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Cancer Imaging
Published in: Cancer Imaging 1/2017

Open Access 01-12-2017 | Research article

Effect of region of interest size on ADC measurements in pancreatic adenocarcinoma

Authors: Chao Ma, Xiaoyu Guo, Li Liu, Qian Zhan, Jing Li, Chengcheng Zhu, Li Wang, Jing Zhang, Xu Fang, Jianxun Qu, Shiyue Chen, Chengwei Shao, Jian-ping Lu

Published in: Cancer Imaging | Issue 1/2017

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Abstract

Background

To investigate the influence of region of interest (ROI) size on tumor apparent diffusion coefficient (ADC) measurements in pancreatic cancer.

Methods

The study population consisted of 64 patients with pathologically proved pancreatic ductal adenocarcinomas (PDACs), who underwent preoperative magnetic resonance imaging (MRI) examinations including diffusion-weighted imaging (DWI). The tumor ADCs were measured by two independent readers using six round ROIs with sizes ranging from 20 to 214 mm2 (9 to 97 pixels) in both the six separate measurements. The intra- and inter-observer variabilities were analyzed by using the coefficient of variance (CV), the interclass correlation coefficient (ICC) and Bland-Altman analysis. The mean ADCs measured with the 6 different-sized ROIs were compared using one-way repeated analysis of variance. The sample sizes were calculated by using 80% power and a 5% significance level to detect 10 to 25% changes in ADC measurements.

Results

The largest ROI (ROI214) yielded the best intra-observer repeatability (CV, 6.3%; ICC, 0.93) and inter-observer reproducibility (CV, 10.1%; ICC, 0.84). The mean differences in ADC measurements ± limits of agreement between the two readers were (0.06 ± 0.47) × 10−3 mm2 for ROI20, (0.08 ± 0.46) × 10−3 mm2 for ROI46, (0.05 ± 0.37) × 10−3 mm2 for ROI82, (0.07 ± 0.42) × 10−3 mm2 for ROI115, (0.05 ± 0.43) × 10−3 mm2 for ROI152 and (−0.02 ± 0.29) × 10−3 mm2 for ROI214.

Conclusions

ROI size had a considerable influence on the ADC measurements of PDACs.
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Metadata
Title
Effect of region of interest size on ADC measurements in pancreatic adenocarcinoma
Authors
Chao Ma
Xiaoyu Guo
Li Liu
Qian Zhan
Jing Li
Chengcheng Zhu
Li Wang
Jing Zhang
Xu Fang
Jianxun Qu
Shiyue Chen
Chengwei Shao
Jian-ping Lu
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Cancer Imaging / Issue 1/2017
Electronic ISSN: 1470-7330
DOI
https://doi.org/10.1186/s40644-017-0116-6

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