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Updated: Jan 19, 2026
Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
Published on: February 9, 2024
Nomogram for the diagnosis of suspected papillary thyroid carcinomas based on sonographic patterns: a retrospective
Li Liang1, Jinhui Xie1, Shulan Li1
1Department of Ultrasound, Gansu Provincial Hospital, Lanzhou 730000, China.
Background:
High resolution ultrasonography (US) is the first choice for diagnosis of thyroid cancer and is based on many sonographic features: composition, echogenicity, margins, calcifications, shape and vascularity. Here, we tried to develop a nomogram to evaluate papillary thyroid carcinoma (PTC) based on sonographic features.
Methods:
From Aug 2016 to Dec 2017, a primary cohort of 382 patients with suspicious thyroid nodules and accepted US examinations were included in Gansu Provincial Hospital. Sonographic features were used to develop a nomogram with Cox regression analysis. The nomogram was validated using prospective data from 162 patients as the validation group.
Results:
The primary and validation cohort showed comparable clinical and US features in all aspects. Univariate and multivariate analyses showed solid composition [odds ratio (OR): 3.785; 95% confidence interval (CI): 1.504-9.528, P=0.005], hypoechoic (OR: 15.840; 95% CI: 5.754-43.602, P<0.001) and irregular margins (OR: 15.953; 95% CI: 5.897-43.160, P<0.001), microcalcifications (OR: 21.730; 95% CI: 7.119-66.329, P<0.001), taller than wide shape (OR: 5.153; 95% CI: 1.997-13.311, P=0.001), internal high vascularization (OR: 6.288; 95% CI: 2.175-18.181, P=0.001), and obscure borders (OR: 5.648; 95% CI: 2.118-15.065, P=0.001) as risk factors for PTC. Based on the seven risk factors, nomogram was developed and validated by a prospective group, and discrimination and calibration were measured using the concordance index (C-index).
Conclusions:
Our novel nomogram risk score model based on the US features accurately predicted PTC nodule diagnosis.
