Objective: The present study aimed to evaluate the efficacy of a new two-dimensional shear wave elastography (2D-SWE) method using a Siemens ultrasound system and its combination with the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) for the differential diagnosis of benign and malignant thyroid nodules.

Methods: Conventional ultrasound images and 2D-SWE (E-whole-mean and E-stiffest-mean) were prospectively analyzed in 593 thyroid nodules from 543 patients. Nodules were divided into diameter (D) ≤10 mm and D > 10 mm groups and graded using ACR TI-RADS. The receiver operating characteristic curve was plotted using pathological findings as the gold standard. Diagnostic performance was compared among 2D-SWE, ACR TI-RADS, and their combination.

Results: The area under the curve (AUC) for E-whole-mean was higher than that for E-stiffest-mean (0.858 vs. 0.790, P < 0.001), which indicated that it was the better 2D-SWE parameter for differentiating malignant nodules from benign nodules with an optimal cut-off point of 11.36 kPa. In the all-sizes group, the AUC for E-whole-mean was higher than that for ACR TI-RADS (0.858 vs. 0.808, P < 0.001). The combination of E-whole-mean and ACR TI-RADS resulted in a higher AUC (0.929 vs. 0.858 vs. 0.808, P < 0.001), sensitivity (87.0% vs. 80.3% vs. 85.2%), specificity (85.1% vs. 74.0% vs. 73.6%), accuracy (86.3% vs. 78.1% vs. 81.1%), positive predictive value (91.5% vs. 85.1% vs. 85.6%), and negative predictive value (78.0% vs. 67.0% vs. 72.9%) compared to E-whole-mean or ACR TI-RADS alone. The AUC for the combination of 2D-SWE and ACR TI-RADS was superior to that for E-whole-mean or ACR TI-RADS alone in both D ≤ 10 mm and D > 10 mm groups (P < 0.001).

Conclusion: As the better 2D-SWE parameter, E-whole-mean had a higher diagnostic power than ACR TI-RADS and enhanced the diagnostic performance of ACR TI-RADS when identifying benign and malignant thyroid nodules. The combination of E-whole-mean and ACR TI-RADS improved the diagnostic performance compared to using ACR TI-RADS alone, providing a new and reliable method for the clinical diagnosis of thyroid nodules.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543209PMC
http://dx.doi.org/10.1016/j.heliyon.2023.e20472DOI Listing

Publication Analysis

Top Keywords

acr ti-rads
16
diagnostic performance
8
two-dimensional shear
8
shear wave
8
wave elastography
8
siemens ultrasound
8
ultrasound system
8
benign malignant
8
malignant thyroid
8
thyroid nodules
8

Similar Publications

Purpose: Although thyroid nodules are less common in the pediatric population, the risk of malignancy is higher than in adult patients. The aim of this study was to evaluate the ultrasonographic predictive factors of malignancy in thyroid nodules and to validate American College of Radiologists (ACR) TI-RADS performance in transition age patients.

Methods: One hundred forty-two patients aged between 14 and 21 years referred to the participating centers for FNA biopsy of a thyroid nodule between 2007 and 2022 were included and ultrasound reports and sonographic images were retrospectively analyzed.

View Article and Find Full Text PDF

Objective: To construct and validate a new thyroid imaging reporting and data system (TI-RADS) based on radiating blood flow and grayscale US features.

Materials And Methods: This study enrolled patients from 4 hospitals from January 2018 to November 2023 retrospectively and prospectively. All US features associated with malignant thyroid nodules were assessed by multivariable logistic regression to construct baseline US TI-RADS (BUS TI-RADS), which was tested with internal validation set, external validation set and prospective validation set.

View Article and Find Full Text PDF
Article Synopsis
  • - The case centers on a 67-year-old woman with both papillary and follicular thyroid carcinomas, initially diagnosed with thyrotoxicosis from Graves' disease, presenting with severe metastasis and invasive tumor growth.
  • - Investigation revealed multiple metastases, including intra-cardiac tumor thrombus and bone fractures, leading to a diagnosis of synchronous thyroid cancer types, yet the patient chose palliative care over aggressive treatment options.
  • - The case highlights the challenges in accurately diagnosing synchronous thyroid malignancies and the limitations of the ACR TI-RADS system in detecting certain ultrasonographic features that indicate cancer, especially in patients with Graves' disease.
View Article and Find Full Text PDF

Purpose: To compare the diagnostic performance of six different currently available guidelines including the American College of Radiology Thyroid Imaging and Reporting Data System (ACR-TIRADS), Kwak-TIRADS, Korean TIRADS (K-TIRADS), European TIRADS (EU-TIRADS), American Thyroid Association (ATA) and Chinese TIRADS (C-TIRADS), in differentiating malignant from benign thyroid nodules (TN).

Materials And Methods: In this single-center study, between January-2007 and September-2023, ultrasound (US) images of TNs that were pathologically proven either by surgery or by fine needle aspiration biopsy (FNAB), were retrospectively evaluated and categorized according to six different currently available guidelines. Area under curve (AUC), sensitivity, specificity, positive and negative predictive values (PPV and NPV, respectively) and miss rates for malignancy (MRM) were calculated for each guideline.

View Article and Find Full Text PDF

Objective: The ACR Thyroid Imaging, Reporting, and Data System (TI-RADS) uses a score based on ultrasound (US) imaging to stratify the risk of nodule malignancy and recommend appropriate follow-up. This study aims to analyze US reports and explore how Natural Language Processing (NLP) leveraging Transformers models can classify ACR TI-RADS from text reports using the description of thyroid nodule features.

Materials And Methods: This retrospective study evaluated 16,847 thyroid-free text reports from our institution.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!