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Ramachandran A, Hussain H, Seiberlich N, Gulani V. Perfusion MR Imaging of Liver: Principles and Clinical Applications. Magn Reson Imaging Clin N Am 2024; 32:151-160. [PMID: 38007277 DOI: 10.1016/j.mric.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2023]
Abstract
Perfusion imaging techniques provide quantitative characterization of tissue microvasculature. Perfusion MR of liver is particularly challenging because of dual afferent flow, need for large organ high-resolution coverage, and significant movement with respiration. The most common MR technique used for quantifying liver perfusion is dynamic contrast-enhanced MR imaging. Here, the authors describe the various perfusion MR models of the liver, the basic concepts behind implementing a perfusion acquisition, and clinical results that have been obtained using these models.
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Affiliation(s)
- Anupama Ramachandran
- Brigham and Women's Hospital, Harvard University, Boston, MA, USA; Department of Radiology, University of Michigan, AnnArbor, MI, USA
| | - Hero Hussain
- Department of Radiology, University of Michigan, AnnArbor, MI, USA
| | | | - Vikas Gulani
- Department of Radiology, University of Michigan, AnnArbor, MI, USA.
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2
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Ma FZ, Wáng YXJ. T2 relaxation time elongation of hepatocellular carcinoma relative to native liver tissue leads to an underestimation of perfusion fraction measured by standard intravoxel incoherent motion magnetic resonance imaging. Quant Imaging Med Surg 2024; 14:1316-1322. [PMID: 38223120 PMCID: PMC10784108 DOI: 10.21037/qims-23-1437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 11/14/2023] [Indexed: 01/16/2024]
Affiliation(s)
- Fu-Zhao Ma
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Yì Xiáng J Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
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Pepe A, Crimì F, Vernuccio F, Cabrelle G, Lupi A, Zanon C, Gambato S, Perazzolo A, Quaia E. Medical Radiology: Current Progress. Diagnostics (Basel) 2023; 13:2439. [PMID: 37510183 PMCID: PMC10378672 DOI: 10.3390/diagnostics13142439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/10/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
Recently, medical radiology has undergone significant improvements in patient management due to advancements in image acquisition by the last generation of machines, data processing, and the integration of artificial intelligence. In this way, cardiovascular imaging is one of the fastest-growing radiological subspecialties. In this study, a compressive review was focused on addressing how and why CT and MR have gained a I class indication in most cardiovascular diseases, and the potential impact of tissue and functional characterization by CT photon counting, quantitative MR mapping, and 4-D flow. Regarding rectal imaging, advances in cancer imaging using diffusion-weighted MRI sequences for identifying residual disease after neoadjuvant chemoradiotherapy and [18F] FDG PET/MRI were provided for high-resolution anatomical and functional data in oncological patients. The results present a large overview of the approach to the imaging of diffuse and focal liver diseases by US elastography, contrast-enhanced US, quantitative MRI, and CT for patient risk stratification. Italy is currently riding the wave of these improvements. The development of large networks will be crucial to create high-quality databases for patient-centered precision medicine using artificial intelligence. Dedicated radiologists with specific training and a close relationship with the referring clinicians will be essential human factors.
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Affiliation(s)
- Alessia Pepe
- Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy
| | - Filippo Crimì
- Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy
| | - Federica Vernuccio
- Department of Radiology, University Hospital of Padua, 35128 Padua, Italy
| | - Giulio Cabrelle
- Department of Radiology, University Hospital of Padua, 35128 Padua, Italy
| | - Amalia Lupi
- Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy
| | - Chiara Zanon
- Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy
| | - Sebastiano Gambato
- Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy
| | - Anna Perazzolo
- Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy
- Institute of Radiology, Department of Medicine, Azienda Ospedaliero-Universitaria Santa Maria della Misericordia, University of Udine, 33100 Udine, Italy
| | - Emilio Quaia
- Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy
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Criss C, Nagar AM, Makary MS. Hepatocellular carcinoma: State of the art diagnostic imaging. World J Radiol 2023; 15:56-68. [PMID: 37035828 PMCID: PMC10080581 DOI: 10.4329/wjr.v15.i3.56] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 02/12/2023] [Accepted: 03/22/2023] [Indexed: 03/27/2023] Open
Abstract
Primary liver cancer is the fourth most common malignancy worldwide, with hepatocellular carcinoma (HCC) comprising up to 90% of cases. Imaging is a staple for surveillance and diagnostic criteria for HCC in current guidelines. Because early diagnosis can impact treatment approaches, utilizing new imaging methods and protocols to aid in differentiation and tumor grading provides a unique opportunity to drastically impact patient prognosis. Within this review manuscript, we provide an overview of imaging modalities used to screen and evaluate HCC. We also briefly discuss emerging uses of new imaging techniques that offer the potential for improving current paradigms for HCC characterization, management, and treatment monitoring.
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Affiliation(s)
- Cody Criss
- Heritage College of Osteopathic Medicine, Ohio University, Athens, OH 45701, United States
| | - Arpit M Nagar
- Department of Radiology, The Ohio State University Medical Center, Columbus, OH 43210, United States
| | - Mina S Makary
- Department of Radiology, The Ohio State University Medical Center, Columbus, OH 43210, United States
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Candita G, Rossi S, Cwiklinska K, Fanni SC, Cioni D, Lencioni R, Neri E. Imaging Diagnosis of Hepatocellular Carcinoma: A State-of-the-Art Review. Diagnostics (Basel) 2023; 13:diagnostics13040625. [PMID: 36832113 PMCID: PMC9955560 DOI: 10.3390/diagnostics13040625] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 02/04/2023] [Accepted: 02/06/2023] [Indexed: 02/10/2023] Open
Abstract
Hepatocellular carcinoma (HCC) remains not only a cause of a considerable part of oncologic mortality, but also a diagnostic and therapeutic challenge for healthcare systems worldwide. Early detection of the disease and consequential adequate therapy are imperative to increase patients' quality of life and survival. Imaging plays, therefore, a crucial role in the surveillance of patients at risk, the detection and diagnosis of HCC nodules, as well as in the follow-up post-treatment. The unique imaging characteristics of HCC lesions, deriving mainly from the assessment of their vascularity on contrast-enhanced computed tomography (CT), magnetic resonance (MR) or contrast-enhanced ultrasound (CEUS), allow for a more accurate, noninvasive diagnosis and staging. The role of imaging in the management of HCC has further expanded beyond the plain confirmation of a suspected diagnosis due to the introduction of ultrasound and hepatobiliary MRI contrast agents, which allow for the detection of hepatocarcinogenesis even at an early stage. Moreover, the recent technological advancements in artificial intelligence (AI) in radiology contribute an important tool for the diagnostic prediction, prognosis and evaluation of treatment response in the clinical course of the disease. This review presents current imaging modalities and their central role in the management of patients at risk and with HCC.
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Chiang J, Sparks H, Rink JS, Meloni MF, Hao F, Sung KH, Lee EW. Dynamic Contrast-Enhanced MR Imaging Evaluation of Perfusional Changes and Ablation Zone Size after Combination Embolization and Ablation Therapy. J Vasc Interv Radiol 2023; 34:253-260. [PMID: 36368517 DOI: 10.1016/j.jvir.2022.10.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 09/29/2022] [Accepted: 10/28/2022] [Indexed: 11/09/2022] Open
Abstract
PURPOSE The objectives of this study were to assess the utility of dynamic contrast-enhanced magnetic resonance (MR) imaging in quantifying parenchymal perfusional changes after embolization and to characterize the association between pharmacokinetic (PK) parameters and final microwave ablation volume. MATERIALS AND METHODS PK parameters from dynamic contrast-enhanced MR imaging were used to quantify perfusional changes in the liver after transarterial embolization of the right or left lobe in a swine liver model (n = 5). Each animal subject subsequently underwent microwave ablation (60 W for 5 minutes) of the embolized and nonembolized liver lobes. Changes in PK parameters from dynamic contrast-enhanced MR imaging were correlated with their respective final microwave ablation volumes in each liver lobe. RESULTS Microwave ablation volumes of embolized liver lobes were significantly larger than those of nonembolized liver lobes (28.0 mL ± 6.2 vs 15.1 mL ± 5.2, P < .001). PK perfusion parameters were significantly lower in embolized liver lobes than in nonembolized liver lobes (Ktrans = 0.69 min-1 ± 0.15 vs 1.52 min-1 ± 0.37, P < .001; kep = 0.69 min-1 ± 0.19 vs 1.54 min-1 ± 0.42, P < .001). There was a moderate but significant correlation between normalized kep and ablation volume, with each unit increase in normalized kep corresponding to a 9.8-mL decrease in ablation volume (P = .035). CONCLUSIONS PK-derived parameters from dynamic contrast-enhanced MR imaging can be used to quantify perfusional changes after transarterial embolization and are directly inversely correlated with final ablation volume.
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Affiliation(s)
- Jason Chiang
- Department of Radiology, Ronald Reagan UCLA Medical Center, Los Angeles, California.
| | - Hiro Sparks
- Department of Radiology, Ronald Reagan UCLA Medical Center, Los Angeles, California
| | - Johann S Rink
- Department of Clinical Radiology and Nuclear Medicine, University Hospital Mannheim, Mannheim, Germany
| | - M Franca Meloni
- Casa di Cura Igea Milano, Inteventional Radiology, Department of Radiology, Casa di Cura Igea, Milan, Italy
| | - Frank Hao
- Department of Radiology, Ronald Reagan UCLA Medical Center, Los Angeles, California
| | - Kyung H Sung
- Department of Radiology, Ronald Reagan UCLA Medical Center, Los Angeles, California
| | - Edward W Lee
- Department of Radiology, Ronald Reagan UCLA Medical Center, Los Angeles, California
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Cannella R, Sartoris R, Grégory J, Garzelli L, Vilgrain V, Ronot M, Dioguardi Burgio M. Quantitative magnetic resonance imaging for focal liver lesions: bridging the gap between research and clinical practice. Br J Radiol 2021; 94:20210220. [PMID: 33989042 PMCID: PMC8173689 DOI: 10.1259/bjr.20210220] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Magnetic resonance imaging (MRI) is highly important for the detection, characterization, and follow-up of focal liver lesions. Several quantitative MRI-based methods have been proposed in addition to qualitative imaging interpretation to improve the diagnostic work-up and prognostics in patients with focal liver lesions. This includes DWI with apparent diffusion coefficient measurements, intravoxel incoherent motion, perfusion imaging, MR elastography, and radiomics. Multiple research studies have reported promising results with quantitative MRI methods in various clinical settings. Nevertheless, applications in everyday clinical practice are limited. This review describes the basic principles of quantitative MRI-based techniques and discusses the main current applications and limitations for the assessment of focal liver lesions.
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Affiliation(s)
- Roberto Cannella
- Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France.,Section of Radiology - BiND, University Hospital "Paolo Giaccone", Via del Vespro 129, 90127 Palermo, Italy.,Department of Health Promotion Sciences Maternal and Infant Care, Internal Medicine and Medical Specialties, PROMISE, University of Palermo, 90127 Palermo, Italy
| | | | - Jules Grégory
- Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France.,Université de Paris, Paris, France
| | - Lorenzo Garzelli
- Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France.,Université de Paris, Paris, France
| | - Valérie Vilgrain
- Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France.,Université de Paris, Paris, France.,INSERM U1149, CRI, Paris, France
| | - Maxime Ronot
- Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France.,Université de Paris, Paris, France.,INSERM U1149, CRI, Paris, France
| | - Marco Dioguardi Burgio
- Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France.,INSERM U1149, CRI, Paris, France
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Liang H, Hu C, Lu J, Zhang T, Jiang J, Ding D, Du S, Duan S. Correlation of radiomic features on dynamic contrast-enhanced magnetic resonance with microvessel density in hepatocellular carcinoma based on different models. J Int Med Res 2021; 49:300060521997586. [PMID: 33682491 PMCID: PMC7944531 DOI: 10.1177/0300060521997586] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Objective To explore the correlations of radiomic features of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with microvessel density (MVD) in patients with hepatocellular carcinoma (HCC), based on single-input and dual-input two-compartment extended Tofts (SITET and DITET) models. Methods We compared the quantitative parameters of SITET and DITET models for DCE-MRI in 30 patients with HCC using paired sample t-tests. The correlations of SITET and DITET model parameters with CD31-MVD and CD34-MVD were analyzed using Pearson’s correlation analysis. A diagnostic model of CD34-MVD was established and the diagnostic abilities of models for MVD were analyzed using receiver operating characteristic curve (ROC) analysis. Results There were significant differences between the quantitative parameters in the two kinds of models. Compared with SITET, DITET parameters showed better correlations with CD31-MVD and CD34-MVD. The Ktrans and Ve radiomics features of the DITET model showed high efficiency for predicting the level of CD34-MVD according to ROC analysis, with areas under curves of 0.83 and 0.94, respectively. Conclusion Compared with SITET, the DITET model provides a better indication of the microcirculation of HCC and is thus more suitable for examining patients with HCC.
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Affiliation(s)
- Hongwei Liang
- Department of Radiology, First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Medical Imaging, Soochow University, Suzhou, China.,Department of Radiology, Nantong Third People's Hospital, Nantong, China
| | - Chunhong Hu
- Department of Radiology, First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Medical Imaging, Soochow University, Suzhou, China
| | - Jian Lu
- Department of Radiology, Nantong Third People's Hospital, Nantong, China
| | - Tao Zhang
- Department of Radiology, Nantong Third People's Hospital, Nantong, China
| | - Jifeng Jiang
- Department of Radiology, Nantong Third People's Hospital, Nantong, China
| | - Ding Ding
- Department of Radiology, Nantong Third People's Hospital, Nantong, China
| | - Sheng Du
- Department of Radiology, Nantong Third People's Hospital, Nantong, China
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Taouli B, Alves FC. Imaging biomarkers of diffuse liver disease: current status. Abdom Radiol (NY) 2020; 45:3381-3385. [PMID: 32583139 DOI: 10.1007/s00261-020-02619-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 06/09/2020] [Accepted: 06/13/2020] [Indexed: 12/15/2022]
Abstract
We are happy to introduce this special issue of Abdominal Radiology on "diffuse liver disease". We have invited imaging experts to discuss various topics pertaining to diffuse liver disease, covering a vast array of imaging techniques including ultrasound (US), CT, MRI and new molecular imaging agents. Below, we briefly discussed the current status, limitations, and future directions of imaging biomarkers of diffuse liver disease.
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Affiliation(s)
- Bachir Taouli
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine At Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA.
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine At Mount Sinai, New York, NY, USA.
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Mansour R, Thibodeau Antonacci A, Bilodeau L, Vazquez Romaguera L, Cerny M, Huet C, Gilbert G, Tang A, Kadoury S. Impact of temporal resolution and motion correction for dynamic contrast-enhanced MRI of the liver using an accelerated golden-angle radial sequence. Phys Med Biol 2020; 65:085004. [PMID: 32084661 DOI: 10.1088/1361-6560/ab78be] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
This paper presents a prospective study evaluating the impact on image quality and quantitative dynamic contrast-enhanced (DCE)-MRI perfusion parameters when varying the number of respiratory motion states when using an eXtra-Dimensional Golden-Angle Radial Sparse Parallel (XD-GRASP) MRI sequence. DCE acquisition was performed using a 3D stack-of-stars gradient-echo golden-angle radial acquisition in free-breathing with 100 spokes per motion state and temporal resolution of 6 s/volume, and using a non-rigid motion compensation to align different motion states. Parametric analysis was conducted using a dual-input single-compartment model. Nonparametric analysis was performed on the time-intensity curves. A total of 22 hepatocellular carcinomas (size: 11-52 mm) were evaluated. XD-GRASP reconstructed with increasing number of spokes for each motion state increased the signal-to-noise ratio (SNR) (p < 0.05) but decreased temporal resolution (0.04 volume/s vs 0.17 volume/s for one motion state) (p < 0.05). A visual scoring by an experienced radiologist show no change between increasing number of motion states with same number of spokes using the Likert score. The normalized maximum intensity time ratio, peak enhancement ratio and tumor arterial fraction increased with decreasing number of motion states (p < 0.05) while the transfer constant from the portal venous plasma to the surrounding tissue significantly decreased (p < 0.05). These same perfusion parameters show a significant difference in case of tumor displacement more than 1 cm (p < 0.05) whereas in the opposite case there was no significant variation. While a higher number of motion states and higher number of spokes improves SNR, the resulting lower temporal resolution can influence quantitative parameters that capture rapid signal changes. Finally, fewer displacement compensation is advantageous with lower number of motion state due to the higher temporal resolution. XD-GRASP can be used to perform quantitative perfusion measures in the liver, but the number of motion states may significantly alter some quantitative parameters.
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Affiliation(s)
- Rihab Mansour
- Centre hospitalier de l'Université de Montréal (CHUM) Research center, Montréal, QC, Canada
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Thüring J, Kuhl CK, Barabasch A, Hitpass L, Bode M, Bünting N, Bruners P, Krämer NA. Signal changes in T2-weighted MRI of liver metastases under bevacizumab-A practical imaging biomarker? PLoS One 2020; 15:e0230553. [PMID: 32231380 PMCID: PMC7108712 DOI: 10.1371/journal.pone.0230553] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 02/28/2020] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVE The purpose of this study was to investigate signal changes in T2-weighted magnetic resonance imaging of liver metastases under treatment with and without bevacizumab-containing chemotherapy and to compare these signal changes to tumor contrast enhancement. MATERIALS AND METHODS Retrospective analysis of 44 patients, aged 36-84 years, who underwent liver magnetic resonance imaging including T2-weighted and dynamic contrast enhancement sequences. Patients received bevacizumab-containing (n = 22) or conventional cytotoxic chemotherapy (n = 22). Magnetic resonance imaging was obtained at baseline and at three follow-ups (on average 3, 6 and 9 months after initial treatment). Three independent readers rated the T2 signal intensity and the relative contrast enhancement of the metastases on a 5-point scale. RESULTS T2 signal intensity of metastases treated with bevacizumab showed a significant (p<0.001) decrease in T2 signal intensity after initial treatment and exhibit compared to conventionally treated metastases significantly (p<0.001 for each follow-up) hypointense (bevacizumab: 0.70 ± 0.83 before vs. -1.55 ± 0.61, -1.91 ± 0.62, and -1.97 ± 0.52; cytotoxic: 0.73 ± 0.79 before vs. -0.69 ± 0.81, -0.71 ± 0.68, and -0.75 ± 0.65 after 3, 6, and 9 months, respectively). T2 signal intensity was strongly correlated with tumor contrast enhancement (r = 0.71; p<0.001). Intra-observer agreement for T2-signal intensity was substantial (κ = 0.75). The agreement for tumoral contrast enhancement between the readers was considerably lower (κ = 0.39). CONCLUSION Liver metastases exhibit considerably hypointense in T2-weighted imaging after treatment with bevacizumab, in contrast to conventionally treated liver metastases. Therefore, T2-weighted imaging seems to reflect the effect of bevacizumab.
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Affiliation(s)
- Johannes Thüring
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, Germany
| | - Christiane Katharina Kuhl
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, Germany
| | - Alexandra Barabasch
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, Germany
| | - Lea Hitpass
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, Germany
| | - Maike Bode
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, Germany
| | - Nina Bünting
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, Germany
| | - Philipp Bruners
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, Germany
| | - Nils Andreas Krämer
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, Germany
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Thibodeau-Antonacci A, Petitclerc L, Gilbert G, Bilodeau L, Olivié D, Cerny M, Castel H, Turcotte S, Huet C, Perreault P, Soulez G, Chagnon M, Kadoury S, Tang A. Dynamic contrast-enhanced MRI to assess hepatocellular carcinoma response to Transarterial chemoembolization using LI-RADS criteria: A pilot study. Magn Reson Imaging 2019; 62:78-86. [PMID: 31247250 DOI: 10.1016/j.mri.2019.06.017] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Revised: 06/05/2019] [Accepted: 06/23/2019] [Indexed: 02/07/2023]
Abstract
PURPOSE To identify quantitative dynamic contrast-enhanced (DCE)-MRI perfusion parameters indicating tumor response of hepatocellular carcinoma (HCC) to transarterial chemoembolization (TACE). MATERIALS AND METHODS This prospective pilot study was approved by our institutional review board; written and informed consent was obtained for each participant. Patients underwent DCE-MRI examinations before and after TACE. A variable flip-angle unenhanced 3D mDixon sequence was performed for T1 mapping. A dynamic 4D mDixon sequence was performed after contrast injection for assessing dynamic signal enhancement. Nonparametric analysis was conducted on the time-intensity curves. Parametric analysis was performed on the time-concentration curves using a dual-input single-compartment model. Treatment response according to Liver Reporting and Data System (LI-RADS) v2018 was used as the reference standard. The comparisons within groups (before vs. after treatment) and between groups (nonviable vs. equivocal or viable tumor) were performed using nonparametric bootstrap taking into account the clustering effect of lesions in patients. RESULTS Twenty-eight patients with 52 HCCs (size: 10-104 mm) were evaluated. For nonviable tumors (n = 27), time to peak increased from 62.5 ± 18.2 s before to 83.3 ± 12.8 s after treatment (P< 0.01). For equivocal or viable tumors (n = 25), time to peak and mean transit time significantly increased (from 54.4 ± 24.1 s to 69.5 ± 18.9 s, P < 0.01 and from 14.2 ± 11.8 s to 33.9 ± 36.8 s, P= 0.01, respectively) and the transfer constant from the extracellular and extravascular space to the central vein significantly decreased from 14.8 ± 14.1 to 8.1 ± 9.1 s-1 after treatment (P= 0.01). CONCLUSION This prospective pilot DCE-MRI study showed that time to peak significantly changed after TACE treatment for both groups (nonviable tumors and equivocal or viable tumors). In our cohort, several perfusion parameters may provide an objective marker for differentiation of treatment response after TACE in HCC patients.
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Affiliation(s)
- Alana Thibodeau-Antonacci
- Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada; Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada
| | - Léonie Petitclerc
- Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada; Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada
| | | | - Laurent Bilodeau
- Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada
| | - Damien Olivié
- Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada
| | - Milena Cerny
- Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada; Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada
| | - Hélène Castel
- Department of Hepatology and Liver transplantation, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada
| | - Simon Turcotte
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada; Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Service, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada
| | - Catherine Huet
- Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada
| | - Pierre Perreault
- Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada
| | - Gilles Soulez
- Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada
| | - Miguel Chagnon
- Department of Mathematics and Statistics, Université de Montréal, QC, Canada
| | - Samuel Kadoury
- Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada; Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada; École Polytechnique, Montréal, Québec, Canada
| | - An Tang
- Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada; Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
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