Evidence map›Paper›PMID 31758225›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2020

Prognostic significance of semi-quantitative FDG-PET parameters in stage I non-small cell lung cancer treated with carbon-ion radiotherapy.

Suman Shrestha, Tetsuya Higuchi, Katsuyuki Shirai, Azusa Tokue, Shreya Shrestha, Jun-Ichi Saitoh, Hiromi Hirasawa, Tatsuya Ohno, Takashi Nakano, Yoshito Tsushima

Abstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Prognostic Value of MTV and TLG ofContrast media & molecular imaging · 2021
    Pooled it
  2. Prognostic value of metabolic tumor volume on [Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Trial
  3. UsingEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Differences among [Scientific reports · 2021
    Article
  10. PretreatmentAnnals of nuclear medicine · 2021
    Article
  11. Article
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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

10 authors.

Suman ShresthaDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, 3-39-22 Showa, Maebashi, Gunma, 371-8511, Japan.ORCID https://orcid.org/0000-0002-0529-5528
Tetsuya HiguchiDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, 3-39-22 Showa, Maebashi, Gunma, 371-8511, Japan. tetsuyah92md@gmail.com.ORCID http://orcid.org/0000-0003-1317-3560
Katsuyuki ShiraiGunma University Heavy Ion Medical Center, Gunma University, Maebashi, Japan.
Azusa TokueDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, 3-39-22 Showa, Maebashi, Gunma, 371-8511, Japan.
Shreya ShresthaDepartment of Nephrology and Rheumatology, Gunma University Graduate School of Medicine, Maebashi, Japan.
Jun-Ichi SaitohGunma University Heavy Ion Medical Center, Gunma University, Maebashi, Japan.
Hiromi HirasawaDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, 3-39-22 Showa, Maebashi, Gunma, 371-8511, Japan.
Tatsuya OhnoGunma University Heavy Ion Medical Center, Gunma University, Maebashi, Japan.
Takashi NakanoGunma University Heavy Ion Medical Center, Gunma University, Maebashi, Japan.
Yoshito TsushimaDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, 3-39-22 Showa, Maebashi, Gunma, 371-8511, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrognostic significance of volumetric

methodsThirty-nine patients (29 men and 10 women, 71.9 ± 8.3 years) who underwent FDG PET/CT examinations before C-ion RT were retrospectively evaluated. FDG-PET parameters: standardized uptake values (SUVmax, SUVpeak, and SUVmean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG), and clinicopathological variables were assessed for prognosis using Cox proportional hazards regression analysis. Mann-Whitney test compared medians of significant parameters between adenocarcinoma (AC) and squamous cell carcinoma (SCC), and Kaplan-Meier curves were plotted for median-based low- and high-risk groups.

resultsMedian follow-up period was 44.8 months. 1/2/3-year overall survival (OS), progression-free survival (PFS) and local control (LC) rates were 94.9/84.3/70.8, 82.1/69.2/58.4 and 97.3/85.7/82.3%. Multivariate analysis revealed age (hazard ratio, HR: 1.09; 95% confidence interval, CI: 1.0-1.19, p < 0.05) and MTV (HR 4.83, 95% CI 1.21-19.27, p < 0.03) predicted OS, and only MTV predicted PFS (HR 5.3, CI 1.32-21.35, p < 0.02) independently. Compared with AC, SCC had higher MTV (median, 6.625cm

conclusionAmong all FDG PET/CT parameters, only MTV beared prognostic ability for stage I NSCLC treated with C-ion RT, and its histological variation may need consideration for risk-adapted therapeutic management.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsCarbonFemaleFluorodeoxyglucose F18HumansMalePositron-Emission TomographyPositron Emission Tomography Computed TomographyPrognosisRadiopharmaceuticalsRetrospective StudiesTumor BurdenCarbonFluorodeoxyglucose F18Radiopharmaceuticals18FDG PET/CTCarbon-ion radiotherapy (C-ion RT)Metabolic tumor volume (MTV) histologyPrognostic factorStage I non-small cell lung cancer (NSCLC)

Identifiers

PMID31758225
PMCPMC7101295

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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.