Literature DB >> 26807894

Volume of Bone Metastasis Assessed with Whole-Body Diffusion-weighted Imaging Is Associated with Overall Survival in Metastatic Castration-resistant Prostate Cancer.

Raquel Perez-Lopez1, David Lorente1, Matthew D Blackledge1, David J Collins1, Joaquin Mateo1, Diletta Bianchini1, Aurelius Omlin1, Andrea Zivi1, Martin O Leach1, Johann S de Bono1, Dow-Mu Koh1, Nina Tunariu1.   

Abstract

Purpose To determine the correlation between the volume of bone metastasis as assessed with diffusion-weighted (DW) imaging and established prognostic factors in metastatic castration-resistant prostate cancer (mCRPC) and the association with overall survival (OS). Materials and Methods This retrospective study was approved by the institutional review board; informed consent was obtained from all patients. The authors analyzed whole-body DW images obtained between June 2010 and February 2013 in 53 patients with mCRPC at the time of starting a new line of anticancer therapy. Bone metastases were identified and delineated on whole-body DW images in 43 eligible patients. Total tumor diffusion volume (tDV) was correlated with the bone scan index (BSI) and other prognostic factors by using the Pearson correlation coefficient (r). Survival analysis was performed with Kaplan-Meier analysis and Cox regression. Results The median tDV was 503.1 mL (range, 5.6-2242 mL), and the median OS was 12.9 months (95% confidence interval [CI]: 8.7, 16.1 months). There was a significant correlation between tDV and established prognostic factors, including hemoglobin level (r = -0.521, P < .001), prostate-specific antigen level (r = 0.556, P < .001), lactate dehydrogenase level (r = 0.534, P < .001), alkaline phosphatase level (r = 0.572, P < .001), circulating tumor cell count (r = 0.613, P = .004), and BSI (r = 0.565, P = .001). A higher tDV also showed a significant association with poorer OS (hazard ratio, 1.74; 95% CI: 1.02, 2.96; P = .035). Conclusion Metastatic bone disease from mCRPC can be evaluated and quantified with whole-body DW imaging. Whole-body DW imaging-generated tDV showed correlation with established prognostic biomarkers and is associated with OS in mCRPC. (©) RSNA, 2016 Online supplemental material is available for this article.

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Year:  2016        PMID: 26807894     DOI: 10.1148/radiol.2015150799

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  17 in total

1.  Diffusion-weighted Imaging as a Treatment Response Biomarker for Evaluating Bone Metastases in Prostate Cancer: A Pilot Study.

Authors:  Raquel Perez-Lopez; Joaquin Mateo; Helen Mossop; Matthew D Blackledge; David J Collins; Mihaela Rata; Veronica A Morgan; Alison Macdonald; Shahneen Sandhu; David Lorente; Pasquale Rescigno; Zafeiris Zafeiriou; Diletta Bianchini; Nuria Porta; Emma Hall; Martin O Leach; Johann S de Bono; Dow-Mu Koh; Nina Tunariu
Journal:  Radiology       Date:  2016-11-22       Impact factor: 11.105

Review 2.  Treatment of Advanced Prostate Cancer.

Authors:  Min Yuen Teo; Dana E Rathkopf; Philip Kantoff
Journal:  Annu Rev Med       Date:  2019-01-27       Impact factor: 13.739

Review 3.  The role of MRI in prostate cancer: current and future directions.

Authors:  Maria Clara Fernandes; Onur Yildirim; Sungmin Woo; Hebert Alberto Vargas; Hedvig Hricak
Journal:  MAGMA       Date:  2022-03-16       Impact factor: 2.533

Review 4.  Imaging and dosimetry for radium-223: the potential for personalized treatment.

Authors:  Glenn D Flux
Journal:  Br J Radiol       Date:  2017-06-27       Impact factor: 3.039

Review 5.  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

6.  Efficacy and Safety of [225Ac]Ac-PSMA-617 Augmented [177Lu]Lu-PSMA-617 Radioligand Therapy in Patients with Highly Advanced mCRPC with Poor Prognosis.

Authors:  Florian Rosar; Jonas Krause; Mark Bartholomä; Stephan Maus; Tobias Stemler; Ina Hierlmeier; Johannes Linxweiler; Samer Ezziddin; Fadi Khreish
Journal:  Pharmaceutics       Date:  2021-05-14       Impact factor: 6.321

7.  Inter- and Intra-Observer Repeatability of Quantitative Whole-Body, Diffusion-Weighted Imaging (WBDWI) in Metastatic Bone Disease.

Authors:  Matthew D Blackledge; Nina Tunariu; Matthew R Orton; Anwar R Padhani; David J Collins; Martin O Leach; Dow-Mu Koh
Journal:  PLoS One       Date:  2016-04-28       Impact factor: 3.240

Review 8.  DCE-MRI, DW-MRI, and MRS in Cancer: Challenges and Advantages of Implementing Qualitative and Quantitative Multi-parametric Imaging in the Clinic.

Authors:  Jessica M Winfield; Geoffrey S Payne; Alex Weller; Nandita M deSouza
Journal:  Top Magn Reson Imaging       Date:  2016-10

9.  METastasis Reporting and Data System for Prostate Cancer: Practical Guidelines for Acquisition, Interpretation, and Reporting of Whole-body Magnetic Resonance Imaging-based Evaluations of Multiorgan Involvement in Advanced Prostate Cancer.

Authors:  Anwar R Padhani; Frederic E Lecouvet; Nina Tunariu; Dow-Mu Koh; Frederik De Keyzer; David J Collins; Evis Sala; Heinz Peter Schlemmer; Giuseppe Petralia; H Alberto Vargas; Stefano Fanti; H Bertrand Tombal; Johann de Bono
Journal:  Eur Urol       Date:  2016-06-14       Impact factor: 20.096

10.  UK quantitative WB-DWI technical workgroup: consensus meeting recommendations on optimisation, quality control, processing and analysis of quantitative whole-body diffusion-weighted imaging for cancer.

Authors:  Anna Barnes; Roberto Alonzi; Matthew Blackledge; Geoff Charles-Edwards; David J Collins; Gary Cook; Glynn Coutts; Vicky Goh; Martin Graves; Charles Kelly; Dow-Mu Koh; Hazel McCallum; Marc E Miquel; James O'Connor; Anwar Padhani; Rachel Pearson; Andrew Priest; Andrea Rockall; James Stirling; Stuart Taylor; Nina Tunariu; Jan van der Meulen; Darren Walls; Jessica Winfield; Shonit Punwani
Journal:  Br J Radiol       Date:  2017-12-07       Impact factor: 3.039

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