Evidence map›Paper›PMID 31010617›Full record

ArticleOral oncology2019

Intra-operative point-of-procedure delineation of oral cancer margins using optical coherence tomography.

Sumsum P Sunny, Sagar Agarwal, Bonney Lee James, Emon Heidari, Anjana Muralidharan, Vishal Yadav, Vijay Pillai, Vivek Shetty, Zhongping Chen, Naveen Hedne and 3 more

Abstract read
In one paragraph

Article in Oral oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  16. A Prospective Double-Blinded Comparison of Reflectance Confocal Microscopy with Conventional Histopathology for In Vivo Assessment in Oral Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
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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

13 authors.

Sumsum P SunnyHead and Neck Oncology, Mazumdar Shaw Medical Centre, NH Health City, Bangalore, India; Integrated Head and Neck Oncology Program (DSRG-5), Mazumdar Shaw Medical Foundation, NH Health City, Bangalore, India.
Sagar AgarwalHead and Neck Oncology, Mazumdar Shaw Medical Centre, NH Health City, Bangalore, India.
Bonney Lee JamesIntegrated Head and Neck Oncology Program (DSRG-5), Mazumdar Shaw Medical Foundation, NH Health City, Bangalore, India.
Emon HeidariBeckman Laser Institute, UCI, Irvine, USA.
Anjana MuralidharanIntegrated Head and Neck Oncology Program (DSRG-5), Mazumdar Shaw Medical Foundation, NH Health City, Bangalore, India.
Vishal YadavHead and Neck Oncology, Mazumdar Shaw Medical Centre, NH Health City, Bangalore, India.
Vijay PillaiHead and Neck Oncology, Mazumdar Shaw Medical Centre, NH Health City, Bangalore, India.
Vivek ShettyHead and Neck Oncology, Mazumdar Shaw Medical Centre, NH Health City, Bangalore, India.
Zhongping ChenBeckman Laser Institute, UCI, Irvine, USA.
Naveen HedneHead and Neck Oncology, Mazumdar Shaw Medical Centre, NH Health City, Bangalore, India.
Petra Wilder-SmithBeckman Laser Institute, UCI, Irvine, USA.
Amritha SureshHead and Neck Oncology, Mazumdar Shaw Medical Centre, NH Health City, Bangalore, India; Integrated Head and Neck Oncology Program (DSRG-5), Mazumdar Shaw Medical Foundation, NH Health City, Bangalore, India.
Moni Abraham KuriakoseHead and Neck Oncology, Mazumdar Shaw Medical Centre, NH Health City, Bangalore, India; Integrated Head and Neck Oncology Program (DSRG-5), Mazumdar Shaw Medical Foundation, NH Health City, Bangalore, India. Electronic address: makuriakose@gmail.com.

Funding

Virtual Photonocs TechnologiesP41EB015890 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI DURKIN, ANTHONY · 2012 to 2017
$7.0M
NIBIB NIH HHS P41 EB015890
6 · The paper itself

Abstract

objectivesSurgical margin status is a significant determinant of treatment outcome in oral cancer. Negative surgical margins can decrease the loco-regional recurrence by five-fold. The current standard of care of intraoperative clinical examination supplemented by histological frozen section, can result in a risk of positive margins from 5 to 17 percent. In this study, we attempted to assess the utility of intraoperative optical coherence tomography (OCT) imaging with automated diagnostic algorithm to improve on the current method of clinical evaluation of surgical margin in oral cancer. MATERIALS AND

methodsWe have used a modified handheld OCT device with automated algorithm based diagnostic platform for imaging. Intraoperatively, images of 125 sites were captured from multiple zones around the tumor of oral cancer patients (n = 14) and compared with the clinical and pathologic diagnosis.

resultsOCT showed sensitivity and specificity of 100%, equivalent to histological diagnosis (kappa, ĸ = 0.922), in detection of malignancy within tumor and tumor margin areas. In comparison, for dysplastic lesions, OCT-based detection showed a sensitivity of 92.5% and specificity of 68.8% and a moderate concordance with histopathology diagnosis (ĸ = 0.59). Additionally, the OCT scores could significantly differentiate squamous cell carcinoma (SCC) from dysplastic lesions (mild/moderate/severe; p ≤ 0.005) as well as the latter from the non-dysplastic lesions (p ≤ 0.05).

conclusionThe current challenges associated with clinical examination-based margin assessment could be improved with intra-operative OCT imaging. OCT is capable of identifying microscopic tumor at the surgical margins and demonstrated the feasibility of mapping of field cancerization around the tumor.

Indexed as

Intraoperative CareMargins of ExcisionPoint-of-Care TestingTomography, Optical CoherenceAdultAgedAlgorithmsBiopsyClinical Decision-MakingDisease ManagementFemaleHumansMaleMiddle AgedMouth NeoplasmsNeoplasm GradingDysplasiaField cancerizationOptical coherence tomographyOral cancerTumor margin

Identifiers

PMID31010617
PMCPMC6954689

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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.