Literature DB >> 35982336

Utility of diffusion tensor imaging in differentiating benign from malignant hepatic focal lesions.

Gehad A Saleh1, Ali H Elmokadem2, Ahmed Abdel Razek1, Ahmed El-Morsy1, Omar Hamdy3, Elshimaa S Eleraky4, Marwa Saleh5.   

Abstract

OBJECTIVES: To assess the diagnostic accuracy of diffusion tensor imaging (DTI) in the characterization of hepatic focal lesions (HFLs) and compare it to diffusion-weighted imaging (DWI).
METHODS: Prospective analysis was done for 49 patients (23 male and 26 female) with 74 HFLs who underwent dynamic MRI, DWI, and DTI. Apparent diffusion coefficient (ADC) values from DWI, fractional anisotropy (FA) values, and mean diffusivity (MD) values from DTI were measured by two independent radiologists. HFLs were classified into benign and malignant HFLs; the latter were subdivided into HCC and non-HCC lesions. Binary logistic regression was performed to analyze the associations between the DTI parameters and the distinction of malignant lesions.
RESULTS: The ADC, MD, and FA at cutoff values of ≤ 1.17 × 10-3 mm2/s, ≤ 1.71 × 10-3 mm2/s, and > 0.29, respectively, are excellent discriminators for differentiating malignant and benign HFLs. The mean ADC and MD values of hemangiomas were significantly higher than HCC and non-HCC malignant lesions. In contrast, the mean FA values of hemangiomas were significantly lower than those of non-HCC malignant lesions and HCCs. The ADC and MD were very good discriminators at cutoff values of > 1.03 × 10-3 mm2/s and > 1.12 × 10-3 mm2/s, respectively. The FA at a cutoff value > 0.38 is an excellent discriminator for HCC versus non-HCC malignant lesions. Only FA value > 0.38 was a statistically significant independent predictor of HCC versus non-HCC lesions among the three parameters. There was an excellent inter-observer agreement with ICC > 0.9.
CONCLUSION: MD and FA of DTI are non-invasive, very good, and excellent discriminators superior to ADC measured by DWI for the differentiation of HFLs. KEY POINTS: • The ADC, MD, and FA at cutoff values of ≤ 1.17 × 10-3 mm2/s, ≤ 1.71 × 10-3 mm2/s, and > 0.29, respectively, are excellent discriminators for differentiating malignant and benign HFLs. • The mean ADC and MD values of hemangiomas were significantly higher than those of HCC and non-HCC malignant lesions. In contrast, the mean FA values of hemangiomas were significantly lower than those of non-HCC malignant lesions and HCCs, respectively. • Multivariate regression analysis revealed that only FA value > 0.38 was a statistically significant independent predictor of HCC vs. non-HCC lesions. A lesion with FA > 0.38 has 34 times higher odds of being HCC rather than non-HCC lesions.
© 2022. The Author(s), under exclusive licence to European Society of Radiology.

Entities:  

Keywords:  Carcinoma, hepatocellular; Cholangiocarcinoma; Diffusion; Magnetic resonance imaging; Metastasis

Year:  2022        PMID: 35982336     DOI: 10.1007/s00330-022-09091-w

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   7.034


  22 in total

Review 1.  Diffusion-weighted MR imaging of the liver.

Authors:  Bachir Taouli; Dow-Mu Koh
Journal:  Radiology       Date:  2010-01       Impact factor: 11.105

Review 2.  Liver MRI: From basic protocol to advanced techniques.

Authors:  Henrique Donato; Manuela França; Isabel Candelária; Filipe Caseiro-Alves
Journal:  Eur J Radiol       Date:  2017-05-25       Impact factor: 3.528

3.  Interobserver Agreement of Magnetic Resonance Imaging of Liver Imaging Reporting and Data System Version 2018.

Authors:  Ahmed Abdel Khalek Abdel Razek; Lamiaa Galal El-Serougy; Gehad Ahmad Saleh; Rihame Abd El-Wahab; Walaa Shabana
Journal:  J Comput Assist Tomogr       Date:  2020 Jan/Feb       Impact factor: 1.826

4.  Reproducibility of LI-RADS treatment response algorithm for hepatocellular carcinoma after locoregional therapy.

Authors:  A A K Abdel Razek; L G El-Serougy; G A Saleh; W Shabana; R Abd El-Wahab
Journal:  Diagn Interv Imaging       Date:  2020-04-03       Impact factor: 4.026

5.  Characterization of focal liver lesions using the stretched exponential model: comparison with monoexponential and biexponential diffusion-weighted magnetic resonance imaging.

Authors:  Hyung Cheol Kim; Nieun Seo; Yong Eun Chung; Mi-Suk Park; Jin-Young Choi; Myeong-Jin Kim
Journal:  Eur Radiol       Date:  2019-02-22       Impact factor: 5.315

6.  Diffusion tensor imaging of cysts, hemangiomas, and metastases of the liver.

Authors:  Sukru Mehmet Erturk; Tomoaki Ichikawa; Emel Kaya; Ozge Yapici; Alper Ozel; Abdullah Soydan Mahmutoglu; Muzaffer Basak
Journal:  Acta Radiol       Date:  2013-09-16       Impact factor: 1.990

Review 7.  Liver Imaging Reporting and Data System Version 2018: What Radiologists Need to Know.

Authors:  Ahmed Abdel Khalek Abdel Razek; Lamiaa Galal El-Serougy; Gehad Ahmad Saleh; Walaa Shabana; Rihame Abd El-Wahab
Journal:  J Comput Assist Tomogr       Date:  2020 Mar/Apr       Impact factor: 1.826

8.  Focal liver lesion detection and characterization with diffusion-weighted MR imaging: comparison with standard breath-hold T2-weighted imaging.

Authors:  Tejas Parikh; Stephen J Drew; Vivian S Lee; Samson Wong; Elizabeth M Hecht; James S Babb; Bachir Taouli
Journal:  Radiology       Date:  2008-01-25       Impact factor: 11.105

Review 9.  Updates in hepatic oncology imaging.

Authors:  Pallavi Pandey; Heather Lewis; Ankur Pandey; Carl Schmidt; Mary Dillhoff; Ihab R Kamel; Timothy M Pawlik
Journal:  Surg Oncol       Date:  2017-04-06       Impact factor: 3.279

10.  Preliminary Study of MR Diffusion Tensor Imaging of the Liver for the Diagnosis of Hepatocellular Carcinoma.

Authors:  Xinghui Li; Qi Liang; Ling Zhuang; Xiaoming Zhang; Tianwu Chen; Liangjun Li; Jun Liu; Horea Calimente; Yinan Wei; Jiani Hu
Journal:  PLoS One       Date:  2015-08-28       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.