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Can acoustic structural quantification be used to characterize the ultrasound echotexture of the peripheral zone of breast lesions?
BACKGROUND: Besides mammography, breast ultrasound is the most important imaging modality for women with suspected breast cancer. New software tools bear high potential for improved detectability and specification of malignant breast lesions. OBJECTIVE: To compare the halo depicted around malignant...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700716/ https://www.ncbi.nlm.nih.gov/pubmed/30714952 http://dx.doi.org/10.3233/CH-180484 |
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author | Bach, Annika Hameister, Clarissa Slowinski, Torsten Jung, Ernst Michael Thomas, Anke Fischer, Thomas |
author_facet | Bach, Annika Hameister, Clarissa Slowinski, Torsten Jung, Ernst Michael Thomas, Anke Fischer, Thomas |
author_sort | Bach, Annika |
collection | PubMed |
description | BACKGROUND: Besides mammography, breast ultrasound is the most important imaging modality for women with suspected breast cancer. New software tools bear high potential for improved detectability and specification of malignant breast lesions. OBJECTIVE: To compare the halo depicted around malignant breast lesions by ultrasound using Acoustic Structure Quantification (ASQ) of raw image data with the echogenic rim seen in B-mode ultrasound. METHODS: This retrospective study included 37 women for whom conventional B-mode ultrasound of the breast and ASQ were available as well as histopathology findings for comparison. Software tools were used to measure the halo area or echogenic rim and tumor area and calculate halo-to-lesion ratios for the two ultrasound modes. Six inexperienced readers characterized the breast lesions based on this information. Specificity, sensitivity, positive predictive value (PPV), and negative predictive value (NPV) were determined. ANOVA, the Wilcoxon test, and ROC curve analysis were performed. RESULTS: There was a linear relationship between ASQ-based and B-mode-based halo-to-lesion ratios; however, a systematic error was also noted. ASQ-derived ratios tended to be higher for breast lesions with lymphangioinvasion (p = 0.051, n.s.) and higher N-stages (p > 0.925, n.s.), while there was no correlation with other markers. Because of the significantly greater conspicuity of peritumoral halos in the ASQ mode, inexperienced readers achieved greater sensitivity (78% vs. 74%) and specificity (75% vs. 71%) and higher NPVs (75% vs. 71%) and PPVs (78% vs. 74%) compared with B-mode images. Greater halo conspicuity affected the identification of malignant lesions with both modes; ASQ was found to be particularly well suited (F(Bimage) (1,100) = 19.253, p < 0.001; F(ASQ) (1,100) = 52.338, p < 0.001). The inexperienced readers were significantly more confident about their diagnosis using the ASQ maps (z = –3.023, p = 0.003). CONCLUSIONS: We conclude that the halo in ASQ and the echogenic rim in B-mode ultrasound are attributable to different morphologic correlates. ASQ improves diagnostic accuracy and confidence of inexperienced examiners because of improved halo visibility. |
format | Online Article Text |
id | pubmed-6700716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-67007162019-09-03 Can acoustic structural quantification be used to characterize the ultrasound echotexture of the peripheral zone of breast lesions? Bach, Annika Hameister, Clarissa Slowinski, Torsten Jung, Ernst Michael Thomas, Anke Fischer, Thomas Clin Hemorheol Microcirc Research Article BACKGROUND: Besides mammography, breast ultrasound is the most important imaging modality for women with suspected breast cancer. New software tools bear high potential for improved detectability and specification of malignant breast lesions. OBJECTIVE: To compare the halo depicted around malignant breast lesions by ultrasound using Acoustic Structure Quantification (ASQ) of raw image data with the echogenic rim seen in B-mode ultrasound. METHODS: This retrospective study included 37 women for whom conventional B-mode ultrasound of the breast and ASQ were available as well as histopathology findings for comparison. Software tools were used to measure the halo area or echogenic rim and tumor area and calculate halo-to-lesion ratios for the two ultrasound modes. Six inexperienced readers characterized the breast lesions based on this information. Specificity, sensitivity, positive predictive value (PPV), and negative predictive value (NPV) were determined. ANOVA, the Wilcoxon test, and ROC curve analysis were performed. RESULTS: There was a linear relationship between ASQ-based and B-mode-based halo-to-lesion ratios; however, a systematic error was also noted. ASQ-derived ratios tended to be higher for breast lesions with lymphangioinvasion (p = 0.051, n.s.) and higher N-stages (p > 0.925, n.s.), while there was no correlation with other markers. Because of the significantly greater conspicuity of peritumoral halos in the ASQ mode, inexperienced readers achieved greater sensitivity (78% vs. 74%) and specificity (75% vs. 71%) and higher NPVs (75% vs. 71%) and PPVs (78% vs. 74%) compared with B-mode images. Greater halo conspicuity affected the identification of malignant lesions with both modes; ASQ was found to be particularly well suited (F(Bimage) (1,100) = 19.253, p < 0.001; F(ASQ) (1,100) = 52.338, p < 0.001). The inexperienced readers were significantly more confident about their diagnosis using the ASQ maps (z = –3.023, p = 0.003). CONCLUSIONS: We conclude that the halo in ASQ and the echogenic rim in B-mode ultrasound are attributable to different morphologic correlates. ASQ improves diagnostic accuracy and confidence of inexperienced examiners because of improved halo visibility. IOS Press 2019-08-05 /pmc/articles/PMC6700716/ /pubmed/30714952 http://dx.doi.org/10.3233/CH-180484 Text en © 2019 – IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) License (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Bach, Annika Hameister, Clarissa Slowinski, Torsten Jung, Ernst Michael Thomas, Anke Fischer, Thomas Can acoustic structural quantification be used to characterize the ultrasound echotexture of the peripheral zone of breast lesions? |
title | Can acoustic structural quantification be used to characterize the ultrasound echotexture of the peripheral zone of breast lesions? |
title_full | Can acoustic structural quantification be used to characterize the ultrasound echotexture of the peripheral zone of breast lesions? |
title_fullStr | Can acoustic structural quantification be used to characterize the ultrasound echotexture of the peripheral zone of breast lesions? |
title_full_unstemmed | Can acoustic structural quantification be used to characterize the ultrasound echotexture of the peripheral zone of breast lesions? |
title_short | Can acoustic structural quantification be used to characterize the ultrasound echotexture of the peripheral zone of breast lesions? |
title_sort | can acoustic structural quantification be used to characterize the ultrasound echotexture of the peripheral zone of breast lesions? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700716/ https://www.ncbi.nlm.nih.gov/pubmed/30714952 http://dx.doi.org/10.3233/CH-180484 |
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