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Shetty AS, Nigogosyan Z, Stephen V, Fraum TJ, Ludwig DR, Ippolito JE, Andrews TJ, Narra VR. Body MRI Pulse Sequences: Atlas and User Guide. Radiographics 2024; 44:e230085. [PMID: 38127659 DOI: 10.1148/rg.230085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Affiliation(s)
- Anup S Shetty
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Zack Nigogosyan
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Vincent Stephen
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Tyler J Fraum
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Daniel R Ludwig
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Joseph E Ippolito
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Trevor J Andrews
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Vamsi R Narra
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
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Wary P, Hossu G, Ambarki K, Nickel D, Arberet S, Oster J, Orry X, Laurent V. Deep learning HASTE sequence compared with T2-weighted BLADE sequence for liver MRI at 3 Tesla: a qualitative and quantitative prospective study. Eur Radiol 2023; 33:6817-6827. [PMID: 37188883 DOI: 10.1007/s00330-023-09693-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 02/26/2023] [Accepted: 03/11/2023] [Indexed: 05/17/2023]
Abstract
OBJECTIVES To qualitatively and quantitatively compare a single breath-hold fast half-Fourier single-shot turbo spin echo sequence with deep learning reconstruction (DL HASTE) with T2-weighted BLADE sequence for liver MRI at 3 T. METHODS From December 2020 to January 2021, patients with liver MRI were prospectively included. For qualitative analysis, sequence quality, presence of artifacts, conspicuity, and presumed nature of the smallest lesion were assessed using the chi-squared and McNemar tests. For quantitative analysis, number of liver lesions, size of the smallest lesion, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) in both sequences were assessed using the paired Wilcoxon signed-rank test. Intraclass correlation coefficients (ICCs) and kappa coefficients were used to assess agreement between the two readers. RESULTS One hundred and twelve patients were evaluated. Overall image quality (p = .006), artifacts (p < .001), and conspicuity of the smallest lesion (p = .001) were significantly better for the DL HASTE sequence than for the T2-weighted BLADE sequence. Significantly more liver lesions were detected with the DL HASTE sequence (356 lesions) than with the T2-weighted BLADE sequence (320 lesions; p < .001). CNR was significantly higher for the DL HASTE sequence (p < .001). SNR was higher for the T2-weighted BLADE sequence (p < .001). Interreader agreement was moderate to excellent depending on the sequence. Of the 41 supernumerary lesions visible only on the DL HASTE sequence, 38 (93%) were true-positives. CONCLUSION The DL HASTE sequence can be used to improve image quality and contrast and reduces artifacts, allowing the detection of more liver lesions than with the T2-weighted BLADE sequence. CLINICAL RELEVANCE STATEMENT The DL HASTE sequence is superior to the T2-weighted BLADE sequence for the detection of focal liver lesions and can be used in daily practice as a standard sequence. KEY POINTS • The half-Fourier acquisition single-shot turbo spin echo sequence with deep learning reconstruction (DL HASTE sequence) has better overall image quality, reduced artifacts (particularly motion artifacts), and improved contrast, allowing the detection of more liver lesions than with the T2-weighted BLADE sequence. • The acquisition time of the DL HASTE sequence is at least eight times faster (21 s) than that of the T2-weighted BLADE sequence (3-5 min). • The DL HASTE sequence could replace the conventional T2-weighted BLADE sequence to meet the growing indication for hepatic MRI in clinical practice, given its diagnostic and time-saving performance.
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Affiliation(s)
- Pierre Wary
- Department of Adult Radiology, CHRU de Nancy, 5 Rue du Morvan, 54500, Vandoeuvre-lès-Nancy, France.
| | - Gabriela Hossu
- Clinical Investigation Center Technological Innovation of Nancy, Inserm, CHRU de Nancy, Vandoeuvre-lès-Nancy, France
- Adaptive Diagnostic and Interventional Imaging, Inserm, CHRU de Nancy, Vandoeuvre-lès-Nancy, France
| | - Khalid Ambarki
- Siemens Healthcare, Siemens Healthcare SAS, Saint Denis, France
| | - Dominik Nickel
- Siemens Healthcare GmbH, MR Application Predevelopment, Erlangen, Germany
| | - Simon Arberet
- Siemens Healthineers, Digital Technology & Innovation, Princeton, NJ, USA
| | - Julien Oster
- Clinical Investigation Center Technological Innovation of Nancy, Inserm, CHRU de Nancy, Vandoeuvre-lès-Nancy, France
- Adaptive Diagnostic and Interventional Imaging, Inserm, CHRU de Nancy, Vandoeuvre-lès-Nancy, France
| | - Xavier Orry
- Department of Adult Radiology, CHRU de Nancy, 5 Rue du Morvan, 54500, Vandoeuvre-lès-Nancy, France
| | - Valérie Laurent
- Department of Adult Radiology, CHRU de Nancy, 5 Rue du Morvan, 54500, Vandoeuvre-lès-Nancy, France
- Adaptive Diagnostic and Interventional Imaging, Inserm, CHRU de Nancy, Vandoeuvre-lès-Nancy, France
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3
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Shetty AS, Fraum TJ, Ludwig DR, Hoegger MJ, Zulfiqar M, Ballard DH, Strnad BS, Rajput MZ, Itani M, Salari R, Lanier MH, Mellnick VM. Body MRI: Imaging Protocols, Techniques, and Lessons Learned. Radiographics 2022; 42:2054-2074. [DOI: 10.1148/rg.220025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Anup S. Shetty
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Tyler J. Fraum
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Daniel R. Ludwig
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Mark J. Hoegger
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Maria Zulfiqar
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - David H. Ballard
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Benjamin S. Strnad
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Mohamed Z. Rajput
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Malak Itani
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Reza Salari
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Michael H. Lanier
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Vincent M. Mellnick
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
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Li J, Ma C, Chen Y, Fu C, Wang X, Kuehn B, Yang Q, Lu J. The Feasibility of a Fast Liver MRI Protocol for Lesion Detection of Adults at 3.0-T. Front Oncol 2021; 11:586343. [PMID: 34422623 PMCID: PMC8371706 DOI: 10.3389/fonc.2021.586343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 07/19/2021] [Indexed: 11/25/2022] Open
Abstract
Purpose To investigate the feasibility of a fast liver magnetic resonance imaging (MRI) protocol for lesion detection in adults using 3.0-T MRI. Methods A fast liver MRI exam protocol was proposed. The protocol included motion-resistant coronal T2-w sequence, axial T2-w fast spin echo sequence with fat suppression, axial in-op phase gradient recalled echo (GRE) T1, axial diffusion weighted imaging (DWI), and axial contrast-enhanced T1 sequences. To evaluate the diagnostic capacity of the proposed protocol, 31 consecutive patients (20 males and 11 females; mean age, 53.2 years) underwent a liver MRI exam with conventional sequences, including the proposed protocol as a subset. Images from the conventional protocol and extracted abbreviated protocol were independently read, and the diagnostic concordance rate was assessed for each patient. The concordance analysis is presented as the proportion of concordant cases between the two protocols. Results The net measurement time of the fast liver MRI protocol without adjustment and waiting time were 4 min and 28 s. In the 31 patients included in this study, 139 suspicious findings were found from both the conventional liver MR protocol and the fast liver MRI protocol. The diagnostic concordance rate was 96.4%. Conclusions The fast liver MRI protocol is feasible at 3.0-T, with a shorter exam time and high diagnostic concordance compared to the conventional liver MRI workflow.
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Affiliation(s)
- Jing Li
- Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Shanghai, China
| | - Chao Ma
- Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Shanghai, China
| | - Yukun Chen
- Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Shanghai, China
| | - Caixia Fu
- Application Developments, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China
| | - Xinrui Wang
- Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Shanghai, China
| | - Bernd Kuehn
- Oncology Applications Predevelopment, Siemens Healthcare, Erlangen, Germany
| | - Qingsong Yang
- Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Shanghai, China
| | - Jianping Lu
- Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Shanghai, China
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Kim YY, Kang TW, Cha DI, Min JH, Kim YK, Kim SH, Sinn DH, Won H, Kim S. Gadoxetic acid-enhanced MRI for differentiating hepatic sclerosing hemangioma from malignant tumor. Eur J Radiol 2020; 135:109474. [PMID: 33352374 DOI: 10.1016/j.ejrad.2020.109474] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 12/03/2020] [Accepted: 12/07/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND To investigate the imaging features of gadoxetic acid-enhanced magnetic resonance imaging (MRI) to differentiate hepatic sclerosing hemangioma from malignant tumors. METHODS This retrospective case-control study included 18 patients with sclerosing hemangioma and 54 patients with common hepatic malignant tumor, including hepatocellular carcinoma, metastatic adenocarcinoma, and cholangiocarcinoma, who were examined using gadoxetic acid-enhanced liver MRI from January 2008 to June 2019. Imaging features including signal intensity, tumor margins, enhancement pattern, and presence or absence of diffusion restriction were analyzed. Significant MRI features for predicting sclerosing hemangioma were identified using multivariable logistic regression analysis. Diagnostic performances of each imaging feature and combinations of significant imaging features were summarized. RESULTS In the multivariable analysis, irregular margins (odds ratio [OR], 10.12; 95 % confidence interval [CI], 1.27-80.94; p = 0.029), centripetal or internal nodular enhancement in the transitional phase (OR, 13.58; 95 % CI, 1.48-124.82; p = 0.021), and absence of diffusion restriction (OR, 39.20; 95 % CI, 4.82-318.49; p = 0.001) were significant imaging features for the diagnosis of sclerosing hemangioma. Presence of at least two significant imaging features had a sensitivity, specificity, and accuracy of 88.9 %, 96.3 %, and 94.4 %, respectively, for diagnosing sclerosing hemangioma. CONCLUSION Combinations of two or more of the significant imaging features (irregular margins, centripetal or internal nodular enhancement in the transitional phase, and absence of diffusion restriction) were effective for differentiating hepatic sclerosing hemangioma from malignant tumors using gadoxetic acid-enhanced MRI.
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Affiliation(s)
- Yeun-Yoon Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Tae Wook Kang
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Dong Ik Cha
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Ji Hye Min
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Young Kon Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Seong Hyun Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Dong Hyun Sinn
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Hojeong Won
- Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea.
| | - Seonwoo Kim
- Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea.
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Kim YY, Park MS, Aljoqiman KS, Choi JY, Kim MJ. Gadoxetic acid-enhanced magnetic resonance imaging: Hepatocellular carcinoma and mimickers. Clin Mol Hepatol 2019; 25:223-233. [PMID: 30661336 PMCID: PMC6759431 DOI: 10.3350/cmh.2018.0107] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 12/14/2018] [Indexed: 12/11/2022] Open
Abstract
Gadoxetic acid, a hepatocyte-specific magnetic resonance imaging (MRI) contrast agent, has emerged as an important tool for hepatocellular carcinoma (HCC) diagnosis. Gadoxetic acid-enhanced MRI is useful for the evaluation of early-stage HCC, diagnosis of HCC precursor lesions, and highly sensitive diagnosis of HCC. Furthermore, functional information provided by gadoxetic acid-enhanced MRI can aid in the characterization of focal liver lesions. For example, whereas lesions lack functioning hepatocytes appear hypointense in the hepatobiliary phase, preserved or enhanced expression of organic anion transporting polypeptides in some HCCs as well as focal nodular hyperplasia lead to hyperintensity in the hepatobiliary phase; and a targetoid appearance on transitional phase or hepatobiliary phase imaging can be helpful for identifying the histopathological composition of tumors. While gadoxetic acid-enhanced MRI may improve the sensitivity of HCC diagnosis and provide new insights into the characterization of focal liver lesions, there are many challenges associated with its use. This article reviews the pros and cons of HCC diagnosis with gadoxetic acid-enhanced MRI and discuss some clues in the radiological differentiation of HCC from HCC mimickers.
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Affiliation(s)
- Yeun-Yoon Kim
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.,Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Mi-Suk Park
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.,Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Khalid Suliman Aljoqiman
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.,Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea.,Department of Radiology, King Faisal University College of Medicine, Al-Ahsa, Saudi Arabia
| | - Jin-Young Choi
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.,Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Myeong-Jin Kim
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.,Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
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7
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Kim B, Kim SY, Kim KW, Jang HY, Jang JK, Song GW, Lee SG. MRI in donor candidates for living donor liver transplant: Technical and practical considerations. J Magn Reson Imaging 2018; 48:1453-1467. [DOI: 10.1002/jmri.26257] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 06/12/2018] [Accepted: 06/14/2018] [Indexed: 12/13/2022] Open
Affiliation(s)
- Bohyun Kim
- Department of Radiology; Ajou University Medical Center, Ajou University School of Medicine; Suwon South Korea
| | - So Yeon Kim
- Department of Radiology and the Research Institute of Radiology; University of Ulsan College of Medicine, Asan Medical Center; Seoul South Korea
| | - Kyoung Won Kim
- Department of Radiology and the Research Institute of Radiology; University of Ulsan College of Medicine, Asan Medical Center; Seoul South Korea
| | - Hye Young Jang
- Department of Radiology and the Research Institute of Radiology; University of Ulsan College of Medicine, Asan Medical Center; Seoul South Korea
| | - Jong Keon Jang
- Department of Radiology and the Research Institute of Radiology; University of Ulsan College of Medicine, Asan Medical Center; Seoul South Korea
| | - Gi Won Song
- Department of Surgery, Division of Hepatobiliary and Liver Transplantation Surgery, Asan Medical Center; University of Ulsan College of Medicine; Seoul South Korea
| | - Sung Gyu Lee
- Department of Surgery, Division of Hepatobiliary and Liver Transplantation Surgery, Asan Medical Center; University of Ulsan College of Medicine; Seoul South Korea
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Gore RM, Pickhardt PJ, Mortele KJ, Fishman EK, Horowitz JM, Fimmel CJ, Talamonti MS, Berland LL, Pandharipande PV. Management of Incidental Liver Lesions on CT: A White Paper of the ACR Incidental Findings Committee. J Am Coll Radiol 2017; 14:1429-1437. [DOI: 10.1016/j.jacr.2017.07.018] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Accepted: 07/19/2017] [Indexed: 02/06/2023]
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9
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Donato H, França M, Candelária I, Caseiro-Alves F. Liver MRI: From basic protocol to advanced techniques. Eur J Radiol 2017; 93:30-39. [PMID: 28668428 DOI: 10.1016/j.ejrad.2017.05.028] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Revised: 05/18/2017] [Accepted: 05/22/2017] [Indexed: 02/07/2023]
Abstract
Liver MR is a well-established modality with multiparametric capabilities. However, to take advantage of its full capacity, it is mandatory to master the technique and optimize imaging protocols, apply advanced imaging concepts and understand the use of different contrast media. Physiologic artefacts although inherent to upper abdominal studies can be minimized using triggering techniques and new strategies for motion control. For standardization, the liver MR protocol should include motion-resistant T2-w sequences, in-op phase GRE T1 and T2-w fast spin echo sequences with fat suppression. Diffusion-weighted imaging (DWI) is mandatory, especially for detection of sub-centimetre metastases. Contrast-enhanced MR is the cornerstone of liver MR, especially for lesion characterization. Although extracellular agents are the most extensively used contrast agents, hepatobiliary contrast media can provide an extra-layer of functional diagnostic information adding to the diagnostic value of liver MR. The use of high field strength (3T) increases SNR but is more challenging especially concerning artefact control. Quantitative MR belongs to the new and evolving field of radiomics where the use of emerging biomarkers such as perfusion or DWI can derive new information regarding disease detection, prognostication and evaluation of tumour response. This information can overcome some of the limitations of current tests, especially when using vascular disruptive agents for oncologic treatment assessment. MR is, today, a robust, mature, multiparametric imaging modality where clinical applications have greatly expanded from morphology to advanced imaging. This new concept should be acknowledged by all those involved in producing high quality, high-end liver MR studies.
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Affiliation(s)
- Henrique Donato
- Imaging Department, Faculty of Medicine of Coimbra, University Centre Hospitals of Coimbra (CHUC), Portugal.
| | - Manuela França
- Imaging Department, Centro Hospitalar do Porto, Portugal.
| | - Isabel Candelária
- Imaging Department, Faculty of Medicine of Coimbra, University Centre Hospitals of Coimbra (CHUC), Portugal.
| | - Filipe Caseiro-Alves
- Imaging Department, Faculty of Medicine of Coimbra, University Centre Hospitals of Coimbra (CHUC), Portugal.
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Abstract
Interpreting body MRI cases can seem overwhelming to an uninitiated radiologist. The standard study includes a variety of pulse sequences, the names of which vary depending on the MR vendor. Pulse sequences may be displayed haphazardly on the picture archiving and communication system (PACS), frequently not synchronized with the imaging protocol. Adding to the complexity is the use of different gadolinium-based contrast agents, which may affect the timing and diagnostic yield of each sequence. The following introductory primer for interpreting body MRI cases is meant to create a basic framework for efficiently reviewing body MRI cases to provide high quality interpretations, fully utilizing the diagnostic information of the modality. There are 4 components that need to be mastered when interpreting body MRI cases including: (1) recognizing the key sequences in a basic body MRI protocol, (2) learning how to best display the key pulse sequences on PACS, (3) understanding the technique and clinical utility of each sequence and learning how to utilize sequences to be an "MR Pathologist", and (4) understanding the key features of the different gadolinium based contrast agents.
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11
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Karaosmanoglu AD, Onur MR, Ozmen MN, Akata D, Karcaaltincaba M. Magnetic Resonance Imaging of Liver Metastasis. Semin Ultrasound CT MR 2016; 37:533-548. [PMID: 27986172 DOI: 10.1053/j.sult.2016.08.005] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Liver magnetic resonance imaging (MRI) is becoming the gold standard in liver metastasis detection and treatment response assessment. The most sensitive magnetic resonance sequences are diffusion-weighted images and hepatobiliary phase images after Gd-EOB-DTPA. Peripheral ring enhancement, diffusion restriction, and hypointensity on hepatobiliary phase images are hallmarks of liver metastases. In patients with normal ultrasonography, computed tomography (CT), and positron emission tomography (PET)-CT findings and high clinical suspicion of metastasis, MRI should be performed for diagnosis of unseen metastasis. In melanoma, colon cancer, and neuroendocrine tumor metastases, MRI allows confident diagnosis of treatment-related changes in liver and enables differential diagnosis from primary liver tumors. Focal nodular hyperplasia-like nodules in patients who received platinum-based chemotherapy, hypersteatosis, and focal fat can mimic metastasis. In cancer patients with fatty liver, MRI should be preferred to CT. Although the first-line imaging for metastases is CT, MRI can be used as a problem-solving method. MRI may be used as the first-line method in patients who would undergo curative surgery or metastatectomy. Current limitation of MRI is low sensitivity for metastasis smaller than 3mm. MRI fingerprinting, glucoCEST MRI, and PET-MRI may allow simpler and more sensitive diagnosis of liver metastasis.
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Affiliation(s)
- Ali Devrim Karaosmanoglu
- Liver Imaging Team, Department of Radiology, School of Medicine, Hacettepe University, Ankara, Turkey
| | - Mehmet Ruhi Onur
- Liver Imaging Team, Department of Radiology, School of Medicine, Hacettepe University, Ankara, Turkey
| | - Mustafa Nasuh Ozmen
- Liver Imaging Team, Department of Radiology, School of Medicine, Hacettepe University, Ankara, Turkey
| | - Deniz Akata
- Liver Imaging Team, Department of Radiology, School of Medicine, Hacettepe University, Ankara, Turkey
| | - Musturay Karcaaltincaba
- Liver Imaging Team, Department of Radiology, School of Medicine, Hacettepe University, Ankara, Turkey.
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12
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Agostini A, Kircher MF, Do RKG, Borgheresi A, Monti S, Giovagnoni A, Mannelli L. Magnetic Resonanance Imaging of the Liver (Including Biliary Contrast Agents)-Part 2: Protocols for Liver Magnetic Resonanance Imaging and Characterization of Common Focal Liver Lesions. Semin Roentgenol 2016; 51:317-333. [PMID: 27743568 DOI: 10.1053/j.ro.2016.05.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Andrea Agostini
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY; Department of Radiology, School of Radiology, Università Politecnica delle Marche, Ancona, Italy
| | - Moritz F Kircher
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY
| | - Richard K G Do
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY
| | - Alessandra Borgheresi
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY; Department of Radiology, School of Radiology, Università degli Studi di Firenze, Firenze, Italy
| | | | - Andrea Giovagnoni
- Department of Radiology, School of Radiology, Università Politecnica delle Marche, Ancona, Italy
| | - Lorenzo Mannelli
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY.
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13
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Agostini A, Kircher MF, Do R, Borgheresi A, Monti S, Giovagnoni A, Mannelli L. Magnetic Resonance Imaging of the Liver (Including Biliary Contrast Agents) Part 1: Technical Considerations and Contrast Materials. Semin Roentgenol 2016; 51:308-316. [PMID: 27743567 DOI: 10.1053/j.ro.2016.05.015] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Affiliation(s)
- A Agostini
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY; Department of Radiology, School of Radiology, Universita' Politecnica delle Marche Ancona, Italy
| | - M F Kircher
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY
| | - R Do
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY
| | - A Borgheresi
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY; Department of Radiology, School of Radiology, Universita' degli Studi di Firenze Firenze, Italy
| | | | - A Giovagnoni
- Department of Radiology, School of Radiology, Universita' Politecnica delle Marche Ancona, Italy
| | - L Mannelli
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY.
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