Cargando…

3D Pathology Volumetric Technique: A Method for Calculating Breast Tumour Volume from Whole-Mount Serial Section Images

Tumour size, most commonly measured by maximum linear extent, remains a strong predictor of survival in breast cancer. Tumour volume, proportional to the number of tumour cells, may be a more accurate surrogate for size. We describe a novel “3D pathology volumetric technique” for lumpectomies and co...

Descripción completa

Detalles Bibliográficos
Autores principales: Clarke, G. M., Murray, M., Holloway, C. M. B., Liu, K., Zubovits, J. T., Yaffe, M. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3540737/
https://www.ncbi.nlm.nih.gov/pubmed/23320179
http://dx.doi.org/10.1155/2012/691205
_version_ 1782255250022858752
author Clarke, G. M.
Murray, M.
Holloway, C. M. B.
Liu, K.
Zubovits, J. T.
Yaffe, M. J.
author_facet Clarke, G. M.
Murray, M.
Holloway, C. M. B.
Liu, K.
Zubovits, J. T.
Yaffe, M. J.
author_sort Clarke, G. M.
collection PubMed
description Tumour size, most commonly measured by maximum linear extent, remains a strong predictor of survival in breast cancer. Tumour volume, proportional to the number of tumour cells, may be a more accurate surrogate for size. We describe a novel “3D pathology volumetric technique” for lumpectomies and compare it with 2D measurements. Volume renderings and total tumour volume are computed from digitized whole-mount serial sections using custom software tools. Results are presented for two lumpectomy specimens selected for tumour features which may challenge accurate measurement of tumour burden with conventional, sampling-based pathology: (1) an infiltrative pattern admixed with normal breast elements; (2) a localized invasive mass separated from the in situ component by benign tissue. Spatial relationships between key features (tumour foci, close or involved margins) are clearly visualized in volume renderings. Invasive tumour burden can be underestimated using conventional pathology, compared to the volumetric technique (infiltrative pattern: 30% underestimation; localized mass: 3% underestimation for invasive tumour, 44% for in situ component). Tumour volume approximated from 2D measurements (i.e., maximum linear extent), assuming elliptical geometry, was seen to overestimate volume compared to the 3D volumetric calculation (by a factor of 7x for the infiltrative pattern; 1.5x for the localized invasive mass).
format Online
Article
Text
id pubmed-3540737
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-35407372013-01-14 3D Pathology Volumetric Technique: A Method for Calculating Breast Tumour Volume from Whole-Mount Serial Section Images Clarke, G. M. Murray, M. Holloway, C. M. B. Liu, K. Zubovits, J. T. Yaffe, M. J. Int J Breast Cancer Research Article Tumour size, most commonly measured by maximum linear extent, remains a strong predictor of survival in breast cancer. Tumour volume, proportional to the number of tumour cells, may be a more accurate surrogate for size. We describe a novel “3D pathology volumetric technique” for lumpectomies and compare it with 2D measurements. Volume renderings and total tumour volume are computed from digitized whole-mount serial sections using custom software tools. Results are presented for two lumpectomy specimens selected for tumour features which may challenge accurate measurement of tumour burden with conventional, sampling-based pathology: (1) an infiltrative pattern admixed with normal breast elements; (2) a localized invasive mass separated from the in situ component by benign tissue. Spatial relationships between key features (tumour foci, close or involved margins) are clearly visualized in volume renderings. Invasive tumour burden can be underestimated using conventional pathology, compared to the volumetric technique (infiltrative pattern: 30% underestimation; localized mass: 3% underestimation for invasive tumour, 44% for in situ component). Tumour volume approximated from 2D measurements (i.e., maximum linear extent), assuming elliptical geometry, was seen to overestimate volume compared to the 3D volumetric calculation (by a factor of 7x for the infiltrative pattern; 1.5x for the localized invasive mass). Hindawi Publishing Corporation 2012 2012-12-23 /pmc/articles/PMC3540737/ /pubmed/23320179 http://dx.doi.org/10.1155/2012/691205 Text en Copyright © 2012 G. M. Clarke et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Clarke, G. M.
Murray, M.
Holloway, C. M. B.
Liu, K.
Zubovits, J. T.
Yaffe, M. J.
3D Pathology Volumetric Technique: A Method for Calculating Breast Tumour Volume from Whole-Mount Serial Section Images
title 3D Pathology Volumetric Technique: A Method for Calculating Breast Tumour Volume from Whole-Mount Serial Section Images
title_full 3D Pathology Volumetric Technique: A Method for Calculating Breast Tumour Volume from Whole-Mount Serial Section Images
title_fullStr 3D Pathology Volumetric Technique: A Method for Calculating Breast Tumour Volume from Whole-Mount Serial Section Images
title_full_unstemmed 3D Pathology Volumetric Technique: A Method for Calculating Breast Tumour Volume from Whole-Mount Serial Section Images
title_short 3D Pathology Volumetric Technique: A Method for Calculating Breast Tumour Volume from Whole-Mount Serial Section Images
title_sort 3d pathology volumetric technique: a method for calculating breast tumour volume from whole-mount serial section images
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3540737/
https://www.ncbi.nlm.nih.gov/pubmed/23320179
http://dx.doi.org/10.1155/2012/691205
work_keys_str_mv AT clarkegm 3dpathologyvolumetrictechniqueamethodforcalculatingbreasttumourvolumefromwholemountserialsectionimages
AT murraym 3dpathologyvolumetrictechniqueamethodforcalculatingbreasttumourvolumefromwholemountserialsectionimages
AT hollowaycmb 3dpathologyvolumetrictechniqueamethodforcalculatingbreasttumourvolumefromwholemountserialsectionimages
AT liuk 3dpathologyvolumetrictechniqueamethodforcalculatingbreasttumourvolumefromwholemountserialsectionimages
AT zubovitsjt 3dpathologyvolumetrictechniqueamethodforcalculatingbreasttumourvolumefromwholemountserialsectionimages
AT yaffemj 3dpathologyvolumetrictechniqueamethodforcalculatingbreasttumourvolumefromwholemountserialsectionimages