Evidence map›Paper›PMID 25313045›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Assessment of breast pathologies using nonlinear microscopy.

Yuankai K Tao, Dejun Shen, Yuri Sheikine, Osman O Ahsen, Helen H Wang, Daniel B Schmolze, Nicole B Johnson, Jeffrey S Brooker, Alex E Cable, James L Connolly and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed
15.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

116 citing papers in PubMed, 213 citations in OpenAlex.

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  12. Rapid examination of lung tissues by nonlinear microscopy.American journal of clinical pathology · 2024
    Article
  13. Article
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  15. Article
  16. Virtual Staining of Nonfixed Tissue Histology.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2024
    Review
  17. Current Landscape of Advanced Imaging Tools for Pathology Diagnostics.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2024
    Review
  18. Review
  19. Article
  20. Article

56 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Yuankai K TaoDepartment of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139;
Dejun ShenDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215;
Yuri SheikineDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215;
Osman O AhsenDepartment of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139;
Helen H WangDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215;
Daniel B SchmolzeDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215;
Nicole B JohnsonDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215;
Jeffrey S BrookerImaging Systems, Thorlabs, Inc., Sterling, VA 20166; and.
Alex E CableAdvanced Imaging Group, Thorlabs, Inc., Newton, NJ 07860.
James L ConnollyDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215;
James G FujimotoDepartment of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139; jgfuji@mit.edu.
Beth Israel Deaconess Medical Center · USHarvard University · USMassachusetts Institute of Technology · USThorlabs (United States) · US

Funding

OPTICAL BIOPSY USING OPTICAL COHERENCE TOMOGRAPHYR01CA075289 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FUJIMOTO, JAMES G, MASHIMO, HIROSHI · 1997 to 2018
$4.8M
Intraoperative real time breast cancer margin assessment with nonlinear microscopR01CA178636 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CONNOLLY, JAMES, FUJIMOTO, JAMES G · 2013 to 2018
$1.7M
Wavefront Corrected Multimodal Optical Coherence and Two-Photon Microscopy for RaF32CA165484 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI TAO, YUANKAI KENNY · 2011 to 2012
$71k
NCI NIH HHS F32 CA165484NCI NIH HHS F32-CA165484NCI NIH HHS R01 CA075289NCI NIH HHS R01 CA178636NCI NIH HHS R01-CA178636-01NCI NIH HHS R01-CA75289-16
6 · The paper itself

Abstract

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.

Indexed as

Nonlinear DynamicsBreastBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingFemaleHumansMicroscopyNeoplasm InvasivenessSensitivity and Specificitybreast cancerimagingnonlinear microscopypathology

Identifiers

PMID25313045
PMCPMC4217415
OpenAlexW2149273372

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.