Literature DB >> 30211799

Comparison of Abdominal Computed Tomographic Enhancement and Organ Lesion Depiction Between Weight-Based Scanner Software Contrast Dosing and a Fixed-Dose Protocol in a Tertiary Care Oncologic Center.

Corey T Jensen1, Katherine J Blair1, Nicolaus A Wagner-Bartak1, Lan N Vu1, Brett W Carter2, Jia Sun3, Tharakeswara K Bathala1, Shiva Gupta1.   

Abstract

OBJECTIVE: This study aimed to evaluate the quality of enhancement and solid-organ lesion depiction using weight-based intravenous (IV) contrast dosing calculated by injector software versus fixed IV contrast dose in oncologic abdominal computed tomographic (CT) examinations.
METHODS: This institutional review board-exempt retrospective cohort study included 134 patients who underwent single-phase abdominal CT before and after implementation of weight-based IV contrast injector software. Patient weight, height, body mass index, and body surface area were determined. Two radiologists qualitatively assessed examinations (4 indicating markedly superior to -4 indicating markedly inferior), and Hounsfield unit measurements were performed.
RESULTS: Enhancement (estimated mean, -0.05; 95% confidence interval [CI], -0.19 to 0.09; P = 0.46) and lesion depiction (estimated mean, -0.01; 95% CI, -0.10 to 0.07; P = 0.79) scores did not differ between CT examinations using weight-based IV contrast versus fixed IV contrast dosing when a minimum of 38.5 g of iodine was used. However, the scores using weight-based IV contrast dosing were lower when the injector software calculated and delivered less than 38.5 g of iodine (estimated mean, -0.81; 95% CI, -1.06 to -0.56; P < 0.0001). There were no significant differences in measured Hounsfield units between the CT examinations using weight-based IV contrast dosing versus fixed IV contrast dosing.
CONCLUSIONS: Oncologic CT image quality was maintained or improved with weight-based IV contrast dosing using injector software when using a minimum amount of 38.5 g of iodine.

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Year:  2019        PMID: 30211799      PMCID: PMC6331277          DOI: 10.1097/RCT.0000000000000789

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  3 in total

1.  Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases.

Authors:  Corey T Jensen; Shiva Gupta; Mohammed M Saleh; Xinming Liu; Vincenzo K Wong; Usama Salem; Wei Qiao; Ehsan Samei; Nicolaus A Wagner-Bartak
Journal:  Radiology       Date:  2022-01-11       Impact factor: 29.146

2.  Computed tomography technologist notes in PACS to radiologists: what are they telling us and how does it increase value?

Authors:  Corey T Jensen; Sanaz Javadi; Priya Bhosale; Ahmed W Moawad; Mohammed Saleh; Dhakshinamoorthy Ganeshan; Ajaykumar C Morani
Journal:  Abdom Radiol (NY)       Date:  2021-02-07

3.  Individualized Contrast Media Application Based on Body Weight and Contrast Enhancement in Computed Tomography of Livers without Steatosis.

Authors:  Daan J de Jong; Véronique V van Cooten; Wouter B Veldhuis; Pim A de Jong; Madeleine Kok
Journal:  Diagnostics (Basel)       Date:  2022-06-25
  3 in total

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