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Chest CT for Breast Cancer Diagnosis

Background: We report the results of our retrospective analysis of the ability of standard chest CT scans to correctly diagnose cancer in the breast. Methods: Four hundred and fifty-three consecutive women with chest CT scans (contrast and non-contrast) preceding mammograms within one year comprise...

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Autores principales: Desperito, Elise, Schwartz, Lawrence, Capaccione, Kathleen M., Collins, Brian T., Jamabawalikar, Sachin, Peng, Boyu, Patrizio, Rebecca, Salvatore, Mary M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695285/
https://www.ncbi.nlm.nih.gov/pubmed/36362854
http://dx.doi.org/10.3390/life12111699
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author Desperito, Elise
Schwartz, Lawrence
Capaccione, Kathleen M.
Collins, Brian T.
Jamabawalikar, Sachin
Peng, Boyu
Patrizio, Rebecca
Salvatore, Mary M.
author_facet Desperito, Elise
Schwartz, Lawrence
Capaccione, Kathleen M.
Collins, Brian T.
Jamabawalikar, Sachin
Peng, Boyu
Patrizio, Rebecca
Salvatore, Mary M.
author_sort Desperito, Elise
collection PubMed
description Background: We report the results of our retrospective analysis of the ability of standard chest CT scans to correctly diagnose cancer in the breast. Methods: Four hundred and fifty-three consecutive women with chest CT scans (contrast and non-contrast) preceding mammograms within one year comprise the study population. All chest CT images were reviewed by an experienced fellowship-trained chest radiologist and mammograms by an experienced fellowship-trained mammographer without the benefit of prior or ancillary studies; only four mammographic views were included for analysis. The size, location, and shape of breast masses were documented; on CT, the average Hounsfield units were measured. On both imaging modalities, the presence of lymphadenopathy, architectural distortion, skin thickening, and microcalcifications were recorded. Ultimately, the interpreting radiologist was asked to decide if a biopsy was indicated, and these recommendations were correlated with the patient’s outcome. Findings: Nineteen of four hundred and fifty-three patients had breast cancer at the time of the mammography. Breast masses were the most common finding on chest CT, leading to the recommendation for biopsy. Hounsfield units were the most important feature for discerning benign from malignant masses. CT sensitivity, specificity, and accuracy of CT for breast cancer detection was 84.21%, 99.3%, and 98.68% compared to 78.95%, 93.78%, and 93.16% for four-view mammography. Chest CT scans with or without contrast had similar outcomes for specificity and accuracy, but sensitivity was slightly less without contrast. Chest CT alone, without the benefit of prior exams and patient recall, correctly diagnosed cancer with a p-value of <0.0001 compared to mammography with the same limitations. Conclusion: Chest CT accurately diagnosed breast cancer with few false positives and negatives and did so without the need for patient recall for additional imaging.
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spelling pubmed-96952852022-11-26 Chest CT for Breast Cancer Diagnosis Desperito, Elise Schwartz, Lawrence Capaccione, Kathleen M. Collins, Brian T. Jamabawalikar, Sachin Peng, Boyu Patrizio, Rebecca Salvatore, Mary M. Life (Basel) Article Background: We report the results of our retrospective analysis of the ability of standard chest CT scans to correctly diagnose cancer in the breast. Methods: Four hundred and fifty-three consecutive women with chest CT scans (contrast and non-contrast) preceding mammograms within one year comprise the study population. All chest CT images were reviewed by an experienced fellowship-trained chest radiologist and mammograms by an experienced fellowship-trained mammographer without the benefit of prior or ancillary studies; only four mammographic views were included for analysis. The size, location, and shape of breast masses were documented; on CT, the average Hounsfield units were measured. On both imaging modalities, the presence of lymphadenopathy, architectural distortion, skin thickening, and microcalcifications were recorded. Ultimately, the interpreting radiologist was asked to decide if a biopsy was indicated, and these recommendations were correlated with the patient’s outcome. Findings: Nineteen of four hundred and fifty-three patients had breast cancer at the time of the mammography. Breast masses were the most common finding on chest CT, leading to the recommendation for biopsy. Hounsfield units were the most important feature for discerning benign from malignant masses. CT sensitivity, specificity, and accuracy of CT for breast cancer detection was 84.21%, 99.3%, and 98.68% compared to 78.95%, 93.78%, and 93.16% for four-view mammography. Chest CT scans with or without contrast had similar outcomes for specificity and accuracy, but sensitivity was slightly less without contrast. Chest CT alone, without the benefit of prior exams and patient recall, correctly diagnosed cancer with a p-value of <0.0001 compared to mammography with the same limitations. Conclusion: Chest CT accurately diagnosed breast cancer with few false positives and negatives and did so without the need for patient recall for additional imaging. MDPI 2022-10-26 /pmc/articles/PMC9695285/ /pubmed/36362854 http://dx.doi.org/10.3390/life12111699 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Desperito, Elise
Schwartz, Lawrence
Capaccione, Kathleen M.
Collins, Brian T.
Jamabawalikar, Sachin
Peng, Boyu
Patrizio, Rebecca
Salvatore, Mary M.
Chest CT for Breast Cancer Diagnosis
title Chest CT for Breast Cancer Diagnosis
title_full Chest CT for Breast Cancer Diagnosis
title_fullStr Chest CT for Breast Cancer Diagnosis
title_full_unstemmed Chest CT for Breast Cancer Diagnosis
title_short Chest CT for Breast Cancer Diagnosis
title_sort chest ct for breast cancer diagnosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695285/
https://www.ncbi.nlm.nih.gov/pubmed/36362854
http://dx.doi.org/10.3390/life12111699
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