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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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Autores principales: Xie, Hui, Wu, Guangyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6008759/
https://www.ncbi.nlm.nih.gov/pubmed/29967642
http://dx.doi.org/10.1155/2018/9786932
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author Xie, Hui
Wu, Guangyao
author_facet Xie, Hui
Wu, Guangyao
author_sort Xie, Hui
collection PubMed
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) mm(2)/s versus 0.58 ± 0.11 × 10(−3) mm(2)/s and 0.73 ± 0.11 × 10(−3) mm(2)/s versus 0.65 ± 0.11 × 10(−3) mm(2)/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) mm(2)/s versus 0.84 ± 0.16 × 10(−3) mm(2)/s and 1.15 ± 0.27 × 10(−3) mm(2)/s versus 0.99 ± 0.18 × 10(−3) mm(2)/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.
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spelling pubmed-60087592018-07-02 Application of Diffusion Kurtosis Imaging and Histogram Analysis for Assessing Preoperative Stages of Rectal Cancer Xie, Hui Wu, Guangyao Gastroenterol Res Pract Research Article 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) mm(2)/s versus 0.58 ± 0.11 × 10(−3) mm(2)/s and 0.73 ± 0.11 × 10(−3) mm(2)/s versus 0.65 ± 0.11 × 10(−3) mm(2)/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) mm(2)/s versus 0.84 ± 0.16 × 10(−3) mm(2)/s and 1.15 ± 0.27 × 10(−3) mm(2)/s versus 0.99 ± 0.18 × 10(−3) mm(2)/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. Hindawi 2018-06-05 /pmc/articles/PMC6008759/ /pubmed/29967642 http://dx.doi.org/10.1155/2018/9786932 Text en Copyright © 2018 Hui Xie and Guangyao Wu. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xie, Hui
Wu, Guangyao
Application of Diffusion Kurtosis Imaging and Histogram Analysis for Assessing Preoperative Stages of Rectal Cancer
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6008759/
https://www.ncbi.nlm.nih.gov/pubmed/29967642
http://dx.doi.org/10.1155/2018/9786932
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