Preoperatively Grading Rectal Cancer with the Combination of Intravoxel Incoherent Motions Imaging and Diffusion Kurtosis Imaging
المؤلفون المشاركون
Zhang, Yunfei
Geng, Zhijun
Yin, Shaohan
Lian, Shanshan
He, Haoqiang
Li, Hui
Xie, Chuanmiao
Dai, Yongming
المصدر
Contrast Media & Molecular Imaging
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-12
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Purpose.
To combine Intravoxel Incoherent Motions (IVIM) imaging and diffusion kurtosis imaging (DKI) which can aid in the quantification of different biological inspirations including cellularity, vascularity, and microstructural heterogeneity to preoperatively grade rectal cancer.
Methods.
A total of 58 rectal patients were included into this prospective study.
MRI was performed with a 3T scanner.
Different combinations of IVIM-derived and DKI-derived parameters were performed to grade rectal cancer.
Pearson correlation coefficients were applied to evaluate the correlations.
Binary logistic regression models were established via integrating different DWI parameters for screening the most sensitive parameter.
Receiver operating characteristic analysis was performed for evaluating the diagnostic performance.
Results.
For individual DWI-derived parameters, all parameters except the pseudodiffusion coefficient displayed the capability of grading rectal cancer (p<0.05).
The better discrimination between high- and low-grade rectal cancer was achieved with the combination of different DWI-derived parameters.
Similarly, ROC analysis suggested the combination of D (true diffusion coefficient), f (perfusion fraction), and Kapp (apparent kurtosis coefficient) yielded the best diagnostic performance (AUC = 0.953, p<0.001).
According to the result of binary logistic analysis, cellularity-related D was the most sensitive predictor (odds ratio: 9.350 ± 2.239) for grading rectal cancer.
Conclusion.
The combination of IVIM and DKI holds great potential in accurately grading rectal cancer as IVIM and DKI can provide the quantification of different biological inspirations including cellularity, vascularity, and microstructural heterogeneity.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Geng, Zhijun& Zhang, Yunfei& Yin, Shaohan& Lian, Shanshan& He, Haoqiang& Li, Hui…[et al.]. 2020. Preoperatively Grading Rectal Cancer with the Combination of Intravoxel Incoherent Motions Imaging and Diffusion Kurtosis Imaging. Contrast Media & Molecular Imaging،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1139231
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Geng, Zhijun…[et al.]. Preoperatively Grading Rectal Cancer with the Combination of Intravoxel Incoherent Motions Imaging and Diffusion Kurtosis Imaging. Contrast Media & Molecular Imaging No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1139231
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Geng, Zhijun& Zhang, Yunfei& Yin, Shaohan& Lian, Shanshan& He, Haoqiang& Li, Hui…[et al.]. Preoperatively Grading Rectal Cancer with the Combination of Intravoxel Incoherent Motions Imaging and Diffusion Kurtosis Imaging. Contrast Media & Molecular Imaging. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1139231
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139231
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر