Literature DB >> 22733900

The clinical value of diffusion-weighted imaging in combination with T2-weighted imaging in diagnosing prostate carcinoma: a systematic review and meta-analysis.

Lian-Ming Wu1, Jian-Rong Xu, Yong-Quan Ye, Qing Lu, Jia-Ni Hu.   

Abstract

OBJECTIVE: We aimed to explore the role of diffusion-weighted imaging (DWI) in combination with T2-weighted imaging (T2WI) in detecting prostate carcinoma through a systematic review and meta-analysis.
MATERIALS AND METHODS: The MEDLINE, EMBASE, Cancerlit, and Cochrane Library databases were searched for studies published from January 2001 to July 2011 evaluating the diagnostic performance of T2WI combined with DWI in detecting prostate carcinoma. We determined sensitivities and specificities across studies, calculated positive and negative likelihood ratios, and constructed summary receiver operating characteristic curves. We also compared the performance of T2WI combined with DWI with T2WI alone by analyzing studies that had also used these diagnostic methods on the same patients.
RESULTS: Across 10 studies (627 patients), the pooled sensitivity of T2WI combined with DWI was 0.76 (95% CI, 0.65-0.84), and the pooled specificity was 0.82 (95% CI, 0.77-0.87). Overall, the positive likelihood ratio was 4.31 (95% CI, 3.12-5.92), and the negative likelihood ratio was 0.29 (95% CI, 0.20-0.43). In seven studies in which T2WI combined with DWI and T2WI alone were performed, the sensitivity and specificity of T2WI combined with DWI were 0.72 (95% CI, 0.67-0.82) and 0.81 (95% CI, 0.76-0.86), respectively, and the sensitivity and specificity of T2WI alone were 0.62 (95% CI, 0.55-0.68) and 0.77 (95% CI, 0.71-0.82), respectively.
CONCLUSION: T2WI combined with DWI may be a valuable tool for detecting prostate cancer in the overall evaluation of prostate cancer, compared with T2WI alone. High-quality prospective studies of T2WI combined with DWI to detect prostate carcinoma still need to be conducted.

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Year:  2012        PMID: 22733900     DOI: 10.2214/AJR.11.7634

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


  47 in total

1.  Apparent diffusion coefficient value as a biomarker reflecting morphological and biological features of prostate cancer.

Authors:  Hyeyeol Bae; Soichiro Yoshida; Yoh Matsuoka; Hiroshi Nakajima; Eisaku Ito; Hiroshi Tanaka; Miyako Oya; Takayuki Nakayama; Hideki Takeshita; Toshiki Kijima; Junichiro Ishioka; Noboru Numao; Fumitaka Koga; Kazutaka Saito; Takumi Akashi; Yasuhisa Fujii; Kazunori Kihara
Journal:  Int Urol Nephrol       Date:  2014-03       Impact factor: 2.370

2.  Pilot Study of the Use of Hybrid Multidimensional T2-Weighted Imaging-DWI for the Diagnosis of Prostate Cancer and Evaluation of Gleason Score.

Authors:  Meredith Sadinski; Gregory Karczmar; Yahui Peng; Shiyang Wang; Yulei Jiang; Milica Medved; Ambereen Yousuf; Tatjana Antic; Aytekin Oto
Journal:  AJR Am J Roentgenol       Date:  2016-06-28       Impact factor: 3.959

3.  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

Review 4.  Current use of PSMA-PET in prostate cancer management.

Authors:  Tobias Maurer; Matthias Eiber; Markus Schwaiger; Jürgen E Gschwend
Journal:  Nat Rev Urol       Date:  2016-02-23       Impact factor: 14.432

Review 5.  Added value of diffusion-weighted acquisitions in MRI of the abdomen and pelvis.

Authors:  William A Moore; Gaurav Khatri; Ananth J Madhuranthakam; Robert D Sims; Ivan Pedrosa
Journal:  AJR Am J Roentgenol       Date:  2014-05       Impact factor: 3.959

Review 6.  Multiparametric magnetic resonance imaging: Overview of the technique, clinical applications in prostate biopsy and future directions.

Authors:  Hüseyin Cihan Demirel; John Warren Davis
Journal:  Turk J Urol       Date:  2018-03-01

Review 7.  Biparametric MRI of the prostate.

Authors:  Michele Scialpi; Alfredo D'Andrea; Eugenio Martorana; Corrado Maria Malaspina; Maria Cristina Aisa; Maria Napoletano; Emanuele Orlandi; Valeria Rondoni; Pietro Scialpi; Diamante Pacchiarini; Diego Palladino; Michele Dragone; Giancarlo Di Renzo; Annalisa Simeone; Giampaolo Bianchi; Luca Brunese
Journal:  Turk J Urol       Date:  2017-12-01

8.  Cost-effectiveness of MR Imaging-guided Strategies for Detection of Prostate Cancer in Biopsy-Naive Men.

Authors:  Shivani Pahwa; Nicholas K Schiltz; Lee E Ponsky; Ziang Lu; Mark A Griswold; Vikas Gulani
Journal:  Radiology       Date:  2017-05-17       Impact factor: 11.105

9.  Diffusion-weighted magnetic resonance imaging for the initial characterization of non-fatty soft tissue tumors: correlation between T2 signal intensity and ADC values.

Authors:  Pedro Augusto Gondim Teixeira; Frederique Gay; Bailiang Chen; Marie Zins; François Sirveaux; Jacques Felblinger; Alain Blum
Journal:  Skeletal Radiol       Date:  2015-12-01       Impact factor: 2.199

10.  Prostate cancer recurrence after radical prostatectomy: the role of 3-T diffusion imaging in multi-parametric magnetic resonance imaging.

Authors:  Valeria Panebianco; Flavio Barchetti; Alessandro Sciarra; Daniela Musio; Valerio Forte; Vincenzo Gentile; Vincenzo Tombolini; Carlo Catalano
Journal:  Eur Radiol       Date:  2013-02-02       Impact factor: 5.315

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