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OtherClinical Investigations (Human)

EBONI: A tool for automated quantification of bone metastasis load in PSMA PET/CT

Jochen Hammes, Philipp Täger and Alexander Drzezga
Journal of Nuclear Medicine December 2017, jnumed.117.203265; DOI: https://doi.org/10.2967/jnumed.117.203265
Jochen Hammes
University Hospital Cologne, Germany
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Philipp Täger
University Hospital Cologne, Germany
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Alexander Drzezga
University Hospital Cologne, Germany
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Article Information

jnumed.117.203265
DOI 
https://doi.org/10.2967/jnumed.117.203265
PubMed 
29242401

Published By 
Society of Nuclear Medicine
Print ISSN 
0161-5505
Online ISSN 
2159-662X
History 
  • Published online December 14, 2017.

Article Versions

  • You are currently viewing a previous version of this article (December 14, 2017 - 09:27).
  • View the most recent version of this article
Copyright & Usage 
Copyright © 2017 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

Author Information

  1. Jochen Hammes,
  2. Philipp Täger and
  3. Alexander Drzezga
  1. University Hospital Cologne, Germany
  1. For correspondence or reprints contact: Jochen Hammes, University Hospital Cologne, Kerpener Str. 62, Cologne 50937, Germany. E-mail: jochen.hammes@uk-koeln.de

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    Journal of Nuclear Medicine 2019 60 9
  • Semiautomatically Quantified Tumor Volume Using 68Ga-PSMA-11 PET as a Biomarker for Survival in Patients with Advanced Prostate Cancer
    Robert Seifert, Ken Herrmann, Jens Kleesiek, Michael Schäfers, Vijay Shah, Zhoubing Xu, Guillaume Chabin, Sasa Grbic, Bruce Spottiswoode, Kambiz Rahbar
    Journal of Nuclear Medicine 2020 61 12
  • Theranostics for Advanced Prostate Cancer: Current Indications and Future Developments
    Andrea Farolfi, Wolfgang Fendler, Amir Iravani, Uwe Haberkorn, Rodney Hicks, Ken Herrmann, Jochen Walz, Stefano Fanti
    European Urology Oncology 2019 2 2
  • Clinical perspectives of PSMA PET/MRI for prostate cancer
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    Clinics 2018 73
  • Whole-body uptake classification and prostate cancer staging in 68Ga-PSMA-11 PET/CT using dual-tracer learning
    Nicolò Capobianco, Ludovic Sibille, Maythinee Chantadisai, Andrei Gafita, Thomas Langbein, Guenther Platsch, Esteban Lucas Solari, Vijay Shah, Bruce Spottiswoode, Matthias Eiber, Wolfgang A. Weber, Nassir Navab, Stephan G. Nekolla
    European Journal of Nuclear Medicine and Molecular Imaging 2022 49 2
  • Metabolic Tumour Volume from PSMA PET/CT Scans of Prostate Cancer Patients during Chemotherapy—Do Different Software Solutions Deliver Comparable Results?
    Philipp E. Hartrampf, Marieke Heinrich, Anna Katharina Seitz, Joachim Brumberg, Ioannis Sokolakis, Charis Kalogirou, Andreas Schirbel, Hubert Kübler, Andreas K. Buck, Constantin Lapa, Markus Krebs
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  • Evaluating a Machine Learning Tool for the Classification of Pathological Uptake in Whole-Body PSMA-PET-CT Scans
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  • Semi-automatic evaluation of baseline whole-body tumor burden as an imaging biomarker of 68Ga-PSMA-11 PET/CT in newly diagnosed prostate cancer
    Qiong Zou, Ju Jiao, Min-hong Zou, Ming-zhao Li, Ting Yang, Lei Xu, Yong Zhang
    Abdominal Radiology 2020 45 12
  • Uptake in non-affected bone tissue does not differ between [18F]-DCFPyL and [68Ga]-HBED-CC PSMA PET/CT
    Jochen Hammes, Melanie Hohberg, Philipp Täger, Markus Wild, Boris Zlatopolskiy, Philipp Krapf, Bernd Neumaier, Klaus Schomäcker, Carsten Kobe, Matthias Schmidt, Markus Dietlein, Alexander Drzezga, Pradeep K. Garg
    PLOS ONE 2018 13 12
  • The VISION Forward: Recognition and Implication of PSMA−/18F-FDG+ mCRPC
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Journal of Nuclear Medicine: 64 (2)
Journal of Nuclear Medicine
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February 1, 2023
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EBONI: A tool for automated quantification of bone metastasis load in PSMA PET/CT
Jochen Hammes, Philipp Täger, Alexander Drzezga
Journal of Nuclear Medicine Dec 2017, jnumed.117.203265; DOI: 10.2967/jnumed.117.203265

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EBONI: A tool for automated quantification of bone metastasis load in PSMA PET/CT
Jochen Hammes, Philipp Täger, Alexander Drzezga
Journal of Nuclear Medicine Dec 2017, jnumed.117.203265; DOI: 10.2967/jnumed.117.203265
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Cited By...

  • Semiautomatically Quantified Tumor Volume Using 68Ga-PSMA-11 PET as a Biomarker for Survival in Patients with Advanced Prostate Cancer
  • qPSMA: Semiautomatic Software for Whole-Body Tumor Burden Assessment in Prostate Cancer Using 68Ga-PSMA11 PET/CT
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Clinical Investigations (Human)

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  • Consecutive PSMA and AR PET imaging shows positive correlation to AR and PSMA protein expression in primary hormone naïve prostate cancer.
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Clinical (Oncology: GU)

  • Consecutive PSMA and AR PET imaging shows positive correlation to AR and PSMA protein expression in primary hormone naïve prostate cancer.
  • Prostate-Specific Membrane Antigen Expression on Positron Emission Tomography/Computed Tomography in Patients with Metastatic Castration-Resistant Prostate Cancer: A Retrospective Observational Study
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Keywords

  • Image Processing
  • Oncology: GU
  • PET/CT
  • PSMA PET/CT
  • automated analysis
  • bone metastasis
  • prostate cancer
  • software based rating
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