A scalable physician-level deep learning algorithm detects universal trauma on pelvic radiographs
Open Access
- 16 February 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Nature Communications
- Vol. 12 (1), 1-10
- https://doi.org/10.1038/s41467-021-21311-3
Abstract
Pelvic radiograph (PXR) is essential for detecting proximal femur and pelvis injuries in trauma patients, which is also the key component for trauma survey. None of the currently available algorithms can accurately detect all kinds of trauma-related radiographic findings on PXRs. Here, we show a universal algorithm can detect most types of trauma-related radiographic findings on PXRs. We develop a multiscale deep learning algorithm called PelviXNet trained with 5204 PXRs with weakly supervised point annotation. PelviXNet yields an area under the receiver operating characteristic curve (AUROC) of 0.973 (95% CI, 0.960–0.983) and an area under the precision-recall curve (AUPRC) of 0.963 (95% CI, 0.948–0.974) in the clinical population test set of 1888 PXRs. The accuracy, sensitivity, and specificity at the cutoff value are 0.924 (95% CI, 0.912–0.936), 0.908 (95% CI, 0.885–0.908), and 0.932 (95% CI, 0.919–0.946), respectively. PelviXNet demonstrates comparable performance with radiologists and orthopedics in detecting pelvic and hip fractures.Keywords
Funding Information
- Chang Gung Memorial Hospital, Linkou (CMRPG3J631, CIRPG3H0021)
This publication has 47 references indexed in Scilit:
- Artificial Intelligence in Medical Practice: The Question to the Answer?The American Journal of Medicine, 2018
- Surgery for a fracture of the hip within 24 hours of admission is independently associated with reduced short-term post-operative complicationsThe Bone & Joint Journal, 2017
- Densely Connected Convolutional NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax DiseasesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Spatiotemporal Pyramid Network for Video Action RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Pelvic trauma mortality reduced by integrated trauma careEmergency Medicine Australasia, 2017
- Preperitoneal pelvic packing reduces mortality in patients with life-threatening hemorrhage due to unstable pelvic fracturesThe Journal of Trauma and Acute Care Surgery, 2017
- Missed Injuries in Polytrauma Patients after Trauma Tertiary Survey in Trauma Intensive Care UnitScandinavian Journal of Surgery, 2016
- You Only Look Once: Unified, Real-Time Object DetectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Errors in fracture diagnoses in the emergency department – characteristics of patients and diurnal variationBMC Emergency Medicine, 2006