Torg-Pavlov ratio qualification to diagnose developmental cervical spinal stenosis based on HRViT neural network

We have explored a deep-learning algorithm for automated measurement of the TPR on cervical lateral radiographs to diagnose DCSS, which had outstanding performance comparable to clinical senior doctors.

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Publication Details

Journal
BMC Musculoskeletal Disorders
Published
2025-04-23
DOI
https://doi.org/10.1186/s12891-025-08667-z
Citations
2
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
1.35
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article

Torg-Pavlov ratio qualification to diagnose developmental cervical spinal stenosis based on HRViT neural network

Wei‐Wen Wu, Jie Liang, Yao Wu, Weifei Wu et al.
2 citations
BMC Musculoskeletal Disorders
Medical Imaging and Analysis
1.35
article

Torg-Pavlov ratio qualification to diagnose developmental cervical spinal stenosis based on HRViT neural network

Wei‐Wen Wu, Jie Liang, Yao Wu, Weifei Wu, Zhen-Xi Zhang
article en
2 citations

Abstract

We have explored a deep-learning algorithm for automated measurement of the TPR on cervical lateral radiographs to diagnose DCSS, which had outstanding performance comparable to clinical senior doctors.

BMC Musculoskeletal DisordersVol. 26(1)
Sun Yat-sen University (CN), China Three Gorges University (CN), Yichang Central People's Hospital (CN)
Openalex Percentile: Top 21%
Medical Imaging and Analysis
1.35
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