Literature DB >> 24082489

Authors' reply.

Ankur Goyal1, Raju Sharma, Ashu S Bhalla, Shivanand Gamanagatti, Amlesh Seth.   

Abstract

Entities:  

Year:  2013        PMID: 24082489      PMCID: PMC3777334     

Source DB:  PubMed          Journal:  Indian J Radiol Imaging        ISSN: 0970-2016


× No keyword cloud information.
Dear Sir, We appreciate the interest shown by Sivrioglu et al. in our article. Some of the concerns raised by the authors have already been discussed in our article.[1] Nevertheless, we take this opportunity to further clarify the contentious issues. We have been doing diffusion-weighted MRI (DW-MRI) as part of the protocol for renal lesion evaluation since 2008, employing b-values of 0 and 500 s/mm2, and have published data from the same.[23] The present article was based on a retrospective review of patients who underwent DW-MRI for characterization of focal renal lesions and not primarily for evaluation of renal function. Through this study, we wanted to highlight an additional benefit of renal DW-MRI which we encountered, that apparent diffusion coefficient (ADC) values may serve as an additional paradigm to identify and estimate the degree of renal dysfunction. The ADC values in the renal cortex and medulla were not measured separately because as pointed out by previous studies, it is usually difficult to position the region of interest (ROI) cursor accurately in these areas.[4567] In addition, there is loss of cortico-medullary differentiation in renal parenchymal disease, which makes the precise placement of ROIs separately on cortex and medulla impractical.[678] Low ADC values in renal parenchymal disease can be explained both by reduced perfusion as well as by reduced water diffusion, and ADC values calculated from b-values of 0 and 500 s/mm2 represent the combined effects of both. Such a monoexponential model using two b-values has been used by majority of previous investigators[4567910] because it is easy and straightforward to use. To separately evaluate diffusion and perfusion contributions, biexponential fitting model needs to be employed using a large range of b-values.[11] Increased acquisition time and complicated calculation software may, however, pose hindrance for its routine clinical use and such protocols are still in investigational stage.[1112] Prospective studies based on biexponential model may provide insights into the relative contribution of diffusion and perfusion and whether these two factors separately correlate with the degree of renal dysfunction/parenchymal fibrosis. Our study was not planned with this objective, and as alluded to earlier, DW-MRI was done to evaluate renal mass lesions. Majority of the studies on DW-MRI in kidney[467910] have employed two b-values with lower b-value 0 s/mm2 and higher b-value ranging from 500 to 800 s/mm2. The maximum b-value of 500 is an optimal compromise between adequate diffusion weighting and image quality on 1.5 T, since higher b-values are associated with decrease in signal-to-noise ratio. Use of more than two b-values in the monoexponential model may not have any beneficial effect; rather, it may decrease the image quality.[1012]
  12 in total

1.  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

2.  Diffusion-weighted MR imaging of native and transplanted kidneys.

Authors:  Harriet C Thoeny; Frederik De Keyzer
Journal:  Radiology       Date:  2011-04       Impact factor: 11.105

3.  Understanding the mathematics involved in calculating apparent diffusion coefficient maps.

Authors:  Michael Yong Park; Jae Young Byun
Journal:  AJR Am J Roentgenol       Date:  2012-12       Impact factor: 3.959

4.  Correlation between estimated glomerular filtration rate (eGFR) and apparent diffusion coefficient (ADC) values of the kidneys.

Authors:  Reiko Toya; Shinji Naganawa; Hisashi Kawai; Mitsuru Ikeda
Journal:  Magn Reson Med Sci       Date:  2010       Impact factor: 2.471

5.  Diffusion-weighted MRI in renal cell carcinoma: a surrogate marker for predicting nuclear grade and histological subtype.

Authors:  Ankur Goyal; Raju Sharma; Ashu S Bhalla; Shivanand Gamanagatti; Amlesh Seth; Venkateswaran K Iyer; Prasenjit Das
Journal:  Acta Radiol       Date:  2012-04-01       Impact factor: 1.990

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.  Diffusion-weighted MR imaging of kidneys in patients with chronic kidney disease: initial study.

Authors:  Xueqin Xu; Wenqiang Fang; Huawei Ling; Weimin Chai; Kemin Chen
Journal:  Eur Radiol       Date:  2009-09-30       Impact factor: 5.315

8.  Renal lesions: characterization with diffusion-weighted imaging versus contrast-enhanced MR imaging.

Authors:  Bachir Taouli; Ravi K Thakur; Lorenzo Mannelli; James S Babb; Sooah Kim; Elizabeth M Hecht; Vivian S Lee; Gary M Israel
Journal:  Radiology       Date:  2009-03-10       Impact factor: 11.105

9.  Diffusion-weighted MRI in inflammatory renal lesions: all that glitters is not RCC!

Authors:  Ankur Goyal; Raju Sharma; Ashu S Bhalla; Shivanand Gamanagatti; Amlesh Seth
Journal:  Eur Radiol       Date:  2012-07-15       Impact factor: 5.315

10.  Diffusion-weighted MRI in assessment of renal dysfunction.

Authors:  Ankur Goyal; Raju Sharma; Ashu S Bhalla; Shivanand Gamanagatti; Amlesh Seth
Journal:  Indian J Radiol Imaging       Date:  2012-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.