Application of Diffusion Kurtosis Imaging and Histogram Analysis for Assessing Preoperative Stages of Rectal Cancer

Objective. To explore the value of diffusion kurtosis imaging (DKI) and histogram analysis for assessing preoperative stages and heterogeneity in rectal cancer. Methods. Fifty patients with pathologically confirmed rectal adenocarcinoma were enrolled. The value of DKI parameters and histogram metric...

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Main Authors: Hui Xie, Guangyao Wu
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Gastroenterology Research and Practice
Online Access:http://dx.doi.org/10.1155/2018/9786932
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spelling doaj-3b679a089f0a4d84bacb34b07e62aa6d2020-11-25T01:34:26ZengHindawi LimitedGastroenterology Research and Practice1687-61211687-630X2018-01-01201810.1155/2018/97869329786932Application of Diffusion Kurtosis Imaging and Histogram Analysis for Assessing Preoperative Stages of Rectal CancerHui Xie0Guangyao Wu1Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 Hubei, ChinaDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 Hubei, ChinaObjective. To explore the value of diffusion kurtosis imaging (DKI) and histogram analysis for assessing preoperative stages and heterogeneity in rectal cancer. Methods. Fifty patients with pathologically confirmed rectal adenocarcinoma were enrolled. The value of DKI parameters and histogram metrics for assessing the preoperative stages and heterogeneity in rectal cancer was analyzed retrospectively. Results. (1) ADC-10th percentile and ADC-25th percentile were significantly higher in T1-2 than in the T3-4 rectal cancer (the ADC values were 0.65 ± 0.08 × 10−3 mm2/s versus 0.58 ± 0.11 × 10−3 mm2/s and 0.73 ± 0.11 × 10−3 mm2/s versus 0.65 ± 0.11 × 10−3 mm2/s; p values were 0.035 and 0.024, resp.). (2) D-10th percentile and D-25th percentile were also significantly higher in T1-2 than in T3-4 rectal cancer (the D values were 0.96 ± 0.19 × 10−3 mm2/s versus 0.84 ± 0.16 × 10−3 mm2/s and 1.15 ± 0.27 × 10−3 mm2/s versus 0.99 ± 0.18 × 10−3 mm2/s; p values were 0.017 and 0.044, resp.). (3) K value and its histogram metrics showed no statistically significant difference between T1-2 and T3-4. (4) D-10th had the largest area under the curve (AUC 0.799) among all the parameters; the sensitivity and specificity were 84.2 and 61.3%, respectively. (5) DKI combined with traditional MRI had an accuracy of 68% while assessing the lymph node of rectal cancer. Conclusion. DKI parameters and histogram metrics are rather valuable in assessing the preoperative stages of rectal cancer; D-10th percentile exhibits the highest diagnostic efficiency.http://dx.doi.org/10.1155/2018/9786932
collection DOAJ
language English
format Article
sources DOAJ
author Hui Xie
Guangyao Wu
spellingShingle Hui Xie
Guangyao Wu
Application of Diffusion Kurtosis Imaging and Histogram Analysis for Assessing Preoperative Stages of Rectal Cancer
Gastroenterology Research and Practice
author_facet Hui Xie
Guangyao Wu
author_sort Hui Xie
title Application of Diffusion Kurtosis Imaging and Histogram Analysis for Assessing Preoperative Stages of Rectal Cancer
title_short Application of Diffusion Kurtosis Imaging and Histogram Analysis for Assessing Preoperative Stages of Rectal Cancer
title_full Application of Diffusion Kurtosis Imaging and Histogram Analysis for Assessing Preoperative Stages of Rectal Cancer
title_fullStr Application of Diffusion Kurtosis Imaging and Histogram Analysis for Assessing Preoperative Stages of Rectal Cancer
title_full_unstemmed Application of Diffusion Kurtosis Imaging and Histogram Analysis for Assessing Preoperative Stages of Rectal Cancer
title_sort application of diffusion kurtosis imaging and histogram analysis for assessing preoperative stages of rectal cancer
publisher Hindawi Limited
series Gastroenterology Research and Practice
issn 1687-6121
1687-630X
publishDate 2018-01-01
description Objective. To explore the value of diffusion kurtosis imaging (DKI) and histogram analysis for assessing preoperative stages and heterogeneity in rectal cancer. Methods. Fifty patients with pathologically confirmed rectal adenocarcinoma were enrolled. The value of DKI parameters and histogram metrics for assessing the preoperative stages and heterogeneity in rectal cancer was analyzed retrospectively. Results. (1) ADC-10th percentile and ADC-25th percentile were significantly higher in T1-2 than in the T3-4 rectal cancer (the ADC values were 0.65 ± 0.08 × 10−3 mm2/s versus 0.58 ± 0.11 × 10−3 mm2/s and 0.73 ± 0.11 × 10−3 mm2/s versus 0.65 ± 0.11 × 10−3 mm2/s; p values were 0.035 and 0.024, resp.). (2) D-10th percentile and D-25th percentile were also significantly higher in T1-2 than in T3-4 rectal cancer (the D values were 0.96 ± 0.19 × 10−3 mm2/s versus 0.84 ± 0.16 × 10−3 mm2/s and 1.15 ± 0.27 × 10−3 mm2/s versus 0.99 ± 0.18 × 10−3 mm2/s; p values were 0.017 and 0.044, resp.). (3) K value and its histogram metrics showed no statistically significant difference between T1-2 and T3-4. (4) D-10th had the largest area under the curve (AUC 0.799) among all the parameters; the sensitivity and specificity were 84.2 and 61.3%, respectively. (5) DKI combined with traditional MRI had an accuracy of 68% while assessing the lymph node of rectal cancer. Conclusion. DKI parameters and histogram metrics are rather valuable in assessing the preoperative stages of rectal cancer; D-10th percentile exhibits the highest diagnostic efficiency.
url http://dx.doi.org/10.1155/2018/9786932
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