Computer‐assisted complete three‐dimensional reconstruction of the mammary ductal/lobular systems

Ohtake, Tohru; Kimijima, Izo; Fukushima, Toshihiko; Yasuda, Mitsuhiko; Sekikawa, Koji; Takenoshita, Seiichi; Abe, Rikiya

doi:10.1002/1097-0142(20010615)91:12<2263::aid-cncr1257>3.3.co;2-x

Cited by 28 publications

(31 citation statements)

References 21 publications

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“…This directional discrepancy may be due to either misidentifying the additional sebaceous glands/tubercles/tubes as breast ducts or incorrectly recognizing that a lobe is completely distinct, as described by Teboul and Halliwell. 7 This misinterpretation well may explain the discrepancy in the data, such as that of Ohtake et al, 8 who used nipple-sparing quadrantectomies to generate elegant three-dimensional computer reconstructions of the mammary duct-lobular systems. Those authors found 16 mammary ductal systems in 1 breast and 4 with intraductal anastomoses.…”

Section: Discussionsupporting

confidence: 89%

Anatomy of the nipple and breast ducts revisited

M.D.

Barsky

2004

Cancer

145

103

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BACKGROUND Increasing interest in the intraductal approach to the breast has necessitated revisiting the anatomy of the breast. METHODS Using six different complementary in vivo and in vitro approaches, the authors determined the number, distribution, and anatomic properties of the ductal systems of the breast, which extend from the nipple orifices to the terminal duct lobular units. RESULTS More than 90% of all nipples examined contained 5–9 ductal orifices, generally arranged as a central group and a peripheral group. Each nipple orifice communicated with a separate, nonanastomosing ductal system, which extended to the terminal duct lobular unit. CONCLUSIONS Increased knowledge of the ductal anatomy of the breast and the ability to access the nipple ductal orifices will provide a foundation for the intraductal approach to the breast. Cancer 2004. © 2004 American Cancer Society

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Section: Discussionsupporting

confidence: 89%

Anatomy of the nipple and breast ducts revisited

M.D.

Barsky

2004

Cancer

145

103

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“…Most mammary malignancies start by aberrant proliferation of epithelial cells in the ducts or . Recently, computer derived tracking of whole-breast ductal trees has been achieved in few human breasts using mastectomy specimens 26,27 . The work presented here shows that parameters obtained by in vivo diffusion tensor imaging provide information associated with the distinct mammary tissue microstructural features, enabling also non-invasive breast cancer detection.…”

Section: Introductionmentioning

confidence: 99%

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Nissan

Furman‐Haran

Feinberg-Shapiro

et al. 2014

JoVE

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Breast cancer is the most common cause of cancer among women worldwide. Early detection of breast cancer has a critical role in improving the quality of life and survival of breast cancer patients. In this paper a new approach for the detection of breast cancer is described, based on tracking the mammary architectural elements using diffusion tensor imaging (DTI).The paper focuses on the scanning protocols and image processing algorithms and software that were designed to fit the diffusion properties of the mammary fibroglandular tissue and its changes during malignant transformation. The final output yields pixel by pixel vector maps that track the architecture of the entire mammary ductal glandular trees and parametric maps of the diffusion tensor coefficients and anisotropy indices.The efficiency of the method to detect breast cancer was tested by scanning women volunteers including 68 patients with breast cancer confirmed by histopathology findings. Regions with cancer cells exhibited a marked reduction in the diffusion coefficients and in the maximal anisotropy index as compared to the normal breast tissue, providing an intrinsic contrast for delineating the boundaries of malignant growth. Overall, the sensitivity of the DTI parameters to detect breast cancer was found to be high, particularly in dense breasts, and comparable to the current standard breast MRI method that requires injection of a contrast agent. Thus, this method offers a completely non-invasive, safe and sensitive tool for breast cancer detection.

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“…This paper will focus on the annotation of the structures of interest on the H&E stained sections. Manual segmentation has been used before to delineate histological structures [6], [7], [8]. In order to build the 3D reconstruction of the block, we initially annotated each of the interesting features of the tissue on each section by using manually drawn contours.…”

Section: Introductionmentioning

confidence: 99%

Automatic segmentation of histological structures in mammary gland tissue sections

et al. 2004

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Real-time three-dimensional (3D) reconstruction of epithelial structures in human mammary gland tissue blocks mapped with selected markers would be an extremely helpful tool for breast cancer diagnosis and treatment planning. Besides its clear clinical application, this tool could also shed a great deal of light on the molecular basis of breast cancer initiation and progression.In this paper we present a framework for real-time segmentation of epithelial structures in two-dimensional (2D) images of sections of normal and neoplastic mammary gland tissue blocks. Complete 3D rendering of the tissue can then be done by surface rendering of the structures detected in consecutive sections of the blocks.Paraffin embedded or frozen tissue blocks are first sliced, and sections are stained with Hematoxylin and Eosin. The sections are then imaged using conventional bright field microscopy and their background is corrected using a phantom image.We then use the Fast-Marching algorithm to roughly extract the contours of the different morphological structures in the images. The result is then refined with the Level-Set method which converges to an accurate (sub-pixel) solution for the segmentation problem. Finally, our system stacks together the 2D results obtained in order to reconstruct a 3D representation of the entire tissue block under study. Our method is illustrated with results from the segmentation of human and mouse mammary gland tissue samples.

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Computer‐assisted complete three‐dimensional reconstruction of the mammary ductal/lobular systems

Cited by 28 publications

References 21 publications

Anatomy of the nipple and breast ducts revisited

Anatomy of the nipple and breast ducts revisited

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Automatic segmentation of histological structures in mammary gland tissue sections

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