New optical method promises faster, more accurate diagnosis of breast cancer

New optical method promises faster, more accurate diagnosis of breast cancer
Figure 3 from a new article in the Journal of Biomedical Optics compares stained bright-field microscopy (top row) and SLIM (bottom row) images in their respective abilities to show malignant and benign. The images were obtained from adjacent sections. Color bars are in radians. Credit: Hassaan Majeed, Univ. of Illinois, et al./SPIE

A new optical method for more quickly and accurately determining whether breast tissue lesions are cancerous is described by University of Illinois researchers in the Journal of Biomedical Optics, published by SPIE, the international society for optics and photonics.

In "Breast cancer diagnosis using spatial light interference microscopy," published 20 August, University of Illinois at Urbana-Champaign and Chicago researchers Hassaan Majeed, Mikhail Kandel, Kevin Han, Zelun Luo, Virgilia Macias, Krishnarao Tangella, Andre Balla, and Gabriel Popescu report on a quantitative method for diagnosing using spatial light interference microscopy (SLIM).

Because this method is based on quantitative data rather than a subjective assessment, the researchers expect that these preliminary results show the potential of their technique to become the basis for an automated image analysis system that would provide a fast and accurate diagnostic method.

"Conventional methods for diagnosis of breast cancer have several limitations, including observer discrepancy," said YongKeun Park, a professor at KAIST and a guest editor of the special section on Quantitative Phase Imaging in Biomedicine in which the article appears.

When an abnormality in the breast is discovered, standard practice is for the physician to take a tissue biopsy, which is then stained to provide enough contrast for a pathologist to study key features of the tissue under a microscope. The tissue analysis is done manually. Due to variations such as staining intensity and the illumination used, the process does not lend itself to automation.

New optical method promises faster, more accurate diagnosis of breast cancer
Fig. 1 Spatial light interference microscopy (SLIM) optical setup. The phase is retrieved by shifting the phase of the scattered light with respect to that of the unscattered light by using a spatial light modulator (SLM) at the Fourier plane of lens L1. Four interferograms, correponding to four different SLM phase shifts, are obtained and used to compute the phase.

Manual inspections, however, are subject to investigator bias, and the process is time-consuming. This can, in some cases, result in late diagnosis ? a critical shortcoming given that early diagnosis significantly improves chances of survival.

Using the biopsies of 400 different patients, researchers selected two parallel, adjacent sections from each biopsy. One was stained and the other left unstained.

The unstained samples were analyzed using a SLIM module attached to a commercial phase contrast microscope to generate interferograms ? photographic images derived from data based on how the refracts light.

Four interferograms were used to produce one quantitative image showing areas with different refractive properties in different colors. The boundary between tumors and the cells around them were clearly delineated, making it possible to assess whether the tumors were malignant or benign.


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More information: Journal of Biomedical Optics, DOI: 10.1117/1.JBO.20.11.111210
Journal information: Journal of Biomedical Optics

Provided by SPIE—International Society for Optics and Photonics
Citation: New optical method promises faster, more accurate diagnosis of breast cancer (2015, August 26) retrieved 26 June 2019 from https://phys.org/news/2015-08-optical-method-faster-accurate-diagnosis.html
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Aug 27, 2015
"New optical method promises faster, more accurate diagnosis of breast cancer"

I have been using this method for years. My wife does not appreciate the public service I provide. But I shall soldier on nonetheless.

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