Cargando…
Ultrasound grayscale ratio: a reliable parameter for differentiating between papillary thyroid microcarcinoma and micronodular goiter
BACKGROUND: The present study aimed to quantify and differentiate the echo levels of papillary thyroid microcarcinomas (PTMCs) and micronodular goiters (MNGs) using the ultrasound grayscale ratio (UGSR) and to investigate the repeatability of UGSR. METHODS: The ultrasound (US) data of 241 patients w...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952271/ https://www.ncbi.nlm.nih.gov/pubmed/35331216 http://dx.doi.org/10.1186/s12902-022-00994-9 |
_version_ | 1784675573969190912 |
---|---|
author | Gong, Yun Yao, Xiuzhen Yu, Lifang Wei, Peiying Han, Zhijiang Fang, Jianhua Ao, Weiqun Xu, Chenke |
author_facet | Gong, Yun Yao, Xiuzhen Yu, Lifang Wei, Peiying Han, Zhijiang Fang, Jianhua Ao, Weiqun Xu, Chenke |
author_sort | Gong, Yun |
collection | PubMed |
description | BACKGROUND: The present study aimed to quantify and differentiate the echo levels of papillary thyroid microcarcinomas (PTMCs) and micronodular goiters (MNGs) using the ultrasound grayscale ratio (UGSR) and to investigate the repeatability of UGSR. METHODS: The ultrasound (US) data of 241 patients with 265 PTMCs and 141 patients with 168 MNGs confirmed by surgery and pathology were retrospectively analyzed. All patients had received outpatient ultrasonic examination and preoperative ultrasonic positioning. The RADinfo radiograph reading system was used to measure the grayscales of PTMC, MNG, and thyroid tissues at the same gain level, and the UGSR values of the PTMC, MNG, and thyroid tissue were calculated. The patients were divided into outpatient examination, preoperative positioning, and mean value groups, and the receiver operating characteristic (ROC) curves were calculated to obtain the optimal UGSR threshold to distinguish PTMC from MNG. The interclass correlation coefficient (ICC) was used to assess the consistency of UGSR measured in three groups. RESULTS: The UGSR values of the PTMC and MNG were 0.56 ± 0.14 and 0.80 ± 0.19 (t = 5.84, P < 0.001) in the outpatient examination group, 0.55 ± 0.14 and 0.80 ± 0.19 (t = 18.74, P < 0.001) in the preoperative positioning group, and 0.56 ± 0.12 and 0.80 ± 0.18 (t = 16.49, P < 0.001) in the mean value group. The areas under the ROC curves in the three groups were 0.860, 0.856, and 0.875, respectively. When the UGSR values for the outpatient examination, preoperative positioning, and mean value groups were 0.649, 0.646, and 0.657, respectively, each group obtained its largest Youden index. A reliable UGSR value was obtained between the outpatient examination and preoperative positioning groups (ICC = 0.79, P = 0.68). CONCLUSION: UGSR is a simple and repeatable method to distinguish PTMC from MNG, and hence, can be widely applicable. |
format | Online Article Text |
id | pubmed-8952271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89522712022-03-26 Ultrasound grayscale ratio: a reliable parameter for differentiating between papillary thyroid microcarcinoma and micronodular goiter Gong, Yun Yao, Xiuzhen Yu, Lifang Wei, Peiying Han, Zhijiang Fang, Jianhua Ao, Weiqun Xu, Chenke BMC Endocr Disord Research BACKGROUND: The present study aimed to quantify and differentiate the echo levels of papillary thyroid microcarcinomas (PTMCs) and micronodular goiters (MNGs) using the ultrasound grayscale ratio (UGSR) and to investigate the repeatability of UGSR. METHODS: The ultrasound (US) data of 241 patients with 265 PTMCs and 141 patients with 168 MNGs confirmed by surgery and pathology were retrospectively analyzed. All patients had received outpatient ultrasonic examination and preoperative ultrasonic positioning. The RADinfo radiograph reading system was used to measure the grayscales of PTMC, MNG, and thyroid tissues at the same gain level, and the UGSR values of the PTMC, MNG, and thyroid tissue were calculated. The patients were divided into outpatient examination, preoperative positioning, and mean value groups, and the receiver operating characteristic (ROC) curves were calculated to obtain the optimal UGSR threshold to distinguish PTMC from MNG. The interclass correlation coefficient (ICC) was used to assess the consistency of UGSR measured in three groups. RESULTS: The UGSR values of the PTMC and MNG were 0.56 ± 0.14 and 0.80 ± 0.19 (t = 5.84, P < 0.001) in the outpatient examination group, 0.55 ± 0.14 and 0.80 ± 0.19 (t = 18.74, P < 0.001) in the preoperative positioning group, and 0.56 ± 0.12 and 0.80 ± 0.18 (t = 16.49, P < 0.001) in the mean value group. The areas under the ROC curves in the three groups were 0.860, 0.856, and 0.875, respectively. When the UGSR values for the outpatient examination, preoperative positioning, and mean value groups were 0.649, 0.646, and 0.657, respectively, each group obtained its largest Youden index. A reliable UGSR value was obtained between the outpatient examination and preoperative positioning groups (ICC = 0.79, P = 0.68). CONCLUSION: UGSR is a simple and repeatable method to distinguish PTMC from MNG, and hence, can be widely applicable. BioMed Central 2022-03-24 /pmc/articles/PMC8952271/ /pubmed/35331216 http://dx.doi.org/10.1186/s12902-022-00994-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Gong, Yun Yao, Xiuzhen Yu, Lifang Wei, Peiying Han, Zhijiang Fang, Jianhua Ao, Weiqun Xu, Chenke Ultrasound grayscale ratio: a reliable parameter for differentiating between papillary thyroid microcarcinoma and micronodular goiter |
title | Ultrasound grayscale ratio: a reliable parameter for differentiating between papillary thyroid microcarcinoma and micronodular goiter |
title_full | Ultrasound grayscale ratio: a reliable parameter for differentiating between papillary thyroid microcarcinoma and micronodular goiter |
title_fullStr | Ultrasound grayscale ratio: a reliable parameter for differentiating between papillary thyroid microcarcinoma and micronodular goiter |
title_full_unstemmed | Ultrasound grayscale ratio: a reliable parameter for differentiating between papillary thyroid microcarcinoma and micronodular goiter |
title_short | Ultrasound grayscale ratio: a reliable parameter for differentiating between papillary thyroid microcarcinoma and micronodular goiter |
title_sort | ultrasound grayscale ratio: a reliable parameter for differentiating between papillary thyroid microcarcinoma and micronodular goiter |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952271/ https://www.ncbi.nlm.nih.gov/pubmed/35331216 http://dx.doi.org/10.1186/s12902-022-00994-9 |
work_keys_str_mv | AT gongyun ultrasoundgrayscaleratioareliableparameterfordifferentiatingbetweenpapillarythyroidmicrocarcinomaandmicronodulargoiter AT yaoxiuzhen ultrasoundgrayscaleratioareliableparameterfordifferentiatingbetweenpapillarythyroidmicrocarcinomaandmicronodulargoiter AT yulifang ultrasoundgrayscaleratioareliableparameterfordifferentiatingbetweenpapillarythyroidmicrocarcinomaandmicronodulargoiter AT weipeiying ultrasoundgrayscaleratioareliableparameterfordifferentiatingbetweenpapillarythyroidmicrocarcinomaandmicronodulargoiter AT hanzhijiang ultrasoundgrayscaleratioareliableparameterfordifferentiatingbetweenpapillarythyroidmicrocarcinomaandmicronodulargoiter AT fangjianhua ultrasoundgrayscaleratioareliableparameterfordifferentiatingbetweenpapillarythyroidmicrocarcinomaandmicronodulargoiter AT aoweiqun ultrasoundgrayscaleratioareliableparameterfordifferentiatingbetweenpapillarythyroidmicrocarcinomaandmicronodulargoiter AT xuchenke ultrasoundgrayscaleratioareliableparameterfordifferentiatingbetweenpapillarythyroidmicrocarcinomaandmicronodulargoiter |