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Current Medical Imaging

Editor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Case Report

Establishment and Comparison of Piecewise Linear Regression Models to Measure Thyroid Volume by 2D and 3D Ultrasound

Author(s): Yue-Gui Wang, Shu-Ping Yang, Ming-Yong Cai, Ke-Yue Chen, Ting-Ting Li and Hao-Lin Shen*

Volume 20, 2024

Published on: 23 October, 2023

Article ID: e080923220831 Pages: 6

DOI: 10.2174/1573405620666230908111821

open_access

Open Access Journals Promotions 2
Abstract

Objective: Compared thyroid volumes measured by 2-D and 3-D US with those of resected specimens and proposed new models to improve measurement accuracy.

Methods: This study included 80 patients who underwent total thyroidectomy. One 2D_model and one 3D_model were developed using piecewise linear regression analysis. The accuracy of these models was compared using an ellipsoid model (2-D_US value × 0.5), 3-D_US value, and Ying’s model [1.76 + (2-D_US value × 0.38)].

Results: The new 2D_model was: V=2.66 + (0.71 * X1) - (1.51 * X2). In this model, if 2-D_US value <= 228.39, X1 = 2-D_US value and X2 = 0; otherwise, X1 = 2-D_US value and X2 = 2-D_US value - 228.39. The 3D_model was: V= 2.90 + (1.08 * X1) + (2.43 * X2). In this model, if 3- D_US value <= 102.06, X1 = 3-D_US value and X2 = 0; otherwise, X1 = 3-D_US value and X2 = 3-D_US value - 102.06. The accuracy of the new models was higher than that of the 3-D_US value, the ellipsoid model, and Ying’s model (P<0.05).

Conclusion: The models established are more accurate than the traditional ones and can accurately measure thyroid volume.

Keywords: Thyroid volume, Piecewise linear regression model, Ultrasound, Thyroid morphology, Graves’ disease.

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