Evidence map›Paper›PMID 25888358›Full record

Trial reportNuclear medicine communications2015

Quantification of metabolic tumor activity and burden in patients with non-small-cell lung cancer: Is manual adjustment of semiautomatic gradient-based measurements necessary?

Piotr Obara, Haiping Liu, Kristen Wroblewski, Chen-Peng Zhang, Peng Hou, Yulei Jiang, Ping Chen, Yonglin Pu

Abstract readClinical Trial
In one paragraph

Trial report in Nuclear medicine communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Chordoma:Skeletal radiology · 2021
    Article
  6. Review
  7. Article
  8. Accurate FDG PET tumor segmentation using the peritumoral halo layer method: a study in patients with esophageal squamous cell carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2018
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
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.

Piotr ObaraDepartments of aRadiology bPublic Health Sciences, University of Chicago, Chicago, Illinois, USA cPET/CT Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China dDepartment of Nuclear Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Haiping Liu
Kristen Wroblewski
Chen-Peng Zhang
Peng Hou
Yulei Jiang
Ping Chen
Yonglin Pu

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 CA181885NCI NIH HHS R21CA181885
6 · The paper itself

Abstract

purposeMetabolic tumor burden (MTB) measurements including metabolic tumor volume and total lesion glycolysis have been shown to have prognostic value in non-small-cell lung cancer (NSCLC). The calculation of MTB typically utilizes software to semiautomatically draw volumes of interest around the tumor, which are subsequently manually adjusted by the radiologist to include the entire tumor. The manual adjustment step can be time-consuming and observer-dependent. We compared the agreement of MTB values obtained using the semiautomatic method with and without manual adjustment in NSCLC patients.

methodsThis IRB-approved prospective study included 134 patients with histologically proven NSCLC who underwent fluorine-18 fluorodeoxyglucose PET/computed tomography. The MTB of the primary tumor was measured with a semiautomatic gradient-based method without manual adjustment (the semiautomatic gradient method) and with manual adjustment (the manually adjusted semiautomatic gradient method) by two radiologists using the MIM PETedge tool. The paired t-test, Wilcoxon signed-rank test, and concordance correlation coefficient (CCC) were calculated to evaluate the agreement between MTB measures obtained with these two methods, as well as agreement between the two radiologists for each method.

resultsMaximum standardized uptake value was identical between the two methods. No statistically significant difference was present for peak standardized uptake value, metabolic tumor volume, and total lesion glycolysis values between the two methods (P=0.23, 0.45, and 0.37, respectively). Excellent agreement between the two methods was found in terms of CCC (CCC>0.98 for all measures). Interobserver reliability was excellent for all measures (CCC>0.90).

conclusionThe semiautomatic gradient-based tumor-segmentation method can be used without the additional manual adjustment step for MTB quantification of primary NSCLC tumors.

Indexed as

Multimodal ImagingTumor BurdenAdultAgedAged, 80 and overAutomationCarcinoma, Non-Small-Cell LungFemaleHumansImage Processing, Computer-AssistedLung NeoplasmsMaleMiddle AgedPositron-Emission TomographySoftwareTomography, X-Ray Computed

Identifiers

PMID25888358
PMCPMC6069606

What OpenQuestion holds

Textmetadata
LicenceTDM
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.