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Contrast-Enhanced Cone-Beam Breast CT: An Analysis of Diagnostic Value in Predicting Breast Lesion With Rim Enhancement Malignancy

BACKGROUND: The objective of the current study was to investigate the diagnostic value of contrast-enhanced cone-beam breast computed tomography (CE-CBBCT) for breast lesion with rim enhancement (RE). METHODS: All 36 patients were examined by non-contrast (NC-CBBCT) and contrast-enhanced CBBCT (CE-C...

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Autores principales: Zhao, Xin, Yang, Jun, Zuo, Yang, Kang, Wei, Liao, Hai, Zheng, Zhong-Tao, Su, Dan-Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9172967/
https://www.ncbi.nlm.nih.gov/pubmed/35686106
http://dx.doi.org/10.3389/fonc.2022.868975
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author Zhao, Xin
Yang, Jun
Zuo, Yang
Kang, Wei
Liao, Hai
Zheng, Zhong-Tao
Su, Dan-Ke
author_facet Zhao, Xin
Yang, Jun
Zuo, Yang
Kang, Wei
Liao, Hai
Zheng, Zhong-Tao
Su, Dan-Ke
author_sort Zhao, Xin
collection PubMed
description BACKGROUND: The objective of the current study was to investigate the diagnostic value of contrast-enhanced cone-beam breast computed tomography (CE-CBBCT) for breast lesion with rim enhancement (RE). METHODS: All 36 patients were examined by non-contrast (NC-CBBCT) and contrast-enhanced CBBCT (CE-CBBCT) after contrast media (CM) injection. Qualitative morphological enhancement parameters and quantitative enhancement parameters were compared between malignant and benign groups. Multivariable logistic regression analysis was performed to identify independent factors that could predict breast lesion with RE malignancy. Receiver operating curve (ROC) was used to evaluate prediction performance. RESULTS: A total of 36 patients with 40 lesions underwent breast CE-CBBCT were enrolled. There were significant differences in most qualitative morphological enhancement parameters between the two groups. A multivariate logistic regression model showed that △standardized HU (INR(phase 2)−INR(preCM)) [odds ratio (OR) = 1.148, 95% CI = 1.034–1.276, p = 0.01] and △standardized HU (RP(phase 2) − RP(phase 1)) (OR = 0.891, 95% CI = 0.814–0.976, p = 0.013) were independent indicators in predicting breast lesion with RE malignancy. △standardized HU (INR(phase 2) − INR(preCM)) combined with △standardized HU (RP(phase 2) − RP(phase 1)) showed significant larger area under the receiver operating curve (AUC) and higher sensitivity than each alone (p < 0.001, AUC = 0.932, sensitivity = 92.59%, specificity = 92.31%). The regression equation of the prediction model was as follows: Logit (p) = 0.351 + 0.138X × △standardized HU (INR(phase 2) − INR(preCM)) − 0.115 × △standardized HU (RP(phase 2) − RP(phase 1)). CONCLUSION: With the observation of qualitative morphological enhancement parameters and the comparison of quantitative enhancement parameters of CBBCT, a reliable basis for the diagnostic accuracy in predicting breast lesion with RE could be provided. These conclusions should be verified in large, well-designed studies.
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spelling pubmed-91729672022-06-08 Contrast-Enhanced Cone-Beam Breast CT: An Analysis of Diagnostic Value in Predicting Breast Lesion With Rim Enhancement Malignancy Zhao, Xin Yang, Jun Zuo, Yang Kang, Wei Liao, Hai Zheng, Zhong-Tao Su, Dan-Ke Front Oncol Oncology BACKGROUND: The objective of the current study was to investigate the diagnostic value of contrast-enhanced cone-beam breast computed tomography (CE-CBBCT) for breast lesion with rim enhancement (RE). METHODS: All 36 patients were examined by non-contrast (NC-CBBCT) and contrast-enhanced CBBCT (CE-CBBCT) after contrast media (CM) injection. Qualitative morphological enhancement parameters and quantitative enhancement parameters were compared between malignant and benign groups. Multivariable logistic regression analysis was performed to identify independent factors that could predict breast lesion with RE malignancy. Receiver operating curve (ROC) was used to evaluate prediction performance. RESULTS: A total of 36 patients with 40 lesions underwent breast CE-CBBCT were enrolled. There were significant differences in most qualitative morphological enhancement parameters between the two groups. A multivariate logistic regression model showed that △standardized HU (INR(phase 2)−INR(preCM)) [odds ratio (OR) = 1.148, 95% CI = 1.034–1.276, p = 0.01] and △standardized HU (RP(phase 2) − RP(phase 1)) (OR = 0.891, 95% CI = 0.814–0.976, p = 0.013) were independent indicators in predicting breast lesion with RE malignancy. △standardized HU (INR(phase 2) − INR(preCM)) combined with △standardized HU (RP(phase 2) − RP(phase 1)) showed significant larger area under the receiver operating curve (AUC) and higher sensitivity than each alone (p < 0.001, AUC = 0.932, sensitivity = 92.59%, specificity = 92.31%). The regression equation of the prediction model was as follows: Logit (p) = 0.351 + 0.138X × △standardized HU (INR(phase 2) − INR(preCM)) − 0.115 × △standardized HU (RP(phase 2) − RP(phase 1)). CONCLUSION: With the observation of qualitative morphological enhancement parameters and the comparison of quantitative enhancement parameters of CBBCT, a reliable basis for the diagnostic accuracy in predicting breast lesion with RE could be provided. These conclusions should be verified in large, well-designed studies. Frontiers Media S.A. 2022-05-24 /pmc/articles/PMC9172967/ /pubmed/35686106 http://dx.doi.org/10.3389/fonc.2022.868975 Text en Copyright © 2022 Zhao, Yang, Zuo, Kang, Liao, Zheng and Su https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Zhao, Xin
Yang, Jun
Zuo, Yang
Kang, Wei
Liao, Hai
Zheng, Zhong-Tao
Su, Dan-Ke
Contrast-Enhanced Cone-Beam Breast CT: An Analysis of Diagnostic Value in Predicting Breast Lesion With Rim Enhancement Malignancy
title Contrast-Enhanced Cone-Beam Breast CT: An Analysis of Diagnostic Value in Predicting Breast Lesion With Rim Enhancement Malignancy
title_full Contrast-Enhanced Cone-Beam Breast CT: An Analysis of Diagnostic Value in Predicting Breast Lesion With Rim Enhancement Malignancy
title_fullStr Contrast-Enhanced Cone-Beam Breast CT: An Analysis of Diagnostic Value in Predicting Breast Lesion With Rim Enhancement Malignancy
title_full_unstemmed Contrast-Enhanced Cone-Beam Breast CT: An Analysis of Diagnostic Value in Predicting Breast Lesion With Rim Enhancement Malignancy
title_short Contrast-Enhanced Cone-Beam Breast CT: An Analysis of Diagnostic Value in Predicting Breast Lesion With Rim Enhancement Malignancy
title_sort contrast-enhanced cone-beam breast ct: an analysis of diagnostic value in predicting breast lesion with rim enhancement malignancy
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9172967/
https://www.ncbi.nlm.nih.gov/pubmed/35686106
http://dx.doi.org/10.3389/fonc.2022.868975
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