Evidence map›Paper›PMID 38137530›Full record

ArticleBiomedicines2023

Inter-Rater Variability of Prostate Lesion Segmentation on Multiparametric Prostate MRI.

Thibaut Jeganathan, Emile Salgues, Ulrike Schick, Valentin Tissot, Georges Fournier, Antoine Valéri, Truong-An Nguyen, Vincent Bourbonne

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Thibaut JeganathanRadiology Department, University Hospital, 29200 Brest, France.
Emile SalguesRadiology Department, University Hospital, 29200 Brest, France.
Ulrike SchickRadiation Oncology Department, University Hospital, 29200 Brest, France.
Valentin TissotRadiology Department, University Hospital, 29200 Brest, France.
Georges FournierINSERM, LaTIM UMR 1101, University of Western Brittany, 29238 Brest, France.
Antoine ValériINSERM, LaTIM UMR 1101, University of Western Brittany, 29238 Brest, France.
Truong-An NguyenINSERM, LaTIM UMR 1101, University of Western Brittany, 29238 Brest, France.
Vincent BourbonneRadiation Oncology Department, University Hospital, 29200 Brest, France.ORCID 0000-0002-2631-0029
Inserm · FRCentre Hospitalier Régional Universitaire de Brest · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionExternal radiotherapy is a major treatment for localized prostate cancer (PCa). Dose escalation to the whole prostate gland increases biochemical relapse-free survival but also acute and late toxicities. Dose escalation to the dominant index lesion (DIL) only is of growing interest. It requires a robust delineation of the DIL. In this context, we aimed to evaluate the inter-observer variability of DIL delineation. MATERIAL AND

methodsTwo junior radiologists and a senior radiation oncologist delineated DILs on 64 mpMRIs of patients with histologically confirmed PCa. For each mpMRI and each reader, eight individual DIL segmentations were delineated. These delineations were blindly performed from one another and resulted from the individual analysis of the T2, apparent diffusion coefficient (ADC), b2000, and dynamic contrast enhanced (DCE) sequences, as well as the analysis of combined sequences (T2ADC, T2ADCb2000, T2ADCDCE, and T2ADCb2000DCE). Delineation variability was assessed using the DICE coefficient, Jaccard index, Hausdorff distance measure, and mean distance to agreement.

resultsT2, ADC, T2ADC, b2000, T2 + ADC + b2000, T2 + ADC + DCE, and T2 + ADC + b2000 + DCE sequences obtained DICE coefficients of 0.51, 0.50, 0.54, 0.52, 0.54, 0.55, 0.53, respectively, which are significantly higher than the perfusion sequence alone (0.35,

conclusionOur study showed that the contours of prostatic lesions were more reproducible on certain sequences but confirmed the great variability of prostatic contours with a maximum DICE coefficient calculated at 0.55 (joint analysis of T2, ADC, and perfusion sequences).

Indexed as

multiparametric MRIprostate cancersegmentationvariability

Identifiers

PMID38137530
PMCPMC10741937
OpenAlexW4389736003

What OpenQuestion holds

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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.