Evidence map›Paper›PMID 29882161›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2018

Developing and validating a novel metabolic tumor volume risk stratification system for supplementing non-small cell lung cancer staging.

Yonglin Pu, James X Zhang, Haiyan Liu, Daniel Appelbaum, Jianfeng Meng, Bill C Penney

Abstract readValidation Study
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Prognostic value of metabolic tumor volume on [Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Trial
  2. Article
  3. Article
  4. Article
  5. Metabolic active tumour volume quantified on [Journal of cancer research and clinical oncology · 2021
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. 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

6 authors.

Yonglin PuDepartment of Radiology, The University of Chicago, 5841 S. Maryland Ave., MC 2026, Chicago, IL, 60637, USA. ypu@radiology.bsd.uchicago.edu.ORCID 0000-0002-9583-8185
James X ZhangDepartment of Medicine, The University of Chicago, Chicago, IL, USA.
Haiyan LiuDepartment of Nuclear Medicine, First Hospital and Molecular Imaging Precision Medical Collaborative Innovation Center, Shanxi Medical University, Taiyuan, 030001, Shanxi, China.
Daniel AppelbaumDepartment of Radiology, The University of Chicago, 5841 S. Maryland Ave., MC 2026, Chicago, IL, 60637, USA.
Jianfeng MengDepartment of Respiratory Medicine, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541002, Guangxi Zhuang Autonomous Region, China.
Bill C PenneyDepartment of Radiology, The University of Chicago, 5841 S. Maryland Ave., MC 2026, Chicago, IL, 60637, USA.

Funding

Developing a PET Volumetric Staging System for NSCLC: a Complement to TNM StagingR21CA181885 · NCI · UNIVERSITY OF CHICAGO · PI JIANG, YULEI, PU, YONGLIN · 2014 to 2015
$390k
NCI NIH HHS R21 CA181885
6 · The paper itself

Abstract

purposeWe hypothesized that whole-body metabolic tumor volume (MTVwb) could be used to supplement non-small cell lung cancer (NSCLC) staging due to its independent prognostic value. The goal of this study was to develop and validate a novel MTVwb risk stratification system to supplement NSCLC staging.

methodsWe performed an IRB-approved retrospective review of 935 patients with NSCLC and FDG-avid tumor divided into modeling and validation cohorts based on the type of PET/CT scanner used for imaging. In addition, sensitivity analysis was conducted by dividing the patient population into two randomized cohorts. Cox regression and Kaplan-Meier survival analyses were performed to determine the prognostic value of the MTVwb risk stratification system.

resultsThe cut-off values (10.0, 53.4 and 155.0 mL) between the MTVwb quartiles of the modeling cohort were applied to both the modeling and validation cohorts to determine each patient's MTVwb risk stratum. The survival analyses showed that a lower MTVwb risk stratum was associated with better overall survival (all p < 0.01), independent of TNM stage together with other clinical prognostic factors, and the discriminatory power of the MTVwb risk stratification system, as measured by Gönen and Heller's concordance index, was not significantly different from that of TNM stage in both cohorts. Also, the prognostic value of the MTVwb risk stratum was robust in the two randomized cohorts. The discordance rate between the MTVwb risk stratum and TNM stage or substage was 45.1% in the modeling cohort and 50.3% in the validation cohort.

conclusionThis study developed and validated a novel MTVwb risk stratification system, which has prognostic value independent of the TNM stage and other clinical prognostic factors in NSCLC, suggesting that it could be used for further NSCLC pretreatment assessment and for refining treatment decisions in individual patients.

Indexed as

AgedCarcinoma, Non-Small-Cell LungFemaleFluorodeoxyglucose F18HumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingPositron Emission Tomography Computed TomographyRadiopharmaceuticalsReference StandardsTumor BurdenFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG PET/CTNon-small cell lung cancerRisk stratificationTNM stagingTumor burdenWhole-body metabolic tumor volume

Identifiers

PMID29882161
PMCPMC6286257

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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.