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Chen Y, Lu T, Zhang Y, Li H, Xu J, Li M. Baseline hepatobiliary MRI for predicting chemotherapeutic response and prognosis in initially unresectable colorectal cancer liver metastases. Abdom Radiol (NY) 2024; 49:2585-2594. [PMID: 39034308 DOI: 10.1007/s00261-024-04492-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 06/27/2024] [Accepted: 07/06/2024] [Indexed: 07/23/2024]
Abstract
PURPOSE To evaluate the performance of hepatobiliary MRI parameters as predictors of clinical response to chemotherapy in patients with initially unresectable colorectal cancer liver metastases (CRLM). METHODS Eighty-five patients with initially unresectable CRLM were retrospectively enrolled from two hospitals and scanned using gadobenate dimeglumine-enhanced MRI before treatment. Therapy response was evaluated based on the Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. Conventional parameters (i.e., signal intensity [SI]) and radiomics features of portal venous phase (PVP) and hepatobiliary phase (HBP) images were analyzed between the responders and non-responders. Next, the combined model was constructed, and the area under the receiver operating characteristic (ROC) curve (AUC) was calculated. The relationship between the combined model and progression-free survival (PFS) was analyzed using Cox regression. RESULTS Of the 85 patients from two hospitals, 42 were in the response group, and 43 were in the non-response group. Upon conducting five-fold cross-validation, the normalized relative enhancement (NRE) of CRLM during the PVP yielded an AUC of 0.625. Additionally, a radiomics feature derived from the tumor area in the HBP achieved an AUC of 0.698, while a separate feature extracted from the peritumoral region in the HBP recorded an AUC of 0.709. The model that integrated these three features outperformed the individual features, achieving an AUC of 0.818. Furthermore, the combined model exhibited a significant correlation with PFS (P < 0.001). CONCLUSION The combined model, based on baseline hepatobiliary MRI, aids in predicting chemotherapeutic response and PFS in patients with initially unresectable CRLM.
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Affiliation(s)
- Yazheng Chen
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section of First Ring Road, Qingyang District, Chengdu, 610072, Sichuan, China
| | - Tao Lu
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section of First Ring Road, Qingyang District, Chengdu, 610072, Sichuan, China
| | - Yongchang Zhang
- Department of Radiology, Chengdu Seventh People's Hospital, Chengdu, 610213, Sichuan, China
| | - Hang Li
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section of First Ring Road, Qingyang District, Chengdu, 610072, Sichuan, China
| | - Jingxu Xu
- Department of Research Collaboration, R&D Center, Hangzhou Deepwise & League of PHD Technology Co., Ltd, Hangzhou, China
| | - Mou Li
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section of First Ring Road, Qingyang District, Chengdu, 610072, Sichuan, China.
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2
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Frenette C, Mendiratta-Lala M, Salgia R, Wong RJ, Sauer BG, Pillai A. ACG Clinical Guideline: Focal Liver Lesions. Am J Gastroenterol 2024; 119:1235-1271. [PMID: 38958301 DOI: 10.14309/ajg.0000000000002857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 04/25/2024] [Indexed: 07/04/2024]
Abstract
Focal liver lesions (FLLs) have become an increasingly common finding on abdominal imaging, especially asymptomatic and incidental liver lesions. Gastroenterologists and hepatologists often see these patients in consultation and make recommendations for management of multiple types of liver lesions, including hepatocellular adenoma, focal nodular hyperplasia, hemangioma, and hepatic cystic lesions including polycystic liver disease. Malignancy is important to consider in the differential diagnosis of FLLs, and healthcare providers must be familiar with the diagnosis and management of FLLs. This American College of Gastroenterology practice guideline uses the best evidence available to make diagnosis and management recommendations for the most common FLLs.
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Affiliation(s)
| | | | - Reena Salgia
- Department of Gastroenterology/Hepatology, Henry Ford Health, Detroit, Michigan, USA
| | - Robert J Wong
- Division of Gastroenterology and Hepatology, Veterans Affairs Palo Alto Health Care System and Stanford University School of Medicine, Palo Alto, California, USA
| | - Bryan G Sauer
- Division of Gastroenterology and Hepatology, University of Virginia, Charlottesville, Virginia, USA
| | - Anjana Pillai
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, University of Chicago Medical Center, University of Chicago, Chicago, Illinois, USA
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3
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Drucker Iarovich M, Hinzpeter R, Moloney BM, Hueniken K, Veit-Haibach P, Ortega C, Metser U. Comparison of 68Ga-DOTATATE Positron Emmited Tomography/Computed Tomography and Gadoxetic Acid-Enhanced Magnetic Resonance Imaging for the Detection of Liver Metastases from Well-Differentiated Neuroendocrine Tumors. Curr Oncol 2024; 31:521-534. [PMID: 38248121 PMCID: PMC10813973 DOI: 10.3390/curroncol31010036] [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] [Received: 12/04/2023] [Revised: 01/02/2024] [Accepted: 01/11/2024] [Indexed: 01/23/2024] Open
Abstract
This study aimed to compare the detection of neuroendocrine tumor liver metastases (NLMs) in hepatobiliary-specific contrast-enhanced MRI (pMR) versus 68Ga-DOTATATE PET/CT (DT-PET). This retrospective study cohort included 30 patients with well-differentiated neuroendocrine tumors who underwent both DT-PET and pMR. Two readers independently assessed NLMs count, SUVmax on DT-PET, and signal characteristics on pMR. A consensus review by two additional readers resolved discrepancies between the modalities. Results showed concordance between DT-PET and pMR NLM count in 14/30 patients (47%). pMR identified more NLMs in 12/30 patients (40%), of which 4 patients showed multiple deposits on pMR but only 0-1 lesions on DT-PET. DT-PET detected more in 4/30 patients (13%). Overall, pMR detected more metastases than DT-PET (p = 0.01). Excluding the four outliers, there was excellent agreement between the two methods (ICC: 0.945, 95%CI: 0.930, 0.958). Notably, pMR had a higher NLM detection rate than DT-PET, with correlations found between lesion size on pMR and DT-PET detectability, as well as diffusion restriction on pMR and SUVmax on DT-PET. In conclusion, in consecutive patients with well-differentiated NETs, the detection rate of NLM is higher with pMR than with DT-PET. However, when excluding patients whose tumors do not overexpress somatostatin receptors (13% of the cohort), high concordance in the detection of NLM is observed between DT PET and pMR.
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Affiliation(s)
- Moran Drucker Iarovich
- Joint Department of Medical Imaging, University Health Network, Sinai Health Systems, Women’s College Hospital, University of Toronto, Toronto, ON M5R 0A3, Canada; (M.D.I.)
| | - Ricarda Hinzpeter
- Joint Department of Medical Imaging, University Health Network, Sinai Health Systems, Women’s College Hospital, University of Toronto, Toronto, ON M5R 0A3, Canada; (M.D.I.)
| | - Brian Michael Moloney
- Joint Department of Medical Imaging, University Health Network, Sinai Health Systems, Women’s College Hospital, University of Toronto, Toronto, ON M5R 0A3, Canada; (M.D.I.)
| | - Katrina Hueniken
- Department of Biostatistics, University Health Network, Toronto, ON M5G 2C4, Canada
| | - Patrick Veit-Haibach
- Joint Department of Medical Imaging, University Health Network, Sinai Health Systems, Women’s College Hospital, University of Toronto, Toronto, ON M5R 0A3, Canada; (M.D.I.)
| | - Claudia Ortega
- Joint Department of Medical Imaging, University Health Network, Sinai Health Systems, Women’s College Hospital, University of Toronto, Toronto, ON M5R 0A3, Canada; (M.D.I.)
| | - Ur Metser
- Joint Department of Medical Imaging, University Health Network, Sinai Health Systems, Women’s College Hospital, University of Toronto, Toronto, ON M5R 0A3, Canada; (M.D.I.)
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4
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Kalb B. Invited Commentary: Body MRI—Widespread Adoption through Technologic Innovation. Radiographics 2022; 42:E210-E211. [DOI: 10.1148/rg.220160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Bobby Kalb
- From Radiology Limited, 677 N Wilmot Rd, Tucson, AZ 85711
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5
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Gatti M, Maino C, Tore D, Carisio A, Darvizeh F, Tricarico E, Inchingolo R, Ippolito D, Faletti R. Benign focal liver lesions: The role of magnetic resonance imaging. World J Hepatol 2022; 14:923-943. [PMID: 35721295 PMCID: PMC9157713 DOI: 10.4254/wjh.v14.i5.923] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 08/07/2021] [Accepted: 04/09/2022] [Indexed: 02/06/2023] Open
Abstract
Liver lesions are common findings in radiologists’ daily routine. They are a complex category of pathology that range from solitary benign lesions to primary liver cancer and liver metastases. Benign focal liver lesions can arise from different liver cell types: Epithelial (hepatocytes and biliary cells) and nonepithelial (mesenchymal cells). Liver magnetic resonance imaging (MRI) is a fundamental radiological method in these patients as it allows with its multiparametric approach optimal non-invasive tissue characterization. Furthermore, advanced liver MRI techniques such as diffusion-weighted imaging and hepatobiliary contrast agents have improved the detection of focal liver lesions and can be highly effective in differentiating pseudotumor from tumors, as well as benign from malignant lesions, and can also be used for differential diagnosis. Although histological examination can be useful in making a definitive diagnosis, MRI is an important modality in the diagnosis of liver lesions with a significant impact on patient care. This aim of this review is to provide a comprehensive overview of benign liver lesions on MRI.
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Affiliation(s)
- Marco Gatti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Cesare Maino
- Department of Diagnostic Radiology, Ospedale San Gerardo, Monza 20900, Italy
| | - Davide Tore
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Andrea Carisio
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Fatemeh Darvizeh
- School of Medicine, Vita-Salute San Raffaele University, Milan 20121, Japan
| | | | - Riccardo Inchingolo
- Interventional Radiology Unit, “F. Miulli” Regional General Hospital, Acquaviva delle Fonti 70021, Italy
| | - Davide Ippolito
- Department of Diagnostic Radiology, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
- Department of Diagnostic Radiology, Ospedale San Gerardo, Monza 20900, Italy
| | - Riccardo Faletti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
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6
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Freitas PS, Janicas C, Veiga J, Matos AP, Herédia V, Ramalho M. Imaging evaluation of the liver in oncology patients: A comparison of techniques. World J Hepatol 2021; 13:1936-1955. [PMID: 35069999 PMCID: PMC8727197 DOI: 10.4254/wjh.v13.i12.1936] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 05/26/2021] [Accepted: 11/28/2021] [Indexed: 02/06/2023] Open
Abstract
The liver is commonly affected by metastatic disease. Therefore, it is essential to detect and characterize liver metastases, assuming that patient management and prognosis rely on it. The imaging techniques that allow non-invasive assessment of liver metastases include ultrasonography, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET)/CT, and PET/MRI. In this paper, we review the imaging findings of liver metastases, focusing on each imaging modality’s advantages and potential limitations. We also assess the importance of different imaging modalities for the management, follow-up, and therapy response of liver metastases. To date, both CT and MRI are the most appropriate imaging methods for initial lesion detection, follow-up, and assessment of treatment response. Multiparametric MRI is frequently used as a problem-solving technique for liver lesions and has evolved substantially over the past decade, including hardware and software developments and specific intravenous contrast agents. Several studies have shown that MRI performs better in small-sized metastases and moderate to severe liver steatosis cases. Although state-of-the-art MRI shows a greater sensitivity for detecting and characterizing liver metastases, CT remains the chosen method. We also present the controversial subject of the "economic implication" to use CT over MRI.
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Affiliation(s)
- Patrícia S Freitas
- Department of Radiology, Centro Hospitalar Universitário de Lisboa Central, Lisbon 1150-199, Portugal
| | - Catarina Janicas
- Department of Radiology, Centro Hospitalar de Lisboa Ocidental, Lisbon 1449-005, Portugal
| | - José Veiga
- Department of Radiology, Centro Hospitalar Universitário de Lisboa Central, Lisbon 1150-199, Portugal
| | - António P Matos
- Department of Radiology, Hospital Garcia de Orta, EPE, Almada 2805-267, Portugal
- Department of Radiology, Hospital CUF Tejo, Lisbon 1350-352, Portugal
| | - Vasco Herédia
- Department of Radiology, Hospital Garcia de Orta, EPE, Almada 2805-267, Portugal
- Department of Radiology, Hospital Espírito Santo de Évora-EPE, Évora 7000-811, Portugal
| | - Miguel Ramalho
- Department of Radiology, Hospital Garcia de Orta, EPE, Almada 2805-267, Portugal
- Department of Radiology, Hospital da Luz, Lisbon 1500-650, Portugal
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Vernuccio F, Cannella R, Bartolotta TV, Galia M, Tang A, Brancatelli G. Advances in liver US, CT, and MRI: moving toward the future. Eur Radiol Exp 2021; 5:52. [PMID: 34873633 PMCID: PMC8648935 DOI: 10.1186/s41747-021-00250-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 10/18/2021] [Indexed: 02/06/2023] Open
Abstract
Over the past two decades, the epidemiology of chronic liver disease has changed with an increase in the prevalence of nonalcoholic fatty liver disease in parallel to the advent of curative treatments for hepatitis C. Recent developments provided new tools for diagnosis and monitoring of liver diseases based on ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI), as applied for assessing steatosis, fibrosis, and focal lesions. This narrative review aims to discuss the emerging approaches for qualitative and quantitative liver imaging, focusing on those expected to become adopted in clinical practice in the next 5 to 10 years. While radiomics is an emerging tool for many of these applications, dedicated techniques have been investigated for US (controlled attenuation parameter, backscatter coefficient, elastography methods such as point shear wave elastography [pSWE] and transient elastography [TE], novel Doppler techniques, and three-dimensional contrast-enhanced ultrasound [3D-CEUS]), CT (dual-energy, spectral photon counting, extracellular volume fraction, perfusion, and surface nodularity), and MRI (proton density fat fraction [PDFF], elastography [MRE], contrast enhancement index, relative enhancement, T1 mapping on the hepatobiliary phase, perfusion). Concurrently, the advent of abbreviated MRI protocols will help fulfill an increasing number of examination requests in an era of healthcare resource constraints.
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Affiliation(s)
- Federica Vernuccio
- Section of Radiology- Department of Biomedicine, Neurosciences and Advanced Diagnostics (BiND), University Hospital "Paolo Giaccone", Via del Vespro 129, 90127, Palermo, Italy.
| | - Roberto Cannella
- Section of Radiology- Department of Biomedicine, Neurosciences and Advanced Diagnostics (BiND), University Hospital "Paolo Giaccone", Via del Vespro 129, 90127, Palermo, Italy.,Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University Hospital of Palermo, Via del Vespro 129, 90127, Palermo, Italy.,Service de radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France
| | - Tommaso Vincenzo Bartolotta
- Section of Radiology- Department of Biomedicine, Neurosciences and Advanced Diagnostics (BiND), University Hospital "Paolo Giaccone", Via del Vespro 129, 90127, Palermo, Italy.,Department of Radiology, Fondazione Istituto Giuseppe Giglio Ct.da Pietrapollastra, Via Pisciotto, 90015, Cefalù (Palermo), Italy
| | - Massimo Galia
- Section of Radiology- Department of Biomedicine, Neurosciences and Advanced Diagnostics (BiND), University Hospital "Paolo Giaccone", Via del Vespro 129, 90127, Palermo, Italy
| | - An Tang
- Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Quebec, Canada.,Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Quebec, Canada.,Department of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montréal, Montréal, Canada
| | - Giuseppe Brancatelli
- Section of Radiology- Department of Biomedicine, Neurosciences and Advanced Diagnostics (BiND), University Hospital "Paolo Giaccone", Via del Vespro 129, 90127, Palermo, Italy
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8
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The role of lesion hypointensity on gadobenate dimeglumine-enhanced hepatobiliary phase MRI as an additional major imaging feature for HCC classification using LI-RADS v2018 criteria. Eur Radiol 2021; 31:7715-7724. [PMID: 33782766 DOI: 10.1007/s00330-021-07807-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Revised: 01/14/2021] [Accepted: 02/17/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES To determine the value of lesion hypointensity in the hepatobiliary phase (HBP) on gadobenate dimeglumine-enhanced MRI as an additional major imaging feature for diagnosis of hepatocellular carcinoma (HCC) using LI-RADS v2018 criteria. METHODS Between March 2016 and August 2018, 235 patients with 250 hepatic nodules at high risk of HCC underwent gadobenate dimeglumine-enhanced MRI. Two radiologists independently evaluated the imaging features and classified the nodules based on LI-RADS v2018 criteria, and their consensus data were used to calculate the diagnostic performance of LI-RADS categories. Two modified LI-RADS definitions were as follows: (1) LI-RADS-m1: HBP hypointensity as an additional major feature; (2) LI-RADS-m2: HBP hypointensity as an alternative to "enhancing capsule" as an additional major feature. The diagnostic performance of LR-5 categories was compared using McNemar's test. RESULTS The sensitivity and specificity for LR-5 classification using original LI-RADS v2018 criteria were 78.1% and 96.3%, respectively. Significantly improved sensitivity (82.7%; p = 0.004) with unchanged specificity (96.3%; p = 1.00) was seen for LR-5 classification using LI-RADS-m1. Similar sensitivity and specificity (82.7% and 96.3%, respectively) were also seen using LI-RADS-m2. Significantly improved sensitivity (79.5% vs. 64.0%; p = 0.031) with unchanged specificity (96.2% vs. 96.2%, p = 1.00) was seen using both LI-RADS-m1 and LI-RADS-m2 compared to the original LI-RADS v2018 for 39 HCC nodules measuring 10-19 mm. CONCLUSIONS Lesion hypointensity on gadobenate dimeglumine-enhanced HBP MRI may improve sensitivity for LR-5 classification beyond that achievable using conventional LI-RADS v2018 criteria. Lesion hypointensity may prove a suitable alternative imaging feature to enhancing capsule for accurate LR-5 classification. KEY POINTS • Including lesion hypointensity in the HBP as an additional major feature improved sensitivity for LR-5 classification on gadobenate dimeglumine-enhanced MRI. • Lesion hypointensity in the HBP can replace "enhancing capsule" as an additional major feature for LR-5 classification without impairing specificity.
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Tsili AC, Alexiou G, Naka C, Argyropoulou MI. Imaging of colorectal cancer liver metastases using contrast-enhanced US, multidetector CT, MRI, and FDG PET/CT: a meta-analysis. Acta Radiol 2021; 62:302-312. [PMID: 32506935 DOI: 10.1177/0284185120925481] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Imaging of colorectal cancer liver metastases (CRCLMs) has improved in recent years. Therefore, the role of current imaging techniques needs to be defined. PURPOSE To assess the diagnostic performance of contrast-enhanced ultrasound (CEUS), multidetector computed tomography (MDCT), magnetic resonance imaging (MRI), and fluorodeoxyglucose (FDG) positron emission tomography (PET)/CT in the detection of CRCLMs. MATERIAL AND METHODS PubMed database was searched for articles published during 2000-2019. Inclusion criteria were as follows: diagnosis/suspicion of CRCLMs; CEUS, MDCT, MRI, or FDG PET/CT performed for the detection of CRCLMs; prospective study design; histopathologic examination, intraoperative findings and/or follow-up used as reference standard; and data for calculating sensitivity and specificity reported. RESULTS Twelve prospective studies were assessed, including 536 patients with CRCLMs (n = 1335). On a per-lesion basis, the sensitivity of CEUS, MDCT, MRI, and FDG PET/CT was 86%, 84%, 89%, and 62%, respectively. MRI had the highest sensitivity on a per-lesion analysis. CEUS and MDCT had comparable sensitivities. On a per-patient basis, the sensitivity and specificity of CEUS, MDCT, MRI, and FDG PET/CT was 80% and 97%, 87% and 95%, 87% and 94%, and 96% and 97%, respectively. The per-patient sensitivities for MRI and MDCT were similar. The sensitivity for MRI was higher than that for CEUS, MDCT, and FDG PET/CT for lesions <10 mm and lesions at least 10 mm in size. Hepatospecific contrast agent did not improve diagnostic performances. CONCLUSION MRI is the preferred imaging modality for evaluating CRCLMs. Both MDCT and CEUS can be used as alternatives.
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Affiliation(s)
- Athina C Tsili
- Department of Clinical Radiology, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - George Alexiou
- Department of Neurosurgery, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - Christina Naka
- Department of Clinical Radiology, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - Maria I Argyropoulou
- Department of Clinical Radiology, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
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Renzulli M, Clemente A, Ierardi AM, Pettinari I, Tovoli F, Brocchi S, Peta G, Cappabianca S, Carrafiello G, Golfieri R. Imaging of Colorectal Liver Metastases: New Developments and Pending Issues. Cancers (Basel) 2020; 12:E151. [PMID: 31936319 PMCID: PMC7017094 DOI: 10.3390/cancers12010151] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Revised: 12/31/2019] [Accepted: 01/06/2020] [Indexed: 02/07/2023] Open
Abstract
Computed tomography (CT), magnetic resonance imaging (MRI), and 18-fluorideoxyglucose positron emission tomography (18FDG-PET) are historically the most accurate imaging techniques for diagnosing liver metastases. Recently, the combination of diffusion-weighted imaging and hepatospecific contrast media, such as gadoxetic acid in MRI, have been demonstrated to have the highest diagnostic accuracy, sensitivity, and specificity for detecting liver metastases. Various recent meta-analyses have confirmed the diagnostic superiority of this combination (diffusion-weighted imaging and gadoxetic acid-enhanced MRI), especially in terms of per lesion sensitivity, as compared with CT and 18FDG-PET, even for smaller lesions (≤1 cm). However, none of the oncological guidelines have suggested the use of MRI as a first-line technique for liver metastasis detection during the staging process of oncological patients. This review analyzes the history of the principal imaging techniques for the diagnosis of liver metastases, in particular of colorectal liver metastases, focusing on the most accurate method (diffusion-weighted imaging combined with gadoxetic acid-enhanced MRI), possible reasons for the lack of its diffusion in the guidelines, and possible future scenarios.
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Affiliation(s)
- Matteo Renzulli
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (I.P.); (S.B.); (G.P.); (R.G.)
| | - Alfredo Clemente
- Radiology and Radiotherapy Unit, Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy; (A.C.); (S.C.)
| | - Anna Maria Ierardi
- Diagnostic and Interventional Radiology, ASST Santi Paolo e Carlo, San Paolo Hospital, 20142 Milan, Italy;
| | - Irene Pettinari
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (I.P.); (S.B.); (G.P.); (R.G.)
| | - Francesco Tovoli
- Department of Specialised, Experimental and Diagnostic Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy;
| | - Stefano Brocchi
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (I.P.); (S.B.); (G.P.); (R.G.)
| | - Giuliano Peta
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (I.P.); (S.B.); (G.P.); (R.G.)
| | - Salvatore Cappabianca
- Radiology and Radiotherapy Unit, Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy; (A.C.); (S.C.)
| | - Gianpaolo Carrafiello
- Unit of Radiology, IRCCS Cà Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy;
| | - Rita Golfieri
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (I.P.); (S.B.); (G.P.); (R.G.)
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11
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Wei H, Decker K, Nguyen H, Cao S, Tsai TY, Dianne Guy C, Bashir M, Liu C. Imaging diamagnetic susceptibility of collagen in hepatic fibrosis using susceptibility tensor imaging. Magn Reson Med 2019; 83:1322-1330. [PMID: 31633237 DOI: 10.1002/mrm.27995] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Revised: 08/22/2019] [Accepted: 08/24/2019] [Indexed: 12/16/2022]
Abstract
PURPOSE To characterize the magnetic susceptibility changes of liver fibrosis using susceptibility tensor imaging. METHODS Liver biopsy tissue samples of patients with liver fibrosis were obtained. Three-dimensional gradient-echo and diffusion-weighted images were acquired at 9.4 T. Susceptibility tensors of the samples were calculated using the gradient-echo phase signal acquired at 12 different orientations relative to the B0 field. Susceptibility anisotropy of the liver collagen fibers was quantified and compared with diffusion anisotropy, measured by DTI. For validation, a comparison was made to histology including hematoxylin and eosin staining, iron staining, and Masson's trichrome staining. RESULTS Areas with strong diamagnetic susceptibility were observed in the tissue samples forming fibrous patterns. This diamagnetic susceptibility was highly anisotropic. Both the mean magnetic susceptibility and susceptibility anisotropy of collagen fibers exhibited a strong contrast against the surrounding nonfibrotic tissues. The same regions also showed an elevated diffusion anisotropy but with much lower tissue contrast. Masson's trichrome staining identified concentrated collagens in the fibrous regions with high susceptibility anisotropy, and a linear correlation was found between the susceptibility anisotropy and the histology-based staging. CONCLUSION Diamagnetic susceptibility indicates the presence of collagen in the fibrotic liver tissues. Mapping magnetic susceptibility anisotropy may serve as a potential marker to quantify collagen fiber changes in patients with liver fibrosis.
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Affiliation(s)
- Hongjiang Wei
- Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.,Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California
| | - Kyle Decker
- Center for In Vivo Microscopy, Duke University, Durham, North Carolina
| | - Hien Nguyen
- Department of Pathology, Duke University, Durham, North Carolina
| | - Steven Cao
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California
| | - Tsung-Yuan Tsai
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | | | - Mustafa Bashir
- Department of Radiology, Duke University, Durham, North Carolina.,Center for Advanced Magnetic Resonance Development, Duke University, Durham, North Carolina.,Division of Gastroenterology, Department of Medicine, Duke University, Durham, North Carolina
| | - Chunlei Liu
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California.,Helen Wills Neuroscience Institute, University of California, Berkeley, California
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