Evidence map›Paper›PMID 38404330›Full record

ArticleBiomedical optics express2024

Rapid clearing and imaging of Mohs and melanoma surgical margins using a low-cost tissue processor.

Chi Z Huang, Jenna E Montague, Vincent D Ching-Roa, Michael G Drage, Sherrif F Ibrahim, Michael G Giacomelli

Abstract read
In one paragraph

Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

6 authors.

Chi Z HuangDepartment of Biomedical Engineering, University of Rochester, 207 Goergen Hall, Box 270168, Rochester, NY 14627, USA.ORCID https://orcid.org/0009-0002-5555-1232
Jenna E MontagueWyant College of Optical Sciences, University of Arizona, 1630 E University Blvd, Tucson, AZ, 85719, USA.ORCID https://orcid.org/0000-0001-6536-1016
Vincent D Ching-RoaDepartment of Biomedical Engineering, University of Rochester, 207 Goergen Hall, Box 270168, Rochester, NY 14627, USA.ORCID https://orcid.org/0000-0003-3836-534X
Michael G DrageDepartment of Pathology, Mass General Brigham, 399 Revolution Drive, Somerville, MA 02145, USA.
Sherrif F IbrahimRochester Dermatologic Surgery, PC, 7400 Pittsford Victor Rd Suite A, Victor, NY 14564, USA.
Michael G GiacomelliDepartment of Biomedical Engineering, University of Rochester, 207 Goergen Hall, Box 270168, Rochester, NY 14627, USA.ORCID https://orcid.org/0000-0002-2570-0770

Funding

Two photon fluorescence microscopy for dermatologic surgery and biopsyR37CA258376 · NCI · UNIVERSITY OF ROCHESTER · PI Michael Gene Giacomelli · 2021 to 2026
$2.0M
Two photon microscopy and optical clearing for volumetric imaging of melanoma surgical marginsR21EB032839 · NIBIB · UNIVERSITY OF ROCHESTER · PI GIACOMELLI, MICHAEL GENE · 2022 to 2023
$364k
NCI NIH HHS R37 CA258376NIBIB NIH HHS R21 EB032839
6 · The paper itself

Abstract

Tissue clearing methods render biological tissues transparent while maintaining tissue structure, enabling visualization of entire tissues. Recent developments in tissue clearing have predominantly emphasized preserving intrinsic fluorescent proteins or aqueous-based tissue clearing and so typically involve complex procedures and long processing times. The utilization of tissue clearing protocols in standard of care histology settings has been less well explored, and protocols for rapid clearing of human tissue specimens are limited. This study presents a novel rapid clearing protocol and demonstrates a low-cost tissue processor for high volume rapid tissue clearing that can be intergraded into standard histology workflow. We demonstrate rapid clearing in dermatological specimens, including both nonmelanoma and melanoma excisions.

Identifiers

PMID38404330
PMCPMC10890881

What OpenQuestion holds

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Registered trials

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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.