Qiufeng Gao, Bin Zhang, Qian Zhou, Cuiyao Lei, Xiaofei Wei, Yaojiang Shi
The impact of provider-patient communication skills on primary healthcare quality and patient satisfaction in rural China: insights from a standardized patient study
BMC health services research
metastatic femoral tumors may lead pathological fractures daily activities ctbased finite element analysis patients femurs shown assist orthopedic surgeons making informed decisions risk fracture need prophylactic fixation improving accuracy analyses ruqires automatic accurate segmentation tumors automatic inclusion finite element model present herein deep learning algorithm nnunet automatically segment lytic tumors within femur dataset consisting fifty ct scans patients manually annotated femoral tumors created forty chosen randomly used training nnunet remaining ten ct scans used testing deep learning models performance compared two experienced radiologists proposed algorithm outperformed current stateoftheart solutions achieving dice similarity scores 067 068 test data compared two experienced radiologists dice similarity score interindividual variability radiologists 073 automatic algorithm may segment lytic femoral tumors ct scans accurately experienced radiologists similar dice similarity scores influence realistic tumors inclusion autonomous finite element algorithm presented rachmil et al influence femoral lytic tumors segmentation autonomous finite element analyses clinical biomechanics 112 paper 106192 2024