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).
引用
收藏
页数:8
相关论文
共 48 条
[31]   Radiomics predicts risk of cachexia in advanced NSCLC patients treated with immune checkpoint inhibitors [J].
Mu, Wei ;
Katsoulakis, Evangelia ;
Whelan, Christopher J. ;
Gage, Kenneth L. ;
Schabath, Matthew B. ;
Gillies, Robert J. .
BRITISH JOURNAL OF CANCER, 2021, 125 (02) :229-239
[32]  
Nicholson C., on Artificial Intelligence and Machine Learning
[33]  
Park T, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-10807-7
[34]   Radiomics signature for prediction of lateral lymph node metastasis in conventional papillary thyroid carcinoma [J].
Park, Vivian Y. ;
Han, Kyunghwa ;
Kim, Hye Jung ;
Lee, Eunjung ;
Youk, Ji Hyun ;
Kim, Eun-Kyung ;
Moon, Hee Jung ;
Yoon, Jung Hyun ;
Kwak, Jin Young .
PLOS ONE, 2020, 15 (01)
[35]   Association Between Radiomics Signature and Disease-Free Survival in Conventional Papillary Thyroid Carcinoma [J].
Park, Vivian Y. ;
Han, Kyunghwa ;
Lee, Eunjung ;
Kim, Eun-Kyung ;
Moon, Hee Jung ;
Yoon, Jung Hyun ;
Kwak, Jin Young .
SCIENTIFIC REPORTS, 2019, 9 (1)
[36]  
Pedregosa F, 2011, J MACH LEARN RES, V12, P2825
[37]   Impact factors for the outcome of the first 131I radiotherapy in patients with papillary thyroid carcinoma after total thyroidectomy [J].
Shangguan, Linjue ;
Fang, Shengwei ;
Zhang, Peipei ;
Han, Suyang ;
Shen, Xiaodong ;
Geng, Yawen ;
Luo, Dingcun ;
Zhao, Chunlei .
ANNALS OF NUCLEAR MEDICINE, 2019, 33 (03) :177-183
[38]   The added value of PSMA PET/MR radiomics for prostate cancer staging [J].
Solari, Esteban Lucas ;
Gafita, Andrei ;
Schachoff, Sylvia ;
Bogdanovi, Borjana ;
Asiares, Alberto Villagran ;
Amiel, Thomas ;
Hui, Wang ;
Rauscher, Isabel ;
Visvikis, Dimitris ;
Maurer, Tobias ;
Schwamborn, Kristina ;
Mustafa, Mona ;
Weber, Wolfgang ;
Navab, Nassir ;
Eiber, Matthias ;
Hatt, Mathieu ;
Nekolla, Stephan G. .
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 49 (02) :527-538
[39]   Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy [J].
Spohn, Simon K. B. ;
Schmidt-Hegemann, Nina-Sophie ;
Ruf, Juri ;
Mix, Michael ;
Benndorf, Matthias ;
Bamberg, Fabian ;
Makowski, Marcus R. R. ;
Kirste, Simon ;
Ruehle, Alexander ;
Nouvel, Jerome ;
Sprave, Tanja ;
Vogel, Marco M. E. ;
Galitsnaya, Polina ;
Gschwend, Juergen E. ;
Gratzke, Christian ;
Stief, Christian ;
Loeck, Steffen ;
Zwanenburg, Alex ;
Trapp, Christian ;
Bernhardt, Denise ;
Nekolla, Stephan G. G. ;
Li, Minglun ;
Belka, Claus ;
Combs, Stephanie E. E. ;
Eiber, Matthias ;
Unterrainer, Lena ;
Unterrainer, Marcus ;
Bartenstein, Peter ;
Grosu, Anca-L. ;
Zamboglou, Constantinos ;
Peeken, Jan C. .
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 50 (08) :2537-2547
[40]   Epidemiology of head and neck cancer in Thailand [J].
Tangjaturonrasme, Napadon ;
Vatanasapt, Patravoot ;
Bychkov, Andrey .
ASIA-PACIFIC JOURNAL OF CLINICAL ONCOLOGY, 2018, 14 (01) :16-22