Literature DB >> 20843992

Prostate cancer: differentiation of central gland cancer from benign prostatic hyperplasia by using diffusion-weighted and dynamic contrast-enhanced MR imaging.

Aytekin Oto1, Arda Kayhan, Yulei Jiang, Maria Tretiakova, Cheng Yang, Tatjana Antic, Farid Dahi, Arieh L Shalhav, Gregory Karczmar, Walter M Stadler.   

Abstract

PURPOSE: To analyze the diffusion and perfusion parameters of central gland (CG) prostate cancer, stromal hyperplasia (SH), and glandular hyperplasia (GH) and to determine the role of these parameters in the differentiation of CG cancer from benign CG hyperplasia.
MATERIALS AND METHODS: In this institutional review board-approved (with waiver of informed consent), HIPAA-compliant study, 38 foci of carcinoma, 38 SH nodules, and 38 GH nodules in the CG were analyzed in 49 patients (26 with CG carcinoma) who underwent preoperative endorectal magnetic resonance (MR) imaging and radical prostatectomy. All carcinomas and hyperplastic foci on MR images were localized on the basis of histopathologic correlation. The apparent diffusion coefficient (ADC), the contrast agent transfer rate between blood and tissue (K(trans)), and extravascular extracellular fractional volume values for all carcinoma, SH, and GH foci were calculated. The mean, standard deviation, 95% confidence interval (CI), and range of each parameter were calculated. Receiver operating characteristic (ROC) and multivariate logistic regression analyses were performed for differentiation of CG cancer from SH and GH foci.
RESULTS: The average ADCs (× 10(-3) mm(2)/sec) were 1.05 (95% CI: 0.97, 1.11), 1.27 (95% CI: 1.20, 1.33), and 1.73 (95% CI: 1.64, 1.83), respectively, in CG carcinoma, SH foci, and GH foci and differed significantly, yielding areas under the ROC curve (AUCs) of 0.99 and 0.78, respectively, for differentiation of carcinoma from GH and SH. Perfusion parameters were similar in CG carcinomas and SH foci, with K(trans) yielding the greatest AUCs (0.75 and 0.58, respectively). Adding K(trans) to ADC in ROC analysis to differentiate CG carcinoma from SH increased sensitivity from 38% to 57% at 90% specificity without noticeably increasing the AUC (0.79).
CONCLUSION: ADCs differ significantly between CG carcinoma, SH, and GH, and the use of them can improve the differentiation of CG cancer from SH and GH. Combining K(trans) with ADC can potentially improve the detection of CG cancer. SUPPLEMENTAL MATERIAL: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.10100021/-/DC1. © RSNA, 2010

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Year:  2010        PMID: 20843992      PMCID: PMC6939960          DOI: 10.1148/radiol.10100021

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


  38 in total

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2.  A quadratic model for combining quantitative diagnostic assessments from radiologist and computer in computer-aided diagnosis.

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3.  Differentiation of noncancerous tissue and cancer lesions by apparent diffusion coefficient values in transition and peripheral zones of the prostate.

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4.  Differentiation of prostatic carcinoma and benign prostatic hyperplasia: correlation between dynamic Gd-DTPA-enhanced MR imaging and histopathology.

Authors:  L W Turnbull; D L Buckley; L S Turnbull; G P Liney; A J Knowles
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5.  Long-term followup of young patients with stage A adenocarcinoma of the prostate.

Authors:  M L Blute; H Zincke; G M Farrow
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6.  Transition zone carcinoma of the prostate gland: a common indolent tumour type that occasionally manifests aggressive behaviour.

Authors:  Beverley A Shannon; John E McNeal; Ronald J Cohen
Journal:  Pathology       Date:  2003-12       Impact factor: 5.306

7.  Prostate cancer detection with multi-parametric MRI: logistic regression analysis of quantitative T2, diffusion-weighted imaging, and dynamic contrast-enhanced MRI.

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8.  Conventional MRI capabilities in the diagnosis of prostate cancer in the transition zone.

Authors:  Hong Li; Kazuro Sugimura; Yasushi Kaji; Yuri Kitamura; Masahiko Fujii; Isao Hara; Mayumi Tachibana
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9.  Usefulness of diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging in the diagnosis of prostate transition-zone cancer.

Authors:  T Yoshizako; A Wada; T Hayashi; K Uchida; M Sumura; N Uchida; H Kitagaki; M Igawa
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Review 10.  Zonal origin of prostatic adenocarcinoma: are there biologic differences between transition zone and peripheral zone adenocarcinomas of the prostate gland?

Authors:  D J Grignon; W A Sakr
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  93 in total

1.  Exponential apparent diffusion coefficient in evaluating prostate cancer at 3 T: preliminary experience.

Authors:  Sung Y Park; Chan K Kim; Jung J Park; Byung K Park
Journal:  Br J Radiol       Date:  2015-12-10       Impact factor: 3.039

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Journal:  Nat Rev Urol       Date:  2015-07-14       Impact factor: 14.432

Review 3.  [Diffusion-weighted MRI of the prostate].

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4.  Diagnostic value of semi-quantitative and quantitative analysis of functional parameters in multiparametric MRI of the prostate.

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5.  Diagnosis of transition zone prostate cancer using T2-weighted (T2W) MRI: comparison of subjective features and quantitative shape analysis.

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6.  In vivo prostate cancer detection and grading using restriction spectrum imaging-MRI.

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Journal:  Prostate Cancer Prostatic Dis       Date:  2016-01-12       Impact factor: 5.554

7.  Novel application of three-dimensional shear wave elastography in the detection of clinically significant prostate cancer.

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Journal:  Biomed Rep       Date:  2018-02-07

8.  Influence of imaging and histological factors on prostate cancer detection and localisation on multiparametric MRI: a prospective study.

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Review 9.  Clinical applications for diffusion magnetic resonance imaging in radiotherapy.

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10.  Zinc-sensitive MRI contrast agent detects differential release of Zn(II) ions from the healthy vs. malignant mouse prostate.

Authors:  M Veronica Clavijo Jordan; Su-Tang Lo; Shiuhwei Chen; Christian Preihs; Sara Chirayil; Shanrong Zhang; Payal Kapur; Wen-Hong Li; Luis M De Leon-Rodriguez; Angelo J M Lubag; Neil M Rofsky; A Dean Sherry
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