Literature DB >> 22550312

Prostate cancer: feasibility and preliminary experience of a diffusional kurtosis model for detection and assessment of aggressiveness of peripheral zone cancer.

Andrew B Rosenkrantz1, Eric E Sigmund, Glyn Johnson, James S Babb, Thais C Mussi, Jonathan Melamed, Samir S Taneja, Vivian S Lee, Jens H Jensen.   

Abstract

PURPOSE: To assess the feasibility of diffusional kurtosis (DK) imaging for distinguishing benign from malignant regions, as well as low- from high-grade malignant regions, within the peripheral zone (PZ) of the prostate in comparison with standard diffusion-weighted (DW) imaging.
MATERIALS AND METHODS: The institutional review board approved this retrospective HIPAA-compliant study and waived informed consent. Forty-seven patients with prostate cancer underwent 3-T magnetic resonance imaging by using a pelvic phased-array coil and DW imaging (maximum b value, 2000 sec/mm2). Parametric maps were obtained for apparent diffusion coefficient (ADC); the metric DK (K), which represents non-Gaussian diffusion behavior; and corrected diffusion (D) that accounts for this non-Gaussianity. Two radiologists reviewed these maps and measured ADC, D, and K in sextants positive for cancer at biopsy. Data were analyzed by using mixed-model analysis of variance and receiver operating characteristic curves.
RESULTS: Seventy sextants exhibited a Gleason score of 6; 51 exhibited a Gleason score of 7 or 8. K was significantly greater in cancerous sextants than in benign PZ (0.96±0.24 vs 0.57±0.07, P<.001), as well as in cancerous sextants with higher rather than lower Gleason score (1.05±0.26 vs 0.89±0.20, P<.001). K showed significantly greater sensitivity for differentiating cancerous sextants from benign PZ than ADC or D (93.3% vs 78.5% and 83.5%, respectively; P<.001), with equal specificity (95.7%, P>.99). K exhibited significantly greater sensitivity for differentiating sextants with low- and high-grade cancer than ADC or D (68.6% vs 51.0% and 49.0%, respectively; P≤.004) but with decreased specificity (70.0% vs 81.4% and 82.9%, respectively; P≤.023). K had significantly greater area under the curve for differentiating sextants with low- and high-grade cancer than ADC (0.70 vs 0.62, P=.010). Relative contrast between cancerous sextants and benign PZ was significantly greater for D or K than ADC (0.25±0.14 and 0.24±0.13, respectively, vs 0.18±0.10; P<.001).
CONCLUSION: Preliminary findings suggest increased value for DK imaging compared with standard DW imaging in prostate cancer assessment. © RSNA, 2012.

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Year:  2012        PMID: 22550312     DOI: 10.1148/radiol.12112290

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


  76 in total

1.  Updates in advanced diffusion-weighted magnetic resonance imaging techniques in the evaluation of prostate cancer.

Authors:  Hebert Alberto Vargas; Edward Malnor Lawrence; Yousef Mazaheri; Evis Sala
Journal:  World J Radiol       Date:  2015-08-28

2.  Evaluation of fitting models for prostate tissue characterization using extended-range b-factor diffusion-weighted imaging.

Authors:  Fredrik Langkilde; Thiele Kobus; Andriy Fedorov; Ruth Dunne; Clare Tempany; Robert V Mulkern; Stephan E Maier
Journal:  Magn Reson Med       Date:  2017-07-17       Impact factor: 4.668

3.  Computed diffusion-weighted imaging of the prostate at 3 T: impact on image quality and tumour detection.

Authors:  Andrew B Rosenkrantz; Hersh Chandarana; Nicole Hindman; Fang-Ming Deng; James S Babb; Samir S Taneja; Christian Geppert
Journal:  Eur Radiol       Date:  2013-06-12       Impact factor: 5.315

4.  Hot topics in functional neuroradiology.

Authors:  S H Faro; F B Mohamed; J A Helpern; J H Jensen; K R Thulborn; I C Atkinson; H I Sair; D J Mikulis
Journal:  AJNR Am J Neuroradiol       Date:  2013-10-17       Impact factor: 3.825

5.  The value of diffusion kurtosis magnetic resonance imaging for assessing treatment response of neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Authors:  Jing Yu; Qing Xu; Jia-Cheng Song; Yan Li; Xin Dai; Dong-Ya Huang; Ling Zhang; Yang Li; Hai-Bin Shi
Journal:  Eur Radiol       Date:  2016-09-08       Impact factor: 5.315

6.  Diffusion kurtosis imaging in the characterisation of rectal cancer: utilizing the most repeatable region-of-interest strategy for diffusion parameters on a 3T scanner.

Authors:  Yiqun Sun; Qin Xiao; Feixiang Hu; Caixia Fu; Huixun Jia; Xu Yan; Chao Xin; Sanjun Cai; Weijun Peng; Xiaolin Wang; Tong Tong; Yajia Gu
Journal:  Eur Radiol       Date:  2018-05-24       Impact factor: 5.315

7.  Quantitative assessment of diffusion kurtosis imaging depicting deep myometrial invasion: a comparative analysis with diffusion-weighted imaging.

Authors:  Jia-Cheng Song; Shan-Shan Lu; Jing Zhang; Xi-Sheng Liu; Cheng-Yan Luo; Ting Chen
Journal:  Diagn Interv Radiol       Date:  2020-03       Impact factor: 2.630

Review 8.  Various diffusion magnetic resonance imaging techniques for pancreatic cancer.

Authors:  Meng-Yue Tang; Xiao-Ming Zhang; Tian-Wu Chen; Xiao-Hua Huang
Journal:  World J Radiol       Date:  2015-12-28

9.  Diffusion-weighted Imaging of Prostate Cancer: Revisiting Occam's Razor.

Authors:  Eric E Sigmund; Andrew B Rosenkrantz
Journal:  Radiology       Date:  2019-04-02       Impact factor: 11.105

10.  Feasibility study of computed vs measured high b-value (1400 s/mm²) diffusion-weighted MR images of the prostate.

Authors:  Leonardo K Bittencourt; Ulrike I Attenberger; Daniel Lima; Ralph Strecker; Andre de Oliveira; Stefan O Schoenberg; Emerson L Gasparetto; Daniel Hausmann
Journal:  World J Radiol       Date:  2014-06-28
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