Literature DB >> 26204283

Apparent Diffusion Coefficient Values of the Benign Central Zone of the Prostate: Comparison With Low- and High-Grade Prostate Cancer.

Rajan T Gupta1, Christopher R Kauffman1, Kirema Garcia-Reyes1, Mark L Palmeri2, John F Madden3, Thomas J Polascik4, Andrew B Rosenkrantz5.   

Abstract

OBJECTIVE: The apparent diffusion coefficient (ADC) values for benign central zone (CZ) of the prostate were compared with ADC values of benign peripheral zone (PZ), benign transition zone (TZ), and prostate cancer, using histopathologic findings from radical prostatectomy as the reference standard.
MATERIALS AND METHODS: The study included 27 patients with prostate cancer (mean [± SD] age, 60.0 ± 7.6 years) who had 3-T endorectal coil MRI of the prostate performed before undergoing prostatectomy with whole-mount histopathologic assessment. Mean ADC values were recorded from the ROI within the index tumor and within benign CZ, PZ, and TZ, with the use of histopathologic findings as the reference standard. ADC values of the groups were compared using paired t tests and ROC curve analysis.
RESULTS: The ADC of benign CZ in the right (1138 ± 123 × 10(-6) mm(2)/s) and left (1166 ± 141 × 10(-6) mm(2)/s) lobes was not significantly different (p = 0.217). However, the ADC of benign CZ (1154 ± 129 × 10(-6) mm(2)/s) was significantly lower (p < 0.001) than the ADCs of benign PZ (1579 ± 197 × 10(-6) mm(2)/s) and benign TZ (1429 ± 180 × 10(-6) mm(2)/s). Although the ADC of index tumors (1042 ± 134 × 10(-6) mm(2)/s) was significantly lower (p = 0.002) than the ADC of benign CZ there was no significant difference (p = 0.225) between benign CZ and tumors with a Gleason score of 6 (1119 ± 87 × 10(-6) mm(2)/s). In 22.2% of patients (6/27), including five patients who had tumors with a Gleason score greater than 6, the ADC was lower in benign CZ than in the index tumor. The AUC of ADC for the differentiation of benign CZ from index tumors was 72.4% (sensitivity, 70.4%; specificity, 51.9%), and the AUC of ADC for differentiation from tumors with a Gleason score greater than 6 was 76.7% (sensitivity, 75.0%; specificity, 65.0%).
CONCLUSION: The ADC of benign CZ is lower than the ADC of other zones of the prostate and overlaps with the ADC of prostate cancer tissue, including high-grade tumors. Awareness of this potential diagnostic pitfall is important to avoid misinterpreting the normal CZ as suspicious for tumor.

Entities:  

Keywords:  central zone; multiparametric prostate MRI; prostate cancer

Mesh:

Year:  2015        PMID: 26204283      PMCID: PMC4807133          DOI: 10.2214/AJR.14.14221

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  24 in total

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Authors:  Andrew B Rosenkrantz; Samir S Taneja
Journal:  AJR Am J Roentgenol       Date:  2014-01       Impact factor: 3.959

Review 2.  The state of prostate MRI in 2013.

Authors:  Rajan T Gupta; Christopher R Kauffman; Thomas J Polascik; Samir S Taneja; Andrew B Rosenkrantz
Journal:  Oncology (Williston Park)       Date:  2013-04       Impact factor: 2.990

3.  Dynamic contrast-enhanced MR imaging features of the normal central zone of the prostate.

Authors:  Barry G Hansford; Ibrahim Karademir; Yahui Peng; Yulei Jiang; Gregory Karczmar; Stephen Thomas; Ambereen Yousuf; Tatjana Antic; Scott Eggener; Aytekin Oto
Journal:  Acad Radiol       Date:  2014-05       Impact factor: 3.173

4.  Whole-lesion apparent diffusion coefficient metrics as a marker of percentage Gleason 4 component within Gleason 7 prostate cancer at radical prostatectomy.

Authors:  Andrew B Rosenkrantz; Michael J Triolo; Jonathan Melamed; Henry Rusinek; Samir S Taneja; Fang-Ming Deng
Journal:  J Magn Reson Imaging       Date:  2014-02-25       Impact factor: 4.813

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Authors:  M Noguchi; T A Stamey; J E Neal; C E Yemoto
Journal:  J Urol       Date:  2000-06       Impact factor: 7.450

6.  The role of magnetic resonance imaging in delineating clinically significant prostate cancer.

Authors:  Karim Chamie; Geoffrey A Sonn; David S Finley; Nelly Tan; Daniel J A Margolis; Steven S Raman; Shyam Natarajan; Jiaoti Huang; Robert E Reiter
Journal:  Urology       Date:  2014-02       Impact factor: 2.649

7.  Prostate cancer aggressiveness: assessment with whole-lesion histogram analysis of the apparent diffusion coefficient.

Authors:  Olivio F Donati; Yousef Mazaheri; Asim Afaq; Hebert A Vargas; Junting Zheng; Chaya S Moskowitz; Hedvig Hricak; Oguz Akin
Journal:  Radiology       Date:  2013-12-12       Impact factor: 11.105

8.  Validation of quantitative analysis of multiparametric prostate MR images for prostate cancer detection and aggressiveness assessment: a cross-imager study.

Authors:  Yahui Peng; Yulei Jiang; Tatjana Antic; Maryellen L Giger; Scott E Eggener; Aytekin Oto
Journal:  Radiology       Date:  2014-02-12       Impact factor: 11.105

Review 9.  Prostate cancer and its mimics at multiparametric prostate MRI.

Authors:  J Yu; A S Fulcher; M A Turner; C H Cockrell; E P Cote; T J Wallace
Journal:  Br J Radiol       Date:  2014-03-20       Impact factor: 3.039

10.  ESUR prostate MR guidelines 2012.

Authors:  Jelle O Barentsz; Jonathan Richenberg; Richard Clements; Peter Choyke; Sadhna Verma; Geert Villeirs; Olivier Rouviere; Vibeke Logager; Jurgen J Fütterer
Journal:  Eur Radiol       Date:  2012-02-10       Impact factor: 5.315

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2.  Risk Stratification Among Men With Prostate Imaging Reporting and Data System version 2 Category 3 Transition Zone Lesions: Is Biopsy Always Necessary?

Authors:  Ely R Felker; Steven S Raman; Daniel J Margolis; David S K Lu; Nicholas Shaheen; Shyam Natarajan; Devi Sharma; Jiaoti Huang; Fred Dorey; Leonard S Marks
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Review 3.  [Selected clinically established and scientific techniques of diffusion-weighted MRI. In the context of imaging in oncology].

Authors:  M T Freitag; S Bickelhaupt; C Ziener; K Meier-Hein; J P Radtke; J Mosebach; T-A Kuder; H-P Schlemmer; F B Laun
Journal:  Radiologe       Date:  2016-02       Impact factor: 0.635

4.  Calculation of Apparent Diffusion Coefficients in Prostate Cancer Using Deep Learning Algorithms: A Pilot Study.

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Journal:  Front Oncol       Date:  2021-09-09       Impact factor: 6.244

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