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Using preoperative ultrasound vascularity characteristics to estimate medullary thyroid cancer
BACKGROUND: The early diagnosis of medullary thyroid carcinoma (MTC) is still a challenge in clinical practice. Based on ultrasound features, many MTC cases without suspicious characteristics are not categorized as high risk for malignancy. This study was designed to comprehensively investigate the...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280910/ https://www.ncbi.nlm.nih.gov/pubmed/37340452 http://dx.doi.org/10.1186/s40644-023-00583-6 |
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author | Gao, Luying Ma, Liyuan Li, Xiaoyi Liu, Chunhao Li, Naishi Lian, Xiaolan Xia, Weibo Liu, Ruifeng Shi, Xinlong Ji, Jiang Pan, Aonan Xia, Yu Jiang, Yuxin |
author_facet | Gao, Luying Ma, Liyuan Li, Xiaoyi Liu, Chunhao Li, Naishi Lian, Xiaolan Xia, Weibo Liu, Ruifeng Shi, Xinlong Ji, Jiang Pan, Aonan Xia, Yu Jiang, Yuxin |
author_sort | Gao, Luying |
collection | PubMed |
description | BACKGROUND: The early diagnosis of medullary thyroid carcinoma (MTC) is still a challenge in clinical practice. Based on ultrasound features, many MTC cases without suspicious characteristics are not categorized as high risk for malignancy. This study was designed to comprehensively investigate the ultrasonic features of MTC on ultrasound and help identify thyroid nodules with a high risk of MTC. METHODS: Between 2017 and 2023, we retrospectively reviewed 116 consecutive thyroid nodules with a histologic diagnosis of MTC who had undergone preoperative ultrasound examination. According to the ultrasonic criteria for risk classification, nodules were classified as “ultrasound-high suspicious” (h-MTC) and “ultrasound-low suspicious” (l-MTC). Using the same database, a tumour size- and risk evaluation-matched control group comprising 62 lesions was randomly selected to compare the vascularity features of l-MTC disease. RESULTS: We identified 85 h-MTC nodules (73.3%) and 31 l-MTC nodules (26.7%). For patients with l-MTC disease, 22/31 (71.0%) of the lesions were followed up for a period before fine needle aspiration (FNA) or surgery. We observed more penetrating branching vascularity in the l-MTC group than in the benign nodule group (23/31, 74.2% vs. 5/59, 4.8%, P < 0.001). We also showed that more CHAMMAS IV patterns (central blood flow greater than perinodular flow) (87.1% vs. 32.3%, P < 0.001)) and CHEN IV patterns (penetrating vascularity) (100% vs. 25.8%, P < 0.001) were found in l-MTC than benign nodules. CONCLUSIONS: Vascularity features can help differentiate l-MTC from benign nodules; moreover, we report a novel sonographic vascularity pattern of l-MTC disease, penetrating branching vascularity. The utilization of vascularity features will help to identify MTC among nodules with low-intermediate suspicion by ultrasound risk classification to ensure appropriate clinical management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-023-00583-6. |
format | Online Article Text |
id | pubmed-10280910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102809102023-06-21 Using preoperative ultrasound vascularity characteristics to estimate medullary thyroid cancer Gao, Luying Ma, Liyuan Li, Xiaoyi Liu, Chunhao Li, Naishi Lian, Xiaolan Xia, Weibo Liu, Ruifeng Shi, Xinlong Ji, Jiang Pan, Aonan Xia, Yu Jiang, Yuxin Cancer Imaging Research Article BACKGROUND: The early diagnosis of medullary thyroid carcinoma (MTC) is still a challenge in clinical practice. Based on ultrasound features, many MTC cases without suspicious characteristics are not categorized as high risk for malignancy. This study was designed to comprehensively investigate the ultrasonic features of MTC on ultrasound and help identify thyroid nodules with a high risk of MTC. METHODS: Between 2017 and 2023, we retrospectively reviewed 116 consecutive thyroid nodules with a histologic diagnosis of MTC who had undergone preoperative ultrasound examination. According to the ultrasonic criteria for risk classification, nodules were classified as “ultrasound-high suspicious” (h-MTC) and “ultrasound-low suspicious” (l-MTC). Using the same database, a tumour size- and risk evaluation-matched control group comprising 62 lesions was randomly selected to compare the vascularity features of l-MTC disease. RESULTS: We identified 85 h-MTC nodules (73.3%) and 31 l-MTC nodules (26.7%). For patients with l-MTC disease, 22/31 (71.0%) of the lesions were followed up for a period before fine needle aspiration (FNA) or surgery. We observed more penetrating branching vascularity in the l-MTC group than in the benign nodule group (23/31, 74.2% vs. 5/59, 4.8%, P < 0.001). We also showed that more CHAMMAS IV patterns (central blood flow greater than perinodular flow) (87.1% vs. 32.3%, P < 0.001)) and CHEN IV patterns (penetrating vascularity) (100% vs. 25.8%, P < 0.001) were found in l-MTC than benign nodules. CONCLUSIONS: Vascularity features can help differentiate l-MTC from benign nodules; moreover, we report a novel sonographic vascularity pattern of l-MTC disease, penetrating branching vascularity. The utilization of vascularity features will help to identify MTC among nodules with low-intermediate suspicion by ultrasound risk classification to ensure appropriate clinical management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-023-00583-6. BioMed Central 2023-06-20 /pmc/articles/PMC10280910/ /pubmed/37340452 http://dx.doi.org/10.1186/s40644-023-00583-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Gao, Luying Ma, Liyuan Li, Xiaoyi Liu, Chunhao Li, Naishi Lian, Xiaolan Xia, Weibo Liu, Ruifeng Shi, Xinlong Ji, Jiang Pan, Aonan Xia, Yu Jiang, Yuxin Using preoperative ultrasound vascularity characteristics to estimate medullary thyroid cancer |
title | Using preoperative ultrasound vascularity characteristics to estimate medullary thyroid cancer |
title_full | Using preoperative ultrasound vascularity characteristics to estimate medullary thyroid cancer |
title_fullStr | Using preoperative ultrasound vascularity characteristics to estimate medullary thyroid cancer |
title_full_unstemmed | Using preoperative ultrasound vascularity characteristics to estimate medullary thyroid cancer |
title_short | Using preoperative ultrasound vascularity characteristics to estimate medullary thyroid cancer |
title_sort | using preoperative ultrasound vascularity characteristics to estimate medullary thyroid cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280910/ https://www.ncbi.nlm.nih.gov/pubmed/37340452 http://dx.doi.org/10.1186/s40644-023-00583-6 |
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