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Background: Although shear wave elastography (SWE) is reported to be useful in detecting malignant thyroid nodules, it shows a wide range of cut-off values of elasticity index (EI) in detecting malignant nodules. The cause of discrepancy remains unclear. Fibrosis of the tumors is known to increase the EI in SWE, and matching of SWE and surgical histopathology has not been fully illustrated in thyroid cancer. We aimed to evaluate the reproducibility of the new total nodular region of interest (ROI) method excluding the subjective features of focal circular ROI placement and to determine the lesion that causes the elevation of EI on SWE and on histopathology.
Methods: A total of 29 thyroid cancers from 28 patients were included. We evaluated the reproducibility of EI in the new total nodular ROI using Q-Box Trace program and compared the EI in focal nodular ROI using a 3-mm circular area. We analyzed the correlation between fibrosis and EI.
Result: The coefficient of variation (CV) of the intrarater assay was significantly lower in total nodular ROI than in focal nodular ROI within the image in rater 1 (1.7% vs. 13.4%, p < 0.001) and in rater 2 (1.4% vs. 16.9%, p < 0.001) and in different images in rater 1 (7.6% vs. 12.3%, p = 0.040) and in rater 2 (7.5% vs. 19.8%, p = 0.004). Moreover, CV of the interrater assay showed similar results (14.9% vs. 19%, p = 0.030). Interrater intraclass correlation coefficient showed better agreement in total nodular ROI than in focal nodular ROI (0.863 vs. 0.783). The degree of fibrosis on histopathology showed significant correlations with EI (E, p < 0.001; E, p = 0.027), and the location of fibrosis was concordant with the high EI area on SWE.
Conclusion: Our study revealed that the new total nodular ROI method showed higher reproducibility and better agreement in intra- and interrater assay than the focal nodular ROI method, suggesting a valuable and standardized method in clinical practice. Moreover, our results showed that fibrosis in the histopathology increased EI on SWE and might lead to the discrepancy of the cut-off values in detecting thyroid cancer.
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http://dx.doi.org/10.1186/s12885-019-6437-z | DOI Listing |
Eur J Radiol Open
December 2025
Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong 256603, PR China.
Objective: To develop and validate a machine learning model based on CT radiomics to improve the ability to differentiate pathological subtypes of pulmonary ground-glass nodules (GGN).
Methods: A retrospective analysis was conducted on clinical data and radiological images from 392 patients with lung adenocarcinoma at Binzhou Medical University Hospital between January 1, 2020 to May 31, 2023. All patients underwent preoperative thin-section chest CT scans and surgical resection.
Niger J Clin Pract
August 2025
Department of Nuclear Medicine, Etlik City Hospital, Ankara, Turkey.
Background: This study compared the dimensions of the thyroid gland measured by the scintigraphic method with those measured by the ultrasonographic method. Additionally, the correlation between the technetium uptake level of the thyroid gland and the thyroid-stimulating hormone (TSH) values of the patient was investigated.
Aim: The aim of this study was to measure the uptake values and scintigraphic dimensions of the thyroid gland by using Technetium 99m pertechnetate and to investigate the relationship between these values in euthyroid and hyperthyroid states.
Rev Esp Med Nucl Imagen Mol (Engl Ed)
June 2025
Department of Endocrine and Metabolic Diseases, Gazi State Hospital, Samsun 55090, Turkey.
Background And Objective: Thyrotoxicosis is a common clinical condition in endocrinology, with Graves' disease (GD) and subacute thyroiditis (SAT) as its predominant causes. These disorders often share overlapping clinical and biochemical features, making differential diagnosis challenging. This study evaluates the diagnostic efficacy of the thyroid/background ratio (TBR) as a semiquantitative method for differentiating GD from SAT and compares multiple diagnostic parameters.
View Article and Find Full Text PDFEur J Radiol
February 2024
Institute of Human Physiology, Medical University of Gdansk, Gdansk, Poland. Electronic address:
J Magn Reson Imaging
December 2022
Medical Convergence Research Center, Wonkwang University, Iksan, Republic of Korea.
Background: The assessment of liver surface nodularity (LSN) for staging hepatic fibrosis is restricted in clinical practice because it requires customized software and time-consuming procedures. A simplified method to estimate LSN score may be useful in the clinic.
Purpose: To evaluate the regional analysis of LSN and processing time in a single axial liver MR image for staging liver fibrosis.