Evidence map›Paper›PMID 29540700›Full record

ArticleScientific reports2018

Rapid histopathological imaging of skin and breast cancer surgical specimens using immersion microscopy with ultraviolet surface excitation.

Tadayuki Yoshitake, Michael G Giacomelli, Liza M Quintana, Hilde Vardeh, Lucas C Cahill, Beverly E Faulkner-Jones, James L Connolly, Daihung Do, James G Fujimoto

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

57 citing papers in PubMed, 84 citations in OpenAlex.

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  9. Single color digital H&E staining with In-and-Out Net.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2024
    Article
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  15. 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
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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

9 authors at 2 institutions in 1 country.

Tadayuki YoshitakeMassachusetts Institute of Technology, Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, 32 Vassar Street, Cambridge, MA, 02139, USA.ORCID 0000-0003-4156-6484
Michael G GiacomelliMassachusetts Institute of Technology, Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, 32 Vassar Street, Cambridge, MA, 02139, USA.ORCID 0000-0002-2570-0770
Liza M QuintanaHarvard Medical School, Department of Pathology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA.
Hilde VardehHarvard Medical School, Department of Pathology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA.
Lucas C CahillMassachusetts Institute of Technology, Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, 32 Vassar Street, Cambridge, MA, 02139, USA.
Beverly E Faulkner-JonesHarvard Medical School, Department of Pathology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA.
James L ConnollyHarvard Medical School, Department of Pathology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA.
Daihung DoHarvard Medical School, Department of Dermatology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA.
James G FujimotoMassachusetts Institute of Technology, Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, 32 Vassar Street, Cambridge, MA, 02139, USA. jgfuji@mit.edu.
Beth Israel Deaconess Medical Center · USVassar College · 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
Two-Photon Fluorescence Lifetime Microscopy for Breast and Thyroid Cancer MarginF32CA183400 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GIACOMELLI, MICHAEL GENE · 2014 to 2016
$164k
NCI NIH HHS F32 CA183400NCI NIH HHS R01 CA075289NCI NIH HHS R01 CA178636
6 · The paper itself

Abstract

Rapid histopathological evaluation of fresh, unfixed human tissue using optical sectioning microscopy would have applications to intraoperative surgical margin assessment. Microscopy with ultraviolet surface excitation (MUSE) is a low-cost optical sectioning technique using ultraviolet illumination which limits fluorescence excitation to the specimen surface. In this paper, we characterize MUSE using high incident angle, water immersion illumination to improve sectioning. Propidium iodide is used as a nuclear stain and eosin yellow as a counterstain. Histologic features of specimens using MUSE, nonlinear microscopy (NLM) and conventional hematoxylin and eosin (H&E) histology were evaluated by pathologists to assess potential application in Mohs surgery for skin cancer and lumpectomy for breast cancer. MUSE images of basal cell carcinoma showed high correspondence with frozen section H&E histology, suggesting that MUSE may be applicable to Mohs surgery. However, correspondence in breast tissue between MUSE and paraffin embedded H&E histology was limited due to the thicker optical sectioning in MUSE, suggesting that further development is needed for breast surgical applications. We further demonstrate that the transverse image resolution of MUSE is limited by the optical sectioning thickness and use co-registered NLM to quantify the improvement in MUSE optical sectioning from high incident angle water immersion illumination.

Indexed as

Breast NeoplasmsEquipment DesignFemaleHistological TechniquesHumansImage Processing, Computer-AssistedImmunohistochemistryMicroscopy, UltravioletSkin Neoplasms

Identifiers

PMID29540700
PMCPMC5852098
OpenAlexW2789432356

What OpenQuestion holds

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LicenceCC BY
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.