Evidence map›Paper›PMID 36135082›Full record

ReviewCurrent oncology (Toronto, Ont.)2022

PET/CT for Predicting Occult Lymph Node Metastasis in Gastric Cancer.

Danyu Ma, Ying Zhang, Xiaoliang Shao, Chen Wu, Jun Wu

Abstract readReview
In one paragraph

Review in Current oncology (Toronto, Ont.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Predictive value ofQuantitative imaging in medicine and surgery · 2025
    Article
  5. Article
  6. Article
  7. Evaluating the diagnostic value ofJapanese journal of radiology · 2025
    Article
  8. Advances in nanomedicine and delivery systems for gastric cancer research.Frontiers in bioengineering and biotechnology · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Pharmacokinetic Study of Ultrasmall Superparamagnetic Iron Oxide Nanoparticles HY-088 in Rats.European journal of drug metabolism and pharmacokinetics · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. The Utility ofClinical Medicine Insights. Oncology · 2024
    Article
  19. Article
  20. Article
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

5 authors.

Danyu MaDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China.
Ying ZhangDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China.
Xiaoliang ShaoDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China.
Chen WuDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China.
Jun WuDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A portion of gastric cancer patients with negative lymph node metastasis at an early stage eventually die from tumor recurrence or advanced metastasis. Occult lymph node metastasis (OLNM] is a potential risk factor for the recurrence and metastasis in these patients, and it is highly important for clinical prognosis. Positron emission tomography (PET)/computed tomography (CT) is used to assess lymph node metastasis in gastric cancer due to its advantages in anatomical and functional imaging and non-invasive nature. Among the major metabolic parameters of PET, the maximum standardized uptake value (SUVmax) is commonly used for examining lymph node status. However, SUVmax is susceptible to interference by a variety of factors. In recent years, the exploration of new PET metabolic parameters, new PET imaging agents and radiomics, has become an active research topic. This paper aims to explore the feasibility and predict the effectiveness of using PET/CT to detect OLNM. The current landscape and future trends of primary metabolic parameters and new imaging agents of PET are reviewed. For gastric cancer patients, the possibility to detect OLNM non-invasively will help guide surgeons to choose the appropriate lymph node dissection area, thereby reducing unnecessary dissections and providing more reasonable, personalized and comprehensive treatments.

Indexed as

Positron Emission Tomography Computed TomographyStomach NeoplasmsFluorodeoxyglucose F18HumansLymphatic MetastasisPositron-Emission TomographyFluorodeoxyglucose F18gastric cancerlymph nodesmaximum standardized uptake value (SUVmax)occult lymph node metastasisPET/CTradiomics

Identifiers

PMID36135082
PMCPMC9497704

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.