Literature DB >> 19701842

Dynamic MRI and CAD vs. choline MRS: where is the detection level for a lesion characterisation in prostate cancer?

Michael Schmuecking1, Carsten Boltze, Hagen Geyer, Henning Salz, Bert Schilling, Thomas G Wendt, Karl-Heinz Kloetzer, Christiane Marx.   

Abstract

PURPOSE: To evaluate the role of pre-interventional fused high resolution T2-weighted images with parametrically analysed dynamic contrast enhanced T1-weighted magnetic resonance (MR) images (DCE-MRI) and 1H magnetic resonance spectroscopy (MRS) for a precise biopsy for the detection of prostate cancer and for the delineation of intraprostatic subvolumes for intensity modulated radiation therapy (IMRT). INCLUSION CRITERIA: Pathological prostate-specific antigen values (PSA) and/or previously negative transrectal ultrasound guided biopsy. Standardised biopsy of the prostate divided into 20 regions. Image fusion of coloured parametric maps derived from DCE-MRI and MRS (single voxel spectroscopy, SVS; chemical shift imaging, CSI) with T2 images for morphological localisation using the MR-workstation, a separate CAD-workstation (CAD: computer aided diagnosis) or a radiation treatment planning system. Correlation of these intraprostatic subvolumes with histology and cytokeratin-positive areas in prostatectomy species.
RESULTS: DCE-MRI: Sensitivity 82%, specificity 89%, accuracy 88%, positive predictive value 61%, negative predictive value 96%. SVS: Sensitivity 55%, specificity 62%. CSI: Sensitivity 68%, specificity 67%. False positive findings due to prostatitis, adenomatous hyperplasia, false negative findings due to low signal (PIN (prostatic intraepithelial neoplasia), cut-off level for DCE-MRI: lesions smaller 3 mm and less than 30% cancer cells, for SVS: lesions smaller 8 mm and less than 50% cancer cells), for CSI: lesions smaller 4 mm and less than 40% cancer cells. Our MR data are correlated with published choline PET/CT data (PET/CT: hybrid scanner of positron emission tomography and computed tomography).
CONCLUSIONS: DCE-MRI and MRS are helpful for a precise biopsy of the prostate. The European Society for Therapeutic Radiology and Oncology (ESTRO) guidelines 2006 for radiation treatment planning of the prostate have to be revised, if the standardised biopsy will be replaced by a lesion-orientated biopsy. Until now it is unclear, if the parametric maps of DCE-MRI and MRS can be used for radiation treatment planning of the prostate.

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Year:  2009        PMID: 19701842     DOI: 10.1080/09553000903090027

Source DB:  PubMed          Journal:  Int J Radiat Biol        ISSN: 0955-3002            Impact factor:   2.694


  10 in total

Review 1.  The promise of dynamic contrast-enhanced imaging in radiation therapy.

Authors:  Yue Cao
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

Review 2.  Overview of dynamic contrast-enhanced MRI in prostate cancer diagnosis and management.

Authors:  Sadhna Verma; Baris Turkbey; Naira Muradyan; Arumugam Rajesh; Francois Cornud; Masoom A Haider; Peter L Choyke; Mukesh Harisinghani
Journal:  AJR Am J Roentgenol       Date:  2012-06       Impact factor: 3.959

Review 3.  A decade in prostate cancer: from NMR to metabolomics.

Authors:  Elita M DeFeo; Chin-Lee Wu; W Scott McDougal; Leo L Cheng
Journal:  Nat Rev Urol       Date:  2011-05-17       Impact factor: 14.432

Review 4.  MRI for men undergoing active surveillance or with rising PSA and negative biopsies.

Authors:  Orit Raz; Masoom Haider; John Trachtenberg; Dan Leibovici; Nathan Lawrentschuk
Journal:  Nat Rev Urol       Date:  2010-10       Impact factor: 14.432

5.  Parameters favorable to intraprostatic radiation dose escalation in men with localized prostate cancer.

Authors:  Nadine Housri; Holly Ning; John Ondos; Peter Choyke; Kevin Camphausen; Deborah Citrin; Barbara Arora; Uma Shankavaram; Aradhana Kaushal
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-10-06       Impact factor: 7.038

6.  Texture analysis based on PI-RADS 4/5-scored magnetic resonance images combined with machine learning to distinguish benign lesions from prostate cancer.

Authors:  Lu Ma; Qi Zhou; Huming Yin; Xiaojie Ang; Yu Li; Gansheng Xie; Gang Li
Journal:  Transl Cancer Res       Date:  2022-05       Impact factor: 0.496

7.  Tumour size measurement in a mouse model using high resolution MRI.

Authors:  Mikael Montelius; Maria Ljungberg; Michael Horn; Eva Forssell-Aronsson
Journal:  BMC Med Imaging       Date:  2012-05-30       Impact factor: 1.930

8.  Association of multiparametric MRI quantitative imaging features with prostate cancer gene expression in MRI-targeted prostate biopsies.

Authors:  Radka Stoyanova; Alan Pollack; Mandeep Takhar; Charles Lynne; Nestor Parra; Lucia L C Lam; Mohammed Alshalalfa; Christine Buerki; Rosa Castillo; Merce Jorda; Hussam Al-Deen Ashab; Oleksandr N Kryvenko; Sanoj Punnen; Dipen J Parekh; Matthew C Abramowitz; Robert J Gillies; Elai Davicioni; Nicholas Erho; Adrian Ishkanian
Journal:  Oncotarget       Date:  2016-08-16

Review 9.  Multimodal imaging for radiation therapy planning in patients with primary prostate cancer.

Authors:  Constantinos Zamboglou; Matthias Eiber; Thomas R Fassbender; Matthias Eder; Simon Kirste; Michael Bock; Oliver Schilling; Kathrin Reichel; Uulke A van der Heide; Anca L Grosu
Journal:  Phys Imaging Radiat Oncol       Date:  2018-11-05

10.  Prostate stereotactic body radiotherapy with simultaneous integrated boost: which is the best planning method?

Authors:  Alison Tree; Caroline Jones; Aslam Sohaib; Vincent Khoo; Nicholas van As
Journal:  Radiat Oncol       Date:  2013-10-02       Impact factor: 3.481

  10 in total

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