CN117731390A - Radio frequency ablation control system - Google Patents
Radio frequency ablation control system Download PDFInfo
- Publication number
- CN117731390A CN117731390A CN202410182850.1A CN202410182850A CN117731390A CN 117731390 A CN117731390 A CN 117731390A CN 202410182850 A CN202410182850 A CN 202410182850A CN 117731390 A CN117731390 A CN 117731390A
- Authority
- CN
- China
- Prior art keywords
- parameter
- ablation
- parameters
- test
- checked
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000007674 radiofrequency ablation Methods 0.000 title claims abstract description 30
- 238000002679 ablation Methods 0.000 claims abstract description 122
- 238000012360 testing method Methods 0.000 claims abstract description 107
- 238000000034 method Methods 0.000 claims abstract description 38
- 230000008569 process Effects 0.000 claims abstract description 32
- 238000011156 evaluation Methods 0.000 claims abstract description 27
- 238000005314 correlation function Methods 0.000 claims abstract description 11
- 238000012216 screening Methods 0.000 claims description 31
- 238000012545 processing Methods 0.000 claims description 26
- 238000012544 monitoring process Methods 0.000 claims description 25
- 230000008859 change Effects 0.000 claims description 22
- 230000007704 transition Effects 0.000 claims description 19
- 230000006870 function Effects 0.000 claims description 18
- 230000003902 lesion Effects 0.000 claims description 12
- 238000005070 sampling Methods 0.000 claims description 12
- 230000001105 regulatory effect Effects 0.000 claims description 10
- 230000001276 controlling effect Effects 0.000 claims description 7
- 238000013210 evaluation model Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000011298 ablation treatment Methods 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 3
- 230000001575 pathological effect Effects 0.000 abstract description 8
- 238000005259 measurement Methods 0.000 description 5
- 206010028980 Neoplasm Diseases 0.000 description 4
- 238000011282 treatment Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 206010052428 Wound Diseases 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002427 irreversible effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 210000004881 tumor cell Anatomy 0.000 description 1
Landscapes
- Surgical Instruments (AREA)
Abstract
The invention belongs to the technical field of radio frequency ablation control systems, and particularly relates to a radio frequency ablation control system which comprises a data acquisition module, a test module, a deduction module, an evaluation module and an execution module. According to the invention, before formally performing ablation on the pathological tissue, the test sample is subjected to ablation operation, and deduction is performed based on the ablation information of the test sample, so that the ablation area of the pathological tissue in the process of changing the ablation needle power can be determined before and after ablation temperature, and the correlation coefficient and the correlation function between the temperature parameter and the ablation area parameter are determined according to the ablation area before and after the ablation needle power is switched, and the ablation needle power is applied to the process of ablating the pathological tissue edge area, so that the ablation of the pathological tissue edge area can be realized, and the damage to normal tissues in a patient in the ablation process can be effectively reduced.
Description
Technical Field
The invention belongs to the technical field of radio frequency ablation control systems, and particularly relates to a radio frequency ablation control system.
Background
The radio frequency ablation is a minimally invasive treatment method, and is mainly used for treating tumors, and the radio frequency ablation is used for generating heat by transmitting high-energy radio frequency waves to tumor tissues so as to coagulate and necrotize tumor cells, and has the advantages of small wounds, quick recovery, short hospitalization time and the like, and is an important tumor treatment means, however, the output of the radio frequency energy needs to be accurately controlled in the radio frequency ablation process so as to ensure complete ablation of the tumor tissues and avoid damage to surrounding normal tissues, so that the development of a radio frequency ablation control system has important significance for improving treatment effects and safety.
In the prior art, the radio frequency ablation control system mainly depends on experience and technology of doctors, the operation process is complex, accurate control of radio frequency energy is difficult to realize, and particularly when ablation operation is carried out on the edge area of focus tissues, the phenomenon of damaging normal tissues in a large area is most likely to occur, so that irreversible unnecessary damage can be caused to patients.
Disclosure of Invention
The invention aims to provide a radio frequency ablation control system which can realize the ablation of the edge area of lesion tissues by utilizing the change process of the ablation temperature and reduce the damage to normal tissues in a patient body in the ablation process.
The technical scheme adopted by the invention is as follows:
a radio frequency ablation control system comprises a data acquisition module, a test module, a deduction module, an evaluation module and an execution module;
the data acquisition module is used for acquiring ablation information, wherein the ablation information comprises a temperature parameter and an ablation area parameter;
the test module is used for acquiring a plurality of test samples, executing ablation treatment on each test sample, counting ablation information of lesion tissues, calibrating the ablation information as test parameters, and synchronously summarizing the ablation information into a test data set;
the deduction module is used for measuring and calculating the association coefficient of the temperature parameter and the ablation area parameter according to the test parameters in the test data set;
the evaluation module is used for inputting the association coefficient into an evaluation model to obtain an execution state of the association coefficient, wherein the execution state comprises an executable state and a non-executable state;
the execution module is used for regulating and controlling the output power of the ablation needle in the ablation process of the focus tissue according to the association coefficient in the executable state.
In a preferred scheme, the test module comprises a classification unit and a test unit, the classification unit is used for classifying a plurality of test samples into a plurality of groups, the test unit is used for regulating and controlling the test power of each group of test samples, synchronously recording the test temperature corresponding to the test power, synchronously recording the ablation area of the test samples before and after the regulation of the test power, and calibrating the ablation area as a test parameter.
In a preferred scheme, the deduction module comprises a monitoring unit and a measuring and calculating unit, wherein the monitoring unit is used for constructing a monitoring period and collecting test parameters in the monitoring period, and the measuring and calculating unit is used for calculating a correlation coefficient corresponding to the temperature parameter and the ablation area parameter according to the temperature parameter and the ablation area parameter;
wherein the correlation coefficient includes a first correlation coefficient and a second correlation coefficient.
In a preferred scheme, when the monitoring unit executes, a plurality of sampling nodes are arranged in the monitoring period, test parameters under each sampling node are obtained in real time, adjacent test parameters are subjected to difference processing, the ablation variation of the test samples under the adjacent sampling nodes is obtained, the ablation variation is calibrated to be a parameter to be checked, and the parameter to be checked is arranged according to the occurrence frequency of the parameter to be checked from large to small;
the monitoring unit is internally provided with allowable deviation parameters, after the parameters to be checked are output, the parameter to be checked with the highest rank is calibrated as a reference parameter, deviation is executed according to the allowable deviation parameters, screening processing is executed on other parameters to be checked according to the deviation result, and the screening result is summarized into a reference data set for being input into the measuring and calculating unit.
In a preferred scheme, the specific process of executing screening processing on other parameters to be checked according to the offset result and summarizing the screening result into the reference data set for inputting the measuring and calculating unit is as follows:
performing offset processing on the reference parameters according to the allowable offset parameters, and constructing a check interval according to an offset result;
comparing the other parameters to be checked with the checking interval one by one, counting the number of the parameters to be checked, the values of which belong to the checking interval, and the ratio of the number to be checked to the parameters to be checked, and calibrating the number to be checked as a transition parameter;
obtaining a screening threshold value and comparing the screening threshold value with the transition parameter;
if the transition parameter is greater than or equal to a screening threshold value, the reference parameter is indicated to be effective, the test parameters corresponding to the parameters to be checked belonging to the check interval are summarized into a reference data set, and the test parameters corresponding to the parameters to be checked not belonging to the check interval are synchronously screened out;
and if the transition parameter is smaller than the screening threshold value, the parameter to be checked with the highest rank is invalid, the parameter to be checked with the next rank is replaced by the reference parameter, and the screening process is continuously executed until the corresponding transition parameter is larger than or equal to the checking threshold value.
In a preferred scheme, when the measuring and calculating unit executes, the temperature parameter before output power switching is calibrated as a front execution parameter, a switching node of the output power of an ablation needle is acquired, the actual output power of the ablation needle under the switching node and the temperature parameter corresponding to the actual output power are counted, the temperature parameter is calibrated as a rear execution parameter, and then difference processing is carried out on the front execution parameter and the rear execution parameter to obtain a temperature fluctuation parameter;
counting the change area of the ablation area of the test sample in the previous execution parameter to the subsequent execution parameter, and calibrating the area as an area fluctuation parameter;
invoking a measuring function from the measuring and calculating unit, inputting temperature fluctuation parameters and area fluctuation parameters corresponding to the test samples into the measuring and calculating function, and determining a first association coefficient and a second association coefficient according to the output result of the measuring and calculating function.
In a preferred embodiment, the step of determining the first correlation coefficient and the second correlation coefficient according to the output result of the measuring function is as follows:
calibrating an output result of the measuring and calculating function into a first parameter to be verified corresponding to the first association coefficient and a second parameter to be verified corresponding to the second association coefficient;
arranging a plurality of first parameters to be verified according to the sequence of the occurrence frequency from high to low, and calibrating the first parameters to be verified with the highest occurrence frequency as a first association coefficient;
and summing the second parameters to be verified, taking an average value, and calibrating the calculation result as a second association coefficient.
In a preferred scheme, after the first correlation coefficient and the second correlation coefficient are output, a correlation function is generated by combining the area fluctuation parameter and the temperature fluctuation parameter.
In a preferred scheme, an evaluation sample is arranged in the evaluation module, and the evaluation sample is used for executing ablation processing according to the power executed by the ablation needle, collecting the change area of an ablation area after the ablation needle executes power adjustment, and calibrating the change area as a first parameter to be evaluated, collecting the change amount of the ablation temperature after the ablation needle executes power adjustment, and calibrating the change amount as a second parameter to be evaluated;
inputting the second parameter to be evaluated into a correlation function, calibrating an output result of the second parameter to be evaluated into a predicted parameter, and performing difference processing on the predicted parameter and the first parameter to be evaluated to obtain a deviation parameter;
invoking an evaluation threshold from the evaluation model and comparing it with the deviation parameter;
if the deviation parameter is greater than or equal to an evaluation threshold, indicating that the execution state of the association coefficient is a non-executable state;
and if the deviation parameter is smaller than the evaluation threshold value, indicating that the execution state of the association coefficient is an executable state.
The invention also provides a radio frequency ablation control system, comprising:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the radio frequency ablation control system described above.
The invention has the technical effects that:
according to the invention, before formally performing ablation on the pathological tissue, the test sample is subjected to ablation operation, and deduction is performed based on the ablation information of the test sample, so that the ablation area of the pathological tissue in the process of changing the ablation needle power can be determined before and after ablation temperature, and the correlation coefficient and the correlation function between the temperature parameter and the ablation area parameter are determined according to the ablation area before and after the ablation needle power is switched, and the ablation needle power is applied to the process of ablating the pathological tissue edge area, so that the ablation of the pathological tissue edge area can be realized, and the damage to normal tissues in a patient in the ablation process can be effectively reduced.
Drawings
FIG. 1 is a flow chart of the system execution provided by the present invention;
fig. 2 is a block diagram of a system provided by the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one preferred embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Referring to fig. 1 and 2, the invention provides a radio frequency ablation control system, which comprises a data acquisition module, a test module, a deduction module, an evaluation module and an execution module;
the data acquisition module is used for acquiring ablation information, wherein the ablation information comprises temperature parameters and ablation area parameters;
the test module is used for acquiring a plurality of test samples, executing ablation treatment on each test sample, counting ablation information of lesion tissues, calibrating the ablation information as test parameters, and synchronously summarizing the ablation information into a test data set;
the deduction module is used for measuring and calculating the association coefficient of the temperature parameter and the ablation area parameter according to the test parameters in the test data set;
the evaluation module is used for inputting the association coefficient into the evaluation model to obtain an execution state of the association coefficient, wherein the execution state comprises an executable state and a non-executable state;
the execution module is used for regulating and controlling the output power of the ablation needle in the ablation process of the focus tissue according to the association coefficient in the executable state.
In the embodiment, firstly, ablation information in the radio frequency ablation process is acquired through a data acquisition module, the ablation information comprises temperature parameters and ablation area parameters, a plurality of test samples of the same category as the lesion tissue are acquired through a test module before the ablation operation is carried out on the lesion tissue of the patient, the test samples are processed in advance, the test samples are processed in the test mode, the temperature parameters are calculated, the correlation coefficient is estimated according to the correlation coefficient, and the correlation coefficient is estimated according to the performance parameters, so that the correlation coefficient can be estimated when the ablation module is carried out according to the performance parameters, the method aims at reducing the output power of an ablation needle before the ablation of the lesion tissue is completed, so that the radiation energy of the ablation needle is reduced, the upper limit of the temperature of the lesion tissue is correspondingly reduced, but the temperature reduction is not an instantaneous phenomenon, so that the lesion tissue can be continuously ablated in the process, the ablation area of the lesion tissue in a patient body before the ablation temperature of the lesion tissue is stable can be clearly measured by combining the corresponding reaction temperatures before and after the output power of the ablation needle through the application of the association coefficient, and therefore, the ablation is performed on the edge area of the lesion tissue by utilizing the change process of the ablation temperature based on the association coefficient, and the damage to normal tissues in the patient body in the ablation process is reduced.
In a preferred embodiment, the test module includes a classification unit and a test unit, the classification unit is used for classifying the plurality of test samples into a plurality of groups, the test unit is used for regulating and controlling the test power of each group of test samples, synchronously recording the test temperature corresponding to the test power, and calibrating the ablation area of the test samples before and after the regulation of the test power as the test parameter.
In this embodiment, when the test module executes, the test sample is divided into multiple groups by the classification unit, and multiple groups of test samples are synchronously tested, so as to provide multiple groups of test data, provide corresponding data support for the subsequent formally executed ablation operation, regulate and control the test power of each group of test samples by the test unit, record the corresponding ablation temperature under each test power, and calibrate the test power as the test temperature.
In a preferred embodiment, the deduction module comprises a monitoring unit and a measuring and calculating unit, wherein the monitoring unit is used for constructing a monitoring period and collecting test parameters in the monitoring period, and the measuring and calculating unit is used for calculating a corresponding association coefficient according to the temperature parameters and the ablation area parameters;
wherein the correlation coefficient includes a first correlation coefficient and a second correlation coefficient.
In this embodiment, the deduction module includes a detection unit and a measurement unit, where the detection unit is used to construct a monitoring period, count test parameters in the monitoring period, and provide data support for execution of the measurement unit, so as to calculate a correlation coefficient between a temperature parameter and an ablation area parameter, and provide data support for the ablation area in a temperature change process when performing the ablation operation formally.
Secondly, setting a plurality of sampling nodes in a monitoring period when the monitoring unit executes, acquiring test parameters under each sampling node in real time, performing difference processing on adjacent test parameters to obtain an ablation variation of the test sample under the adjacent sampling nodes, calibrating the ablation variation as a parameter to be checked, and arranging the parameter to be checked according to the occurrence frequency of the parameter from large to small;
the monitoring unit is internally provided with allowable deviation parameters, after the parameters to be checked are output, the parameter to be checked with the highest rank is calibrated as a reference parameter, deviation is executed according to the allowable deviation parameters, screening processing is executed on other parameters to be checked according to the deviation result, and the screening result is summarized into a reference data set for inputting the measuring and calculating unit.
In this embodiment, after the construction of the monitoring period is completed, a plurality of sampling nodes are set in the monitoring period, so as to collect test parameters under each sampling node, and by performing a difference processing on adjacent test parameters, an ablation area variation of the test sample under the adjacent sampling nodes can be obtained.
In a preferred embodiment, the specific process of performing the screening process on the other parameters to be verified according to the offset result and summarizing the screening result into the reference data set for the input measurement and calculation unit is as follows:
s1, executing offset processing on the reference parameters according to the allowable offset parameters, and constructing a check interval according to an offset result;
s2, comparing other parameters to be checked with the check interval one by one, counting the number of the parameters to be checked, the value of which belongs to the check interval, and the ratio of the number to be checked to the parameters to be checked, and calibrating the number to be checked to be transited to be a transition parameter;
s3, acquiring a screening threshold value and comparing the screening threshold value with the transition parameter;
if the transition parameter is greater than or equal to the screening threshold value, the standard parameter is effective, the test parameters corresponding to the parameters to be checked belonging to the checking interval are summarized into a standard data set, and the test parameters corresponding to the parameters to be checked not belonging to the checking interval are synchronously screened out;
if the transition parameter is smaller than the screening threshold, the parameter to be checked with the highest rank is invalid, the parameter to be checked with the next rank is replaced by the reference parameter, and the screening process is continuously executed until the corresponding transition parameter is larger than or equal to the checking threshold.
As described in the above steps S1-S3, when screening other parameters to be checked, firstly, performing offset processing on the reference parameter according to the allowable offset parameter, determining a check interval according to the head and tail nodes of the offset result, wherein the central node of the check interval is the reference parameter, then comparing the other parameters to be checked with the check interval one by one, so as to count the number of the other parameters to be checked falling into the check interval, and according to the occupation ratio of the other parameters to be checked in all the parameters to be checked, in this embodiment, calibrating the occupation ratio as a transition parameter, then comparing the transition parameter with a screening threshold, and when the transition parameter is smaller than the screening threshold, determining that the parameter to be checked with the highest rank is invalid, and not being the reference parameter, and simultaneously replacing the parameter to be checked with the next rank as the reference parameter, and continuing to perform the screening processing until the corresponding transition parameter is greater than or equal to the check threshold, otherwise, directly summarizing the test parameters corresponding to the parameters to be checked belonging to the check interval as the reference data set.
Secondly, when the measuring and calculating unit performs the operation, the temperature parameter before the output power is switched is calibrated as a front execution parameter, a switching node of the output power of the ablation needle is acquired, the actual output power of the ablation needle under the switching node and the temperature parameter corresponding to the actual output power are counted, the temperature parameter is calibrated as a rear execution parameter, and then the difference processing is performed on the front execution parameter and the rear execution parameter to obtain a temperature fluctuation parameter;
counting the change area of the ablation area of the test sample in the previous execution parameter to the subsequent execution parameter, and calibrating the area as an area fluctuation parameter;
calling a measuring function from a measuring and calculating unit, inputting temperature fluctuation parameters and area fluctuation parameters corresponding to each test sample into the measuring and calculating function, and determining a first correlation coefficient and a second correlation coefficient according to the output result of the measuring and calculating function.
In this embodiment, after the reference data set is determined, the measurement and calculation unit may be executed, at this time, the temperature parameter before switching the output power needs to be collected first and calibrated as the pre-execution parameter, the temperature parameter corresponding to the output power after switching is the post-execution parameter, then the pre-execution parameter and the post-execution parameter are subjected to difference processing to obtain the temperature fluctuation parameter, then the ablation area of the test sample in the process of changing the post-execution parameter is counted, the area fluctuation parameter may be determined, and finally the temperature fluctuation parameter and the area fluctuation parameter are input into the measurement and calculation function, and the first association coefficient and the second association coefficient may be calculatedCorrelation coefficients, wherein the expression of the measuring and calculating function is:wherein->Representing the temperature fluctuation parameter-> Representing the area fluctuation parameter, +.>Representing a first parameter to be verified->And representing the second parameter to be verified, and then further processing the first parameter to be verified and the second parameter to be verified to obtain a first association coefficient and a second association coefficient.
Wherein, the steps of determining the first association coefficient and the second association coefficient according to the output result of the measuring and calculating function are as follows:
stp1, calibrating an output result of the measuring and calculating function into a first parameter to be verified corresponding to the first association coefficient and a second parameter to be verified corresponding to the second association coefficient;
stp2, arranging a plurality of first parameters to be verified according to the sequence of the occurrence frequency from high to low, and calibrating the first parameters to be verified with the highest occurrence frequency as first association coefficients;
stp3, summing the second parameters to be verified, taking an average value, and calibrating the calculation result as a second association coefficient.
As described in the steps Stp1-Stp3, after the first to-be-verified parameters and the second to-be-verified parameters are determined, the first to-be-verified parameters are ranked, wherein the first to-be-verified parameter with the highest occurrence frequency is calibrated as the first correlation coefficient, and the second to-be-verified parameters are summed and averagedProcessing so that a second correlation coefficient can be determined, and after the first correlation coefficient and the second correlation coefficient are output, generating a correlation function in combination with the area fluctuation parameter and the temperature fluctuation parameter, wherein the expression of the correlation function is:wherein->A first coefficient of correlation is represented and,and representing a second association coefficient, and predicting the change of the area of the ablation area of the focus area after power switching in the formal execution process according to the association function.
In a preferred embodiment, an evaluation sample is arranged in the evaluation module, and the evaluation sample is used for executing ablation treatment according to the power executed by the ablation needle, collecting the change area of an ablation area after the ablation needle executes power adjustment, and calibrating the change area as a first parameter to be evaluated, collecting the change amount of the ablation temperature after the power adjustment is executed, and calibrating the change amount as a second parameter to be evaluated;
inputting the second parameter to be evaluated into the correlation function, calibrating an output result of the second parameter to be evaluated into a predicted parameter, and performing difference processing on the predicted parameter and the first parameter to be evaluated to obtain a deviation parameter;
invoking an evaluation threshold from the evaluation model and comparing it with the deviation parameter;
if the deviation parameter is greater than or equal to the evaluation threshold, indicating that the execution state of the association coefficient is a non-executable state;
and if the deviation parameter is smaller than the evaluation threshold value, indicating that the execution state of the association coefficient is an executable state.
In this embodiment, after the first correlation coefficient and the second correlation coefficient are determined, the feasibility of the first correlation coefficient and the second correlation coefficient is further evaluated, in this embodiment, one or more groups of evaluation samples are taken and subjected to ablation processing, the area of the change of the ablation area after the power adjustment is collected, the area of the change of the ablation area is then calibrated to be a first parameter to be evaluated, similarly, the amount of change of the ablation temperature after the power adjustment is collected and calibrated to be a second parameter to be evaluated, the second parameter to be evaluated is input into the correlation function to obtain a predicted parameter, the predicted parameter and the first parameter to be evaluated are subjected to difference processing, a deviation parameter corresponding to the output value of the correlation function can be obtained, an evaluation threshold is then called from the evaluation model, the deviation parameter is compared, and under the condition that the deviation parameter is smaller than the evaluation threshold, the execution state of the correlation coefficient (the sum of the first correlation coefficient and the second correlation coefficient) is determined to be an executable state, and then the output power of a needle in the ablation process in the focus tissue of the patient can be regulated and controlled according to the correlation coefficient in the executable state, and damage to normal tissue of the patient in the ablation process can be reduced.
The invention also provides a radio frequency ablation control system, comprising:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the radio frequency ablation control system described above.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention. Structures, devices and methods of operation not specifically described and illustrated herein, unless otherwise indicated and limited, are implemented according to conventional means in the art.
Claims (10)
1. The utility model provides a radio frequency ablation control system, includes data acquisition module, test module, deduction module, evaluation module and execution module, its characterized in that:
the data acquisition module is used for acquiring ablation information, wherein the ablation information comprises a temperature parameter and an ablation area parameter;
the test module is used for acquiring a plurality of test samples, executing ablation treatment on each test sample, counting ablation information of lesion tissues, calibrating the ablation information as test parameters, and synchronously summarizing the ablation information into a test data set;
the deduction module is used for measuring and calculating the association coefficient of the temperature parameter and the ablation area parameter according to the test parameters in the test data set;
the evaluation module is used for inputting the association coefficient into an evaluation model to obtain an execution state of the association coefficient, wherein the execution state comprises an executable state and a non-executable state;
the execution module is used for regulating and controlling the output power of the ablation needle in the ablation process of the focus tissue according to the association coefficient in the executable state.
2. The radio frequency ablation control system of claim 1, wherein: the test module comprises a classification unit and a test unit, wherein the classification unit is used for classifying a plurality of test samples into a plurality of groups, the test unit is used for regulating and controlling the test power of each group of test samples, synchronously recording the test temperature corresponding to the test power, synchronously regulating and controlling the ablation area of the test samples before and after the test power, and calibrating the ablation area as a test parameter.
3. The radio frequency ablation control system of claim 2, wherein: the deduction module comprises a monitoring unit and a measuring and calculating unit, wherein the monitoring unit is used for constructing a monitoring period and collecting test parameters in the monitoring period, and the measuring and calculating unit is used for calculating a corresponding association coefficient according to the temperature parameters and the ablation area parameters;
wherein the correlation coefficient includes a first correlation coefficient and a second correlation coefficient.
4. A radio frequency ablation control system according to claim 3, wherein: when the monitoring unit executes, setting a plurality of sampling nodes in the monitoring period, acquiring test parameters under each sampling node in real time, performing difference processing on adjacent test parameters to obtain an ablation variation of a test sample under the adjacent sampling nodes, calibrating the ablation variation as a parameter to be checked, and arranging the parameter to be checked according to the occurrence frequency of the parameter to be checked from large to small;
the monitoring unit is internally provided with allowable deviation parameters, after the parameters to be checked are output, the parameter to be checked with the highest rank is calibrated as a reference parameter, deviation is executed according to the allowable deviation parameters, screening processing is executed on other parameters to be checked according to the deviation result, and the screening result is summarized into a reference data set for being input into the measuring and calculating unit.
5. The radio frequency ablation control system of claim 1, wherein: the specific process of executing screening processing on other parameters to be checked according to the offset result and summarizing the screening result into a reference data set for inputting the measuring and calculating unit is as follows:
performing offset processing on the reference parameters according to the allowable offset parameters, and constructing a check interval according to an offset result;
comparing the other parameters to be checked with the checking interval one by one, counting the number of the parameters to be checked, the values of which belong to the checking interval, and the ratio of the number to be checked to the parameters to be checked, and calibrating the number to be checked as a transition parameter;
obtaining a screening threshold value and comparing the screening threshold value with the transition parameter;
if the transition parameter is greater than or equal to a screening threshold value, the reference parameter is indicated to be effective, the test parameters corresponding to the parameters to be checked belonging to the check interval are summarized into a reference data set, and the test parameters corresponding to the parameters to be checked not belonging to the check interval are synchronously screened out;
and if the transition parameter is smaller than the screening threshold value, the parameter to be checked with the highest rank is invalid, the parameter to be checked with the next rank is replaced by the reference parameter, and the screening process is continuously executed until the corresponding transition parameter is larger than or equal to the checking threshold value.
6. A radio frequency ablation control system according to claim 3, wherein: when the measuring and calculating unit performs the operation, the temperature parameter before the output power is switched is calibrated as a front execution parameter, a switching node of the output power of the ablation needle is acquired, the actual output power of the ablation needle under the switching node and the temperature parameter corresponding to the actual output power are counted, the temperature parameter is calibrated as a rear execution parameter, and then the front execution parameter and the rear execution parameter are subjected to difference processing to obtain a temperature fluctuation parameter;
counting the change area of the ablation area of the test sample in the previous execution parameter to the subsequent execution parameter, and calibrating the area as an area fluctuation parameter;
invoking a measuring function from the measuring and calculating unit, inputting temperature fluctuation parameters and area fluctuation parameters corresponding to the test samples into the measuring and calculating function, and determining a first association coefficient and a second association coefficient according to the output result of the measuring and calculating function.
7. The radio frequency ablation control system of claim 6, wherein: the step of determining the first association coefficient and the second association coefficient according to the output result of the measuring and calculating function is as follows:
calibrating an output result of the measuring and calculating function into a first parameter to be verified corresponding to the first association coefficient and a second parameter to be verified corresponding to the second association coefficient;
arranging a plurality of first parameters to be verified according to the sequence of the occurrence frequency from high to low, and calibrating the first parameters to be verified with the highest occurrence frequency as a first association coefficient;
and summing the second parameters to be verified, taking an average value, and calibrating the calculation result as a second association coefficient.
8. The radio frequency ablation control system of claim 7, wherein: and after the first correlation coefficient and the second correlation coefficient are output, generating a correlation function by combining the area fluctuation parameter and the temperature fluctuation parameter.
9. The radio frequency ablation control system of claim 8, wherein: an evaluation sample is arranged in the evaluation module, and is used for executing ablation processing according to the power executed by the ablation needle, collecting the change area of the ablation area after the power is regulated, calibrating the change area as a first parameter to be evaluated, collecting the change amount of the ablation temperature after the power is regulated, and calibrating the change amount as a second parameter to be evaluated;
inputting the second parameter to be evaluated into a correlation function, calibrating an output result of the second parameter to be evaluated into a predicted parameter, and performing difference processing on the predicted parameter and the first parameter to be evaluated to obtain a deviation parameter;
invoking an evaluation threshold from the evaluation model and comparing it with the deviation parameter;
if the deviation parameter is greater than or equal to an evaluation threshold, indicating that the execution state of the association coefficient is a non-executable state;
and if the deviation parameter is smaller than the evaluation threshold value, indicating that the execution state of the association coefficient is an executable state.
10. A radio frequency ablation control system, characterized by: comprising the following steps:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the radio frequency ablation control system of any of claims 1-9.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410182850.1A CN117731390B (en) | 2024-02-19 | 2024-02-19 | Radio frequency ablation control system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410182850.1A CN117731390B (en) | 2024-02-19 | 2024-02-19 | Radio frequency ablation control system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN117731390A true CN117731390A (en) | 2024-03-22 |
CN117731390B CN117731390B (en) | 2024-06-25 |
Family
ID=90279909
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202410182850.1A Active CN117731390B (en) | 2024-02-19 | 2024-02-19 | Radio frequency ablation control system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117731390B (en) |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5904709A (en) * | 1996-04-17 | 1999-05-18 | The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration | Microwave treatment for cardiac arrhythmias |
CN1453563A (en) * | 2002-04-24 | 2003-11-05 | 董宝玮 | Simulated measurement of heat field distribution in microwave solidification treatment of tumor |
US20160335413A1 (en) * | 2015-05-15 | 2016-11-17 | University Health Network | System and method for minimally invasive thermal ablation treatment planning |
CN110151309A (en) * | 2018-02-14 | 2019-08-23 | 上海交通大学 | The preoperative planing method of multi-modal ablation and its equipment |
CN111685870A (en) * | 2020-06-23 | 2020-09-22 | 南京诺源医疗器械有限公司 | Microwave ablation carbonization regulation and control method for liver |
CN114587565A (en) * | 2022-03-01 | 2022-06-07 | 河南中医药大学 | Temperature control method and system in radio frequency ablation |
CN115546213A (en) * | 2022-11-30 | 2022-12-30 | 海杰亚(北京)医疗器械有限公司 | Cryoablation range prediction method and device, storage medium and electronic equipment |
CN116172688A (en) * | 2022-12-05 | 2023-05-30 | 复旦大学 | Radiofrequency ablation damage depth prediction model and system based on support vector regression |
CN116211453A (en) * | 2023-05-09 | 2023-06-06 | 浙江伽奈维医疗科技有限公司 | Temperature control method and system for varicose vein radio frequency ablation catheter |
CN116805308A (en) * | 2021-06-28 | 2023-09-26 | 杭州佳量医疗科技有限公司 | Laser ablation evaluation system based on magnetic resonance guidance |
CN117064552A (en) * | 2023-10-16 | 2023-11-17 | 南京康友医疗科技有限公司 | Auxiliary planning system for preoperative self-adaptive matching of tumor morphology |
CN117084777A (en) * | 2023-09-04 | 2023-11-21 | 天津市肿瘤医院空港医院 | High-frequency irreversible electroporation pulse ablation system and method |
-
2024
- 2024-02-19 CN CN202410182850.1A patent/CN117731390B/en active Active
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5904709A (en) * | 1996-04-17 | 1999-05-18 | The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration | Microwave treatment for cardiac arrhythmias |
CN1453563A (en) * | 2002-04-24 | 2003-11-05 | 董宝玮 | Simulated measurement of heat field distribution in microwave solidification treatment of tumor |
US20160335413A1 (en) * | 2015-05-15 | 2016-11-17 | University Health Network | System and method for minimally invasive thermal ablation treatment planning |
CN110151309A (en) * | 2018-02-14 | 2019-08-23 | 上海交通大学 | The preoperative planing method of multi-modal ablation and its equipment |
CN111685870A (en) * | 2020-06-23 | 2020-09-22 | 南京诺源医疗器械有限公司 | Microwave ablation carbonization regulation and control method for liver |
WO2021258640A1 (en) * | 2020-06-23 | 2021-12-30 | 南京诺源医疗器械有限公司 | Microwave ablation carbonization control method for liver |
CN116805308A (en) * | 2021-06-28 | 2023-09-26 | 杭州佳量医疗科技有限公司 | Laser ablation evaluation system based on magnetic resonance guidance |
CN114587565A (en) * | 2022-03-01 | 2022-06-07 | 河南中医药大学 | Temperature control method and system in radio frequency ablation |
CN115546213A (en) * | 2022-11-30 | 2022-12-30 | 海杰亚(北京)医疗器械有限公司 | Cryoablation range prediction method and device, storage medium and electronic equipment |
CN116172688A (en) * | 2022-12-05 | 2023-05-30 | 复旦大学 | Radiofrequency ablation damage depth prediction model and system based on support vector regression |
CN116211453A (en) * | 2023-05-09 | 2023-06-06 | 浙江伽奈维医疗科技有限公司 | Temperature control method and system for varicose vein radio frequency ablation catheter |
CN117084777A (en) * | 2023-09-04 | 2023-11-21 | 天津市肿瘤医院空港医院 | High-frequency irreversible electroporation pulse ablation system and method |
CN117064552A (en) * | 2023-10-16 | 2023-11-17 | 南京康友医疗科技有限公司 | Auxiliary planning system for preoperative self-adaptive matching of tumor morphology |
Also Published As
Publication number | Publication date |
---|---|
CN117731390B (en) | 2024-06-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Nykter et al. | Simulation of microarray data with realistic characteristics | |
US6223074B1 (en) | Method and computer program product for assessing neurological conditions and treatments using evoked response potentials | |
CN110211343B (en) | Laboratory management method, system, computer device and storage medium | |
Shinomoto et al. | Regional and laminar differences in in vivo firing patterns of primate cortical neurons | |
CN112365361A (en) | Power metering data quality physical examination method based on rule base | |
CN107705828A (en) | Prejudge detection and processing method and processing device, terminal device, the storage medium of rule | |
CN111257672A (en) | Line loss point inspection method and device, computer equipment and storage medium | |
CN117731390B (en) | Radio frequency ablation control system | |
CN117330850B (en) | Radiation detection method, system, equipment and medium for intelligent mobile terminal | |
CN117972343A (en) | Voltage sag probability assessment method and system based on Hamiltonian Monte Carlo | |
CN112057068A (en) | Epilepsia pathological data classification method and device and storage medium | |
Pugh et al. | High-confidence data programming for evaluating suppression of physiological alarms | |
CN114627963A (en) | Protein data filling method, system, computer device and readable storage medium | |
CN115064257A (en) | Method, device, medium and equipment for establishing detrusor overactivity diagnosis model | |
CN110706803B (en) | Method and device for determining myocardial fibrosis, readable medium and electronic equipment | |
CN114358618A (en) | Doctor hospitalization service performance evaluation method and system based on case combination | |
CN113197116A (en) | Live pig health monitoring and slaughter time evaluation method, terminal device and storage medium | |
CN118121487B (en) | Temperature sensor data exception processing method for moxibustion therapeutic instrument | |
KR20150009770A (en) | Real-time multichannel neural signal processing device and method | |
CN117592762B (en) | Cost analysis method and system based on project engineering dynamic data | |
CN117851960B (en) | Temperature test data management method based on electronic cigarette atomizer | |
CN113642386B (en) | Method, device, equipment and medium for evaluating nasopharyngeal carcinoma treatment effect based on deep learning | |
EP1206742A2 (en) | Assessing neurological conditions using evoked response potentials | |
CN117379021B (en) | Old person health index monitoring system based on intelligent wearing equipment | |
CN116386850B (en) | Medical data analysis method, medical data analysis device, computer equipment and storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |