A5088810123- Bone and Joint Diseases
- Spondyloarthritis Studies and Treatments
- Spine and Intervertebral Disc Pathology
- Rheumatoid Arthritis Research and Therapies
- AI in cancer detection
- Handwritten Text Recognition Techniques
- Pulmonary Hypertension Research and Treatments
- COVID-19 diagnosis using AI
- Musculoskeletal synovial abnormalities and treatments
Wenzhou Medical University
2015-2024
First Affiliated Hospital of Wenzhou Medical University
2015-2024
Xiangya Hospital Central South University
2015
Central South University
2015
Abstract Objectives To compare the performance of conventional radiography, ldCT, and MRI in diagnosis sacroiliitis suspected axial spondyloarthritis (axSpA). Methods Patients presenting with > 3 months chronic back pain were assessed by axSpA-experienced rheumatologists diagnosed as axSpA or not; patients then considered nr-axSpA AS using plain radiography. Non-axSpA recruited controls, divided into non-inflammatory inflammatory groups on basis and/or CRP/ESR elevation. Clinical...
Abstract Objectives Construct and validate a nomogram model integrating the radiomics features clinical risk factors to differentiating axial spondyloarthritis (axSpA) in low back pain patients undergone sacroiliac joint (SIJ)-MRI. Methods A total of 638 confirmed as axSpA (n = 424) or non-axSpA 214) who were randomly divided into training 447) validation cohorts 191). Optimal signatures constructed from 3.0 T SIJ-MRI using maximum relevance–minimum redundancy (mRMR) least absolute shrinkage...
ABSTRACT Objectives The aim of this study is to develop and validate a model for predicting axial spondyloarthritis (axSpA) based on sacroiliac joint (SIJ)‐MRI imaging findings clinical risk factors. Methods implemented the data 942 patients which contains 707 with axSpA 235 non‐axSpA. To begin with, were split into training ( n = 753) validation 189) cohorts. Secondly, multiple assessors manually extract features active inflammation (bone marrow edema) structural lesions (erosions,...