From UMCN Radiology Research

Pieter C. Vos

PhD student

Radboud University Medical Centre Nijmegen, Department of Radiology

Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands

Phone: +31 24 3614766, Fax: +31 24 3540866

Room: M391.0.022

Email: p.vos@rad.umcn.nl

Personal webpage:

Research Interests

• Computer technology in detection and staging of prostate carcinoma
• Diagnosing prostate cancer with Dynamic Contrast Enhanced MRI
• Machine learning and pattern recognition applied to the prostate cancer domain
• Registration of multi modal Magnetic Resonance Images in the field of prostate MR
• Segmentation of the prostate

Prostate cancer statistics

Prostate cancer statistics in europe:

Ferlay et al. 2007 Ann Oncology:

• Prostate cancer is now the most frequent cancer diagnosed in men (345 900, 20.3% of the total 1489 700)
• Cancer deaths (thousands) and percentage of total cancer deaths in 2006: 87.4 ( 9 perc of all cancers but nonmelanoma skin 952.4)

Prostate cancer statistics in the US:

Jermal et al.:

• 218,890 cases in 2007
• One out of ten male cancer cases is PCa

Prostate cancer statistics in the NL:

• 20 perc of all male cancer cases were prostate cancer.
• 87 out of 100.000 men were diagnosed with PCa in 2000 (leeftijd gestandaardiseerde incidentiecijfer)
• In total 6.900 were diagnosed in 2000

New update from the cbs: http://www.cbs.nl/nl-NL/menu/themas/gezondheid-welzijn/publicaties/artikelen/archief/2009/2009-2687-wm.htm

In 2008 cancer was death cause number one, for the first time above the frequency of heart and vein deseases. This is caused by the fact that cancer rates are decreasing less than for heart and vein. The increasing incidence rates of prostate cancer is correlated to the aging dutch population. See also: Death due to cancer and heart and veindesease, 1970-2008 and Cancer deaths, januari-oktober 2008.

Projects

Computer aided diagnosis of prostate MR

Publications

Publications

• Pieter C. Vos, Thomas Hambrock, Prof.dr. Jelle O. Barentsz, Dr. Henkjan J. Huisman
  Automated Segmentation of Reference Tissue for Prostate Cancer Localization in Dynamic Contrast Enhanced MRI
  In Proceedings of SPIE Vol. 7624, 76240F (2010), San Diego DOI Link
• Pieter C. Vos, Thomas Hambrock, Jurgen Fütterer, Jelle O. Barenstz, Henkjan J. Huisman
  Computerized Detection and Classification of Prostate Lesions at Diffusion weighted MR Using a Dedicated Hessian Matrix Based Detection Scheme
  In Progress for submitting to TMI
• Pieter C. Vos, Thomas Hambrock, Jelle O. Barenstz, Henkjan J. Huisman
  Computer assisted analysis of peripheral zone prostate lesions using T2-weighted and dynamic contrast enhanced T1-weighted MRI
  Phys Med Biol. 2010 Mar 21;55(6):1719-34. Epub 2010 Mar 2. PMID: 20197602
• Pieter C. Vos, Thomas Hambrock, Jelle O. Barenstz, Henkjan J. Huisman
  Automated calibration for computerized analysis of prostate lesions using pharmacokinetic magnetic resonance images
  MICCAI 2009, September 20-24, 2009, Proceedings, Part II, Volume 5761/2009, Pages 836-843 DOI Link
• Pieter C. Vos, Thomas Hambrock, Jelle Barentsz, Henkjan Huisman.
  Combining T2-weighted with dynamic MR images for computerized classification of prostate lesions.
  In Proceedings of SPIE -- Volume 6915, Medical Imaging 2008: Computer-Aided Diagnosis, Maryellen L. Giger, Nico Karssemeijer, Editors, ISBN: 9780819470997, San Diego, CA, March 2008 DOI Link
• Pieter C. Vos, Thomas Hambrock, Jurgen J. Fütterer, C. A. Hulsbergen-van de Kaa, Jelle Barentsz, Henkjan Huisman.
  Computerized analysis of prostate lesions in the peripheral zone using dynamic contrast enhanced MRI
  Published in Medical Physics March 2008 Volume 35, Issue 3. PDF
• Pieter C. Vos, Thomas Hambrock, Jurgen J. Fütterer, C. A. Hulsbergen-van de Kaa, Jelle Barentsz, Henkjan Huisman.
  Effect of calibration on computerized analysis of prostate lesions using quantitative dynamic contrast-enhanced magnetic resonance imaging.
  In Proceedings of SPIE -- Volume 6514, Medical Imaging 2007: Computer-Aided Diagnosis, Maryellen L. Giger, Nico Karssemeijer, Editors, ISBN: 9780819466327, San Diego, CA, 2007 DOI Link

Oral Presentations

• Robust pharmacokinetic prostate MRI using an automated per-patient reference tissue artery input function estimator
  ECR March 2010 Viena
• Computer-aided Detection of Prostate Lesions at Diffusion-weighted MR Using a Dedicated Hessian Matrix–based Detection Scheme
  RSNA, november 2009 Chicago
• Computer assisted analysis of peripheral zone prostate with T2-weighted and dynamic contrast enhanced T1-weighted MRI
  NVPHBV November 2008
• Computer assisted analysis of peripheral zone prostate lesions with T2-weighted and dynamic contrast enhanced T1-weighted MRI
  ISMRM Benelux, december 2008, Antwerpen

Master's thesis

Computer assisted diagnoses of prostate cancer combining high resolution, dynamic contrast enhanced and spectroscopic MR

Education Exhibits

• Computer-assisted Diagnosis of Prostate Cancer with Multimodal 3-T MR Imaging RSNA 2010

Posters

Involvements

• Dynamic Contrast-Enhanced Analysis of the Prostate at 3T with a Body Array Coil is Feasible and Increases Prostate Cancer Localization Performance
  Stijn W. Heijmink, Jurgen J. Fütterer, Pieter C, Vos, Tom W. Scheenen, Henkjan J. Huisman, Christina A. Hulsbergen-v.d. Kaa, J. Alfred Witjes, Jelle O. Barentsz, ISMRM May 2006
• Prostate Cancer Localization with Dynamic Contrast-enhanced MR Imaging and Proton MR Spectroscopic Imaging
  Jurgen J. Fütterer, MD, PhD, Stijn W. T. P. J. Heijmink, MD,Tom W. J. Scheenen, PhD, Jeroen Veltman, MD, Henkjan J. Huisman, PhD, Pieter Vos, MSc, Christina A. Hulsbergen–Van de Kaa, MD, PhD, J. Alfred Witjes, MD, PhD, Paul F. M. Krabbe, PhD, Arend Heerschap, PhD Jelle O. Barentsz, MD, PhD, Radiology November 2006