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Song Q, Guo Y, Yao X, Rao S, Qian C, Ye D, Zeng M. Comparative study of evaluating the microcirculatory function status of primary small HCC between the CE (DCE-MRI) and Non-CE (IVIM-DWI) MR Perfusion Imaging. Abdom Radiol (NY) 2021; 46:2575-2583. [PMID: 33483778 DOI: 10.1007/s00261-020-02945-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 12/20/2020] [Accepted: 12/31/2020] [Indexed: 12/25/2022]
Abstract
PURPOSE To compare the difference of evaluating the microcirculatory function status of primary small HCC between DCE-MRI with two-compartmental pharmacokinetic model and IVIM-DWI. METHODS 27 patients (22 men, 5 women; mean age, 49 years; range 36-65 years) with primary single sHCC who underwent IVIM-DWI and DCE-MRI before the operation were included in this retrospective study. The MR perfusion parameters are Ktrans, Ve, Kep, D, D* and f. Pathological results include pathological grade (low grade ≤ II, high grade > II) and MVD. The perfusion parameters and pathological results of sHCC were analyzed and compared in their relevance, sensitivity and specificity. Statistical methods included Spearman and ROC curve analysis. RESULTS The perfusion parameters (Ktrans, Kep, D*, f) were significantly positive correlated (r = 0.892, 0.808, 0.589 and 0.543, P = 0.000, 0.000, 0.001 and 0.003 with MVD of sHCC. The parameter Ve and D values were negatively correlated (r = - 0.454 and - 0.399, P = 0.017 and 0.039, respectively) with the pathological grade. Regarding the evaluation MVD of sHCC, the evaluation of the sensitivity and specificity performance was present in descending order: Ktrans > Kep > PF > D*. In the evaluation pathological grade of sHCC, the sensitivity and specificity were better by parameters D than Ve. CONCLUSION DCE-MRI is better than IVIM-DWI for evaluation microcirculation functional status of sHCC. But for evaluating the pathological grade, IVIM-DWI is better than DCE-MRI. Combination of the two imaging techniques may provide more comprehensive evaluation in microcirculation functional status of the sHCC.
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Affiliation(s)
- Qiong Song
- Department of Radiology, Zhongshan Hospital of Fudan University, Fudan University, Shanghai Institute of Medical Imaging, No 130, Dongan Rd, Xuhui District, Shanghai, 200032, People's Republic of China
- Radiology Department, Xuzhou Mining Group General Hospital, Xuzhou, 221000, Jiangsu, People's Republic of China
- Shanghai Aitrox Technology Corporation Limited, Shanghai, 200032, People's Republic of China
| | - Yixian Guo
- Department of Radiology, Zhongshan Hospital of Fudan University, Fudan University, Shanghai Institute of Medical Imaging, No 130, Dongan Rd, Xuhui District, Shanghai, 200032, People's Republic of China
| | - Xiuzhong Yao
- Department of Radiology, Zhongshan Hospital of Fudan University, Fudan University, Shanghai Institute of Medical Imaging, No 130, Dongan Rd, Xuhui District, Shanghai, 200032, People's Republic of China
| | - Shengxiang Rao
- Department of Radiology, Zhongshan Hospital of Fudan University, Fudan University, Shanghai Institute of Medical Imaging, No 130, Dongan Rd, Xuhui District, Shanghai, 200032, People's Republic of China
| | - Chengyao Qian
- Shanghai Aitrox Technology Corporation Limited, Shanghai, 200032, People's Republic of China
| | - Dexian Ye
- Shanghai Aitrox Technology Corporation Limited, Shanghai, 200032, People's Republic of China
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital of Fudan University, Fudan University, Shanghai Institute of Medical Imaging, No 130, Dongan Rd, Xuhui District, Shanghai, 200032, People's Republic of China.
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Keller S, Chapiro J, Brangsch J, Reimann C, Collettini F, Sack I, Savic LJ, Hamm B, Goldberg SN, Makowski M. Quantitative MRI for Assessment of Treatment Outcomes in a Rabbit VX2 Hepatic Tumor Model. J Magn Reson Imaging 2019; 52:668-685. [PMID: 31713973 DOI: 10.1002/jmri.26968] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 09/24/2019] [Accepted: 09/25/2019] [Indexed: 12/24/2022] Open
Abstract
Globally, primary and secondary liver cancer is one of the most common cancer types, accounting 8.2% of deaths worldwide in 2018. One of the key strategies to improve the patient's prognosis is the early diagnosis, when liver function is still preserved. In hepatocellular carcinoma (HCC), the typical wash-in/wash-out pattern in conventional magnetic resonance imaging (MRI) reaches a sensitivity of 60% and specificity of 96-100%. However, in recent years functional MRI sequences such as hepatocellular-specific gadolinium-based dynamic-contrast enhanced MRI, diffusion-weighted imaging (DWI), and magnetic resonance spectroscopy (MRS) have been demonstrated to improve the evaluation of treatment success and thus the therapeutic decision-making and the patient's outcome. In the preclinical research setting, the VX2 liver rabbit tumor, which once originated from a virus-induced anaplastic squamous cell carcinoma, has played a longstanding role in experimental interventional oncology. Especially the high tumor vascularity allows assessing the treatment response of locoregional interventions such as radiofrequency ablation (RFA) and transcatheter arterial embolization (TACE). Functional MRI has been used to monitor the tumor growth and viability following interventional treatment. Besides promising results, a comprehensive overview of functional MRI sequences used so far in different treatment setting is lacking, thus lowering the comparability of study results. This review offers a comprehensive overview of study protocols, results, and limitations of quantitative MRI sequences applied to evaluate the treatment outcome of VX2 hepatic tumor models, thus generating a unique basis for future MRI studies and potential translation into the clinical setting. Level of Evidence: 2 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2019. J. Magn. Reson. Imaging 2020;52:668-685.
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Affiliation(s)
- Sarah Keller
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Julius Chapiro
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Julia Brangsch
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Carolin Reimann
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Federico Collettini
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Ingolf Sack
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Lynn Jeanette Savic
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Bernd Hamm
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Shraga Nahum Goldberg
- Department of Radiology, Hebrew University Hadassah Medical School, Jerusalem, Israel
| | - Marcus Makowski
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
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