Evidence map›Paper›PMID 28697233›Full record

ArticleJournal of biomedical optics2017

Handheld optical coherence tomography-reflectance confocal microscopy probe for detection of basal cell carcinoma and delineation of margins.

Nicusor Iftimia, Oriol Yélamos, Chih-Shan J Chen, Gopi Maguluri, Miguel A Cordova, Aditi Sahu, Jesung Park, William Fox, Christi Alessi-Fox, Milind Rajadhyaksha

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Advanced Microscopy Techniques.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
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  7. Self-supervised denoising of Nyquist-sampled volumetric images via deep learning.Journal of medical imaging (Bellingham, Wash.) · 2023
    Article
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  19. Observational
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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

10 authors at 4 institutions in 2 countries.

Nicusor IftimiaPhysical Sciences, Inc., Andover, Massachusetts, United States.
Oriol YélamosMemorial Sloan Kettering Cancer Center, Dermatology Service, Department of Medicine, New York, United StatescUniversitat de Barcelona, Dermatology Department, Hospital Clínic, Barcelona, Spain.
Chih-Shan J ChenMemorial Sloan Kettering Cancer Center, Dermatology Service, Department of Medicine, New York, United States.
Gopi MaguluriPhysical Sciences, Inc., Andover, Massachusetts, United States.
Miguel A CordovaMemorial Sloan Kettering Cancer Center, Dermatology Service, Department of Medicine, New York, United States.
Aditi SahuMemorial Sloan Kettering Cancer Center, Dermatology Service, Department of Medicine, New York, United States.
Jesung ParkPhysical Sciences, Inc., Andover, Massachusetts, United States.
William FoxCaliber I.D., Rochester, New York, United States.
Christi Alessi-FoxCaliber I.D., Rochester, New York, United States.
Milind RajadhyakshaMemorial Sloan Kettering Cancer Center, Dermatology Service, Department of Medicine, New York, United States.
Memorial Sloan Kettering Cancer Center · USPhysical Sciences (United States) · USCaliber Imaging and Diagnostics (United States) · USUniversitat de Barcelona · ES

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Peri-operative confocal imaging-guided laser ablation of basal cell carcinomasR01EB020029 · NIBIB · SLOAN-KETTERING INST CAN RESEARCH · PI RAJADHYAKSHA, MILIND · 2015 to 2018
$2.2M
Multimodal microscope for intraoperative assessment of breast surgical marginsR44CA173998 · NCI · PHYSICAL SCIENCES, INC · PI IFTIMIA, NICUSOR · 2017 to 2018
$1.1M
Hand-held RCM/OCT probe for skin cancer laser therapy guidanceR44CA162561 · NCI · PHYSICAL SCIENCES, INC · PI IFTIMIA, NICUSOR · 2015 to 2016
$967k
NCI NIH HHS P30 CA008748NCI NIH HHS R44 CA162561NCI NIH HHS R44 CA173998NIBIB NIH HHS R01 EB020029
6 · The paper itself

Abstract

We present a hand-held implementation and preliminary evaluation of a combined optical coherence tomography (OCT) and reflectance confocal microscopy (RCM) probe for detecting and delineating the margins of basal cell carcinomas (BCCs) in human skin <italic<in vivo</italic<. A standard OCT approach (spectrometer-based) with a central wavelength of 1310 nm and 0.11 numerical aperture (NA) was combined with a standard RCM approach (830-nm wavelength and 0.9 NA) into a common path hand-held probe. Cross-sectional OCT images and enface RCM images are simultaneously displayed, allowing for three-dimensional microscopic assessment of tumor morphology in real time. Depending on the subtype and depth of the BCC tumor and surrounding skin conditions, OCT and RCM imaging are able to complement each other, the strengths of each helping overcome the limitations of the other. Four representative cases are summarized, out of the 15 investigated in a preliminary pilot study, demonstrating how OCT and RCM imaging may be synergistically combined to more accurately detect BCCs and more completely delineate margins. Our preliminary results highlight the potential benefits of combining the two technologies within a single probe to potentially guide diagnosis as well as treatment of BCCs.

Indexed as

Microscopy, ConfocalTomography, Optical CoherenceBasal Cell CarcinomaCross-Sectional StudiesHumansPilot Projects

Identifiers

PMID28697233
PMCPMC5995139
OpenAlexW2736038736

What OpenQuestion holds

Textmetadata
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.