Literature DB >> 23149511

Ultrasound tissue characterization of the normal kidney.

Ana Luiza D Valiente Engelhorn1, Carlos Alberto Engelhorn, Sergio X Salles-Cunha, Ricardo Ehlert, Fernando Kenji Akiyoshi, Kassyana Weinfurter Assad.   

Abstract

AIM: Ultrasound tissue characterization (USTC) is a precursor of ultrasound virtual histology (USVH), already applied to B-mode images of coronary, carotid, and peripheral arteries, as well as venous thrombosis. Elevated echogenicity has been described for a rejected transplanted kidney. We analyzed data from healthy young adults as reference for further renal USTC.
METHODS: Ultrasound kidney images of 10 volunteers were analyzed. Pixel brightness in the 0-to-255 range was rescaled to zero for black and 200 for fascia brightness before automatic classification into 14 ranges, including "blood-like" (0-4), "fat-like" (8-26), "hypoechoic muscle-like" (41-60), "hyperechoic muscle-like" (61-76), 4 ranges of "fiber-like" (112-196), "calcium-like" (211-255) and intermediary intervals. Nomenclature was readapted using nonechoic, hypoechoic I to IV, echoic I to IV, hyperechoic I to IV, and saturated echoes to avoid inference to actual kidney tissue. Descriptive and comparative statistics were based on percentages of pixels in specific brightness ranges. SAMPLE POPULATION: Eight women and 2 men, 26 ± 4 years (range, 22-34 years) old, were studied. Kidney length was 10.5 ± 0.9 cm (9.0-12.0 cm). Doppler US resistivity index was 0.67 ± 0.03 (0.62-0.71).
RESULTS: Original fascia brightness converted to 200 value had a mean ± SD of 206 ± 16 (range, 181-236). Kidney grayscale median averaged 37 ± 6 (27-48). Most pixels were hypoechoic II to IV (8-60), averaging 78% ± 6% (66%-87%). Percentages for fat-like, intermediary fat/muscle-like, and hypoechoic muscle-like intervals averaged 25%, 28%, and 25%, respectively.
CONCLUSIONS: A reference database for USTC/USVH of normal young kidneys was created for future comparisons with transplanted and abnormal kidneys. Normal renal echoes have low brightness. Hyperechoic pixels may represent abnormalities.

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Year:  2012        PMID: 23149511     DOI: 10.1097/RUQ.0b013e318276f12b

Source DB:  PubMed          Journal:  Ultrasound Q        ISSN: 0894-8771            Impact factor:   1.657


  4 in total

1.  Objective image analysis of real-time three-dimensional intraoperative ultrasound for intrinsic brain tumour surgery.

Authors:  Sophie J Camp; Vasileios Apostolopoulos; Vasileios Raptopoulos; Amrish Mehta; Kevin O'Neill; Mohammed Awad; Babar Vaqas; David Peterson; Federico Roncaroli; Dipankar Nandi
Journal:  J Ther Ultrasound       Date:  2017-02-16

2.  Pantoprazole-induced acute kidney injury: A case report.

Authors:  Tao Peng; Zhao Hu; Hongnan Zheng; Junhui Zhen; Chengjun Ma; Xiangdong Yang
Journal:  Exp Ther Med       Date:  2018-04-23       Impact factor: 2.447

3.  Proposal for computer-aided diagnosis based on ultrasound images of the kidney: is it possible to compare shades of gray among such images?

Authors:  Gustavo Lopes Gomes de Siqueira; Robson Pequeno de Sousa; Ricardo Alves de Olinda; Carlos Alberto Engelhorn; André Luiz Siqueira da Silva; Juliana Gonçalves Almeida
Journal:  Radiol Bras       Date:  2021 Jan-Feb

4.  Use of ultrasound imaging software to differentiate venous and lymphatic edema in lower limbs.

Authors:  Vanessa Lôbo de Carvalho; Guilherme Benjamin Brandão Pitta; Sérgio Xavier Salles Cunha
Journal:  J Vasc Bras       Date:  2020-11-30
  4 in total

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