Evidence map›Paper›PMID 31054023›Full record

ArticleEJNMMI research2019

A comparative study of standardized quantitative and visual assessment for predicting tumor volume and outcome in newly diagnosed diffuse large B-cell lymphoma staged with 18F-FDG PET/CT.

Lars C Gormsen, Mikkel H Vendelbo, Mette Abildgaard Pedersen, Ate Haraldsen, Karin Hjorthaug, Trond Velde Bogsrud, Lars J Petersen, Karen Juul Jensen, Rasmus Brøndum, Tarec C El-Galaly

Abstract read
In one paragraph

Article in EJNMMI research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Semi-automatedComputational and structural biotechnology journal · 2023
    Article
  6. Relationship betweenKorean journal of radiology · 2022
    Article
  7. Article
  8. Review
  9. 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

10 authors.

Lars C GormsenDepartment of Nuclear Medicine & PET Centre, Aarhus University Hospital, DK 8000 Aarhus C, Aarhus, Denmark. lars.christian.gormsen@clin.au.dk.ORCID http://orcid.org/0000-0001-6937-704X
Mikkel H VendelboDepartment of Nuclear Medicine & PET Centre, Aarhus University Hospital, DK 8000 Aarhus C, Aarhus, Denmark.
Mette Abildgaard PedersenDepartment of Nuclear Medicine & PET Centre, Aarhus University Hospital, DK 8000 Aarhus C, Aarhus, Denmark.
Ate HaraldsenDepartment of Nuclear Medicine & PET Centre, Aarhus University Hospital, DK 8000 Aarhus C, Aarhus, Denmark.
Karin HjorthaugDepartment of Nuclear Medicine & PET Centre, Aarhus University Hospital, DK 8000 Aarhus C, Aarhus, Denmark.
Trond Velde BogsrudDepartment of Nuclear Medicine & PET Centre, Aarhus University Hospital, DK 8000 Aarhus C, Aarhus, Denmark.
Lars J PetersenDepartment of Nuclear Medicine, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark.
Karen Juul JensenDepartment of Hematology, Odense University Hospital, Odense, Denmark.
Rasmus BrøndumDepartment of Hematology, Aalborg University Hospital, Aalborg, Denmark.
Tarec C El-GalalyDepartment of Hematology, Aalborg University Hospital, Aalborg, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSemi-automated quantitative measurement of metabolic tumor volume (MTV) for prognosis in diffuse large B-Cell lymphoma (DLBCL) has gained considerable interest lately. However, simple tumor volume measures may be inadequate for assessment of prognosis in DLBCL as other characteristics such as growth pattern and metabolic heterogeneity may be just as important. In addition, MTV measurements require delineation of tumor lesions by semi-automated software, which can be time-consuming. We hypothesized that a simple visual assessment of tumor volume performs as well as standardized MTV measurements in DLBCL prognostication. MATERIALS AND

methodsQuantitative and visual analyses of pre-therapy 18F-FDG PET/CT scans in 118 patients with newly diagnosed DLBCL were conducted. Quantitative analyses were performed using Hermes TumourFinder® to obtain MTV

resultsIn the quantitative analysis, a ROC-determined MTV

conclusionPredictions of outcome after first-line treatment for DLBCL were surprisingly good when left to the unsupervised, subjective judgment of experienced readers of lymphoma 18F-FDG-PET/CT. The study highlights the importance of non-standardized clinical judgments and shows potential loss of valuable prognostic information when relying solely on semi-automated MTV measurements.

Indexed as

18F-FDG PET/CTDLBCLMTVPrognosis

Identifiers

PMID31054023
PMCPMC6499846

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.