Evidence map›Paper›PMID 29739969›Full record

Trial reportScientific reports2018

Detection of cervical lymph node metastasis from oral cavity cancer using a non-radiating, noninvasive digital infrared thermal imaging system.

Fan Dong, Chuansibo Tao, Ji Wu, Ying Su, Yuguang Wang, Yong Wang, Chuanbin Guo, Peijun Lyu

Erratum issuedAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Infrared thermography in clinical practice: a literature review.European journal of medical research · 2025
    Review
  5. Article
  6. Article
  7. Ultrasound Characteristics of Metastatic Occult Cervical Lymph Nodes in Early Tongue Cancer.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2023
    Article
  8. Article
  9. Portable, handheld, and affordable blood perfusion imager for screening of subsurface cancer in resource-limited settings.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Fan DongNational Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, P. R. China.
Chuansibo TaoDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, P. R. China.
Ji WuTsinghua-Rohm Electronic Engineering Hall 8-301, Tsinghua University, Beijing, 100084, P. R. China.
Ying SuTsinghua-Rohm Electronic Engineering Hall 8-301, Tsinghua University, Beijing, 100084, P. R. China.
Yuguang WangNational Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, P. R. China.
Yong WangNational Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, P. R. China.
Chuanbin GuoNational Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, P. R. China. guodazuo@sina.com.
Peijun LyuNational Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, P. R. China. kqlpj@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the diagnostic performance of a non-radiating, noninvasive infrared (IR) thermal imaging system in the detection of cervical lymph node metastasis from oral cavity cancer. In this prospective clinical trial, a total of 90 oral cavity cancer patients suspected of having cervical lymph node metastasis underwent IR imaging of the neck prior to neck dissection. Analysis of the IR images was performed by two methods: manual qualitative analysis and automatic analysis by an entropy-gradient support vector machine (EGSVM). The efficacies of the EGSVM-based infrared thermal imaging system and contrast-enhanced computed tomography (CT) were compared by using the Noninferiority Testing. Compared with manual qualitative analysis, the EGSVM-based automatic analysis had a higher sensitivity (84.8% vs. 71.7%), specificity (77.3% vs. 72.7%), accuracy (81.1% vs. 72.2%), positive predictive value (79.6% vs. 73.3%) and negative predictive value (82.9% vs. 71.1%). The EGSVM-based infrared thermal imaging system was noninferior to contrast-enhanced CT (P < 0.05). The EGSVM-based infrared thermal imaging system showed a trend of higher sensitivity, whereas contrast-enhanced CT showed a trend of higher specificity. The EGSVM-based infrared thermal imaging system is a promising non-radiating, noninvasive tool for the detection of lymph node metastasis from oral cavity cancer.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Squamous CellEntropyFemaleHumansInfrared RaysLymphatic MetastasisLymph NodesMaleMiddle AgedMouthMouth NeoplasmsNeckOptical Imaging

Identifiers

PMID29739969
PMCPMC5940875

What OpenQuestion holds

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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.