Literature DB >> 17367973

Multi-detector row CT of the kidney: optimizing scan delays for bolus tracking techniques of arterial, corticomedullary, and nephrographic phases.

Satoshi Goshima1, Masayuki Kanematsu, Hironori Nishibori, Hiroshi Kondo, Yusuke Tsuge, Ryujiro Yokoyama, Toshiharu Miyoshi, Minoru Onozuka, Yoshimune Shiratori, Noriyuki Moriyama, Kyongtae T Bae.   

Abstract

PURPOSE: To determine optimal scan delays for renal arterial-, corticomedullary-, and nephrographic-phase imaging with multi-detector row computed tomography (MDCT) of the kidney using a bolus-tracking technique. METHODS AND MATERIALS: One hundred and twenty-eight patients underwent three-phase CT scan of the kidney with eight-row MDCT after receiving 2 mL/kg of 300 mgI/mL contrast medium at 4 mL/s. Patients were prospectively randomized into three groups with different scan delays for the three scan phases (arterial, corticomedullary, and nephrographic) after bolus-tracking triggered at 50 HU of aortic contrast enhancement: group 1 (5, 20, 45 s); group 2 (10, 25, 50s); and group 3 (15, 30, 55 s). Mean CT values (HU) of the abdominal aorta, renal artery, renal vein, renal cortex, and renal medulla were measured; increases in CT values pre- to post-contrast were assessed as contrast enhancement. Renal artery-to-vein and renal cortex-to-medulla contrast differences were also assessed. Qualitative analysis was also performed.
RESULTS: Mean renal artery enhancement was 240-288 HU at 5-15s after the trigger and peaked at 10s (P<.001). Mean renal cortical enhancement was 195-217 HU at 10-30s and peaked at 25s (P<.01). Contrast enhancement in the renal medulla increased gradually and reached mean 145 HU at 55 s. Cortex-to-medulla contrast difference was high (110-140 HU) at 5-30s and decreased below 30 HU at 45 s after the trigger. Renal artery-to-vein contrast difference was high (121-125 HU) at 5-10s. Qualitative results correlated well with quantitative results.
CONCLUSION: For the injection protocol used in this study, optimal scan delays after the bolus-tracking trigger were 5-10 s for renal arterial, 15-25 s for corticomedullary, and 50-55 s for nephrographic phases.

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Year:  2007        PMID: 17367973     DOI: 10.1016/j.ejrad.2007.02.005

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  7 in total

Review 1.  Contrast medium administration and image acquisition parameters in renal CT angiography: what radiologists need to know.

Authors:  Charbel Saade; Ibrahim Alsheikh Deeb; Maha Mohamad; Hussain Al-Mohiy; Fadi El-Merhi
Journal:  Diagn Interv Radiol       Date:  2016 Mar-Apr       Impact factor: 2.630

2.  Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimation.

Authors:  Marius George Linguraru; Jesse K Sandberg; Zhixi Li; Furhawn Shah; Ronald M Summers
Journal:  Med Phys       Date:  2010-02       Impact factor: 4.071

3.  Atlas-based Automated Segmentation of Spleen and Liver using Adaptive Enhancement Estimation.

Authors:  Marius George Linguraru; Jesse K Sandberg; Zhixi Li; John A Pura; Ronald M Summers
Journal:  Med Image Comput Comput Assist Interv       Date:  2009

4.  Assessing splenomegaly: automated volumetric analysis of the spleen.

Authors:  Marius George Linguraru; Jesse K Sandberg; Elizabeth C Jones; Ronald M Summers
Journal:  Acad Radiol       Date:  2013-03-25       Impact factor: 3.173

5.  Renal Tumor Quantification and Classification in Contrast-Enhanced Abdominal CT.

Authors:  Marius George Linguraru; Jianhua Yao; Rabindra Gautam; James Peterson; Zhixi Li; W Marston Linehan; Ronald M Summers
Journal:  Pattern Recognit       Date:  2009-06-01       Impact factor: 7.740

6.  Optimization of scan delay for multi-phase computed tomography by using bolus tracking in normal canine kidney.

Authors:  Hyun Cho; Da-Hae Lee; Ah-Young Cha; Dong-Eun Kim; Dong-Woo Chang; Jihye Choi
Journal:  J Vet Sci       Date:  2018-03-31       Impact factor: 1.672

7.  Assessing hepatomegaly: automated volumetric analysis of the liver.

Authors:  Marius George Linguraru; Jesse K Sandberg; Elizabeth C Jones; Nicholas Petrick; Ronald M Summers
Journal:  Acad Radiol       Date:  2012-02-22       Impact factor: 3.173

  7 in total

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