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Prediction of thyroid nodule histopathology by expert ultrasound evaluation
OBJECTIVE: The basis of thyroid nodule diagnostics is ultrasound-guided fine needle biopsy with cytological evaluation (FNC) if ultrasound appearance is not clearly benign. The aim of this study was to investigate the predictive potential of dedicated, expert high-resolution ultrasound, to see if hi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Bioscientifica Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346181/ https://www.ncbi.nlm.nih.gov/pubmed/34156970 http://dx.doi.org/10.1530/EC-21-0192 |
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author | Håskjold, Olav Inge Foshaug, Henrik Stenestø Iversen, Therese Benedikte Kjøren, Helga Charlotte Brun, Vegard Heimly |
author_facet | Håskjold, Olav Inge Foshaug, Henrik Stenestø Iversen, Therese Benedikte Kjøren, Helga Charlotte Brun, Vegard Heimly |
author_sort | Håskjold, Olav Inge |
collection | PubMed |
description | OBJECTIVE: The basis of thyroid nodule diagnostics is ultrasound-guided fine needle biopsy with cytological evaluation (FNC) if ultrasound appearance is not clearly benign. The aim of this study was to investigate the predictive potential of dedicated, expert high-resolution ultrasound, to see if histopathological entities of thyroid nodules can be diagnosed without invasive FNC biopsies. DESIGN: Prospective case-cohort study. METHODS: 187 patients with 221 thyroid nodules were examined with ultrasound and prospectively assigned to the expected histopathological diagnosis: colloid nodule, adenomatoid colloid nodule, follicular adenoma, follicular carcinoma, follicular variant of papillary thyroid carcinoma, papillary thyroid carcinoma, or other thyroid cancer. In 101 of these, we later obtained histopathological reports for comparison. RESULTS: Overall accuracy for classification into discrete histopathological categories by expert ultrasound was 71.3% and Cohen’s Kappa was 0.62. The sensitivity and specificity for detecting malignancy were 97.3% and 78.1%. The diagnostic accuracy for malignancy was 85.1%. ACR-TIRADS scores for the same nodules had a sensitivity of 97.3%, specificity of 26.6%, and accuracy of 52.5%. CONCLUSION: Dedicated expert high-resolution ultrasound without FNC can reliably distinguish benign vs malignant nodules, but also differentiate between several histopathological entities in thyroid nodules. There is potential for a reduction in the number of invasive FNC biopsies and diagnostic operations. |
format | Online Article Text |
id | pubmed-8346181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Bioscientifica Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-83461812021-08-10 Prediction of thyroid nodule histopathology by expert ultrasound evaluation Håskjold, Olav Inge Foshaug, Henrik Stenestø Iversen, Therese Benedikte Kjøren, Helga Charlotte Brun, Vegard Heimly Endocr Connect Research OBJECTIVE: The basis of thyroid nodule diagnostics is ultrasound-guided fine needle biopsy with cytological evaluation (FNC) if ultrasound appearance is not clearly benign. The aim of this study was to investigate the predictive potential of dedicated, expert high-resolution ultrasound, to see if histopathological entities of thyroid nodules can be diagnosed without invasive FNC biopsies. DESIGN: Prospective case-cohort study. METHODS: 187 patients with 221 thyroid nodules were examined with ultrasound and prospectively assigned to the expected histopathological diagnosis: colloid nodule, adenomatoid colloid nodule, follicular adenoma, follicular carcinoma, follicular variant of papillary thyroid carcinoma, papillary thyroid carcinoma, or other thyroid cancer. In 101 of these, we later obtained histopathological reports for comparison. RESULTS: Overall accuracy for classification into discrete histopathological categories by expert ultrasound was 71.3% and Cohen’s Kappa was 0.62. The sensitivity and specificity for detecting malignancy were 97.3% and 78.1%. The diagnostic accuracy for malignancy was 85.1%. ACR-TIRADS scores for the same nodules had a sensitivity of 97.3%, specificity of 26.6%, and accuracy of 52.5%. CONCLUSION: Dedicated expert high-resolution ultrasound without FNC can reliably distinguish benign vs malignant nodules, but also differentiate between several histopathological entities in thyroid nodules. There is potential for a reduction in the number of invasive FNC biopsies and diagnostic operations. Bioscientifica Ltd 2021-06-22 /pmc/articles/PMC8346181/ /pubmed/34156970 http://dx.doi.org/10.1530/EC-21-0192 Text en © The authors https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | Research Håskjold, Olav Inge Foshaug, Henrik Stenestø Iversen, Therese Benedikte Kjøren, Helga Charlotte Brun, Vegard Heimly Prediction of thyroid nodule histopathology by expert ultrasound evaluation |
title | Prediction of thyroid nodule histopathology by expert ultrasound evaluation |
title_full | Prediction of thyroid nodule histopathology by expert ultrasound evaluation |
title_fullStr | Prediction of thyroid nodule histopathology by expert ultrasound evaluation |
title_full_unstemmed | Prediction of thyroid nodule histopathology by expert ultrasound evaluation |
title_short | Prediction of thyroid nodule histopathology by expert ultrasound evaluation |
title_sort | prediction of thyroid nodule histopathology by expert ultrasound evaluation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346181/ https://www.ncbi.nlm.nih.gov/pubmed/34156970 http://dx.doi.org/10.1530/EC-21-0192 |
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