Dominic Delport, Ben Sanderson, Rachel Sacks-Davis, Stefanie Vaccher, Milena Dalton, Rowan Martin-Hughes, Tewodaj Mengistu, Dan Hogan, Romesh Abeysuriya, Nick Scott
A Framework for Assessing the Impact of Outbreak Response Immunization Programs
Diseases (Basel, Switzerland)
gallbladder cancer gbc highly aggressive diagnosis gbc challenging benign gallbladder lesions similar imaging features aim develop validate deep learning dl model automatic detection gbc abdominal ultrasound us compare diagnostic performance radiologists prospective study multiscale secondorder poolingbased dl classifier model trained training validation cohorts using us data patients gallbladder lesions acquired august 2019 june 2021 postgraduate institute medical education research tertiary care hospital north india performance dl model detect gbc evaluated temporally independent test cohort july 2021september 2022 compared two radiologists study included 233 patients training set mean age 48 2sd 23 years 142 women 59 patients validation set mean age 514 192 years 38 women 273 patients test set mean age 504 221 years 177 women test set dl model sensitivity specificity area receiver operating characteristic curve auc 923 95 ci 881956 744 95 ci 653799 0887 95 ci 08440930 respectively detecting gbc comparable radiologists dlbased approach showed high sensitivity 89893 auc 08100890 detecting gbc presence stones contracted gallbladders lesion size 10 mm neck lesions comparable radiologists p 00520738 sensitivity p 00610745 auc sensitivity dlbased detection mural thickening type gbc significantly greater one radiologists 878 vs 728 p 0012 despite reduced specificity dlbased approach demonstrated diagnostic performance comparable experienced radiologists detecting gbc using us however multicentre studies warranted explore potential dlbased diagnosis gbc fully none