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Adin ME, Isufi E, Wu J, Pang Y, Nguyen D, Simsek Has D, Caner C, Aboueldaha N, Mossa-Basha M, Pucar D. Reactive axillary lymph nodes after COVID-19 mRNA vaccination: comparison of mRNA vs. attenuated whole-virus vaccines. Nucl Med Commun 2024; 45:474-480. [PMID: 38465449 DOI: 10.1097/mnm.0000000000001833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
OBJECTIVE To compare the incidence and natural course of reactive axillary lymph nodes (RAL) between mRNA and attenuated whole-virus vaccines using Deauville criteria. METHODS In this multi-institutional PET-CT study comprising multiple vaccine types (Pfizer-BioNTech/Comirnaty, Moderna/Spikevax, Sinovac/CoronaVac and Janssen vaccines), we evaluated the incidence and natural course of RAL in a large cohort of oncological patients utilizing a standardized Deauville scaling system (n=522; 293 Female, Deauville 3-5 positive for RAL). Univariate and multivariate analyses were conducted to evaluate the predictive value of clinical parameters (absolute neutrophil count [ANC], platelets, age, sex, tumor type, and vaccine-to-PET interval) for PET positivity. RESULTS Pfizer-BioNTech/Comirnaty and Moderna vaccines revealed similar RAL incidences for the first 20 days after the second dose of vaccine administration (44% for the first 10 days for both groups, 26% vs. 20% for 10-20 days, respectively for Moderna and Pfizer). However, Moderna recipients revealed significantly higher incidences of RAL after 20 days compared to Pfizer-BioNTech/Comirnaty, with nodal reactivity spanning up to the 9th week post-vaccination (15% vs. 4%, respectively P < 0.001). No RAL was observed in patients who received either a single dose of J&J vaccine or two doses of CroronaVac. Younger patients showed increased likelihood of RAL, otherwise, clinical/demographic parameters were not predictive of RAL ( P = 0.014 for age, P > 0.05 for additional clinical/demographic parameters). CONCLUSION RAL based on strict PET criteria was observed with mRNA but not with attenuated whole-virus vaccines, in line with higher immunogenicity and stronger protection offered by mRNA vaccines.
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Affiliation(s)
- Mehmet Emin Adin
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut,
| | - Edvin Isufi
- Departments of Radiology, University of Missouri, Columbia, Missouri
| | - Jennifer Wu
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut,
| | - Yulei Pang
- Department of Mathematics, Southern Connecticut State University, New Haven, Connecticut,
| | - Daniel Nguyen
- University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Duygu Simsek Has
- Department of Nuclear Medicine, Istanbul School of Medicine, Istanbul University, Istanbul, Turkey
| | - Civan Caner
- Department of Nuclear Medicine, Istanbul School of Medicine, Istanbul University, Istanbul, Turkey
| | - Noha Aboueldaha
- Department of Radiology, Washington University School of Medicine, Seattle, Washington and
| | - Mahmud Mossa-Basha
- Department of Radiology, Washington University School of Medicine, Seattle, Washington and
| | - Darko Pucar
- Departments of Radiology, Cleveland Clinic, Weston, Florida, USA
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Yang K, Musio F, Ma Y, Juchler N, Paetzold JC, Al-Maskari R, Höher L, Li HB, Hamamci IE, Sekuboyina A, Shit S, Huang H, Prabhakar C, de la Rosa E, Waldmannstetter D, Kofler F, Navarro F, Menten M, Ezhov I, Rueckert D, Vos I, Ruigrok Y, Velthuis B, Kuijf H, Hämmerli J, Wurster C, Bijlenga P, Westphal L, Bisschop J, Colombo E, Baazaoui H, Makmur A, Hallinan J, Wiestler B, Kirschke JS, Wiest R, Montagnon E, Letourneau-Guillon L, Galdran A, Galati F, Falcetta D, Zuluaga MA, Lin C, Zhao H, Zhang Z, Ra S, Hwang J, Park H, Chen J, Wodzinski M, Müller H, Shi P, Liu W, Ma T, Yalçin C, Hamadache RE, Salvi J, Llado X, Lal-Trehan Estrada UM, Abramova V, Giancardo L, Oliver A, Liu J, Huang H, Cui Y, Lin Z, Liu Y, Zhu S, Patel TR, Tutino VM, Orouskhani M, Wang H, Mossa-Basha M, Zhu C, Rokuss MR, Kirchhoff Y, Disch N, Holzschuh J, Isensee F, Maier-Hein K, Sato Y, Hirsch S, Wegener S, Menze B. Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. ArXiv 2024:arXiv:2312.17670v3. [PMID: 38235066 PMCID: PMC10793481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to affect the risk, severity, and clinical outcome of serious neuro-vascular diseases. However, characterizing the highly variable CoW anatomy is still a manual and time-consuming expert task. The CoW is usually imaged by two angiographic imaging modalities, magnetic resonance angiography (MRA) and computed tomography angiography (CTA), but there exist limited public datasets with annotations on CoW anatomy, especially for CTA. Therefore we organized the TopCoW Challenge in 2023 with the release of an annotated CoW dataset. The TopCoW dataset was the first public dataset with voxel-level annotations for thirteen possible CoW vessel components, enabled by virtual-reality (VR) technology. It was also the first large dataset with paired MRA and CTA from the same patients. TopCoW challenge formalized the CoW characterization problem as a multiclass anatomical segmentation task with an emphasis on topological metrics. We invited submissions worldwide for the CoW segmentation task, which attracted over 140 registered participants from four continents. The top performing teams managed to segment many CoW components to Dice scores around 90%, but with lower scores for communicating arteries and rare variants. There were also topological mistakes for predictions with high Dice scores. Additional topological analysis revealed further areas for improvement in detecting certain CoW components and matching CoW variant topology accurately. TopCoW represented a first attempt at benchmarking the CoW anatomical segmentation task for MRA and CTA, both morphologically and topologically.
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Affiliation(s)
- Kaiyuan Yang
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Fabio Musio
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
- Center for Computational Health, Zurich University of Applied Sciences, Zurich, Switzerland
| | - Yihui Ma
- Department of Neuroradiology, University Hospital of Zurich, Zurich, Switzerland
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Norman Juchler
- Center for Computational Health, Zurich University of Applied Sciences, Zurich, Switzerland
| | - Johannes C. Paetzold
- Department of Computing, Imperial College London, London, UK
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Munich, Germany
| | - Rami Al-Maskari
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Munich, Germany
| | - Luciano Höher
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Munich, Germany
| | - Hongwei Bran Li
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
- Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, USA
| | | | - Anjany Sekuboyina
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Suprosanna Shit
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
- School of Medicine, Technical University of Munich, Munich, Germany
| | - Houjing Huang
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Chinmay Prabhakar
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Ezequiel de la Rosa
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Diana Waldmannstetter
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
- Department of Informatics, Technical University of Munich, Munich, Germany
| | - Florian Kofler
- School of Medicine, Technical University of Munich, Munich, Germany
- Department of Informatics, Technical University of Munich, Munich, Germany
- Helmholtz AI, Helmholtz Munich, Munich, Germany
| | - Fernando Navarro
- School of Medicine, Technical University of Munich, Munich, Germany
- Department of Informatics, Technical University of Munich, Munich, Germany
| | - Martin Menten
- Department of Computing, Imperial College London, London, UK
- Department of Informatics, Technical University of Munich, Munich, Germany
| | - Ivan Ezhov
- Department of Informatics, Technical University of Munich, Munich, Germany
| | - Daniel Rueckert
- Department of Computing, Imperial College London, London, UK
- Department of Informatics, Technical University of Munich, Munich, Germany
| | - Iris Vos
- Image Sciences Institute, UMC Utrecht, Utrecht, the Netherlands
| | - Ynte Ruigrok
- Department of Neurology, UMC Utrecht, Utrecht, the Netherlands
| | | | - Hugo Kuijf
- Image Sciences Institute, UMC Utrecht, Utrecht, the Netherlands
| | - Julien Hämmerli
- Department of Clinical Neurosciences, Division of Neurosurgery, Geneva University Hospitals, Geneva, Switzerland
| | - Catherine Wurster
- Department of Clinical Neurosciences, Division of Neurosurgery, Geneva University Hospitals, Geneva, Switzerland
| | - Philippe Bijlenga
- Department of Clinical Neurosciences, Division of Neurosurgery, Geneva University Hospitals, Geneva, Switzerland
| | - Laura Westphal
- Department of Neurology, University Hospital of Zurich, Zurich, Switzerland
| | - Jeroen Bisschop
- Department of Physiology, University of Toronto, Toronto, Canada
| | - Elisa Colombo
- Department of Neurosurgery, University Hospital of Zurich, Zurich, Switzerland
| | - Hakim Baazaoui
- Department of Neurology, University Hospital of Zurich, Zurich, Switzerland
| | - Andrew Makmur
- Department of Diagnostic Imaging, National University Hospital, Singapore
| | - James Hallinan
- Department of Diagnostic Imaging, National University Hospital, Singapore
| | - Bene Wiestler
- School of Medicine, Technical University of Munich, Munich, Germany
| | - Jan S. Kirschke
- School of Medicine, Technical University of Munich, Munich, Germany
| | - Roland Wiest
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Berne and University of Berne, Berne, Switzerland
| | - Emmanuel Montagnon
- Centre de Recherche du Centre Hospitalier de l’Université de Montreal (CRCHUM), Montreal, Canada
| | | | | | | | | | | | - Chaolong Lin
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Haoran Zhao
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Zehan Zhang
- Hangzhou Genlight Medtech Co. Ltd., Hangzhou, China
| | - Sinyoung Ra
- Department of Artificial Intelligence, Sungkyunkwan University, Seoul, Korea
| | - Jongyun Hwang
- Department of Artificial Intelligence, Sungkyunkwan University, Seoul, Korea
| | - Hyunjin Park
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Seoul, Korea
| | - Junqiang Chen
- Shanghai MediWorks Precision Instruments Co.,Ltd, Shanghai, China
| | - Marek Wodzinski
- Institute of Informatics, HES-SO Valais-Wallis, Switzerland
- Department of Measurement and Electronics, AGH University of Krakow, Poland
| | - Henning Müller
- Institute of Informatics, HES-SO Valais-Wallis, Switzerland
| | - Pengcheng Shi
- Electronic & Information Engineering School, Harbin Institute of Technology (Shenzhen), Shenzhen, China
| | - Wei Liu
- Electronic & Information Engineering School, Harbin Institute of Technology (Shenzhen), Shenzhen, China
| | - Ting Ma
- Electronic & Information Engineering School, Harbin Institute of Technology (Shenzhen), Shenzhen, China
- Peng Cheng Laboratory, Shenzhen, China
| | - Cansu Yalçin
- Research Institute of Computer Vision and Robotics (ViCOROB), Universitat de Girona, Catalonia, Spain
| | - Rachika E. Hamadache
- Research Institute of Computer Vision and Robotics (ViCOROB), Universitat de Girona, Catalonia, Spain
| | - Joaquim Salvi
- Research Institute of Computer Vision and Robotics (ViCOROB), Universitat de Girona, Catalonia, Spain
| | - Xavier Llado
- Research Institute of Computer Vision and Robotics (ViCOROB), Universitat de Girona, Catalonia, Spain
| | | | - Valeriia Abramova
- Research Institute of Computer Vision and Robotics (ViCOROB), Universitat de Girona, Catalonia, Spain
| | - Luca Giancardo
- Center for Precision Health, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, USA
| | - Arnau Oliver
- Research Institute of Computer Vision and Robotics (ViCOROB), Universitat de Girona, Catalonia, Spain
| | - Jialu Liu
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Haibin Huang
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Yue Cui
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Zehang Lin
- School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China
| | - Yusheng Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai, China
| | - Shunzhi Zhu
- School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China
| | - Tatsat R. Patel
- Canon Stroke and Vascular Research Center, Buffalo, USA
- Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, USA
- Department of Neurosurgery, University at Buffalo, Buffalo, USA
| | - Vincent M. Tutino
- Canon Stroke and Vascular Research Center, Buffalo, USA
- Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, USA
- Department of Neurosurgery, University at Buffalo, Buffalo, USA
- Department of Biomedical Engineering, University at Buffalo, Buffalo, USA
| | | | - Huayu Wang
- Department of Radiology, University of Washington, Seattle, USA
| | | | - Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle, USA
| | - Maximilian R. Rokuss
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany
- Faculty of Mathematics and Computer Science, Heidelberg University, Germany
| | - Yannick Kirchhoff
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany
- Faculty of Mathematics and Computer Science, Heidelberg University, Germany
- HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany
| | - Nico Disch
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany
- Faculty of Mathematics and Computer Science, Heidelberg University, Germany
- HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany
| | - Julius Holzschuh
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany
| | - Fabian Isensee
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany
- Helmholtz Imaging, German Cancer Research Center, Heidelberg, Germany
| | - Klaus Maier-Hein
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital
| | | | - Sven Hirsch
- Center for Computational Health, Zurich University of Applied Sciences, Zurich, Switzerland
| | - Susanne Wegener
- Department of Neurology, University Hospital of Zurich, Zurich, Switzerland
| | - Bjoern Menze
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
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3
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Liu Q, Liu P, Zhang Y, Mossa-Basha M, Hasan DM, Li J, Zhu C, Wang S. Serum Interleukin-1 Levels Are Associated with Intracranial Aneurysm Instability. Transl Stroke Res 2024; 15:433-445. [PMID: 36792794 DOI: 10.1007/s12975-023-01140-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 02/03/2023] [Accepted: 02/05/2023] [Indexed: 02/17/2023]
Abstract
Serum interleukin-1 (IL-1) are possibly indicative of the inflammation in the intracranial aneurysm (IA) wall. This study aimed to investigate whether IL-1 could discriminate the unstable IAs (ruptured intracranial aneurysms (RIAs) and symptomatic unruptured intracranial aneurysms (UIAs)) from stable, asymptomatic UIAs. IA tissues and blood samples from 35 RIA patients and 35 UIA patients were collected between January 2017 and June 2020 as the derivation cohort. Blood samples from 211 patients with UIAs were collected between January 2021 and June 2022 as the validation cohort (including 63 symptomatic UIAs). Blood samples from 35 non-cerebral-edema meningioma patients (non-inflammatory control) and 19 patients with unknown-cause subarachnoid hemorrhage (hemorrhagic control) were also collected. IL-1β and IL-1.ra (IL-1 receptor antagonist) were measured in serum and IA tissues, and the IL-1 ratio was calculated as log10 (IL-1.ra/IL-1β). Based on the derivation cohort, multivariate logistic analysis showed that IL-1β (odds ratio, 1.48, P = 0.001) and IL-1.ra (odds ratio, 0.74, P = 0.005) were associated with RIAs. The IL-1 ratio showed an excellent diagnostic accuracy for RIAs (c-statistic, 0.91). Histological analysis confirmed the significant correlation of IL-1 between serum and aneurysm tissues. IL-1 ratio could discriminate UIAs from non-inflammatory controls (c-statistic, 0.84), and RIAs from hemorrhagic controls (c-statistic, 0.95). Based on the validation cohort, the combination of IL-1 ratio and PHASES score had better diagnostic accuracy for symptomatic UIAs than PHASES score alone (c-statistic, 0.88 vs 0.80, P < 0.001). Serum IL-1 levels correlate with aneurysm tissue IL-1 levels and unstable aneurysm status, and could serve as a potential biomarker for IA instability.
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Affiliation(s)
- Qingyuan Liu
- Department of Neurosurgery, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Peng Liu
- Department of Neurosurgery, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yisen Zhang
- Department of Neurosurgery, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - David M Hasan
- Department of Neurosurgery, Duke University, Durham, North Carolina, USA
| | - Jiangan Li
- Department of Emergency, the Affiliated Wuxi NO.2 People's Hospital of Jiangnan University, Wuxi, Jiangsu, China.
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle, Washington, USA.
| | - Shuo Wang
- Department of Neurosurgery, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- Department of Emergency, the Affiliated Wuxi NO.2 People's Hospital of Jiangnan University, Wuxi, Jiangsu, China.
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Sun B, Wang L, Li X, Zhang J, Zhang J, Tian J, Mossa-Basha M, Xu J, Zhou Y, Zhao H, Zhu C. Delayed Enhancement of Intracranial Atherosclerotic Plaque Can Better Differentiate Culprit Lesions: A Multiphase Contrast-Enhanced Vessel Wall MRI Study. AJNR Am J Neuroradiol 2024; 45:262-270. [PMID: 38388686 DOI: 10.3174/ajnr.a8132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 12/05/2023] [Indexed: 02/24/2024]
Abstract
BACKGROUND AND PURPOSE Intracranial plaque enhancement (IPE) identified by contrast-enhanced vessel wall MR imaging (VW-MR imaging) is an emerging marker of plaque instability related to stroke risk, but there was no standardized timing for postcontrast acquisition. We aim to explore the optimal postcontrast timing by using multiphase contrast-enhanced VW-MR imaging and to test its performance in differentiating culprit and nonculprit lesions. MATERIALS AND METHODS Patients with acute ischemic stroke due to intracranial plaque were prospectively recruited to undergo VW-MR imaging with 1 precontrast phase and 4 consecutive postcontrast phases (9 minutes and 13 seconds for each phase). The signal intensity (SI) values of the CSF and intracranial plaque were measured on 1 precontrast and 4 postcontrast phases to determine the intracranial plaque enhancement index (PEI). The dynamic changes of the PEI were compared between culprit and nonculprit plaques on the postcontrast acquisitions. RESULTS Thirty patients with acute stroke (aged 59 ± 10 years, 18 [60%] men) with 113 intracranial plaques were included. The average PEI of all intracranial plaques significantly increased (up to 14%) over the 4 phases. There was significantly increased PEI over the 4 phases for culprit plaques (an average increase of 23%), but this was not observed for nonculprit plaques. For differentiating culprit and nonculprit plaques, we observed that the performance of IPE in the second postcontrast phase (cutoff = 0.83, AUC = 0.829 [0.746-0.893]) exhibited superior accuracy when compared with PEI in the first postcontrast phase (cutoff = 0.48; AUC = 0.768 [0.680-0.843]) (P = .022). CONCLUSIONS A 9-minute delay of postcontrast acquisition can maximize plaque enhancement and better differentiate between culprit and nonculprit plaques. In addition, culprit and nonculprit plaques have different enhancement temporal patterns, which should be evaluated in future studies.
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Affiliation(s)
- Beibei Sun
- From the Department of Radiology, Ren Ji Hospital (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai China
- College of Health Science and Technology (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Radiology (M.M., C.Z.), University of Washington, Seattle, Washington
| | - Lingling Wang
- From the Department of Radiology, Ren Ji Hospital (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai China
- College of Health Science and Technology (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Li
- From the Department of Radiology, Ren Ji Hospital (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai China
- College of Health Science and Technology (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jin Zhang
- From the Department of Radiology, Ren Ji Hospital (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai China
- College of Health Science and Technology (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianjian Zhang
- From the Department of Radiology, Ren Ji Hospital (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai China
- College of Health Science and Technology (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiaqi Tian
- From the Department of Radiology, Ren Ji Hospital (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai China
- College of Health Science and Technology (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mahmud Mossa-Basha
- Department of Radiology (M.M., C.Z.), University of Washington, Seattle, Washington
| | - Jianrong Xu
- From the Department of Radiology, Ren Ji Hospital (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai China
- College of Health Science and Technology (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Zhou
- From the Department of Radiology, Ren Ji Hospital (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai China
- College of Health Science and Technology (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huilin Zhao
- From the Department of Radiology, Ren Ji Hospital (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai China
- College of Health Science and Technology (B.S., L.W., X.L., Jin Zhang, Jianjian Zhang, J.T., J.X., Y.Z., H.Z.), Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chengcheng Zhu
- Department of Radiology (M.M., C.Z.), University of Washington, Seattle, Washington
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Bai X, Fan P, Li Z, Mossa-Basha M, Ju Y, Zhao X, Kong Q, Pei X, Zhang X, Sui B, Zhu C. Evaluating Middle Cerebral Artery Plaque Characteristics and Lenticulostriate Artery Morphology Associated With Subcortical Infarctions at 7T MRI. J Magn Reson Imaging 2024; 59:1045-1055. [PMID: 37259904 DOI: 10.1002/jmri.28839] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 05/19/2023] [Accepted: 05/19/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND Lenticulostriate artery (LSA) obstruction is a potential cause of subcortical infarcts. However, MRI LSA evaluation at 3T is challenging. PURPOSE To investigate middle cerebral artery (MCA) plaque characteristics and LSA morphology associated with subcortical infarctions in LSA territories using 7-T vessel wall MRI (VW-MRI) and time-of-flight MR angiography (TOF-MRA). STUDY TYPE Prospective. POPULATION Sixty patients with 80 MCA atherosclerotic plaques (37 culprit and 43 non-culprit). FIELD STRENGTH/SEQUENCE 7-T with 3D TOF-MRA and T1-weighted 3D sampling perfection with application-optimized contrast using different flip angle evolutions (SPACE) sequences. ASSESSMENT Plaque distribution (superior, inferior, ventral, or dorsal walls), LSA origin involvement, LSA morphology (numbers of stems, branches, and length), and plaque characteristics (normalized wall index, maximal wall thickness, plaque length, remodeling index, intraplaque hemorrhage, and plaque surface morphology (regular or irregular)) were assessed. STATISTICAL TESTS Least absolute shrinkage and selection operator regression, generalized estimating equations regression, receiver operating characteristic curve, independent t-test, Mann-Whitney U test, Chi-square test, Fisher's exact test, and intra-class coefficient. A P value <0.05 was considered statistically significant. RESULTS Plaque irregular surface, superior wall plaque, longer plaque length, LSA origin involvement, fewer LSA stems, and shorter total and average lengths of LSAs were significantly associated with culprit plaques. Multivariable logistic analysis confirmed that LSA origin involvement (OR, 28.51; 95% CI, 6.34-181.02) and plaque irregular surface (OR, 8.32; 95% CI, 1.41-64.73) were independent predictors in differentiating culprit from non-culprit plaques. A combination of LSA origin involvement and plaque irregular surface (area under curve = 0.92; [95% CI, 0.86-0.98]) showed good performance in identifying culprit plaques, with sensitivity and specificity of 86.5% and 86.0%, respectively. DATA CONCLUSION 7-T VW-MRI and TOF-MRA can demonstrate plaque involvement with LSA origins. MCA plaque characteristics derived from 7-T VW-MRI showed good diagnostic accuracy in determining the occurrence of subcortical infarctions. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Xiaoyan Bai
- Tiantan Neuroimaging Center for Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Pingping Fan
- Tiantan Neuroimaging Center for Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhiye Li
- Tiantan Neuroimaging Center for Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Mahmud Mossa-Basha
- Department of Radiology, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Yi Ju
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qingle Kong
- MR Collaboration, Siemens Healthineers Ltd., Beijing, China
| | - Xun Pei
- Tiantan Neuroimaging Center for Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xue Zhang
- Tiantan Neuroimaging Center for Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Binbin Sui
- Tiantan Neuroimaging Center for Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle, Washington, USA
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6
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Goldfarb JW, Mossa-Basha M, Nguyen KL, Hecht EM, Finn JP. Trends in magnetic resonance and computed tomography angiography utilization among Medicare beneficiaries between 2013 and 2020. Clin Imaging 2024; 107:110088. [PMID: 38277858 DOI: 10.1016/j.clinimag.2024.110088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 01/11/2024] [Accepted: 01/17/2024] [Indexed: 01/28/2024]
Abstract
PURPOSE To evaluate relative and absolute utilization trends and practice patterns in the United States for MRA and CTA. METHODS Using Medicare Part B physician payment databases (2013-2020), MRA and CTA interpreting physicians and exams were identified using the unique MRA and CTA Healthcare Common Procedure Coding System codes. The number of exams, physicians, demographics, use of contrast, and payments were summarized annually and analyzed to evaluate trends before and during the first year of the COVID-19 pandemic. RESULTS From 2013 to 2019, the annual number of MRA exams performed decreased by 17.9 %, while the number of CTA exams increased by 90.3 %. The number of physicians interpreting MRA decreased in both hospital (-17.2 %) and outpatient (-7.5 %) environments. The number of physicians interpreting CTA increased in both hospital (+29.4 %) and outpatient (+54.3 %) environments. During the first year of the COVID-19 pandemic, MRA utilization decreased across all imaging environments by 25.0 % whereas CTA only decreased by 5.5 %. Intracranial MRA studies were most often performed without contrast, while contrast use for neck MRA was performed at similar rates as non-contrast exams. CONCLUSION The overall utilization of MRA and the number of interpreting physicians are decreasing. On the other hand, CTA use and its number of interpreting physicians are increasing. During the first year of the COVID-19 pandemic, use of both MRA and CTA decreased, but the utilization of MRA decreased at five times the rate of CTA.
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Affiliation(s)
- James W Goldfarb
- Division of Cardiovascular Imaging, St. Francis Hospital and Heart Center, Roslyn, NY, USA.
| | - Mahmud Mossa-Basha
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kim-Lien Nguyen
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA; Division of Cardiology, David Geffen School of Medicine at UCLA, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | | | - J Paul Finn
- Diagnostic Cardiovascular Imaging Research Laboratory, Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
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7
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Mossa-Basha M, Andre JB, Yuh E, Hunt D, LaPiana N, Howlett B, Krakauer C, Crane P, Nelson J, DeZelar M, Meyers K, Larson E, Ralston J, Mac Donald CL. Comparison of brain imaging and physical health between research and clinical neuroimaging cohorts of ageing. Br J Radiol 2024; 97:614-621. [PMID: 38303547 PMCID: PMC11027291 DOI: 10.1093/bjr/tqae004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 08/28/2023] [Accepted: 01/05/2024] [Indexed: 02/03/2024] Open
Abstract
OBJECTIVES To compare brain MRI measures between Adult Changes in Thought (ACT) participants who underwent research, clinical, or both MRI scans, and clinical health measures across the groups and non-MRI subjects. METHODS Retrospective cohort study leveraging MRI, clinical, demographic, and medication data from ACT. Three neuroradiologists reviewed MRI scans using NIH Neuroimaging Common Data Elements (CDEs). Total brain and white matter hyperintensity (WMH) volumes, clinical characteristics, and outcome measures of brain and overall health were compared between groups. 1166 MRIs were included (77 research, 1043 clinical, and 46 both) and an additional 3146 participants with no MRI were compared. RESULTS Compared to the group with research MRI only, the clinical MRI group had higher prevalence of the following: acute infarcts, chronic haematoma, subarachnoid haemorrhage, subdural haemorrhage, haemorrhagic transformation, and hydrocephalus (each P < .001). Quantitative WMH burden was significantly lower (P < .001) and total brain volume significantly higher (P < .001) in research MRI participants compared to other MRI groups. Prevalence of hypertension, self-reported cerebrovascular disease, congestive heart failure, dementia, and recent hospitalization (all P < .001) and diabetes (P = .002) differed significantly across groups, with smaller proportions in the research MRI group. CONCLUSION In ageing populations, significant differences were observed in MRI metrics between research MRI and clinical MRI groups, and clinical health metric differences between research MRI, clinical MRI, and no-MRI groups. ADVANCES IN KNOWLEDGE This questions whether research cohorts can adequately represent the greater ageing population undergoing imaging. These findings may also be useful to radiologists when interpreting neuroimaging of ageing.
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Affiliation(s)
- Mahmud Mossa-Basha
- Department of Radiology, University of Washington, 1959 NE Pacific St, Seattle, Washington, 98105 United States
| | - Jalal B Andre
- Department of Radiology, University of Washington, 1959 NE Pacific St, Seattle, Washington, 98105 United States
| | - Esther Yuh
- Department of Radiology, University of California San Francisco, 1001 Potrero Avenue, Building 5, San Francisco, California, 94110 United States
| | - David Hunt
- Department of Neurological Surgery, University of Washington, 325 9th Avenue, Seattle, Washington, 98104 United States
| | - Nina LaPiana
- Department of Neurological Surgery, University of Washington, 325 9th Avenue, Seattle, Washington, 98104 United States
| | - Bradley Howlett
- Department of Neurological Surgery, University of Washington, 325 9th Avenue, Seattle, Washington, 98104 United States
| | - Chloe Krakauer
- Health Research Institute, Kaiser Permanente Washington, 1730 Minor Ave, Seattle, Washington, 98101 United States
| | - Paul Crane
- Department of Internal Medicine, University of Washington, 325 9th Avenue, Seattle, Washington, 98104 United States
| | - Jennifer Nelson
- Health Research Institute, Kaiser Permanente Washington, 1730 Minor Ave, Seattle, Washington, 98101 United States
| | - Margaret DeZelar
- Health Research Institute, Kaiser Permanente Washington, 1730 Minor Ave, Seattle, Washington, 98101 United States
| | - Kelly Meyers
- Health Research Institute, Kaiser Permanente Washington, 1730 Minor Ave, Seattle, Washington, 98101 United States
| | - Eric Larson
- Health Research Institute, Kaiser Permanente Washington, 1730 Minor Ave, Seattle, Washington, 98101 United States
| | - James Ralston
- Health Research Institute, Kaiser Permanente Washington, 1730 Minor Ave, Seattle, Washington, 98101 United States
| | - Christine L Mac Donald
- Department of Neurological Surgery, University of Washington, 325 9th Avenue, Seattle, Washington, 98104 United States
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8
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Pionteck A, Abderezaei J, Fillingham P, Chuang YC, Sakai Y, Belani P, Rigney B, De Leacy R, Fifi JT, Chien A, Colby GP, Jahan R, Duckwiler G, Sayre J, Holdsworth SJ, Mossa-Basha M, Levitt MR, Mocco J, Kurt M, Nael K. Intracranial aneurysm wall displacement depicted by amplified Flow predicts growth. J Neurointerv Surg 2024:jnis-2023-021227. [PMID: 38320850 DOI: 10.1136/jnis-2023-021227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 01/21/2024] [Indexed: 03/01/2024]
Abstract
BACKGROUND Abnormal intracranial aneurysm (IA) wall motion has been associated with IA growth and rupture. Recently, a new image processing algorithm called amplified Flow (aFlow) has been used to successfully track IA wall motion by combining the amplification of cine and four-dimensional (4D) Flow MRI. We sought to apply aFlow to assess wall motion as a potential marker of IA growth in a paired-wise analysis of patients with growing versus stable aneurysms. METHODS In this retrospective case-control study, 10 patients with growing IAs and a matched cohort of 10 patients with stable IAs who had baseline 4D Flow MRI were included. The aFlow was used to amplify and extract IA wall displacements from 4D Flow MRI. The associations of aFlow parameters with commonly used risk factors and morphometric features were assessed using paired-wise univariate and multivariate analyses. RESULTS aFlow quantitative results showed significantly (P=0.035) higher wall motion displacement depicted by mean±SD 90th% values of 2.34±0.72 in growing IAs versus 1.39±0.58 in stable IAs with an area under the curve of 0.85. There was also significantly (P<0.05) higher variability of wall deformation across IA geometry in growing versus stable IAs depicted by the dispersion variables including 121-150% larger standard deviation ([Formula: see text]) and 128-161% wider interquartile range [Formula: see text]. CONCLUSIONS aFlow-derived quantitative assessment of IA wall motion showed greater wall motion and higher variability of wall deformation in growing versus stable IAs.
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Affiliation(s)
- Aymeric Pionteck
- Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Javid Abderezaei
- Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Patrick Fillingham
- Neurological Surgery, University of Washington School of Medicine, Seattle, Washington, USA
| | - Ya-Chen Chuang
- Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Yu Sakai
- Diagnostic, Molecular and Interventional Radiology, Mount Sinai Health System, New York, New York, USA
| | - Puneet Belani
- Diagnostic, Molecular and Interventional Radiology, Mount Sinai Health System, New York, New York, USA
| | - Brian Rigney
- Diagnostic, Molecular and Interventional Radiology, Mount Sinai Health System, New York, New York, USA
| | - Reade De Leacy
- Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Johanna T Fifi
- Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Aichi Chien
- Radiological Sciences, University of California, Los Angeles David Geffen School of Medicine, Los Angeles, California, USA
| | - Geoffrey P Colby
- Neurosurgery, University of California Los Angeles David Geffen School of Medicine, Los Angeles, California, USA
| | - Reza Jahan
- Radiological Sciences, University of California, Los Angeles David Geffen School of Medicine, Los Angeles, California, USA
| | - Gary Duckwiler
- Radiological Sciences, University of California, Los Angeles David Geffen School of Medicine, Los Angeles, California, USA
| | - James Sayre
- Radiological Sciences, University of California, Los Angeles David Geffen School of Medicine, Los Angeles, California, USA
| | | | - Mahmud Mossa-Basha
- Radiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Michael R Levitt
- Neurological Surgery, University of Washington School of Medicine, Seattle, Washington, USA
| | - J Mocco
- Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mehmet Kurt
- Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Kambiz Nael
- Diagnostic, Molecular and Interventional Radiology, Mount Sinai Health System, New York, New York, USA
- Radiological Sciences, University of California, Los Angeles David Geffen School of Medicine, Los Angeles, California, USA
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9
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Zamora CA, Mossa-Basha M, Castillo M. Usefulness of Different Imaging Methods in the Diagnosis of Cerebral Vasculopathy. Neuroimaging Clin N Am 2024; 34:39-52. [PMID: 37951704 DOI: 10.1016/j.nic.2023.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2023]
Abstract
Assessment of cerebral vasculopathies is challenging and requires understanding the utility of different imaging methods. Various techniques are available to image the vessel lumen, each with unique advantages and disadvantages. Bolus-based CT and MR angiography requires careful timing of a contrast bolus to provide optimal luminal enhancement. Non-contrast MRA techniques do not require a contrast agent and can provide images with little venous contamination. Digital subtraction angiography remains the gold standard but is invasive, while VW-MRI provides a non-invasive way of assessing vessel wall pathology. Conventional brain MRI has high sensitivity in the diagnosis of vasculitis but findings are nonspecific.
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Affiliation(s)
- Carlos A Zamora
- Division of Neuroradiology, Department of Radiology, University of North Carolina School of Medicine, CB 7510, Old Infirmary Building, 101 Manning Drive, Chapel Hill, NC 27599-7510, USA.
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, University of Washington School of Medicine, 1959 NE Pacific Street, Seattle, WA 98195, USA
| | - Mauricio Castillo
- Division of Neuroradiology, Department of Radiology, University of North Carolina School of Medicine, CB 7510, Old Infirmary Building, 101 Manning Drive, Chapel Hill, NC 27599-7510, USA
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10
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Romero-Sanchez G, Dabiri M, Mossa-Basha M. Primary Large Vessel Vasculitis: Takayasu Arteritis and Giant Cell Arteritis. Neuroimaging Clin N Am 2024; 34:53-65. [PMID: 37951705 DOI: 10.1016/j.nic.2023.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2023]
Abstract
Takayasu arteritis (TA) and Giant cell arteritis (GCA) are large vessel vasculitides, with TA targeting the aorta and its branches, and GCA targeting both large and medium-sized arteries. Early diagnosis of TA and GCA are of great importance, since delayed, inappropriate or no treatment can result in severe and permanent complications. Imaging plays a central role in establishing diagnosis, targeting lesions for confirmational diagnostic biopsy, specifically for GCA, and longitudinal disease evolution. In this article, we discuss imaging diagnosis of large artery vasculitis and the value of different imaging modalities.
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Affiliation(s)
- Griselda Romero-Sanchez
- Department of Radiology, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran, Textitlan 21 Casa 11, Santa Ursula Xitla, Tlalpan, Mexico City 14420, Mexico
| | - Mona Dabiri
- Department of Radiology, Children's Medical Center, Tehran University of Medical Sciences, Abi Avenue, Dolat St, Tehran 11369, Iran
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington School of Medicine, 1959 Northeast Pacific Street, Seattle, WA 98195, USA.
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11
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Mossa-Basha M, Zamora CA, Castillo M. Vasculitis: A Comprehensive Review. Neuroimaging Clin N Am 2024; 34:xvii-xviii. [PMID: 37951710 DOI: 10.1016/j.nic.2023.07.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2023]
Affiliation(s)
- Mahmud Mossa-Basha
- Department of Radiology, University of Washington School of Medicine, 1959 Northeast Pacific Street, Seattle, WA 98195, USA.
| | - Carlos A Zamora
- Department of Radiology, University of North Carolina School of Medicine, Old Clinic Building CB# 7510, Chapel Hill, NC 27599-7510, USA.
| | - Mauricio Castillo
- Department of Radiology, University of North Carolina School of Medicine, Old Clinic Building CB# 7510, Chapel Hill, NC 27599-7510, USA.
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12
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Fu Q, Zhang Y, Zhang Y, Liu C, Li J, Wang M, Luo H, Zhu J, Qu F, Mossa-Basha M, Guan S, Cheng J, Zhu C. Wall permeability on magnetic resonance imaging is associated with intracranial aneurysm symptoms and wall enhancement. Eur Radiol 2024:10.1007/s00330-023-10548-9. [PMID: 38224377 DOI: 10.1007/s00330-023-10548-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 11/20/2023] [Accepted: 11/30/2023] [Indexed: 01/16/2024]
Abstract
OBJECTIVES Wall remodeling and inflammation accompany symptomatic unruptured intracranial aneurysms (UIAs). The volume transfer constant (Ktrans) of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) reflects UIA wall permeability. Aneurysmal wall enhancement (AWE) on vessel wall MRI (VWI) is associated with inflammation. We hypothesized that Ktrans is related to symptomatic UIAs and AWE. METHODS Consecutive patients with UIAs were prospectively recruited for 3-T DCE-MRI and VWI from January 2018 to March 2023. UIAs were classified as asymptomatic and symptomatic if associated with sentinel headache or oculomotor nerve palsy. Ktrans and AWE were assessed on DCE-MRI and VWI, respectively. AWE was evaluated using the AWE pattern and wall enhancement index (WEI). Spearman's correlation coefficient and univariate and multivariate analyses were used to assess correlations between parameters. RESULTS We enrolled 82 patients with 100 UIAs (28 symptomatic and 72 asymptomatic). The median Ktrans (2.1 versus 0.4 min-1; p < 0.001) and WEI (1.5 versus 0.4; p < 0.001) were higher for symptomatic aneurysms than for asymptomatic aneurysms. Ktrans (odds ratio [OR]: 1.60, 95% confidence interval [95% CI]: 1.01-2.52; p = 0.04) and WEI (OR: 3.31, 95% CI: 1.05-10.42; p = 0.04) were independent risk factors for symptomatic aneurysms. Ktrans was positively correlated with WEI (Spearman's coefficient of rank correlation (rs) = 0.41, p < 0.001). The combination of Ktrans and WEI achieved an area under the curve of 0.81 for differentiating symptomatic from asymptomatic aneurysms. CONCLUSIONS Ktrans may be correlated with symptomatic aneurysms and AWE. Ktrans and WEI may provide an additional value than the PHASES score for risk stratification of UIAs. CLINICAL RELEVANCE STATEMENT The volume transfer constant (Ktrans) from DCE-MRI perfusion is associated with symptomatic aneurysms and provides additional value above the clinical PHASES score for risk stratification of intracranial aneurysms. KEY POINTS • The volume transfer constant is correlated with intracranial aneurysm symptoms and aneurysmal wall enhancement. • Dynamic contrast-enhanced and vessel wall MRI facilitates understanding of the pathophysiological characteristics of intracranial aneurysm walls. • The volume transfer constant and wall enhancement index perform better than the traditional PHASES score in differentiating symptomatic aneurysms.
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Affiliation(s)
- Qichang Fu
- Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, 1St Construction of E Rd, Two-Seven Districts, Zhengzhou, 450052, China
| | - Yi Zhang
- Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, 1St Construction of E Rd, Two-Seven Districts, Zhengzhou, 450052, China
| | - Yong Zhang
- Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, 1St Construction of E Rd, Two-Seven Districts, Zhengzhou, 450052, China
| | - Chao Liu
- Department of Interventional Neuroradiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jinyi Li
- Department of Interventional Neuroradiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Meng Wang
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Haiyang Luo
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jinxia Zhu
- MR Collaboration, Siemens Healthineers Ltd, Beijing, China
| | - Feifei Qu
- MR Collaboration, Siemens Healthineers Ltd, Beijing, China
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA
| | - Sheng Guan
- Department of Interventional Neuroradiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, 1St Construction of E Rd, Two-Seven Districts, Zhengzhou, 450052, China.
| | - Chengcheng Zhu
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA
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13
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Liu J, Zhang Y, Levitt MR, Mossa-Basha M, Wang C, Turhon M, Zhang Y, Zhang Y, Wang K, Zhu C, Yang X. Risk of unruptured aneurysms in subarachnoid hemorrhage patients with multiple intracranial aneurysms: a multicenter, longitudinal, comparative study from China. J Neurointerv Surg 2024:jnis-2023-021113. [PMID: 38171610 DOI: 10.1136/jnis-2023-021113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 12/14/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND In aneurysmal subarachnoid hemorrhage patients with multiple intracranial aneurysms (aSAH-MIA patients), the risk of secondary unruptured intracranial aneurysms is inconsistent. This study aimed to explore the risk of unruptured aneurysms in Chinese aSAH-MIA patients. METHODS The medical records and angiographic images of aSAH-MIA patients from eight cerebrovascular centers in China were retrospectively reviewed and analyzed. Patients with a single unruptured intracranial aneurysm (UIA) and no prior aSAH were used as controls. Propensity score matching (PSM) was employed to balance the differences in age, gender, aneurysm size, aneurysm site, and follow-up duration between the two groups. RESULTS The study included 267 unruptured aneurysms from 204 aSAH-MIA patients and 769 single UIA. After PSM, 201 aneurysms were enrolled in the aSAH-MIA group and 201 aneurysms in the control group. The mean follow-up was 2.2 years. Thirty-four aneurysm instability events (28 growth and 6 rupture, 16.9%) occurred during follow-up in the aSAH-MIA group and 16 instability events (13 growth and 3 rupture, 8%) occurred in the control group. Risk factors for aneurysmal instability were aneurysm irregularity (OR 2.53; 95% CI 1.18 to 4.31), higher size ratio (OR 1.23; 95% CI 1.37 to 4.39), and middle cerebral artery location (OR 1.86; 95% CI 1.03 to 3.17). The risk of aneurysmal instability was substantially elevated in the aSAH-MIA group (HR 2.07; 95% CI 1.12 to 3.02). CONCLUSIONS Unruptured aneurysms in Chinese aSAH-MIA patients exhibited higher risks of growth and rupture than in patients with a single UIA. Middle cerebral artery location, higher size ratio and irregular shape were associated with higher risk of growth or rupture.
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Affiliation(s)
- Jian Liu
- Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yiping Zhang
- Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Michael R Levitt
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, Washington, USA
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Chao Wang
- Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Mirzat Turhon
- Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ying Zhang
- Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yisen Zhang
- Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Kun Wang
- Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Xinjian Yang
- Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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14
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Saba L, Cau R, Murgia A, Nicolaides AN, Wintermark M, Castillo M, Staub D, Kakkos SK, Yang Q, Paraskevas KI, Yuan C, Edjlali M, Sanfilippo R, Hendrikse J, Johansson E, Mossa-Basha M, Balu N, Dichgans M, Saloner D, Bos D, Jager HR, Naylor R, Faa G, Suri JS, Costello J, Auer DP, Mcnally JS, Bonati LH, Nardi V, van der Lugt A, Griffin M, Wasserman BA, Kooi ME, Gillard J, Lanzino G, Mikhailidis DP, Mandell DM, Benson JC, van Dam-Nolen DHK, Kopczak A, Song JW, Gupta A, DeMarco JK, Chaturvedi S, Virmani R, Hatsukami TS, Brown M, Moody AR, Libby P, Schindler A, Saam T. Carotid Plaque-RADS: A Novel Stroke Risk Classification System. JACC Cardiovasc Imaging 2024; 17:62-75. [PMID: 37823860 DOI: 10.1016/j.jcmg.2023.09.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/06/2023] [Accepted: 09/12/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND Carotid artery atherosclerosis is highly prevalent in the general population and is a well-established risk factor for acute ischemic stroke. Although the morphological characteristics of vulnerable plaques are well recognized, there is a lack of consensus in reporting and interpreting carotid plaque features. OBJECTIVES The aim of this paper is to establish a consistent and comprehensive approach for imaging and reporting carotid plaque by introducing the Plaque-RADS (Reporting and Data System) score. METHODS A panel of experts recognized the necessity to develop a classification system for carotid plaque and its defining characteristics. Using a multimodality analysis approach, the Plaque-RADS categories were established through consensus, drawing on existing published reports. RESULTS The authors present a universal classification that is applicable to both researchers and clinicians. The Plaque-RADS score offers a morphological assessment in addition to the prevailing quantitative parameter of "stenosis." The Plaque-RADS score spans from grade 1 (indicating complete absence of plaque) to grade 4 (representing complicated plaque). Accompanying visual examples are included to facilitate a clear understanding of the Plaque-RADS categories. CONCLUSIONS Plaque-RADS is a standardized and reliable system of reporting carotid plaque composition and morphology via different imaging modalities, such as ultrasound, computed tomography, and magnetic resonance imaging. This scoring system has the potential to help in the precise identification of patients who may benefit from exclusive medical intervention and those who require alternative treatments, thereby enhancing patient care. A standardized lexicon and structured reporting promise to enhance communication between radiologists, referring clinicians, and scientists.
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Affiliation(s)
- Luca Saba
- Department of Radiology, University of Cagliari, Cagliari, Italy.
| | - Riccardo Cau
- Department of Radiology, University of Cagliari, Cagliari, Italy
| | | | - Andrew N Nicolaides
- Vascular Screening and Diagnostic Centre, Nicosia, Cyprus; University of Nicosia Medical School, Nicosia, Cyprus; Department of Vascular Surgery, Imperial College, London, United Kingdom
| | - Max Wintermark
- Department of Neuroradiology, The University of Texas MD Anderson Center, Houston, Texas, USA
| | - Mauricio Castillo
- Department of Radiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Daniel Staub
- Vascular Medicine/Angiology, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Stavros K Kakkos
- Department of Vascular Surgery, University of Patras Medical School, Patras, Greece
| | - Qi Yang
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | | | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Myriam Edjlali
- Multimodal Biomedical Imaging Laboratory (BioMaps), Paris-Saclay University, CEA, CNRS, Inserm, Frédéric Joliot Hospital Department, Orsay, France; Department of Radiology, APHP, Paris, France
| | | | | | - Elias Johansson
- Clinical Science, Umeå University, Neurosciences, Umeå, Sweden
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Niranjan Balu
- Department of Surgery, University of Washington, Seattle, WA, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - David Saloner
- Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, California, USA
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands; Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium; Department of Clinical Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
| | - H Rolf Jager
- Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, United Kingdom
| | - Ross Naylor
- The Leicester Vascular Institute, Glenfield Hospital, Leicester, United Kingdom
| | - Gavino Faa
- Department of Pathology, University of Cagliari, Cagliari, Italy
| | - Jasjit S Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoin, Roseville, California, USA
| | - Justin Costello
- Department of Neuroradiology, Walter Reed National Military Medical Center and Uniformed Services University of Health Sciences, Bethesda, Maryland, USA
| | - Dorothee P Auer
- Radiological Sciences, Division of Clinical Neuroscience, and NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom
| | - J Scott Mcnally
- Department of Radiology, University of Utah, Salt Lake City, Utah, USA
| | - Leo H Bonati
- Department of Neurology and Stroke Center, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Valentina Nardi
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Maura Griffin
- Vascular Screening and Diagnostic Centre, Nicosia, Cyprus
| | - Bruce A Wasserman
- Department of Radiology, University of Maryland School of Medicine and Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - M Eline Kooi
- Department of Radiology and Nuclear Medicine, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, the Netherlands
| | | | - Giuseppe Lanzino
- Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Dimitri P Mikhailidis
- Department of Clinical Biochemistry, Royal Free Hospital Campus, University College London School, University College London, London, United Kingdom
| | - Daniel M Mandell
- Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada
| | - John C Benson
- Department of Radiology Mayo Clinic, Rochester, Minnesota, USA
| | - Dianne H K van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Anna Kopczak
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Jae W Song
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ajay Gupta
- Department of Radiology Weill Cornell Medical College, New York, New York, USA
| | - J Kevin DeMarco
- Walter Reed National Military Medical Center and Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Seemant Chaturvedi
- Department of Neurology, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Renu Virmani
- Department of Cardiovascular Pathology, CVPath Institute, Gaithersburg, Maryland, USA
| | | | - Martin Brown
- Department of Neurology and Neurosurgery, University College London Hospitals, London, United Kingdom
| | - Alan R Moody
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Peter Libby
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Andreas Schindler
- Institute of Neuroradiology, University Hospital, LMU Munich, Munich, Germany
| | - Tobias Saam
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany; Die Radiologie, Rosenheim, Germany
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15
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Guo Y, Canton G, Baylam Geleri D, Balu N, Sun J, Kharaji M, Zanaty N, Wang X, Zhang K, L Tirschwell D, Hatsukami TS, Yuan C, Mossa-Basha M. Plaque Evolution and Vessel Wall Remodeling of Intracranial Arteries: A Prospective, Longitudinal Vessel Wall MRI Study. J Magn Reson Imaging 2023. [PMID: 38131254 DOI: 10.1002/jmri.29185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/30/2023] [Accepted: 11/30/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Progression of intracranial atherosclerotic disease (ICAD) is associated with ischemic stroke events and can be quantified with three-dimensional (3D) intracranial vessel wall (IVW) MRI. However, longitudinal 3D IVW studies are limited and ICAD evolution remains relatively unknown. PURPOSE To evaluate ICAD changes longitudinally and to characterize the imaging patterns of atherosclerotic plaque evolution. STUDY TYPE Prospective. POPULATION 37 patients (69 ± 12 years old, 12 females) with angiography confirmed ICAD. FIELD STRENGTH/SEQUENCE 3.0T/3D time-of-flight gradient echo sequence and T1- and proton density-weighted fast spin echo sequences. ASSESSMENT Each patient underwent baseline and 1-year follow-up IVW. Then, IVW data from both time points were jointly preprocessed using a multitime point, multicontrast, and multiplanar viewing workflow (known as MOCHA). Lumen and outer wall of plaques were traced and measured, and plaques were then categorized into progression, stable, and regression groups based on changes in plaque wall thickness. Patient demographic and clinical data were collected. Culprit plaques were identified based on cerebral ischemic infarcts. STATISTICAL TESTS Generalized estimating equations-based linear and logistic regressions were used to assess associations between vascular risk factors, medications, luminal stenosis, IVW plaque imaging features, and longitudinal changes. A two-sided P-value<0.05 was considered statistically significant. RESULTS Diabetes was significantly associated with ICAD progression, resulting in 6.6% decrease in lumen area and 6.7% increase in wall thickness at 1-year follow-up. After accounting for arterial segments, baseline contrast enhancement predicted plaque progression (odds ratio = 3.61). Culprit plaques experienced an average luminal expansion of 10.9% after 1 year. 74% of the plaques remained stable during follow-up. The regression group (18 plaques) showed significant increase in minimum lumen area (from 7.4 to 8.3 mm2 ), while the progression group (13 plaques) showed significant decrease in minimum lumen area (from 5.4 to 4.3 mm2 ). DATA CONCLUSION Longitudinal 3D IVW showed ICAD remodeling on the lumen side. Culprit plaques demonstrated longitudinal luminal expansion compared with their non-culprit counterparts. Baseline plaque contrast enhancement and diabetes mellitus were found to be significantly associated with ICAD changes. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Yin Guo
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Gador Canton
- Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Duygu Baylam Geleri
- Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Niranjan Balu
- Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Jie Sun
- Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Mona Kharaji
- Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Nadin Zanaty
- Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA
- Department of Radiology, Zagazig University, Zagazig, Egypt
| | - Xin Wang
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington, USA
| | - Kaiyu Zhang
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - David L Tirschwell
- Department of Neurology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Thomas S Hatsukami
- Department of Surgery, University of Washington School of Medicine, Seattle, Washington, USA
| | - Chun Yuan
- Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA
- Department of Radiology and Imaging Science, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA
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16
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van der Kamp LT, Edjlali M, Naggara O, Matsushige T, Bulters DO, Digpal R, Zhu C, Saloner D, Hu P, Zhai X, Mossa-Basha M, Tian B, Sakamoto S, Fu Q, Ruigrok YM, Zhao H, Chen H, Rinkel GJE, van der Schaaf IC, Vergouwen MDI. Gadolinium-enhanced intracranial aneurysm wall imaging and risk of aneurysm growth and rupture: a multicentre longitudinal cohort study. Eur Radiol 2023:10.1007/s00330-023-10388-7. [PMID: 38108888 DOI: 10.1007/s00330-023-10388-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 09/06/2023] [Accepted: 09/18/2023] [Indexed: 12/19/2023]
Abstract
OBJECTIVES In patients with an unruptured intracranial aneurysm, gadolinium enhancement of the aneurysm wall is associated with growth and rupture. However, most previous studies did not have a longitudinal design and did not adjust for aneurysm size, which is the main predictor of aneurysm instability and the most important determinant of wall enhancement. We investigated whether aneurysm wall enhancement predicts aneurysm growth and rupture during follow-up and whether the predictive value was independent of aneurysm size. MATERIALS AND METHODS In this multicentre longitudinal cohort study, individual patient data were obtained from twelve international cohorts. Inclusion criteria were as follows: 18 years or older with ≥ 1 untreated unruptured intracranial aneurysm < 15 mm; gadolinium-enhanced aneurysm wall imaging and MRA at baseline; and MRA or rupture during follow-up. Patients were included between November 2012 and November 2019. We calculated crude hazard ratios with 95%CI of aneurysm wall enhancement for growth (≥ 1 mm increase) or rupture and adjusted for aneurysm size. RESULTS In 455 patients (mean age (SD), 60 (13) years; 323 (71%) women) with 559 aneurysms, growth or rupture occurred in 13/194 (6.7%) aneurysms with wall enhancement and in 9/365 (2.5%) aneurysms without enhancement (crude hazard ratio 3.1 [95%CI: 1.3-7.4], adjusted hazard ratio 1.4 [95%CI: 0.5-3.7]) with a median follow-up duration of 1.2 years. CONCLUSIONS Gadolinium enhancement of the aneurysm wall predicts aneurysm growth or rupture during short-term follow-up, but not independent of aneurysm size. CLINICAL RELEVANCE STATEMENT Gadolinium-enhanced aneurysm wall imaging is not recommended for short-term prediction of growth and rupture, since it appears to have no additional value to conventional predictors. KEY POINTS • Although aneurysm wall enhancement is associated with aneurysm instability in cross-sectional studies, it remains unknown whether it predicts risk of aneurysm growth or rupture in longitudinal studies. • Gadolinium enhancement of the aneurysm wall predicts aneurysm growth or rupture during short-term follow-up, but not when adjusting for aneurysm size. • While gadolinium-enhanced aneurysm wall imaging is not recommended for short-term prediction of growth and rupture, it may hold potential for aneurysms smaller than 7 mm.
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Affiliation(s)
- Laura T van der Kamp
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht University, University Medical Center Utrecht, room number G3-201, Postbox 85500, 3508, Utrecht, GA, The Netherlands.
| | - Myriam Edjlali
- Department of Radiology, APHP, Hôpitaux Raymond-Poincaré and Ambroise Paré, DMU Smart Imaging, Laboratoire d'imagerie Biomédicale Multimodale (BioMaps), GH Université Paris-Saclay, Université Paris-Saclay, CEA, CNRS, Inserm, Service Hospitalier Frédéric Joliot, Orsay, France
| | - Olivier Naggara
- Department of Neuroradiology, Université de Paris, IMABRAIN-INSERM-UMR1266, DHU-Neurovasc, GHU Paris, Centre Hospitalier Sainte-Anne, Paris, France
| | - Toshinori Matsushige
- Department of Neurosurgery and Interventional Neuroradiology, Hiroshima City Asa Citizens Hospital, Hiroshima, Japan
| | - Diederik O Bulters
- Department of Neurosurgery, University Hospital Southampton, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Ronneil Digpal
- Department of Neurosurgery, University Hospital Southampton, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Chengcheng Zhu
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA
| | - David Saloner
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Peng Hu
- Department of Neurosurgery, Capital Medical University Xuanwu Hospital, Capital Medical University, Bejing, China
| | - Xiaodong Zhai
- Department of Neurosurgery, Capital Medical University Xuanwu Hospital, Capital Medical University, Bejing, China
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
| | - Bing Tian
- Department of Radiology, Changhai Hospital, Shanghai, China
| | - Shigeyuki Sakamoto
- Department of Neurosurgery and Interventional Neuroradiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Qichang Fu
- Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ynte M Ruigrok
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht University, University Medical Center Utrecht, room number G3-201, Postbox 85500, 3508, Utrecht, GA, The Netherlands
| | - Huilin Zhao
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huijun Chen
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Bejing, China
| | - Gabriel J E Rinkel
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht University, University Medical Center Utrecht, room number G3-201, Postbox 85500, 3508, Utrecht, GA, The Netherlands
| | - Irene C van der Schaaf
- Department of Radiology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Mervyn D I Vergouwen
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht University, University Medical Center Utrecht, room number G3-201, Postbox 85500, 3508, Utrecht, GA, The Netherlands
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17
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Andre JB, Oztek MA, Anzai Y, Wilson GJ, Mossa-Basha M, Hippe DS, Hoff MN, Cross DJ, Minoshima S. Evaluation of 3-dimensional stereotactic surface projection rendering of arterial spin labeling data in a clinical cohort. J Neuroimaging 2023; 33:933-940. [PMID: 37695098 DOI: 10.1111/jon.13153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 08/18/2023] [Accepted: 08/28/2023] [Indexed: 09/12/2023] Open
Abstract
BACKGROUND AND PURPOSE To assess the feasibility of 3-dimensional stereotactic surface projection (3D-SSP) as applied to arterial spin labeling (ASL) in a clinical pilot study. METHODS A retrospective sample of 10 consecutive patients who underwent ASL as part of a clinically indicated MR examination was collected during this pilot study. Five additional subjects with normal cerebral perfusion served as a control group. Following voxel-wise M0-correction, cerebral blood flow (CBF) quantification, and stereotactic anatomic standardization, voxel-wise CBF from an individual's ASL dataset was extracted to a set of predefined surface pixels (3D-SSP). A normal database was created from averaging the extracted CBF datasets of the control group. Patients' datasets were compared individually with the normal database by calculating a Z-score on a pixel-by-pixel basis and were displayed in 3D-SSP views for visual inspection. Independent, two-expert reader assessment, using a 3-point scale, compared standard quantitative CBF images to the 3D-SSP maps. RESULTS Patterns and severities of regionally reduced CBF were identified, by both independent readers, in the 3D-SSP maps. Reader assessment demonstrated preference for 3D-SSP over traditionally displayed standard quantitative CBF images in three of four evaluated imaging metrics (p = .026, .031, and .013, respectively); 3D-SSP maps were never found to be inferior to the standard quantitative CBF images. CONCLUSIONS Three-dimensional SSP maps are feasible in a clinical population and enable quantitative data extraction and localization of perfusion abnormalities by means of stereotactic coordinates in a condensed display. The proposed method is a promising approach for interpreting cerebrovascular pathophysiology.
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Affiliation(s)
- Jalal B Andre
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Murat Alp Oztek
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Yoshimi Anzai
- Department of Radiology, University of Utah, Salt Lake City, Utah, USA
| | - Gregory J Wilson
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Daniel S Hippe
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Michael N Hoff
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Donna J Cross
- Department of Radiology, University of Utah, Salt Lake City, Utah, USA
| | - Satoshi Minoshima
- Department of Radiology, University of Utah, Salt Lake City, Utah, USA
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18
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Zhu C, Wang Y, Mossa-Basha M. Comprehensive evaluation of cerebral aneurysm instability biomarkers in a large-scale longitudinal Chinese cohort. Sci Bull (Beijing) 2023; 68:2142-2144. [PMID: 37620231 DOI: 10.1016/j.scib.2023.08.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Affiliation(s)
- Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle WA 98195, USA.
| | - Yuting Wang
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China.
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, Seattle WA 98195, USA
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19
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Wu G, Zhu C, Wang H, Fu D, Lu X, Cao C, Zhang X, Zhu J, Huang L, Mossa-Basha M, Xia S. Co-existing intracranial and extracranial carotid atherosclerosis predicts large-artery atherosclerosis stroke recurrence: a single-center prospective study utilizing combined head-and-neck vessel wall imaging. Eur Radiol 2023; 33:6970-6980. [PMID: 37081300 PMCID: PMC10527495 DOI: 10.1007/s00330-023-09654-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 01/15/2023] [Accepted: 03/09/2023] [Indexed: 04/22/2023]
Abstract
OBJECTIVES Intracranial and extracranial plaque features on high-resolution vessel wall imaging (HR-VWI) are associated with large-artery atherosclerosis (LAA) stroke recurrence. However, most studies have focused on a single vascular bed, and the prognostic value of combined intracranial and extracranial plaque features has yet to be studied. This study aimed to investigate the roles of plaque features, plaque number, and co-existing atherosclerosis in predicting stroke recurrence, utilizing combined head-and-neck HR-VWI. METHODS From September 2016 to March 2020, participants with acute LAA ischemic strokes were prospectively enrolled and underwent combined head-and-neck HR-VWI. The participants were followed for stroke recurrence for at least 12 months or until a subsequent event occurred. The imaging features at baseline, including conventional and histogram plaque features, plaque number, and co-existing atherosclerosis, were evaluated. Univariable Cox regression analysis and the least absolute shrinkage and selection operator (lasso) method were used for variable screening. Multivariable Cox regression analyses were used to determine the independent risk factors of stroke recurrence. RESULTS A total of 97 participants (59 ± 12 years, 63 men) were followed for a median of 30.9 months, and 21 participants experienced recurrent strokes. Multivariable Cox analysis identified co-existing intracranial high signal on T1-weighted fat-suppressed images (HST1) and extracranial carotid atherosclerosis (HR, 6.12; 95% CI, 2.52-14.82; p = 0.001) as an independent imaging predictor of stroke recurrence. CONCLUSION Co-existing intracranial HST1 and extracranial carotid atherosclerosis independently predicted LAA stroke recurrence. Combined head-and-neck HR-VWI is a promising technique for atherosclerosis imaging. CLINICAL RELEVANCE STATEMENT This prospective study using combined head-and-neck HR-VWI highlighted the necessity of both intracranial culprit plaque evaluation and multi-vascular bed assessment, adding value to the prediction of stroke recurrence. KEY POINTS • This study highlighted the necessity of both intracranial culprit plaque evaluation and multi-vascular bed assessment, adding value to the prediction of stroke recurrence. • This prospective study using combined head-and-neck HR-VWI found co-existing intracranial HST1 and extracranial carotid atherosclerosis to be independent predictors of stroke recurrence.
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Affiliation(s)
- Gemuer Wu
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China
- Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010050, China
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, 325 9Th Ave, Seattle, WA, 98104, USA
| | - Huiying Wang
- The School of Medicine, Nankai University, 94 Weijin Road, Tianjin, 300071, China
| | - Dingwei Fu
- Department of Radiology, The Second Affiliated Hospital of Wannan Medical College, 10 Kangfu Road, Jinghu District, Wuhu, 241000, China
| | - Xiudi Lu
- Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, 300381, China
| | - Chen Cao
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin, 300350, China
| | | | - Jinxia Zhu
- MR Collaboration, Siemens Healthineers Ltd., Beijing, China
| | - Lixiang Huang
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, 325 9Th Ave, Seattle, WA, 98104, USA
| | - Shuang Xia
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China.
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20
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Nguyen MH, Swensen SN, Colbert CM, Amin AG, Sponseller PA, Melancon D, Schaub SK, Tseng YD, Blau MH, Halasz LM, Yang JT, Rengan R, Bloch C, Mossa-Basha M, Hofstetter CP, Lo SS. Dosimetric Impact of Radiolucent Carbon Fiber Hardware for Post-Operative Spine Stereotactic Body Radiation Therapy. Int J Radiat Oncol Biol Phys 2023; 117:e140-e141. [PMID: 37784713 DOI: 10.1016/j.ijrobp.2023.06.950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The spine is the most common site of osseous metastases. In the non-operative setting, there is growing support for stereotactic body radiation therapy (SBRT) over conventional radiation therapy for improved pain relief and local control. Hybrid therapy consisting of separation surgery and post-operative SBRT is considered in patients with biomechanical instability and epidural cord compression. Surgery traditionally requires titanium (Ti) implants, which introduce artifacts on post-operative imaging in addition to increased uncertainty and beam attenuation. Use of radiolucent carbon fiber reinforced polyetheretherketone (CFR-PEEK) hardware has been shown to provide safe and comparable surgical outcomes as compared to Ti. Our primary objective is to assess the dosimetric impact of Ti versus carbon fiber implants in spine SBRT. MATERIALS/METHODS Single institution retrospective series of post-operative spine SBRT from 2019-2020. Re-irradiation cases were excluded. The electronic medical record and treatment planning systems (TPS) were queried. Dosimetric analyses compared original Ti plans with reoptimized plans, replacing Ti hardware electronic density with carbon fiber. Maintaining clinical goals, dose calculations were performed in a treatment planning system using a collapsed cone algorithm. All treatments used step and shoot intensity modulated radiation therapy to avoid beam angles with significant metal along the beam path. Metallic artifacts were contoured and assigned the appropriate tissue density. A D'Agostino-Pearson test was used to assess data for normality. We used paired Student's t-tests to compare three dosimetric outcomes in the setting of Ti and carbon fiber implants. Planning target volume (PTV) coverage was represented by the volume receiving at least the prescribed dose (%), the maximum point dose (dmax, cGy) to the spinal cord planning risk volume (PRV, 2 mm margin), and the overall hot spot intensity (plan dmax). RESULTS A series of 14 consecutive SBRT cases were evaluated (dose 27-30 Gy in 3-5 fractions). All dosimetric outcomes were normally distributed (p>0.05). We found a statistically significant difference in PTV coverage between the original SBRT treatment plans with Ti hardware (mean 85.1 ± 7.9%) and reoptimized carbon fiber hardware (87.3 ± 6.6%; p = 0.002). There was no significant difference in mean spinal cord PRV dmax between Ti and carbon fiber plans (1846 ± 483 cGy vs. 1842 ± 495 cGy; p>0.05). We observed a nonsignificant increase in mean overall dmax from 3932 ± 416 cGy in the Ti cohort to 4111 ± 906 cGy in the carbon fiber cohort (p>0.05). CONCLUSION Carbon fiber implants provide a significant increase in SBRT target coverage, without impacting the overall plan and spinal cord PRV dmax in this retrospective series. In addition to improved post-operative imaging and reduced uncertainty, carbon fiber hardware may offer dosimetric advantages as compared to traditional Ti spinal implants, and warrants further investigation in a larger cohort.
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Affiliation(s)
- M H Nguyen
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - S N Swensen
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - C M Colbert
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - A G Amin
- Department of Neurological Surgery, University of Washington, Seattle, WA
| | - P A Sponseller
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - D Melancon
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - S K Schaub
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - Y D Tseng
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - M H Blau
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - L M Halasz
- Department of Radiation Oncology, University of Washington/ Fred Hutchinson Cancer Center, Seattle, WA
| | - J T Yang
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - R Rengan
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - C Bloch
- Department of Radiation Oncology, University of Washington, Seattle, WA
| | - M Mossa-Basha
- Department of Radiology, University of Washington, Seattle, WA
| | - C P Hofstetter
- Department of Neurological Surgery, University of Washington, Seattle, WA
| | - S S Lo
- Department of Radiation Oncology, University of Washington, Seattle, WA
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21
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Liu Q, Li J, Zhang Y, Leng X, Mossa-Basha M, Levitt MR, Wang S, Zhu C. Association of calcium channel blockers with lower incidence of intracranial aneurysm rupture and growth in hypertensive patients. J Neurosurg 2023; 139:651-660. [PMID: 36708539 DOI: 10.3171/2022.12.jns222428] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 12/19/2022] [Indexed: 01/28/2023]
Abstract
OBJECTIVE Calcium channel blockers (CCBs) are antihypertensive agents with potential vascular protection effects. This study investigated whether CCB usage was associated with a lower incidence of unruptured intracranial aneurysm (UIA) instability (growth and rupture) in patients with hypertension. METHODS UIA patients were included in two prospective, multicenter cohort studies (IARP-CP and 100-Project cohorts). All patients received conservative treatment and were regularly followed up every 6 months by CT angiography for 2 years. Patients taking CCBs at least 5 days per week were considered CCB users; otherwise, they were considered non-CCB users. The primary endpoint was UIA instability (rupture, growth of > 20% and/or 1 mm in any dimension, or appearance of a new dome irregularity on imaging follow-up). RESULTS A total of 392 UIA patients with hypertension (191 male, 201 female; median age 57 years) were included with a mean follow-up duration of 21.7 ± 5.2 months. The primary endpoint was met in 81 patients (20.7%) during follow-up, including 68 patients with aneurysms that grew and 13 with aneurysms that ruptured. CCB users had a lower UIA instability rate than non-CCB users (27/237 [11.4%] vs 54/155 [34.8%], p < 0.001). Multivariable Cox analysis demonstrated that CCB use was associated with a lower risk of UIA instability (HR 0.37, 95% CI 0.22-0.61; p < 0.001). The protective effect of CCB use was consistent in patients taking a single antihypertensive agent (HR 0.22, 95% CI 0.12-0.40; p < 0.001) and patients taking > 1 antihypertensive agent (HR 0.42, 95% CI 0.20-0.87; p = 0.021). For patients with controlled hypertension, CCB use was still associated with a lower risk of UIA instability (HR 0.22, 95% CI 0.09-0.52; p = 0.001). CONCLUSIONS In UIA patients with hypertension, CCB use was associated with a lower incidence of aneurysm instability.
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Affiliation(s)
- Qingyuan Liu
- 3Department of Neurosurgery, Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing, China
| | - Jiangan Li
- Departments of1Neurosurgery and
- 2Emergency Medicine, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, Jiangsu, China
| | - Yisen Zhang
- 3Department of Neurosurgery, Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing, China
- 5Beijing Neurosurgical Institution, Capital Medical University, Beijing, China; and
| | - Xinyi Leng
- 6Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | | | - Michael R Levitt
- 7Neurological Surgery, University of Washington, Seattle, Washington
| | - Shuo Wang
- Departments of1Neurosurgery and
- 3Department of Neurosurgery, Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing, China
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22
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Sui B, Sannananja B, Zhu C, Balu N, Eisenmenger L, Baradaran H, Edjlali M, Romero JM, Rajiah PS, Li R, Mossa-Basha M. Report from the society of magnetic resonance angiography: clinical applications of 7T neurovascular MR in the assessment of intracranial vascular disease. J Neurointerv Surg 2023:jnis-2023-020668. [PMID: 37652689 PMCID: PMC10902184 DOI: 10.1136/jnis-2023-020668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 08/16/2023] [Indexed: 09/02/2023]
Abstract
In recent years, ultra-high-field magnetic resonance imaging (MRI) applications have been rapidly increasing in both clinical research and practice. Indeed, 7-Tesla (7T) MRI allows improved depiction of smaller structures with high signal-to-noise ratio, and, therefore, may improve lesion visualization, diagnostic capabilities, and thus potentially affect treatment decision-making. Incremental evidence emerging from research over the past two decades has provided a promising prospect of 7T magnetic resonance angiography (MRA) in the evaluation of intracranial vasculature. The ultra-high resolution and excellent image quality of 7T MRA allow us to explore detailed morphological and hemodynamic information, detect subtle pathological changes in early stages, and provide new insights allowing for deeper understanding of pathological mechanisms of various cerebrovascular diseases. However, along with the benefits of ultra-high field strength, some challenges and concerns exist. Despite these, ongoing technical developments and clinical oriented research will facilitate the widespread clinical application of 7T MRA in the near future. In this review article, we summarize technical aspects, clinical applications, and recent advances of 7T MRA in the evaluation of intracranial vascular disease. The aim of this review is to provide a clinical perspective for the potential application of 7T MRA for the assessment of intracranial vascular disease, and to explore possible future research directions implementing this technique.
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Affiliation(s)
- Binbin Sui
- Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Bhagya Sannananja
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Niranjan Balu
- Department of Radiology, University of Washington, Seattle, Washington, USA
- Vascular Imaging Lab, University of Washington School of Medicine, Seattle, Washington, USA
| | | | - Hediyeh Baradaran
- Department of Radiology & Imaging Sciences, University of Utah, Salt Lake City, Utah, USA
| | | | - Javier M Romero
- Department of Radiology, Division of Neuroradiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Rui Li
- Center for Biomedical Imaging Research, Tsinghua University, Beijing, China
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, Seattle, Washington, USA
- Vascular Imaging Lab, University of Washington School of Medicine, Seattle, Washington, USA
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23
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Li R, Zhou P, Kao E, Zhu C, Mossa-Basha M, Wang Y. Unilateral cerebral arterial tortuosity: Associated with aneurysm occurrence, but potentially inversely associated with aneurysm rupture. Eur J Radiol 2023; 165:110941. [PMID: 37354772 DOI: 10.1016/j.ejrad.2023.110941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/11/2023] [Accepted: 06/17/2023] [Indexed: 06/26/2023]
Abstract
PURPOSE To investigate the association of tortuosity of the main cerebral arteries with intracranial aneurysm (IA) occurrence and rupture. To investigate the relationship between arterial tortuosity and aneurysm morphology as well as conventional risk factors of vascular diseases. METHODS Three subject groups were analyzed in this study: Patients with ruptured IAs, patients with unruptured IAs, and healthy subjects. The groups were matched by sex and age using tendency score matching. Their intracranial magnetic resonance angiography (MRA) images were collected retrospectively. The intracranial arterial structures were segmented from the MRA images. Arterial tortuosity was measured and statistically compared between the different subject groups and different vessels. Correlation analysis was conducted between arterial tortuosity and clinical risk factors as well as aneurysm morphology. RESULTS 120 patients were included in the study (average age: 67.5 years; 60% female), 40 for each group after matching. The tortuosity of the aneurysm-bearing artery was significantly greater than that of the contralateral artery in both the ruptured and unruptured IA groups (p < 0.001). There was no significant association between clinical risk factors (history of hypertension, hyperlipidemia, diabetes, smoking, and alcohol use) and arterial tortuosity. There were significant negative correlations between aneurysm-bearing artery tortuosity and aneurysm morphological features such as maximal diameter (p = 0.0011), neck diameter (p < 0.0001), maximum height (p = 0.0024), and size ratio (p = 0.0269). CONCLUSION The occurrence of cerebral aneurysms correlates to increased unilateral arterial tortuosity, but the risk of aneurysm enlargement/rupturing decreases with greater arterial tortuosity. Abnormal tortuosity may be congenital as tortuosity has no clear connection with acquired common risk factors of vascular diseases.
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Affiliation(s)
- Ran Li
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Pengyu Zhou
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Evan Kao
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Chengcheng Zhu
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA
| | - Yuting Wang
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
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24
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Peret A, Romero-Sanchez G, Dabiri M, McNally JS, Johnson KM, Mossa-Basha M, Eisenmenger LB. MR Angiography of Extracranial Carotid Disease. Magn Reson Imaging Clin N Am 2023; 31:395-411. [PMID: 37414468 DOI: 10.1016/j.mric.2023.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
Magnetic resonance angiography sequences, such as time-of-flight and contrast-enhanced angiography, provide clear depiction of vessel lumen, traditionally used to evaluate carotid pathologic conditions such as stenosis, dissection, and occlusion; however, atherosclerotic plaques with a similar degree of stenosis may vary tremendously from a histopathological standpoint. MR vessel wall imaging is a promising noninvasive method to evaluate the content of the vessel wall at high spatial resolution. This is particularly interesting in the case of atherosclerosis as vessel wall imaging can identify higher risk, vulnerable plaques as well as has potential applications in the evaluation of other carotid pathologic conditions.
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Affiliation(s)
- Anthony Peret
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI 53705, USA
| | - Griselda Romero-Sanchez
- Department of Radiology, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran, Avenida Vasco de Quiroga No.15, Colonia Belisario Domínguez Sección XVI, Delegación Tlalpan C.P.14080, Ciudad de México, Mexico City, Mexico
| | - Mona Dabiri
- Radiology Department, Children's Medical Center, Tehran University of Medical Science, No 63, Gharib Avenue, Keshavarz Blv, Tehran 1419733151, Iran
| | - Joseph Scott McNally
- Department of Radiology, University of Utah, 50 N Medical Dr, Salt Lake City, UT 84132, USA
| | - Kevin M Johnson
- Department of Medical Physics, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI 53705, USA
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington School of Medicine, 1959 NE Pacific Street, Seattle, WA 98195, USA
| | - Laura B Eisenmenger
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI 53705, USA.
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25
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Romero JM, Mossa-Basha M. Imaging Approaches for Cerebrovascular Disease: The Latest and Greatest. Radiol Clin North Am 2023; 61:xv-xvi. [PMID: 36931770 DOI: 10.1016/j.rcl.2023.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Affiliation(s)
- Javier M Romero
- Harvard Medical School, Massachusetts General Hospital, Gray/Bigelow, 90 Blossom Street, Boston, MA 02114, USA.
| | - Mahmud Mossa-Basha
- University of Washington, University of Washington Medical Center, 1959 NE Pacific Street, Seattle, WA 98195, USA.
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26
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Abstract
Cryptogenic strokes are symptomatic cerebral ischemic infarcts without a clear etiology identified following standard diagnostic evaluation and currently account for 10% to 40% of stroke cases. Continued research is needed to identify and bridge gaps in knowledge of this stroke grouping. Vessel wall imaging has increasingly shown its utility in the diagnosis and characterization of various vasculopathies. Initial promising evidence suggests rational use of vessel wall imaging in stroke workup may unravel pathologies that otherwise would have been occult and further improve our understanding of underlying disease processes that can translate into improved patient outcomes and secondary stroke prevention.
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Affiliation(s)
- Bhagya Sannananja
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Road Northeast Suite BG20, Atlanta, GA 30322, USA
| | - Chengcheng Zhu
- Department of Radiology, University of Washington School of Medicine, 1959 NE Pacific St, Seattle, WA 98195, USA
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington School of Medicine, 1959 NE Pacific St, Seattle, WA 98195, USA.
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27
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Romero JM, Mossa-Basha M. Imaging of Cerebrovascular Disease. Radiol Clin North Am 2023. [DOI: 10.1016/s0033-8389(23)00076-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
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28
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Das S, Mossa-Basha M, Dey M, Hazra A, Pandit A, Das G, Dubey S, Ray BK. High-resolution vessel wall magnetic resonance imaging in intracranial vasculopathies: an experience from eastern India. Br J Radiol 2023; 96:20230114. [PMID: 37066831 PMCID: PMC10161925 DOI: 10.1259/bjr.20230114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/08/2023] [Accepted: 03/09/2023] [Indexed: 04/18/2023] Open
Abstract
OBJECTIVE To evaluate the role of high-resolution intracranial vessel wall imaging (HR-IVWI) in differentiation of various intracranial vasculopathies in addition to luminal and clinical imaging in the largest cohort of Indian stroke patients. METHODS A single-center, cross-sectional study was undertaken recruiting consecutive stroke or TIA patients presenting within a month of onset, with luminal irregularity/narrowing upstream from the stroke territory. The patients were initially classified into TOAST and Chinese ischemic stroke sub-classification (CISS) on the basis of clinical and luminal characteristics and reclassified again following incorporation of HR-IVWI findings. RESULTS In our cohort of 150 patients, additional use of HR-IVWI led to a 10.7 and 14% change in initial TOAST and CISS classification respectively (p < 0.001). In TOAST classification, 12 "undetermined aetiology" were reclassified into intracranial atherosclerotic disease (ICAD), 1 "undetermined aetiology" into CNS angiitis and 1 "undetermined aetiology" into arterial dissection. Similarly, in CISS 19 "undetermined aetiology" was reclassified into 16 large artery atherosclerosis (LAA) and 3 "other aetiology" consisting of one CNS angiitis, Moyamoya disease (MMD) and arterial dissection each. Two initial classification of MMD by CISS and TOAST were changed into ICAD. The observed change in diagnosis following incorporation of HR-IVWI was proportionately highest in ICAD (LAA) subgroup (TOAST-9.3%, CISS-12%). CONCLUSION Adjunctive use of HR-IVWI, to clinical and luminal assessment, can significantly improve diagnostic accuracy during evaluation of intracranial vasculopathies, with its greatest utility in diagnosing in ICAD, CNS angiitis and dissection. ADVANCES IN KNOWLEDGE HR-IVWI allows clearer etiological distinction of intracranial vasculopathies having therapeutic and prognostic implications.
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Affiliation(s)
- Shambaditya Das
- Department of Neurology, Bangur Institute of Neurosciences, Institute of Post Graduate Medical Education & Research, Kolkata, India
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, United States
| | - Mousam Dey
- Department of Radiology, Institute of Post Graduate Medical Education & Research, Kolkata, India
| | - Avijit Hazra
- Department of Pharmacology, Institute of Post Graduate Medical Education & Research, Kolkata, India
| | - Alak Pandit
- Department of Neurology, Bangur Institute of Neurosciences, Institute of Post Graduate Medical Education & Research, Kolkata, India
| | - Gautam Das
- Department of Neurology, Bangur Institute of Neurosciences, Institute of Post Graduate Medical Education & Research, Kolkata, India
| | - Souvik Dubey
- Department of Neurology, Bangur Institute of Neurosciences, Institute of Post Graduate Medical Education & Research, Kolkata, India
| | - Biman Kanti Ray
- Department of Neurology, Bangur Institute of Neurosciences, Institute of Post Graduate Medical Education & Research, Kolkata, India
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29
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Tian B, Zhu C, Tian X, Kang Q, Shao C, Mossa-Basha M, Lu J, Saloner DA. Baseline vessel wall magnetic resonance imaging characteristics associated with in-stent restenosis for intracranial atherosclerotic stenosis. J Neurointerv Surg 2023; 15:288-291. [PMID: 35232754 PMCID: PMC9985703 DOI: 10.1136/neurintsurg-2021-018473] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 01/30/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND Imaging factors, specifically baseline plaque features on high-resolution magnetic resonance vessel wall imaging (HR-VWI) that could be associated with in-stent restenosis (ISR), are still unknown. We aimed to investigate the presenting clinical and plaque features on HR-VWI associated with ISR. METHODS Sixty-four patients with intracranial stent placement for intracranial atherosclerotic stenosis who had pre- and post-contrast T1-weighted HR-VWI on 3.0T prior to stenting were included in this analysis. Student's t-test, Mann-Whitney U test, χ2 test, or the Cochran-Mantel-Haenszel (CMH) test were used to compare clinical and baseline HR-VWI characteristics of the patients between the ISR and non-ISR groups. Univariable and multivariable logistic analysis were used to test the clinical and imaging factors associated with ISR. RESULTS Among the 64 patients, 9 patients (14.06%) developed ISR during the 2-year follow-up period. Plaque burden (median 0.89 vs 0.92, P=0.04), minimum lumen area (0.009 cm2 vs 0.006 cm2, P=0.04), plaque eccentricity (55.6% vs 89.1%, P<0.01), enhancement ratio (1.36 vs 0.84, P<0.01), and enhancement involvement (type 2 represents ≥50% cross-sectional wall involvement; 100% vs 63.6%, P=0.03) all significantly differed between patients with and without ISR. Multivariable analysis revealed that lower frequency of plaque eccentricity (OR 0.18, 95% CI 0.04 to 0.96, P=0.04) and higher enhancement ratio (OR 3.57, 95% CI 1.02 to 12.48, P=0.04) were independently associated with ISR. CONCLUSIONS Preliminary findings showed that ISR was independently associated with plaque concentricity and higher enhancement ratios on pre-stenting HR-VWI for patients with symptomatic intracranial atherosclerotic stenosis.
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Affiliation(s)
- Bing Tian
- Radiology, Changhai Hospital, Shanghai, China
| | - Chengcheng Zhu
- Radiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Xia Tian
- Radiology, Changhai Hospital, Shanghai, China
| | - Qinqin Kang
- Radiology, Changhai Hospital, Shanghai, China
| | | | - Mahmud Mossa-Basha
- Radiology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Jianping Lu
- Radiology, Changhai Hospital, Shanghai, China
| | - David A Saloner
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
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30
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Wangaryattawanich P, Rutman AM, Petcharunpaisan S, Mossa-Basha M. Incidental findings on brain magnetic resonance imaging (MRI) in adults: a review of imaging spectrum, clinical significance, and management. Br J Radiol 2023; 96:20220108. [PMID: 35522780 PMCID: PMC9975529 DOI: 10.1259/bjr.20220108] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 04/19/2022] [Accepted: 04/29/2022] [Indexed: 01/27/2023] Open
Abstract
Utilization of brain MRI has dramatically increased in recent decades due to rapid advancement in imaging technology and improving accessibility. As a result, radiologists increasingly encounter findings incidentally discovered on brain MRIs which are performed for unrelated indications. Some of these findings are clinically significant, necessitating further investigation or treatment and resulting in increased costs to healthcare systems as well as increased patient anxiety. Moreover, management of these incidental findings poses a significant challenge for referring physicians. Therefore, it is important for interpreting radiologists to know the prevalence, clinical consequences, and appropriate management of these findings. There is a wide spectrum of incidental findings on brain MRI such as asymptomatic brain infarct, age-related white matter changes, microhemorrhages, intracranial tumors, intracranial cystic lesions, and anatomic variants. This article provides a narrative review of important incidental findings encountered on brain MRI in adults with a focus on prevalence, clinical implications, and recommendations on management of these findings based on current available data.
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Affiliation(s)
| | | | | | - Mahmud Mossa-Basha
- Department of Radiology, University of North Carolina, Chapel Hill, NC, United States
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31
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Rutman AM, Wangaryattawanich P, Aksakal M, Mossa-Basha M. Incidental vascular findings on brain magnetic resonance angiography. Br J Radiol 2023; 96:20220135. [PMID: 35357891 PMCID: PMC9975521 DOI: 10.1259/bjr.20220135] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 03/21/2022] [Accepted: 03/24/2022] [Indexed: 01/27/2023] Open
Abstract
Given the ever-increasing utilization of magnetic resonance angiography, incidental vascular findings are increasingly discovered on exams performed for unconnected indications. Some incidental lesions represent pathology and require further intervention and surveillance, such as aneurysm, certain vascular malformations, and arterial stenoses or occlusions. Others are benign or represent normal anatomic variation, and may warrant description, but not further work-up. This review describes the most commonly encountered incidental findings on magnetic resonance angiography, their prevalence, clinical implications, and any available management recommendations.
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Affiliation(s)
| | | | - Mehmet Aksakal
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, United States
| | - Mahmud Mossa-Basha
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
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32
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Diab R, Chang D, Zhu C, Levitt MR, Aksakal M, Zhao HL, Huynh TJ, Romero-Sanchez G, Mossa-Basha M. Advanced cross-sectional imaging of cerebral aneurysms. Br J Radiol 2023; 96:20220686. [PMID: 36400095 PMCID: PMC10997029 DOI: 10.1259/bjr.20220686] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 10/05/2022] [Accepted: 11/07/2022] [Indexed: 11/21/2022] Open
Abstract
While the rupture rate of cerebral aneurysms is only 1% per year, ruptured aneurysms are associated with significant morbidity and mortality, while aneurysm treatments have their own associated risk of morbidity and mortality. Conventional markers for aneurysm rupture include patient-specific and aneurysm-specific characteristics, with the development of scoring systems to better assess rupture risk. These scores, however, rely heavily on aneurysm size, and their accuracy in assessing risk in smaller aneurysms is limited. While the individual risk of rupture of small aneurysms is low, due to their sheer number, the largest proportion of ruptured aneurysms are small aneurysms. Conventional imaging techniques are valuable in characterizing aneurysm morphology; however, advanced imaging techniques assessing the presence of inflammatory changes within the aneurysm wall, hemodynamic characteristics of blood flow within aneurysm sacs, and imaging visualization of irregular aneurysm wall motion have been used to further determine aneurysm instability that otherwise cannot be characterized by conventional imaging techniques. The current manuscript reviews conventional imaging techniques and their value and limitations in cerebral aneurysm characterization, and evaluates the applications, value and limitations of advanced aneurysm imaging and post-processing techniques including intracranial vessel wall MRA, 4D-flow, 4D-CTA, and computational fluid dynamic simulations.
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Affiliation(s)
- Rawan Diab
- American University of Beirut School of
Medicine, Beirut, Lebanon
| | - Dandan Chang
- Department of Radiology, University of
Washington, Seattle, United States
| | - Chengcheng Zhu
- Department of Radiology, University of
Washington, Seattle, United States
| | | | - Mehmet Aksakal
- Department of Radiology, University of
Washington, Seattle, United States
| | - Hui-Lin Zhao
- Deparment of Radiology, Renji Hospital,
Shanghai, China
| | - Thien J. Huynh
- Department of Radiology, Mayo
Clinic-Jacksonville, Jacksonville, United States
| | - Griselda Romero-Sanchez
- Department of Radiology, Instituto Nacional de Ciencias
Medicas y Nutricion Salvador Zubiran, Mexico City,
Mexico
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Zhang J, Li X, Zhao B, Zhang J, Sun B, Wang L, Tian J, Mossa-Basha M, Kim LJ, Yan J, Wan J, Xu J, Zhou Y, Zhao H, Zhu C. Irregular pulsation of aneurysmal wall is associated with symptomatic and ruptured intracranial aneurysms. J Neurointerv Surg 2023; 15:91-96. [PMID: 35169029 DOI: 10.1136/neurintsurg-2021-018381] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 01/23/2022] [Indexed: 12/16/2022]
Abstract
BACKGROUND Irregular pulsation of aneurysmal wall detected by four-dimensional CT angiography (4D-CTA) has been described as a novel imaging feature of aneurysm vulnerability. Our study aimed to investigate whether irregular pulsation is associated with symptomatic and ruptured intracranial aneurysms (IAs). METHODS This retrospective study included consecutive patients with IAs who underwent 4D-CTA from January 2018 to July 2021. IAs were categorized as asymptomatic, symptomatic or ruptured. The presence of irregular pulsation (defined as a temporary focal protuberance ≥1 mm on more than three successive frames) was identified on 4D-CTA movies. Univariate and multivariate analyses were used to identify the parameters associated with aneurysm symptomatic or ruptured status. RESULTS Overall, 305 patients with 328 aneurysms (37 ruptured, 60 symptomatic, 231 asymptomatic) were included. Ruptured and symptomatic IAs were significantly larger in size compared with asymptomatic IAs (median (IQR) 6.5 (5.1-8.3) mm, 7.0 (5.5-9.7) mm vs 4.7 (3.8-6.3) mm, p=0.001 and p<0.001, respectively) and had more irregular pulsations (70.3%, 78.3% vs 28.1%, p<0.05). Irregular pulsation (OR 5.03, 95% CI 2.83 to 8.92; p<0.001) was independently associated with aneurysm symptomatic/ruptured status in the whole population. With unruptured IAs, both irregular pulsation (OR 6.31, 95% CI 3.02 to 13.20; p<0.001) and size (OR 1.17, 95% CI 1.03 to 1.32; p=0.015) were independently associated with the symptoms. The combination of irregular pulsation and size increased the accuracy over size alone in identifying symptomatic aneurysms (AUC 0.81 vs 0.77, p=0.007) in unruptured IAs. CONCLUSION In a large cohort of patients with IAs detected by 4D-CTA, the presence of irregular pulsation was independently associated with aneurysm symptomatic and ruptured status.
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Affiliation(s)
- Jianjian Zhang
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Li
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bing Zhao
- Department of Neurosurgery, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jin Zhang
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Beibei Sun
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lingling Wang
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiaqi Tian
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Louis J Kim
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - Jing Yan
- Research Collaboration, Canon Medical Systems (China) Co., LTD, Shanghai, China
| | - Jieqing Wan
- Department of Neurosurgery, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianrong Xu
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Zhou
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huilin Zhao
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle, Washington, USA
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Mossa-Basha M, Yuan C, Wasserman BA, Mikulis DJ, Hatsukami TS, Balu N, Gupta A, Zhu C, Saba L, Li D, DeMarco JK, Lehman VT, Qiao Y, Jager HR, Wintermark M, Brinjikji W, Hess CP, Saloner DA. Survey of the American Society of Neuroradiology Membership on the Use and Value of Extracranial Carotid Vessel Wall MRI. AJNR Am J Neuroradiol 2022; 43:1756-1761. [PMID: 36423951 DOI: 10.3174/ajnr.a7720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 10/10/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND PURPOSE Extracranial vessel wall MRI (EC-VWI) contributes to vasculopathy characterization. This survey study investigated EC-VWI adoption by American Society of Neuroradiology (ASNR) members and indications and barriers to implementation. MATERIALS AND METHODS The ASNR Vessel Wall Imaging Study Group survey on EC-VWI use, frequency, applications, MR imaging systems and field strength used, protocol development approaches, vendor engagement, reasons for not using EC-VWI, ordering provider interest, and impact on clinical care was distributed to the ASNR membership between April 2, 2019, to August 30, 2019. RESULTS There were 532 responses; 79 were excluded due to minimal, incomplete response and 42 due to redundant institutional responses, leaving 411 responses. Twenty-six percent indicated that their institution performed EC-VWI, with 66.3% performing it ≤1-2 times per month, most frequently on 3T MR imaging, with most using combined 3D and 2D protocols. Protocols most commonly included pre- and postcontrast T1-weighted imaging, TOF-MRA, and contrast-enhanced MRA. Inflammatory vasculopathy (63.3%), plaque vulnerability assessments (61.1%), intraplaque hemorrhage (61.1%), and dissection-detection/characterization (51.1%) were the most frequent applications. For those not performing EC-VWI, the reasons were a lack of ordering provider interest (63.9%), lack of radiologist time/interest (47.5%) or technical support (41.4%) for protocol development, and limited interpretation experience (44.9%) and knowledge of clinical applications (43.7%). Reasons given by 46.9% were that no providers approached radiology with interest in EC-VWI. If barriers were overcome, 51.1% of those not performing EC-VWI indicated they would perform it, and 40.6% were unsure; 48.6% did not think that EC-VWI had impacted patient management at their institution. CONCLUSIONS Only 26% of neuroradiology groups performed EC-VWI, most commonly due to limited clinician interest. Improved provider and radiologist education, protocols, processing techniques, technical support, and validation trials could increase adoption.
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Affiliation(s)
- M Mossa-Basha
- From the Department of Radiology (M.M.-B.), University of North Carolina, Chapel Hill, North Carolina .,Departments of Radiology (M.M.-B., N.B., C.Z.)
| | - C Yuan
- Department of Radiology (C.Y.), University of Utah, Salt Lake City, Utah
| | - B A Wasserman
- Department of Radiology (B.A.W.), University of Maryland, Baltimore, Maryland.,Department of Radiology (B.A.W., Y.Q.), Johns Hopkins University, Baltimore, Maryland
| | - D J Mikulis
- Joint Department of Medical Imaging (D.J.M.), The University Health Network and the University of Toronto, Toronto, Ontario, Canada
| | - T S Hatsukami
- Surgery (T.S.H.), University of Washington, Seattle, Washington
| | - N Balu
- Departments of Radiology (M.M.-B., N.B., C.Z.)
| | - A Gupta
- Department of Radiology (A.G.), Weill Cornell Medicine, New York, New York
| | - C Zhu
- Departments of Radiology (M.M.-B., N.B., C.Z.)
| | - L Saba
- Department of Radiology (L.S.), University of Cagliari, Cagliari, Sardinia, Italy
| | - D Li
- Biomedical Imaging Research Institute (D.L.), Cedars-Sinai Medical Center, Los Angeles, California
| | - J K DeMarco
- Department of Radiology (J.K.D.), Walter Reed National Military Medical Center, Bethesda, Maryland and Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - V T Lehman
- Department of Radiology (V.T.L., W.B.), Mayo Clinic, Rochester, Minnesota
| | - Y Qiao
- Department of Radiology (B.A.W., Y.Q.), Johns Hopkins University, Baltimore, Maryland
| | - H R Jager
- Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, University College London, Queen Square Institute of Neurology, London, UK
| | - M Wintermark
- Department of Neuroradiology (M.W.), MD Anderson Cancer Institute, Houston, Texas
| | - W Brinjikji
- Department of Radiology (V.T.L., W.B.), Mayo Clinic, Rochester, Minnesota
| | - C P Hess
- Department of Radiology and Biomedical Imaging (C.P.H., D.A.S.), University of California, San Francisco, San Francisco, California
| | - D A Saloner
- Department of Radiology and Biomedical Imaging (C.P.H., D.A.S.), University of California, San Francisco, San Francisco, California
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Wang Y, Mossa-Basha M, Zhu C. Spontaneously Ruptured Aortic Plaque: A Potential Cause for Frequently Observed Cerebral Infarct? JACC Asia 2022; 2:760-762. [PMID: 36444318 PMCID: PMC9699997 DOI: 10.1016/j.jacasi.2022.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Affiliation(s)
- Yuting Wang
- Department of Radiology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Mahmud Mossa-Basha
- Department of Radiology, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle, Washington, USA
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Sun J, Mossa-Basha M, Canton G, Balu N, Guo Y, Chen L, Xu D, Hippe DS, Pimentel KD, Hatsukami TS, Yuan C. Characterization of non-stenotic plaques in intracranial arteries with multi-contrast, multi-planar vessel wall image analysis. J Stroke Cerebrovasc Dis 2022; 31:106719. [PMID: 35994880 PMCID: PMC9509474 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106719] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 08/11/2022] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVES Non-stenotic plaques have been observed in intracranial arteries but are less understood compared to those in coronary and carotid arteries. We sought to compare plaque distribution and morphology between stenotic and non-stenotic intracranial plaques with MR vessel wall imaging (VWI) and quantitative image analysis. MATERIALS AND METHODS Twenty-four patients with intracranial arterial stenosis or luminal irregularity on clinical imaging were scanned with a multi-contrast VWI protocol. Plaques were detected as focal wall thickening on co-registered multiplanar reformats of multi-contrast VWI, with assessment of the location and morphology. TOF-MRA was independently reviewed for any appreciable stenosis using the WAISD criteria. RESULTS Across 504 arterial segments, a total of 80 plaques were detected, including 23 (29%) with stenosis on TOF-MRA, 56 (70%) without, and 1 (1%) not covered by TOF-MRA. Plaques involving the ICA were more likely to be non-stenotic than those involving other segments (80% versus 55%, p = 0.030) whereas the basilar artery (40%) and PCA (33%) had the lowest proportions of non-stenotic plaques. Maximum wall thickness, indicative of plaque burden, correlated poorly with degree of stenosis (p = 0.10) and overlapped substantially between stenotic and non-stenotic plaques (1.9 [1.5, 2.4] versus 2.0 [1.5, 2.2] mm, p = 0.074). CONCLUSIONS Intracranial plaques without appreciable stenosis on TOF-MRA represent a large proportion of lesions throughout arterial segments but disproportionately affect the ICA. Morphological characterization of plaques with and without stenosis shows that luminal stenosis is a poor indicator of the underlying burden of intracranial atherosclerosis.
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Affiliation(s)
- Jie Sun
- Department of Radiology, University of Washington, 850 Republican St, Seattle, WA 98109, United States.
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, 850 Republican St, Seattle, WA 98109, United States
| | - Gador Canton
- Department of Radiology, University of Washington, 850 Republican St, Seattle, WA 98109, United States
| | - Niranjan Balu
- Department of Radiology, University of Washington, 850 Republican St, Seattle, WA 98109, United States
| | - Yin Guo
- Department of Bioengineering, University of Washington, United States
| | - Li Chen
- Department of Bioengineering, University of Washington, United States
| | - Dongxiang Xu
- Department of Radiology, University of Washington, 850 Republican St, Seattle, WA 98109, United States
| | - Daniel S Hippe
- Clinical Research Division, Fred Hutchinson Cancer Research Center, United States
| | - Kristi D Pimentel
- Department of Radiology, University of Washington, 850 Republican St, Seattle, WA 98109, United States
| | | | - Chun Yuan
- Department of Radiology, University of Washington, 850 Republican St, Seattle, WA 98109, United States; Department of Bioengineering, University of Washington, United States
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Sarrami AH, Bass DI, Rutman AM, Alexander MD, Aksakal M, Zhu C, Levitt MR, Mossa-Basha M. Idiopathic intracranial hypertension imaging approaches and the implications in patient management. Br J Radiol 2022; 95:20220136. [PMID: 35522777 PMCID: PMC10162046 DOI: 10.1259/bjr.20220136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 04/05/2022] [Accepted: 04/27/2022] [Indexed: 11/05/2022] Open
Abstract
Idiopathic intracranial hypertension (IIH) represents a clinical disease entity without a clear etiology, that if left untreated, can result in severe outcomes, including permanent vision loss. For this reason, early diagnosis and treatment is necessary. Historically, the role of cross-sectional imaging has been to rule out secondary or emergent causes of increased intracranial pressure, including tumor, infection, hydrocephalus, or venous thrombosis. MRI and MRV, however, can serve as valuable imaging tools to not only rule out causes for secondary intracranial hypertension but can also detect indirect signs of IIH resultant from increased intracranial pressure, and demonstrate potentially treatable sinus venous stenosis. Digital subtraction venographic imaging also plays a central role in both diagnosis and treatment, providing enhanced anatomic delineation and temporal flow evaluation, quantitative assessment of the pressure gradient across a venous stenosis, treatment guidance, and immediate opportunity for endovascular therapy. In this review, we discuss the multiple modalities for imaging IIH, their limitations, and their contributions to the management of IIH.
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Affiliation(s)
- Amir Hossein Sarrami
- Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, United States
| | - David I. Bass
- Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, United States
| | | | - Matthew D Alexander
- Department of Radiology, University of Utah, Salt Lake City, Utah, United States
| | - Mehmet Aksakal
- Department of Radiology, University of Washington, Seattle, United States
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle, United States
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Mossa-Basha M, Zhu C, Yuan C, Saba L, Saloner DA, Edjlali M, Stence NV, Mandell DM, Romero JM, Qiao Y, Mikulis DJ, Wasserman BA. Survey of the American Society of Neuroradiology Membership on the Use and Value of Intracranial Vessel Wall MRI. AJNR Am J Neuroradiol 2022; 43:951-957. [PMID: 35710122 DOI: 10.3174/ajnr.a7541] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 04/22/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND PURPOSE Intracranial vessel wall MR imaging is an emerging technique for intracranial vasculopathy assessment. Our aim was to investigate intracranial vessel wall MR imaging use by the American Society of Neuroradiology (ASNR) members at their home institutions, including indications and barriers to implementation. MATERIALS AND METHODS The ASNR Vessel Wall Imaging Study Group survey on vessel wall MR imaging use, frequency, applications, MR imaging systems and field strength used, protocol development approaches, vendor engagement, reasons for not using vessel wall MR imaging, ordering-provider interest, and impact on clinical care, was distributed to the ASNR membership between April 2 and August 30, 2019. RESULTS There were 532 responses; 79 were excluded due to nonresponse and 42 due to redundant institutional responses, leaving 411 responses. Fifty-two percent indicated that their institution performs vessel wall MR imaging, with 71.5% performed at least 1-2 times/month, most frequently on 3T MR imaging, and 87.7% using 3D sequences. Protocols most commonly included were T1-weighted pre- and postcontrast and TOF-MRA; 60.6% had limited contributions from vendors or were still in protocol development. Vasculopathy differentiation (94.4%), cryptogenic stroke (41.3%), aneurysm (38.0%), and atherosclerosis (37.6%) evaluation were the most common indications. For those not performing vessel wall MR imaging, interpretation (53.1%) or technical (46.4%) expertise, knowledge of applications (50.5%), or limitations of clinician (56.7%) or radiologist (49.0%) interest were the most common reasons. If technical/expertise obstacles were overcome, 56.4% of those not performing vessel wall MR imaging indicated that they would perform it. Ordering providers most frequently inquiring about vessel wall MR imaging were from stroke neurology (56.5%) and neurosurgery (25.1%), while 34.3% indicated that no providers had inquired. CONCLUSIONS More than 50% of neuroradiology groups use vessel wall MR imaging for intracranial vasculopathy characterization and differentiation, emphasizing the need for additional technical and educational support, especially as clinical vessel wall MR imaging implementation continues to grow.
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Affiliation(s)
- M Mossa-Basha
- From the Department of Radiology (M.M.-B.), University of North Carolina, Chapel Hill, North Carolina .,Department of Radiology (M.M.-B., C.Z.), University of Washington, Seattle, Washington
| | - C Zhu
- Department of Radiology (M.M.-B., C.Z.), University of Washington, Seattle, Washington
| | - C Yuan
- Department of Radiology (C.Y.), University of Utah, Salt Lake City, Utah
| | - L Saba
- University of Cagliari (L.S.), Cagliari, Sardinia, Italy
| | - D A Saloner
- Department of Radiology and Biomedical Imaging (D.A.S.), University of California San Francisco, San Francisco, California
| | - M Edjlali
- Department of Radiology (M.E.), AP-HP, Laboratoire d'imagerie Biomédicale Multimodale (BioMaps), Paris-Saclay University, Paris, France
| | - N V Stence
- Department of Radiology (N.V.S.), Children's Hospital of Colorado, Aurora, Colorado
| | - D M Mandell
- Joint Department of Medical Imaging (D.M.M., D.J.M.), University Health Network, Toronto, Ontario, Canada
| | - J M Romero
- Department of Radiology (J.M.R.), Massachusetts General Hospital, Boston, Massachusetts
| | - Y Qiao
- Department of Radiology (Y.Q., B.A.W.), Johns Hopkins University, Baltimore, Maryland
| | - D J Mikulis
- Joint Department of Medical Imaging (D.M.M., D.J.M.), University Health Network, Toronto, Ontario, Canada
| | - B A Wasserman
- Department of Radiology (Y.Q., B.A.W.), Johns Hopkins University, Baltimore, Maryland.,Department of Radiology (B.A.W.), University of Maryland, Baltimore, Maryland
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Sannananja B, Zhu C, Colip CG, Somasundaram A, Ibrahim M, Khrisat T, Mossa-Basha M. Image-Quality Assessment of 3D Intracranial Vessel Wall MRI Using DANTE or DANTE-CAIPI for Blood Suppression and Imaging Acceleration. AJNR Am J Neuroradiol 2022; 43:837-843. [PMID: 35618420 DOI: 10.3174/ajnr.a7531] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 04/13/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE 3D intracranial vessel wall MRI techniques are time consuming and prone to artifacts, especially flow artifacts. Our aim was to compare the image quality of accelerated and flow-suppressed 3D intracranial vessel wall MR imaging techniques relative to conventional acquisitions. MATERIALS AND METHODS Consecutive patients undergoing MR imaging had conventional postcontrast 3D T1-sampling perfection with application-optimized contrasts by using different flip angle evolution (SPACE) and either postcontrast delay alternating with nutation for tailored excitation (DANTE) flow-suppressed or DANTE-controlled aliasing in parallel imaging results in higher acceleration (CAIPI) flow-suppressed and accelerated T1-SPACE sequences performed. The sequences were evaluated using 4- or 5-point Likert scales for overall image quality, SNR, extent/severity of artifacts, motion, blood suppression, sharpness, and lesion assessment. Quantitative assessment of lumen and wall-to-lumen contrast ratios was performed. RESULTS Eighty-nine patients were included. T1-DANTE-SPACE had significantly better qualitative ratings relative to T1-SPACE for image quality, SNR, artifact impact, arterial and venous suppression, and lesion assessment (P < .001 for each, respectively), with the exception of motion (P = .16). T1-DANTE-CAIPI-SPACE had significantly better image quality, lesion assessment, arterial and venous blood suppression, less artifact impact, and less motion compared with T1-SPACE (P < .001 for each, respectively). The SNR was higher with T1-SPACE compared with T1-DANTE-CAIPI-SPACE (P < .001). T1-DANTE-CAIPI-SPACE showed significantly worse lumen (P = .005) and wall-to-lumen contrast ratios (P = .001) compared with T1-SPACE, without a significant difference between T1-SPACE and T1-DANTE-SPACE. T1-DANTE-CAIPI-SPACE scan time was 5:11 minutes compared with 8:08 and 8:41 minutes for conventional T1-SPACE and T1-DANTE-SPACE, respectively. CONCLUSIONS Accelerated postcontrast T1-DANTE-CAIPI-SPACE had fewer image artifacts, less motion, improved blood suppression, and a shorter scan time, but lower qualitative and quantitative SNR ratings relative to conventional T1-SPACE intracranial vessel wall MR imaging. Postcontrast T1-DANTE-SPACE had superior SNR, blood suppression, higher image quality, and fewer image artifacts, but slightly longer scan times relative to T1-SPACE.
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Affiliation(s)
- B Sannananja
- From the Department of Radiology (B.S., A.S.), Emory University, Atlanta, Georgia
| | - C Zhu
- Department of Radiology (C.Z., M.M.-B.), University of Washington, Seattle, Washington
| | - C G Colip
- Kaiser Permanente Northwest (C.G.C.), Portland, OR
| | - A Somasundaram
- From the Department of Radiology (B.S., A.S.), Emory University, Atlanta, Georgia
| | - M Ibrahim
- Department of Radiology (M.I.), University of Kansas, Lawrence, Kansas
| | - T Khrisat
- Department of Surgery (T.K.), Lincoln Medical Center, New York, New York
| | - M Mossa-Basha
- Department of Radiology (C.Z., M.M.-B.), University of Washington, Seattle, Washington
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Abstract
Recent disruptions in a pharmaceutical supply chain critical to radiologic imaging has impacted the global availability of iohexol iodinated contrast media (ICM). The shortage of iohexol has created a national crisis in the ability of radiology departments to provide health care to patients needing contrast-enhanced exams. Radiology departments are familiar with crisis management after more than two years of clinical and operational disruptions associated with the COVID-19 pandemic. The implications of this shortage has near-term (weeks), mid-term (months), and long term (years) impact. The purpose of this report is to provide the reader with strategies for dealing with the shortage of ICM in the near term and discuss long-term issues and potential solutions to supply chain problems impacting radiology departments.
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Affiliation(s)
- Thomas M Grist
- Department of Radiology, University of Wisconsin, Madison, WI, USA
| | - Cheri L Canon
- Department of Radiology, University of Alabama-Birmingham, Birmingham, AL, USA
| | - Elliot K Fishman
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Maureen P Kohi
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mahmud Mossa-Basha
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Kang H, Tian DC, Yang X, Zhang Y, Li W, Sui B, Duan Y, Zhang Y, Liu J, Wang K, Wang A, Turhon M, Mossa-Basha M, Levitt MR, Hasan D, Zhu C. A Randomized Controlled Trial of Statins to Reduce Inflammation in Unruptured Cerebral Aneurysms. JACC Cardiovasc Imaging 2022; 15:1668-1670. [DOI: 10.1016/j.jcmg.2022.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 03/23/2022] [Accepted: 04/07/2022] [Indexed: 11/16/2022]
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Li R, Zhou P, Chen X, Mossa-Basha M, Zhu C, Wang Y. Construction and Evaluation of Multiple Radiomics Models for Identifying the Instability of Intracranial Aneurysms Based on CTA. Front Neurol 2022; 13:876238. [PMID: 35481272 PMCID: PMC9037633 DOI: 10.3389/fneur.2022.876238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 03/14/2022] [Indexed: 11/18/2022] Open
Abstract
Background and Aims Identifying unruptured intracranial aneurysm instability is crucial for therapeutic decision-making. This study aims to evaluate the role of Radiomics and traditional morphological features in identifying aneurysm instability by constructing and comparing multiple models. Materials and Methods A total of 227 patients with 254 intracranial aneurysms evaluated by CTA were included. Aneurysms were divided into unstable and stable groups using comprehensive criteria: the unstable group was defined as aneurysms with near-term rupture, growth during follow-up, or caused compressive symptoms; those without the aforementioned conditions were grouped as stable aneurysms. Aneurysms were randomly divided into training and test sets at a 1:1 ratio. Radiomics and traditional morphological features (maximum diameter, irregular shape, aspect ratio, size ratio, location, etc.) were extracted. Three basic models and two integrated models were constructed after corresponding statistical analysis. Model A used traditional morphological parameters. Model B used Radiomics features. Model C used the Radiomics features related to aneurysm morphology. Furthermore, integrated models of traditional and Radiomics features were built (model A+B, model A+C). The area under curves (AUC) of each model was calculated and compared. Results There were 31 (13.7%) patients harboring 36 (14.2%) unstable aneurysms, 15 of which ruptured post-imaging, 16 with growth on serial imaging, and 5 with compressive symptoms, respectively. Four traditional morphological features, six Radiomics features, and three Radiomics-derived morphological features were identified. The classification of aneurysm stability was as follows: the AUC of the training set and test set in models A, B, and C are 0.888 (95% CI 0.808–0.967) and 0.818 (95% CI 0.705–0.932), 0.865 (95% CI 0.777–0.952) and 0.739 (95% CI 0.636–0.841), 0.605(95% CI 0.470–0.740) and 0.552 (95% CI 0.401–0.703), respectively. The AUC of integrated Model A+B was numerically slightly higher than any single model, whereas Model A+C was not. Conclusions A radiomics and traditional morphology integrated model seems to be an effective tool for identifying intracranial aneurysm instability, whereas the use of Radiomics-derived morphological features alone is not recommended. Radiomics-based models were not superior to the traditional morphological features model.
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Affiliation(s)
- Ran Li
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Pengyu Zhou
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xinyue Chen
- Computed Tomography Angiography Collaboration, Siemens Healthineers, Chengdu, China
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, United States
| | - Chengcheng Zhu
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, United States
| | - Yuting Wang
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
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Mossa-Basha M, Zhu C. White Matter Hyperintensities and Their Relationship to Outcomes after Stroke Intervention. Radiology 2022; 304:153-154. [PMID: 35348386 DOI: 10.1148/radiol.220207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Mahmud Mossa-Basha
- From the Department of Radiology, University of North Carolina School of Medicine, 101 Manning Dr, Chapel Hill, NC 27514 (M.M.B.); and Department of Radiology, University of Washington School of Medicine, Seattle, Wash (M.M.B., C.Z.)
| | - Chengcheng Zhu
- From the Department of Radiology, University of North Carolina School of Medicine, 101 Manning Dr, Chapel Hill, NC 27514 (M.M.B.); and Department of Radiology, University of Washington School of Medicine, Seattle, Wash (M.M.B., C.Z.)
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Hartman J, Moran S, Zhu C, Sharp J, Hippe D, Zamora D, Mossa-Basha M. Use of CTA Test Dose to Trigger a Low Cardiac Output Protocol Improves Acute Stroke CTP Data Analyzed with RAPID Software. AJNR Am J Neuroradiol 2022; 43:388-393. [PMID: 35177549 PMCID: PMC8910817 DOI: 10.3174/ajnr.a7428] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 12/16/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND PURPOSE Contrast curve truncation in CTP protocols may introduce errors. We sought to identify risk factors and design a protocol to avoid truncation while limiting radiation. MATERIALS AND METHODS In an initial fixed-timing cohort, patients underwent a 65-second CTP with 2-second delay postcontrast injection. Multivariable analysis identified factors associated with truncation. A later case-specific cohort underwent either the original protocol or a low cardiac output protocol with a 7-second delay and 75-second scanning window, with selection determined by CTA test-dose enhancement upswing delay. Time-density curves were assessed for truncation and compared between the 2 groups, and the radiation dose was evaluated. RESULTS From September 2017 through May 2018, one hundred fifty-three patients underwent the standard fixed-timing protocol. Age (OR, 1.82/10-year increase; P = .019), reduced left ventricle ejection fraction (OR, 9.23; P = .001), and hypertension (OR, 0.32; P = .06) were independently associated with truncation in an exploratory multivariable model. From May 2018 through April 2019, one hundred fifty-seven patients underwent either the standard (72 patients) or low cardiac output protocol (85 patients). The fixed-timing cohort had 15 truncations (9.8%) versus 4 in the case-specific cohort (2.5%; P = .009). If the low cardiac output protocol were applied to those with >10.6% predicted risk of truncation based on age, left ventricle ejection fraction, and hypertension, the number of truncations would have decreased from 15 to 4 in the fixed-timing cohort. CONCLUSIONS Older age, left ventricle ejection fraction, and the absence of hypertension increase the risk of time-density curve truncation. However, a CTA test-dose-directed case-specific protocol can reduce truncation to ensure accurate data while mitigating radiation dose increases.
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Affiliation(s)
- J.B. Hartman
- From the Department of Radiology (J.B.H., S.M., C.Z., J.S., D.A.Z., M.M.-B.), University of Washington, Seattle, Washington
| | - S. Moran
- From the Department of Radiology (J.B.H., S.M., C.Z., J.S., D.A.Z., M.M.-B.), University of Washington, Seattle, Washington
| | - C. Zhu
- From the Department of Radiology (J.B.H., S.M., C.Z., J.S., D.A.Z., M.M.-B.), University of Washington, Seattle, Washington
| | - J. Sharp
- From the Department of Radiology (J.B.H., S.M., C.Z., J.S., D.A.Z., M.M.-B.), University of Washington, Seattle, Washington
| | - D.S. Hippe
- Clinical Research Division (D.S.H.), Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - D.A. Zamora
- From the Department of Radiology (J.B.H., S.M., C.Z., J.S., D.A.Z., M.M.-B.), University of Washington, Seattle, Washington
| | - M. Mossa-Basha
- From the Department of Radiology (J.B.H., S.M., C.Z., J.S., D.A.Z., M.M.-B.), University of Washington, Seattle, Washington,Department of Radiology (M.M.-B.), University of North Carolina, Chapel Hill, North Carolina
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Ahmad S, Jhaveri MD, Mossa-Basha M, Oztek M, Hartman J, Gaddikeri S. A Comparison of CT-Guided Bone Biopsy and Fluoroscopic-Guided Disc Aspiration as Diagnostic Methods in the Management of Spondylodiscitis. Curr Probl Diagn Radiol 2022; 51:728-732. [DOI: 10.1067/j.cpradiol.2022.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/14/2022] [Accepted: 02/27/2022] [Indexed: 11/22/2022]
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Guo Y, Canton G, Chen L, Sun J, Geleri DB, Balu N, Xu D, Mossa-Basha M, Hatsukami TS, Yuan C. Multi-Planar, Multi-Contrast and Multi-Time Point Analysis Tool (MOCHA) for Intracranial Vessel Wall Characterization. J Magn Reson Imaging 2022; 56:944-955. [PMID: 35099091 DOI: 10.1002/jmri.28087] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 01/16/2022] [Accepted: 01/18/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Three-dimensional (3D) intracranial vessel wall (IVW) magnetic resonance imaging can reliably image intracranial atherosclerotic disease (ICAD). However, an integrated, streamlined, and optimized workflow for IVW analysis to provide qualitative and quantitative measurements is lacking. PURPOSE To propose and evaluate an image analysis pipeline (MOCHA) that can register multicontrast and multitime point 3D IVW for multiplanar review and quantitative plaque characterization. STUDY TYPE Retrospective. POPULATION A total of 11 subjects with ICAD (68 ± 10 years old, 6 males). FIELD STRENGTH/SEQUENCE A 3.0 T, 3D time-of-flight gradient echo sequence and T1- and proton density-weighted fast spin echo sequences. ASSESSMENT Each participant underwent two IVW sessions within 2 weeks. Scan and rescan IVW images were preprocessed using MOCHA. The presence of atherosclerotic lesions was identified in different intracranial arterial segments by two readers (GC and JS, 12 years of vascular MR imaging experience each) following an established review protocol to reach consensus on each of the reviews. For all locations with identified plaques, plaque length, lumen and vessel wall areas, maximum and mean wall thickness values, normalized wall index and contrast enhancement ratio were measured. STATISTICAL TESTS Percent agreement and Cohen's κ were used to test scan-rescan reproducibility of detecting plaques using MOCHA. Intraclass correlation coefficient (ICC) and Bland-Altman analysis were used to evaluate scan-rescan reproducibility for plaque morphologic and enhancement measurements. RESULTS In 150 paired intracranial vessel segments, the overall agreement in plaque detection was 92.7% (κ = 0.822). The ICCs (all ICCs > 0.90) and Bland-Altman plots (no bias observed) indicated excellent scan-rescan reproducibility for all morphologic and enhancement measurements. DATA CONCLUSION Findings from this study demonstrate that MOCHA provides high scan-rescan reproducibility for identification and quantification of atherosclerosis along multiple intracranial arterial segments and highlight its potential use in characterizing plaque composition and monitoring plaque development. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Yin Guo
- Department of Bioengineering, University of Washington, Seattle, Washington, 98109, USA
| | - Gador Canton
- Department of Radiology, University of Washington, Seattle, Washington, 98109, USA
| | - Li Chen
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington, 98109, USA
| | - Jie Sun
- Department of Radiology, University of Washington, Seattle, Washington, 98109, USA
| | - Duygu Baylam Geleri
- Department of Radiology, University of Washington, Seattle, Washington, 98109, USA
| | - Niranjan Balu
- Department of Radiology, University of Washington, Seattle, Washington, 98109, USA
| | - Dongxiang Xu
- Department of Radiology, University of Washington, Seattle, Washington, 98109, USA
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, Seattle, Washington, 98109, USA
| | - Thomas S Hatsukami
- Department of Surgery, University of Washington, Seattle, Washington, 98109, USA
| | - Chun Yuan
- Department of Bioengineering, University of Washington, Seattle, Washington, 98109, USA.,Department of Radiology, University of Washington, Seattle, Washington, 98109, USA
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Mossa-Basha M, Krupinski EA, Filippi CG, Sharpe RE, Giger M. Report from the RSNA COVID-19 Task Force: COVID-19 Impact on Academic Radiology Research-A Survey of Vice Chairs of Research. J Am Coll Radiol 2021; 19:304-309. [PMID: 34919832 PMCID: PMC8639392 DOI: 10.1016/j.jacr.2021.10.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 10/29/2021] [Accepted: 10/29/2021] [Indexed: 11/25/2022]
Abstract
Objective Survey vice chairs of research from academic radiology departments on the impact of coronavirus disease 2019 (COVID-19) on research activities. Methods The survey asked respondents to quantify changes in research performed during the shutdown and ramp-up, relative to pre–COVID-19 levels. Respondents estimated research activity changes by overall research type (wet, instrumentation, or core facilities: prospective non–COVID-19 clinical research and computational laboratories) and then by the research activity type (data analysis, grant or manuscript writing, clinician involvement, summer student participation, and international research fellow appointments).The χ2 test was used for comparison between shutdown and ramp-up, with Yates correction when necessary. Results Of 105 vice chairs contacted, 46 (43.8%) responded. For 95.5%, wet, instrumentation, or core facilities research decreased to ≤50% during shutdown and for 83.3% during ramp-up (P < .0001). In addition, 89.2% and 46.5% indicated reduction to ≤25% of non–COVID-19 clinical research during shutdown and ramp-up, respectively (P < .0001). Only computational research increased to 120% during shutdown (39.5%) or ramp-up (50%) (P = .8984). For data analysis from closed laboratories, 75% and 86% showed decreased activity during shutdown and ramp-up, respectively (P = .28). Increased grant writing during shutdown and ramp-up was reported by 45.5% and 23.3% (P = .093). For 52.3% and 23.3%, manuscript writing and submission increased during shutdown and ramp-up, respectively (P < .02). Clinician research involvement trended toward relative decreases during shutdown (84.1% versus 60.5%, P = .05). There was similar drop in summer student participation (shutdown: 86.4%, ramp-up: 83.7%, P = .95) and international researcher appointment (shutdown: 85.7%, ramp-up: 86.1%; P = .96). Conclusion Many radiology research activities diminished during the COVID-19 shutdown and to a lesser extent during the ramp-up. Activities that could be done remotely, such as computational analysis and grant and manuscript writing and submission, increased.
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Affiliation(s)
- Mahmud Mossa-Basha
- Vice-Chair of Clinical Operations, Chief of Service, Medical Director of MRI, Interim Director of Quality and Safety, Department of Radiology, University of Washington, Seattle, Washington.
| | - Elizabeth A Krupinski
- Vice-Chair of Research, Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia
| | | | - Richard E Sharpe
- Division Chair for Breast Imaging, Department of Radiology, Mayo Clinic, Scottsdale, Arizona
| | - Maryellen Giger
- Vice-Chair of Basic Science Research, Department of Radiology, University of Chicago, Chicago, Illinois
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Ko AL, Tong APS, Mossa-Basha M, Weaver KE, Ojemann JG, Miller JW, Hakimian S. Effects of laser interstitial thermal therapy for mesial temporal lobe epilepsy on the structural connectome and its relationship to seizure freedom. Epilepsia 2021; 63:176-189. [PMID: 34817885 DOI: 10.1111/epi.17059] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 08/19/2021] [Accepted: 08/19/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Laser interstitial thermal therapy (LITT) is a minimally invasive surgery for mesial temporal lobe epilepsy (mTLE), but the effects of individual patient anatomy and location of ablation volumes affect seizure outcomes. The purpose of this study is to see if features of individual patient structural connectomes predict surgical outcomes after LITT for mTLE. METHODS This is a retrospective analysis of seizure outcomes of LITT for mTLE in 24 patients. We use preoperative diffusion tensor imaging (DTI) to simulate changes in structural connectivity after laser ablation. A two-step machine-learning algorithm is applied to predict seizure outcomes from the change in connectomic features after surgery. RESULTS Although node-based network features such as clustering coefficient and betweenness centrality have some predictive value, changes in connection strength between mesial temporal regions predict seizure outcomes significantly better. Changes in connection strength between the entorhinal cortex (EC), and the insula, hippocampus, and amygdala, as well as between the temporal pole and hippocampus, predict Engel Class I outcomes with an accuracy of 88%. Analysis of the ablation location, as well as simulated, alternative ablations, reveals that a more medial, anterior, and inferior ablation volume is associated with a greater effect on these connections, and potentially on seizure outcomes. SIGNIFICANCE Our results indicate (1) that seizure outcomes can be retrospectively predicted with excellent accuracy using changes in structural connectivity, and (2) that favorable connectomic changes are associated with an ablation volume involving relatively mesial, anterior, and inferior locations. These results may provide a framework whereby individual pre-operative structural connectomes can be used to optimize ablation volumes and improve outcomes in LITT for mTLE.
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Affiliation(s)
- Andrew L Ko
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - Ai Phuong S Tong
- University of Washington School of Medicine, Seattle, Washington, USA
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Kurt E Weaver
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Jeffrey G Ojemann
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - John W Miller
- Department of Neurology, University of Washington, Seattle, Washington, USA
| | - Shahin Hakimian
- Department of Neurology, University of Washington, Seattle, Washington, USA
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Zhou P, Wang Y, Sun J, Yu Y, Mossa-Basha M, Zhu C. Assessment of Therapeutic Response to Statin Therapy in Patients With Intracranial or Extracranial Carotid Atherosclerosis by Vessel Wall MRI: A Systematic Review and Updated Meta-Analysis. Front Cardiovasc Med 2021; 8:742935. [PMID: 34778404 PMCID: PMC8578267 DOI: 10.3389/fcvm.2021.742935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 09/28/2021] [Indexed: 11/13/2022] Open
Abstract
Background and Aims: Statin therapy is an essential component of cardiovascular preventive care. In recent years, various vessel wall MRI (VW-MRI) techniques have been used to monitor atherosclerosis progression or regression in patients with extracranial or intracranial large-artery atherosclerosis. We aimed to perform a systematic review and meta-analysis on the effects of statin therapy on plaque evolution as assessed by VW-MRI. Materials and Methods: Prospective studies investigating carotid and intracranial atherosclerotic plaques in patients on statin therapy monitored by serial VW-MRI were systematically identified in the literature. The plaque burden and lipid-rich necrotic core (LRNC) volume of carotid plaque and the imaging features of intracranial plaques were extracted and summarized. For studies investigating carotid artery wall volume and LRNC volume, combined estimates were derived by meta-analysis. Results: The study identified 21 studies of carotid plaque and two studies of intracranial plaque. While 16 studies investigating carotid plaques that included 780 patients by High-resolution VW-MRI were included in the meta-analysis. There was no significant change in carotid wall volume from baseline to 12 months. A significant change in LRNC volume was observed at > 12 months compared with baseline (Effect = −10.69, 95% CI = −19.11, −2.28, P < 0.01), while no significant change in LRNC volume at 3–6 months or 7–12 months after statin therapy initiation in 6 studies. Increases in fibrous tissue and calcium and reduction in neovascularization density of the plaque were seen in 2/3 studies (including 48/59 patients), 1/3 studies (including 17/54 patients), and 2/2 studies (including 71 patients) after statin therapy, respectively. Two studies with 257 patients in intracranial atherosclerosis showed that statins could effectively decrease wall volume and plaque enhancement volume. Conclusions: Collective data indicated that statins could potentially stabilize carotid plaques by significantly reducing LRNC with 1 year of therapy as shown on serial carotid VW-MRI. There was no significant decrease in wall volume, which nonetheless indicated that plaque composition changes might be more sensitive to response monitoring than wall volume. It is likely that more sensitive, clinically relevant, and preferably quantitative indicators of therapeutic effects on intracranial vessel plaque morphology will be developed in the future.
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Affiliation(s)
- Pengyu Zhou
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuting Wang
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Jie Sun
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Yannan Yu
- Internal Medicine Department, University of Massachusetts Memorial Medical Center, Worcester, MA, United States
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle, WA, United States
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Abstract
Vessel wall MR imaging (VWI) is a technique that progressively has gained traction in clinical diagnostic applications for evaluation of intracranial and extracranial vasculopathies, with increasing use in pediatric populations. The technique has shown promise in detection, differentiation, and characterization of both inflammatory and noninflammatory vasculopathies. In this article, optimal techniques for intracranial and extracranial VWI as well as applications and value for pediatric vascular disease evaluation are discussed.
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Affiliation(s)
- Mahmud Mossa-Basha
- Department of Radiology, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195, USA.
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, 325 9th Avenue, Seattle, WA 98104, USA
| | - Lei Wu
- Department of Radiology, University of Washington, 1660 South Columbian Way, Seattle, WA 98108, USA
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