Literature DB >> 16498100

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

Hong Li1, Kazuro Sugimura, Yasushi Kaji, Yuri Kitamura, Masahiko Fujii, Isao Hara, Mayumi Tachibana.   

Abstract

OBJECTIVES: Our objectives were to evaluate the diagnostic capabilities of conventional MRI for the accurate detection of prostate cancer within the transition zone and to compare the results with histopathologic examination results.
MATERIALS AND METHODS: One hundred sixteen prostate specimens with prostate cancer were consecutively obtained. Axial, sagittal, and coronal T2- and T1-weighted MR images with gadopentetate dimeglumine were independently reviewed by two radiologists. The diagnostic base criteria of the MR images were determined for detecting transition zone cancer as follows: lesions with A, uniform low intensity on T2-weighted images; B, homogeneous gadolinium enhancement; and C, irregular margins both on gadolinium-enhanced and T2-weighted images. Wilcoxon's rank sum and chi-square tests and receiver operating characteristic curves were used. Differences of less than 0.05 were considered significant.
RESULTS: Eighty-six lesions in the transition zone were analyzed. Histopathologic analysis showed 53 cancers and 33 benign lesions. The diagnostic sensitivity, specificity, and accuracy for cancer were 50%, 51%, and 51%, respectively with criteria A; 68%, 75%, and 71% with criteria B; and 60%, 72%, and 65% with criteria C. When base criteria were combined into criteria A-B, A-C, and B-C and then further divided into three subgroups, accuracy was found to be highest when the lesion satisfied any two criteria from A, B, and C than those of base criteria, combination criteria, and the other two subgroups.
CONCLUSION: The addition of gadolinium-enhanced MRI to T2-weighted imaging provides better accuracy for detecting cancerous transition zone lesions than the use of T2-weighted imaging alone.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16498100     DOI: 10.2214/AJR.04.0775

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


  19 in total

1.  Ultra-high-b-value diffusion-weighted MR imaging for the detection of prostate cancer: evaluation in 201 cases with histopathological correlation.

Authors:  Kazuhiro Katahira; Taro Takahara; Thomas C Kwee; Seitaro Oda; Yasuko Suzuki; Shoji Morishita; Kosuke Kitani; Yasuyuki Hamada; Mitsuhiko Kitaoka; Yasuyuki Yamashita
Journal:  Eur Radiol       Date:  2010-07-18       Impact factor: 5.315

2.  Diagnosis of typical and atypical transition zone prostate cancer and its mimics at multiparametric prostate MRI.

Authors:  Jinxing Yu; Ann S Fulcher; Sarah G Winks; Mary A Turner; Ryan D Clayton; Michael Brooks; Sean Li
Journal:  Br J Radiol       Date:  2017-03-29       Impact factor: 3.039

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

Authors:  K C McCammack; C J Kane; J K Parsons; N S White; N M Schenker-Ahmed; J M Kuperman; H Bartsch; R S Desikan; R A Rakow-Penner; D Adams; M A Liss; R F Mattrey; W G Bradley; D J A Margolis; S S Raman; A Shabaik; A M Dale; D S Karow
Journal:  Prostate Cancer Prostatic Dis       Date:  2016-01-12       Impact factor: 5.554

4.  Multi-parametric MR imaging of transition zone prostate cancer: Imaging features, detection and staging.

Authors:  Arda Kayhan; Xiaobing Fan; Jacob Oommen; Aytekin Oto
Journal:  World J Radiol       Date:  2010-05-28

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

Authors:  Aytekin Oto; Arda Kayhan; Yulei Jiang; Maria Tretiakova; Cheng Yang; Tatjana Antic; Farid Dahi; Arieh L Shalhav; Gregory Karczmar; Walter M Stadler
Journal:  Radiology       Date:  2010-09-15       Impact factor: 11.105

Review 6.  Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications.

Authors:  Lizhi Liu; Zhiqiang Tian; Zhenfeng Zhang; Baowei Fei
Journal:  Acad Radiol       Date:  2016-04-25       Impact factor: 3.173

7.  Interactive dedicated training curriculum improves accuracy in the interpretation of MR imaging of prostate cancer.

Authors:  Oguz Akin; Christopher C Riedl; Nicole M Ishill; Chaya S Moskowitz; Jingbo Zhang; Hedvig Hricak
Journal:  Eur Radiol       Date:  2010-04       Impact factor: 5.315

8.  Molecular imaging and fusion targeted biopsy of the prostate.

Authors:  Baowei Fei; Peter T Nieh; Viraj A Master; Yun Zhang; Adeboye O Osunkoya; David M Schuster
Journal:  Clin Transl Imaging       Date:  2016-12-01

9.  Differentiating Transition Zone Cancers From Benign Prostatic Hyperplasia by Quantitative Multiparametric Magnetic Resonance Imaging.

Authors:  Osama Elbuluk; Naira Muradyan; Joanna Shih; Marcelino Bernardo; Sandeep Sankineni; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  J Comput Assist Tomogr       Date:  2016 Mar-Apr       Impact factor: 1.826

10.  Dynamic contrast-enhanced MRI of anterior prostate cancer: morphometric assessment and correlation with radical prostatectomy findings.

Authors:  Laurent Lemaitre; Philippe Puech; Edouard Poncelet; Sébastien Bouyé; Xavier Leroy; Jacques Biserte; Arnauld Villers
Journal:  Eur Radiol       Date:  2008-08-29       Impact factor: 5.315

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.