Jerry C Tasantab
Beyond the plan: How land use control practices influence flood risk in Sekondi-Takoradi
Jamba (Potchefstroom, South Africa)
radiation induced acute skin toxicity ast considered common side effect breast radiation therapy goal study design dosiomicsbased machine learning ml models prediction ast enable creating optimized treatment plans highrisk individuals dosiomics features extracted using pyradiomics tool v301 along treatment planderived dose volume histograms dvhs patientspecific treatmentrelated ptr data breast cancer patients used modeling clinical scoring done using common terminology criteria adverse events ctcae v40 criteria skinspecific symptoms 52 breast cancer patients grouped ast 2 ctcae 2 ast 2 ctcae 2 toxicity grades facilitate ast modeling randomly divided training 70 testing 30 cohorts multiple prediction models assessed multivariate analysis incorporating different combinations feature groups dosiomics dvh ptr individually collectively total seven unique combinations along seven classification algorithms considered feature selection performance model evaluated test group using area receiver operating characteristic curve auc f1score accuracy precision recall model also studied statistical analysis involved features differences ast 2 ast 2 groups cutoff value calculations results showed 44 patients developed ast 2 tomotherapy dosiomics dos model developed using dosiomics features exhibited noteworthy improvement auc 078 spatial information preserved dose distribution compared dvh features 071 furthermore baseline ml model created using ptr features comparison dos models showed significance dosiomics early ast prediction employing extra tree et classifiers dos dvh ptr model achieved statistically significant improved performance terms auc 083 95 ci 071090 accuracy 070 precision 074 sensitivity 072 compared models study confirmed benefit dosiomicsbased ml prediction ast however combination dosiomics dvh ptr yields significant improvement ast prediction results study provide opportunity timely interventions prevent occurrence radiation induced ast