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Fite BZ, Wang J, Ghanouni P, Ferrara KW. A Review of Imaging Methods to Assess Ultrasound-Mediated Ablation. BME FRONTIERS 2022; 2022:9758652. [PMID: 35957844 PMCID: PMC9364780 DOI: 10.34133/2022/9758652] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 02/21/2022] [Indexed: 12/18/2022] Open
Abstract
Ultrasound ablation techniques are minimally invasive alternatives to surgical resection and have rapidly increased in use. The response of tissue to HIFU ablation differs based on the relative contributions of thermal and mechanical effects, which can be varied to achieve optimal ablation parameters for a given tissue type and location. In tumor ablation, similar to surgical resection, it is desirable to include a safety margin of ablated tissue around the entirety of the tumor. A factor in optimizing ablative techniques is minimizing the recurrence rate, which can be due to incomplete ablation of the target tissue. Further, combining focal ablation with immunotherapy is likely to be key for effective treatment of metastatic cancer, and therefore characterizing the impact of ablation on the tumor microenvironment will be important. Thus, visualization and quantification of the extent of ablation is an integral component of ablative procedures. The aim of this review article is to describe the radiological findings after ultrasound ablation across multiple imaging modalities. This review presents readers with a general overview of the current and emerging imaging methods to assess the efficacy of ultrasound ablative treatments.
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Affiliation(s)
- Brett Z. Fite
- Department of Radiology, Stanford University, Palo Alto, CA 94305, USA
| | - James Wang
- Department of Radiology, Stanford University, Palo Alto, CA 94305, USA
| | - Pejman Ghanouni
- Department of Radiology, Stanford University, Palo Alto, CA 94305, USA
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Ye YJ, Huang XJ, Luo BC, Wang XY, Cai XR. Application of Multiparametric Magnetic Resonance Imaging to Monitor the Early Antitumor Effect of CuS@GOD Nanoparticles in a 4 T1 Breast Cancer Xenograft Model. J Magn Reson Imaging 2021; 55:301-310. [PMID: 34427359 DOI: 10.1002/jmri.27867] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 07/20/2021] [Accepted: 07/20/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND We have developed hybrid nanoparticles (NPs) by co-loading copper sulfide (CuS) NPs and glucose oxidase (GOD) (CuS@GOD NPs) to explore their antitumor properties. PURPOSE To investigate the feasibility of using multiparametric magnetic resonance imaging (MRI) including intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) and R2 * mapping to quantitatively assess the early antitumor effect of CuS@GOD NPs. STUDY TYPE Prospective. ANIMAL MODEL The orthotopic BALB/c mice 4 T1 breast cancer model. The 4 T1 xenografts in group 1 mice received normal saline, group 2 received CuS@GOD NPs, group 3 received CuS NPs plus laser, and group 4 received CuS@GOD NPs plus laser (n = 28 for each group). FIELD STRENGTH/SEQUENCE A 3.0 T/IVIM-DWI MRI single-shot echo-planar imaging, R2 * mapping spoiled gradient recalled echo (SPGR) sequence, T2-weighted images (T2WI) and T1-weighted images (T1WI) fast spin echo (FSE) sequence. ASSESSMENT The IVIM-DWI and R2 * mapping were performed before and after treatment at 0 hour, 0.5 hour, 1 hour, 2 hours, 4 hours, and 24 hours in four groups and the MRI parameters were obtained. Correlation analysis between the MRI parameters and histological analyses was conducted. STATISTICAL TESTS One-way ANOVA, Pearson's correlation analysis, two independent samples t test, intraclass correlation coefficient. P < 0.05 was considered to be statistically significant. RESULTS In group 4, the tumoral D value was significantly higher than that of group 2 at 24 hours (0.541 ± 0.065 vs. 0.492 ± 0.051). The f value of group 4 was significantly lower than that of groups 1 and 2 at 2 hours (10.83 ± 2.16 vs. 14.28 ± 1.86, 16.67 ± 3.53, respectively). The R2 * value was significantly increased at 0 hour in group 4 compared to that of groups 1 and 2 (64.552 ± 4.663 vs. 42.441 ± 1.516, 43.165 ± 1.709, respectively). D, f, and R2 * were correlated with the histological staining results (r = 0.695-0.970). DATA CONCLUSION The IVIM-DWI-derived D and f and R2 * mapping-derived R2 * could monitor early response to CuS@GOD NPs treatment in vivo. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Yao-Jiang Ye
- Medical Imaging Center, the First Affiliated Hospital of Jinan University, No. 613 West Huangpu Avenue, Tianhe District, Guangzhou, China
| | - Xiu-Jie Huang
- State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, 381 Wushan Road, Tianhe District, Guangzhou, China
| | - Bi-Chong Luo
- State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, 381 Wushan Road, Tianhe District, Guangzhou, China
| | - Xiao-Ying Wang
- State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, 381 Wushan Road, Tianhe District, Guangzhou, China
| | - Xiang-Ran Cai
- Medical Imaging Center, the First Affiliated Hospital of Jinan University, No. 613 West Huangpu Avenue, Tianhe District, Guangzhou, China
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Native T1 Mapping Magnetic Resonance Imaging as a Quantitative Biomarker for Characterization of the Extracellular Matrix in a Rabbit Hepatic Cancer Model. Biomedicines 2020; 8:biomedicines8100412. [PMID: 33066169 PMCID: PMC7601966 DOI: 10.3390/biomedicines8100412] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 10/07/2020] [Accepted: 10/08/2020] [Indexed: 12/16/2022] Open
Abstract
To characterize the tumor extracellular matrix (ECM) using native T1 mapping magnetic resonance imaging (MRI) in an experimental hepatic cancer model, a total of 27 female New Zealand white rabbits with hepatic VX2 tumors were examined by MRI at different time points following tumor implantation (day 14, 21, 28). A steady-state precession readout single-shot MOLLI sequence was acquired in a 3 T MRI scanner in prone position using a head-neck coil. The tumors were segmented into a central, marginal, and peritumoral region in anatomical images and color-coded T1 maps. In histopathological sections, stained with H&E and Picrosirius red, the regions corresponded to central tumor necrosis and accumulation of viable cells with fibrosis in the tumor periphery. Another region of interest (ROI) was placed in healthy liver tissue. T1 times were correlated with quantitative data of collagen area staining. A two-way repeated-measures ANOVA was used to compare cohorts and tumor regions. Hepatic tumors were successfully induced in all rabbits. T1 mapping demonstrated significant differences between the different tumor regions (F(1.43,34.26) = 106.93, p < 0.001) without interaction effects between time points and regions (F(2.86,34.26) = 0.74, p = 0.53). In vivo T1 times significantly correlated with ex vivo collagen stains (area %), (center: r = 0.78, p < 0.001; margin: r = 0.84, p < 0.001; peritumoral: r = 0.73, p < 0.001). Post hoc tests using Sidak’s correction revealed significant differences in T1 times between all three regions (p < 0.001). Native T1 mapping is feasible and allows the differentiation of tumor regions based on ECM composition in a longitudinal tumor study in an experimental small animal model, making it a potential quantitative biomarker of ECM remodeling and a promising technique for future treatment studies.
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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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Hu S, Sun C, Wang B, Zhou K, Pan L, Shangguan J, Yang J, Yaghmai V, Figini M, Zhang Z. Diffusion-Weighted MR Imaging to Evaluate Immediate Response to Irreversible Electroporation in a Rabbit VX2 Liver Tumor Model. J Vasc Interv Radiol 2019; 30:1863-1869. [PMID: 31542271 DOI: 10.1016/j.jvir.2019.05.030] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 05/26/2019] [Accepted: 05/31/2019] [Indexed: 02/09/2023] Open
Abstract
PURPOSE To evaluate the feasibility of diffusion-weighted imaging (DWI) in magnetic resonance imaging for quantitative measurement of responses following irreversible electroporation (IRE) in a rabbit liver tumor model. MATERIALS AND METHODS Twelve rabbits underwent ultrasound-guided VX2 tumor implantation in the left medial and left lateral liver lobes. The tumors in the left medial lobe were treated with IRE, whereas those in the left lateral lobe served as internal controls. DWI was performed before and immediately after IRE. Tumors were then harvested for histopathologic staining. The apparent diffusion coefficient (ADC) and change in ADC (ΔADC) were calculated based on DWI. Tumor apoptosis index (AI) was assessed by terminal deoxynucleotidyl transferase dUTP nick-end labeling. These measurements from DWI and histopathology were compared between untreated and treated tumors. RESULTS The ADC values, ΔADC, and AI showed statistically significant differences between treated and untreated tumors (P < .05 for all). ADC values were higher in treated tumors than in untreated tumors (1.08 × 10-3 mm2/s ± 0.15 vs 0.88 × 10-3 mm2/s ± 0.19; P = .042). CONCLUSIONS DWI can be used to quantitatively evaluate treatment response in liver tumors immediately after IRE.
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Affiliation(s)
- Su Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China; Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave., 16th Floor, Chicago, IL 60611
| | - Chong Sun
- Department of Orthopedics, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Bin Wang
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave., 16th Floor, Chicago, IL 60611; Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, Guangzhou, China
| | - Kang Zhou
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave., 16th Floor, Chicago, IL 60611; Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Liang Pan
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave., 16th Floor, Chicago, IL 60611; Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Junjie Shangguan
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave., 16th Floor, Chicago, IL 60611
| | - Jia Yang
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave., 16th Floor, Chicago, IL 60611
| | - Vahid Yaghmai
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave., 16th Floor, Chicago, IL 60611; Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, Illinois
| | - Matteo Figini
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave., 16th Floor, Chicago, IL 60611
| | - Zhuoli Zhang
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave., 16th Floor, Chicago, IL 60611; Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, Illinois.
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