ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2026
[A nomogram combining ultrasound radiomics and clinical features for predicting pathological invasiveness of papillary thyroid carcinoma].
Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesTo develop a nomogram model combining ultrasound radiomics and clinical features and to evaluate its predictive value for pathological invasiveness of papillary thyroid carcinoma (PTC).
methodsThis study included 224 patients diagnosed with PTC between January 2024 and May 2025 at Zhejiang Provincial People's Hospital. Baseline clinical data, laboratory findings, and raw ultrasound images were collected. The patients were randomly divided into a training cohort (
resultsThe clinical feature model based solely on nodule size achieved AUCs of 0.889 (95%CI: 0.843-0.935) and 0.934 (95%CI: 0.860-0.973) in the training and testing cohorts, respectively. Thirteen ultrasound radiomics features were selected. The radiomics model built with logistic regression yielded AUCs of 0.846 (95%CI: 0.791-0.902) and 0.939 (95%CI: 0.871-1.000) in the training and testing cohorts, respectively. The nomogram combining ultrasound radiomics and clinical features achieved AUCs of 0.902 (95%CI: 0.858-0.945) in the training cohort, 0.982 (95%CI: 0.953-1.000) in the testing cohort, and 0.803 (95%CI: 0.665-0.941) in the independent validation cohort. Calibration curves demonstrated good agreement between predicted and observed probabilities, and clinical decision curves indicated favorable net clinical benefit.
conclusionsA nomogram model combining ultrasound radiomics and clinical features was successfully developed, which exhibited good discrimination, calibration, and clinical utility.
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