Improved Productivity Using Deep Learning–assisted Reporting for Lumbar Spine MRI

Autor: Desmond Shi Wei Lim, Andrew Makmur, Lei Zhu, Wenqiao Zhang, Amanda J. L. Cheng, David Soon Yiew Sia, Sterling Ellis Eide, Han Yang Ong, Pooja Jagmohan, Wei Chuan Tan, Vanessa Meihui Khoo, Ying Mei Wong, Yee Liang Thian, Sangeetha Baskar, Ee Chin Teo, Diyaa Abdul Rauf Algazwi, Qai Ven Yap, Yiong Huak Chan, Jiong Hao Tan, Naresh Kumar, Beng Chin Ooi, Hiroshi Yoshioka, Swee Tian Quek, James Thomas Patrick Decourcy Hallinan
Rok vydání: 2022
Předmět:
Zdroj: Radiology. 305:160-166
ISSN: 1527-1315
0033-8419
Popis: Background Lumbar spine MRI studies are widely used for back pain assessment. Interpretation involves grading lumbar spinal stenosis, which is repetitive and time consuming. Deep learning (DL) could provide faster and more consistent interpretation. Purpose To assess the speed and interobserver agreement of radiologists for reporting lumbar spinal stenosis with and without DL assistance. Materials and Methods In this retrospective study, a DL model designed to assist radiologists in the interpretation of spinal canal, lateral recess, and neural foraminal stenoses on lumbar spine MRI scans was used. Randomly selected lumbar spine MRI studies obtained in patients with back pain who were 18 years and older over a 3-year period, from September 2015 to September 2018, were included in an internal test data set. Studies with instrumentation and scoliosis were excluded. Eight radiologists, each with 2-13 years of experience in spine MRI interpretation, reviewed studies with and without DL model assistance with a 1-month washout period. Time to diagnosis (in seconds) and interobserver agreement (using Gwet κ) were assessed for stenosis grading for each radiologist with and without the DL model and compared with test data set labels provided by an external musculoskeletal radiologist (with 32 years of experience) as the reference standard. Results Overall, 444 images in 25 patients (mean age, 51 years ± 20 [SD]; 14 women) were evaluated in a test data set. DL-assisted radiologists had a reduced interpretation time per spine MRI study, from a mean of 124-274 seconds (SD, 25-88 seconds) to 47-71 seconds (SD, 24-29 seconds) (
Databáze: OpenAIRE
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