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Japanese Journal of Radiology
Published in: Japanese Journal of Radiology 7/2017

01-07-2017 | Technical Note

SUV navigator enables rapid [18F]-FDG PET/CT image interpretation compared with 2D ROI and 3D VOI evaluations

Authors: Atsutaka Okizaki, Michihiro Nakayama, Shunta Ishitoya, Kaori Nakajima, Masaaki Yamashina, Tamio Aburano, Koji Takahashi

Published in: Japanese Journal of Radiology | Issue 7/2017

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Abstract

Purpose

Positron emission tomography (PET) and the maximum standardized uptake value (SUVmax) is a useful technique for assessing malignant tumors. Measurements of SUVmax in multiple lesions per patient frequently require many time-consuming procedures. To address this issue, we designed a novel interface named SUV Navigator (SUVnavi), and the purpose of this study was to investigate its utility.

Materials and methods

We measured SUVmax in 661 lesions from 100 patients with malignant tumors. Diagnoses and SUVmax measurements were made with SUVnavi, 2D, and 3D measurements. SUV measurement accuracy in each method were also evaluated.

Results

The average reduction in time with SUVnavi versus 2D was 53.8% and 3D was 37.5%; time required with SUVnavi was significantly shorter than with 2D and 3D (P < 0.001 and P < 0.001, respectively). The time reduction and lesion number had a positive correlation (P < 0.001 and P < 0.001, respectively). SUVmax agreed with precise SUVmax in all lesions measured with SUVnavi and 3D but in only 466 of 661 lesions (70.5%) measured with 2D.

Conclusion

SUVnavi may be useful for rapid [18F]-fluorodeoxyglucose positron emission tomography/computed tomography ([18F]-FDG PET/CT) image interpretation without reducing the accuracy of SUVmax measurement.
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Metadata
Title
SUV navigator enables rapid [18F]-FDG PET/CT image interpretation compared with 2D ROI and 3D VOI evaluations
Authors
Atsutaka Okizaki
Michihiro Nakayama
Shunta Ishitoya
Kaori Nakajima
Masaaki Yamashina
Tamio Aburano
Koji Takahashi
Publication date
01-07-2017
Publisher
Springer Japan
Published in
Japanese Journal of Radiology / Issue 7/2017
Print ISSN: 1867-1071
Electronic ISSN: 1867-108X
DOI
https://doi.org/10.1007/s11604-017-0645-8

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