Evidence map›Paper›PMID 35106980›Full record

ArticleJournal of biomedical optics2022

Real-time tracking of a diffuse reflectance spectroscopy probe used to aid histological validation of margin assessment in upper gastrointestinal cancer resection surgery.

Ioannis Gkouzionis, Scarlet Nazarian, Michal Kawka, Ara Darzi, Nisha Patel, Christopher J Peters, Daniel S Elson

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2022. 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
1.9field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Ioannis GkouzionisImperial College London, Department of Surgery and Cancer, London, United Kingdom.
Scarlet NazarianImperial College London, Department of Surgery and Cancer, London, United Kingdom.
Michal KawkaImperial College London, Department of Surgery and Cancer, London, United Kingdom.
Ara DarziImperial College London, Department of Surgery and Cancer, London, United Kingdom.
Nisha PatelImperial College London, Department of Surgery and Cancer, London, United Kingdom.
Christopher J PetersImperial College London, Department of Surgery and Cancer, London, United Kingdom.
Daniel S ElsonImperial College London, Department of Surgery and Cancer, London, United Kingdom.
Imperial College London · GB

Funding

Cancer Research UKDepartment of Health
6 · The paper itself

Abstract

significanceDiffuse reflectance spectroscopy (DRS) allows discrimination of tissue type. Its application is limited by the inability to mark the scanned tissue and the lack of real-time measurements.

aimThis study aimed to develop a real-time tracking system to enable localization of a DRS probe to aid the classification of tumor and non-tumor tissue. APPROACH: A green-colored marker attached to the DRS probe was detected using hue-saturation-value (HSV) segmentation. A live, augmented view of tracked optical biopsy sites was recorded in real time. Supervised classifiers were evaluated in terms of sensitivity, specificity, and overall accuracy. A developed software was used for data collection, processing, and statistical analysis.

resultsThe measured root mean square error (RMSE) of DRS probe tip tracking was 1.18  ±  0.58  mm and 1.05  ±  0.28  mm for the x and y dimensions, respectively. The diagnostic accuracy of the system to classify tumor and non-tumor tissue in real time was 94% for stomach and 96% for the esophagus.

conclusionsWe have successfully developed a real-time tracking and classification system for a DRS probe. When used on stomach and esophageal tissue for tumor detection, the accuracy derived demonstrates the strength and clinical value of the technique to aid margin assessment in cancer resection surgery.

Indexed as

Gastrointestinal NeoplasmsMargins of ExcisionComputer SystemsHumansSpectrum Analysiscancerdiffuse reflectance spectroscopymachine learningmargin delineationprobe trackingtissue classification

Identifiers

PMID35106980
PMCPMC8804336
OpenAlexW4210285045

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.