Photon Absorption Remote Sensing Imaging of Breast Needle Core Biopsies Is Diagnostically Equivalent to Gold Standard H&E Histologic Assessment

Author:

Tweel James E. D.12ORCID,Ecclestone Benjamin R.12,Gaouda Hager12,Dinakaran Deepak2,Wallace Michael P.3,Bigras Gilbert4,Mackey John R.2,Reza Parsin Haji1

Affiliation:

1. PhotoMedicine Labs, University of Waterloo, Waterloo, ON N2L 3G1, Canada

2. Illumisonics Inc., 22 King Street South, Suite 300, Waterloo, ON N2J 1N8, Canada

3. Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada

4. Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2R3, Canada

Abstract

Photon absorption remote sensing (PARS) is a new laser-based microscope technique that permits cellular-level resolution of unstained fresh, frozen, and fixed tissues. Our objective was to determine whether PARS could provide an image quality sufficient for the diagnostic assessment of breast cancer needle core biopsies (NCB). We PARS imaged and virtually H&E stained seven independent unstained formalin-fixed paraffin-embedded breast NCB sections. These identical tissue sections were subsequently stained with standard H&E and digitally scanned. Both the 40× PARS and H&E whole-slide images were assessed by seven breast cancer pathologists, masked to the origin of the images. A concordance analysis was performed to quantify the diagnostic performances of standard H&E and PARS virtual H&E. The PARS images were deemed to be of diagnostic quality, and pathologists were unable to distinguish the image origin, above that expected by chance. The diagnostic concordance on cancer vs. benign was high between PARS and conventional H&E (98% agreement) and there was complete agreement for within-PARS images. Similarly, agreement was substantial (kappa > 0.6) for specific cancer subtypes. PARS virtual H&E inter-rater reliability was broadly consistent with the published literature on diagnostic performance of conventional histology NCBs across all tested histologic features. PARS was able to image unstained tissues slides that were diagnostically equivalent to conventional H&E. Due to its ability to non-destructively image fixed and fresh tissues, and the suitability of the PARS output for artificial intelligence assistance in diagnosis, this technology has the potential to improve the speed and accuracy of breast cancer diagnosis.

Funder

Natural Sciences and Engineering Research Council of Canada

Canada Foundation for Innovation

Mitacs Accelerate

illumiSonics Inc

University of Waterloo Startup funds

Centre for Bioengineering and Biotechnology

New frontiers in research fund—exploration

The Canadian Institutes of Health Research

Publisher

MDPI AG

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