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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
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.
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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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