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Abdominal Radiology

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01-06-2019 | Insulinoma | Pancreas

Weight-adapted ultra-low-dose pancreatic perfusion CT: radiation dose, image quality, and perfusion parameters

Authors: Ping Li, Wanling Deng, Huadan Xue, Kai Xu, Liang Zhu, Juan Li, Zhaoyong Sun, Zhengyu Jin

Published in: Abdominal Radiology | Issue 6/2019

Abstract

Purpose

We evaluate the reliability and feasibility of weight-adapted ultra-low-dose pancreatic perfusion CT.

Methods

A total of 100 (47 men, 53 women) patients were enrolled prospectively and were assigned to five groups (A, B, C, D, and E) with different combination of tube voltage and tube current according to their body weight. Radiation dose parameters including volume CT dose index (CTDI) and dose-length product (DLP) were recorded. Image quality was evaluated both subjectively and objectively (noise, signal-to-noise ratio, contrast-to-noise ratio). Perfusion parameters including blood flow (BF), blood volume (BV), and permeability (PMB) were measured. The dose, image quality measurements, and perfusion parameters were compared between the five groups using one-way analysis of variance (ANOVA).

Results

Radiation dose reached 8.7 mSv in patients under 50 kg and was 18.9 mSv in patients above 80 kg. The mean subjective image quality score was above 4.45 on a 5-point scale with good agreement between two radiologists. Groups A–D had equivalent performance on objective image quality (P > 0.05), while Group E performed even better (P < 0.05). No significant differences emerged in comparison with perfusion parameters (BF, BV, PMB) of normal pancreas parenchyma between the five groups.

Conclusion

Weight-adapted ultra-low-dose pancreatic perfusion CT can effectively reduce radiation dose without prejudice to image quality, and the perfusion parameters of normal parenchyma are accurate and reliable.

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Title: Weight-adapted ultra-low-dose pancreatic perfusion CT: radiation dose, image quality, and perfusion parameters
Authors: Ping Li
Wanling Deng
Huadan Xue
Kai Xu
Liang Zhu
Juan Li
Zhaoyong Sun
Zhengyu Jin
Publication date: 01-06-2019
Publisher: Springer US
Keywords: Insulinoma
Insulinoma
Published in: Abdominal Radiology / Issue 6/2019
Print ISSN: 2366-004X
Electronic ISSN: 2366-0058
DOI: https://doi.org/10.1007/s00261-019-01938-z

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Conclusion

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