Three-dimensional visualization of cribriform pattern in ductal carcinoma in situ with x-ray dark field computed tomography

N. Sunaguchi; Z. Huang; D. Shimao; T. Yuasa; S. Ichihara; R. Nishimura; A. Iwakoshi; M. Ando

doi:10.1117/12.2563940

22 May 2020 Three-dimensional visualization of cribriform pattern in ductal carcinoma in situ with x-ray dark field computed tomography

N. Sunaguchi, Z. Huang, D. Shimao, T. Yuasa, S. Ichihara, R. Nishimura, A. Iwakoshi, M. Ando

Author Affiliations +

Proceedings Volume 11513, 15th International Workshop on Breast Imaging (IWBI2020); 115131X (2020) https://doi.org/10.1117/12.2563940
Event: Fifteenth International Workshop on Breast Imaging, 2020, Leuven, Belgium

Abstract

Cribriform architecture is a histological pattern reminiscent of Swiss cheese that is commonly recognized in ductal carcinoma in situ (DCIS) of the breast observed by microscope. However, there are only a few three-dimensional studies to elucidate whether each glandular cavities of cribriform pattern are connected or not. The main reason for paucity of three-dimensional studies is that the conventional reconstruction based on histological sections requires laborious and time-consuming works. In this research, we first performed three-dimensional reconstruction of the cribriform pattern using crystal analyzer-based phase contrast technique, X-ray dark field computed tomography (XDFI-CT), which provides high contrast image of biological soft tissue with non-destructive and non-staining approach. Then, we propose a machine-learning-based method to extract the cavity from XDFI-CT images. Finally, we show that the useful information to analyze the cribriform patterns in DCIS such as the density and volume of the cavity can be obtained from the XDFI-CT images.

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N. Sunaguchi, Z. Huang, D. Shimao, T. Yuasa, S. Ichihara, R. Nishimura, A. Iwakoshi, and M. Ando "Three-dimensional visualization of cribriform pattern in ductal carcinoma in situ with x-ray dark field computed tomography", Proc. SPIE 11513, 15th International Workshop on Breast Imaging (IWBI2020), 115131X (22 May 2020); https://doi.org/10.1117/12.2563940

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