Combined clinical variable and radiomics of post-treatment total body scan for prediction of successful I-131 ablation in low-risk papillary thyroid carcinoma patients

被引:1
作者
Chantadisai, Maythinee [1 ,2 ]
Wongwijitsook, Jirarot [2 ,3 ]
Ritlumlert, Napat [4 ,5 ,6 ]
Rakvongthai, Yothin [1 ,4 ]
机构
[1] Chulalongkorn Univ, Fac Med, Dept Radiol, Div Nucl Med, Bangkok, Thailand
[2] King Chulalongkorn Mem Hosp, Dept Radiol, Div Nucl Med, Thai Red Cross Soc, Bangkok, Thailand
[3] Surin Hosp, Dept Radiol, Div Nucl Med, Surin, Thailand
[4] Chulalongkorn Univ, Biomed Imaging Grp, Fac Med, Dept Radiol, Bangkok, Thailand
[5] Chulalongkorn Univ, Fac Engn, Biomed Engn Program, Bangkok, Thailand
[6] Chulabhorn Royal Acad, Fac Hlth Sci Technol, Sch Radiol Technol, Bangkok, Thailand
关键词
Radiomics; Artificial intelligence; Thyroid cancer; Total body scan; Successful ablation; LYMPH-NODE METASTASIS; PREOPERATIVE PREDICTION; CANCER; RADIOIODINE; SCINTIGRAPHY; NODULES;
D O I
10.1038/s41598-024-55755-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
To explore the feasibility of combined radiomics of post-treatment I-131 total body scan (TBS) and clinical parameter to predict successful ablation in low-risk papillary thyroid carcinoma (PTC) patients. Data of low-risk PTC patients who underwent total/near total thyroidectomy and I-131 ablation 30 mCi between April 2015 and July 2021 were retrospectively reviewed. The clinical factors studied included age, sex, and pre-ablative serum thyroglobulin (Tg). Radiomic features were extracted via PyRadiomics, and radiomic feature selection was performed. The predictive performance for successful ablation of the clinical parameter, radiomic, and combined models (radiomics combined with clinical parameter) was calculated using the area under the receiver operating characteristic curve (AUC). One hundred and thirty patients were included. Successful ablation was achieved in 77 patients (59.2%). The mean pre-ablative Tg in the unsuccessful group (15.50 +/- 18.04 ng/ml) was statistically significantly higher than those in the successful ablation group (7.12 +/- 7.15 ng/ml). The clinical parameter, radiomic, and combined models produced AUCs of 0.66, 0.77, and 0.87 in the training sets, and 0.65, 0.69, and 0.78 in the validation sets, respectively. The combined model produced a significantly higher AUC than that of the clinical parameter (p < 0.05). Radiomic analysis of the post-treatment TBS combined with pre-ablative serum Tg showed a significant improvement in the predictive performance of successful ablation in low-risk PTC patients compared to the use of clinical parameter alone. Thai Clinical Trials Registry TCTR identification number is TCTR20230816004 (https://www.thaiclinicaltrials.org/show/TCTR20230816004).
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页数:8
相关论文
共 48 条
[1]   Predicting BRAFV600E mutations in papillary thyroid carcinoma using six machine learning algorithms based on ultrasound elastography [J].
Agyekum, Enock Adjei ;
Wang, Yu-guo ;
Xu, Fei-Ju ;
Akortia, Debora ;
Ren, Yong-zhen ;
Chambers, Kevoyne Hakeem ;
Wang, Xian ;
Taupa, Jenny Olalia ;
Qian, Xiao-qin .
SCIENTIFIC REPORTS, 2023, 13 (01)
[2]   [18F]-FDG PET and MRI radiomic signatures to predict the risk and the location of tumor recurrence after re-irradiation in head and neck cancer [J].
Beddok, Arnaud ;
Orlhac, Fanny ;
Calugaru, Valentin ;
Champion, Laurence ;
Eddine, Catherine Ala ;
Nioche, Christophe ;
Crehange, Gilles ;
Buvat, Irene .
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 50 (02) :559-571
[3]  
Board CNE, Thyroid Cancer: Statistics
[4]   Radiomics Analysis of [18F]-Fluorodeoxyglucose-Avid Thyroid Incidentalomas Improves Risk Stratification and Selection for Clinical Assessment [J].
Ceriani, Luca ;
Milan, Lisa ;
Virili, Camilla ;
Cascione, Luciano ;
Paone, Gaetano ;
Trimboli, Pierpaolo ;
Giovanella, Luca .
THYROID, 2021, 31 (01) :88-95
[5]   Predictive value of 18F-FDG PET/CT-based radiomics model for neoadjuvant chemotherapy efficacy in breast cancer: a multi-scanner/center study with external validation [J].
Chen, Kun ;
Wang, Jian ;
Li, Shuai ;
Zhou, Wen ;
Xu, Wengui .
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 50 (07) :1869-1880
[6]   Quantitative classification and radiomics of [18F]FDG-PET/CT in indeterminate thyroid nodules [J].
de Koster, Elizabeth J. ;
Noortman, Wyanne A. ;
Mostert, Jacob M. ;
Booij, Jan ;
Brouwer, Catherine B. ;
de Keizer, Bart ;
de Klerk, John M. H. ;
Oyen, Wim J. G. ;
van Velden, Floris H. P. ;
De Geus-Oei, Lioe-Fee ;
Vriens, Dennis .
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 49 (07) :2174-2188
[7]   The role of [18F]-DCFPyL PET/MRI radiomics for pathological grade group prediction in prostate cancer [J].
Dias, Adriano Basso ;
Mirshahvalad, Seyed Ali ;
Ortega, Claudia ;
Perlis, Nathan ;
Berlin, Alejandro ;
van der Kwast, Theodorus ;
Ghai, Sangeet ;
Jhaveri, Kartik ;
Metser, Ur ;
Haider, Masoom ;
Avery, Lisa ;
Veit-Haibach, Patrick .
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 50 (07) :2167-2176
[8]   3D Slicer as an image computing platform for the Quantitative Imaging Network [J].
Fedorov, Andriy ;
Beichel, Reinhard ;
Kalpathy-Cramer, Jayashree ;
Finet, Julien ;
Fillion-Robin, Jean-Christophe ;
Pujol, Sonia ;
Bauer, Christian ;
Jennings, Dominique ;
Fennessy, Fiona ;
Sonka, Milan ;
Buatti, John ;
Aylward, Stephen ;
Miller, James V. ;
Pieper, Steve ;
Kikinis, Ron .
MAGNETIC RESONANCE IMAGING, 2012, 30 (09) :1323-1341
[9]   PET/CT-based radiomics of mass-forming intrahepatic cholangiocarcinoma improves prediction of pathology data and survival [J].
Fiz, Francesco ;
Masci, Chiara ;
Costa, Guido ;
Sollini, Martina ;
Chiti, Arturo ;
Ieva, Francesca ;
Torzilli, Guido ;
Vigano, Luca .
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 49 (10) :3387-3400
[10]   Role of [68Ga]Ga-PSMA-11 PET radiomics to predict post-surgical ISUP grade in primary prostate cancer [J].
Ghezzo, Samuele ;
Mapelli, Paola ;
Bezzi, Carolina ;
Samanes Gajate, Ana Maria ;
Brembilla, Giorgio ;
Gotuzzo, Irene ;
Russo, Tommaso ;
Preza, Erik ;
Cucchiara, Vito ;
Ahmed, Naghia ;
Neri, Ilaria ;
Mongardi, Sofia ;
Freschi, Massimo ;
Briganti, Alberto ;
De Cobelli, Francesco ;
Gianolli, Luigi ;
Scifo, Paola ;
Picchio, Maria .
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 50 (08) :2548-2560