Well, I've created it myself. So we do this with, um, basic image registration. There are some software tools available for this, but we use the main tool, uh, Elastics it's called, and you do this in program, uh, programming software such as Python or, um, MATLAB, uh, something like that, but there are multiple options.
Well, I've created it myself. So we do this with, um, basic image registration. There are some software tools available for this, but we use the main tool, uh, Elastics it's called, and you do this in program, uh, programming software such as Python or, um, MATLAB, uh, something like that, but there are multiple options.
Dominique Simons, MSc - Best of the Best in Pediatric Surgery 2024
▶Ep 15 · 0:35
quoteNeuroblastoma is a surgically challenging tumor to resect, and this is mainly due to the adhesion and encasement to important structures, the heterogeneity, and the therapy-induced changes.↗
▶Ep 15 · 0:35
clinicalNeuroblastoma is surgically challenging to resect mainly due to adhesion and encasement to important structures, heterogeneity, and therapy-induced changes.↗
▶Ep 15 · 0:35
quoteNeuroblastoma is a surgically challenging tumor to resect, and this is mainly due to the adhesion and encasement to important structures, the heterogeneity, and the therapy-induced changes.↗
▶Ep 15 · 0:35
clinicalNeuroblastoma is surgically challenging to resect mainly due to adhesion and encasement to important structures, heterogeneity, and therapy-induced changes.↗
▶Ep 15 · 0:45
guidelineThe surgical goal for neuroblastoma is to resect more than 95% of the tumor tissue while sparing anatomical structures.↗
▶Ep 15 · 0:45
guidelineThe surgical goal for neuroblastoma is to resect more than 95% of the tumor tissue while sparing anatomical structures.↗
▶Ep 15 · 0:45
quoteSo the goal for surgeons is to resect more than 95% of the tumor tissue while sparing those anatomical structures.↗
▶Ep 15 · 0:45
quoteSo the goal for surgeons is to resect more than 95% of the tumor tissue while sparing those anatomical structures.↗
▶Ep 15 · 0:53
clinical3D models of patient-specific anatomy are routinely made to prepare surgeons for neuroblastoma resection.↗
▶Ep 15 · 0:53
clinical3D models of patient-specific anatomy are routinely made to prepare surgeons for neuroblastoma resection.↗
▶Ep 15 · 0:57
clinicalComplete resection of neuroblastoma is often very difficult or even impossible due to tumor location.↗
▶Ep 15 · 0:57
clinicalComplete resection of neuroblastoma is often very difficult or even impossible due to tumor location.↗
▶Ep 15 · 1:07
clinicalSurgeons face a dilemma of whether to resect more tumor tissue with possible complications such as bleeding or to leave residual tumor tissue.↗
▶Ep 15 · 1:07
clinicalSurgeons face a dilemma of whether to resect more tumor tissue with possible complications such as bleeding or to leave residual tumor tissue.↗
▶Ep 15 · 1:17
quoteAnd this led to the question, can we actually distinguish vital from non-vital tumor tissue since the nerveoblastoma is so heterogeneous?↗
▶Ep 15 · 1:17
quoteAnd this led to the question, can we actually distinguish vital from non-vital tumor tissue since the nerveoblastoma is so heterogeneous?↗
▶Ep 15 · 1:26
opinionBiology can be used as a biomarker for tumor vitality in neuroblastoma.↗
▶Ep 15 · 1:26
opinionBiology can be used as a biomarker for tumor vitality in neuroblastoma.↗
▶Ep 15 · 1:36
clinicalIn MIBG SPECT-CT imaging, high uptake is associated with viable tumor tissue.↗
▶Ep 15 · 1:36
clinicalIn ADC imaging, diffusion restriction is associated with viable tumor tissue and appears as a low signal.↗
▶Ep 15 · 1:36
clinicalIn MIBG SPECT-CT imaging, high uptake is associated with viable tumor tissue.↗
▶Ep 15 · 1:36
clinicalIn ADC imaging, diffusion restriction is associated with viable tumor tissue and appears as a low signal.↗
▶Ep 15 · 1:52
clinicalMIBG uptake and diffusion restriction in neuroblastoma change over time, suggesting the biology and vitality of the tumor may also change.↗
▶Ep 15 · 1:52
clinicalMIBG uptake and diffusion restriction in neuroblastoma change over time, suggesting the biology and vitality of the tumor may also change.↗
▶Ep 15 · 2:10
clinicalADC and MIBG scans have different 3D positions from T1-weighted MRI, requiring image registration.↗
▶Ep 15 · 2:10
clinicalADC and MIBG scans have different 3D positions from T1-weighted MRI, requiring image registration.↗
▶Ep 15 · 2:18
clinicalRegistration accuracy is evaluated using the Dice coefficient (which measures overlap between two structures) and target registration error (which measures distance between two points).↗
▶Ep 15 · 2:18
clinicalRegistration accuracy is evaluated using the Dice coefficient (which measures overlap between two structures) and target registration error (which measures distance between two points).↗
▶Ep 15 · 2:30
clinicalRisk group delineation uses ADC and MIBG values within the tumor volume with thresholds based on literature.↗
▶Ep 15 · 2:30
clinicalRisk group delineation uses ADC and MIBG values within the tumor volume with thresholds based on literature.↗
▶Ep 15 · 2:41
clinicalHigh-risk areas in the 3D model are associated with diffusion restriction and MIBG uptake.↗
▶Ep 15 · 2:41
clinicalHigh-risk areas in the 3D model are associated with diffusion restriction and MIBG uptake.↗
▶Ep 15 · 2:58
epidemiologicalSeven patients with abdominal neuroblastoma eligible for surgery were included prospectively.↗
▶Ep 15 · 2:58
epidemiologicalSeven patients with abdominal neuroblastoma eligible for surgery were included prospectively.↗
▶Ep 15 · 3:10
clinicalAccurate initial registration was achieved for all patients with a median Dice of 0.81 for ADC and 0.77 for MIBG.↗
▶Ep 15 · 3:10
clinicalMultimodal 3D models were successfully created for every patient in the study.↗
▶Ep 15 · 3:10
quoteWe achieved an accurate initial registration for all patients with a median dies of 0.81 for the ADC and the median dies of 0.77 for the MIBG and the median target registration error was 5.3 for the ADC and 4.3 for MIBG and this allowed the creation of multi-modal 3D models for every patient.↗
▶Ep 15 · 3:10
clinicalAccurate initial registration was achieved for all patients with a median Dice of 0.81 for ADC and 0.77 for MIBG.↗
▶Ep 15 · 3:10
clinicalMedian target registration error was 5.3 mm for ADC and 4.3 mm for MIBG.↗
▶Ep 15 · 3:10
clinicalMultimodal 3D models were successfully created for every patient in the study.↗
▶Ep 15 · 3:10
quoteWe achieved an accurate initial registration for all patients with a median dies of 0.81 for the ADC and the median dies of 0.77 for the MIBG and the median target registration error was 5.3 for the ADC and 4.3 for MIBG and this allowed the creation of multi-modal 3D models for every patient.↗
▶Ep 15 · 3:10
clinicalMedian target registration error was 5.3 mm for ADC and 4.3 mm for MIBG.↗
▶Ep 15 · 3:37
clinicalIn some cases, ADC and MIBG risk models showed similar patterns, with the lateral side of the tumor marked as high risk and the medial side as low risk.↗
▶Ep 15 · 3:37
clinicalIn some cases, ADC and MIBG risk models showed similar patterns, with the lateral side of the tumor marked as high risk and the medial side as low risk.↗
▶Ep 15 · 3:52
clinicalIn other cases, ADC and MIBG identified completely different regions as high risk (e.g., cranial part high-risk on ADC versus a different region on MIBG).↗
▶Ep 15 · 3:52
clinicalIn other cases, ADC and MIBG identified completely different regions as high risk (e.g., cranial part high-risk on ADC versus a different region on MIBG).↗
▶Ep 15 · 4:09
quoteAnd this led to the question of whether these areas really predict what the literature suggests and this brings me to, uh, my future perspectives.↗
▶Ep 15 · 4:09
quoteAnd this led to the question of whether these areas really predict what the literature suggests and this brings me to, uh, my future perspectives.↗
▶Ep 15 · 4:53
quoteUh, however, there are still some limitations as the thresholds are based on limited literature which questions the reliability of our ABC and MIBG values that we use and we should evaluate the accuracy of the models.↗
▶Ep 15 · 4:53
opinionThe thresholds used for risk stratification are based on limited literature, which questions the reliability of the ADC and MIBG values used.↗
▶Ep 15 · 4:53
opinionThe thresholds used for risk stratification are based on limited literature, which questions the reliability of the ADC and MIBG values used.↗
▶Ep 15 · 4:53
quoteUh, however, there are still some limitations as the thresholds are based on limited literature which questions the reliability of our ABC and MIBG values that we use and we should evaluate the accuracy of the models.↗
▶Ep 15 · 5:48
clinicalThe image registration is performed using Elastix software in programming environments such as Python or MATLAB.↗
▶Ep 15 · 5:48
clinicalThe image registration is performed using Elastix software in programming environments such as Python or MATLAB.↗
▶Ep 15 · 5:48
quoteWell, I've created it myself. So we do this with, um, basic image registration. There are some software tools available for this, but we use the main tool, uh, Elastics it's called, and you do this in program, uh, programming software such as Python or, um, MATLAB, uh, something like that, but there are multiple options.↗
▶Ep 15 · 5:48
quoteWell, I've created it myself. So we do this with, um, basic image registration. There are some software tools available for this, but we use the main tool, uh, Elastics it's called, and you do this in program, uh, programming software such as Python or, um, MATLAB, uh, something like that, but there are multiple options.↗
▶Ep 15 · 6:14
quoteWell, the main stubborn thing to do is to make the segmentation of the neuroblastoma. That's most of the time, uh, but actually the registration is about a few minutes. It's really quick.↗
▶Ep 15 · 6:14
clinicalSegmentation of the neuroblastoma is the most time-consuming step; the actual registration takes only a few minutes.↗
▶Ep 15 · 6:14
clinicalSegmentation of the neuroblastoma is the most time-consuming step; the actual registration takes only a few minutes.↗
▶Ep 15 · 6:14
quoteWell, the main stubborn thing to do is to make the segmentation of the neuroblastoma. That's most of the time, uh, but actually the registration is about a few minutes. It's really quick.↗
▶Ep 15 · 7:07
clinicalSimmons performs the 3D model creation herself with verification from radiologists, especially in early phases.↗
▶Ep 15 · 7:07
clinicalSimmons performs the 3D model creation herself with verification from radiologists, especially in early phases.↗
▶Ep 15 · 7:07
quoteI mainly do it myself with the help of, of course, radiologists because I always check them with them. Um, you get better over time, of course, but especially in the first phases, I always check my models with the radiologist uh to make sure that I was correct.↗
▶Ep 15 · 7:07
quoteI mainly do it myself with the help of, of course, radiologists because I always check them with them. Um, you get better over time, of course, but especially in the first phases, I always check my models with the radiologist uh to make sure that I was correct.↗
▶Ep 15 · 7:22
quoteAnd it's really interesting what you say about how this can possibly change because now we really believe that we should, uh, resect the MRBG positive area, but this shows that we may, maybe don't know.↗
▶Ep 15 · 7:22
opinionCurrent practice believes that MIBG-positive areas should be resected, but discordant ADC/MIBG findings suggest this may need re-evaluation.↗
▶Ep 15 · 7:22
quoteAnd it's really interesting what you say about how this can possibly change because now we really believe that we should, uh, resect the MRBG positive area, but this shows that we may, maybe don't know.↗
▶Ep 15 · 7:22
opinionCurrent practice believes that MIBG-positive areas should be resected, but discordant ADC/MIBG findings suggest this may need re-evaluation.↗