Literature DB >> 27957637

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

Sung Yoon Park1, Su-Jin Shin2,3, Dae Chul Jung1, Nam Hoon Cho2, Young Deuk Choi4, Koon Ho Rha4, Sung Joon Hong4, Young Taik Oh5.   

Abstract

OBJECTIVES: To determine whether apparent diffusion coefficient (ADC) ratio aids reliable interpretation of diffusion-weighted imaging (DWI) for prostate cancer (PCa).
METHODS: Seventy-six consecutive patients with PCa who underwent DWI and surgery were included. Based on pathologic tumour location, two readers independently performed DWI scoring according to the revised Prostate Imaging Reporting and Data System (PI-RADSv2). ADC ratios of benign to cancerous prostatic tissue were then measured independently and compared between cases showing concordant and discordant DWI scores ≥4. Area under the curve (AUC) and threshold of ADC ratio were analyzed for DWI scores ≥4.
RESULTS: The rate of inter-reader disagreement for DWI score ≥4 was 11.8% (9/76). ADC ratios were higher in concordant vs. discordant DWI scores ≥4 (median, 1.7 vs. 1.1-1.2; p < 0.001). For DWI scores ≥4, the AUCs of ADC ratios were 0.970 for reader 1 and 0.959 for reader 2. In patients with an ADC ratio >1.3, the rate of inter-reader disagreement for DWI score ≥4 decreased to 5.9-6.0%. An ADC ratio >1.3 yielded 100% (reader 1, 54/54; reader 2, 51/51) positive predictive value for clinically significant cancer.
CONCLUSION: ADC ratios may be useful for reliable interpretation of DWI score ≥4 in PI-RADSv2. KEY POINTS: • The ADC ratio correlated positively with DWI score of PI-RADSv2. • ADC ratio >1.3 was associated with concordant interpretation of DWI score ≥4. • ADC ratio >1.3 was associated with high PPV for clinically significant cancer. • ADC ratio is useful for reliable interpretation of DWI scoring in PI-RADSv2.

Entities:  

Keywords:  Apparent diffusion coefficient; Diffusion-weighted imaging; MRI; PI-RADS; Prostate cancer

Mesh:

Year:  2016        PMID: 27957637     DOI: 10.1007/s00330-016-4678-7

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  22 in total

1.  Standardizing display conditions of diffusion-weighted images using concurrent b0 images: a multi-vendor multi-institutional study.

Authors:  Makoto Sasaki; Masahiro Ida; Kei Yamada; Yoshiyuki Watanabe; Mieko Matsui
Journal:  Magn Reson Med Sci       Date:  2007       Impact factor: 2.471

2.  Comparison of apparent diffusion coefficient values among different MRI platforms: a multicenter phantom study.

Authors:  Ali Sami Kıvrak; Yahya Paksoy; Cengiz Erol; Mustafa Koplay; Seda Özbek; Fatih Kara
Journal:  Diagn Interv Radiol       Date:  2013 Nov-Dec       Impact factor: 2.630

3.  Prostate Cancer: The European Society of Urogenital Radiology Prostate Imaging Reporting and Data System Criteria for Predicting Extraprostatic Extension by Using 3-T Multiparametric MR Imaging.

Authors:  Leonardo Kayat Bittencourt; Geert Litjens; Christina A Hulsbergen-van de Kaa; Baris Turkbey; Emerson Leandro Gasparetto; Jelle O Barentsz
Journal:  Radiology       Date:  2015-04-03       Impact factor: 11.105

4.  Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate Radiologists.

Authors:  Andrew B Rosenkrantz; Luke A Ginocchio; Daniel Cornfeld; Adam T Froemming; Rajan T Gupta; Baris Turkbey; Antonio C Westphalen; James S Babb; Daniel J Margolis
Journal:  Radiology       Date:  2016-04-01       Impact factor: 11.105

5.  Assessment of aggressiveness of prostate cancer: correlation of apparent diffusion coefficient with histologic grade after radical prostatectomy.

Authors:  Sadhna Verma; Arumugam Rajesh; Humberto Morales; Lisa Lemen; Gordon Bills; Mark Delworth; Krish Gaitonde; Jun Ying; Ranasinghe Samartunga; Michael Lamba
Journal:  AJR Am J Roentgenol       Date:  2011-02       Impact factor: 3.959

6.  When serial prostate biopsy is recommended: most cancers detected are clinically insignificant.

Authors:  Osama M Zaytoun; Andrew J Stephenson; Khaled Fareed; Ahmed El-Shafei; Tianming Gao; David Levy; J Stephen Jones
Journal:  BJU Int       Date:  2012-03-15       Impact factor: 5.588

7.  Prostate Cancer: Interobserver Agreement and Accuracy with the Revised Prostate Imaging Reporting and Data System at Multiparametric MR Imaging.

Authors:  Berrend G Muller; Joanna H Shih; Sandeep Sankineni; Jamie Marko; Soroush Rais-Bahrami; Arvin Koruthu George; Jean J M C H de la Rosette; Maria J Merino; Bradford J Wood; Peter Pinto; Peter L Choyke; Baris Turkbey
Journal:  Radiology       Date:  2015-06-18       Impact factor: 11.105

8.  What is the optimal b value in diffusion-weighted MR imaging to depict prostate cancer at 3T?

Authors:  T Metens; D Miranda; J Absil; C Matos
Journal:  Eur Radiol       Date:  2011-10-05       Impact factor: 5.315

9.  Relationship between apparent diffusion coefficients at 3.0-T MR imaging and Gleason grade in peripheral zone prostate cancer.

Authors:  Thomas Hambrock; Diederik M Somford; Henkjan J Huisman; Inge M van Oort; J Alfred Witjes; Christina A Hulsbergen-van de Kaa; Thomas Scheenen; Jelle O Barentsz
Journal:  Radiology       Date:  2011-05       Impact factor: 11.105

10.  Combination of prostate imaging reporting and data system (PI-RADS) score and prostate-specific antigen (PSA) density predicts biopsy outcome in prostate biopsy naïve patients.

Authors:  Satoshi Washino; Tomohisa Okochi; Kimitoshi Saito; Tsuzumi Konishi; Masaru Hirai; Yutaka Kobayashi; Tomoaki Miyagawa
Journal:  BJU Int       Date:  2016-04-01       Impact factor: 5.588

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  8 in total

1.  Can Apparent Diffusion Coefficient Values Assist PI-RADS Version 2 DWI Scoring? A Correlation Study Using the PI-RADSv2 and International Society of Urological Pathology Systems.

Authors:  Sonia Gaur; Stephanie Harmon; Lauren Rosenblum; Matthew D Greer; Sherif Mehralivand; Mehmet Coskun; Maria J Merino; Bradford J Wood; Joanna H Shih; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  AJR Am J Roentgenol       Date:  2018-05-07       Impact factor: 3.959

2.  Utility of quantitative apparent diffusion coefficient measurements and normalized apparent diffusion coefficient ratios in the diagnosis of clinically significant peripheral zone prostate cancer.

Authors:  Tan B Nguyen; Alexander Ushinsky; Albert Yang; Michael Nguyentat; Sara Fardin; Edward Uchio; Chandana Lall; Thomas Lee; Roozbeh Houshyar
Journal:  Br J Radiol       Date:  2018-06-21       Impact factor: 3.039

3.  Whole-body MRI to assess bone involvement in prostate cancer and multiple myeloma: comparison of the diagnostic accuracies of the T1, short tau inversion recovery (STIR), and high b-values diffusion-weighted imaging (DWI) sequences.

Authors:  Ahmed Larbi; Patrick Omoumi; Vassiliki Pasoglou; Nicolas Michoux; Perrine Triqueneaux; Bertrand Tombal; Catherine Cyteval; Frédéric E Lecouvet
Journal:  Eur Radiol       Date:  2018-11-09       Impact factor: 5.315

4.  PI-RADS version 2: evaluation of diffusion-weighted imaging interpretation between b = 1000 and b = 1500 s mm-2.

Authors:  Mi-Ri Kwon; Chan Kyo Kim; Jae-Hun Kim
Journal:  Br J Radiol       Date:  2017-10-06       Impact factor: 3.039

5.  Diagnostic Accuracy of a MR Protocol Acquired with and without Endorectal Coil for Detection of Prostate Cancer: A Multicenter Study.

Authors:  Borna K Barth; Niels J Rupp; Alexander Cornelius; Daniel Nanz; Rainer Grobholz; Martin Schmidtpeter; Peter J Wild; Daniel Eberli; Olivio F Donati
Journal:  Curr Urol       Date:  2019-03-08

Review 6.  Prostate Imaging-Reporting and Data System Version 2: Beyond Prostate Cancer Detection.

Authors:  Sung Yoon Park; Nam Hoon Cho; Dae Chul Jung; Young Taik Oh
Journal:  Korean J Radiol       Date:  2018-02-22       Impact factor: 3.500

7.  Comparison of DWI and 18F-FDG PET/CT for assessing preoperative N-staging in gastric cancer: evidence from a meta-analysis.

Authors:  Mingxu Luo; Hongmei Song; Gang Liu; Yikai Lin; Lintao Luo; Xin Zhou; Bo Chen
Journal:  Oncotarget       Date:  2017-09-19

8.  Factors Influencing Variability in the Performance of Multiparametric Magnetic Resonance Imaging in Detecting Clinically Significant Prostate Cancer: A Systematic Literature Review.

Authors:  Armando Stabile; Francesco Giganti; Veeru Kasivisvanathan; Gianluca Giannarini; Caroline M Moore; Anwar R Padhani; Valeria Panebianco; Andrew B Rosenkrantz; Georg Salomon; Baris Turkbey; Geert Villeirs; Jelle O Barentsz
Journal:  Eur Urol Oncol       Date:  2020-03-17
  8 in total

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