High Interobserver Agreement on PSMA PET/CT Even in the Absence of Clinical Data.
Journal
Clinical nuclear medicine
ISSN: 1536-0229
Titre abrégé: Clin Nucl Med
Pays: United States
ID NLM: 7611109
Informations de publication
Date de publication:
01 Mar 2023
01 Mar 2023
Historique:
entrez:
1
2
2023
pubmed:
2
2
2023
medline:
4
2
2023
Statut:
ppublish
Résumé
Recommended by current guidelines, prostate-specific membrane antigen (PSMA)-directed PET/CT is increasingly used in men with prostate cancer (PC). We aimed to provide concordance rates using the PSMA reporting and data system (RADS) for scan interpretation and also determine whether such agreement rates are affected by available patient characteristics at time of scan. Sixty men with PC, who all underwent 68Ga-PSMA-11 PET/CT, were included. Three independent, experienced readers indicated general scan parameters (including overall scan result, organ or lymph node [LN] involvement, and appropriateness of radioligand therapy). Applying PSMA-RADS 1.0, observers also had to conduct RADS scoring on a target lesion (TL) and overall scan level. During the first read, observers were masked to all relevant clinical information, whereas on a second read, relevant patient characteristics were displayed, thereby allowing for determination of impact of available clinical information for scan interpretation. We used intraclass correlation coefficients (ICCs; with 95% confidence intervals [CIs]), which were then rated according to Cicchetti (0.4-0.59 fair, 0.6-0.74 good, and 0.75-1 excellent agreement). For general parameters, agreement rates were excellent, including an overall scan result (ICC, 0.85; 95% CI, 0.76-0.90), LN metastases (ICC, 0.89; 95% CI, 0.83-0.93), organ involvement (ICC, 0.82; 95% CI, 0.72-0.89), and indication for radioligand therapy (ICC, 0.94; 95% CI, 0.90-0.96). Overall RADS scoring was also excellent with an ICC of 0.91 (95% CI, 0.96-09.4). On a TL-based level, 251 different lesions were selected by the 3 observers (with 73 chosen by all 3 readers). RADS-based concordance rates were fair to excellent: all lesions, ICC of 0.78 (95% CI, 0.67-0.85); LN, ICC of 0.81 (95% CI, 0.63-0.92); skeleton, ICC of 0.55 (95% CI, 0-0.84); and prostate, ICC of 0.48 (95% CI, 0.17-0.78). When performing a second read displaying patient's characteristics, there were only minor modifications to the previously applied RADS scoring on a TL-based level (overall, n = 8): each reader 1 and 2 in 3/60 (5%) instances, and reader 3 in 2/60 (3.3%) instances. The main reason for recategorization (mainly upstaging) was provided information on PSA levels (4/8, 50%). Applying PSMA-RADS, concordance rates were fair to excellent, whereas relevant modifications were rarely observed after providing clinical data. As such, even in the absence of patient information, standardized frameworks still provide guidance for reading PSMA PETs. Those findings may have implications for a high throughput in a busy PET practice, where patient details cannot always be retrieved at time of scan interpretation or in the context of clinical trials or central reviews in which readers may be blinded to clinical data.
Sections du résumé
BACKGROUND
BACKGROUND
Recommended by current guidelines, prostate-specific membrane antigen (PSMA)-directed PET/CT is increasingly used in men with prostate cancer (PC). We aimed to provide concordance rates using the PSMA reporting and data system (RADS) for scan interpretation and also determine whether such agreement rates are affected by available patient characteristics at time of scan.
PATIENTS AND METHODS
METHODS
Sixty men with PC, who all underwent 68Ga-PSMA-11 PET/CT, were included. Three independent, experienced readers indicated general scan parameters (including overall scan result, organ or lymph node [LN] involvement, and appropriateness of radioligand therapy). Applying PSMA-RADS 1.0, observers also had to conduct RADS scoring on a target lesion (TL) and overall scan level. During the first read, observers were masked to all relevant clinical information, whereas on a second read, relevant patient characteristics were displayed, thereby allowing for determination of impact of available clinical information for scan interpretation. We used intraclass correlation coefficients (ICCs; with 95% confidence intervals [CIs]), which were then rated according to Cicchetti (0.4-0.59 fair, 0.6-0.74 good, and 0.75-1 excellent agreement).
RESULTS
RESULTS
For general parameters, agreement rates were excellent, including an overall scan result (ICC, 0.85; 95% CI, 0.76-0.90), LN metastases (ICC, 0.89; 95% CI, 0.83-0.93), organ involvement (ICC, 0.82; 95% CI, 0.72-0.89), and indication for radioligand therapy (ICC, 0.94; 95% CI, 0.90-0.96). Overall RADS scoring was also excellent with an ICC of 0.91 (95% CI, 0.96-09.4). On a TL-based level, 251 different lesions were selected by the 3 observers (with 73 chosen by all 3 readers). RADS-based concordance rates were fair to excellent: all lesions, ICC of 0.78 (95% CI, 0.67-0.85); LN, ICC of 0.81 (95% CI, 0.63-0.92); skeleton, ICC of 0.55 (95% CI, 0-0.84); and prostate, ICC of 0.48 (95% CI, 0.17-0.78). When performing a second read displaying patient's characteristics, there were only minor modifications to the previously applied RADS scoring on a TL-based level (overall, n = 8): each reader 1 and 2 in 3/60 (5%) instances, and reader 3 in 2/60 (3.3%) instances. The main reason for recategorization (mainly upstaging) was provided information on PSA levels (4/8, 50%).
CONCLUSIONS
CONCLUSIONS
Applying PSMA-RADS, concordance rates were fair to excellent, whereas relevant modifications were rarely observed after providing clinical data. As such, even in the absence of patient information, standardized frameworks still provide guidance for reading PSMA PETs. Those findings may have implications for a high throughput in a busy PET practice, where patient details cannot always be retrieved at time of scan interpretation or in the context of clinical trials or central reviews in which readers may be blinded to clinical data.
Identifiants
pubmed: 36723879
doi: 10.1097/RLU.0000000000004524
pii: 00003072-202303000-00001
pmc: PMC9907678
doi:
Substances chimiques
Gallium Radioisotopes
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
207-212Informations de copyright
Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.
Déclaration de conflit d'intérêts
Conflicts of interest and sources of funding: This work has been supported by the German Research Foundation (453989101, T.H., R.A.W.; 507803309, R.A.W.), the Okayama University (RECTOR Program, T.H.), and the Japan Society for the Promotion of Science (21K19450, T.H.). All other authors report no relationships that could be construed as a conflict of interest.
Références
Rizzo A, Mollica V, Cimadamore A, et al. Is there a role for immunotherapy in prostate cancer? Cells . 2020;9:2051.
Rosellini M, Santoni M, Mollica V, et al. Treating prostate cancer by antibody-drug conjugates. Int J Mol Sci . 2021;22.
Mollica V, Rizzo A, Rosellini M, et al. Bone targeting agents in patients with metastatic prostate cancer: state of the art. Cancers (Basel) . 2021;13:546.
Jadvar H, Calais J, Fanti S, et al. Appropriate use criteria for prostate-specific membrane antigen PET imaging. J Nucl Med . 2022;63:59–68.
Sheikhbahaei S, Afshar-Oromieh A, Eiber M, et al. Pearls and pitfalls in clinical interpretation of prostate-specific membrane antigen (PSMA)-targeted PET imaging. Eur J Nucl Med Mol Imaging . 2017;44:2117–2136.
Sheikhbahaei S, Werner RA, Solnes LB, et al. Prostate-specific membrane antigen (PSMA)-targeted PET imaging of prostate cancer: an update on important pitfalls. Semin Nucl Med . 2019;49:255–270.
Werner RA, Bundschuh RA, Bundschuh L, et al. Novel structured reporting systems for theranostic radiotracers. J Nucl Med . 2019;60:577–584.
Werner RA, Bundschuh RA, Bundschuh L, et al. Interobserver agreement for the standardized reporting system PSMA-RADS 1.0 on 18 F-DCFPyL PET/CT imaging. J Nucl Med . 2018;59:1857–1864.
Rowe SP, Pienta KJ, Pomper MG, et al. Proposal for a structured reporting system for prostate-specific membrane antigen-targeted PET imaging: PSMA-RADS version 1.0. J Nucl Med . 2018;59:479–485.
Toriihara A, Nobashi T, Baratto L, et al. Comparison of 3 interpretation criteria for 68 Ga-PSMA11 PET based on inter- and Intrareader agreement. J Nucl Med . 2020;61:533–539.
Hinweise zur Beantragung und zum Betrieb von Geräten der Radiologie und Neuroradiologie an Universitätsklinika. Available at: www.dfg.de/download/pdf/foerderung/programme/wgi/hinweise_radiologie_neuroradiologie.pdf . Assessed October 24, 2022.
Fendler WP, Calais J, Eiber M, et al. Assessment of 68 Ga-PSMA-11 PET accuracy in localizing recurrent prostate cancer: a prospective single-arm clinical trial. JAMA Oncol . 2019;5:856–863.
Rahmim A, Lodge MA, Karakatsanis NA, et al. Dynamic whole-body PET imaging: principles, potentials and applications. Eur J Nucl Med Mol Imaging . 2019;46:501–518.
Thomas L, Balmus C, Ahmadzadehfar H, et al. Assessment of bone metastases in patients with prostate cancer—a comparison between (99 m)Tc-bone-scintigraphy and [(68)Ga]Ga-PSMA PET/CT. Pharmaceuticals (Basel) . 2017;10.
Cicchetti D. Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychol Assess . 1994;6:284–290.
Cherry SR, Jones T, Karp JS, et al. Total-body PET: maximizing sensitivity to create new opportunities for clinical research and patient care. J Nucl Med . 2018;59:3–12.
Alverbratt C, Vikman H, Hjalm Eriksson M, et al. Time difference in retrieving clinical information in patient-overview prostate cancer compared to electronic health records. Scand J Urol . 2022;56:95–101.
Sullivan F, Mitchell E. Has general practitioner computing made a difference to patient care? A systematic review of published reports. BMJ . 1995;311:848–852.
Cazzaniga W, Ventimiglia E, Alfano M, et al. Mini review on the use of clinical cancer registers for prostate cancer: the National Prostate Cancer Register (NPCR) of Sweden. Front Med (Lausanne) . 2019;6:51.
Demirci E, Akyel R, Caner B, et al. Interobserver and intraobserver agreement on prostate-specific membrane antigen PET/CT images according to the miTNM and PSMA-RADS criteria. Nucl Med Commun . 2020;41:759–767.
Derwael C, Lavergne O, Lovinfosse P, et al. Interobserver agreement of [ 68 Ga]Ga-PSMA-11 PET/CT images interpretation in men with newly diagnosed prostate cancer. EJNMMI Res . 2020;10:15.
Letang A, Crombe A, Rousseau C, et al. Bone uptake in prostate cancer patients: diagnostic performances of PSMA-RADS v1.0, clinical, biological, and 68 Ga-PSMA-11 PET features to predict metastasis after biochemical recurrence. Clin Nucl Med . 2022;47:e529–e539.
Fendler WP, Eiber M, Beheshti M, et al. 68 Ga-PSMA PET/CT: joint EANM and SNMMI procedure guideline for prostate cancer imaging: version 1.0. Eur J Nucl Med Mol Imaging . 2017;44:1014–1024.
Eiber M, Herrmann K, Calais J, et al. Prostate cancer molecular imaging standardized evaluation (PROMISE): proposed miTNM classification for the interpretation of PSMA-ligand PET/CT. J Nucl Med . 2018;59:469–478.
Ceci F, Oprea-Lager DE, Emmett L, et al. E-PSMA: the EANM standardized reporting guidelines v1.0 for PSMA-PET. Eur J Nucl Med Mol Imaging . 2021;48:1626–1638.
Werner RA, Derlin T, Lapa C, et al. 18 F-labeled, PSMA-targeted radiotracers: leveraging the advantages of radiofluorination for prostate cancer molecular imaging. Theranostics . 2020;10:1–16.
Sartor O, de Bono J, Chi KN, et al. Lutetium-177-PSMA-617 for metastatic castration-resistant prostate cancer. N Engl J Med . 2021;385:1091–1103.
Hofman MS, Emmett L, Sandhu S, et al. [ 177 Lu]Lu-PSMA-617 versus cabazitaxel in patients with metastatic castration-resistant prostate cancer (TheraP): a randomised, open-label, phase 2 trial. Lancet . 2021;397:797–804.
Leung K, Sadaghiani MS, Dalaie P, et al. A deep learning-based approach for lesion classification in 3D 18F-DCFPyL PSMA PET images of patients with prostate cancer. J Nucl Med . 2020;61(suppl 1):527.