Evidence map›Paper›PMID 36163522›Full record

ArticleEuropean journal of hybrid imaging2022

Retention index of FDG-PET/CT SUVmax of the primary tumor in non-small cell lung cancer as a predictor of lymph node metastasis: a retrospective study.

Toshinari Ema, Hideaki Kojima, Shinji Mizuno, Tatsuo Hirai, Mikako Oka, Hiroshi Neyatani, Kazuhito Funai, Norihiko Shiiya

Abstract read
In one paragraph

Article in European journal of hybrid imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Standardized uptake valueCancer medicine · 2024
    Observational
  2. The Utility ofClinical Medicine Insights. Oncology · 2024
    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

8 authors.

Toshinari EmaDepartment of Thoracic Surgery, Fujieda Municipal General Hospital, 4-1-11 Surugadai, Fujieda City, Shizuoka, 426-8677, Japan. tema@hospital.fujieda.shizuoka.jp.ORCID http://orcid.org/0000-0003-1146-2326
Hideaki KojimaDepartment of Thoracic Surgery, Fujieda Municipal General Hospital, 4-1-11 Surugadai, Fujieda City, Shizuoka, 426-8677, Japan.
Shinji MizunoDepartment of Radiology, Heisei Memorial Medical Center, Shizuoka, Japan.
Tatsuo HiraiDepartment of Radiology, Heisei Memorial Medical Center, Shizuoka, Japan.
Mikako OkaDepartment of Thoracic Surgery, Fujieda Municipal General Hospital, 4-1-11 Surugadai, Fujieda City, Shizuoka, 426-8677, Japan.
Hiroshi NeyataniDepartment of Thoracic Surgery, Fujieda Municipal General Hospital, 4-1-11 Surugadai, Fujieda City, Shizuoka, 426-8677, Japan.
Kazuhito FunaiFirst Department of Surgery, Hamamatsu University School of Medicine, Shizuoka, Japan.
Norihiko ShiiyaFirst Department of Surgery, Hamamatsu University School of Medicine, Shizuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate staging of non-small cell lung cancer is key in treatment planning and prediction of prognosis. We investigated the correlation between the maximum standardized uptake value (SUVmax) retention index (RI) of the primary tumor and lymph node metastasis in non-small cell lung carcinoma. We also evaluated the tendencies according to the histological types.

methodsWe retrospectively evaluated 218 non-small cell lung cancer (NSCLC) tumors from 217 patients who underwent preoperative fluorodeoxyglucose-positron emission tomography/computed tomography (PET/CT) followed by lung surgery and lymph node resection between July 2015 and August 2020. All primary tumors were calculated as the SUVmax at 50 min (SUVmax

resultsThe median SUVmax

conclusionsThe RI of primary NSCLC tumors can help predict lymph node metastases, particularly in patients with adenocarcinoma.

Indexed as

18F-FDGLymphatic metastasisNon-small cell lung cancerPositron-emission tomography/computed tomography

Identifiers

PMID36163522
PMCPMC9512945

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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.