Literature DB >> 26185715

The Role of Apparent Diffusion Coefficient Quantification in Differentiating Benign and Malignant Renal Masses by 3 Tesla Magnetic Resonance Imaging.

Cemil Göya1, Cihad Hamidi1, Yaşar Bozkurt2, Alpaslan Yavuz3, Suzan Kuday4, Hatice Gümüş1, Gül Türkçü5, Salih Hattapoğlu1, Aslan Bilici1.   

Abstract

BACKGROUND: Diffusion-weighted magnetic resonance imaging (DWI) is a widely-accepted diagnostic modality whose efficacy has been investigated by numerous past studies in the differentiation of malignant lesions from benign entities. AIMS: The aim of this study was to evaluate the efficiency of diffusion-weighted magnetic resonance imaging in the characterization of renal lesions. STUDY
DESIGN: Diagnostic accuracy study.
METHODS: A total of 137 patients with renal lesions were included in this study. The median apparent diffusion coefficient (ADC) values as well as the b 800 and b 1600 signal intensities of normal kidneys, solid components of mixed renal masses, and total cystic lesions were evaluated.
RESULTS: There were significant differences between the ADC values of lesions and normal renal parenchyma, and between the ADC values of benign and malignant renal lesions on DWIs at b values of 800 and 1600 s/mm(2) (p<0.001 and p<0.001, respectively). There were significant differences between the ADC values of Bosniak Category 1 and 2 cysts and the ADC values of Bosniak Category 1 and 3 cysts on DWIs at b values of 800 s/mm(2) (p<0.001) and 1600 s/mm(2) (p<0.001). A cutoff value of 1.902 × 10(-3) mm(2)/s for the ADC with a b value of 800 s/mm(2) provided 88% sensitivity and 96% specificity for differentiation between benign and malignant renal lesions. A cutoff value of 1.623 × 10(-3) mm(2)/s for the ADC with a b value of 1600 s/mm(2) provided 79% sensitivity and 96% specificity (p<0.001) for the differentiation between benign and malignant renal lesions.
CONCLUSION: Accurate assessment of renal masses is important for determining the necessity for surgical intervention. DWI provides additional value by differentiating benign from malignant renal tumors and can be added to routine kidney MRI protocols.

Entities:  

Keywords:  3 T MRI; Apparent diffusion coefficient; diffusion-weighted magnetic resonance imaging; renal neoplasms

Year:  2015        PMID: 26185715      PMCID: PMC4497693          DOI: 10.5152/balkanmedj.2015.15475

Source DB:  PubMed          Journal:  Balkan Med J        ISSN: 2146-3123            Impact factor:   2.021


  18 in total

Review 1.  Diffusion MR imaging: clinical applications.

Authors:  D Le Bihan; R Turner; P Douek; N Patronas
Journal:  AJR Am J Roentgenol       Date:  1992-09       Impact factor: 3.959

2.  ADC measurement of abdominal organs and lesions using parallel imaging technique.

Authors:  Takeshi Yoshikawa; Hideaki Kawamitsu; Donald G Mitchell; Yoshiharu Ohno; Yonson Ku; Yasushi Seo; Masahiko Fujii; Kazuro Sugimura
Journal:  AJR Am J Roentgenol       Date:  2006-12       Impact factor: 3.959

3.  Diffusion-weighted single-shot echoplanar MR imaging for liver disease.

Authors:  T Kim; T Murakami; S Takahashi; M Hori; K Tsuda; H Nakamura
Journal:  AJR Am J Roentgenol       Date:  1999-08       Impact factor: 3.959

4.  Diffusion-weighted magnetic resonance imaging in evaluation of primary solid and cystic renal masses using the Bosniak classification.

Authors:  Ercan Inci; Elif Hocaoglu; Sibel Aydin; Tan Cimilli
Journal:  Eur J Radiol       Date:  2011-03-04       Impact factor: 3.528

5.  Ability and utility of diffusion-weighted MRI with different b values in the evaluation of benign and malignant renal lesions.

Authors:  S Doğanay; E Kocakoç; M Ciçekçi; S Ağlamiş; N Akpolat; I Orhan
Journal:  Clin Radiol       Date:  2011-02-21       Impact factor: 2.350

6.  Diffusion-weighted MRI in the evaluation of renal lesions: preliminary results.

Authors:  M Cova; E Squillaci; F Stacul; G Manenti; S Gava; G Simonetti; R Pozzi-Mucelli
Journal:  Br J Radiol       Date:  2004-10       Impact factor: 3.039

7.  Renal masses: quantitative assessment of enhancement with dynamic MR imaging.

Authors:  Vincent B Ho; Scott F Allen; Maureen N Hood; Peter L Choyke
Journal:  Radiology       Date:  2002-09       Impact factor: 11.105

8.  Renal masses: characterization with diffusion-weighted MR imaging--a preliminary experience.

Authors:  Jingbo Zhang; Yousef Mazaheri Tehrani; Liang Wang; Nicole M Ishill; Larry H Schwartz; Hedvig Hricak
Journal:  Radiology       Date:  2008-05       Impact factor: 11.105

9.  Fast magnetic resonance diffusion-weighted imaging of acute human stroke.

Authors:  S Warach; D Chien; W Li; M Ronthal; R R Edelman
Journal:  Neurology       Date:  1992-09       Impact factor: 9.910

10.  Combined gadolinium-enhanced and fat-saturation MR imaging of renal masses.

Authors:  R C Semelka; H Hricak; S K Stevens; R Finegold; E Tomei; P R Carroll
Journal:  Radiology       Date:  1991-03       Impact factor: 11.105

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  5 in total

1.  Diffusion-weighted imaging versus contrast-enhanced MR imaging for the differentiation of renal oncocytomas and chromophobe renal cell carcinomas.

Authors:  Yan Zhong; Haiyi Wang; Yanguang Shen; Aitao Guo; Jia Wang; Suhai Kang; Lu Ma; Jingjing Pan; Huiyi Ye
Journal:  Eur Radiol       Date:  2017-06-19       Impact factor: 5.315

2.  Usefulness of Apparent Diffusion Coefficient of Diffusion-Weighted Imaging for Differential Diagnosis of Primary Solid and Cystic Renal Masses.

Authors:  Mehmet Öztürk; Afra Ekinci; Şenol Fatih Elbir; Aylin Okur; Serap Doğan; Ökkeş Ibrahim Karahan
Journal:  Pol J Radiol       Date:  2017-04-13

3.  CT and MRI Findings in a Rare Case of Renal Primitive Neuroectodermal Tumor.

Authors:  Zehra Akkaya; Elif Peker; Basak Gulpinar; Hale Karadag; Ayse Erden
Journal:  Pol J Radiol       Date:  2016-08-27

4.  Value of diffusion-weighted imaging combined with conventional magnetic resonance imaging in the diagnosis of thecomas/fibrothecomas and their differential diagnosis with malignant pelvic solid tumors.

Authors:  Bing Yin; Wenhua Li; Yanfen Cui; Caiting Chu; Ming Ding; Jian Chen; Ping Zhang; Xiangru Wu
Journal:  World J Surg Oncol       Date:  2016-01-08       Impact factor: 2.754

5.  Optimal Experiment Design for Monoexponential Model Fitting: Application to Apparent Diffusion Coefficient Imaging.

Authors:  Mohammad Alipoor; Stephan E Maier; Irene Yu-Hua Gu; Andrew Mehnert; Fredrik Kahl
Journal:  Biomed Res Int       Date:  2015-12-28       Impact factor: 3.411

  5 in total

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