biostudies-literatureLiu YHubei Provincial Natural Science Foundation ProjectChina Health Promotion FoundationHubei Key Laboratory of Molecular ImagingBeijing Health Promotion Foundation25810https://www.ebi.ac.uk/biostudies/studies/S-EPMC11519562biostudies-literatureUnknown14(1)To explore the performance of ^99mTc-diethylene triaminepentaacetic acid (DTPA) SPECT/CT texture analysis in evaluating the activity of thyroid-associated ophthalmopathy (TAO) . This retrospective study examined 115 TAO patients from a single institution as an internal cohort and 58 TAO patients from another institution as an external validation set. Patients in the internal cohort were randomly divided into training (n = 81) and internal validation sets (n = 34). Radiomics signatures were constructed with the minimal redundancy maximal relevance and least absolute shrinkage and selection operator algorithms in training set. Multivariate logistic regression analysis was used to develop a clinical model and a combined clinical-radiomics model. Diagnostic performance of models was Scientific reportsDiagnostic precision in thyroid-associated ophthalmopathy using multi-center radiomics with <sup>99m</sup>Tc-DTPA SPECT/CT.PMC115195622024AFB6332020FZYX016BJHPA-2022-JZHXZHQNYJ-LCH-032020 Thyroid Research Program of Young and Middle-aged PhysiciansLiu YHu FXia XHu SZhao MMa LCao WHu MChen HLi MLiu WfalseDiagnostic precision in thyroid-associated ophthalmopathy using multi-center radiomics with <sup>99m</sup>Tc-DTPA SPECT/CT.To explore the performance of ^99mTc-diethylene triaminepentaacetic acid (DTPA) SPECT/CT texture analysis in evaluating the activity of thyroid-associated ophthalmopathy (TAO) . This retrospective study examined 115 TAO patients from a single institution as an internal cohort and 58 TAO patients from another institution as an external validation set. Patients in the internal cohort were randomly divided into training (n = 81) and internal validation sets (n = 34). Radiomics signatures were constructed with the minimal redundancy maximal relevance and least absolute shrinkage and selection operator algorithms in training set. Multivariate logistic regression analysis was used to develop a clinical model and a combined clinical-radiomics model. Diagnostic performance of models was 2024-01-01T00:00:00Z2024 Oct2025-04-04T03:01:02.063Z2025-04-04T03:01:02.063ZS-EPMC115195623946814010.1038/s41598-024-76018-4