4.7 Review

Principles of T2*- Weighted Dynamic Susceptibility Contrast MRI Technique in Brain Tumor Imaging

期刊

JOURNAL OF MAGNETIC RESONANCE IMAGING
卷 41, 期 2, 页码 296-313

出版社

WILEY
DOI: 10.1002/jmri.24648

关键词

perfusion magnetic resonance imaging; gadolinium-based contrast agents; brain tumors; echo planar imaging; cerebral blood volume

资金

  1. Bayer HealthCare

向作者/读者索取更多资源

Dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) is used to track the first pass of an exogenous, paramagnetic, nondiffusible contrast agent through brain tissue, and has emerged as a powerful tool in the characterization of brain tumor hemodynamics. DSC-MRI parameters can be helpful in many aspects, including tumor grading, prediction of treatment response, likelihood of malignant transformation, discrimination between tumor recurrence and radiation necrosis, and differentiation between true early progression and pseudoprogression. This review aims to provide a conceptual overview of the underlying principles of DSC-MRI of the brain for clinical neuroradiologists, scientists, or students wishing to improve their understanding of the technical aspects, pitfalls, and controversies of DSC perfusion MRI of the brain. Future consensus on image acquisition parameters and postprocessing of DSC-MRI will most likely allow this technique to be evaluated and used in high-quality multicenter studies and ultimately help guide clinical care. J. Magn. Reson. Imaging 2015;41:296-313.(c) 2013 Wiley Periodicals, Inc.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Clinical Neurology

Pressing Issues in COVID-19: Probable Cause to Seize SARS-CoV-2 for Its Preferential Involvement of Posterior Circulation Manifesting as Severe Posterior Reversible Encephalopathy Syndrome and Posterior Strokes

F. D'Amore, G. Vinacci, E. Agosti, L. P. Cariddi, A. Terrana, F. A. Vizzari, M. Mauri, A. Giorgianni

AMERICAN JOURNAL OF NEURORADIOLOGY (2020)

Letter Clinical Neurology

Multifocal laminar cortical brain lesions: a consistent MRI finding in neuro-COVID-19 patients

Nicoletta Anzalone, Antonella Castellano, Roberta Scotti, Anna Mara Scandroglio, Massimo Filippi, Fabio Ciceri, Moreno Tresoldi, Andrea Falini

JOURNAL OF NEUROLOGY (2020)

Review Oncology

Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas

Jerrold L. Boxerman, Chad C. Quarles, Leland S. Hu, Bradley J. Erickson, Elizabeth R. Gerstner, Marion Smits, Timothy J. Kaufmann, Daniel P. Barboriak, Raymond H. Huang, Wolfgang Wick, Michael Weller, Evanthia Galanis, Jayashree Kalpathy-Cramer, Lalitha Shankar, Paula Jacobs, Caroline Chung, Martin J. van den Bent, Susan Chang, W. K. Al Yung, Timothy F. Cloughesy, Patrick Y. Wen, Mark R. Gilbert, Bruce R. Rosen, Benjamin M. Ellingson, Kathleen M. Schmainda

NEURO-ONCOLOGY (2020)

Review Clinical Neurology

Is Guillain-Barre syndrome triggered by SARS-CoV-2? Case report and literature review

Edoardo Agosti, Andrea Giorgianni, Francesco D'Amore, Gabriele Vinacci, Sergio Balbi, Davide Locatelli

Summary: The case of acute monophasic Guillain-Barre syndrome (GBS) in a COVID-19 patient is rare and may have an etiological correlation with SARS-CoV-2. COVID-19 associated neurological clinic should be considered as standalone clinical entities, requiring further research.

NEUROLOGICAL SCIENCES (2021)

Article Radiology, Nuclear Medicine & Medical Imaging

Substantia Nigra Volumetry with 3-T MRI n De Novo and Advanced Parkinson Disease

Paolo Vitali, Marina Pan, Fulvia Palesi, Giancarlo Germani, Arianna Faggioli, Nicoletta Anzalone, Pietro Francaviglia, Brigida Minafra, Roberta Zangaglia, Claudio Pacchetti, Claudia A. M. Gandini Wheeler-Kingshott

RADIOLOGY (2020)

Letter Critical Care Medicine

Pathological brain CT scans in severe COVID-19 ICU patients

Antonella Castellano, Nicoletta Anzalone, Silvia Pontesilli, Evgeny Fominskiy, Andrea Falini

INTENSIVE CARE MEDICINE (2020)

Article Biochemistry & Molecular Biology

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

William Lotter, Abdul Rahman Diab, Bryan Haslam, Jiye G. Kim, Giorgia Grisot, Eric Wu, Kevin Wu, Jorge Onieva Onieva, Yun Boyer, Jerrold L. Boxerman, Meiyun Wang, Mack Bandler, Gopal R. Vijayaraghavan, A. Gregory Sorensen

Summary: Breast cancer poses a global challenge and early detection through screening mammography is crucial. Recent advancements in applying deep learning to mammography have addressed key difficulties, enhancing accuracy and accessibility of screening mammography.

NATURE MEDICINE (2021)

Article Oncology

Consensus recommendations for MRI and PET imaging of primary central nervous system lymphoma: guideline statement from the International Primary CNS Lymphoma Collaborative Group (IPCG)

Ramon F. Barajas, Letterio S. Politi, Nicoletta Anzalone, Heiko Schoder, Christopher P. Fox, Jerrold L. Boxerman, Timothy J. Kaufmann, C. Chad Quarles, Benjamin M. Ellingson, Dorothee Auer, Ovidiu C. Andronesi, Andres J. M. Ferreri, Maciej M. Mrugala, Christian Grommes, Edward A. Neuwelt, Prakash Ambady, James L. Rubenstein, Gerald Illerhaus, Motoo Nagane, Tracy T. Batchelor, Leland S. Hu

Summary: The article discusses the molecular and pathophysiologic characteristics of PCNSL, as well as critically reviewing the use of PET and MRI in diagnosis and treatment of PCNSL. Recommendations on standardized imaging practices are provided, along with ideal and minimum standard protocols for 3T and 1.5T MR systems to facilitate widespread adoption.

NEURO-ONCOLOGY (2021)

Article Clinical Neurology

The role of CE-MRA of the supraortic vessels in the detection of associated intracranial pathology

Sonia Francesca Calloni, Marianna Perrotta, Luisa Roveri, Pietro Panni, Anna del Poggio, Paolo Quintiliano Vezzulli, Massimo Filippi, Andrea Falini, Nicoletta Anzalone

Summary: The study showed that CE-MRA is a reliable tool for ruling out intracranial pathology associated with supraortic steno-occlusive disease and also reduces examination time. In cases of suspicion of dissection, a T1-weighted sequence should be added to detect the presence of subacute vessel wall hematoma.

NEUROLOGICAL SCIENCES (2021)

Article Clinical Neurology

Mechanisms of Network Changes in Cognitive Impairment in Multiple Sclerosis

Danka Jandric, Ilona Lipp, David Paling, David Rog, Gloria Castellazzi, Hamied Haroon, Laura Parkes, Geoff J. M. Parker, Valentina Tomassini, Nils Muhlert

Summary: This study found that cognitive impairment in patients with multiple sclerosis is associated with functional connectivity abnormalities, which are accompanied by local cerebral blood flow and structural connectivity abnormalities. However, these effects do not exactly occur in the same location.

NEUROLOGY (2021)

Article Oncology

Hypothetical generalized framework for a new imaging endpoint of therapeutic activity in early phase clinical trials in brain tumors

Benjamin M. Ellingson, Elizabeth R. Gerstner, Andrew B. Lassman, Caroline Chung, Howard Colman, Patricia E. Cole, David Leung, Joshua E. Allen, Manmeet S. Ahluwalia, Jerrold Boxerman, Matthew Brown, Jonathan Goldin, Edjah Nduom, Islam Hassan, Mark R. Gilbert, Ingo K. Mellinghoff, Michael Weller, Susan Chang, David Arons, Clair Meehan, Wendy Selig, Kirk Tanner, W. K. Alfred Yung, Martin van den Bent, Patrick Y. Wen, Timothy F. Cloughesy

Summary: Imaging response assessment plays a crucial role in patient care and drug development in oncology, but the current methods are insufficient in evaluating treatment effects comprehensively. Proposed modifications to the existing framework aim to improve the accuracy in measuring treatment effects and provide a reliable basis for selecting candidate therapies and identifying effective treatments.

NEURO-ONCOLOGY (2022)

Article Biotechnology & Applied Microbiology

Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients

Michela Destito, Aldo Marzullo, Riccardo Leone, Paolo Zaffino, Sara Steffanoni, Federico Erbella, Francesco Calimeri, Nicoletta Anzalone, Elena De Momi, Andres J. M. Ferreri, Teresa Calimeri, Maria Francesca Spadea

Summary: This study aimed to investigate whether radiomics features can improve outcome prediction in patients with Primary Central Nervous System Lymphoma (PCNSL). By extracting and selecting radiomics features from normalized MR images and using machine learning models for survival prediction, better performance was achieved compared to current clinical prognostic factors. These results indicate that radiomics features can improve prognosis stratification of PCNSL patients and pave the way for further study on their potential role in treatment choice.

BIOENGINEERING-BASEL (2023)

Proceedings Paper Computer Science, Artificial Intelligence

Automatic Segmentation of Dentate Nuclei for Microstructure Assessment: Example of Application to Temporal Lobe Epilepsy Patients

Marta Gaviraghi, Giovanni Savini, Gloria Castellazzi, Fulvia Palesi, Nicolo Rolandi, Simone Sacco, Anna Pichiecchio, Valeria Mariani, Elena Tartara, Laura Tassi, Paolo Vitali, Egidio D'Angelo, Claudia A. M. Gandini Wheeler-Kingshott

Summary: This study developed a fully automated segmentation method for dentate nuclei (DNs) and tested it on healthy subjects and patients with Temporal Lobe Epilepsy (TLE). Results showed that using Convolutional Neural Network (CNN) yielded better segmentation results, showcasing its potential for accurate extraction of DNs from different resolution DWI data.

COMPUTATIONAL DIFFUSION MRI (2021)

Meeting Abstract Clinical Neurology

CT and Multiphase CTA Alone Can Identify Thrombectomy Candidates Beyond 6 Hours

Sarah Hays, Eleanor DiBiasio, Audra Caine, Grayson Baird, Shawna Cutting, Shadi Yaghi, Jerrold Boxerman, Gaurav Jindal, Tina Burton, Ali Saad, Mac Brian Grory, Karen Furie, Ryan McTaggart, Mahesh Jayaraman

STROKE (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)

Laura C. Bell, Natenael Semmineh, Hongyu An, Cihat Eldeniz, Richard Wahl, Kathleen M. Schmainda, Melissa A. Prah, Bradley J. Erickson, Panagiotis Korfiatis, Chengyue Wu, Anna G. Sorace, Thomas E. Yankeetoy, Neal Rutledge, Thomas L. Chenevert, Dariya Malyarenko, Yichu Liu, Andrew Brenner, Leland S. Hu, Yuxiang Zhou, Jerrold L. Boxerman, Yi-Fen Yen, Jayashree Kalpathy-Cramer, Andrew L. Beers, Mark Muzi, Ananth J. Madhuranthakam, Marco Pinho, Brian Johnson, C. Chad Quarles

TOMOGRAPHY (2019)

暂无数据