Evidence map›Paper›PMID 36011042›Full record

ArticleCancers2022

Design and Validation of a Handheld Optical Polarization Imager for Preoperative Delineation of Basal Cell Carcinoma.

Peter R Jermain, Tyler W Iorizzo, Mary Maloney, Bassel Mahmoud, Anna N Yaroslavsky

Abstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Peter R JermainAdvanced Biophotonics Laboratory, University of Massachusetts Lowell, Lowell, MA 01854, USA.ORCID 0000-0002-3661-8254
Tyler W IorizzoAdvanced Biophotonics Laboratory, University of Massachusetts Lowell, Lowell, MA 01854, USA.
Mary MaloneyDepartment of Dermatology, University of Massachusetts Memorial Medical Center, Worcester, MA 01605, USA.
Bassel MahmoudDepartment of Dermatology, University of Massachusetts Memorial Medical Center, Worcester, MA 01605, USA.ORCID 0000-0002-3854-2070
Anna N YaroslavskyAdvanced Biophotonics Laboratory, University of Massachusetts Lowell, Lowell, MA 01854, USA.ORCID 0000-0001-7914-2324

Funding

Massachusetts Technology Transfer Center Acorn Innovation Fund n/aUniversity of Massachusetts Center for Clinical and Translational Science n/a
6 · The paper itself

Abstract

backgroundAccurate removal of basal cell carcinoma (BCC) is challenging due to the subtle contrast between cancerous and normal skin. A method aiding with preoperative delineation of BCC margins would be valuable. The aim of this study was to implement and clinically validate a novel handheld optical polarization imaging (OPI) device for rapid, noninvasive, in vivo assessment of skin cancer margins.

methodsThe handheld imager was designed, built, and tested. For clinical validation, 10 subjects with biopsy-confirmed BCC were imaged. Presumable cancer margins were marked by the study surgeon. The optical images were spectrally encoded to mitigate the impact of endogenous skin chromophores. The results of OPI and of the surgeon's preoperative visual assessment were compared to clinical intraoperative histopathology.

resultsAs compared to the previous prototype, the handheld imager incorporates automated image processing and has 10-times shorter acquisition times. It is twice as light and provides twice as large a field of view. Clinical validation demonstrated that margin assessments using OPI were more accurate than visual assessment by the surgeon. The images were in good correlation with histology in 9 out of 10 cases.

conclusionsHandheld OPI could improve the outcomes of skin cancer treatments without impairing clinical workflows.

Indexed as

basal cell carcinomanonmelanoma skin canceroptical imagingpolarization

Identifiers

PMID36011042
PMCPMC9406425

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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.