Utility of Tissue Classification in Invasive Ductal Carcinoma using Dynamic Magnetic Resonance Imaging of the Mammary Gland.

Yoshiaki Miyazaki, Nobuyuki Tabata, Yuichiro Kubo, Kenji Shinozaki

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Article in Journal of clinical imaging science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Yoshiaki MiyazakiDepartment of Radiological Technology, National Cancer Center, Tokyo, Japan.

Nobuyuki TabataDepartment of Radiology, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan.

Yuichiro KuboDepartment of Clinical Radiology, Kyushu University Hospital, Fukuoka, Japan.

Kenji ShinozakiDepartment of Radiology, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn Japan, invasive ductal carcinomas, which account for 75% of breast cancer cases, are sub-classified as solid, tubule-forming, scirrhous, and other types based on the histopathological findings. Although time-intensity curve (TIC) analysis of magnetic resonance (MR) images has shown diagnostic ability in differentiating benign and malignant tumors, its ability to diagnose different tumor tissue types has not yet been achieved. In this study, we report a histological classification of invasive ductal carcinoma using the TIC analysis of dynamic MR images of the mammary gland. MATERIAL AND

methodsA total of 312 invasive ductal carcinomas were analyzed, and each tissue type that indicated malignancy in the washout parts of the tumors was classified and characterized using the TIC.

resultsThe tissue was classified, and the results were then compared to the pathohistological diagnosis. Using this method, the accuracy of tissue classification by quantitative analysis of TIC-MR images was 86.9% (271/312), which was higher than that obtained by ultrasonography 68.9% (215/312).

conclusionThis method is effective for classifying tissue types in invasive ductal carcinoma.

Indexed as

Breast cancerComputer-aided diagnosisHistological classificationInvasive ductal carcinomaTime-intensity curve

Identifiers

PMID33598361

DOI10.25259/JCIS_173_2020

PMCPMC7881501

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