Pilot study: A simple CAD-based tool to detect breast cancer on MRI of the breast Journal Article

  


Authors: Bennani-Baiti, B. I.; Weber, M.; Bernathova, M.; Clauser, P.; Kapetas, P.; Pinker, K.; Woitek, R.; Helbich, T.; Baltzer, P. T. A.
Article Title: Pilot study: A simple CAD-based tool to detect breast cancer on MRI of the breast
Abstract: Purpose: This pilot-study aims to assess, whether quantitatively assessed enhancing breast tissue as a percentage of the entire breast volume can serve as an indicator of breast cancer at breast MRI and whether the contrast-agent employed affects diagnostic efficacy. Materials: This retrospective IRB-approved study, included 39 consecutive patients, that underwent two subsequent breast MRI exams for suspicious findings at conventional imaging with 0.1 mmol/kg gadobenic and gadoteric acid. Two independent readers, blinded to the histopathological outcome, assessed unenhanced and early post-contrast images using computer-assisted software (Brevis, Siemens Healthcare). Diagnostic performance was statistically determined for percentage of ipsilateral voxel volume enhancement and for percentage of contralateral enhancing voxel volume subtracted from ipsilateral enhancing voxel volume after crosstabulation with the dichotomized histological outcome (benign/malignant). Results: Ipsilateral enhancing voxel volume versus histopathological outcome resulted in an AUC of 0.707 and 0.687 for gadobenic acid, reader 1 and 2, respectively and in an AUC of 0.778 and 0.773 for gadoteric acid, reader 1 and 2, respectively. Accounting for background parenchymal enhancement by subtracting contralateral enhancing volume from ipsilateral enhancing voxel volume versus histolopathological outcome resulted in an AUC of 0.793 and 0.843 for gadobenic acid, reader 1 and 2, respectively and in an AUC of 0.692 and 0.662 for gadoteric acid, reader 1 and 2, respectively. Pairwise testing yielded no statistically significant difference both between readers and between contrast agents employed (p > 0.05). Conclusion: Our proposed CAD algorithm, which quantitatively assesses enhancing breast tissue as a percentage of the entire breast volume, allows indicating the presence of breast cancer. © 2024 The Authors
Keywords: immunohistochemistry; adult; clinical article; aged; histopathology; area under the curve; cancer staging; nuclear magnetic resonance imaging; cancer grading; prospective study; ki 67 antigen; breast cancer; retrospective study; computer assisted diagnosis; diagnostic value; pilot study; quantitative analysis; estrogen receptor; progesterone receptor; voxel based morphometry; gadoterate meglumine; estrogen receptor positive breast cancer; gadoteric acid; human epidermal growth factor receptor 2 positive breast cancer; gadobenate dimeglumine; very elderly; human; male; female; article; progesterone receptor positive breast cancer; breast tissue; gadobenic acid
Journal Title: Magnetic Resonance Imaging
Volume: 110
ISSN: 0730-725X
Publisher: Elsevier Science, Inc.  
Date Published: 2024-07-01
Start Page: 1
End Page: 6
Language: English
DOI: 10.1016/j.mri.2024.03.011
PUBMED: 38479541
PROVIDER: scopus
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188999731&doi=10.1016%2fj.mri.2024.03.011&partnerID=40&md5=ef7fcbc0970ba8f8bdd7508c1b68d081
Notes: Article -- Source: Scopus
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MSK Authors
  1. Katja Pinker-Domenig
    214 Pinker-Domenig
  2. Panagiotis Kapetas
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