Usefulness of MRI-assisted metabolic volumetric parameters provided by simultaneous 18F-fluorocholine PET/MRI for primary prostate cancer characterization View Full Text


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Article Info

DATE

2015-03-11

AUTHORS

Yong-il Kim, Gi Jeong Cheon, Jin Chul Paeng, Jeong Yeon Cho, Cheol Kwak, Keon Wook Kang, June-Key Chung, Euishin Edmund Kim, Dong Soo Lee

ABSTRACT

PurposeThe aim of this study was to determine the usefulness of MRI-assisted positron emission tomography (PET) parameters provided by simultaneous 18F-fluorocholine (FCH) PET/MRI for characterization of primary prostate cancer.MethodsThirty patients with localized prostate cancer (mean age 69.4 ± 6.7 years) confirmed by biopsy were prospectively enrolled for simultaneous PET/MRI imaging. The patients underwent 18F-FCH PET/MRI 1 week before undergoing total prostatectomy. Multiple parameters of diffusion-weighted MRI [minimum and mean apparent diffusion coefficient (ADCmin and ADCmean)], metabolic PET [maximum and mean standardized uptake value (SUVmax and SUVmean)], and metabolic volumetric PET [metabolic tumor volume (MTV) and uptake volume product (UVP)] were compared with laboratory, pathologic, and immunohistochemical (IHC) features of the prostate cancer specimen. PET parameters were divided into two categories as follows: volume of interest (VOI) of prostate by SUV cutoff 2.5 (SUVmax, SUVmean, MTVSUV, and UVPSUV) and MRI-assisted VOI of prostate cancer (SUVmaxMRI, SUVmeanMRI, MTVMRI, and UVPMRI).ResultsThe rates of prostate cancer-positive cases identified by MRI alone, 18F-FCH PET alone, and 18F-FCH PET/MRI were 83.3, 80.0, and 93.3 %, respectively. Among the multiple PET/MRI parameters, MTVMRI showed fair correlation with serum prostate-specific antigen (PSA; r = 0.442, p = 0.014) and highest correlation with tumor volume (r = 0.953, p < 0.001). UVPMRI showed highest correlation with serum PSA (r = 0.531, p = 0.003), good correlation with tumor volume (r = 0.908, p < 0.001), and it was significantly associated with Gleason score (p = 0.041). High MTVMRI and UVPMRI values were significant for perineural invasion, lymphatic invasion, extracapsular extension, seminal vesicle invasion, and positive B-cell lymphoma 2 (Bcl-2) expression (all p < 0.05).ConclusionSimultaneous 18F-FCH PET/MRI demonstrated a better diagnostic value for localized prostate cancer detection than each individual modality. MRI-assisted metabolic volumetric PET parameters (MTVMRI and UVPMRI) provided more accurate characterization of prostate cancer than conventional PET and MRI parameters. More... »

PAGES

1247-1256

References to SciGraph publications

  • 2014-01-21. Correlation of metabolic tumor volume and 11C-choline uptake with the pathology of prostate cancer: evaluation by use of simultaneously recorded MR and PET images in JAPANESE JOURNAL OF RADIOLOGY
  • 2013-11-06. Diffusion-weighted MRI, 11C-choline PET and 18F-fluorodeoxyglucose PET for predicting the Gleason score in prostate carcinoma in EUROPEAN RADIOLOGY
  • 2013-12-06. Usefulness of Integrated PET/MRI in Head and Neck Cancer: A Preliminary Study in NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2013-05-23. A new method for apparent diffusion coefficient measurement using sequential 18F-FDG PET and MRI: correlation with histological grade of invasive ductal carcinoma of the breast in ANNALS OF NUCLEAR MEDICINE
  • 2009-11-28. Positron emission tomography imaging of prostate cancer in AMINO ACIDS
  • 2013-04-30. Choline PET/CT for imaging prostate cancer: an update in ANNALS OF NUCLEAR MEDICINE
  • 2014-03-05. Quantitative evaluation of bone metastases from prostate cancer with simultaneous [18F] choline PET/MRI: combined SUV and ADC analysis in ANNALS OF NUCLEAR MEDICINE
  • 2009-04. Is it time to consider a role for MRI before prostate biopsy? in NATURE REVIEWS CLINICAL ONCOLOGY
  • 2014-01-22. Recent Trends in PET Image Interpretations Using Volumetric and Texture-based Quantification Methods in Nuclear Oncology in NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2005-03-12. In vivo uptake of [11C]choline does not correlate with cell proliferation in human prostate cancer in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2013-02-28. Whole-body PET/MRI in oncology: current status and clinical applications in CLINICAL AND TRANSLATIONAL IMAGING
  • 2013-02-07. Tumour volume delineation in prostate cancer assessed by [11C]choline PET/CT: validation with surgical specimens in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2013-10-02. Evaluation of the PET component of simultaneous [18F]choline PET/MRI in prostate cancer: comparison with [18F]choline PET/CT in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2013-04-11. Role of choline PET/CT in guiding target volume delineation for irradiation of prostate cancer in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
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    http://scigraph.springernature.com/pub.10.1007/s00259-015-3026-5

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    http://dx.doi.org/10.1007/s00259-015-3026-5

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    https://www.ncbi.nlm.nih.gov/pubmed/25759164


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        "description": "PurposeThe aim of this study was to determine the usefulness of MRI-assisted positron emission tomography (PET) parameters provided by simultaneous 18F-fluorocholine (FCH) PET/MRI for characterization of primary prostate cancer.MethodsThirty patients with localized prostate cancer (mean age 69.4\u2009\u00b1\u20096.7\u00a0years) confirmed by biopsy were prospectively enrolled for simultaneous PET/MRI imaging. The patients underwent 18F-FCH PET/MRI 1\u00a0week before undergoing total prostatectomy. Multiple parameters of diffusion-weighted MRI [minimum and mean apparent diffusion coefficient (ADCmin and ADCmean)], metabolic PET [maximum and mean standardized uptake value (SUVmax and SUVmean)], and metabolic volumetric PET [metabolic tumor volume (MTV) and uptake volume product (UVP)] were compared with laboratory, pathologic, and immunohistochemical (IHC) features of the prostate cancer specimen. PET parameters were divided into two categories as follows: volume of interest (VOI) of prostate by SUV cutoff 2.5 (SUVmax, SUVmean, MTVSUV, and UVPSUV) and MRI-assisted VOI of prostate cancer (SUVmaxMRI, SUVmeanMRI, MTVMRI, and UVPMRI).ResultsThe rates of prostate cancer-positive cases identified by MRI alone, 18F-FCH PET alone, and 18F-FCH PET/MRI were 83.3, 80.0, and 93.3\u00a0%, respectively. Among the multiple PET/MRI parameters, MTVMRI showed fair correlation with serum prostate-specific antigen (PSA; r\u2009=\u20090.442, p\u2009=\u20090.014) and highest correlation with tumor volume (r\u2009=\u20090.953, p\u2009<\u20090.001). UVPMRI showed highest correlation with serum PSA (r\u2009=\u20090.531, p\u2009=\u20090.003), good correlation with tumor volume (r\u2009=\u20090.908, p\u2009<\u20090.001), and it was significantly associated with Gleason score (p\u2009=\u20090.041). High MTVMRI and UVPMRI values were significant for perineural invasion, lymphatic invasion, extracapsular extension, seminal vesicle invasion, and positive B-cell lymphoma 2 (Bcl-2) expression (all p\u2009<\u20090.05).ConclusionSimultaneous 18F-FCH PET/MRI demonstrated a better diagnostic value for localized prostate cancer detection than each individual modality. MRI-assisted metabolic volumetric PET parameters (MTVMRI and UVPMRI) provided more accurate characterization of prostate cancer than conventional PET and MRI parameters.", 
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    32 schema:description PurposeThe aim of this study was to determine the usefulness of MRI-assisted positron emission tomography (PET) parameters provided by simultaneous 18F-fluorocholine (FCH) PET/MRI for characterization of primary prostate cancer.MethodsThirty patients with localized prostate cancer (mean age 69.4 ± 6.7 years) confirmed by biopsy were prospectively enrolled for simultaneous PET/MRI imaging. The patients underwent 18F-FCH PET/MRI 1 week before undergoing total prostatectomy. Multiple parameters of diffusion-weighted MRI [minimum and mean apparent diffusion coefficient (ADCmin and ADCmean)], metabolic PET [maximum and mean standardized uptake value (SUVmax and SUVmean)], and metabolic volumetric PET [metabolic tumor volume (MTV) and uptake volume product (UVP)] were compared with laboratory, pathologic, and immunohistochemical (IHC) features of the prostate cancer specimen. PET parameters were divided into two categories as follows: volume of interest (VOI) of prostate by SUV cutoff 2.5 (SUVmax, SUVmean, MTVSUV, and UVPSUV) and MRI-assisted VOI of prostate cancer (SUVmaxMRI, SUVmeanMRI, MTVMRI, and UVPMRI).ResultsThe rates of prostate cancer-positive cases identified by MRI alone, 18F-FCH PET alone, and 18F-FCH PET/MRI were 83.3, 80.0, and 93.3 %, respectively. Among the multiple PET/MRI parameters, MTVMRI showed fair correlation with serum prostate-specific antigen (PSA; r = 0.442, p = 0.014) and highest correlation with tumor volume (r = 0.953, p < 0.001). UVPMRI showed highest correlation with serum PSA (r = 0.531, p = 0.003), good correlation with tumor volume (r = 0.908, p < 0.001), and it was significantly associated with Gleason score (p = 0.041). High MTVMRI and UVPMRI values were significant for perineural invasion, lymphatic invasion, extracapsular extension, seminal vesicle invasion, and positive B-cell lymphoma 2 (Bcl-2) expression (all p < 0.05).ConclusionSimultaneous 18F-FCH PET/MRI demonstrated a better diagnostic value for localized prostate cancer detection than each individual modality. MRI-assisted metabolic volumetric PET parameters (MTVMRI and UVPMRI) provided more accurate characterization of prostate cancer than conventional PET and MRI parameters.
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