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Detection of breast cancer lymph node metastases in frozen sections with a point-of care low-cost microscope scanner

Holmstrom, Oscar (author)
Univ Helsinki, Inst Mol Med Finland FIMM, Helsinki, Finland
Linder, Nina (author)
Uppsala universitet,Internationell barnhälsa och nutrition,Univ Helsinki, Inst Mol Med Finland FIMM, Helsinki, Finland
Moilanen, Hannu (author)
Univ Oulu, Ctr Microscopy & Nanotechnol, Oulu, Finland
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Suutala, Antti (author)
Univ Helsinki, Inst Mol Med Finland FIMM, Helsinki, Finland
Nordling, Stig (author)
Univ Helsinki, Dept Pathol, Helsinki, Finland
Stahls, Anders (author)
Helsinki Univ Hosp, Helsinki, Finland;HUSLAB Pathol Lab, Helsinki, Finland
Lundin, Mikael (author)
Univ Helsinki, Inst Mol Med Finland FIMM, Helsinki, Finland
Diwan, Vinod (author)
Karolinska Institutet
Lundin, Johan (author)
Karolinska Institutet
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 (creator_code:org_t)
2019-03-19
2019
English.
In: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 14:3
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Background Detection of lymph node metastases is essential in breast cancer diagnostics and staging, affecting treatment and prognosis. lntraoperative microscopy analysis of sentinel lymph node frozen sections is standard for detection of axillary metastases but requires access to a pathologist for sample analysis. Remote analysis of digitized samples is an alternative solution but is limited by the requirement for high-end slide scanning equipment.Objective To determine whether the image quality achievable with a low-cost, miniature digital microscope scanner is sufficient for detection of metastases in breast cancer lymph node frozen sections.Methods Lymph node frozen sections from 79 breast cancer patients were digitized using a prototype miniature microscope scanner and a high-end slide scanner. Images were independently reviewed by two pathologists and results compared between devices with conventional light microscopy analysis as ground truth.Results Detection of metastases in the images acquired with the miniature scanner yielded an overall sensitivity of 91% and specificity of 99% and showed strong agreement when compared to light microscopy (k = 0.91). Strong agreement was also observed when results were compared to results from the high-end slide scanner (k = 0.94). A majority of discrepant cases were micrometastases and sections of which no anticytokeratin staining was available.ConclusionAccuracy of detection of metastatic cells in breast cancer sentinel lymph node frozen sections by visual analysis of samples digitized using low-cost, point-of-care microscopy is comparable to analysis of digital samples scanned using a high-end, whole slide scanner. This technique could potentially provide a workflow for digital diagnostics in resource-limited settings, facilitate sample analysis at the point-of-care and reduce the need for trained experts on-site during surgical procedures.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

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