1
|
Pinto DS, Clode H, Madrazo BL, Paes FM, Alessandrino F. Imaging review of spontaneous renal hemorrhage. Emerg Radiol 2024; 31:515-528. [PMID: 38703272 DOI: 10.1007/s10140-024-02233-1] [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: 01/07/2024] [Accepted: 04/18/2024] [Indexed: 05/06/2024]
Abstract
Spontaneous renal hemorrhage (SRH) is a diagnostic challenge and a significant cause of morbidity, and sometimes mortality. Early identification is essential to institute lifesaving and reno-protective interventions. In this review, we classify spontaneous renal hemorrhage by location, presentation and etiology. We also discuss the diagnostic approach to renal hemorrhage and optimum imaging modalities to arrive at the diagnosis. Finally, we review strategies to avoid missing a diagnosis of SRH and discuss the pitfalls of imaging in the presence of renal hemorrhage.
Collapse
Affiliation(s)
- Denver S Pinto
- Jackson Memorial Hospital, University of Miami, Miami, USA.
| | - Hannah Clode
- Jackson Memorial Hospital, University of Miami, Miami, USA
- Department of Radiology, School of Medicine, University of Virginia, Charlottesville, VA, USA
| | | | - Fabio M Paes
- Miller School of Medicine, Jackson Memorial Hospital - Ryder Trauma Center, University of Miami, Miami, FL, USA
| | | |
Collapse
|
2
|
Fávero Prietto Dos Santos J, Ghezzi CLA, Pedrollo IM, Cruz ÍR, Orozco OFG, Zapparoli M, Schuch A, Muglia VF. Practical Guide to VI-RADS: MRI Protocols, Lesion Characterization, and Pitfalls. Radiographics 2024; 44:e230149. [PMID: 38421912 DOI: 10.1148/rg.230149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Urothelial carcinoma is the most common type of bladder cancer (BC), accounting for approximately 90% of all cases. Evaluating the depth of tumor invasion in the bladder wall (tumor staging) is essential for determining the treatment and prognosis in patients with BC. Neoadjuvant therapy followed by radical cystectomy is the most common treatment of localized muscle-invasive BC (MIBC). Therefore, it is vital to differentiate non-MIBC from MIBC. Transurethral resection of bladder tumor (TURBT) is the reference standard to determine the extent of tumor invasion into the bladder wall through tissue sampling. However, this diagnostic and therapeutic method may not adequately sample the muscularis propria, leading to a higher risk of residual disease, early recurrence, and tumor understaging in approximately 50% of patients during the initial TURBT. Multiparametric MRI can overcome some of the limitations of TURBT when evaluating BC, particularly regarding tumor staging. In this context, the Vesical Imaging Reporting and Data System (VI-RADS) classification was developed to establish standards for bladder multiparametric MRI and interpretation. It uses a 5-point scale to assess the likelihood of detrusor muscle invasion. T2-weighted MR images are particularly useful as an initial guide, especially for categories 1-3, while the presence of muscular invasion is determined with diffusion-weighted and dynamic contrast-enhanced sequences. Diffusion-weighted imaging takes precedence as the dominant method when optimal image quality is achieved. The presence of a stalk or a thickened inner layer and no evidence of interruption of the signal intensity of the muscular layer are central for predicting a low likelihood of muscle invasion. ©RSNA, 2024 Test Your Knowledge questions for this article are available in the supplemental material. See the invited commentary by Hoegger in this issue.
Collapse
Affiliation(s)
- Jônatas Fávero Prietto Dos Santos
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| | - Caroline Lorenzoni Almeida Ghezzi
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| | - Ivan Morzoletto Pedrollo
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| | - Ítalo Ribeiro Cruz
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| | - Oscar Fernando Ghattas Orozco
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| | - Maurício Zapparoli
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| | - Alice Schuch
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| | - Valdair Francisco Muglia
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| |
Collapse
|
3
|
Elhassan YS, Ronchi CL, Wijewickrama P, Baldeweg SE. Approach to the Patient With Adrenal Hemorrhage. J Clin Endocrinol Metab 2023; 108:995-1006. [PMID: 36404284 PMCID: PMC9999363 DOI: 10.1210/clinem/dgac672] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 11/22/2022]
Abstract
Adrenal hemorrhage is an uncommon, underrecognized condition that can be encountered in several clinical contexts. Diagnosing adrenal hemorrhage is challenging due to its nonspecific clinical features. Therefore, it remains a diagnosis that is made serendipitously on imaging of acutely unwell patients rather than with prospective clinical suspicion. Adrenal hemorrhage can follow abdominal trauma or appear on a background of predisposing conditions such as adrenal tumors, sepsis, or coagulopathy. Adrenal hemorrhage is also increasingly reported in patients with COVID-19 infection and in the context of vaccine-induced immune thrombocytopenia and thrombosis. Unexplained abdominal pain with hemodynamic instability in a patient with a predisposing condition should alert the physician to the possibility of adrenal hemorrhage. Bilateral adrenal hemorrhage can lead to adrenal insufficiency and potentially fatal adrenal crisis without timely recognition and treatment. In this article, we highlight the clinical circumstances that are associated with higher risk of adrenal hemorrhage, encouraging clinicians to prospectively consider the diagnosis, and we share a diagnostic and management strategy.
Collapse
Affiliation(s)
- Yasir S Elhassan
- Correspondence: Yasir Elhassan, MBBS, MRCP, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom.
| | - Cristina L Ronchi
- Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK
- Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham B15 2TT, UK
- Department of Endocrinology, Queen Elizabeth Hospital Birmingham, Birmingham B15 2WB, UK
- Division of Endocrinology and Diabetes, University Hospital University Würzburg, Würzburg 97080, Germany
| | - Piyumi Wijewickrama
- Department of Diabetes and Endocrinology, University College London Hospital NHS Foundation Trust, London NW1 2BU, UK
| | - Stephanie E Baldeweg
- Department of Diabetes and Endocrinology, University College London Hospital NHS Foundation Trust, London NW1 2BU, UK
- Centre for Obesity and Metabolism, Department of Experimental and Translational Medicine, Division of Medicine, University College London, London WC1E 6BT, UK
| |
Collapse
|
4
|
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
| |
Collapse
|
5
|
El-Assaly H, Abdallah MFH, Mohamed WM, Youssef MI. Additive role of dynamic subtraction MRI in assessment of unresolved HCC post-radiofrequency ablation. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00636-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
Abstract
Background
Malignant Hepatocellular carcinoma (HCC) is one amongst the foremost widespread cancers within the world. Radiofrequency ablation (RFA) is that the most generally used substitute tool for hepatic carcinoma treatment. Monitoring tumoral response to loco-regional therapy is a vital mission in oncological imaging. Dynamic contrast enhanced MR and recently added subtraction imaging technique improve assessment of the ablated hepatic focal lesions. The aim of this study is that the evaluation of the role of Subtraction MRI within the detection of recurrent or residual tumoral viability after RF ablation.
Results
Fifty patients were conducted during this retrospective study, all underwent RFA for 76 hepatic focal lesions and underwent Dynamic MRI study 1 month after ablation. Subtraction imaging was then performed. MRI images were interpreted by two readers who are experienced in hepatic imaging. The primary reader interpreted the standard Dynamic MRI and was blinded to the subtraction sequences; the second reader interpreted both Dynamic and Subtraction MRI images. the primary reader detected 49 resolved cases by dynamic MRI, while the second reader detected residual activity in 6 cases out of 49 via subtraction dynamic MRI (added value). The second reader agreed with first reader in 43 cases (agreement).The first reader detected 27 residual cases by dynamic MRI. The second reader disagreed with first reader in 11 cases appeared resolved out of 27 via subtraction dynamic MRI (added value). The second reader agreed with first reader in residual activity in 16 cases (agreement).The statistical analysis of those results revealed a big additive value of the subtraction imaging to the dynamic MRI (P < 0.001) with moderate degree of agreement between the 2 diagnostic tools (Kappa value = 0.491). This implies that Subtraction MRI significantly improves the reader confidence level within the assessment of treatment response following loco-regional therapies for HCC.
Conclusion
Dynamic Subtraction MRI is a powerful detector for real enhancement in treated HCC lesions after radiofrequency ablation and hence increasing the degree of readers’ confidence and accuracy of treated lesions in follow-up studies. So it's recommended to feature this powerful tool as a routine to any or all Dynamic MRI studies of the Liver.
Collapse
|
6
|
Gabr AE, Mikhael HSW, El-Maadawy SM. Comparison between subtraction and dynamic MRI in assessing treatment response following radiofrequency ablation in patients with hepatocellular carcinoma. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00669-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Hepatocellular carcinoma (HCC) is one of the most prevalent cancers worldwide, and if left untreated, one of the most lethal. Ablative therapies including radiofrequency ablation (RFA) play increasingly important role for patients with liver tumors who are not surgical candidates. Monitoring treatment response following ablation is crucial in oncologic imaging. Dynamic contrast-enhanced MRI can assess changes in tumor vascularity and perfusion while subtraction imaging is useful in differentiating residual tumor from post-ablation parenchymal changes. The aim of this study is to compare the role of subtraction MRI and conventional dynamic MRI in assessing treatment response following RFA in patients with HCC.
Results
The study included 48 patients with 62 HCC lesions who underwent RFA from May to October 2020, followed by MRI evaluation with 1-month interval. Two readers with experience in hepatic imaging interpreted the dynamic and subtraction dynamic MRI. The hepatic focal lesions were classified into “well-ablated” and “residual” groups according to MRI findings, and the agreement between the two readers was evaluated. Using dynamic MRI, the first reader reported 38 well-ablated lesions, and the second reader agreed in 34 of them (89.5%). Residual disease was reported by the first reader in 22 lesions and the second reader disagreed in 10 of them (45.5%) where complete ablation was reported. Thirty-eight out 44 well-ablated lesions (86.4%) showed high signal intensity on non-enhanced T1 images, and 28 lesion (63.6%) showed intermediate T2 signal. All the mis-matched readings occurred in lesions with a high signal intensity in pre-contrast T1 images. Moderate agreement between the two readers was found with Kappa value of 0.467. Significant additive value of subtraction technique to dynamic MRI was detected with a P value of 0.009. No major complications recorded except for a single case of major portal vein branch occlusion.
Conclusion
MRI is a powerful imaging tool in assessing tumor viability and complications after RFA in patients with HCC. Dynamic MRI study is the gold standard in detecting recurrent lesions while subtraction technique is crucial in differentiating between arterial enhancement due to residual disease and normal hyperintense T1 signal of the ablation zone.
Collapse
|
7
|
Virtual non-contrast enhanced magnetic resonance imaging (VNC-MRI). Magn Reson Imaging 2021; 81:67-74. [PMID: 34119648 DOI: 10.1016/j.mri.2021.06.004] [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: 12/07/2020] [Revised: 06/08/2021] [Accepted: 06/08/2021] [Indexed: 11/22/2022]
Abstract
PURPOSE Application of contrast agents (CA) is widely used in various clinical fields like oncology. Similar to approaches used in computed tomography, virtual non-contrast enhanced (VNC) images can be generated with the goal to supersede true non-contrast enhanced (TNC) images. METHODS In MRI a T1-mapping sequence with variable flip angle (VFA) was used to acquire two images with different image contrast at the same time. To generate VNC images postprocessing based on this technique, an image-space based material decomposition algorithm was used. The inverse of a sensitivity matrix, consisting of intensity values for both VFA images and every material respectively, was used to determine the three material fractions and to calculate the final VNC images. The technique was tested on a 3 T scanner using a phantom and two in-vivo scans of patients with glioma and glioblastoma respectively. In all these cases the required six values were manually derived from the respective material or the background from both VFA images. RESULTS Postprocessing results of the phantom show that the chosen materials can be separated and visualized individually and unwanted materials can be suppressed. In the VNC images of in-vivo scans the signal of the CA is removed successfully. CONCLUSION It was shown that VNC images that match the visual impression of the TNC images can be generated, resulting in possibly reduced scan times and avoided mismatches due to movement of the patient.
Collapse
|
8
|
Diagnostic Imaging in Renal Tumors. KIDNEY CANCER 2020. [DOI: 10.1007/978-3-030-28333-9_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
|
9
|
The value of dynamic subtraction MRI technique in the assessment of treatment response of hepatocellular carcinoma to transcatheter arterial chemoembolization. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2019. [DOI: 10.1186/s43055-019-0024-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
|
10
|
Lee HJ. Usefulness of subtraction pelvic magnetic resonance imaging for detection of ovarian endometriosis. Yeungnam Univ J Med 2019; 37:90-97. [PMID: 31661751 PMCID: PMC7142026 DOI: 10.12701/yujm.2019.00353] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 09/26/2019] [Indexed: 12/30/2022] Open
Abstract
Background To minimize damage to the ovarian reserve, it is necessary to evaluate the follicular density in the ovarian tissue surrounding endometriosis on preoperative imaging. The purpose of the present study was to evaluate the usefulness of subtraction pelvic magnetic resonance imaging (MRI) to detect ovarian reserve. Methods A subtracted T1-weighted image (subT1WI) was obtained by subtracting unenhanced T1WI from contrast-enhanced T1WI (ceT1WI) with similar parameters in 22 patients with ovarian endometriosis. The signal-to-noise ratio (SNR) in ovarian endometriosis, which was classified into the high signal intensity and iso-to-low signal intensity groups on the T2-weighted image, was compared to that in normal ovarian tissue. To evaluate the effect of contrast enhancement, a standardization map was obtained by dividing subT1WI by ceT1WI. Results On visual assessment of 22 patients with ovarian endometriosis, 16 patients showed a high signal intensity, and 6 patients showed an iso-to-low signal intensity on T1WI. Although SNR in endometriosis with a high signal intensity was higher than that with an iso-to-low signal intensity, there was no difference in SNR after the subtraction (13.72±77.55 vs. 63.03±43.90, p=0.126). The area of the affected ovary was smaller than that of the normal ovary (121.10±22.48 vs. 380.51±75.87 mm2, p=0.002), but the mean number of pixels in the viable remaining tissue of the affected ovary was similar to that of the normal ovary (0.53±0.09 vs. 0.47±0.09, p=0.682). Conclusion The subtraction technique used with pelvic MRI could reveal the extent of endometrial invasion of the normal ovarian tissue and viable remnant ovarian tissue.
Collapse
Affiliation(s)
- Hyun Jung Lee
- Department of Obstetrics and Gynecology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Korea
| |
Collapse
|
11
|
Zhou Y, Sun Y, Yang W, Lu Z, Huang M, Lu L, Zhang Y, Feng Y, Chen W, Feng Q. Correlation-Weighted Sparse Representation for Robust Liver DCE-MRI Decomposition Registration. IEEE TRANSACTIONS ON MEDICAL IMAGING 2019; 38:2352-2363. [PMID: 30908198 DOI: 10.1109/tmi.2019.2906493] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Conducting an accurate motion correction of liver dynamic contrast-enhanced magnetic resonance (DCE-MR) imaging remains challenging because of intensity variations caused by contrast agents. Such variations lead to the failure of the traditional intensity-based registration method. To address this problem, we propose a correlation-weighted sparse representation framework to separate the contrast agent from original liver DCE-MR images. This framework allows the robust registration of motion components over time without intensity variances. Existing sparse coding techniques recover a 3D image containing only contrast agents (named contrast enhancement component) from a manually labeled dictionary, whose column has the same size with the original 3D volume (3D-t mode). The high dimension of the recovery target (3D volume) and the indistinguishability between the unenhanced and enhanced images make accurate coding difficult. In this paper, we predefine an ideal time-intensity curve containing only contrast agents (named contrast agent curve) and recover it from the transpose dictionary (t-3D mode), whose column has been updated into the original time-intensity curves. The low dimension of the target (1D curve) and the significant intergroup difference between contrast agent curves and non-contrast agent curves can estimate a series of pure contrast agent curves. A "correlation-weighted" constraint is introduced for the selection of a coding subset with more contrast agent curves, leading to an efficient and accurate sparse recovery process. Then, the contrast enhancement component can be estimated by the solved sparse coefficients' map and the ideal curve and subtracted from the original DCE-MRI. Finally, we register the de-enhanced images and apply the obtained deformation fields for the original DCE-MRI to achieve the goal of motion correction. We conduct the experiments on both simulated and real liver DCE-MRI data. Compared with other state-of-the-art DCE-MRI registration methods, the experimental results show that our method achieves a better registration performance with less computational efficiency.
Collapse
|
12
|
Hubbard C, Kocher MR, Hardie AD. The use of MRI digital subtraction technique in the diagnosis of traumatic pancreatic injury. Radiol Case Rep 2019; 14:639-645. [PMID: 30923591 PMCID: PMC6424095 DOI: 10.1016/j.radcr.2019.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 02/28/2019] [Accepted: 03/02/2019] [Indexed: 12/26/2022] Open
Abstract
Traumatic pancreatic injuries are relatively uncommon in the setting of trauma, however, early detection of these injuries can alter patient management and overall prognosis. Computed tomography is the first line imaging modality in major trauma. Because failure to recognize pancreatic or main pancreatic duct injuries can lead to mismanagement, magnetic resonance imaging (MRI) can be a useful adjunct study in appropriate patients. In this report, we present a case in which MRI was used to diagnose traumatic avulsion and devascularization of the entire pancreas in a patient following a motor vehicle accident and we also include a review of the literature on this topic. It is our conclusion from this case report that MRI is the most effective imaging modality—specifically the subtraction post processing sequences—to evaluate severe pancreatic injury.
Collapse
Affiliation(s)
- Caroline Hubbard
- Department of Radiology and Radiological Sciences, Medical University of South Carolina, 171 Ashley Avenue, Charleston, SC 29426, USA
| | - Madison R Kocher
- Department of Radiology and Radiological Sciences, Medical University of South Carolina, 171 Ashley Avenue, Charleston, SC 29426, USA
| | - Andrew D Hardie
- Department of Radiology and Radiological Sciences, Medical University of South Carolina, 171 Ashley Avenue, Charleston, SC 29426, USA
| |
Collapse
|
13
|
Raptis CA, McWilliams SR, Ratkowski KL, Broncano J, Green DB, Bhalla S. Mediastinal and Pleural MR Imaging: Practical Approach for Daily Practice. Radiographics 2018; 38:37-55. [PMID: 29320326 DOI: 10.1148/rg.2018170091] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Radiologists in any practice setting should be prepared to use thoracic magnetic resonance (MR) imaging for noncardiac and nonangiographic applications. This begins with understanding the sequence building blocks that can be used to design effective thoracic MR imaging protocols. In most instances, the sequences used in thoracic MR imaging are adapted from protocols used elsewhere in the body. Some modifications, including the addition of electrocardiographic gating or respiratory triggering, may be necessary for certain applications. Once protocols are in place, recognition of clinical scenarios in which thoracic MR imaging can provide value beyond other imaging modalities is essential. MR imaging is particularly beneficial in evaluating for benign features in indeterminate lesions. In lesions that are suspected to be composed of fluid, including mediastinal cysts and lesions composed of dilated lymphatics, MR imaging can confirm the presence of fluid and absence of suspicious enhancement. It can also be used to evaluate for intravoxel lipid, a finding seen in benign residual thymic tissue and thymic hyperplasia. Because of its excellent contrast resolution and potential for subtraction images, MR imaging can interrogate local treatment sites for the development of recurrent tumor on a background of post-treatment changes. In addition to characterization of lesions, thoracic MR imaging can be useful in surgical and treatment planning. By identifying nodular sites of enhancement or areas of diffusion restriction within cystic or necrotic lesions, MR imaging can be used to direct sites for biopsy. MR imaging can help evaluate for local tumor invasion with the application of "real-time" cine sequences to determine whether a lesion is adherent to an adjacent structure or surface. Finally, MR imaging is the modality of choice for imaging potential tumor thrombus. By understanding the role of MR imaging in these clinical scenarios, radiologists can increase the use of thoracic MR imaging for the benefit of improved decision making in the care of patients. ©RSNA, 2018.
Collapse
Affiliation(s)
- Constantine A Raptis
- From the Mallinckrodt Institute of Radiology, 510 S. Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110 (C.A.R., S.R.M., K.L.R., S.B.); Department of Radiology, Hospital Cruz Roja, Córdoba, Spain (J.B.); and Department of Radiology, Weill Medical College, New York-Presbyterian Hospital, New York, NY (D.B.G.)
| | - Sebastian R McWilliams
- From the Mallinckrodt Institute of Radiology, 510 S. Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110 (C.A.R., S.R.M., K.L.R., S.B.); Department of Radiology, Hospital Cruz Roja, Córdoba, Spain (J.B.); and Department of Radiology, Weill Medical College, New York-Presbyterian Hospital, New York, NY (D.B.G.)
| | - Kristy L Ratkowski
- From the Mallinckrodt Institute of Radiology, 510 S. Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110 (C.A.R., S.R.M., K.L.R., S.B.); Department of Radiology, Hospital Cruz Roja, Córdoba, Spain (J.B.); and Department of Radiology, Weill Medical College, New York-Presbyterian Hospital, New York, NY (D.B.G.)
| | - Jordi Broncano
- From the Mallinckrodt Institute of Radiology, 510 S. Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110 (C.A.R., S.R.M., K.L.R., S.B.); Department of Radiology, Hospital Cruz Roja, Córdoba, Spain (J.B.); and Department of Radiology, Weill Medical College, New York-Presbyterian Hospital, New York, NY (D.B.G.)
| | - Daniel B Green
- From the Mallinckrodt Institute of Radiology, 510 S. Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110 (C.A.R., S.R.M., K.L.R., S.B.); Department of Radiology, Hospital Cruz Roja, Córdoba, Spain (J.B.); and Department of Radiology, Weill Medical College, New York-Presbyterian Hospital, New York, NY (D.B.G.)
| | - Sanjeev Bhalla
- From the Mallinckrodt Institute of Radiology, 510 S. Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110 (C.A.R., S.R.M., K.L.R., S.B.); Department of Radiology, Hospital Cruz Roja, Córdoba, Spain (J.B.); and Department of Radiology, Weill Medical College, New York-Presbyterian Hospital, New York, NY (D.B.G.)
| |
Collapse
|
14
|
Gandhi D, Garg G, Solanki S, Nepal P. Deep infiltrating endometriosis: role of magnetic resonance subtraction imaging. Quant Imaging Med Surg 2018; 8:722-723. [PMID: 30211039 DOI: 10.21037/qims.2018.08.06] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
| | - Gunjan Garg
- Yale New Haven Health System, Bridgeport Hospital, Bridgeport, CT, USA
| | | | - Pankaj Nepal
- St. Vincent's Medical Center, Bridgeport, CT, USA
| |
Collapse
|
15
|
Liao A, Mittal P, Lawson DH, Yang JJ, Szalai E, Grossniklaus HE. Radiologic and Histopathologic Correlation of Different Growth Patterns of Metastatic Uveal Melanoma to the Liver. Ophthalmology 2017; 125:597-605. [PMID: 29122287 DOI: 10.1016/j.ophtha.2017.09.029] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Revised: 09/06/2017] [Accepted: 09/25/2017] [Indexed: 01/29/2023] Open
Abstract
PURPOSE The purpose of this study was to correlate magnetic resonance imaging (MRI) radiographic results with histopathologic growth patterns of metastatic uveal melanoma (UM) to the liver. DESIGN Clinicopathologic correlation. PARTICIPANTS Patients with metastatic UM to the liver. METHODS A retrospective review of MRI images of patients with metastatic UM to the liver at a single institution between 2004 and 2016 was performed. The MRI growth patterns were classified as nodular or diffuse. The histopathologic findings of core liver biopsies of liver metastases identified by needle localization in a subset of these patients were reviewed. The core samples were evaluated by routine light microscopy, including immunohistochemical/immunofluorescent staining for CD31, CD105, and HMB45, and classified as exhibiting an infiltrative or nodular growth pattern. MAIN OUTCOME MEASURES Magnetic resonance images and core biopsy findings. RESULTS A total of 32 patients were identified with metastatic UM to the liver that was imaged by MRI, and 127 lesions were identified. A total of 46 lesions were classified by MRI as infiltrative and 81 as nodular. There were 9 needle-localized core biopsies that corresponded to MRI of metastatic lesions. Of these 9 lesions, 3 that were classified as infiltrative on MRI exhibited stage I infiltrative histologic growth patterns; of the remaining 6 that were classified as nodular by MRI, 5 histologically demonstrated stage II or stage III infiltrative growth patterns and 1 histologically demonstrated a nodular growth pattern. CONCLUSIONS Magnetic resonance imaging of hepatic infiltrative growth patterns of metastatic UM corresponded to stage I histologic infiltrative growth in the sinusoidal spaces, whereas MRI nodular growth patterns corresponded to stage II/III histologic infiltrative growth that replaced the hepatic lobule or histologic nodular growth in the portal triad that effaced adjacent hepatic parenchyma.
Collapse
Affiliation(s)
- Albert Liao
- Department of Ophthalmology, Emory University School of Medicine, Atlanta, Georgia
| | - Pardeep Mittal
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - David H Lawson
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia
| | - Jenny J Yang
- Department of Chemistry, Center for Diagnostics and Therapeutics, Georgia State University, Atlanta, Georgia
| | - Eszter Szalai
- Department of Ophthalmology, Emory University School of Medicine, Atlanta, Georgia
| | - Hans E Grossniklaus
- Department of Ophthalmology, Emory University School of Medicine, Atlanta, Georgia; Department of Pathology, Emory University School of Medicine, Atlanta, Georgia.
| |
Collapse
|
16
|
Subtraction MRI versus diffusion weighted imaging: Which is more accurate in assessment of hepatocellular carcinoma after Trans Arterial Chemoembolization (TACE)? THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2016. [DOI: 10.1016/j.ejrnm.2016.07.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
|
17
|
Role of MRI in the assessment of treatment response after radiofrequency and microwave ablation therapy for hepatocellular carcinoma. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2016. [DOI: 10.1016/j.ejrnm.2016.01.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
|
18
|
Eid M, Abougabal A. Subtraction images: A really helpful tool in non-vascular MRI. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2014. [DOI: 10.1016/j.ejrnm.2014.04.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
|
19
|
Abstract
Liver-directed intra-arterial therapies are palliative treatment options for patients with unresectable liver cancer; their use has also resulted in patients being downstaged leading to curative resection and transplantation. These intra-arterial therapies include transarterial embolization, conventional transarterial chemoembolization (TACE), drug-eluting bead TACE and radioembolization. Assessment of imaging response following these liver-directed intra-arterial therapies is challenging but pivotal for patient management. Size measurements based on computed tomography or magnetic resonance imaging (MRI) have been traditionally used to assess tumor response to therapy. However, these anatomic changes lag behind functional changes and may require months to occur. Further, these intra-arterial therapies cause acute tumor necrosis, which may result in a paradoxical increase in tumor size on early follow-up imaging despite complete cell death or necrosis. This concept is unique comparing to changes seen following systemic chemotherapy. The recent development of functional imaging techniques including diffusion-weighted MRI (DW MRI) and positron emission tomography (PET) allow for early assessment of treatment response and even prediction of overall tumor response to intra-arterial therapies. Although the results of DW MRI and PET studies are promising, the impact of these imaging modalities to assess treatment response has been limited without standardized protocols. The aim of this review article is to delineate the best practice for assessing tumor response in patients with primary or secondary hepatic malignancies undergoing intra-arterial therapies.
Collapse
|
20
|
Bilateral adrenal hemorrhage in a patient with myelodysplastic syndrome: value of MRI in the differential diagnosis. Case Rep Radiol 2014; 2013:479836. [PMID: 24381776 PMCID: PMC3870123 DOI: 10.1155/2013/479836] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2013] [Accepted: 11/10/2013] [Indexed: 12/05/2022] Open
Abstract
Bilateral adrenal hemorrhage is a rare potentially life-threatening event that occurs either in traumatic or nontraumatic conditions. The diagnosis is often complicated by its nonspecific presentation and its tendency to intervene in stressful critical illnesses. Due to many disorders in platelet function, hemorrhage is a major cause of morbidity and mortality in patients affected by myeloproliferative diseases. We report here the computed tomography and magnetic resonance imaging findings of a rare case of bilateral adrenal hemorrhage in a patient with myelodysplastic syndrome, emphasizing the importance of MRI in the differential diagnosis.
Collapse
|
21
|
Symptomatic and complicated nonhereditary developmental liver cysts: cross-sectional imaging findings. Emerg Radiol 2013; 21:301-8. [DOI: 10.1007/s10140-013-1179-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2013] [Accepted: 11/07/2013] [Indexed: 01/23/2023]
|
22
|
Ichihashi S, Marugami N, Tanaka T, Iwakoshi S, Kurumatani N, Kitano S, Nogi A, Kichikawa K. Preliminary experience with superparamagnetic iron oxide-enhanced dynamic magnetic resonance imaging and comparison with contrast-enhanced computed tomography in endoleak detection after endovascular aneurysm repair. J Vasc Surg 2013; 58:66-72. [DOI: 10.1016/j.jvs.2012.12.061] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2012] [Revised: 12/14/2012] [Accepted: 12/19/2012] [Indexed: 10/27/2022]
|
23
|
Tatli S, Acar M, Tuncali K, Sadow CA, Morrison PR, Silverman SG. MRI assessment of percutaneous ablation of liver tumors: Value of subtraction images. J Magn Reson Imaging 2012; 37:407-13. [DOI: 10.1002/jmri.23827] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
|
24
|
Winters SD, Jackson S, Armstrong GA, Birchall IW, Lee KHY, Low G. Value of subtraction MRI in assessing treatment response following image-guided loco-regional therapies for hepatocellular carcinoma. Clin Radiol 2012; 67:649-55. [PMID: 22300821 DOI: 10.1016/j.crad.2011.11.013] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2011] [Revised: 10/28/2011] [Accepted: 11/08/2011] [Indexed: 12/29/2022]
Abstract
AIM To compare contrast-enhanced subtraction magnetic resonance imaging (MRI) with contrast-enhanced standard MRI in assessing treatment response following loco-regional therapies for hepatocellular carcinoma (HCC). METHOD AND MATERIALS Institutional review board approval was obtained and informed consent was waived for this retrospective study. All patients were analysed from our institution's liver tumour database that had loco-regional HCC therapy and the following: (1) a contrast-enhanced MRI ≤6 weeks post-treatment, (2) an unenhanced T1-weighted high-signal treatment zone (TZ) ≥1 cm, (3) follow-up contrast-enhanced MRI performed ≥6 months post-treatment. Randomized standard and subtraction TZ datasets were independently assessed by three blinded radiology readers for either complete treatment necrosis or residual disease. The standard of reference (SOR) comprised a consensus read by two radiologists with knowledge of the follow-up MRI and all available clinical data. Statistical analyses were performed using receiver operating characteristics (ROC), t-test, and kappa statistic. RESULTS Twenty-six patients (19 male and seven female patients; mean age 60 years, standard deviation 10.9 years, range 46-88 years) had a total of 45 corresponding HCCs and TZs. For ROC, the area under the curve (AUC) was 0.93 (subtraction protocol) versus 0.90 (standard protocol; p = 0.49). For the t-test, the mean reader confidence level was 4.4, 3.6, and 4.4 (subtraction protocol) versus 3, 3, and 3.7 (standard protocol; p ≤ 0.011). The kappa statistic for reader-to-SOR agreement was 0.83, 0.63, and 0.71 (subtraction protocol) versus 0.51, 0.36, and 0.64 (standard protocol). CONCLUSION Subtraction MRI significantly improves the reader confidence level in the assessment of treatment response following loco-regional therapies for HCC.
Collapse
Affiliation(s)
- S D Winters
- Department of Radiology and Diagnostic Imaging, Royal Alexandra Hospital, Edmonton, Canada
| | | | | | | | | | | |
Collapse
|
25
|
Dechent JF, Buljubasich L, Schreiber LM, Spiess HW, Münnemann K. Proton magnetic resonance imaging with para-hydrogen induced polarization. Phys Chem Chem Phys 2012; 14:2346-52. [PMID: 22240943 DOI: 10.1039/c2cp22822j] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A major challenge in imaging is the detection of small amounts of molecules of interest. In the case of magnetic resonance imaging (MRI) their signals are typically concealed by the large background signal of e.g. the body. This problem can be tackled by hyperpolarization which increases the NMR signals up to several orders of magnitude. However, this strategy is limited for (1)H, the most widely used nucleus in NMR and MRI, because the enormous number of protons in the body screens the small amount of hyperpolarized ones. Here, we describe a method giving rise to high (1)H MRI contrast for hyperpolarized molecules against a large background signal. The contrast is based on the J-coupling induced rephasing of the NMR signal of molecules hyperpolarized via PHIP and it can easily be implemented in common pulse sequences. We discuss several scenarios with different or equal dephasing times T(2)* for the hyperpolarized and thermally polarized compounds and verify our approach by experiments. This method may open up unprecedented opportunities to use the standard MRI nucleus (1)H for e.g. metabolic imaging in the future.
Collapse
Affiliation(s)
- Jan F Dechent
- Max Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
| | | | | | | | | |
Collapse
|
26
|
Sacerdote MG, Johnson PT, Fishman EK. CT of the adrenal gland: the many faces of adrenal hemorrhage. Emerg Radiol 2011; 19:53-60. [PMID: 22037994 DOI: 10.1007/s10140-011-0989-9] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2011] [Accepted: 09/30/2011] [Indexed: 11/26/2022]
Abstract
Adrenal hemorrhage is rarely suspected clinically, exhibits no specific clinical symptoms or laboratory findings, and yet is immediately life-threatening when bilateral. Recognition of adrenal hematomas is complicated by the variable appearance of these lesions. We survey the ways in which adrenal hematomas can appear on CT and provide strategies for differentiating hematomas from other adrenal pathologies.
Collapse
Affiliation(s)
- Michael G Sacerdote
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA
| | | | | |
Collapse
|
27
|
Can quantitative dynamic contrast-enhanced MRI independently characterize an ovarian mass? Eur Radiol 2010; 20:2176-83. [DOI: 10.1007/s00330-010-1795-6] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2009] [Revised: 01/29/2010] [Accepted: 02/28/2010] [Indexed: 11/27/2022]
|
28
|
Bello Báez A, López Pino MA, Azorín Cuadrillero D, Sirvent Cerdá S. [Aneurysmatic bone cyst coexisting with osteosarcoma. Radiopathologic discussion]. RADIOLOGIA 2010; 52:247-50. [PMID: 20304449 DOI: 10.1016/j.rx.2010.01.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2009] [Revised: 01/11/2010] [Accepted: 01/13/2010] [Indexed: 10/19/2022]
Abstract
Aneurysmatic bone cysts are benign lesions of unknown origin. It has been postulated that they might occur in reaction to trauma or to a primary benign (giant cell tumor, chondroblastoma, etc.) or malignant (osteosarcoma) bone tumor that results in local hemodynamic changes. Their malignant transformation is controversial. We present a case of low grade osteosarcoma with a radiologic progression that was indistinguishable from that of an aneurysmatic bone cyst.
Collapse
Affiliation(s)
- A Bello Báez
- Servicio de Radiodiagnóstico Hospital Universitario Nuestra Señora de la Candelaria, Tenerife, España.
| | | | | | | |
Collapse
|
29
|
Kim S, Mannelli L, Hajdu CH, Babb JS, Clark TW, Hecht EM, Taouli B. Hepatocellular carcinoma: Assessment of response to transarterial chemoembolization with image subtraction. J Magn Reson Imaging 2010; 31:348-55. [DOI: 10.1002/jmri.22038] [Citation(s) in RCA: 67] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
|
30
|
Kim S, Jain M, Harris AB, Lee VS, Babb JS, Sigmund EE, Rueff LE, Taouli B. T1 Hyperintense Renal Lesions: Characterization with Diffusion-weighted MR Imaging versus Contrast-enhanced MR Imaging. Radiology 2009; 251:796-807. [DOI: 10.1148/radiol.2513080724] [Citation(s) in RCA: 95] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
|