Quantitative parameters of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI): potential application in predicting pathological grades of pancreatic ductal adenocarcinoma

被引:24
作者
Ma, Wanling [1 ]
Zhang, Guangwen [1 ]
Ren, Jing [1 ]
Pan, Qi [1 ]
Wen, Didi [1 ]
Zhong, Jinman [1 ]
Zhang, Zhuoli [2 ]
Huan, Yi [1 ]
机构
[1] Fourth Mil Med Univ, Xijing Hosp, Dept Radiol, Changle West Rd 127, Xian 710032, Shaanxi, Peoples R China
[2] Northwestern Univ, Feinberg Sch Med, Dept Radiol, Chicago, IL 60611 USA
基金
中国国家自然科学基金;
关键词
Pancreatic ductal adenocarcinoma (PDAC); intravoxel incoherent motion; pure diffusion coefficient; pseudodiffusion coefficient; perfusion fraction; MICROVESSEL DENSITY; PROGNOSTIC-FACTORS; META-ANALYSIS; TUMOR GRADE; PERFUSION; LESIONS; CANCER; COEFFICIENT; CARCINOMA; DIAGNOSIS;
D O I
10.21037/qims.2018.04.08
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background: The aim of this study was to compare intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) parameters such as standard apparent diffusion coefficient (ADC(standard)), pure diffusion coefficient (D-slow), pseudodiffusion coefficient (D-fast) and perfusion fraction (f) for differentiating pancreatic ductal adenocarcinoma (PDAC) with different pathological grades. Methods: Institutional Review Board of our hospital approved this study protocol. Subjects comprised 38 PDACs confirmed by pathology. Pancreatic multiple b values DWI with 15 b values of 0, 10, 20, 40, 60, 80, 100, 150, 200, 400, 800, 1,000, 1200, 1,500, and 2,000 s/mm(2) was performed using GE Discovery MR750 3.0T scanner. ADC(standard), D-slow, D-fast and f values of all PDACs were calculated using mono-and biexponential models. Parameters of well/moderately differentiated and poorly differentiated PDAC were compared using Independent Sample t-test. P values < 0.05 were considered significant. Results: Mean Dslow value of well/moderately differentiated PDAC was significantly lower than that of poorly differentiated PDAC (0.540x10(-3) vs. 0.676x10(-3) mm(2)/s, P< 0.001). Mean f value of well/moderately differentiated PDAC was significantly higher than that of poorly differentiated PDAC (60.3% vs. 38.4%, P< 0.001). The area under curve value of f in differentiating well/ moderately differentiated PDAC from poorly differentiated PDAC was slightly higher than that of D-slow (0.894> 0.865). When the D-slow value was less than or equal to 0.599x10-(3) mm(2)/s, the sensitivity and specificity were 100% and 84.6% respectively. When f value was greater than 49.6%, the sensitivity and specificity were 92.0% and 84.6% respectively. Conclusions: Dslow and f derived from IVIM-DWI model can be used to distinguish well/ moderately differentiated PDAC from poorly differentiated PDAC. And to serve this purpose, Dslow and f have high diagnostic performance. IVIM-DWI is a promising and non-invasive tool for predicting pathological grade of PDAC.
引用
收藏
页码:301 / 310
页数:10
相关论文
共 50 条
[41]   Intravoxel incoherent motion diffusion-weighted imaging for evaluating the pancreatic perfusion in cirrhotic patients [J].
Hu, Ran ;
Zeng, Guo-Fei ;
Fang, Yu ;
Nie, Lisha ;
Liang, Hui-Lou ;
Wang, Zhi-Gang ;
Yang, Hua .
ABDOMINAL RADIOLOGY, 2024, 49 (02) :492-500
[42]   Application of intravoxel incoherent motion diffusion-weighted magnetic resonance imaging on the diagnosis of breast cancer [J].
Chen, S. ;
Wang, D. ;
Kong, P. ;
Gu, H. ;
Yu, Z. .
INTERNATIONAL JOURNAL OF RADIATION RESEARCH, 2023, 21 (04) :827-832
[43]   Predicting Preoperative Pathologic Grades of Bladder Cancer Using Intravoxel Incoherent Motion and Amide Proton Transfer-Weighted Imaging [J].
Chang, Lingyu ;
Xu, Xinghua ;
Wu, Guangtai ;
Cheng, Lianhua ;
Li, Shuyi ;
Lv, Wencheng ;
Pylypenko, Dmytro ;
Dou, Weiqiang ;
Yu, Dexin ;
Wang, Qing ;
Wang, Fang .
ACADEMIC RADIOLOGY, 2024, 31 (04) :1438-1446
[44]   The value of diffusion kurtosis imaging and intravoxel incoherent motion quantitative parameters in predicting synchronous distant metastasis of rectal cancer [J].
Xue Ding ;
Danqi Sun ;
Qiuchen Guo ;
Yeting Li ;
Hao Chen ;
Xiaoxiao Dai ;
Guohua Fan ;
Yongyou Wu ;
Guangqiang Chen ;
Yonggang Li .
BMC Cancer, 22
[45]   Associations between angiogenic factors and intravoxel incoherent motion-derived parameters in diffusion-weighted magnetic resonance imaging of breast cancer [J].
Lee, Youn Joo ;
Kim, Sung Hun ;
Kang, Bong Joo ;
Son, Yo Han ;
Grimm, Robert .
MEDICINE, 2021, 100 (41) :E27495
[46]   Pathological prognostic factors of rectal cancer based on diffusion-weighted imaging, intravoxel incoherent motion, and diffusion kurtosis imaging [J].
Zhou, Mi ;
Chen, Mengyuan ;
Luo, Mingfang ;
Chen, Meining ;
Huang, Hongyun .
EUROPEAN RADIOLOGY, 2025, 35 (02) :979-988
[47]   Intravoxel Incoherent Motion Diffusion-weighted MR Imaging of the Liver: Effect of Triggering Methods on Regional Variability and Measurement Repeatability of Quantitative Parameters [J].
Lee, Yedaun ;
Lee, Seung Soo ;
Kim, Namkug ;
Kim, Eunki ;
Kim, Yeong Jae ;
Yun, Sung-Cheol ;
Kuehn, Bernd ;
Kim, In Seong ;
Park, Seong Ho ;
Kim, So Yeon ;
Lee, Moon-Gyu .
RADIOLOGY, 2015, 274 (02) :405-415
[48]   Quantitative analysis for detection and grading of hepatocellular carcinoma: Comparison of diffusion kurtosis imaging, intravoxel incoherent motion and conventional diffusion-weighted imaging [J].
Li, Hong-Wei ;
Yan, Gao-Wu ;
Yang, Jin ;
Zhuo, Li-Hua ;
Bhetuwal, Anup ;
Long, Yong-Jun ;
Feng, Xu ;
Yao, Hong-Chao ;
Zou, Xing-Xiong ;
Feng, Ruo-Han ;
Yang, Han-Feng ;
Du, Yong .
ONCOLOGY LETTERS, 2022, 24 (05)
[49]   Intravoxel incoherent motion diffusion-weighted imaging for discriminating the pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer [J].
Wen Lu ;
Hou Jing ;
Zhou Ju-Mei ;
Nie Shao-Lin ;
Cao Fang ;
Yu Xiao-Ping ;
Lu Qiang ;
Zeng Biao ;
Zhu Su-Yu ;
Hu Ying .
SCIENTIFIC REPORTS, 2017, 7
[50]   Intravoxel Incoherent Motion Diffusion-Weighted Imaging for Predicting and Monitoring the Response of Anti-Angiogenic Treatment in the Orthotopic Nude Mouse Model of Lung Adenocarcinoma [J].
Wan, Qi ;
Bao, Yingying ;
Xia, Xiaoying ;
Liu, Jieqiong ;
Wang, Peng ;
Peng, Yu ;
Xie, Xiaobin ;
He, Jianxing ;
Li, Xinchun .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2022, 55 (04) :1202-1210