Three-dimensional microanatomy of human nipple visualized by X-ray dark-field computed tomography.


Journal

Breast cancer research and treatment
ISSN: 1573-7217
Titre abrégé: Breast Cancer Res Treat
Pays: Netherlands
ID NLM: 8111104

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 17 10 2019
accepted: 07 02 2020
pubmed: 15 2 2020
medline: 24 11 2020
entrez: 15 2 2020
Statut: ppublish

Résumé

The three-dimensional (3D) structure of the human nipple has not been fully clarified. However, its importance has increased in recent years because it has become common practice to preoperatively explore the spread of breast cancer to the nipple with needle biopsy, ductoscopy, and/or ductal lavage for nipple-sparing mastectomy. Here, we demonstrated that X-ray dark-field computed tomography (XDFI-CT) is a powerful tool for reconstructing the 3D distribution pattern of human lactiferous ducts non-destructively, without contrast agent, and with high tissue contrast. Nipples amputated from mastectomy specimens of 51 patients with breast cancer were visualized three-dimensionally by XDFI-CT. First, CT images and conventionally stained tissue sections were compared to demonstrate that XDFI-CT provides 3D anatomical information. Next, the number of ducts in the nipple and the number of ducts sharing an ostium near the tip of the nipple were measured from the volume set of XDFI-CT. Finally, the 3D distribution pattern of the ducts was determined. XDFI-CT can provide images almost equivalent to those of low-magnification light microscopy of conventional hematoxylin-eosin-stained histological sections. The mean number of ducts in all cases was 28.0. The total number of ducts sharing an ostium near the tip of the nipple was 525 of 1428. The 3D distribution patterns of the ducts were classified into three types that we defined as convergent (22%), straight (39%), or divergent (39%). XDFI-CT is useful for exploring the microanatomy of the human nipple and might be used for non-invasive nipple diagnosis in the future.

Identifiants

pubmed: 32056054
doi: 10.1007/s10549-020-05574-w
pii: 10.1007/s10549-020-05574-w
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

397-405

Auteurs

Naoki Sunaguchi (N)

Graduate School of Medicine, Nagoya University, Nagoya, Aichi, 461-8673, Japan. sunaguchi@met.nagoya-u.ac.jp.

Daisuke Shimao (D)

Department of Radiological Technology, Hokkaido University of Science, Sapporo, Hokkaido, 006-8585, Japan.

Tetsuya Yuasa (T)

Graduate School of Engineering and Science, Yamagata University, Yonezawa, Yamagata, 992-8510, Japan.

Shu Ichihara (S)

Department of Pathology, Nagoya Medical Center, Nagoya, Aichi, 460-0001, Japan.

Rieko Nishimura (R)

Department of Pathology, Nagoya Medical Center, Nagoya, Aichi, 460-0001, Japan.

Risa Oshima (R)

Department of Radiological Technology, Hokkaido University of Science, Sapporo, Hokkaido, 006-8585, Japan.

Aya Watanabe (A)

Graduate School of Medicine, Nagoya University, Nagoya, Aichi, 461-8673, Japan.

Kikuko Niwa (K)

Graduate School of Medicine, Nagoya University, Nagoya, Aichi, 461-8673, Japan.

Masami Ando (M)

Comprehensive Research Organization for Science and Society, Tsuchiura, Ibaraki, 300-0811, Japan.

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Classifications MeSH