Literature DB >> 19304588

Three-dimensional reconstruction of sentinel lymph nodes with metastatic breast cancer indicates three distinct patterns of tumour growth.

E C Paish1, A R Green, E A Rakha, R D Macmillan, J R Maddison, I O Ellis.   

Abstract

AIM: A better understanding of the biology of nodal metastatic disease is of indisputable value. Three-dimensional (3D) serial section alignment and reconstruction techniques can be used for visualisation of nodal metastasis and could provide better understanding of disease growth patterns.
METHODS: 19 tumour-involved sentinel nodes (SLNs) from breast cancer patients were serially sectioned, immunohistochemically stained, and digitally scanned. Digital image alignment and voxel-based rendering was used to construct informative 3D visual representations of metastatic tumour distribution within involved nodes.
RESULTS: The 3D reconstruction technique was successful and informative. The reconstructions of all 19 SLNs enabled the metastatic tumour cells to be viewed infiltrating normal SLN tissue from all angles. Metastases were present at the afferent lymphatic pole in 17/19 cases, confined to the afferent pole only in 7 cases, located at the efferent pole in 12/19 cases, and efferent pole only in just 2 cases. Finally, this study made the novel observation that metastatic growth occurs in three distinct patterns: sinusoidal, nodular and diffuse.
CONCLUSIONS: This methodology provides improved understanding of metastatic disease development and potentially could be used to develop strategies to improve techniques for its routine detection. Further studies are required in order to evaluate the prognostic and biological significance of the growth patterns identified.

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Year:  2009        PMID: 19304588     DOI: 10.1136/jcp.2009.065219

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  6 in total

1.  Contextual analysis of immunological response through whole-organ fluorescent imaging.

Authors:  Matthew C Woodruff; Caroline N Herndon; B A Heesters; Michael C Carroll
Journal:  Lymphat Res Biol       Date:  2013-09       Impact factor: 2.589

2.  Automated reconstruction algorithm for identification of 3D architectures of cribriform ductal carcinoma in situ.

Authors:  Kerri-Ann Norton; Sameera Namazi; Nicola Barnard; Mariko Fujibayashi; Gyan Bhanot; Shridar Ganesan; Hitoshi Iyatomi; Koichi Ogawa; Troy Shinbrot
Journal:  PLoS One       Date:  2012-09-06       Impact factor: 3.240

3.  Patterns of cellular distribution with the sentinel node positive for breast cancer.

Authors:  Ekaterini Tsiapali; Marcia M Schmidt; Don Dizon; Margaret Steinhoff; Jennifer Gass
Journal:  Int J Breast Cancer       Date:  2011-09-08

4.  3-dimensional digital reconstruction of the murine coronary system for the evaluation of chronic allograft vasculopathy.

Authors:  László Fónyad; Kazunobu Shinoda; Evan A Farkash; Martin Groher; Divya P Sebastian; A Marcell Szász; Robert B Colvin; Yukako Yagi
Journal:  Diagn Pathol       Date:  2015-03-28       Impact factor: 2.644

5.  Comparative analysis of tissue reconstruction algorithms for 3D histology.

Authors:  Kimmo Kartasalo; Leena Latonen; Jorma Vihinen; Tapio Visakorpi; Matti Nykter; Pekka Ruusuvuori
Journal:  Bioinformatics       Date:  2018-09-01       Impact factor: 6.937

6.  Three-dimensional Imaging and Scanning: Current and Future Applications for Pathology.

Authors:  Navid Farahani; Alex Braun; Dylan Jutt; Todd Huffman; Nick Reder; Zheng Liu; Yukako Yagi; Liron Pantanowitz
Journal:  J Pathol Inform       Date:  2017-09-07
  6 in total

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