Literature DB >> 27170301

Imaging in Chronic Kidney Disease.

Mario Meola, Sara Samoni, Ilaria Petrucci.   

Abstract

Chronic kidney disease (CKD) diagnosis and staging are based on estimated or calculated glomerular filtration rate (GFR), urinalysis and kidney structure at renal imaging techniques. Ultrasound (US) has a key role in evaluating both morphological changes (by means of B-Mode) and patterns of vascularization (by means of color-Doppler and contrast-enhanced US), thus contributing to CKD diagnosis and to the follow-up of its progression. In CKD, conventional US allows measuring longitudinal diameter and cortical thickness and evaluating renal echogenicity and urinary tract status. Maximum renal length is usually considered a morphological marker of CKD, as it decreases contemporarily to GFR, and should be systematically recorded in US reports. More recently, it has been found to be a significant correlation of both renal longitudinal diameter and cortical thickness with renal function. Conventional US should be integrated by color Doppler, which shows parenchymal perfusion and patency of veins and arteries, and by spectral Doppler, which is crucial for the diagnosis of renal artery stenosis and provides important information about intrarenal microcirculation. Different values of renal resistive indexes (RIs) have been associated with different primary diseases, as they reflect vascular compliance. Since RIs significantly correlate with renal function, they have been proposed to be independent risk factors for CKD progression, besides proteinuria, low GFR and arterial hypertension. Despite several new applications, US and color Doppler contribute to a definite diagnosis in <50% of cases of CKD, because of the lack of specific US patterns, especially in cases of advanced CKD. However, US is useful to evaluate CKD progression and to screen patients at risk for CKD. The indications and the recommended frequency of color Doppler US could differ in each case and the follow-up should be tailored.
© 2016 S. Karger AG, Basel.

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Mesh:

Year:  2016        PMID: 27170301     DOI: 10.1159/000445469

Source DB:  PubMed          Journal:  Contrib Nephrol        ISSN: 0302-5144            Impact factor:   1.580


  10 in total

1.  Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks.

Authors:  Shi Yin; Qinmu Peng; Hongming Li; Zhengqiang Zhang; Xinge You; Katherine Fischer; Susan L Furth; Gregory E Tasian; Yong Fan
Journal:  Med Image Anal       Date:  2019-11-08       Impact factor: 8.545

Review 2.  Ultrasound and color Doppler applications in chronic kidney disease.

Authors:  Ilaria Petrucci; Anna Clementi; Concetto Sessa; Irene Torrisi; Mario Meola
Journal:  J Nephrol       Date:  2018-09-06       Impact factor: 3.902

3.  Auto-Segmentation Ultrasound-Based Radiomics Technology to Stratify Patient With Diabetic Kidney Disease: A Multi-Center Retrospective Study.

Authors:  Jifan Chen; Peile Jin; Yue Song; Liting Feng; Jiayue Lu; Hongjian Chen; Lei Xin; Fuqiang Qiu; Zhang Cong; Jiaxin Shen; Yanan Zhao; Wen Xu; Chenxi Cai; Yan Zhou; Jinfeng Yang; Chao Zhang; Qin Chen; Xiang Jing; Pintong Huang
Journal:  Front Oncol       Date:  2022-07-04       Impact factor: 5.738

4.  Machine Learning-Aided Chronic Kidney Disease Diagnosis Based on Ultrasound Imaging Integrated with Computer-Extracted Measurable Features.

Authors:  Sangmi Lee; Myeongkyun Kang; Keunho Byeon; Sang Eun Lee; In Ho Lee; Young Ah Kim; Shin-Wook Kang; Jung Tak Park
Journal:  J Digit Imaging       Date:  2022-04-11       Impact factor: 4.903

5.  TRANSFER LEARNING FOR DIAGNOSIS OF CONGENITAL ABNORMALITIES OF THE KIDNEY AND URINARY TRACT IN CHILDREN BASED ON ULTRASOUND IMAGING DATA.

Authors:  Qiang Zheng; Gregory Tasian; Yong Fan
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2018-05-24

6.  Potential value of three-dimensional ultrasonography in diagnosis of diabetic nephropathy in Chinese diabetic population with kidney injury.

Authors:  Nan Li; Yi-Ru Wang; Xiao-Qi Tian; Lin Lin; Shu-Yuan Liang; Qiu-Yang Li; Xiang Fei; Jie Tang; Yu-Kun Luo
Journal:  BMC Nephrol       Date:  2020-06-29       Impact factor: 2.388

7.  Diagnosis of Chronic Kidney Disease by Three-Dimensional Contrast-Enhanced Ultrasound Combined with Augmented Reality Medical Technology.

Authors:  Yan Zhuang; Juanjuan Sun; Jiaqiang Liu
Journal:  J Healthc Eng       Date:  2021-03-16       Impact factor: 2.682

8.  Automated measurement of total kidney volume from 3D ultrasound images of patients affected by polycystic kidney disease and comparison to MR measurements.

Authors:  Jaidip M Jagtap; Adriana V Gregory; Heather L Homes; Darryl E Wright; Marie E Edwards; Zeynettin Akkus; Bradley J Erickson; Timothy L Kline
Journal:  Abdom Radiol (NY)       Date:  2022-04-27

Review 9.  The old becomes new: advances in imaging techniques to assess nephron mass in children.

Authors:  Marissa J DeFreitas; Chryso P Katsoufis; Juan C Infante; Michael L Granda; Carolyn L Abitbol; Alessia Fornoni
Journal:  Pediatr Nephrol       Date:  2020-01-17       Impact factor: 3.714

Review 10.  Establishing the presence or absence of chronic kidney disease: Uses and limitations of formulas estimating the glomerular filtration rate.

Authors:  Ahmed Alaini; Deepak Malhotra; Helbert Rondon-Berrios; Christos P Argyropoulos; Zeid J Khitan; Dominic S C Raj; Mark Rohrscheib; Joseph I Shapiro; Antonios H Tzamaloukas
Journal:  World J Methodol       Date:  2017-09-26
  10 in total

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