Evidence map›Paper›PMID 33436684›Full record

ArticleScientific reports2021

Evaluation of wavelength ranges and tissue depth probed by diffuse reflectance spectroscopy for colorectal cancer detection.

Marcelo Saito Nogueira, Siddra Maryam, Michael Amissah, Huihui Lu, Noel Lynch, Shane Killeen, Micheal O'Riordain, Stefan Andersson-Engels

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 70 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

8 authors at 2 institutions in 1 country.

Marcelo Saito NogueiraTyndall National Institute, Lee Maltings, Dyke Parade, Cork, Ireland. marcelosaitonogueira@gmail.com.
Siddra MaryamTyndall National Institute, Lee Maltings, Dyke Parade, Cork, Ireland.
Michael AmissahTyndall National Institute, Lee Maltings, Dyke Parade, Cork, Ireland.
Huihui LuTyndall National Institute, Lee Maltings, Dyke Parade, Cork, Ireland.
Noel LynchDepartment of Surgery, Mercy University Hospital, Cork, Ireland.
Shane KilleenDepartment of Surgery, Mercy University Hospital, Cork, Ireland.
Micheal O'RiordainDepartment of Surgery, Mercy University Hospital, Cork, Ireland.
Stefan Andersson-EngelsTyndall National Institute, Lee Maltings, Dyke Parade, Cork, Ireland.
Mercy University Hospital · IEUniversity College Cork · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most common type of cancer worldwide and the second most deadly. Recent research efforts have focused on developing non-invasive techniques for CRC detection. In this study, we evaluated the diagnostic capabilities of diffuse reflectance spectroscopy (DRS) for CRC detection by building 6 classification models based on support vector machines (SVMs). Our dataset consists of 2889 diffuse reflectance spectra collected from freshly excised ex vivo tissues of 47 patients over wavelengths ranging from 350 and 1919 nm with source-detector distances of 630-µm and 2500-µm to probe different depths. Quadratic SVMs were used and performance was evaluated using twofold cross-validation on 10 iterations of randomized training and test sets. We achieved (93.5 ± 2.4)% sensitivity, (94.0 ± 1.7)% specificity AUC by probing the superficial colorectal tissue and (96.1 ± 1.8)% sensitivity, (95.7 ± 0.6)% specificity AUC by sampling deeper tissue layers. To the best of our knowledge, this is the first DRS study to investigate the potential of probing deeper tissue layers using larger SDD probes for CRC detection in the luminal wall. The data analysis showed that using a broader spectrum and longer near-infrared wavelengths can improve the diagnostic accuracy of CRC as well as probing deeper tissue layers.

Indexed as

AlgorithmsSupport Vector MachineAdultAgedAged, 80 and overColorectal NeoplasmsDiscriminant AnalysisFemaleHumansMaleMiddle AgedSpectrophotometry

Identifiers

PMID33436684
PMCPMC7804163
OpenAlexW3119385817

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.