Diagnosis of breast cancer biopsies using quantitative phase imaging

Hassaan Majeed, Mikhail E. Kandel, Kevin Han, Zelun Luo, Virgilia Macias, Krishnarao Tangella, Andre Balla, Gabriel Popescu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The standard practice in the histopathology of breast cancers is to examine a hematoxylin and eosin (H&E) stained tissue biopsy under a microscope. The pathologist looks at certain morphological features, visible under the stain, to diagnose whether a tumor is benign or malignant. This determination is made based on qualitative inspection making it subject to investigator bias. Furthermore, since this method requires a microscopic examination by the pathologist it suffers from low throughput. A quantitative, label-free and high throughput method for detection of these morphological features from images of tissue biopsies is, hence, highly desirable as it would assist the pathologist in making a quicker and more accurate diagnosis of cancers. We present here preliminary results showing the potential of using quantitative phase imaging for breast cancer screening and help with differential diagnosis. We generated optical path length maps of unstained breast tissue biopsies using Spatial Light Interference Microscopy (SLIM). As a first step towards diagnosis based on quantitative phase imaging, we carried out a qualitative evaluation of the imaging resolution and contrast of our label-free phase images. These images were shown to two pathologists who marked the tumors present in tissue as either benign or malignant. This diagnosis was then compared against the diagnosis of the two pathologists on H&E stained tissue images and the number of agreements were counted. In our experiment, the agreement between SLIM and H&E based diagnosis was measured to be 88%. Our preliminary results demonstrate the potential and promise of SLIM for a push in the future towards quantitative, label-free and high throughput diagnosis.

Original languageEnglish (US)
Title of host publicationQuantitative Phase Imaging
EditorsYongKeun Park, Gabriel Popescu
PublisherSPIE
ISBN (Electronic)9781628414264
DOIs
StatePublished - Jan 1 2015
Event1st Conference on Quantitative Phase Imaging, QPI 2015 - San Francisco, United States
Duration: Feb 7 2015Feb 10 2015

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9336
ISSN (Print)1605-7422

Other

Other1st Conference on Quantitative Phase Imaging, QPI 2015
CountryUnited States
CitySan Francisco
Period2/7/152/10/15

Fingerprint

Biopsy
breast
cancer
Breast Neoplasms
Imaging techniques
Interference Microscopy
Light interference
Tissue
Microscopic examination
Labels
Light
Throughput
microscopy
interference
Tumors
tumors
Neoplasms
Hematoxylin
Eosine Yellowish-(YS)
Early Detection of Cancer

Keywords

  • SLIM
  • breast cancer
  • cancer diagnosis
  • histopathology
  • interferometry
  • label-free imaging
  • microscopy
  • quantitative phase imaging
  • tissue microarray

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Cite this

Majeed, H., Kandel, M. E., Han, K., Luo, Z., Macias, V., Tangella, K., ... Popescu, G. (2015). Diagnosis of breast cancer biopsies using quantitative phase imaging. In Y. Park, & G. Popescu (Eds.), Quantitative Phase Imaging [93361R] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9336). SPIE. https://doi.org/10.1117/12.2080132

Diagnosis of breast cancer biopsies using quantitative phase imaging. / Majeed, Hassaan; Kandel, Mikhail E.; Han, Kevin; Luo, Zelun; Macias, Virgilia; Tangella, Krishnarao; Balla, Andre; Popescu, Gabriel.

Quantitative Phase Imaging. ed. / YongKeun Park; Gabriel Popescu. SPIE, 2015. 93361R (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9336).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Majeed, H, Kandel, ME, Han, K, Luo, Z, Macias, V, Tangella, K, Balla, A & Popescu, G 2015, Diagnosis of breast cancer biopsies using quantitative phase imaging. in Y Park & G Popescu (eds), Quantitative Phase Imaging., 93361R, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 9336, SPIE, 1st Conference on Quantitative Phase Imaging, QPI 2015, San Francisco, United States, 2/7/15. https://doi.org/10.1117/12.2080132
Majeed H, Kandel ME, Han K, Luo Z, Macias V, Tangella K et al. Diagnosis of breast cancer biopsies using quantitative phase imaging. In Park Y, Popescu G, editors, Quantitative Phase Imaging. SPIE. 2015. 93361R. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). https://doi.org/10.1117/12.2080132
Majeed, Hassaan ; Kandel, Mikhail E. ; Han, Kevin ; Luo, Zelun ; Macias, Virgilia ; Tangella, Krishnarao ; Balla, Andre ; Popescu, Gabriel. / Diagnosis of breast cancer biopsies using quantitative phase imaging. Quantitative Phase Imaging. editor / YongKeun Park ; Gabriel Popescu. SPIE, 2015. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).
@inproceedings{121abb221c6f4fb58515bf2ca8447adb,
title = "Diagnosis of breast cancer biopsies using quantitative phase imaging",
abstract = "The standard practice in the histopathology of breast cancers is to examine a hematoxylin and eosin (H&E) stained tissue biopsy under a microscope. The pathologist looks at certain morphological features, visible under the stain, to diagnose whether a tumor is benign or malignant. This determination is made based on qualitative inspection making it subject to investigator bias. Furthermore, since this method requires a microscopic examination by the pathologist it suffers from low throughput. A quantitative, label-free and high throughput method for detection of these morphological features from images of tissue biopsies is, hence, highly desirable as it would assist the pathologist in making a quicker and more accurate diagnosis of cancers. We present here preliminary results showing the potential of using quantitative phase imaging for breast cancer screening and help with differential diagnosis. We generated optical path length maps of unstained breast tissue biopsies using Spatial Light Interference Microscopy (SLIM). As a first step towards diagnosis based on quantitative phase imaging, we carried out a qualitative evaluation of the imaging resolution and contrast of our label-free phase images. These images were shown to two pathologists who marked the tumors present in tissue as either benign or malignant. This diagnosis was then compared against the diagnosis of the two pathologists on H&E stained tissue images and the number of agreements were counted. In our experiment, the agreement between SLIM and H&E based diagnosis was measured to be 88{\%}. Our preliminary results demonstrate the potential and promise of SLIM for a push in the future towards quantitative, label-free and high throughput diagnosis.",
keywords = "SLIM, breast cancer, cancer diagnosis, histopathology, interferometry, label-free imaging, microscopy, quantitative phase imaging, tissue microarray",
author = "Hassaan Majeed and Kandel, {Mikhail E.} and Kevin Han and Zelun Luo and Virgilia Macias and Krishnarao Tangella and Andre Balla and Gabriel Popescu",
year = "2015",
month = "1",
day = "1",
doi = "10.1117/12.2080132",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "YongKeun Park and Gabriel Popescu",
booktitle = "Quantitative Phase Imaging",

}

TY - GEN

T1 - Diagnosis of breast cancer biopsies using quantitative phase imaging

AU - Majeed, Hassaan

AU - Kandel, Mikhail E.

AU - Han, Kevin

AU - Luo, Zelun

AU - Macias, Virgilia

AU - Tangella, Krishnarao

AU - Balla, Andre

AU - Popescu, Gabriel

PY - 2015/1/1

Y1 - 2015/1/1

N2 - The standard practice in the histopathology of breast cancers is to examine a hematoxylin and eosin (H&E) stained tissue biopsy under a microscope. The pathologist looks at certain morphological features, visible under the stain, to diagnose whether a tumor is benign or malignant. This determination is made based on qualitative inspection making it subject to investigator bias. Furthermore, since this method requires a microscopic examination by the pathologist it suffers from low throughput. A quantitative, label-free and high throughput method for detection of these morphological features from images of tissue biopsies is, hence, highly desirable as it would assist the pathologist in making a quicker and more accurate diagnosis of cancers. We present here preliminary results showing the potential of using quantitative phase imaging for breast cancer screening and help with differential diagnosis. We generated optical path length maps of unstained breast tissue biopsies using Spatial Light Interference Microscopy (SLIM). As a first step towards diagnosis based on quantitative phase imaging, we carried out a qualitative evaluation of the imaging resolution and contrast of our label-free phase images. These images were shown to two pathologists who marked the tumors present in tissue as either benign or malignant. This diagnosis was then compared against the diagnosis of the two pathologists on H&E stained tissue images and the number of agreements were counted. In our experiment, the agreement between SLIM and H&E based diagnosis was measured to be 88%. Our preliminary results demonstrate the potential and promise of SLIM for a push in the future towards quantitative, label-free and high throughput diagnosis.

AB - The standard practice in the histopathology of breast cancers is to examine a hematoxylin and eosin (H&E) stained tissue biopsy under a microscope. The pathologist looks at certain morphological features, visible under the stain, to diagnose whether a tumor is benign or malignant. This determination is made based on qualitative inspection making it subject to investigator bias. Furthermore, since this method requires a microscopic examination by the pathologist it suffers from low throughput. A quantitative, label-free and high throughput method for detection of these morphological features from images of tissue biopsies is, hence, highly desirable as it would assist the pathologist in making a quicker and more accurate diagnosis of cancers. We present here preliminary results showing the potential of using quantitative phase imaging for breast cancer screening and help with differential diagnosis. We generated optical path length maps of unstained breast tissue biopsies using Spatial Light Interference Microscopy (SLIM). As a first step towards diagnosis based on quantitative phase imaging, we carried out a qualitative evaluation of the imaging resolution and contrast of our label-free phase images. These images were shown to two pathologists who marked the tumors present in tissue as either benign or malignant. This diagnosis was then compared against the diagnosis of the two pathologists on H&E stained tissue images and the number of agreements were counted. In our experiment, the agreement between SLIM and H&E based diagnosis was measured to be 88%. Our preliminary results demonstrate the potential and promise of SLIM for a push in the future towards quantitative, label-free and high throughput diagnosis.

KW - SLIM

KW - breast cancer

KW - cancer diagnosis

KW - histopathology

KW - interferometry

KW - label-free imaging

KW - microscopy

KW - quantitative phase imaging

KW - tissue microarray

UR - http://www.scopus.com/inward/record.url?scp=84931306897&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84931306897&partnerID=8YFLogxK

U2 - 10.1117/12.2080132

DO - 10.1117/12.2080132

M3 - Conference contribution

AN - SCOPUS:84931306897

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Quantitative Phase Imaging

A2 - Park, YongKeun

A2 - Popescu, Gabriel

PB - SPIE

ER -