Assessment of breast pathologies using nonlinear microscopy

Rapid intraoperative assessment of breast excision specimens is clinically important because up to 40% of patients undergoing breast-conserving cancer surgery require reexcision for positive or close margins. We demonstrate nonlinear microscopy (NLM) for the assessment of benign and malignant breast...

Full description

Bibliographic Details
Main Authors: Shen, D., Sheikine, Y., Wang, H. H., Schmolze, D. B., Johnson, N. B., Brooker, J. S., Cable, Alex E., Connolly, J. L., Tao, Yuankai K., Ahsen, Osman Oguz, Fujimoto, James G.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: National Academy of Sciences (U.S.) 2015
Online Access:http://hdl.handle.net/1721.1/96899
https://orcid.org/0000-0003-4811-3429
https://orcid.org/0000-0002-0828-4357
_version_ 1826201940162248704
author Shen, D.
Sheikine, Y.
Wang, H. H.
Schmolze, D. B.
Johnson, N. B.
Brooker, J. S.
Cable, Alex E.
Connolly, J. L.
Tao, Yuankai K.
Ahsen, Osman Oguz
Fujimoto, James G.
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Shen, D.
Sheikine, Y.
Wang, H. H.
Schmolze, D. B.
Johnson, N. B.
Brooker, J. S.
Cable, Alex E.
Connolly, J. L.
Tao, Yuankai K.
Ahsen, Osman Oguz
Fujimoto, James G.
author_sort Shen, D.
collection MIT
description Rapid intraoperative assessment of breast excision specimens is clinically important because up to 40% of patients undergoing breast-conserving cancer surgery require reexcision for positive or close margins. We demonstrate nonlinear microscopy (NLM) for the assessment of benign and malignant breast pathologies in fresh surgical specimens. A total of 179 specimens from 50 patients was imaged with NLM using rapid extrinsic nuclear staining with acridine orange and intrinsic second harmonic contrast generation from collagen. Imaging was performed on fresh, intact specimens without the need for fixation, embedding, and sectioning required for conventional histopathology. A visualization method to aid pathological interpretation is presented that maps NLM contrast from two-photon fluorescence and second harmonic signals to features closely resembling histopathology using hematoxylin and eosin staining. Mosaicking is used to overcome trade-offs between resolution and field of view, enabling imaging of subcellular features over square-centimeter specimens. After NLM examination, specimens were processed for standard paraffin-embedded histology using a protocol that coregistered histological sections to NLM images for paired assessment. Blinded NLM reading by three pathologists achieved 95.4% sensitivity and 93.3% specificity, compared with paraffin-embedded histology, for identifying invasive cancer and ductal carcinoma in situ versus benign breast tissue. Interobserver agreement was κ = 0.88 for NLM and κ = 0.89 for histology. These results show that NLM achieves high diagnostic accuracy, can be rapidly performed on unfixed specimens, and is a promising method for intraoperative margin assessment.
first_indexed 2024-09-23T11:59:43Z
format Article
id mit-1721.1/96899
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T11:59:43Z
publishDate 2015
publisher National Academy of Sciences (U.S.)
record_format dspace
spelling mit-1721.1/968992022-09-27T23:18:08Z Assessment of breast pathologies using nonlinear microscopy Shen, D. Sheikine, Y. Wang, H. H. Schmolze, D. B. Johnson, N. B. Brooker, J. S. Cable, Alex E. Connolly, J. L. Tao, Yuankai K. Ahsen, Osman Oguz Fujimoto, James G. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Research Laboratory of Electronics Tao, Yuankai K. Ahsen, Osman Oguz Fujimoto, James G. Rapid intraoperative assessment of breast excision specimens is clinically important because up to 40% of patients undergoing breast-conserving cancer surgery require reexcision for positive or close margins. We demonstrate nonlinear microscopy (NLM) for the assessment of benign and malignant breast pathologies in fresh surgical specimens. A total of 179 specimens from 50 patients was imaged with NLM using rapid extrinsic nuclear staining with acridine orange and intrinsic second harmonic contrast generation from collagen. Imaging was performed on fresh, intact specimens without the need for fixation, embedding, and sectioning required for conventional histopathology. A visualization method to aid pathological interpretation is presented that maps NLM contrast from two-photon fluorescence and second harmonic signals to features closely resembling histopathology using hematoxylin and eosin staining. Mosaicking is used to overcome trade-offs between resolution and field of view, enabling imaging of subcellular features over square-centimeter specimens. After NLM examination, specimens were processed for standard paraffin-embedded histology using a protocol that coregistered histological sections to NLM images for paired assessment. Blinded NLM reading by three pathologists achieved 95.4% sensitivity and 93.3% specificity, compared with paraffin-embedded histology, for identifying invasive cancer and ductal carcinoma in situ versus benign breast tissue. Interobserver agreement was κ = 0.88 for NLM and κ = 0.89 for histology. These results show that NLM achieves high diagnostic accuracy, can be rapidly performed on unfixed specimens, and is a promising method for intraoperative margin assessment. National Institutes of Health (U.S.) (Grant R01-CA178636-01) National Institutes of Health (U.S.) (Grant R01-CA75289-16) United States. Air Force Office of Scientific Research (Grant FA9550-10-1-0551) United States. Air Force Office of Scientific Research (Grant FA9550-12-1-0499) National Institutes of Health (U.S.) (National Research Service Award Postdoctoral Fellowship F32-CA165484) 2015-05-04T16:10:47Z 2015-05-04T16:10:47Z 2014-10 2014-03 Article http://purl.org/eprint/type/JournalArticle 0027-8424 1091-6490 http://hdl.handle.net/1721.1/96899 Tao, Y. K., D. Shen, Y. Sheikine, O. O. Ahsen, H. H. Wang, D. B. Schmolze, N. B. Johnson, et al. “Assessment of Breast Pathologies Using Nonlinear Microscopy.” Proceedings of the National Academy of Sciences 111, no. 43 (October 13, 2014): 15304–15309. https://orcid.org/0000-0003-4811-3429 https://orcid.org/0000-0002-0828-4357 en_US http://dx.doi.org/10.1073/pnas.1416955111 Proceedings of the National Academy of Sciences Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf National Academy of Sciences (U.S.) National Academy of Sciences (U.S.)
spellingShingle Shen, D.
Sheikine, Y.
Wang, H. H.
Schmolze, D. B.
Johnson, N. B.
Brooker, J. S.
Cable, Alex E.
Connolly, J. L.
Tao, Yuankai K.
Ahsen, Osman Oguz
Fujimoto, James G.
Assessment of breast pathologies using nonlinear microscopy
title Assessment of breast pathologies using nonlinear microscopy
title_full Assessment of breast pathologies using nonlinear microscopy
title_fullStr Assessment of breast pathologies using nonlinear microscopy
title_full_unstemmed Assessment of breast pathologies using nonlinear microscopy
title_short Assessment of breast pathologies using nonlinear microscopy
title_sort assessment of breast pathologies using nonlinear microscopy
url http://hdl.handle.net/1721.1/96899
https://orcid.org/0000-0003-4811-3429
https://orcid.org/0000-0002-0828-4357
work_keys_str_mv AT shend assessmentofbreastpathologiesusingnonlinearmicroscopy
AT sheikiney assessmentofbreastpathologiesusingnonlinearmicroscopy
AT wanghh assessmentofbreastpathologiesusingnonlinearmicroscopy
AT schmolzedb assessmentofbreastpathologiesusingnonlinearmicroscopy
AT johnsonnb assessmentofbreastpathologiesusingnonlinearmicroscopy
AT brookerjs assessmentofbreastpathologiesusingnonlinearmicroscopy
AT cablealexe assessmentofbreastpathologiesusingnonlinearmicroscopy
AT connollyjl assessmentofbreastpathologiesusingnonlinearmicroscopy
AT taoyuankaik assessmentofbreastpathologiesusingnonlinearmicroscopy
AT ahsenosmanoguz assessmentofbreastpathologiesusingnonlinearmicroscopy
AT fujimotojamesg assessmentofbreastpathologiesusingnonlinearmicroscopy