Evidence map›Paper›PMID 35732848›Full record

ArticleScientific reports2022

Ellipsoid calculations versus manual tumor delineations for glioblastoma tumor volume evaluation.

Clara Le Fèvre, Roger Sun, Hélène Cebula, Alicia Thiery, Delphine Antoni, Roland Schott, François Proust, Jean-Marc Constans, Georges Noël

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

9 authors.

Clara Le FèvreDepartment of Radiotherapy, ICANS, Institut Cancérologie Strasbourg Europe, 17 Rue Albert Calmette, 67200, Strasbourg Cedex, France. c.lefevre@icans.eu.
Roger SunDepartment of Radiotherapy, Institut Gustave Roussy, Paris-Saclay University, Villejuif, France.
Hélène CebulaDepartment of Neurosurgery, Hôpital d'Hautepierre, 1, Avenue Molière, 67200, Strasbourg, France.
Alicia ThieryDepartment of Public Health, ICANS, Institut Cancérologie Strasbourg Europe, 17 Rue Albert Calmette, 67200, Strasbourg Cedex, France. a.thiery@icans.eu.
Delphine AntoniDepartment of Radiotherapy, ICANS, Institut Cancérologie Strasbourg Europe, 17 Rue Albert Calmette, 67200, Strasbourg Cedex, France.
Roland SchottDepartment of Medical Oncology, ICANS, Institut Cancérologie Strasbourg Europe, 17 Rue Albert Calmette, 67200, Strasbourg Cedex, France.
François ProustDepartment of Neurosurgery, Hôpital d'Hautepierre, 1, Avenue Molière, 67200, Strasbourg, France.
Jean-Marc ConstansDepartment of Radiology, Centre Hospitalier Universitaire d' Amiens, 1 Rond-Point du Professeur Christian Cabrol, 80054, Amiens Cedex 1, France.
Georges NoëlDepartment of Radiotherapy, ICANS, Institut Cancérologie Strasbourg Europe, 17 Rue Albert Calmette, 67200, Strasbourg Cedex, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In glioblastoma, the response to treatment assessment is essentially based on the 2D tumor size evolution but remains disputable. Volumetric approaches were evaluated for a more accurate estimation of tumor size. This study included 57 patients and compared two volume measurement methods to determine the size of different glioblastoma regions of interest: the contrast-enhancing area, the necrotic area, the gross target volume and the volume of the edema area. The two methods, the ellipsoid formula (the calculated method) and the manual delineation (the measured method) showed a high correlation to determine glioblastoma volume and a high agreement to classify patients assessment response to treatment according to RANO criteria. This study revealed that calculated and measured methods could be used in clinical practice to estimate glioblastoma volume size and to evaluate tumor size evolution.

Indexed as

Brain NeoplasmsGlioblastomaHumansMagnetic Resonance ImagingTumor Burden

Identifiers

PMID35732848
PMCPMC9217851

What OpenQuestion holds

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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.