Literature DB >> 30027411

Intravoxel incoherent motion diffusion-weighted imaging for assessment of histologic grade of hepatocellular carcinoma: comparison of three methods for positioning region of interest.

Yi Wei1, Feifei Gao2, Min Wang1, Zixing Huang1, Hehan Tang1, Jiaxing Li3, Yi Wang1, Tong Zhang1, Xiaocheng Wei4, Dandan Zheng4, Bin Song5.   

Abstract

OBJECTIVES: To prospectively compare the diagnostic performances of three methods of region of interest (ROI) placement for the measurements of intravoxel incoherent motion (IVIM) diffusion-weighted MR imaging in differentiating the histologic grade of hepatocellular carcinoma (HCC).
METHODS: Eighty-seven patients with 91 newly diagnosed HCCs were studied using IVIM imaging. Two attending radiologists separately identified the selection of tumour tissue for ROI positioning. Three different ROI positioning methods, namely the whole tumour volume (WTV) method, three-ROI method and one-section method, were used for the measurement. Kruskal-Wallis rank test or one-way ANOVA was used to compare the difference in IVIM parameters and ADC across the three different ROI positioning methods. Spearman correlation analysis was used to determine the correlation between each parameter and Edmondson-Steiner (E-S) grade. Receiver operating characteristics (ROC) curve analyses were performed to evaluate the diagnostic performance.
RESULTS: For the ADC and ADCslow, the mean value measured by using the WTV method was significant higher than the one-section and three-ROI methods (all p < 0.01). For the ADCslow, the highest area under curve (AUC) with a value of 0.969 was obtained by using the WTV method, followed by the one-section method (AUC = 0.938) and three-ROI method (AUC = 0.873). Additionally, for the ADC, AUC values were 0.861 for WTV method, 0.840 for one-section method and 0.806 for three-ROI method.
CONCLUSIONS: Different ROI positioning methods used significantly affect the IVIM parameters and ADC measurements. Measurements of ADCslow value derived from WTV method entailed the highest diagnostic performance in grading HCC. KEY POINTS: • Diffusion MRI is useful for non-invasively differentiating the histologic grade of hepatocellular carcinoma. • Different ROI positioning methods used significantly affect the IVIM parameters and ADC measurements. • IVIM model is advantageous over mono-exponential model for assessing the histologic grade of hepatocellular carcinoma.

Entities:  

Keywords:  Diagnostic imaging; Hepatocellular carcinoma; Magnetic resonance imaging

Mesh:

Year:  2018        PMID: 30027411     DOI: 10.1007/s00330-018-5638-1

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  20 in total

1.  High-b-value diffusion-weighted MR imaging of benign hepatocellular lesions: quantitative and qualitative analysis.

Authors:  Francesco Agnello; Maxime Ronot; Dominique C Valla; Ralph Sinkus; Bernard E Van Beers; Valérie Vilgrain
Journal:  Radiology       Date:  2011-12-05       Impact factor: 11.105

2.  Histological grade of differentiation of hepatocellular carcinoma: comparison of the efficacy of diffusion-weighted MRI with T2-weighted imaging and angiography-assisted CT.

Authors:  Kazuhiro Saito; Fuminori Moriyasu; Katsutoshi Sugimoto; Ryota Nishio; Toru Saguchi; Soichi Akata; Koichi Tokuuye
Journal:  J Med Imaging Radiat Oncol       Date:  2012-04-11       Impact factor: 1.735

3.  Diagnostic performance of apparent diffusion coefficient for predicting histological grade of hepatocellular carcinoma.

Authors:  Akihiro Nishie; Tsuyoshi Tajima; Yoshiki Asayama; Kousei Ishigami; Daisuke Kakihara; Tomohiro Nakayama; Yukihisa Takayama; Daisuke Okamoto; Nobuhiro Fujita; Akinobu Taketomi; Kengo Yoshimitsu; Hiroshi Honda
Journal:  Eur J Radiol       Date:  2010-07-08       Impact factor: 3.528

Review 4.  Management of hepatocellular carcinoma.

Authors:  P Fitzmorris; M Shoreibah; B S Anand; A K Singal
Journal:  J Cancer Res Clin Oncol       Date:  2014-08-27       Impact factor: 4.553

5.  High-b-value diffusion-weighted MR imaging of hepatocellular lesions: estimation of grade of malignancy of hepatocellular carcinoma.

Authors:  Ali Muhi; Tomoaki Ichikawa; Utaroh Motosugi; Katsuhiro Sano; Masanori Matsuda; Takatoshi Kitamura; Tadao Nakazawa; Tsutomu Araki
Journal:  J Magn Reson Imaging       Date:  2009-11       Impact factor: 4.813

6.  Relationship between diffusion-weighted magnetic resonance imaging and histological tumor grading of hepatocellular carcinoma.

Authors:  Mitsuru Nakanishi; Makoto Chuma; Shuhei Hige; Tokuhiko Omatsu; Hideki Yokoo; Kazuaki Nakanishi; Toshiya Kamiyama; Kanako Kubota; Hironori Haga; Yoshihiro Matsuno; Yuya Onodera; Mototsugu Kato; Masahiro Asaka
Journal:  Ann Surg Oncol       Date:  2011-09-17       Impact factor: 5.344

7.  Intravoxel incoherent motion diffusion-weighted MR imaging of hepatocellular carcinoma: correlation with enhancement degree and histologic grade.

Authors:  Sungmin Woo; Jeong Min Lee; Jeong Hee Yoon; Ijin Joo; Joon Koo Han; Byung Ihn Choi
Journal:  Radiology       Date:  2013-10-30       Impact factor: 11.105

8.  Diffusion-weighted imaging of surgically resected hepatocellular carcinoma: imaging characteristics and relationship among signal intensity, apparent diffusion coefficient, and histopathologic grade.

Authors:  Katsuhiro Nasu; Yoshifumi Kuroki; Tatsuaki Tsukamoto; Hiroto Nakajima; Kensaku Mori; Manabu Minami
Journal:  AJR Am J Roentgenol       Date:  2009-08       Impact factor: 3.959

9.  Diffusion-weighted magnetic resonance imaging of the pancreas: diagnostic benefit from an intravoxel incoherent motion model-based 3 b-value analysis.

Authors:  Massimo Concia; Alois M Sprinkart; Arndt-Hendrik Penner; Peter Brossart; Jürgen Gieseke; Hans H Schild; Winfried A Willinek; Petra Mürtz
Journal:  Invest Radiol       Date:  2014-02       Impact factor: 6.016

10.  Tumour ADC measurements in rectal cancer: effect of ROI methods on ADC values and interobserver variability.

Authors:  Doenja M J Lambregts; Geerard L Beets; Monique Maas; Luís Curvo-Semedo; Alfons G H Kessels; Thomas Thywissen; Regina G H Beets-Tan
Journal:  Eur Radiol       Date:  2011-08-07       Impact factor: 5.315

View more
  16 in total

1.  IVIM improves preoperative assessment of microvascular invasion in HCC.

Authors:  Yi Wei; Zixing Huang; Hehan Tang; Liping Deng; Yuan Yuan; Jiaxing Li; Dongbo Wu; Xiaocheng Wei; Bin Song
Journal:  Eur Radiol       Date:  2019-03-15       Impact factor: 5.315

2.  Whole tumor volumetric ADC analysis: relationships with histopathological differentiation of hepatocellular carcinoma.

Authors:  Ferhat Can Piskin; Huseyin Tugsan Balli; Kivilcim Eren Erdoğan; Sinan Sozutok; Kairgeldy Aikimbaev
Journal:  Abdom Radiol (NY)       Date:  2021-08-20

Review 3.  Diffusion-Weighted Imaging Reflects Tumor Grading and Microvascular Invasion in Hepatocellular Carcinoma.

Authors:  Alexey Surov; Maciej Pech; Jazan Omari; Frank Fischbach; Robert Damm; Katharina Fischbach; Maciej Powerski; Borna Relja; Andreas Wienke
Journal:  Liver Cancer       Date:  2021-01-27       Impact factor: 11.740

4.  Study on clinical application of susceptibility weighted imaging ombined with diffusion weighted imaging in patients with Liver Cirrhosis complicated with small Hepatocellular Carcinoma.

Authors:  Zhi-Bo Hou; Fei Zhao; Bin Zhang; Chun-Zhu Zhang
Journal:  Pak J Med Sci       Date:  2021 May-Jun       Impact factor: 1.088

5.  Intravoxel incoherent motion diffusion-weighted imaging to differentiate hepatocellular carcinoma from intrahepatic cholangiocarcinoma.

Authors:  Juan Peng; Wei-Cheng Wang; Jing Zheng; Cui Yang; Ran Wang; Yi Zhou; Yun-Yun Tao; Xue-Qin Gong; Xiao-Ming Zhang; Lin Yang
Journal:  Sci Rep       Date:  2020-05-07       Impact factor: 4.379

6.  Evaluation of intratumoral heterogeneity by using diffusion kurtosis imaging and stretched exponential diffusion-weighted imaging in an orthotopic hepatocellular carcinoma xenograft model.

Authors:  Ran Guo; Shuo-Hui Yang; Fang Lu; Zhi-Hong Han; Xu Yan; Cai-Xia Fu; Meng-Long Zhao; Jiang Lin
Journal:  Quant Imaging Med Surg       Date:  2019-09

7.  Evaluation of Multiple Prognostic Factors of Hepatocellular Carcinoma with Intra-Voxel Incoherent Motions Imaging by Extracting the Histogram Metrics.

Authors:  Gaofeng Shi; Xue Han; Qi Wang; Yan Ding; Hui Liu; Yunfei Zhang; Yongming Dai
Journal:  Cancer Manag Res       Date:  2020-07-20       Impact factor: 3.989

Review 8.  Perfusion-driven Intravoxel Incoherent Motion (IVIM) MRI in Oncology: Applications, Challenges, and Future Trends.

Authors:  Mami Iima
Journal:  Magn Reson Med Sci       Date:  2020-06-15       Impact factor: 2.471

9.  Can the low and high b-value distribution influence the pseudodiffusion parameter derived from IVIM DWI in normal brain?

Authors:  Yu-Chuan Hu; Lin-Feng Yan; Yu Han; Shi-Jun Duan; Qian Sun; Gang-Feng Li; Wen Wang; Xiao-Cheng Wei; Dan-Dan Zheng; Guang-Bin Cui
Journal:  BMC Med Imaging       Date:  2020-02-10       Impact factor: 1.930

10.  Intravoxel incoherent motion and ADC measurements for differentiating benign from malignant thyroid nodules: utilizing the most repeatable region of interest delineation at 3.0 T.

Authors:  Minghui Song; Yunlong Yue; Yanfang Jin; Jinsong Guo; Lili Zuo; Hong Peng; Queenie Chan
Journal:  Cancer Imaging       Date:  2020-01-22       Impact factor: 3.909

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.