Literature DB >> 31559190

Ultrasound imaging classifications of thyroid nodules for malignancy risk stratification and clinical management: state of the art.

Chiara Floridi1, Michaela Cellina2, Giorgio Buccimazza3, Antonio Arrichiello3, Andrea Sacrini1, Francesco Arrigoni4, Giovanni Pompili1, Antonio Barile4, Gianpaolo Carrafiello3.   

Abstract

Assessing the risk of malignancy in the thyroid with ultrasound (US) is crucial in patients with nodules, as it can aid in selecting those who should have a fine-needle aspiration (FNA) biopsy performed. Many studies have examined whether the US characteristics of thyroid nodules are useful indicators of histological malignancy. Overall, these investigations have identified a few US features that are significantly more frequent in malignant thyroid nodules which can be coalesced into a defining set to be used as an indicator of a higher risk of malignancy. Despite these efforts, none of these classifications have been widely adopted worldwide, and there are still conflicting recommendations from different institutions. Understanding the role and appropriate utilization of these systems could facilitate the effective interpretation and communication of thyroid US findings among referring physicians and radiologists. In this comprehensive review, we outline the major US classification systems of thyroid nodules published in the last few years.

Entities:  

Keywords:  Ultrasound (US); classification; malignancy; thyroid nodule

Year:  2019        PMID: 31559190      PMCID: PMC6755949          DOI: 10.21037/gs.2019.07.01

Source DB:  PubMed          Journal:  Gland Surg        ISSN: 2227-684X


  7 in total

1.  Immune response pathways enriched in breast cancer samples with brain metastasis.

Authors:  Peng Wang; Zengfeng Sun; Zhen Zhang; Qiang Yin
Journal:  Gland Surg       Date:  2021-12

2.  Contrast-Enhanced Ultrasonography for Differential Diagnosis of Benign and Malignant Thyroid Lesions: Single-Institutional Prospective Study of Qualitative and Quantitative CEUS Characteristics.

Authors:  Hana Petrasova; Radka Slaisova; Tomas Rohan; Karel Stary; Jitka Kyclova; Tomas Pavlik; Petra Kovalcikova; Tomas Kazda; Vlastimil Valek
Journal:  Contrast Media Mol Imaging       Date:  2022-04-23       Impact factor: 3.009

3.  Diagnostic performance evaluation of different TI-RADS using ultrasound computer-aided diagnosis of thyroid nodules: An experience with adjusted settings.

Authors:  Nonhlanhla Chambara; Shirley Y W Liu; Xina Lo; Michael Ying
Journal:  PLoS One       Date:  2021-01-15       Impact factor: 3.240

4.  Combining real-time elastography with fine-needle aspiration biopsy to identify malignant thyroid nodules.

Authors:  Lei Zhu; Yanyan Chen; Huijun Ai; Wei Gong; Bin Zhou; Yonghong Xu; Shuzheng Chen; Feng Cheng
Journal:  J Int Med Res       Date:  2020-12       Impact factor: 1.671

5.  The Role of Metabolic Volumetric Parameters in Predicting Malignancy in Incidental Thyroid Nodules Detected in 18F-FDG PET/CT Scans

Authors:  Mehmet Erdoğan; Hakan Korkmaz; Bora Torus; Mustafa Avcı; Şerife Mehtap Boylubay; Metin Çiriş; Mustafa Yıldız; Sevim Süreyya Şengül
Journal:  Mol Imaging Radionucl Ther       Date:  2021-06-03

6.  A rare case of unilateral vocal cord paralysis: neurovascular conflict due to an aberrant bronchial artery detected at computed tomography.

Authors:  Maurizio Cè; Francesco Bombaci; Silvana Sdao; Sara Marziali; Giovanni Irmici; Sara Boemi; Marco Cervelli; Michaela Cellina
Journal:  Radiol Case Rep       Date:  2022-04-10

7.  Diagnostic Value of AngioPLUS Microvascular Imaging in Thyroid Nodule Diagnosis Using Quantitative and Qualitative Vascularity Grading.

Authors:  Nonhlanhla Chambara; Shirley Yuk Wah Liu; Xina Lo; Michael Ying
Journal:  Biomedicines       Date:  2022-06-29
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.