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Mangalore S, Pradeep GVN, Murthy VKS, Bairwa P, Kumar P, Saini J, Prasad C, Sadashiva N, Beniwal M, Santosh V. Prospective Study to Evaluate the Role of Dual Point Contrast-enhanced Magnetic Resonance Imaging in Differentiation of Brain Tumoral from Nontumoral Tissue: A Magnetic Resonance/PET Study. Indian J Nucl Med 2024; 39:87-97. [PMID: 38989312 PMCID: PMC11232725 DOI: 10.4103/ijnm.ijnm_103_23] [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: 09/18/2023] [Revised: 12/19/2023] [Accepted: 12/20/2023] [Indexed: 07/12/2024] Open
Abstract
Background and Purpose Follow-up imaging of gliomas is crucial to look for residual or recurrence and to differentiate them from nontumoral tissue. Positron emission tomography (PET)-magnetic resonance imaging (MRI) is the problem-solving tool in such cases. We investigated the role of dual point contrast (DPC)-enhanced MRI to discriminate tumoral from the nontumoral tissue compared to PET-MRI taken as the gold standard. Materials and Methods The institutional ethics committee approved the study, and consent was obtained from all the patients included in the study. We prospectively did immediate and 75-min delayed contrast MRI in glioma cases who came for follow-up as a part of PET-MRI study in our institute. Subtracted images were obtained using immediate and 75-min delayed contrast images. Color-coded subtracted images were compared with PET-MRI images. 75-min delayed contrast MRI and diffusion-weighted imaging (DWI) images with Gray Scale inversion were compared with PET attenuation-corrected images. Results We included 23 PET MRI cases done with different radiotracers in our study. Overall, we found PET-DPC correlation in (20/20 ~ 100%) cases of enhancing tumors. In two cases (DOPA and fluorodeoxyglucose), since they were nonenhancing low-grade gliomas and the other one was melanoma with intrinsic T1 hyperintensity and the DPC technique could not be used. DWI-PET correlated in 17/19 (~89.4%) cases, and perfusion-weighted imaging (PWI)-PET dynamic susceptibility contrast (DSC)/ASL correlated in 14/18 (~77.7%) cases after cases with hemorrhage were excluded. Conclusion DPC MRI showed a good correlation with PET MRI in discriminating tumoral from the nontumoral tissue. DPC MRI can act as a potential alternative to PET MRI in peripheral hospitals where PET is not available. However, the DPC technique is limited in low-grade nonenhancing gliomas.
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Affiliation(s)
- Sandhya Mangalore
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Guddanti Venkata Naga Pradeep
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Venkatesh K. S. Murthy
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Pawan Bairwa
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Pardeep Kumar
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Chandrajit Prasad
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Nishanth Sadashiva
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Manish Beniwal
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Vani Santosh
- Department of Neuropathology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
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Di Girolamo M, Grossi A. Contrast agents for MRI and side effects. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00094-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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Diana R, Caruso U, Panunzi B. Stimuli-Responsive Zinc (II) Coordination Polymers: A Novel Platform for Supramolecular Chromic Smart Tools. Polymers (Basel) 2021; 13:3712. [PMID: 34771269 PMCID: PMC8588226 DOI: 10.3390/polym13213712] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 10/22/2021] [Accepted: 10/24/2021] [Indexed: 12/12/2022] Open
Abstract
The unique role of the zinc (II) cation prompted us to cut a cross-section of the large and complex topic of the stimuli-responsive coordination polymers (CPs). Due to its flexible coordination environment and geometries, easiness of coordination-decoordination equilibria, "optically innocent" ability to "clip" the ligands in emissive architectures, non-toxicity and sustainability, the zinc (II) cation is a good candidate for building supramolecular smart tools. The review summarizes the recent achievements of zinc-based CPs as stimuli-responsive materials able to provide a chromic response. An overview of the past five years has been organised, encompassing 1, 2 and 3D responsive zinc-based CPs; specifically zinc-based metallorganic frameworks and zinc-based nanosized polymeric probes. The most relevant examples were collected following a consequential and progressive approach, referring to the structure-responsiveness relationship, the sensing mechanisms, the analytes and/or parameters detected. Finally, applications of highly bioengineered Zn-CPs for advanced imaging technique have been discussed.
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Affiliation(s)
- Rosita Diana
- Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy;
| | - Ugo Caruso
- Department of Chemical Science, University of Naples Federico II, 80126 Napoli, Italy;
| | - Barbara Panunzi
- Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy;
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Pasumarthi S, Tamir JI, Christensen S, Zaharchuk G, Zhang T, Gong E. A generic deep learning model for reduced gadolinium dose in contrast-enhanced brain MRI. Magn Reson Med 2021; 86:1687-1700. [PMID: 33914965 DOI: 10.1002/mrm.28808] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 03/23/2021] [Accepted: 03/25/2021] [Indexed: 01/17/2023]
Abstract
PURPOSE With rising safety concerns over the use of gadolinium-based contrast agents (GBCAs) in contrast-enhanced MRI, there is a need for dose reduction while maintaining diagnostic capability. This work proposes comprehensive technical solutions for a deep learning (DL) model that predicts contrast-enhanced images of the brain with approximately 10% of the standard dose, across different sites and scanners. METHODS The proposed DL model consists of a set of methods that improve the model robustness and generalizability. The steps include multi-planar reconstruction, 2.5D model, enhancement-weighted L1, perceptual, and adversarial losses. The proposed model predicts contrast-enhanced images from corresponding pre-contrast and low-dose images. With IRB approval and informed consent, 640 heterogeneous patient scans (56 train, 13 validation, and 571 test) from 3 institutions consisting of 3D T1-weighted brain images were used. Quantitative metrics were computed and 50 randomly sampled test cases were evaluated by 2 board-certified radiologists. Quantitative tumor segmentation was performed on cases with abnormal enhancements. Ablation study was performed for systematic evaluation of proposed technical solutions. RESULTS The average peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) between full-dose and model prediction were 35.07 ± 3.84 dB and 0.92 ± 0.02 , respectively. Radiologists found the same enhancing pattern in 45/50 (90%) cases; discrepancies were minor differences in contrast intensity and artifacts, with no effect on diagnosis. The average segmentation Dice score between full-dose and synthesized images was 0.88 ± 0.06 (median = 0.91). CONCLUSIONS We have proposed a DL model with technical solutions for low-dose contrast-enhanced brain MRI with potential generalizability under diverse clinical settings.
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Affiliation(s)
| | - Jonathan I Tamir
- Subtle Medical Inc., Menlo Park, CA, USA.,Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
| | | | - Greg Zaharchuk
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Tao Zhang
- Subtle Medical Inc., Menlo Park, CA, USA
| | - Enhao Gong
- Subtle Medical Inc., Menlo Park, CA, USA
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5
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Guo LJ, Soslow JH, Bettis AK, Nghiem PP, Cummings KJ, Lenox MW, Miller MW, Kornegay JN, Spurney CF. Natural History of Cardiomyopathy in Adult Dogs With Golden Retriever Muscular Dystrophy. J Am Heart Assoc 2019; 8:e012443. [PMID: 31411085 PMCID: PMC6759898 DOI: 10.1161/jaha.119.012443] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background Duchenne muscular dystrophy (DMD) is an X‐linked disease that causes progressive muscle weakness. Affected boys typically die from respiratory or cardiac failure. Golden retriever muscular dystrophy (GRMD) is genetically homologous with DMD and causes analogous skeletal and cardiac muscle disease. Previous studies have detailed features of GRMD cardiomyopathy in mostly young dogs. Cardiac disease is not well characterized in adult GRMD dogs, and cardiac magnetic resonance (CMR) imaging studies have not been completed. Methods and Results We evaluated echocardiography and CMR in 24 adult GRMD dogs at different ages. Left ventricular systolic and diastolic functions, wall thickness, and myocardial strain were assessed with echocardiography. Features evaluated with CMR included left ventricular function, chamber size, myocardial mass, and late gadolinium enhancement. Our results largely paralleled those of DMD cardiomyopathy. Ejection fraction and fractional shortening correlated well with age, with systolic dysfunction occurring at ≈30 to 45 months. Circumferential strain was more sensitive than ejection fraction in early disease detection. Evidence of left ventricular chamber dilatation provided proof of dilated cardiomyopathy. Late gadolinium enhancement imaging showed DMD‐like left ventricular lateral wall lesions and earlier involvement of the anterior septum. Multiple functional indexes were graded objectively and added, with and without late gadolinium enhancement, to give cardiac and cardiomyopathy scores of disease severity. Consistent with DMD, there was parallel skeletal muscle involvement, as tibiotarsal joint flexion torque declined in tandem with cardiac function. Conclusions This study established parallels of progressive cardiomyopathy between dystrophic dogs and boys, further validating GRMD as a model of DMD cardiac disease.
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Affiliation(s)
- Lee-Jae Guo
- Department of Veterinary Integrative Biosciences College of Veterinary Medicine and Biomedical Sciences Texas A&M University College Station TX.,Texas A&M Institute for Preclinical Studies College of Veterinary Medicine and Biomedical Sciences Texas A&M University College Station TX
| | - Jonathan H Soslow
- Division of Pediatric Cardiology Department of Pediatrics Vanderbilt University Medical Center Nashville TN
| | - Amanda K Bettis
- Department of Veterinary Integrative Biosciences College of Veterinary Medicine and Biomedical Sciences Texas A&M University College Station TX
| | - Peter P Nghiem
- Department of Veterinary Integrative Biosciences College of Veterinary Medicine and Biomedical Sciences Texas A&M University College Station TX
| | - Kevin J Cummings
- Department of Population Medicine and Diagnostic Sciences College of Veterinary Medicine Cornell University Ithaca NY
| | - Mark W Lenox
- Department of Biomedical Engineering College of Engineering Texas A&M University College Station TX
| | - Matthew W Miller
- Department of Small Animal Clinical Sciences College of Veterinary Medicine and Biomedical Sciences Texas A&M University College Station TX
| | - Joe N Kornegay
- Department of Veterinary Integrative Biosciences College of Veterinary Medicine and Biomedical Sciences Texas A&M University College Station TX
| | - Christopher F Spurney
- Division of Cardiology and Center for Genetic Medicine Research Children's National Health System Washington DC
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Lohrke J, Frenzel T, Endrikat J, Alves FC, Grist TM, Law M, Lee JM, Leiner T, Li KC, Nikolaou K, Prince MR, Schild HH, Weinreb JC, Yoshikawa K, Pietsch H. 25 Years of Contrast-Enhanced MRI: Developments, Current Challenges and Future Perspectives. Adv Ther 2016; 33:1-28. [PMID: 26809251 PMCID: PMC4735235 DOI: 10.1007/s12325-015-0275-4] [Citation(s) in RCA: 232] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Indexed: 12/17/2022]
Abstract
UNLABELLED In 1988, the first contrast agent specifically designed for magnetic resonance imaging (MRI), gadopentetate dimeglumine (Magnevist(®)), became available for clinical use. Since then, a plethora of studies have investigated the potential of MRI contrast agents for diagnostic imaging across the body, including the central nervous system, heart and circulation, breast, lungs, the gastrointestinal, genitourinary, musculoskeletal and lymphatic systems, and even the skin. Today, after 25 years of contrast-enhanced (CE-) MRI in clinical practice, the utility of this diagnostic imaging modality has expanded beyond initial expectations to become an essential tool for disease diagnosis and management worldwide. CE-MRI continues to evolve, with new techniques, advanced technologies, and novel contrast agents bringing exciting opportunities for more sensitive, targeted imaging and improved patient management, along with associated clinical challenges. This review aims to provide an overview on the history of MRI and contrast media development, to highlight certain key advances in the clinical development of CE-MRI, to outline current technical trends and clinical challenges, and to suggest some important future perspectives. FUNDING Bayer HealthCare.
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Affiliation(s)
- Jessica Lohrke
- MR and CT Contrast Media Research, Bayer HealthCare, Berlin, Germany
| | - Thomas Frenzel
- MR and CT Contrast Media Research, Bayer HealthCare, Berlin, Germany
| | - Jan Endrikat
- Global Medical Affairs Radiology, Bayer HealthCare, Berlin, Germany
- Saarland University Hospital, Homburg, Germany
| | | | - Thomas M Grist
- Radiology, Medical Physics and Biomedical Engineering, University of Wisconsin, Madison, WI, USA
| | - Meng Law
- Radiology and Neurological Surgery, University of South California, Keck School of Medicine, USC University Hospital, Los Angeles, CA, USA
| | - Jeong Min Lee
- College of Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Tim Leiner
- Radiology, Utrecht University Medical Center, Utrecht, The Netherlands
| | - Kun-Cheng Li
- Radiology, Xuan Wu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Konstantin Nikolaou
- Radiology, Ludwig-Maximilians University, University Hospitals, Munich, Germany
| | - Martin R Prince
- Radiology, Weill Cornell Medical College, New York, NY, USA
- Columbia College of Physicians and Surgeons, New York, NY, USA
| | | | | | - Kohki Yoshikawa
- Graduate Division of Medical Health Sciences, Graduate School of Komazawa University, Tokyo, Japan
| | - Hubertus Pietsch
- MR and CT Contrast Media Research, Bayer HealthCare, Berlin, Germany.
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