Evidence map›Paper›PMID 32527039›Full record

ArticleCancers2020

Prognostic Impact of Pretherapeutic FDG-PET in Localized Anal Cancer.

Maelle Le Thiec, Aude Testard, Ludovic Ferrer, Camille Guillerminet, Olivier Morel, Bruno Maucherat, Daniela Rusu, Sylvie Girault, Marie Lacombe, Hadji Hamidou and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% of its field
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 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. [European journal of nuclear medicine and molecular imaging · 2023
    Pooled it
  2. 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

16 authors at 2 institutions in 1 country.

Maelle Le ThiecNuclear Medicine Unit, ICO Cancer Center, 44805 Saint Herblain, France.
Aude TestardNuclear Medicine Unit, ICO Cancer Center, 49055 Angers, France.
Ludovic FerrerMedical Physics Unit, ICO Cancer Center, 44805 Saint Herblain, France.
Camille GuillerminetMedical Physics Unit, ICO Cancer Center, 49055 Angers, France.
Olivier MorelNuclear Medicine Unit, ICO Cancer Center, 49055 Angers, France.
Bruno MaucheratNuclear Medicine Unit, ICO Cancer Center, 44805 Saint Herblain, France.
Daniela RusuNuclear Medicine Unit, ICO Cancer Center, 44805 Saint Herblain, France.
Sylvie GiraultNuclear Medicine Unit, ICO Cancer Center, 49055 Angers, France.
Marie LacombeNuclear Medicine Unit, ICO Cancer Center, 49055 Angers, France.
Hadji HamidouRadiation Oncology Unit, ICO Cancer Center, 49055 Angers, France.
Véronique Guérin MeyerMedical Oncology Unit, ICO Cancer Center, 49055 Angers, France.
Emmanuel RioRadiation Oncology Unit, ICO Cancer Center, 44805 Saint Herblain, France.
Sandrine HiretMedical Oncology Unit, ICO Cancer Center, 44805 Saint Herblain, France.
Françoise Kraeber-BodéréNuclear Medicine Unit, ICO Cancer Center, 44805 Saint Herblain, France.
Loïc CampionCRCINA, University of Nantes and Angers, INSERM UMR1232, CNRS-ERL6001, 49055 Angers, France.ORCID 0000-0003-4903-0908
Caroline RousseauNuclear Medicine Unit, ICO Cancer Center, 44805 Saint Herblain, France.
Institut Génétique Nantes Atlantique · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the heterogeneity of tumour mass segmentation methods and lack of consensus, our study evaluated the prognostic value of pretherapeutic positron emission tomography with fluorodeoxyglucose (FDG-PET) metabolic parameters using different segmentation methods in patients with localized anal squamous cell carcinoma (SCC). Eighty-one patients with FDG-PET before radiochemotherapy were retrospectively analyzed. Semiquantitative data were measured with three fixed thresholds (35%, 41% and 50% of Maximum Standardized Uptake Value (SUVmax)) and four segmentation methods based on iterative approaches (Black, Adaptive, Nestle and Fitting). Metabolic volumes of primary anal tumour (P-MTV) and total tumour load (T-MTV: P-MTV+ lymph node MTV) were calculated. The primary endpoint was event-free survival (EFS). Seven multivariate models were created to compare FDG-PET tumour volumes prognostic impact. For all segmentation thresholds, PET metabolic volume parameters were independent prognostic factor and T-MTV variable was consistently better associated with EFS than P-MTV. Patient's sex was an independent variable and significantly correlated with EFS. With fixed threshold segmentation methods, 35% of SUVmax threshold seemed better correlated with EFS and the best cut-off for discrimination between a low and high risk of event occurrence was 40 cm

Indexed as

anal cancerFDG-PETmetabolic tumour volumeprognosis

Identifiers

PMID32527039
PMCPMC7352672
OpenAlexW3034679113

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.