Literature DB >> 20138721

Diagnostic utility of DTI in prostate cancer.

Bengi Gürses1, Neslihan Tasdelen, Faruk Yencilek, N Ozgür Kılıckesmez, Turgut Alp, Zeynep Fırat, M Selami Albayrak, Aziz M Uluğ, A Nevzat Gürmen.   

Abstract

PURPOSE: The aim of this study was to compare the diffusion tensor parameters of prostate cancer, prostatitis and normal prostate tissue.
MATERIALS AND METHODS: A total of 25 patients with the suspicion of prostate cancer were included in the study. MRI was performed with 3 T system (Intera Achieva, Philips Medical Systems, The Netherlands). T2 TSE and DTI with ss-EPI were obtained in each subject. TRUS-guided prostate biopsy was performed after the MRI examination. Images were analyzed by two radiologists using a special software system. ROI's were drawn according to biopsy zones which are apex, midgland, base and central zone on each sides of the gland. FA and ADC values in areas of cancer, chronic prostatitis and normal prostate tissue were compared using Student's t-test.
RESULTS: Histopathological analysis revealed carcinoma in 68, chronic prostatitis in 67 and was reported as normal in 65 zones. The mean FA of cancerous tissue was significantly higher (p<0.01) than the FA of chronic prostatitis and normal gland. The mean ADC of cancerous tissue was found to be significantly lower (p<0.01), compared with non-cancerous tissue.
CONCLUSION: Decreased ADC and increased FA are compatible with the hypercellular nature of prostate tumors. These differences may increase the accuracy of MRI in the detection of carcinoma and to differentiate between cancer and prostatitis.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20138721     DOI: 10.1016/j.ejrad.2010.01.009

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  12 in total

1.  Age-related changes of normal prostate: evaluation by MR diffusion tensor imaging.

Authors:  Ji Zhang; Wei-Zhong Tian; Chun-Hong Hu; Tian-Li Niu; Xiu-Lan Wang; Xiao-Yun Chen
Journal:  Int J Clin Exp Med       Date:  2015-07-15

2.  In vivo 3T and ex vivo 7T diffusion tensor imaging of prostate cancer: Correlation with histology.

Authors:  Carlos F Uribe; Edward C Jones; Silvia D Chang; S Larry Goldenberg; Stefan A Reinsberg; Piotr Kozlowski
Journal:  Magn Reson Imaging       Date:  2015-02-24       Impact factor: 2.546

3.  Application of DTI and ARFI imaging in differential diagnosis of parotid tumours.

Authors:  Jinfen Yu; Yanfei Du; Yong Lu; Weidong Zhang; Dongsheng Zhang; Guangbin Wang; Chuanting Li
Journal:  Dentomaxillofac Radiol       Date:  2016-07-22       Impact factor: 2.419

4.  Quantitative study of prostate cancer using three dimensional fiber tractography.

Authors:  Sandeep Hedgire; Alexey Tonyushkin; Aoife Kilcoyne; Jason A Efstathiou; Peter F Hahn; Mukesh Harisinghani
Journal:  World J Radiol       Date:  2016-04-28

5.  Correlation of diffusion tensor imaging parameters and Gleason scores of prostate cancer.

Authors:  Weizhong Tian; Ji Zhang; Fangzheng Tian; Junkang Shen; Tianli Niu; Guohua He; Hong Yu
Journal:  Exp Ther Med       Date:  2017-10-24       Impact factor: 2.447

6.  Clinical utility of combined T2-weighted imaging and T2-mapping in the detection of prostate cancer: a multi-observer study.

Authors:  Chau Hung Lee; Matthias Taupitz; Patrick Asbach; Julian Lenk; Matthias Haas
Journal:  Quant Imaging Med Surg       Date:  2020-09

7.  Relationship between T2 relaxation and apparent diffusion coefficient in malignant and non-malignant prostate regions and the effect of peripheral zone fractional volume.

Authors:  C J Simpkin; V A Morgan; S L Giles; S F Riches; C Parker; N M deSouza
Journal:  Br J Radiol       Date:  2013-02-20       Impact factor: 3.039

Review 8.  Benign Conditions That Mimic Prostate Carcinoma: MR Imaging Features with Histopathologic Correlation.

Authors:  Yu Xuan Kitzing; Adilson Prando; Celi Varol; Gregory S Karczmar; Fiona Maclean; Aytekin Oto
Journal:  Radiographics       Date:  2015-11-20       Impact factor: 5.333

9.  Evaluation of Peripheral Zone Prostate Cancer Aggressiveness Using the Ratio of Diffusion Tensor Imaging Measures.

Authors:  Aslihan Onay; Gokhan Ertas; Metin Vural; Omer Acar; Yesim Saglican; Bilgen Coskun; Sergin Akpek
Journal:  Contrast Media Mol Imaging       Date:  2017-09-26       Impact factor: 3.161

Review 10.  Cancer Metabolism and Tumor Heterogeneity: Imaging Perspectives Using MR Imaging and Spectroscopy.

Authors:  Gigin Lin; Kayvan R Keshari; Jae Mo Park
Journal:  Contrast Media Mol Imaging       Date:  2017-10-09       Impact factor: 3.161

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