Lisa J Wallis, Zsófia Virányi, Corsin A Müller, Samuel Serisier, Ludwig Huber, Friederike Range
Aging effects on discrimination learning, logical reasoning and memory in pet dogs
Age (Dordrecht, Netherlands)
patients breast imaging reporting data system birads 4 mammogram currently recommended biopsy however 7080 biopsies negativebenign study developed deep learning classification algorithm mammogram images classify birads 4 suspicious lesions aiming reduce unnecessary breast biopsies retrospective study included 847 patients birads 4 breast lesion underwent biopsy single institution included 200 invasive breast cancers 200 ductal carcinoma insitu dcis 198 pure atypias 194 benign 55 atypias upstaged malignancy excisional biopsy employed convolutional neural networks perform 4 binary classification tasks benign vs atypia invasive dcis aiming identify benign cases biopsy may avoided ii benign pure atypia vs atypiaupstaged invasive dcis aiming reduce excision atypia upgraded cancer surgery iii benign vs 3 classes individually atypia dcis invasive aiming precise diagnosis iv pure atypia vs atypiaupstaged aiming reduce unnecessary excisional biopsies atypia patients 95 sensitivity higher stage disease class ensured tasks specificity value 33 task 25 task ii respectively task iii respective specificity value 30 vs atypia 30 vs dcis 46 vs invasive tumor task iv specificity 35 auc values 4 tasks 072 067 070073072 067 respectively deep learning digital mammograms containing birads 4 findings identify lesions may need breast biopsy leading potential reduction unnecessary procedures attendant costs stress