Evidence map›Paper›PMID 39192293›Full record

ArticleBMC oral health2024

Discrimination of healthy oral tissue from oral cancer based on the mean grey value determined by optical coherence tomography.

Kangwei Zhou, Kaili Zheng, Li Huang, Xianglong Zheng, Canyang Jiang, Jianping Huang, Rihui Wang, Xin Ruan, Weicai Jiang, Wen Li and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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

12 authors.

Kangwei Zhou *Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Kaili Zheng *State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Organ Transplantation Institute Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China.
Li Huang *Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Xianglong ZhengDepartment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Canyang JiangDepartment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Jianping HuangDepartment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Rihui WangDepartment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Xin RuanDepartment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Weicai JiangDepartment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Wen LiDepartment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Qingliang ZhaoState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Organ Transplantation Institute Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China. drzhaoqingliang@yeah.net.
Lisong LinDepartment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China. drlinls@yeah.net.

Funding

Joint Funds for the Innovation of Science and Technology of Fujian province 2019Y9128
6 · The paper itself

Abstract

objectiveThis study aimed to identify a quantitative index for optical coherence tomography (OCT) images to discriminate tumours from surrounding tissues. SUBJECTS AND

methodsBased on OCT measurements, mean grey values were determined from 432 locations on fifty-four human tissue specimens (eighteen cancerous, para-cancerous, and normal tissues each). These results were histologically evaluated by hematoxylin and eosin staining (H&E).

resultsThe mean grey values of oral squamous cell carcinoma (OSCC) measurements were significantly different from those of the surrounding healthy tissue (p value < 0.0001), with the former being higher. The sensitivity and specificity of detecting tumourous tissue using this approach were 93 and 94%, respectively.

conclusionsOCT as a non-invasive, real-time imaging method, correlates well with H&E pathological images. It can effectively distinguish squamous cell carcinoma from normal tissues with high sensitivity and specificity and is thus expected to assist and guide tumour margin evaluation. CLINICAL RELEVANCE: This discovery highlights the potential of OCT in the objective evaluation of tumour margin during surgery.

Indexed as

Carcinoma, Squamous CellMouth NeoplasmsSensitivity and SpecificityTomography, Optical CoherenceHumansMouth MucosaDiscriminationMean grey valueOptical coherence tomographyOral squamous cell carcinoma

Identifiers

PMID39192293
PMCPMC11348578

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.