Ashutosh Kumar, Kavita Chawla, Arun Mishra, Geetu Singh, Achyut K Pandey, Praveen Rikhari
Are doctors feeling burnout? - Multicenter cross-sectional study on burnout syndrome and its determinants during the ongoing pandemic
Indian journal of psychiatry
objectivethis study aims address limitations traditional methods calculating linear energy transfer let critical component assessing relative biological effectiveness rbe currently monte carlo mc simulation goldstandard accuracy resourceintensive slow dose optimization speedier analytical approximation compromised accuracy objective prototype deeplearningbased model calculating doseaveraged let letd using patient anatomy dosetowater dw data facilitating realtime biological dose evaluation let optimization within proton treatment planning systemsapproach 275 4field prostate proton stereotactic body radiotherapy plans analyzed rendering total 1100 fields randomly split 880 110 110 fields training validation testing 3d cascaded unet model along data processing inference pipelines developed generate patientspecific letddistributions ct images dw accuracy letdof test dataset evaluated mcgenerated ground truth voxelbased mean absolute error mae gamma analysismain resultsthe proposed model accurately inferred letddistributions proton field test dataset singlefield letdcalculation took around 100 ms trained models running nvidia a100 gpu selected model yielded average mae 094 014 mev cm1and gamma passing rate 974 13 applied test dataset largest discrepancy edge fields dose gradient largest counting statistics lowestsignificancethis study demonstrates deeplearningbased models efficiently calculate letdwith high accuracy fastforward approach model shows great potential utilized optimizing rbe proton treatment plans future efforts focus enhancing models performance evaluating adaptability different clinical scenarios