Literature DB >> 25223523

Comparison of calculated and acquired high b value diffusion-weighted imaging in prostate cancer.

Kinzya B Grant1, Harsh K Agarwal, Joanna H Shih, Marcelino Bernardo, Yuxi Pang, Dagane Daar, Maria J Merino, Bradford J Wood, Peter A Pinto, Peter L Choyke, Baris Turkbey.   

Abstract

PURPOSE: To determine whether the performance of calculated high b value diffusion-weighted images (DWI) derived from regular lower b value DWI using exponential diffusion decay models (intravoxel incoherent motion = IVIM and diffusional kurtosis = DK) is comparable to acquired high b value DWI in prostate cancer detection.
MATERIALS AND METHODS: One hundred six patients underwent diagnostic multiparametric prostate MRI at 3T using an endorectal coil. Five b value (b = 0, 188, 375, 563, 750 s/mm(2)) DWI and high b value (b = 0, 1000 and 2000 s/mm(2)) DWI were acquired. Calculated high b value (b = 1000 s/mm(2) and b = 2000 s/mm(2)) DWI were derived from the DWI dataset using DK and IVIM models. Calculated and acquired high b value DWI images were compared for lesion visibility and image quality by two experienced radiologists (1 and 6 years of experience). GEE with Wald test was used to compare the image quality among the four calculated high b value DWI by comparing the proportion of lesions in each model which were comparable to the acquired images. This comparison was done for all lesions and by lesion location (PZ or CG; low apical/anterior or apical/mid/base)
RESULTS: More lesions were visible on acquired b = 2000 s/mm(2) compared to b = 1000 s/mm(2) DWI. Calculated high b value DWI using the IVIM model had approximately the same number of lesions as acquired high b value DWI, whereas the DK model had fewer lesions than acquired images. The image quality of calculated high b value DWI was comparable to that of acquired images, and the highest quality images were obtained with b1000IVIM. The image quality of calculated b1000IVIM was the same as that of acquired DWI in apical/mid/base (98%) locations and comparable in low apical and anterior (95.4%) locations. The image quality of calculated b2000IVIM was inferior in both apical/mid/base (86.2%) locations and comparable in low apical and anterior (83.9%) locations.
CONCLUSION: Calculated high b value DWI obtained using IVIM model has same lesion visibility as that of acquired DWI. The image quality of calculated high b value DWI relative to corresponding acquired DWI decreases with increase in b value.

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Year:  2015        PMID: 25223523      PMCID: PMC5540661          DOI: 10.1007/s00261-014-0246-2

Source DB:  PubMed          Journal:  Abdom Imaging        ISSN: 0942-8925


  31 in total

1.  Clinical utility of apparent diffusion coefficient (ADC) values in patients with prostate cancer: can ADC values contribute to assess the aggressiveness of prostate cancer?

Authors:  Yasushi Itou; Katsuyuki Nakanishi; Yoshifumi Narumi; Yasuko Nishizawa; Hideaki Tsukuma
Journal:  J Magn Reson Imaging       Date:  2011-01       Impact factor: 4.813

2.  Quantitative evaluation of computed high B value diffusion-weighted magnetic resonance imaging of the prostate.

Authors:  Marnix C Maas; Jurgen J Fütterer; Tom W J Scheenen
Journal:  Invest Radiol       Date:  2013-11       Impact factor: 6.016

3.  Diagnostic accuracy of ultra-high-b-value 3.0-T diffusion-weighted MR imaging for detection of prostate cancer.

Authors:  Yoshimitsu Ohgiya; Jumpei Suyama; Noritaka Seino; Takashi Hashizume; Masaaki Kawahara; Syouei Sai; Makoto Saiki; Jiro Munechika; Masanori Hirose; Takehiko Gokan
Journal:  Clin Imaging       Date:  2012-06-08       Impact factor: 1.605

4.  Clinical utility of apparent diffusion coefficient values obtained using high b-value when diagnosing prostate cancer using 3 tesla MRI: comparison between ultra-high b-value (2000 s/mm²) and standard high b-value (1000 s/mm²).

Authors:  Kazuhiro Kitajima; Satoru Takahashi; Yoshiko Ueno; Takeshi Yoshikawa; Yoshiharu Ohno; Makoto Obara; Hideaki Miyake; Masato Fujisawa; Kazuro Sugimura
Journal:  J Magn Reson Imaging       Date:  2012-02-27       Impact factor: 4.813

5.  Documenting the location of prostate biopsies with image fusion.

Authors:  Baris Turkbey; Sheng Xu; Jochen Kruecker; Julia Locklin; Yuxi Pang; Marcelino Bernardo; Maria J Merino; Bradford J Wood; Peter L Choyke; Peter A Pinto
Journal:  BJU Int       Date:  2011-01       Impact factor: 5.588

Review 6.  Advancements in MR imaging of the prostate: from diagnosis to interventions.

Authors:  David Bonekamp; Michael A Jacobs; Riham El-Khouli; Dan Stoianovici; Katarzyna J Macura
Journal:  Radiographics       Date:  2011 May-Jun       Impact factor: 5.333

7.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Authors:  D Le Bihan; E Breton; D Lallemand; M L Aubin; J Vignaud; M Laval-Jeantet
Journal:  Radiology       Date:  1988-08       Impact factor: 11.105

8.  High-b-value diffusion-weighted imaging at 3 T to detect prostate cancer: comparisons between b values of 1,000 and 2,000 s/mm2.

Authors:  Chan Kyo Kim; Byung Kwan Park; Bohyun Kim
Journal:  AJR Am J Roentgenol       Date:  2010-01       Impact factor: 3.959

9.  Intravoxel incoherent motion MR imaging for prostate cancer: an evaluation of perfusion fraction and diffusion coefficient derived from different b-value combinations.

Authors:  Yuxi Pang; Baris Turkbey; Marcelino Bernardo; Jochen Kruecker; Samuel Kadoury; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke
Journal:  Magn Reson Med       Date:  2012-04-09       Impact factor: 4.668

10.  High b-value diffusion-weighted imaging in normal and malignant peripheral zone tissue of the prostate: effect of signal-to-noise ratio.

Authors:  Kazuhiro Kitajima; Yasushi Kaji; Kagayaki Kuroda; Kazuro Sugimura
Journal:  Magn Reson Med Sci       Date:  2008       Impact factor: 2.471

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  18 in total

1.  Detection of prostate cancer in multiparametric MRI using random forest with instance weighting.

Authors:  Nathan Lay; Yohannes Tsehay; Matthew D Greer; Baris Turkbey; Jin Tae Kwak; Peter L Choyke; Peter Pinto; Bradford J Wood; Ronald M Summers
Journal:  J Med Imaging (Bellingham)       Date:  2017-06-12

Review 2.  Advances in medical imaging for the diagnosis and management of common genitourinary cancers.

Authors:  Mohammad H Bagheri; Mark A Ahlman; Liza Lindenberg; Baris Turkbey; Jeffrey Lin; Ali Cahid Civelek; Ashkan A Malayeri; Piyush K Agarwal; Peter L Choyke; Les R Folio; Andrea B Apolo
Journal:  Urol Oncol       Date:  2017-05-12       Impact factor: 3.498

Review 3.  Novel Imaging of Prostate Cancer with MRI, MRI/US, and PET.

Authors:  Phillip J Koo; Jennifer J Kwak; Sajal Pokharel; Peter L Choyke
Journal:  Curr Oncol Rep       Date:  2015-12       Impact factor: 5.075

4.  Intravoxel incoherent motion: application in differentiation of hepatocellular carcinoma and focal nodular hyperplasia.

Authors:  Ma Luo; Ling Zhang; Xin Hua Jiang; Wei Dong Zhang
Journal:  Diagn Interv Radiol       Date:  2017 Jul-Aug       Impact factor: 2.630

5.  PI-RADS version 2: quantitative analysis aids reliable interpretation of diffusion-weighted imaging for prostate cancer.

Authors:  Sung Yoon Park; Su-Jin Shin; Dae Chul Jung; Nam Hoon Cho; Young Deuk Choi; Koon Ho Rha; Sung Joon Hong; Young Taik Oh
Journal:  Eur Radiol       Date:  2016-12-12       Impact factor: 5.315

6.  The diagnostic value of intravoxel incoherent motion imaging in differentiating high-grade from low-grade gliomas: a systematic review and meta-analysis.

Authors:  Hechuan Luo; Ling He; Weiqin Cheng; Sijie Gao
Journal:  Br J Radiol       Date:  2021-05-01       Impact factor: 3.039

7.  The Primacy of High B-Value 3T-DWI Radiomics in the Prediction of Clinically Significant Prostate Cancer.

Authors:  Alessandro Bevilacqua; Margherita Mottola; Fabio Ferroni; Alice Rossi; Giampaolo Gavelli; Domenico Barone
Journal:  Diagnostics (Basel)       Date:  2021-04-21

8.  Voxel-level Classification of Prostate Cancer on Magnetic Resonance Imaging: Improving Accuracy Using Four-Compartment Restriction Spectrum Imaging.

Authors:  Christine H Feng; Christopher C Conlin; Kanha Batra; Ana E Rodríguez-Soto; Roshan Karunamuni; Aaron Simon; Joshua Kuperman; Rebecca Rakow-Penner; Michael E Hahn; Anders M Dale; Tyler M Seibert
Journal:  J Magn Reson Imaging       Date:  2021-03-31       Impact factor: 5.119

Review 9.  Limitations and Prospects for Diffusion-Weighted MRI of the Prostate.

Authors:  Roger Bourne; Eleftheria Panagiotaki
Journal:  Diagnostics (Basel)       Date:  2016-05-27

10.  Low-to-high b value DWI ratio approaches in multiparametric MRI of the prostate: feasibility, optimal combination of b values, and comparison with ADC maps for the visual presentation of prostate cancer.

Authors:  Yin Xi; Alexander Liu; Franklin Olumba; Parker Lawson; Daniel N Costa; Qing Yuan; Gaurav Khatri; Takeshi Yokoo; Ivan Pedrosa; Robert E Lenkinski
Journal:  Quant Imaging Med Surg       Date:  2018-07
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