Abstract

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 evaluated using receiver operating characteristic curve analysis, calibration curves and decision curve analysis. Compared with CT and SPECT radiomics models, Rad-scoreSPECT/CT demonstrated the best performance with areas under the receiver operating characteristic curve of 0.94 and 0.91 in the training and test sets, respectively. The combined clinical-radiomics model exhibited significantly better performance in evaluating TAO activity. Our results demonstrate the validity of a multimodal radiomic model of 99mTc-DTPA-SPECT/CT to assess TAO activity. The combined clinical-radiomics model exhibited significantly better diagnostic performance than the clinical model.

Details

Title
Diagnostic precision in thyroid-associated ophthalmopathy using multi-center radiomics with 99mTc-DTPA SPECT/CT
Author
Liu, Yu 1 ; Li, Mengting 2 ; Chen, Hong 3 ; Liu, Wei 3 ; Hu, Mengmeng 2 ; Hu, Fan 2 ; Ma, Ling 4 ; Hu, Shengqing 2 ; Zhao, Min 5 ; Cao, Wei 2 ; Xia, Xiaotian 2 

 Huazhong University of Science and Technology, Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Wuhan, People’s Republic of China (GRID:grid.33199.31) (ISNI:0000 0004 0368 7223); Affiliated Renhe Hospital of China Three Gorges University, Department of Radiology, Yichang, People’s Republic of China (GRID:grid.254148.e) (ISNI:0000 0001 0033 6389) 
 Huazhong University of Science and Technology, Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Wuhan, People’s Republic of China (GRID:grid.33199.31) (ISNI:0000 0004 0368 7223); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, People’s Republic of China (GRID:grid.412839.5) (ISNI:0000 0004 1771 3250); the Ministry of Education, Key Laboratory of Biological Targeted Therapy, Wuhan, People’s Republic of China (GRID:grid.419897.a) (ISNI:0000 0004 0369 313X) 
 Huazhong University of Science and Technology, Department of Ophthalmology, Union Hospital, Tongji Medical College, Wuhan, People’s Republic of China (GRID:grid.33199.31) (ISNI:0000 0004 0368 7223) 
 West China Hospital, Regenerative Medicine Research Center, Chengdu, People’s Republic of China (GRID:grid.412901.f) (ISNI:0000 0004 1770 1022) 
 Central South University, Department of Nuclear Medicine, The Third Xiangya Hospital, Changsha, People’s Republic of China (GRID:grid.216417.7) (ISNI:0000 0001 0379 7164) 
Pages
25810
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3121470141
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.