Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy.


Journal

European journal of nuclear medicine and molecular imaging
ISSN: 1619-7089
Titre abrégé: Eur J Nucl Med Mol Imaging
Pays: Germany
ID NLM: 101140988

Informations de publication

Date de publication:
Jul 2023
Historique:
received: 01 12 2022
accepted: 07 03 2023
medline: 12 6 2023
pubmed: 18 3 2023
entrez: 17 3 2023
Statut: ppublish

Résumé

To develop a CT-based radiomic signature to predict biochemical recurrence (BCR) in prostate cancer patients after sRT guided by positron-emission tomography targeting prostate-specific membrane antigen (PSMA-PET). Consecutive patients, who underwent Among 99 patients, median interval until BCR was the radiomic models outperformed clinical models and combined clinical-radiomic models for prediction of BCR with a C-index of 0.71 compared to 0.53 and 0.63 in the test sets, respectively. In contrast to the other models, the radiomic model achieved significantly improved patient stratification in Kaplan-Meier analysis. The radiomic and clinical-radiomic model achieved a significantly better time-dependent net reclassification improvement index (0.392 and 0.762, respectively) compared to the clinical model. Decision curve analysis demonstrated a clinical net benefit for both models. Mean intensity was the most predictive radiomic feature. This is the first study to develop a PSMA-PET-guided CT-based radiomic model to predict BCR after sRT. The radiomic models outperformed clinical models and might contribute to guide personalized treatment decisions.

Identifiants

pubmed: 36929180
doi: 10.1007/s00259-023-06195-3
pii: 10.1007/s00259-023-06195-3
pmc: PMC10250433
doi:

Substances chimiques

Gallium Radioisotopes 0
Gallium Isotopes 0

Types de publication

Multicenter Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2537-2547

Subventions

Organisme : Deutschen Konsortium für Translationale Krebsforschung
ID : IMPRO-REC

Informations de copyright

© 2023. The Author(s).

Références

Wiegel T, Bartkowiak D, Bottke D, Bronner C, Steiner U, Siegmann A, et al. Adjuvant radiotherapy versus wait-and-see after radical prostatectomy: 10-year follow-up of the ARO 96–02/AUO AP 09/95 trial. Eur Urol. 2014;66(2):243–50.
doi: 10.1016/j.eururo.2014.03.011 pubmed: 24680359
Stephenson AJ, Shariat SF, Zelefsky MJ, Kattan MW, Butler EB, Teh BS, et al. Salvage radiotherapy for recurrent prostate cancer after radical prostatectomy. JAMA. 2004;291(11):1325–32.
doi: 10.1001/jama.291.11.1325 pubmed: 15026399
Cornford P, van den Bergh RCN, Briers E, Van den Broeck T, Cumberbatch MG, De Santis M, et al. EAU-EANM-ESTRO-ESUR-SIOG guidelines on prostate cancer. Part II-2020 Update: Treatment of Relapsing and Metastatic Prostate Cancer. Eur Urol. 2021;79(2):263–82.
Tendulkar RD, Agrawal S, Gao T, Efstathiou JA, Pisansky TM, Michalski JM, et al. Contemporary update of a multi-institutional predictive nomogram for salvage radiotherapy after radical prostatectomy. J Clin Oncol. 2016;34(30):3648–54.
doi: 10.1200/JCO.2016.67.9647 pubmed: 27528718
Fendler WP, Calais J, Eiber M, Flavell RR, Mishoe A, Feng FY, et al. Assessment of 68Ga-PSMA-11 PET accuracy in localizing recurrent prostate cancer: a prospective single-arm clinical trial. JAMA Oncol. 2019;5(6):856–63.
doi: 10.1001/jamaoncol.2019.0096 pubmed: 30920593 pmcid: 6567829
Schmidt-Hegemann NS, Eze C, Li M, Rogowski P, Schaefer C, Stief C, et al. Impact of (68)Ga-PSMA PET/CT on the radiotherapeutic approach to prostate cancer in comparison to CT: a retrospective analysis. J Nucl Med. 2019;60(7):963–70.
doi: 10.2967/jnumed.118.220855 pubmed: 30552203 pmcid: 6604695
Peeken JC, Asadpour R, Specht K, Chen EY, Klymenko O, Akinkuoroye V, et al. MRI-based delta-radiomics predicts pathologic complete response in high-grade soft-tissue sarcoma patients treated with neoadjuvant therapy. Radiother Oncol. 2021;164:73–82.
doi: 10.1016/j.radonc.2021.08.023 pubmed: 34506832
Peeken JC, Neumann J, Asadpour R, Leonhardt Y, Moreira JR, Hippe DS, et al. Prognostic assessment in high-grade soft-tissue sarcoma patients: a comparison of semantic image analysis and radiomics. Cancers. 2021;13(8):1929.
doi: 10.3390/cancers13081929 pubmed: 33923697 pmcid: 8073388
Peeken JC, Wiestler B, Combs SE. Image-guided radiooncology: the potential of radiomics in clinical application. In: Schober O, Kiessling F, Debus J, editors. Molecular imaging in oncology. Cham: Springer International Publishing; 2020. p. 773–94.
doi: 10.1007/978-3-030-42618-7_24
Zamboglou C, Carles M, Fechter T, Kiefer S, Reichel K, Fassbender TF, et al. Radiomic features from PSMA PET for non-invasive intraprostatic tumor discrimination and characterization in patients with intermediate- and high-risk prostate cancer - a comparison study with histology reference. Theranostics. 2019;9(9):2595–605.
doi: 10.7150/thno.32376 pubmed: 31131055 pmcid: 6525993
Spohn SKB, Bettermann AS, Bamberg F, Benndorf M, Mix M, Nicolay NH, et al. Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies. Theranostics. 2021;11(16):8027–42.
doi: 10.7150/thno.61207 pubmed: 34335978 pmcid: 8315055
Fendler WP, Eiber M, Beheshti M, Bomanji J, Ceci F, Cho S, 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(6):1014–24.
Spohn SKB, Farolfi A, Schandeler S, Vogel MME, Ruf J, Mix M, et al. The maximum standardized uptake value in patients with recurrent or persistent prostate cancer after radical prostatectomy and PSMA-PET-guided salvage radiotherapy-a multicenter retrospective analysis. Eur J Nucl Med Mol Imaging. 2022;50(1):218–27.
Ceci F, Oprea-Lager DE, Emmett L, Adam JA, Bomanji J, Czernin J, et al. E-PSMA: the EANM standardized reporting guidelines v1.0 for PSMA-PET. Eur J Nucl Med Mol Imaging. 2021;48(5):1626–38.
Zamboglou C, Fassbender TF, Steffan L, Schiller F, Fechter T, Carles M, et al. Validation of different PSMA-PET/CT-based contouring techniques for intraprostatic tumor definition using histopathology as standard of reference. Radiother Oncol. 2019;141:208–13.
doi: 10.1016/j.radonc.2019.07.002 pubmed: 31431386
van Griethuysen JJM, Fedorov A, Parmar C, Hosny A, Aucoin N, Narayan V, et al. Computational radiomics system to decode the radiographic phenotype. Can Res. 2017;77(21):e104–7.
doi: 10.1158/0008-5472.CAN-17-0339
Tixier F, Le Rest CC, Hatt M, Albarghach N, Pradier O, Metges J-P, et al. Intratumor heterogeneity characterized by textural features on baseline <sup>18</sup>F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer. J Nucl Med. 2011;52(3):369–78.
doi: 10.2967/jnumed.110.082404 pubmed: 21321270
Zwanenburg A, Vallières M, Abdalah MA, Aerts H, Andrearczyk V, Apte A, et al. The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping. Radiology. 2020;295(2):328–38.
doi: 10.1148/radiol.2020191145 pubmed: 32154773
RabascoMeneghetti A, Zwanenburg A, Leger S, Leger K, Troost EGC, Linge A, et al. Definition and validation of a radiomics signature for loco-regional tumour control in patients with locally advanced head and neck squamous cell carcinoma. Clin Transl Radiat Oncol. 2021;26:62–70.
doi: 10.1016/j.ctro.2020.11.011
Heagerty PJ, Lumley T, Pepe MS. Time-dependent ROC curves for censored survival data and a diagnostic marker. Biometrics. 2000;56(2):337–44.
doi: 10.1111/j.0006-341X.2000.00337.x pubmed: 10877287
Zwanenburg A. familiar: Vignettes and Documentation. 2021.
Liu M, Kapadia AS, Etzel CJ. Evaluating a new risk marker’s predictive contribution in survival models. J Stat Theory Pract. 2010;4(4):845–55.
doi: 10.1080/15598608.2010.10412022 pubmed: 22984361 pmcid: 3439820
Sjoberg DD. dcurves: decision curve analysis for model evaluation. 2022.
Simon RM, Subramanian J, Li MC, Menezes S. Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data. Brief Bioinform. 2011;12(3):203–14.
doi: 10.1093/bib/bbr001 pubmed: 21324971 pmcid: 3105299
Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. 2006;26(6):565–74.
doi: 10.1177/0272989X06295361 pubmed: 17099194 pmcid: 2577036
Bourbonne V, Fournier G, Vallières M, Lucia F, Doucet L, Tissot V, et al. External validation of an MRI-derived radiomics model to predict biochemical recurrence after surgery for high-risk prostate cancer. Cancers (Basel). 2020;12(4).
Shiradkar R, Ghose S, Jambor I, Taimen P, Ettala O, Purysko AS, et al. Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: preliminary findings. J Magn Reson Imaging. 2018;48(6):1626–36.
doi: 10.1002/jmri.26178 pubmed: 29734484 pmcid: 6222024
Zhong QZ, Long LH, Liu A, Li CM, Xiu X, Hou XY, et al. Radiomics of multiparametric MRI to predict biochemical recurrence of localized prostate cancer after radiation therapy. Front Oncol. 2020;10:731.
doi: 10.3389/fonc.2020.00731 pubmed: 32477949 pmcid: 7235325
Osman SOS, Leijenaar RTH, Cole AJ, Lyons CA, Hounsell AR, Prise KM, et al. Computed tomography-based radiomics for risk stratification in prostate cancer. Int J Radiat Oncol Biol Phys. 2019;105(2):448–56.
doi: 10.1016/j.ijrobp.2019.06.2504 pubmed: 31254658
Bosetti DG, Ruinelli L, Piliero MA, van der Gaag LC, Pesce GA, Valli M, et al. Cone-beam computed tomography-based radiomics in prostate cancer: a mono-institutional study. Strahlenther Onkol. 2020;196(10):943–51.
doi: 10.1007/s00066-020-01677-x pubmed: 32875372
Tanadini-Lang S, Bogowicz M, Veit-Haibach P, Huellner M, Pauli C, Shukla V, et al. Exploratory radiomics in computed tomography perfusion of prostate cancer. Anticancer Res. 2018;38(2):685–90.
pubmed: 29374691
Peeken JC, Shouman MA, Kroenke M, Rauscher I, Maurer T, Gschwend JE, et al. A CT-based radiomics model to detect prostate cancer lymph node metastases in PSMA radioguided surgery patients. Eur J Nucl Med Mol Imaging. 2020;47(13):2968–77.
doi: 10.1007/s00259-020-04864-1 pubmed: 32468251 pmcid: 7680305
Acar E, Leblebici A, Ellidokuz BE, Başbınar Y, Kaya G. Machine learning for differentiating metastatic and completely responded sclerotic bone lesion in prostate cancer: a retrospective radiomics study. Br J Radiol. 2019;92(1101):20190286.
doi: 10.1259/bjr.20190286 pubmed: 31219712 pmcid: 6732932
Zamboglou C, Strouthos I, Sahlmann J, Farolfi A, Serani F, Medici F, et al. Metastasis-free survival and patterns of distant metastatic disease after prostate-specific membrane antigen positron emission tomography (PSMA-PET)-guided salvage radiation therapy in recurrent or persistent prostate cancer after prostatectomy. Int J Radiat Oncol Biol Phys. 2022;113(5):1015–24.
doi: 10.1016/j.ijrobp.2022.04.048 pubmed: 35659629

Auteurs

Simon K B Spohn (SKB)

Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Robert-Koch-Straße 3, 79106, Freiburg, Germany. Simon.Spohn@uniklinik-freiburg.de.
German Cancer Consortium (DKTK) Partner Site Freiburg, Heidelberg, Germany. Simon.Spohn@uniklinik-freiburg.de.
Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Freiburg, Germany. Simon.Spohn@uniklinik-freiburg.de.

Nina-Sophie Schmidt-Hegemann (NS)

Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.

Juri Ruf (J)

Department of Nuclear Medicine, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany.

Michael Mix (M)

German Cancer Consortium (DKTK) Partner Site Freiburg, Heidelberg, Germany.
Department of Nuclear Medicine, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany.

Matthias Benndorf (M)

Department of Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Fabian Bamberg (F)

Department of Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Marcus R Makowski (MR)

Department of Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Simon Kirste (S)

Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Robert-Koch-Straße 3, 79106, Freiburg, Germany.
German Cancer Consortium (DKTK) Partner Site Freiburg, Heidelberg, Germany.

Alexander Rühle (A)

Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Robert-Koch-Straße 3, 79106, Freiburg, Germany.
German Cancer Consortium (DKTK) Partner Site Freiburg, Heidelberg, Germany.

Jerome Nouvel (J)

Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Robert-Koch-Straße 3, 79106, Freiburg, Germany.
German Cancer Consortium (DKTK) Partner Site Freiburg, Heidelberg, Germany.

Tanja Sprave (T)

Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Robert-Koch-Straße 3, 79106, Freiburg, Germany.
German Cancer Consortium (DKTK) Partner Site Freiburg, Heidelberg, Germany.

Marco M E Vogel (MME)

Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.

Polina Galitsnaya (P)

Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.

Jürgen E Gschwend (JE)

Department of Urology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Christian Gratzke (C)

Department of Urology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Christian Stief (C)

Department of Urology, University Hospital, LMU Munich, Munich, Germany.

Steffen Löck (S)

OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany.

Alex Zwanenburg (A)

OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany.
National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany.
German Cancer Consortium (DKTK) Partner Site Dresden, Heidelberg, Germany.
Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Helmholtz Association/Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany.

Christian Trapp (C)

Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.

Denise Bernhardt (D)

Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.

Stephan G Nekolla (SG)

Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Minglun Li (M)

Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.

Claus Belka (C)

Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.

Stephanie E Combs (SE)

Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.
Institute of Radiation Medicine, Helmholtz Zentrum München, Munich, Germany.

Matthias Eiber (M)

Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Lena Unterrainer (L)

Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.

Marcus Unterrainer (M)

Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.

Peter Bartenstein (P)

Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.

Anca-L Grosu (AL)

Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Robert-Koch-Straße 3, 79106, Freiburg, Germany.
German Cancer Consortium (DKTK) Partner Site Freiburg, Heidelberg, Germany.

Constantinos Zamboglou (C)

Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Robert-Koch-Straße 3, 79106, Freiburg, Germany.
German Cancer Consortium (DKTK) Partner Site Freiburg, Heidelberg, Germany.
Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
German Oncology Center, European University of Cyprus, Limassol, Cyprus.

Jan C Peeken (JC)

Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.
Institute of Radiation Medicine, Helmholtz Zentrum München, Munich, Germany.

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