Literature DB >> 11930052

Prostate cancer tumor volume: measurement with endorectal MR and MR spectroscopic imaging.

Fergus V Coakley1, John Kurhanewicz, Ying Lu, Kirk D Jones, Mark G Swanson, Silvia D Chang, Peter R Carroll, Hedvig Hricak.   

Abstract

PURPOSE: To determine accuracy of magnetic resonance (MR) and three-dimensional (3D) MR spectroscopic imaging in prostate cancer tumor volume measurement.
MATERIALS AND METHODS: Endorectal MR and 3D MR spectroscopic imaging were performed in 37 patients before radical prostatectomy. Two independent readers recorded peripheral zone tumor nodule location and volume. Results were analyzed with step-section histopathologic tumor localization and volume measurement as the standard. Accuracy of tumor volume measurement was assessed with the Pearson correlation coefficient. P values were calculated with a random effects model. Bland-Altman regression analysis was used to evaluate systematic bias between tumor volumes measured with MR imaging and true tumor volumes. Analyses were performed for all nodules and nodules greater than 0.50 cm(3).
RESULTS: Mean volume of peripheral zone tumor nodules (n = 51) was 0.79 cm(3) (range, 0.02-3.70 cm(3)). Two readers detected 20 (65%) and 23 (74%) of 31 peripheral zone tumor nodules greater than 0.50 cm(3). For these nodules, measurements of tumor volume with MR imaging, 3D MR spectroscopic imaging, and a combination of both were all positively correlated with histopathologic volume (Pearson correlation coefficients of 0.49, 0.59, and 0.55, respectively); only measurements with 3D MR spectroscopic imaging and a combination of MR and 3D MR spectroscopic imaging demonstrated statistical significance (P <.05). Tumor volume estimation with all three methods was more accurate for higher tumor volumes.
CONCLUSION: Addition of 3D MR spectroscopic imaging to MR imaging increases overall accuracy of prostate cancer tumor volume measurement, although measurement variability limits consistent quantitative tumor volume estimation, particularly for small tumors.

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Year:  2002        PMID: 11930052     DOI: 10.1148/radiol.2231010575

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


  58 in total

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Authors:  R H Oyen
Journal:  Eur Radiol       Date:  2003-05       Impact factor: 5.315

Review 2.  Methods for volume assessment of prostate cancer.

Authors:  Heinz-Peter Schlemmer; Stefan Corvin
Journal:  Eur Radiol       Date:  2004-02-06       Impact factor: 5.315

3.  Prostate cancer managed with active surveillance: role of anatomic MR imaging and MR spectroscopic imaging.

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4.  Semi-automatic deformable registration of prostate MR images to pathological slices.

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Review 5.  Prostate MR imaging at high-field strength: evolution or revolution?

Authors:  Olivier Rouvière; Robert P Hartman; Denis Lyonnet
Journal:  Eur Radiol       Date:  2005-09-10       Impact factor: 5.315

6.  Prostate biopsy: targeting cancer for detection and therapy.

Authors:  Samir S Taneja
Journal:  Rev Urol       Date:  2006

Review 7.  Role of magnetic resonance imaging and magnetic resonance spectroscopic imaging before and after radiotherapy for prostate cancer.

Authors:  Antonio C Westphalen; David A McKenna; John Kurhanewicz; Fergus V Coakley
Journal:  J Endourol       Date:  2008-04       Impact factor: 2.942

8.  The role of magnetic resonance imaging (MRI) in focal therapy for prostate cancer: recommendations from a consensus panel.

Authors:  Berrend G Muller; Jurgen J Fütterer; Rajan T Gupta; Aaron Katz; Alexander Kirkham; John Kurhanewicz; Judd W Moul; Peter A Pinto; Ardeshir R Rastinehad; Cary Robertson; Jean de la Rosette; Rafael Sanchez-Salas; J Stephen Jones; Osamu Ukimura; Sadhna Verma; Hessel Wijkstra; Michael Marberger
Journal:  BJU Int       Date:  2013-11-13       Impact factor: 5.588

Review 9.  New horizons in prostate cancer imaging.

Authors:  Gregory Ravizzini; Baris Turkbey; Karen Kurdziel; Peter L Choyke
Journal:  Eur J Radiol       Date:  2008-11-07       Impact factor: 3.528

10.  Correlation of magnetic resonance imaging tumor volume with histopathology.

Authors:  Baris Turkbey; Haresh Mani; Omer Aras; Ardeshir R Rastinehad; Vijay Shah; Marcelino Bernardo; Thomas Pohida; Dagane Daar; Compton Benjamin; Yolanda L McKinney; W Marston Linehan; Bradford J Wood; Maria J Merino; Peter L Choyke; Peter A Pinto
Journal:  J Urol       Date:  2012-08-15       Impact factor: 7.450

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