SPARC: The Standardised Prostate-specific Membrane Antigen Positron Emission Tomography/Computed Tomography Analysis and Reporting Consensus: A Delphi Analysis

SPARC provides a standardised PSMA PET/CT analysis and reporting consensus to serve as a future reference for PSMA PET/CT reporting. Integration of common PSMA PET reporting criteria under one umbrella improves the explanation of imaging findings between imaging experts and treating clinicians for clinical implementation.

Authors

Institutions

Publication Details

Journal
European Urology
Published
2025-09-13
DOI
https://doi.org/10.1016/j.eururo.2025.08.005
Citations
8
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
10.88

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SPARC: The Standardised Prostate-specific Membrane Antigen Positron Emission Tomography/Computed Tomography Analysis and Reporting Consensus: A Delphi Analysis

Karim S. Fizazi, Silke Gillessen, Anders Bjartell, Boris Hadaschik et al.
8 citations
European Urology
Medical Imaging Techniques and Applications
10.88
article

SPARC: The Standardised Prostate-specific Membrane Antigen Positron Emission Tomography/Computed Tomography Analysis and Reporting Consensus: A Delphi Analysis

Karim S. Fizazi, Silke Gillessen, Anders Bjartell, Boris Hadaschik, Michael J. Morris, Olivier Rouvière, Jochen Walz, Mike Sathekge, Andrei Gafita, Amee Morgans, Tobias Maurer, Alberto Briganti, Karolien Goffin, Daniela E. Oprea-Lager, Joe M. O’Sullivan, Louise Emmett, Stefano Fanti, Wolfgang P. Fendler, Michael S. Hofman, Philip Cornford, Shahneen Kaur Sandhu, Wim P.J. Witjes, Thomas A. Hope, Clare M. Tempany, Piet Ost, Steven MacLennan, Declan G. Murphy, Matthias J. Eiber, Ken Herrmann, Oliver Sartor, Johannes Czernin
article en
8 citations

Abstract

SPARC provides a standardised PSMA PET/CT analysis and reporting consensus to serve as a future reference for PSMA PET/CT reporting. Integration of common PSMA PET reporting criteria under one umbrella improves the explanation of imaging findings between imaging experts and treating clinicians for clinical implementation.

European UrologyVol. 89(3)
Queen's University Belfast (GB), Brigham and Women's Hospital (US), Memorial Sloan Kettering Cancer Center (US), Johns Hopkins University (US), Radboud University Nijmegen (NL), Vita-Salute San Raffaele University (IT), Universität Hamburg (DE), The University of Melbourne (AU), University of California, San Francisco (US), Lund University (SE), University of Aberdeen (GB), Johns Hopkins Medicine (US), Tulane Medical Center (US), Peter MacCallum Cancer Centre (AU), Bon Secours Hospital Cork (IE), European Association of Urology (NL), Institut Gustave Roussy (FR), TUM Klinikum (DE), Steve Biko Hospital (ZA), Radboud University Medical Center (NL), University of California System (US), St Vincent's Hospital Sydney (AU), Ente Ospedaliero Cantonale (CH), St Vincent’s Private Hospital Sydney (AU), Hospices Civils de Lyon (FR), University Medical Center Hamburg-Eppendorf (DE), Martini-Klinik (DE), Dana-Farber Cancer Institute (US), Azienda USL di Bologna (IT), Essen University Hospital (DE), St Vincent's Clinic (AU), Hôpital Edouard Herriot (FR), IRCCS Ospedale San Raffaele (IT), Iridium Kankernetwerk (BE), Skåne University Hospital (SE), Institut Paoli-Calmettes (FR), Molecular Theranostics (United States) (US), Università della Svizzera italiana (CH), University of Duisburg-Essen (DE), KU Leuven (BE)
European Association of Urology
Openalex Percentile: Top 1%
Medical Imaging Techniques and Applications
10.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.