Literature DB >> 28546330

Exploring New Multimodal Quantitative Imaging Indices for the Assessment of Osseous Tumor Burden in Prostate Cancer Using 68Ga-PSMA PET/CT.

Marie Bieth1,2, Markus Krönke1, Robert Tauber3, Marielena Dahlbender3, Margitta Retz3, Stephan G Nekolla1, Bjoern Menze2, Tobias Maurer3, Matthias Eiber4,5, Markus Schwaiger1.   

Abstract

PET combined with CT and prostate-specific membrane antigen (PSMA) ligands has gained significant interest for staging prostate cancer (PC). In this study, we propose 2 multimodal quantitative indices as imaging biomarkers for the assessment of osseous tumor burden using 68Ga-PSMA PET/CT and present preliminary clinical data.
Methods: We defined 2 bone PET indices (BPIs) that incorporate anatomic information from CT and functional information from 68Ga-PSMA PET: BPIVOL is the percentage of bone volume affected by tumor and BPISUV additionally considers the level of PSMA expression. We describe a semiautomatic computation method based on segmentation of bones in CT and of lesions in PET. Data from 45 patients with castration-resistant PC and bone metastases during 223Ra-dichloride were retrospectively analyzed. We evaluated the computational stability and reproducibility of the proposed indices and explored their relation to the prostate-specific antigen blood value, the bone scan index (BSI), and disease classification using PERCIST.
Results: On the technical side, BPIVOL and BPISUV showed an interobserver maximum difference of 3.5%, and their computation took only a few minutes. On the clinical side, BPIVOL and BPISUV showed significant correlations with BSI (r = 0.76 and 0.74, respectively, P < 0.001) and prostate-specific antigen values (r = 0.57 and 0.54, respectively, P < 0.01). When the proposed indices were compared against expert rating using PERCIST, BPIVOL and BPISUV showed better agreement than BSI, indicating their potential for objective response evaluation.
Conclusion: We propose the evaluation of BPIVOL and BPISUV as imaging biomarkers for 68Ga-PSMA PET/CT in a prospective study exploring their potential for outcome prediction in patients with bone metastases from PC.
© 2017 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  PET/CT; image processing; imaging biomarker; prostate cancer

Mesh:

Substances:

Year:  2017        PMID: 28546330     DOI: 10.2967/jnumed.116.189050

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  11 in total

1.  PET/CT-Based Response Evaluation in Cancer-a Systematic Review of Design Issues.

Authors:  Oke Gerke; Karen Ehlers; Edith Motschall; Poul Flemming Høilund-Carlsen; Werner Vach
Journal:  Mol Imaging Biol       Date:  2020-02       Impact factor: 3.488

2.  Semi-automatic evaluation of baseline whole-body tumor burden as an imaging biomarker of 68Ga-PSMA-11 PET/CT in newly diagnosed prostate cancer.

Authors:  Qiong Zou; Ju Jiao; Min-Hong Zou; Ming-Zhao Li; Ting Yang; Lei Xu; Yong Zhang
Journal:  Abdom Radiol (NY)       Date:  2020-09-18

3.  qPSMA: Semiautomatic Software for Whole-Body Tumor Burden Assessment in Prostate Cancer Using 68Ga-PSMA11 PET/CT.

Authors:  Andrei Gafita; Marie Bieth; Markus Krönke; Giles Tetteh; Fernando Navarro; Hui Wang; Elisabeth Günther; Bjoern Menze; Wolfgang A Weber; Matthias Eiber
Journal:  J Nucl Med       Date:  2019-03-08       Impact factor: 10.057

4.  Ultrafast bone scintigraphy scan for detecting bone metastasis using a CZT whole-body gamma camera.

Authors:  Tomohiko Yamane; Atsushi Kondo; Masafumi Takahashi; Yuuki Miyazaki; Toshihiko Ehara; Kenji Koga; Ichiei Kuji; Ichiro Matsunari
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-05-01       Impact factor: 9.236

5.  Deep neural network for automatic characterization of lesions on 68Ga-PSMA-11 PET/CT.

Authors:  Yu Zhao; Andrei Gafita; Bernd Vollnberg; Giles Tetteh; Fabian Haupt; Ali Afshar-Oromieh; Bjoern Menze; Matthias Eiber; Axel Rominger; Kuangyu Shi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-12-07       Impact factor: 9.236

Review 6.  Current and potential future role of PSMA-PET in patients with castration-resistant prostate cancer.

Authors:  Christian Daniel Fankhauser; Cédric Poyet; Stephanie G C Kroeze; Benedikt Kranzbühler; Helena I Garcia Schüler; Matthias Guckenberger; Philipp A Kaufmann; Thomas Hermanns; Irene A Burger
Journal:  World J Urol       Date:  2018-07-20       Impact factor: 4.226

7.  Assessment of Bone Metastases in Patients with Prostate Cancer-A Comparison between 99mTc-Bone-Scintigraphy and [68Ga]Ga-PSMA PET/CT.

Authors:  Lena Thomas; Caroline Balmus; Hojjat Ahmadzadehfar; Markus Essler; Holger Strunk; Ralph A Bundschuh
Journal:  Pharmaceuticals (Basel)       Date:  2017-07-31

Review 8.  Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future Perspectives.

Authors:  Francesco Fiz; Helmut Dittman; Cristina Campi; Silvia Morbelli; Cecilia Marini; Massimo Brignone; Matteo Bauckneht; Roberta Piva; Anna Maria Massone; Michele Piana; Gianmario Sambuceti; Christian la Fougère
Journal:  Bioengineering (Basel)       Date:  2018-07-28

9.  Feasibility of Different Tumor Delineation Approaches for 18F-PSMA-1007 PET/CT Imaging in Prostate Cancer Patients.

Authors:  Lena M Mittlmeier; Matthias Brendel; Leonie Beyer; Nathalie L Albert; Andrei Todica; Mathias J Zacherl; Vera Wenter; Annika Herlemann; Alexander Kretschmer; Stephan T Ledderose; Nina-Sophie Schmidt-Hegemann; Wolfgang G Kunz; Jens Ricke; Peter Bartenstein; Harun Ilhan; Marcus Unterrainer
Journal:  Front Oncol       Date:  2021-05-21       Impact factor: 6.244

Review 10.  Clinical perspectives of PSMA PET/MRI for prostate cancer.

Authors:  Felipe de Galiza Barbosa; Marcelo Araújo Queiroz; Rafael Fernandes Nunes; José Flávio Gomes Marin; Carlos Alberto Buchpiguel; Giovanni Guido Cerri
Journal:  Clinics (Sao Paulo)       Date:  2018-09-21       Impact factor: 2.365

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