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Ultrasound real-time elastography can predict malignancy in BI-RADS(®)-US 3 lesions
BACKGROUND: Lesions of the breast that are classified BI-RADS(®)-US 3 by ultrasound are probably benign and observation is recommended, although malignancy may occasionally occur. In our study, we focus exclusively on BI-RADS(®)-US 3 lesions and hypothesize that sonoelastography as an adjunct to con...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3618252/ https://www.ncbi.nlm.nih.gov/pubmed/23530903 http://dx.doi.org/10.1186/1471-2407-13-159 |
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author | Wojcinski, Sebastian Boehme, Esther Farrokh, André Soergel, Philipp Degenhardt, Friedrich Hillemanns, Peter |
author_facet | Wojcinski, Sebastian Boehme, Esther Farrokh, André Soergel, Philipp Degenhardt, Friedrich Hillemanns, Peter |
author_sort | Wojcinski, Sebastian |
collection | PubMed |
description | BACKGROUND: Lesions of the breast that are classified BI-RADS(®)-US 3 by ultrasound are probably benign and observation is recommended, although malignancy may occasionally occur. In our study, we focus exclusively on BI-RADS(®)-US 3 lesions and hypothesize that sonoelastography as an adjunct to conventional ultrasound can identify a high-risk-group and a low-risk-group within these patients. METHODS: A group of 177 breast lesions that were classified BI-RADS(®)-US 3 were additionally examined with real-time sonoelastography. Elastograms were evaluated according to the Tsukuba Elasticity Score. Pretest and posttest probability of disease (POD), sensitivity (SE), specificity (SP), positive (PPV) and negative predictive values (NPV) and likelihood-ratios (LR) were calculated. Furthermore, we analyzed the false-negative and false-positive cases and performed a model calculation to determine how elastography could affect the proceedings in population screening. RESULTS: In our collection of BI-RADS(®)-US 3 cases there were 169 benign and eight malignant lesions. The pretest POD was 4.5% (95% confidence interval (CI): 2.1–9.0). In patients with a suspicious elastogram (high-risk group), the posttest POD was significantly higher (13.2%, p = 0.041) and the positive LR was 3.2 (95% CI: 1.7–5.9). With a benign elastogram (low-risk group), the posttest POD decreased to 2.2%. SE, SP, PPV and NPV for sonoelastography in BI-RADS(®)-US 3 lesions were 62.5% (95% CI: 25.9–89.8), 80.5% (95% CI: 73.5–86.0), 13.2% (95% CI: 5.0–28.9) and 97.8% (95% CI: 93.3–99.4), respectively. CONCLUSIONS: Sonoelastography yields additional diagnostic information in the evaluation of BI-RADS(®)-US 3 lesions of the breast. The examiner can identify a low-risk group that can be vigilantly observed and a high-risk group that should receive immediate biopsy due to an elevated breast cancer risk. |
format | Online Article Text |
id | pubmed-3618252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-36182522013-04-07 Ultrasound real-time elastography can predict malignancy in BI-RADS(®)-US 3 lesions Wojcinski, Sebastian Boehme, Esther Farrokh, André Soergel, Philipp Degenhardt, Friedrich Hillemanns, Peter BMC Cancer Research Article BACKGROUND: Lesions of the breast that are classified BI-RADS(®)-US 3 by ultrasound are probably benign and observation is recommended, although malignancy may occasionally occur. In our study, we focus exclusively on BI-RADS(®)-US 3 lesions and hypothesize that sonoelastography as an adjunct to conventional ultrasound can identify a high-risk-group and a low-risk-group within these patients. METHODS: A group of 177 breast lesions that were classified BI-RADS(®)-US 3 were additionally examined with real-time sonoelastography. Elastograms were evaluated according to the Tsukuba Elasticity Score. Pretest and posttest probability of disease (POD), sensitivity (SE), specificity (SP), positive (PPV) and negative predictive values (NPV) and likelihood-ratios (LR) were calculated. Furthermore, we analyzed the false-negative and false-positive cases and performed a model calculation to determine how elastography could affect the proceedings in population screening. RESULTS: In our collection of BI-RADS(®)-US 3 cases there were 169 benign and eight malignant lesions. The pretest POD was 4.5% (95% confidence interval (CI): 2.1–9.0). In patients with a suspicious elastogram (high-risk group), the posttest POD was significantly higher (13.2%, p = 0.041) and the positive LR was 3.2 (95% CI: 1.7–5.9). With a benign elastogram (low-risk group), the posttest POD decreased to 2.2%. SE, SP, PPV and NPV for sonoelastography in BI-RADS(®)-US 3 lesions were 62.5% (95% CI: 25.9–89.8), 80.5% (95% CI: 73.5–86.0), 13.2% (95% CI: 5.0–28.9) and 97.8% (95% CI: 93.3–99.4), respectively. CONCLUSIONS: Sonoelastography yields additional diagnostic information in the evaluation of BI-RADS(®)-US 3 lesions of the breast. The examiner can identify a low-risk group that can be vigilantly observed and a high-risk group that should receive immediate biopsy due to an elevated breast cancer risk. BioMed Central 2013-03-27 /pmc/articles/PMC3618252/ /pubmed/23530903 http://dx.doi.org/10.1186/1471-2407-13-159 Text en Copyright © 2013 Wojcinski et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wojcinski, Sebastian Boehme, Esther Farrokh, André Soergel, Philipp Degenhardt, Friedrich Hillemanns, Peter Ultrasound real-time elastography can predict malignancy in BI-RADS(®)-US 3 lesions |
title | Ultrasound real-time elastography can predict malignancy in BI-RADS(®)-US 3 lesions |
title_full | Ultrasound real-time elastography can predict malignancy in BI-RADS(®)-US 3 lesions |
title_fullStr | Ultrasound real-time elastography can predict malignancy in BI-RADS(®)-US 3 lesions |
title_full_unstemmed | Ultrasound real-time elastography can predict malignancy in BI-RADS(®)-US 3 lesions |
title_short | Ultrasound real-time elastography can predict malignancy in BI-RADS(®)-US 3 lesions |
title_sort | ultrasound real-time elastography can predict malignancy in bi-rads(®)-us 3 lesions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3618252/ https://www.ncbi.nlm.nih.gov/pubmed/23530903 http://dx.doi.org/10.1186/1471-2407-13-159 |
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