Share：
Share this content in WeChat
X
[Chinese][PDF]978108
• Clinical Article •
The value of mono-exponential, bi-exponential and stretched exponential DWI models in identifying prostate cancer and stromal prostate hyperplasia
WU Hui  WU Jing  YU Na  QIAN Luodan  YU Xiaoyu  JIA Yushan  GAO Yang  NIU Guangming 

Cite this article as: Wu H, Wu J, Yu N, et al. The value of mono-exponential, bi-exponential and stretched exponential DWI models in identifying stromal prostate cancer and stromal prostate hyperplasia. Chin J Magn Reson Imaging, 2020, 11(7): 546-551. DOI:10.12015/issn.1674-8034.2020.07.014.


[Abstract] Objective: To compare the value of various diffusion parameters obtained from monoexponential, biexponential, and stretched exponential diffusion-weighted imaging (DWI) models in identification of prostate cancer and prostate hyperplasia.Materials and Methods: Retrospective analysis of puncture biopsy confirmed prostate cancer (PCa) 28 cases, stromal prostate hyperplasia (SH) 22 cases of clinical data. All patients underwent T2WI, T1WI, DWI, multi-b DWI scan. According to the results of puncture pathology to determine the location of cancer or hyperplasia, with DWI and multi-b value DWI images to match. ADC, D, D*, f and DDC, α values were measured in PCa group and SH group. Differences were compared using independent t test, receiver operating characteristic (ROC) to differentiate the diagnostic efficacy, Correlation analysis using Sperman or Pearson.Results: (1) ADC, D, DDC, α were lower in the PCa group (0.72±0.14×10-3 mm2/s, 0.57±0.11×10-3 mm2/s, 0.71±0.14×10-3 mm2/s, 0.63±0.03) than in the SH group (1.14±0.13×10-3 mm2/s, 0.94±0.12×10-3 mm2/s, 1.30±0.17×10-3 mm2/s, 0.76±0.05) the difference was statistically significant. D* was higher in the PCa group (17.96±13.39×10-3 mm2/s) than in the SH group (10.28±4.96×10-3 mm2/s), the difference was statistically significant. f was slightly higher in the PCa group (0.30±0.08) than in the SH group (0.29±0.05) , the difference was no statistically significant. (2) DDC, D, ADC, α all have higher diagnostic performance, the area under the curve (AUC) values were 0.9961, 0.9957, 0.9903, 0.9573 respectively; the diagnostic threshold were 0.97×10-3, 0.70×10-3, 0.86×10-3, 0.69. (3) ADC, D, DDC have good correlation both in PCa and SH groups. The PCa group had the strongest correlation with ADC and DDC, the coefficient r=0.852; the correlation between ADC and D was the strongest in SH group, the correlation coefficient r=0.751.Conclusions: DDC, α calculated from stretched exponential model, D calculated from bi-exponential model and ADC calculated from mono-exponential model in the identifying prostate cancer and stromal prostate hyperplasia all have high performance. MRI has obvious advantages in the diagnosis and differential diagnosis of PCa, and different DWI models become its beneficial supplements, the bi-exponential model can provide perfusion information, the stretched exponential model can provide diffusion heterogeneity information. However, the diagnostic performance of the biexponential model and the stretched exponential model is not higher than the traditional monoexponential model, so DWI is still recommended in clinical practice.
[Keywords] prostatic neoplasms；prostatic hyperplasia；magnetic resonance imaging；diagnosis, differential

WU Hui Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China

WU Jing Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China

YU Na Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China

QIAN Luodan Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China

YU Xiaoyu Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China

JIA Yushan Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China

GAO Yang* Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China

NIU Guangming* Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China

*Correspondence to: Niu GM, E-mail: cjr.niuguangming@vip.163.com; GaoY, E-mail: 1390903990@qq.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This article was supported by the Natural Science Foundation of Inner Mongolia No. 2017MS (LH) 0837
Received  2019-10-25
Accepted  2020-03-23
DOI: 10.12015/issn.1674-8034.2020.07.014
Cite this article as: Wu H, Wu J, Yu N, et al. The value of mono-exponential, bi-exponential and stretched exponential DWI models in identifying stromal prostate cancer and stromal prostate hyperplasia. Chin J Magn Reson Imaging, 2020, 11(7): 546-551. DOI:10.12015/issn.1674-8034.2020.07.014.

[1]
Attard G, Parker C, Eeles RA, et al. Prostate cancer. Lancet. 2016, 387(10013): 70-82.
[2]
Le Bihan D, Breton E, Lallemand D, et al. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurogic disorders. Radiology, 1986, 161(2): 401-407.
[3]
Bennett KM, Schmainda KM, Bennett RT, et al. Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential model. Magn Reson Med, 2003, 50(4): 727-734.
[4]
Liu Y, Wang W, Qin XB, et al. The applied research of simultaneous image acquisition of T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) in the assessment of patients with prostate cancer. Asian J Androl, 2019, 21(2): 177-182.
[5]
Hectors SJ, Semaan S, Song C, et al. Advanced diffusion-weighted imaging modeling for prostate cancer characterization: correlation with quantitative histopathologic tumor tissue composition-A hypothesis-generating study. Radiology, 2018, 286 (3): 918-928.
[6]
莫树群，曹惠霞，韩立新，等．体素内不相干运动扩散加权成像对前列腺癌的诊断价值．放射学实践, 2018, 33(6): 603-607.
[7]
Verma S, Sarkar S, Young J, et al. Evaluation of the impact of computed high b-value diffusion-weighted imaging on prostate cancer detection. Abdom Radiol (NY), 2016, 41(5): 934-45.
[8]
闵祥德，王良，冯朝燕，等. MR扩散加权成像不同模型诊断前列腺癌的价值．中华放射学杂志, 2015, 49(11): 838-842
[9]
陈雨菲，何为，刘剑羽．拉伸指数和单指数模型DWI应用于前列腺癌和前列腺增生鉴别诊断的对照．磁共振成像, 2019, 10(3): 206-211.
[10]
Li C, Chen M, Wan B, et al. A comparative study of Gaussian and non-Gaussian diffusion models for differential diagnosis of prostate cancer with in-bore transrectal MR-guided biopsy as a pathological reference. Acta Radiol, 2018 (11), 59: 1395-1402.
[11]
Franiel T, Hamm B, Hricak H. Dynamic contrast-enhanced magnetic resonance imaging and pharmacokinetic models in prostate cancer. Eur Radiol, 2011, 21(3): 616-626．
[12]
张配配，王良,闵祥德，等. DWI单指数和双指数模型在前列腺癌Gleason分级中的应用：基于三维立体直方图分析．磁共振成像, 2017, 8(9): 668-674.
[13]
吴慧，任建军，牛广明，等. IVIM鉴别前列腺癌、腺体型及基质型增生的价值研究．内蒙古医科大学学报, 2017, 39(2): 107-111.
[14]
万红燕，毕芸祺，衣岩，等．基于体素内不相干运动的MR扩散加权成像对前列腺癌诊断价值的初步研究．磁共振成像, 2015, 6(6): 445-449.
[15]
陈阳，阳青松，陆建平. DWI单、双指数模型对中央腺体前列腺癌及良性前列腺增生的鉴别诊断价值．中国癌症杂志, 2019, 29(8): 583-589.
[16]
Merisaari H, Jambor I. Optimization of b-value distribution for four mathematical models of prostate cancer diffusion-weighted imaging using b values up to 2000 s/mm(2): simulation and repeatability study. Magn Reson Med, 2015, 73(5): 1954-1969.
[17]
Merisaari H, Movahedi P, Perez IM, et al. Fitting methods for intravoxel incoherent motion imaging of prostate cancer on region of interest level: repeatability and gleason score prediction. Magn Reson Med, 2017, 77(3): 1249-1264.
[18]
Kwee TC, Galban CJ, Tsien C, et al. Comparison of apparent diffusion coefficients and distributed diffusion coefficients in high-grade gliomas[J]. J Magn Reson Imaging2010; 31(3): 531-537.
[19]
Feng ZY, Min XD, Margolis DJ, et al. Evaluation of different mathematical models and different b-value ranges of diffusion-weighted imaging in peripheral zone prostate cancer detection using b-value up to 4500 s/mm2. PLoS One, 2017, 12(9): e0184609.
[20]
Liu X, Zhou L, Peng W, et al. Comparison of stretched exponential and monoexponential model diffusion weighted imaging in prostate cancer and normal tissues. J Magn Reson Imaging, 2015, 42(4): 1078-1085.
[21]
Langkilde F, Kobus T, Fedorov A, et al. Evaluation of fitting models for prostate tissue characterization using extended-range b-factor diffusion-weighted imaging. Magn Reson Med, 2018, 79(4): 2346-2358.

PREV The correlation between multiparametric MR imaging characteristics of breast cancer and axillary lymph node metastasis
NEXT The advantage of advanced diffusion-weighted imaging compared with single index DWI in differentiating transitional zone prostate cancer and benign prostatic hyperplasia
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn