Evidence map›Paper›PMID 38321201›Full record

ArticleScientific reports2024

Analytical performance validation of aPROMISE platform for prostate tumor burden, index and dominant tumor assessment with 18F-DCFPyL PET/CT. A pilot study.

Ana María García Vicente, Cristina Lucas Lucas, Julián Pérez-Beteta, Pablo Borrelli, Laura García Zoghby, Mariano Amo-Salas, Ángel María Soriano Castrejón

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
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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

7 authors.

Ana María García VicenteNuclear Medicine Department, Complejo Hospitalario Universitario de Toledo, Avda. Rio Guadiana s/n, 45007, Toledo, Spain. angarvice@yahoo.es.
Cristina Lucas LucasNuclear Medicine Department, University General Hospital, Ciudad Real, Spain.
Julián Pérez-BetetaMathematical Oncology Laboratory (MOLab), Castilla-La Mancha University, Ciudad Real, Spain.
Pablo BorrelliDepartment of Clinical Physiology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden.
Laura García ZoghbyNuclear Medicine Department, Complejo Hospitalario Universitario de Toledo, Avda. Rio Guadiana s/n, 45007, Toledo, Spain.
Mariano Amo-SalasDepartment of Mathematics, Castilla-La Mancha University, Ciudad Real, Spain.
Ángel María Soriano CastrejónNuclear Medicine Department, Complejo Hospitalario Universitario de Toledo, Avda. Rio Guadiana s/n, 45007, Toledo, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To validate the performance of automated Prostate Cancer Molecular Imaging Standardized Evaluation (aPROMISE) in quantifying total prostate disease burden with 18F-DCFPyL PET/CT and to evaluate the interobserver and histopathologic concordance in the establishment of dominant and index tumor. Patients with a recent diagnosis of intermediate/high-risk prostate cancer underwent 18F-DCFPyL-PET/CT for staging purpose. In positive-18F-DCFPyL-PET/CT scans, automated prostate tumor segmentation was performed using aPROMISE software and compared to an in-house semiautomatic-manual guided segmentation procedure. SUV and volume related variables were obtained with two softwares. A blinded evaluation of dominant tumor (DT) and index tumor (IT) location was assessed by both groups of observers. In histopathological analysis, Gleason, International Society of Urological Pathology (ISUP) group, DT and IT location were obtained. We compared all the obtained variables by both software packages using intraclass correlation coefficient (ICC) and Cohen's kappa coefficient (k) for the concordance analysis. Fifty-four patients with a positive

Indexed as

Positron Emission Tomography Computed TomographyProstatic NeoplasmsHumansMaleMolecular ImagingPilot ProjectsProstateTumor Burden

Identifiers

PMID38321201
PMCPMC10847509

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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.