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Van AT, McTavish S, Peeters JM, Weiss K, Makowski MR, Braren RF, Karampinos DC. Motion-induced phase-corrected homodyne reconstruction for partial Fourier single-shot diffusion-weighted echo planar imaging of the liver. NMR IN BIOMEDICINE 2024; 37:e5147. [PMID: 38561247 DOI: 10.1002/nbm.5147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 04/04/2024]
Abstract
Partial Fourier encoding is popular in single-shot (ss) diffusion-weighted (DW) echo planar imaging (EPI) because it enables a shorter echo time (TE) and, hence, improves the signal-to-noise-ratio. Motion during diffusion encoding causes k-space shifting and dispersion, which compromises the quality of the homodyne reconstruction. This work provides a comprehensive understanding of the artifacts in homodyne reconstruction of partial Fourier ss-DW-EPI data in the presence of motion-induced phase and proposes the motion-induced phase-corrected homodyne (mpc-hdyne) reconstruction method to ameliorate these artifacts. Simulations with different types of motion-induced phase were performed to provide an understanding of the potential artifacts that occur in the homodyne reconstruction of partial Fourier ss-DW-EPI data. To correct for the artifacts, the mpc-hdyne reconstruction is proposed. The algorithm recenters k-space, updates the partial Fourier factor according to detected global k-space shifts, and removes low-resolution nonlinear phase before the conventional homodyne reconstruction. The mpc-hdyne reconstruction is tested on both simulation and in vivo data. Motion-induced phase can cause signal overestimation, worm artifacts, and signal loss in partial Fourier ss-DW-EPI data with the conventional homodyne reconstruction. Simulation and in vivo data showed that the proposed mpc-hdyne reconstruction ameliorated artifacts, yielding higher quality DW images compared with conventional homodyne reconstruction. Based on the understanding of the artifacts in homodyne reconstruction of partial Fourier ss-DW-EPI data, the mpc-hdyne reconstruction was proposed and showed superior performance compared with the conventional homodyne reconstruction on both simulation and in vivo data.
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Affiliation(s)
- Anh T Van
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Sean McTavish
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | | | | | - Marcus R Makowski
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Rickmer F Braren
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
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Lutsik N, Nejad-Davarani SP, Valderrama A, Herr J, Maziero D, Cullison K, Azzam GA, Kubicek G, Meshman J, de la Fuente MI, Armstrong T, Mellon EA. Validation of daily 0.35 T diffusion-weighted MRI for MRI-guided glioblastoma radiotherapy. Med Phys 2024; 51:5386-5398. [PMID: 38588475 PMCID: PMC11321942 DOI: 10.1002/mp.17067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 02/21/2024] [Accepted: 03/27/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND MRI-Linac systems enable daily diffusion-weighed imaging (DWI) MRI scans for assessing glioblastoma tumor changes with radiotherapy treatment. PURPOSE Our study assessed the image quality of echoplanar imaging (EPI)-DWI scans compared with turbo spin echo (TSE)-DWI scans at 0.35 Tesla (T) and compared the apparent diffusion coefficient (ADC) values and distortion of EPI-DWI on 0.35 T MRI-Linac compared to high-field diagnostic MRI scanners. METHODS The calibrated National Institute of Standards and Technology (NIST)/Quantitative Imaging Biomarkers Alliance (QIBA) Diffusion Phantom was scanned on a 0.35 T MRI-Linac, and 1.5 T and 3 T MRI with EPI-DWI. Five patients were scanned on a 0.35 T MRI-Linac with a TSE-DWI sequence, and five other patients were scanned with EPI-DWI on a 0.35 T MRI-Linac and a 3 T MRI. The quality of images was compared between the TSE-DWI and EPI-DWI on the 0.35 T MRI-Linac assessing signal-to-noise ratios and presence of artifacts. EPI-DWI ADC values and distortion magnitude were measured and compared between 0.35 T MRI-Linac and high-field MRI for both phantom and patient studies. RESULTS The average ADC differences between EPI-DWI acquired on the 0.35 T MRI-Linac, 1.5 T and 3 T MRI scanners and published references in the phantom study were 1.7%, 0.4% and 1.0%, respectively. Comparing the ADC values based on EPI-DWI in glioblastoma tumors, there was a 3.36% difference between 0.35 and 3 T measurements. Susceptibility-induced distortions in the EPI-DWI phantoms were 0.46 ± 1.51 mm for 0.35 MRI-Linac, 0.98 ± 0.51 mm for 1.5 T MRI and 1.14 ± 1.88 mm for 3 T MRI; for patients -0.47 ± 0.78 mm for 0.35 T and 1.73 ± 2.11 mm for 3 T MRIs. The mean deformable registration distortion for a phantom was 1.1 ± 0.22 mm, 3.5 ± 0.39 mm and 4.7 ± 0.37 mm for the 0.35 T MRI-Linac, 1.5 T MRI, and 3 T MRI scanners, respectively; for patients this distortion was -0.46 ± 0.57 mm for 0.35 T and 4.2 ± 0.41 mm for 3 T. EPI-DWI 0.35 T MRI-Linac images showed higher SNR and lack of artifacts compared with TSE-DWI, especially at higher b-values up to 1000 s/mm2. CONCLUSION EPI-DWI on a 0.35 T MRI-Linac showed superior image quality compared with TSE-DWI, minor and less distortions than high-field diagnostic scanners, and comparable ADC values in phantoms and glioblastoma tumors. EPI-DWI should be investigated on the 0.35 T MRI-Linac for prediction of early response in patients with glioblastoma.
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Affiliation(s)
- Natalia Lutsik
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, 1475 NW 12 Ave, Miami, Fl 33136
| | - Siamak P. Nejad-Davarani
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, 1475 NW 12 Ave, Miami, Fl 33136
| | - Alessandro Valderrama
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, 1475 NW 12 Ave, Miami, Fl 33136
| | - Janette Herr
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, 1475 NW 12 Ave, Miami, Fl 33136
| | - Danilo Maziero
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, 1475 NW 12 Ave, Miami, Fl 33136
- Department of Radiation Medicine & Applied Sciences, UC San Diego Health, La Jolla, CA 92093
| | - Kaylie Cullison
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, 1475 NW 12 Ave, Miami, Fl 33136
| | - Gregory A. Azzam
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, 1475 NW 12 Ave, Miami, Fl 33136
| | - Gregory Kubicek
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, 1475 NW 12 Ave, Miami, Fl 33136
| | - Jessica Meshman
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, 1475 NW 12 Ave, Miami, Fl 33136
| | - Macarena I. de la Fuente
- Neuro-Oncology division, University of Miami Miller School of Medicine, 1150 NW 14th St, Miami, FL 33136
| | - Tess Armstrong
- former ViewRay, Inc., 2 Thermo Fisher Way, Oakwood Village, Ohio 44146
| | - Eric A. Mellon
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, 1475 NW 12 Ave, Miami, Fl 33136
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Sakoda K, Baba S. Comparison of apparent diffusion coefficient (ADC) values obtained by echo planar imaging diffusion-weighted imaging (DWI) and radial acquisition regime DWI in low field MRI systems: A phantom study. Radiography (Lond) 2024; 30:1290-1296. [PMID: 39029278 DOI: 10.1016/j.radi.2024.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 06/20/2024] [Accepted: 07/05/2024] [Indexed: 07/21/2024]
Abstract
INTRODUCTION Diffusion-weighted imaging (DWI) with radial acquisition regime (RADAR; RADAR-DWI) is a fast spin echo (FSE)-based DWI imaging technique that is known to be robust to magnetic susceptibility artifacts and distortions as compared with echo planar imaging DWI (EPI-DWI). Several reports have suggested that the apparent diffusion coefficient (ADC) values obtained with FSE-based DWI are different from those obtained with EPI-DWI. The purpose of this study was to create phantoms that mimic the T2 and ADC values of various tissues and to demonstrate the ADC values obtained with RADAR-DWI and EPI-DWI in low-field magnetic resonance imaging (MRI) systems. METHODS Several phantoms were created using sucrose and manganese (II) chloride tetrahydrate mimicking various tissues. RADAR-DWI and EPI-DWI were used to scan the phantoms, and the obtained ADC values were compared. RESULTS The ADC values obtained with RADAR-DWI were significantly higher than those obtained with EPI-DWI for all phantoms (P < 0.05). The ADC values obtained by RADAR-DWI ranged from 0.70 ± 0.01 to 1.21 ± 0.02 ( × 10-3mm2s-1). Meanwhile, the ADC values obtained with EPI-DWI ranged from 0.59 ± 0.01 to 1.08 ± 0.05 ( × 10-3mm2s-1). CONCLUSIONS We created phantoms mimicking T2 and ADC values of various tissues and demonstrated the differences in ADC values obtained with RADAR-DWI and EPI-DWI using low-field MRI systems. IMPLICATIONS FOR PRACTICE ADC values obtained by RADAR-DWI are significantly higher than those obtained by EPI-DWI, with different cutoff values for various tumor malignancies between them.
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Affiliation(s)
- K Sakoda
- Department of Radiological Technology, Kagoshima Medical Technology College, Japan.
| | - S Baba
- Department of Radiological Technology, Kagoshima Medical Technology College, Japan
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Payne MM, Mali I, Shrestha TB, Basel MT, Timmerman S, Pyle M, Sebek J, Prakash P, Bossmann SH. T 1-mapping characterization of two tumor types. BIOPHYSICAL REPORTS 2024; 4:100157. [PMID: 38795740 PMCID: PMC11229382 DOI: 10.1016/j.bpr.2024.100157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 04/25/2024] [Accepted: 05/14/2024] [Indexed: 05/28/2024]
Abstract
T1 mapping is a quantitative method to characterize tissues with magnetic resonance imaging in a quick and efficient manner. It utilizes the relaxation rate of protons to depict the underlying structures within the imaging frame. While T1-mapping techniques are used with some frequency in areas such as cardiac imaging, their application for understanding malignancies and identifying tumor structures has yet to be thoroughly investigated. Utilizing a saturation recovery method to acquire T1 maps for two different tumor models has revealed that longitudinal relaxation mapping is sensitive enough to distinguish between normal and malignant tissue. This is seen even with decreased signal/noise ratios using small voxel sizes to obtain high-resolution images. In both tumor models, it was revealed that relaxation mapping recorded significantly different relaxation values between regions encapsulating the tumor, muscle, kidney, or spleen, as well as between the cell lines themselves. This indicates a potential future application of relaxation mapping as a method to fingerprint various stages of tumor development and may prove a useful measure to identify micro-metastases.
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Affiliation(s)
- Macy Marie Payne
- Department of Cancer Biology, University of Kansas Medical Center, Kansas City, Kansas
| | - Ivina Mali
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Tej B Shrestha
- Department of Anatomy and Physiology, Kansas State University, Manhattan, Kansas
| | - Matthew T Basel
- Department of Anatomy and Physiology, Kansas State University, Manhattan, Kansas
| | - Sarah Timmerman
- College of Veterinary Medicine, Kansas State University, Manhattan, Kansas
| | - Marla Pyle
- Department of Anatomy and Physiology, Kansas State University, Manhattan, Kansas
| | - Jan Sebek
- Department of Electrical and Computer Engineering, Kansas State University, Manhattan, Kansas
| | - Punit Prakash
- Department of Electrical and Computer Engineering, Kansas State University, Manhattan, Kansas
| | - Stefan H Bossmann
- Department of Cancer Biology, University of Kansas Medical Center, Kansas City, Kansas.
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Hung SC, Tu YF, Hunter SE, Guimaraes C. MRI predictors of long-term outcomes of neonatal hypoxic ischaemic encephalopathy: a primer for radiologists. Br J Radiol 2024; 97:1067-1077. [PMID: 38407350 DOI: 10.1093/bjr/tqae048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 01/12/2024] [Accepted: 02/22/2024] [Indexed: 02/27/2024] Open
Abstract
This review aims to serve as a foundational resource for general radiologists, enhancing their understanding of the role of Magnetic Resonance Imaging (MRI) in early prognostication for newborns diagnosed with hypoxic ischaemic encephalopathy (HIE). The article explores the application of MRI as a predictive instrument for determining long-term outcomes in newborns affected by HIE. With HIE constituting a leading cause of neonatal mortality and severe long-term neurodevelopmental impairments, early identification of prognostic indicators is crucial for timely intervention and optimal clinical management. We examine current literature and recent advancements to provide an in-depth overview of MRI predictors, encompassing brain injury patterns, injury scoring systems, spectroscopy, and diffusion imaging. The potential of these MRI biomarkers in predicting long-term neurodevelopmental outcomes and the probability of epilepsy is also discussed.
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Affiliation(s)
- Sheng-Che Hung
- Department of Radiology, School of Medicine, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, United States
| | - Yi-Fang Tu
- Department of Pediatrics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70403, Taiwan
| | - Senyene E Hunter
- Department of Neurology, School of Medicine, University of North Carolina Chapel Hill, Chapel Hill, NC 27599-7025, United States
| | - Carolina Guimaraes
- Department of Radiology, School of Medicine, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, United States
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Xing Z, Wang C, Yang W, She D, Yang X, Cao D. Predicting glioblastoma recurrence using multiparametric MR imaging of non-enhancing peritumoral regions at baseline. Heliyon 2024; 10:e30411. [PMID: 38711642 PMCID: PMC11070862 DOI: 10.1016/j.heliyon.2024.e30411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/08/2024] Open
Abstract
Background To assess the feasibility of multiparametric magnetic resonance imaging in predicting tumor recurrence in nonenhancing peritumoral regions in patients with glioblastoma at baseline. Methods Fifty-eight patients with recurrent glioblastoma underwent multiparametric magnetic resonance imaging, including T2-weighted fluid-attenuated inversion recovery, diffusion-weighted imaging, and dynamic susceptibility contrast perfusion-weighted imaging. Nonenhancing peritumoral regions with glioblastoma recurrence were identified by coregistering preoperative and post-recurrent magnetic resonance images. Regions of interest were placed in nonenhancing peritumoral regions with and without tumor recurrence to calculate the apparent diffusion coefficient value, and relative ratios of T2-weighted fluid-attenuated inversion recovery signal intensity, apparent diffusion coefficient, and cerebral blood volume values. Results Significant lower relative T2-weighted fluid-attenuated inversion recovery signal intensity, apparent diffusion coefficient, and relative apparent diffusion coefficient but higher relative cerebral blood volume values were found in the nonenhancing peritumoral regions with tumor recurrence than without recurrence (all P < 0.05). The threshold values ≥ 0.89 for relative cerebral blood volume provide the optimal performance for predicting the nonenhancing peritumoral regions with future tumor recurrence, with the sensitivity, specificity, and accuracy of 84.7%, 83.6%, and 85.8%, respectively. The combination of relative T2-weighted fluid-attenuated inversion recovery signal intensity, apparent diffusion coefficient, and relative cerebral blood volume can provide better predictive performance than relative cerebral blood volume (P = 0.015). Conclusion The combined use of T2-weighted fluid-attenuated inversion recovery, diffusion-weighted imaging, and dynamic susceptibility contrast perfusion-weighted imaging can effectively estimate the risk of future tumor recurrence at baseline.
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Affiliation(s)
- Zhen Xing
- Department of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China
| | - Cong Wang
- Department of Nuclear Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
| | - Wen Yang
- The Webb Schools, Claremont, CA, 91711, USA
| | - Dejun She
- Department of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China
| | - Xiefeng Yang
- Department of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China
| | - Dairong Cao
- Department of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China
- Department of Radiology, Fujian Key Laboratory of Precision Medicine for Cancer, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
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Moschopoulos CD, Stanitsa E, Protopapas K, Kavatha D, Papageorgiou SG, Antoniadou A, Papadopoulos A. Multimodal Approach to Neurocognitive Function in People Living with HIV in the cART Era: A Comprehensive Review. Life (Basel) 2024; 14:508. [PMID: 38672778 PMCID: PMC11050956 DOI: 10.3390/life14040508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 04/02/2024] [Accepted: 04/13/2024] [Indexed: 04/28/2024] Open
Abstract
Combination antiretroviral treatment (cART) has revolutionized the management of human immunodeficiency virus (HIV) and has markedly improved the disease burden and life expectancy of people living with HIV. HIV enters the central nervous system (CNS) early in the course of infection, establishes latency, and produces a pro-inflammatory milieu that may affect cognitive functions, even in the cART era. Whereas severe forms of neurocognitive impairment (NCI) such as HIV-associated dementia have declined over the last decades, milder forms have become more prevalent, are commonly multifactorial, and are associated with comorbidity burdens, mental health, cART neurotoxicity, and ageing. Since 2007, the Frascati criteria have been used to characterize and classify HIV-associated neurocognitive disorders (HAND) into three stages, namely asymptomatic neurocognitive impairment (ANI), mild neurocognitive disorder (MND), and HIV-associated dementia (HAD). These criteria are based on a comprehensive neuropsychological assessment that presupposes the availability of validated, demographically adjusted, and normative population data. Novel neuroimaging modalities and biomarkers have been proposed in order to complement NCI assessments, elucidate neuropathogenic mechanisms, and support HIV-associated NCI diagnosis, monitoring, and prognosis. By integrating neuropsychological assessments with biomarkers and neuroimaging into a holistic care approach, clinicians can enhance diagnostic accuracy, prognosis, and patient outcomes. This review interrogates the value of these modes of assessment and proposes a unified approach to NCI diagnosis.
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Affiliation(s)
- Charalampos D. Moschopoulos
- 4th Department of Internal Medicine, Medical School of Athens, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece; (K.P.); (D.K.); (A.A.); (A.P.)
| | - Evangelia Stanitsa
- 1st Department of Neurology, Medical School of Athens, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (E.S.); (S.G.P.)
| | - Konstantinos Protopapas
- 4th Department of Internal Medicine, Medical School of Athens, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece; (K.P.); (D.K.); (A.A.); (A.P.)
| | - Dimitra Kavatha
- 4th Department of Internal Medicine, Medical School of Athens, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece; (K.P.); (D.K.); (A.A.); (A.P.)
| | - Sokratis G. Papageorgiou
- 1st Department of Neurology, Medical School of Athens, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (E.S.); (S.G.P.)
| | - Anastasia Antoniadou
- 4th Department of Internal Medicine, Medical School of Athens, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece; (K.P.); (D.K.); (A.A.); (A.P.)
| | - Antonios Papadopoulos
- 4th Department of Internal Medicine, Medical School of Athens, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece; (K.P.); (D.K.); (A.A.); (A.P.)
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Rehman S, Nadeem A, Akram U, Sarwar A, Quraishi A, Siddiqui H, Malik MAJ, Nabi M, Ul Haq I, Cho A, Mazumdar I, Kim M, Chen K, Sepehri S, Wang R, Balar AB, Lakhani DA, Yedavalli VS. Molecular Mechanisms of Ischemic Stroke: A Review Integrating Clinical Imaging and Therapeutic Perspectives. Biomedicines 2024; 12:812. [PMID: 38672167 PMCID: PMC11048412 DOI: 10.3390/biomedicines12040812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 03/28/2024] [Accepted: 04/01/2024] [Indexed: 04/28/2024] Open
Abstract
Ischemic stroke poses a significant global health challenge, necessitating ongoing exploration of its pathophysiology and treatment strategies. This comprehensive review integrates various aspects of ischemic stroke research, emphasizing crucial mechanisms, therapeutic approaches, and the role of clinical imaging in disease management. It discusses the multifaceted role of Netrin-1, highlighting its potential in promoting neurovascular repair and mitigating post-stroke neurological decline. It also examines the impact of blood-brain barrier permeability on stroke outcomes and explores alternative therapeutic targets such as statins and sphingosine-1-phosphate signaling. Neurocardiology investigations underscore the contribution of cardiac factors to post-stroke mortality, emphasizing the importance of understanding the brain-heart axis for targeted interventions. Additionally, the review advocates for early reperfusion and neuroprotective agents to counter-time-dependent excitotoxicity and inflammation, aiming to preserve tissue viability. Advanced imaging techniques, including DWI, PI, and MR angiography, are discussed for their role in evaluating ischemic penumbra evolution and guiding therapeutic decisions. By integrating molecular insights with imaging modalities, this interdisciplinary approach enhances our understanding of ischemic stroke and offers promising avenues for future research and clinical interventions to improve patient outcomes.
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Affiliation(s)
- Sana Rehman
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; (M.N.); (A.C.); (I.M.); (M.K.); (K.C.); (S.S.); (R.W.); (A.B.B.); (D.A.L.); (V.S.Y.)
| | - Arsalan Nadeem
- Department of Medicine, Allama Iqbal Medical College, Lahore 54700, Pakistan;
| | - Umar Akram
- Department of Medicine, Allama Iqbal Medical College, Lahore 54700, Pakistan;
| | - Abeer Sarwar
- Department of Medicine, Fatima Memorial Hospital College of Medicine and Dentistry, Lahore 54000, Pakistan; (A.S.); (H.S.)
| | - Ammara Quraishi
- Department of Medicine, Dow University of Health Sciences, Karachi 74200, Pakistan;
| | - Hina Siddiqui
- Department of Medicine, Fatima Memorial Hospital College of Medicine and Dentistry, Lahore 54000, Pakistan; (A.S.); (H.S.)
| | | | - Mehreen Nabi
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; (M.N.); (A.C.); (I.M.); (M.K.); (K.C.); (S.S.); (R.W.); (A.B.B.); (D.A.L.); (V.S.Y.)
| | - Ihtisham Ul Haq
- Department of Medicine, Amna Inayat Medical College, Sheikhupura 54300, Pakistan;
| | - Andrew Cho
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; (M.N.); (A.C.); (I.M.); (M.K.); (K.C.); (S.S.); (R.W.); (A.B.B.); (D.A.L.); (V.S.Y.)
| | - Ishan Mazumdar
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; (M.N.); (A.C.); (I.M.); (M.K.); (K.C.); (S.S.); (R.W.); (A.B.B.); (D.A.L.); (V.S.Y.)
| | - Minsoo Kim
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; (M.N.); (A.C.); (I.M.); (M.K.); (K.C.); (S.S.); (R.W.); (A.B.B.); (D.A.L.); (V.S.Y.)
| | - Kevin Chen
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; (M.N.); (A.C.); (I.M.); (M.K.); (K.C.); (S.S.); (R.W.); (A.B.B.); (D.A.L.); (V.S.Y.)
| | - Sadra Sepehri
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; (M.N.); (A.C.); (I.M.); (M.K.); (K.C.); (S.S.); (R.W.); (A.B.B.); (D.A.L.); (V.S.Y.)
| | - Richard Wang
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; (M.N.); (A.C.); (I.M.); (M.K.); (K.C.); (S.S.); (R.W.); (A.B.B.); (D.A.L.); (V.S.Y.)
| | - Aneri B. Balar
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; (M.N.); (A.C.); (I.M.); (M.K.); (K.C.); (S.S.); (R.W.); (A.B.B.); (D.A.L.); (V.S.Y.)
| | - Dhairya A. Lakhani
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; (M.N.); (A.C.); (I.M.); (M.K.); (K.C.); (S.S.); (R.W.); (A.B.B.); (D.A.L.); (V.S.Y.)
| | - Vivek S. Yedavalli
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; (M.N.); (A.C.); (I.M.); (M.K.); (K.C.); (S.S.); (R.W.); (A.B.B.); (D.A.L.); (V.S.Y.)
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Barbosa MA, Pereira EGR, da Mata Pereira PJ, Guasti AA, Andreiuolo F, Chimelli L, Kasuki L, Ventura N, Gadelha MR. Diffusion-weighted imaging does not seem to be a predictor of consistency in pituitary adenomas. Pituitary 2024; 27:187-196. [PMID: 38273189 DOI: 10.1007/s11102-023-01377-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/20/2023] [Indexed: 01/27/2024]
Abstract
PURPOSE To prospectively evaluate the usefulness of T1-weighted imaging (T1WI) and diffusion-weighted imaging (DWI) sequences in predicting the consistency of macroadenomas. In addition, to determine their values as prognostic factors of surgical outcomes. METHODS Patients with pituitary macroadenoma and surgical indication were included. All patients underwent pre-surgical magnetic resonance imaging (MRI) that included the sequences T1WI before and after contrast administration and DWI with the apparent diffusion coefficient (ADC) map. Post-surgical MRI was performed at least 3 months after surgery. The consistency of the macroadenomas was evaluated at surgery, and they were grouped into soft and intermediate/hard adenomas. Mean ADC values, signal on T1WI and the ratio of tumor ADC values to pons (ADCR) were compared with tumor consistency and grade of surgical resection. RESULTS A total of 80 patients were included. A softened consistency was found at surgery in 53 patients and hardened in 27 patients. The median ADC in the soft consistency group was 0.532 × 10-3 mm2/sec (0.306 - 1.096 × 10-3 mm2/sec), and in the intermediate/hard consistency group was 0.509 × 10-3 mm2/sec (0.308 - 0.818 × 10-3 mm2/sec). There was no significant difference between the median values of ADC, ADCR and signal on T1W between the soft and hard tumor groups, or between patients with and without tumor residue. CONCLUSION Our results did not show usefulness of the DWI and T1WI for assessing the consistency of pituitary macroadenomas, nor as a predictor of the degree of surgical resection.
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Affiliation(s)
- Monique Alvares Barbosa
- Radiology Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil.
- MRI Unit, Clínica de Diagnóstico por Imagem, DASA, Rio de Janeiro, Brazil.
- Serviço de Radiologia, Instituto Estadual do Cérebro Paulo Niemeyer, Rua do Rezende, 156, Centro, Rio de Janeiro, 20231-092, Brazil.
| | | | - Paulo José da Mata Pereira
- Neurosurgery Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
| | - André Accioly Guasti
- Neurosurgery Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
| | - Felipe Andreiuolo
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
| | - Leila Chimelli
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
| | - Leandro Kasuki
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Rio de Janeiro, Brazil
- Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
- Endocrinology Division, Hospital Federal de Bonsucesso, Rio de Janeiro, Brazil
| | - Nina Ventura
- Radiology Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
- Neuroradiology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Rio de Janeiro, Brazil
- Neuroradiology Unit, Samaritano Hospital, Grupo Fleury, Rio de Janeiro, Brazil
| | - Monica R Gadelha
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Rio de Janeiro, Brazil
- Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
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10
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Chen S, Chu ML, Liang L, Liu YJ, Chen NK, Wang H, Juan CJ, Chang HC. Highly accelerated multi-shot intravoxel incoherent motion diffusion-weighted imaging in brain enabled by parametric POCS-based multiplexed sensitivity encoding. NMR IN BIOMEDICINE 2024; 37:e5063. [PMID: 37871617 DOI: 10.1002/nbm.5063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 10/25/2023]
Abstract
Recently, intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) has also been demonstrated as an imaging tool for applications in neurological and neurovascular diseases. However, the use of single-shot diffusion-weighted echo-planar imaging for IVIM DWI acquisition leads to suboptimal data quality: for instance, geometric distortion and deteriorated image quality at high spatial resolution. Although the recently commercialized multi-shot acquisition methods, such as multiplexed sensitivity encoding (MUSE), can attain high-resolution and high-quality DWI with signal-to-noise ratio (SNR) performance superior to that of the conventional parallel imaging method, the prolonged scan time associated with multi-shot acquisition is impractical for routine IVIM DWI. This study proposes an acquisition and reconstruction framework based on parametric-POCSMUSE to accelerate the four-shot IVIM DWI with 70% reduction of total scan time (13 min 8 s versus 4 min 8 s). First, the four-shot IVIM DWI scan with 17 b values was accelerated by acquiring only one segment per b value except for b values of 0 and 600 s/mm2 . Second, an IVIM-estimation scheme was integrated into the parametric-POCSMUSE to enable joint reconstruction of multi-b images from under-sampled four-shot IVIM DWI data. In vivo experiments on both healthy subjects and patients show that the proposed framework successfully produced multi-b DW images with significantly higher SNRs and lower reconstruction errors than did the conventional acceleration method based on parallel imaging. In addition, the IVIM quantitative maps estimated from the data produced by the proposed framework showed quality comparable to that of fully sampled MUSE-reconstructed images, suggesting that the proposed framework can enable highly accelerated multi-shot IVIM DWI without sacrificing data quality. In summary, the proposed framework can make multi-shot IVIM DWI feasible in a routine MRI examination, with reasonable scan time and improved geometric fidelity.
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Affiliation(s)
- Shihui Chen
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong
- Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Mei-Lan Chu
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan
| | - Liyuan Liang
- Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Yi-Jui Liu
- Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan
| | - Nan-Kuei Chen
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, North Carolina, USA
| | - He Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Human Phenome Institute, Fudan University, Shanghai, China
| | - Chun-Jung Juan
- Department of Medical Imaging, China Medical University Hsinchu Hospital, Hsinchu, Taiwan
- Department of Radiology, School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
- Department of Medical Imaging, China Medical University Hospital, Taichung, Taiwan
| | - Hing-Chiu Chang
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong
- Multi-Scale Medical Robotics Center, Shatin, Hong Kong
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11
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Pei C, He C, Li H, Li X, Huang W, Liu J, Yin J. Clinical and imaging markers for the prognosis of acute ischemic stroke. Front Neurol 2024; 15:1345914. [PMID: 38487321 PMCID: PMC10937465 DOI: 10.3389/fneur.2024.1345914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 02/19/2024] [Indexed: 03/17/2024] Open
Abstract
Background and purpose Significant differences in the outcomes observed in patients with acute ischemic stroke (AIS) have led to research investigations for identifying the predictors. In this retrospective study, we aimed to investigate the relationship of different clinical and imaging factors with the prognosis of AIS. Materials and methods All clinical and imaging metrics were compared between the good and poor prognosis groups according to the modified Rankin Scale (mRS) score at 90 days after discharge. Clinical factors included gender, age, NIHSS scores at admission, and other medical history risk factors. Imaging markers included the lesion's size and location, diffusion, and perfusion metrics of infarction core and peripheral regions, and the state of collateral circulation. Spearman's correlations were analyzed for age and imaging markers between the different groups. The Chi-square test and Cramer's V coefficient analysis were performed for gender, collateral circulation status, NIHSS score, and other stroke risk factors. Results A total of 89 patients with AIS were divided into the good (mRS score ≤ 2) and poor prognosis groups (mRS score ≥ 3). There were differences in NIHSS score at the admission; relative MK (rMK), relative MD (rMD), relative CBF (rCBF) of the infarction core; relative mean transit time (rMTT), relative time to peak (rTTP), and relative CBF (rCBF) of peripheral regions; and collateral circulation status between the two groups (p < 0.05). Among them, the rMK of infarction lesions had the strongest correlation with the mRS score at 90 days after discharge (r = 0.545, p < 0.001). Conclusion Perfusion and diffusion metrics could reflect the microstructure and blood flow characteristics of the lesion, which were the key factors for the salvage ability and prognosis of the infarction tissue. The characteristics of the infarction core and peripheral regions have different effects on the outcomes. Diffusion of infarction core has strong relations with the prognosis, whereas the time metrics (MTT, TTP) were more important for peripheral regions. MK had a more significant association with prognosis than MD. These factors were the primary markers influencing the prognosis of cerebral infarction patients.
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Affiliation(s)
- Chenyang Pei
- Tianjin Medical University, Tianjin, China
- Department of Radiology, Haikou People's Hospital, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, Hainan, China
| | - Che He
- Medical Imaging Center, The First People's Hospital of Qujing, Qujing, Yunnan, China
| | - Han Li
- Tianjin Medical University, Tianjin, China
| | - Xiangying Li
- Department of Radiology, Haikou People's Hospital, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, Hainan, China
| | - Weihui Huang
- Department of Neurology, Tianjin First Central Hospital, Tianjin, China
| | - Jun Liu
- Department of Radiology, Tianjin Fourth Central Hospital, Tianjin, China
| | - Jianzhong Yin
- Department of Radiology, Haikou People's Hospital, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, Hainan, China
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12
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Shinohara Y, Ohmura T, Ibaraki M, Itoh T, Sasaki F, Sato Y, Inomata T, Anbo K, Kinoshita T. Non-contrast dual-energy CT using X-map for acute ischemic stroke: region-specific comparison with simulated 120-kVp CT and diffusion-weighted MR images. Jpn J Radiol 2024; 42:165-173. [PMID: 37750952 PMCID: PMC10811128 DOI: 10.1007/s11604-023-01490-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 09/12/2023] [Indexed: 09/27/2023]
Abstract
PURPOSE X-map is a non-contrast dual-energy CT (DECT) application to identify acute ischemic stroke (AIS). Our aim was to verify region-specific characteristics of early ischemic changes (EIC) on X-map compared with simulated 120-kVp mixed-CT image and DWI. METHODS Fifty AIS patients who underwent DECT and DWI were enrolled (mean age, 76 years; 34 men, 16 women). All datasets including mixed-CT image, X-map, and DWI were transformed into a standard brain atlas with 11 × 2 ROIs based on the ASPECTS + W system. ROIs with EIC on DWI, mixed-CT image, and X-map were defined as DWI-positive, mixed-CT-positive, and X-map-positive, and those with normal finding were DWI-negative, mixed-CT-negative, and X-map-negative respectively, in visual assessment by two neuroradiologists in consensus. RESULTS EIC on X-maps were visually relevant to those on the other images: of 221 ROIs with mixed-CT-positive and X-map-positive, 198 (89.6%) were DWI-positive. X-map revealed moderate diagnostic accuracy for AIS compared with DWI in ROC curve analysis (AUC = 0.732). X-map identified EIC in deep white matter more sensitively than mixed-CT image: of 15 ROIs with mixed-CT-negative and X-map-positive in W segments, 14 (93.3%) were DWI-positive. X-map often showed EIC in cortical regions that were not detected on the other images: of 67 ROIs with mixed-CT-negative and X-map-positive in I and M1-M6 segments, 47 (70.1%) were DWI-negative. CONCLUSIONS X-map is useful to detect EIC, especially in deep white matter, and may also provide additional information in acute ischemic lesions where DWI cannot be detected.
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Affiliation(s)
- Yuki Shinohara
- Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, 6-10 Senshu-Kubota-Machi, Akita, 010-0874, Japan.
| | - Tomomi Ohmura
- Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, 6-10 Senshu-Kubota-Machi, Akita, 010-0874, Japan
| | - Masanobu Ibaraki
- Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, 6-10 Senshu-Kubota-Machi, Akita, 010-0874, Japan
| | - Toshihide Itoh
- CT Research and Collaboration Department, Diagnostic Imaging Division, Siemens Healthcare K.K, Gate City Osaki West Tower 1-11-1 Osaki, Shinagawa-Ku, Tokyo, 141-8644, Japan
| | - Fumiaki Sasaki
- Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, 6-10 Senshu-Kubota-Machi, Akita, 010-0874, Japan
| | - Yuichiro Sato
- Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, 6-10 Senshu-Kubota-Machi, Akita, 010-0874, Japan
| | - Takato Inomata
- Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, 6-10 Senshu-Kubota-Machi, Akita, 010-0874, Japan
| | - Kanata Anbo
- Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, 6-10 Senshu-Kubota-Machi, Akita, 010-0874, Japan
| | - Toshibumi Kinoshita
- Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, 6-10 Senshu-Kubota-Machi, Akita, 010-0874, Japan
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13
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Tang Y, Xie T, Guo Y, Liu S, Li C, Liu T, Zhao P, Yang L, Li Z, Yang H, Zhang X. Analysis of Diffusion-Weighted and T2-Weighted Imaging in the Prediction of Distinct Granulation Patterns of Somatotroph Adenomas. World Neurosurg 2024; 182:e334-e343. [PMID: 38052365 DOI: 10.1016/j.wneu.2023.11.107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 12/07/2023]
Abstract
OBJECTIVE The heterogeneity of the somatotroph adenomas, especially for sparsely granulated (SG) and densely granulated (DG) subtypes, has attracted great attention in identifying their imaging biomarker. The purpose of the current study was to compare the diagnostic performance of diffusion-weighted and T2-weighted magnetic resonance imaging (MRI) sequences for preoperatively distinguishing the granulation patterns of somatotroph adenomas. METHODS Thirty-two patients with a clinical diagnosis of somatotroph adenomas from October 2018 to March 2023 were included in this study. Coronal diffusion-weighted imaging (DWI) and T2-weighted MRI sequence data were collected from 3.0T MRI and compared between SG and DG groups. The immunohistochemistry was used to confirm the electron microscopy pathologic subtypes and Ki67 expression levels of somatotroph adenomas postoperatively. RESULTS Patients in the SG group had significantly higher signal intensity (SI) ratio of DWI (rDWI) (P < 0.001), lower SI ratio of apparent diffusion coefficient (rADC) (P < 0.001), and higher SI ratio of T2-weighted imaging (P = 0.011). The combined diagnosis index of rDWI and rADC had the highest diagnostic efficiency in predicting SG adenomas (sensitivity, 93.3%; specificity, 88.2%; P < 0.001). The rDWI and rADC values had positive and negative correlations with the Ki67 index and tumor maximum diameter, respectively. Lower rADC×103 was an independent predictor for SG adenomas. CONCLUSIONS Our results indicated that compared with previously used T2-weighted imaging, the DWI sequence, especially the combined diagnosis index of rDWI and rADC, could more efficiently distinguish the granulation patterns of somatotroph adenomas preoperatively.
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Affiliation(s)
- Yifan Tang
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - Tao Xie
- Department of Neurosurgery, Fudan University, Shanghai, China; Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; The Innovation and Translation Alliance of Neuroendoscopy in the Yangtze River Delta, Shanghai, China
| | - Yinglong Guo
- Department of Radiology, Fudan University, Shanghai, China
| | - Shuang Liu
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - Chen Li
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - Tengfei Liu
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - Puyuan Zhao
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - LiangLiang Yang
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - Zeyang Li
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - Hantao Yang
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - Xiaobiao Zhang
- Department of Neurosurgery, Fudan University, Shanghai, China; Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Digital Medical Research Center, Fudan University, Shanghai, China; The Innovation and Translation Alliance of Neuroendoscopy in the Yangtze River Delta, Shanghai, China; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai, China.
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14
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Musto E, Gambardella ML, Perulli M, Quintiliani M, Veredice C, Verdolotti T, Berté G, Leoni C, Onesimo R, Pulitanò SM, Tartaglia M, Zampino G, Contaldo I, Battaglia DI. Status epilepticus in BRAF-related cardio-facio-cutaneous syndrome: Focus on neuroimaging clues to physiopathology. Epilepsia Open 2024; 9:258-267. [PMID: 37943120 PMCID: PMC10839340 DOI: 10.1002/epi4.12864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 11/06/2023] [Indexed: 11/10/2023] Open
Abstract
OBJECTIVE Cardio-facio-cutaneous syndrome (CFC) is a genetic disorder due to variants affecting genes coding key proteins of the Ras/MAPK signaling pathway. Among the different features of CFC, neurological involvement, including cerebral malformations and epilepsy, represents a common and clinically relevant aspect. Status epilepticus (SE) is a recurrent feature, especially in a specific subgroup of CFC patients with developmental and epileptic encephalopathy (DEE) and history of severe pharmacoresistant epilepsy. Here we dissect the features of SE in CFC patients with a particular focus on longitudinal magnetic resonance imaging (MRI) findings to identify clinical-radiological patterns and discuss the underlying physiopathology. METHODS We retrospectively analyzed clinical, electroencephalogram (EEG), and MRI data collected in a single center from a cohort of 23 patients with CFC carrying pathogenic BRAF variants who experienced SE during a 5-year period. RESULTS Seven episodes of SE were documented in 5 CFC patients who underwent EEG and MRI at baseline. MRI was performed during SE/within 72 hours from SE termination in 5/7 events. Acute/early post-ictal MRI findings showed heterogenous abnormalities: restricted diffusion in 2/7, focal area of pcASL perfusion change in 2/7, focal cortical T2/FLAIR hyperintensity in 2/7. Follow-up images were available for 4/7 SE. No acute changes were detected in 2/7 (MRI performed 4 days after SE termination). SIGNIFICANCE Acute focal neuroimaging changes concomitant with ictal EEG focus were present in 5/7 episodes, though with different findings. The heterogeneous patterns suggest different contributing factors, possibly including the presence of focal cortical malformations and autoinflammation. When cytotoxic edema is revealed by MRI, it can be followed by permanent structural damage, as already observed in other genetic conditions. A better understanding of the physiopathology will provide access to targeted treatments allowing to prevent long-term adverse neurological outcome. PLAIN LANGUAGE SUMMARY Cardio-facio-cutaneous syndrome is a genetic disorder that often causes prolonged seizures known as status epilepticus. This study has a focus on electroclinical and neuroimaging patterns in patients with cardio-facio-cutaneous syndrome. During these status epilepticus episodes, we found different abnormal brain imaging patterns in patients, indicating various causes like brain malformations and inflammation. Understanding these patterns could help doctors find specific treatments, protecting cardio-facio-cutaneous syndrome patients from long-term brain damage.
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Affiliation(s)
- Elisa Musto
- Department of Life Sciences and Public HealthUniversità Cattolica del Sacro CuoreRomeItaly
- Neurology, Epilepsy and Movement Disorders, Full member of European Reference Network EpiCAREBambino Gesù Children's Hospital, IRCCSRomeItaly
| | - Maria Luigia Gambardella
- Child Neurology and Psychiatric Unit, Fondazione Policlinico Universitario Agostino GemelliIRCCSRomeItaly
| | - Marco Perulli
- Department of Life Sciences and Public HealthUniversità Cattolica del Sacro CuoreRomeItaly
- Child Neurology and Psychiatric Unit, Fondazione Policlinico Universitario Agostino GemelliIRCCSRomeItaly
| | - Michela Quintiliani
- Child Neurology and Psychiatric Unit, Fondazione Policlinico Universitario Agostino GemelliIRCCSRomeItaly
| | - Chiara Veredice
- Child Neurology and Psychiatric Unit, Fondazione Policlinico Universitario Agostino GemelliIRCCSRomeItaly
| | - Tommaso Verdolotti
- Radiology and Neuroradiology Unit, Fondazione Policlinico Universitario Agostino GemelliIRCCSRomeItaly
| | - Giovanna Berté
- Radiology and Neuroradiology Unit, Fondazione Policlinico Universitario Agostino GemelliIRCCSRomeItaly
| | - Chiara Leoni
- Center for Rare Disease and Congenital Defects, Fondazione Policlinico Universitario Agostino GemelliIRCCSRomeItaly
| | - Roberta Onesimo
- Center for Rare Disease and Congenital Defects, Fondazione Policlinico Universitario Agostino GemelliIRCCSRomeItaly
| | - Silvia Maria Pulitanò
- Pediatric Intensive Care Unit Trauma Center Pediatric, Fondazione Policlinico Universitario Agostino GemelliIRCCSRomeItaly
| | - Marco Tartaglia
- Molecular Genetics and Functional Genomics, Ospedale Pediatrico Bambino GesùIRCCSRomeItaly
| | - Giuseppe Zampino
- Department of Life Sciences and Public HealthUniversità Cattolica del Sacro CuoreRomeItaly
- Center for Rare Disease and Congenital Defects, Fondazione Policlinico Universitario Agostino GemelliIRCCSRomeItaly
| | - Ilaria Contaldo
- Child Neurology and Psychiatric Unit, Fondazione Policlinico Universitario Agostino GemelliIRCCSRomeItaly
| | - Domenica Immacolata Battaglia
- Department of Life Sciences and Public HealthUniversità Cattolica del Sacro CuoreRomeItaly
- Child Neurology and Psychiatric Unit, Fondazione Policlinico Universitario Agostino GemelliIRCCSRomeItaly
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15
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Slovis JC, Bach A, Beaulieu F, Zuckerberg G, Topjian A, Kirschen MP. Neuromonitoring after Pediatric Cardiac Arrest: Cerebral Physiology and Injury Stratification. Neurocrit Care 2024; 40:99-115. [PMID: 37002474 PMCID: PMC10544744 DOI: 10.1007/s12028-023-01685-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 01/30/2023] [Indexed: 04/03/2023]
Abstract
BACKGROUND Significant long-term neurologic disability occurs in survivors of pediatric cardiac arrest, primarily due to hypoxic-ischemic brain injury. Postresuscitation care focuses on preventing secondary injury and the pathophysiologic cascade that leads to neuronal cell death. These injury processes include reperfusion injury, perturbations in cerebral blood flow, disturbed oxygen metabolism, impaired autoregulation, cerebral edema, and hyperthermia. Postresuscitation care also focuses on early injury stratification to allow clinicians to identify patients who could benefit from neuroprotective interventions in clinical trials and enable targeted therapeutics. METHODS In this review, we provide an overview of postcardiac arrest pathophysiology, explore the role of neuromonitoring in understanding postcardiac arrest cerebral physiology, and summarize the evidence supporting the use of neuromonitoring devices to guide pediatric postcardiac arrest care. We provide an in-depth review of the neuromonitoring modalities that measure cerebral perfusion, oxygenation, and function, as well as neuroimaging, serum biomarkers, and the implications of targeted temperature management. RESULTS For each modality, we provide an in-depth review of its impact on treatment, its ability to stratify hypoxic-ischemic brain injury severity, and its role in neuroprognostication. CONCLUSION Potential therapeutic targets and future directions are discussed, with the hope that multimodality monitoring can shift postarrest care from a one-size-fits-all model to an individualized model that uses cerebrovascular physiology to reduce secondary brain injury, increase accuracy of neuroprognostication, and improve outcomes.
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Affiliation(s)
- Julia C Slovis
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, 6 Wood - 6105, Philadelphia, PA, 19104, USA.
| | - Ashley Bach
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, 6 Wood - 6105, Philadelphia, PA, 19104, USA
| | - Forrest Beaulieu
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, 6 Wood - 6105, Philadelphia, PA, 19104, USA
| | - Gabe Zuckerberg
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, 6 Wood - 6105, Philadelphia, PA, 19104, USA
| | - Alexis Topjian
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, 6 Wood - 6105, Philadelphia, PA, 19104, USA
| | - Matthew P Kirschen
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, 6 Wood - 6105, Philadelphia, PA, 19104, USA
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Foltyn-Dumitru M, Schell M, Sahm F, Kessler T, Wick W, Bendszus M, Rastogi A, Brugnara G, Vollmuth P. Advancing noninvasive glioma classification with diffusion radiomics: Exploring the impact of signal intensity normalization. Neurooncol Adv 2024; 6:vdae043. [PMID: 38596719 PMCID: PMC11003539 DOI: 10.1093/noajnl/vdae043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024] Open
Abstract
Background This study investigates the influence of diffusion-weighted Magnetic Resonance Imaging (DWI-MRI) on radiomic-based prediction of glioma types according to molecular status and assesses the impact of DWI intensity normalization on model generalizability. Methods Radiomic features, compliant with image biomarker standardization initiative standards, were extracted from preoperative MRI of 549 patients with diffuse glioma, known IDH, and 1p19q-status. Anatomical sequences (T1, T1c, T2, FLAIR) underwent N4-Bias Field Correction (N4) and WhiteStripe normalization (N4/WS). Apparent diffusion coefficient (ADC) maps were normalized using N4 or N4/z-score. Nine machine-learning algorithms were trained for multiclass prediction of glioma types (IDH-mutant 1p/19q codeleted, IDH-mutant 1p/19q non-codeleted, IDH-wild type). Four approaches were compared: Anatomical, anatomical + ADC naive, anatomical + ADC N4, and anatomical + ADC N4/z-score. The University of California San Francisco (UCSF)-glioma dataset (n = 409) was used for external validation. Results Naïve-Bayes algorithms yielded overall the best performance on the internal test set. Adding ADC radiomics significantly improved AUC from 0.79 to 0.86 (P = .011) for the IDH-wild-type subgroup, but not for the other 2 glioma subgroups (P > .05). In the external UCSF dataset, the addition of ADC radiomics yielded a significantly higher AUC for the IDH-wild-type subgroup (P ≤ .001): 0.80 (N4/WS anatomical alone), 0.81 (anatomical + ADC naive), 0.81 (anatomical + ADC N4), and 0.88 (anatomical + ADC N4/z-score) as well as for the IDH-mutant 1p/19q non-codeleted subgroup (P < .012 each). Conclusions ADC radiomics can enhance the performance of conventional MRI-based radiomic models, particularly for IDH-wild-type glioma. The benefit of intensity normalization of ADC maps depends on the type and context of the used data.
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Affiliation(s)
- Martha Foltyn-Dumitru
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
- Division for Computational Neuroimaging, Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Marianne Schell
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
- Division for Computational Neuroimaging, Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Felix Sahm
- Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tobias Kessler
- Department of Neurology and Neurooncology Program, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wolfgang Wick
- Department of Neurology and Neurooncology Program, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Aditya Rastogi
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
- Division for Computational Neuroimaging, Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Gianluca Brugnara
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
- Division for Computational Neuroimaging, Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Philipp Vollmuth
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
- Division for Computational Neuroimaging, Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
- Division for Computational Radiology & Clinical AI, Department of Neuroradiology, Bonn University Hospital, Bonn, Germany
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17
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Yao T, Rheault F, Cai LY, Nath V, Asad Z, Newlin N, Cui C, Deng R, Ramadass K, Shafer A, Resnick S, Schilling K, Landman BA, Huo Y. Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imaging. J Med Imaging (Bellingham) 2024; 11:014005. [PMID: 38188934 PMCID: PMC10768686 DOI: 10.1117/1.jmi.11.1.014005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 11/04/2023] [Accepted: 12/14/2023] [Indexed: 01/09/2024] Open
Abstract
Purpose Diffusion-weighted magnetic resonance imaging (DW-MRI) is a critical imaging method for capturing and modeling tissue microarchitecture at a millimeter scale. A common practice to model the measured DW-MRI signal is via fiber orientation distribution function (fODF). This function is the essential first step for the downstream tractography and connectivity analyses. With recent advantages in data sharing, large-scale multisite DW-MRI datasets are being made available for multisite studies. However, measurement variabilities (e.g., inter- and intrasite variability, hardware performance, and sequence design) are inevitable during the acquisition of DW-MRI. Most existing model-based methods [e.g., constrained spherical deconvolution (CSD)] and learning-based methods (e.g., deep learning) do not explicitly consider such variabilities in fODF modeling, which consequently leads to inferior performance on multisite and/or longitudinal diffusion studies. Approach In this paper, we propose a data-driven deep CSD method to explicitly constrain the scan-rescan variabilities for a more reproducible and robust estimation of brain microstructure from repeated DW-MRI scans. Specifically, the proposed method introduces a three-dimensional volumetric scanner-invariant regularization scheme during the fODF estimation. We study the Human Connectome Project (HCP) young adults test-retest group as well as the MASiVar dataset (with inter- and intrasite scan/rescan data). The Baltimore Longitudinal Study of Aging dataset is employed for external validation. Results From the experimental results, the proposed data-driven framework outperforms the existing benchmarks in repeated fODF estimation. By introducing the contrastive loss with scan/rescan data, the proposed method achieved a higher consistency while maintaining higher angular correlation coefficients with the CSD modeling. The proposed method is assessing the downstream connectivity analysis and shows increased performance in distinguishing subjects with different biomarkers. Conclusion We propose a deep CSD method to explicitly reduce the scan-rescan variabilities, so as to model a more reproducible and robust brain microstructure from repeated DW-MRI scans. The plug-and-play design of the proposed approach is potentially applicable to a wider range of data harmonization problems in neuroimaging.
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Affiliation(s)
- Tianyuan Yao
- Vanderbilt University, Department of Computer Science, Nashville, Tennessee, United States
| | - Francois Rheault
- Université de Sherbrooke, Department of Computer Science, Sherbrooke, Québec, Canada
| | - Leon Y. Cai
- Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States
| | - Vishwesh Nath
- NVIDIA Corporation, Bethesda, Maryland, United States
| | - Zuhayr Asad
- Vanderbilt University, Department of Computer Science, Nashville, Tennessee, United States
| | - Nancy Newlin
- Vanderbilt University, Department of Computer Science, Nashville, Tennessee, United States
| | - Can Cui
- Vanderbilt University, Department of Computer Science, Nashville, Tennessee, United States
| | - Ruining Deng
- Vanderbilt University, Department of Computer Science, Nashville, Tennessee, United States
| | - Karthik Ramadass
- Vanderbilt University, Department of Computer Science, Nashville, Tennessee, United States
| | - Andrea Shafer
- National Institute on Aging, Laboratory of Behavioral Neuroscience, Baltimore, Maryland, United States
| | - Susan Resnick
- National Institute on Aging, Laboratory of Behavioral Neuroscience, Baltimore, Maryland, United States
| | - Kurt Schilling
- Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States
| | - Bennett A. Landman
- Vanderbilt University, Department of Computer Science, Nashville, Tennessee, United States
- Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States
- Vanderbilt University, Department of Electrical and Computer Engineering, Nashville, Tennessee, United States
| | - Yuankai Huo
- Vanderbilt University, Department of Computer Science, Nashville, Tennessee, United States
- Vanderbilt University, Department of Electrical and Computer Engineering, Nashville, Tennessee, United States
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18
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Lee J, Kim GJ, Bashir S, Lee E, Ohn SH, Jung KI, Yoo WK. Heterogeneous Diffusion Metrics Patterns in Delayed Encephalopathy After Acute Carbon Monoxide Poisoning: A Case Report. BRAIN & NEUROREHABILITATION 2023; 16:e34. [PMID: 38047103 PMCID: PMC10689858 DOI: 10.12786/bn.2023.16.e34] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 10/12/2023] [Accepted: 10/16/2023] [Indexed: 12/05/2023] Open
Abstract
Delayed encephalopathy (DE) following acute carbon monoxide (CO) poisoning is characterized by a wide range of neurological symptoms, including akinetic mutism, cognitive impairment, and gait disturbances. Herein, we reported the case of a 61-year-old patient with DE after acute CO poisoning, who displayed heterogeneous patterns of cortical and subcortical structural integrity on diffusion tensor imaging (DTI). Four distinct patterns of diffusion tensor metrics (fractional anisotropy [FA] and mean diffusivity [MD]) were observed in the patient compared to age-matched controls (a decrease in FA and an increase in MD, a decrease in FA only, an increase in MD only, and an increase in FA and MD). This study revealed heterogeneous patterns of cortical and subcortical damage associated with DE after CO poisoning, contributing to a deeper understanding of the diverse clinical symptoms observed in this patient.
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Affiliation(s)
- Jeongeun Lee
- Department of Physical Medicine and Rehabilitation, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Gyu Jin Kim
- Department of Physical Medicine and Rehabilitation, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Shahid Bashir
- Neuroscience Center, King Fahad Specialist Hospital Dammam, Dammam, Saudi Arabia
| | - Eunjee Lee
- Department of Physical Medicine and Rehabilitation, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Suk Hoon Ohn
- Department of Physical Medicine and Rehabilitation, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Kwang-Ik Jung
- Department of Physical Medicine and Rehabilitation, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Woo-Kyoung Yoo
- Department of Physical Medicine and Rehabilitation, Hallym University Sacred Heart Hospital, Anyang, Korea
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Marazzi R, Carloni A, Moioli M, Pollard D, Bernardini M, Specchi S. Magnetic resonance imaging features of presumed intracerebral hemorrhages in dogs show a significant association between apparent diffusion coefficient peripheral layer and estimated bleeding age and commonly exhibit a T2 blackout effect. Vet Radiol Ultrasound 2023; 64:1055-1062. [PMID: 37850418 DOI: 10.1111/vru.13305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 09/09/2023] [Accepted: 09/15/2023] [Indexed: 10/19/2023] Open
Abstract
In humans, intracranial hematomas commonly exhibit a T2 blackout effect (BOE) with diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) maps. Published descriptions of comparable findings in dogs with intracerebral hemorrhages are lacking. Aims of this retrospective observational study were to describe the appearance of presumed intracerebral hemorrhages (PICHs) in DWI regardless of the underlying etiology and presence of T2 blackout effect (T2 BOE) in dogs and to test potential associations with DWI and ADC findings versus the estimated age of the hemorrhage. Magnetic resonance imaging studies of dogs with presumed PICHs based on the combined evaluation of T2*W gradient echo and/or susceptibility-weighted imaging, T1W and T2W images were enrolled. The age of the hemorrhage was estimated according to published criteria based on T1W and T2W sequences. The association between the age of the hemorrhage and the appearance of each finding (stratified or mixed), their signal intensities in DWI/ADC and the presence of the T2 BOE, was evaluated. A total of 35 PICHs were included: 13 of them were stratified and 22 had a mixed aspect. Only the ADC appearance of the peripheral layer in stratified PICHs was significantly associated with estimated age of the hemorrhage (p = .033), being hypointense in all hyperacute cases and hypo-/isointense in acute cases. The T2 BOE was present in 29/35 PICHs. The DWI sequences showed limited utility to date PICHs in this study population. As in humans, the T2 BOE was commonly seen in DWI and ADC maps of dogs with PICHs.
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Affiliation(s)
- Roberto Marazzi
- Diagnostic Imaging Department, Veterinary Hospital "I Portoni Rossi", Anicura Italy, Zola Predosa, Italy
| | - Andrea Carloni
- Diagnostic Imaging Department, Veterinary Hospital "I Portoni Rossi", Anicura Italy, Zola Predosa, Italy
- Antech Imaging Services, Fountain Valley, California, USA
| | - Melania Moioli
- Diagnostic Imaging Department, Veterinary Hospital "I Portoni Rossi", Anicura Italy, Zola Predosa, Italy
- Antech Imaging Services, Fountain Valley, California, USA
| | | | - Marco Bernardini
- Diagnostic Imaging Department, Veterinary Hospital "I Portoni Rossi", Anicura Italy, Zola Predosa, Italy
- Department of Animal Medicine, Production and Health, Clinical Section, University of Padua, Padua, Italy
| | - Swan Specchi
- Diagnostic Imaging Department, Veterinary Hospital "I Portoni Rossi", Anicura Italy, Zola Predosa, Italy
- Antech Imaging Services, Fountain Valley, California, USA
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20
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Krawchuk LJ, Sharrock MF. Prognostic Neuroimaging Biomarkers in Acute Vascular Brain Injury and Traumatic Brain Injury. Semin Neurol 2023; 43:699-711. [PMID: 37802120 DOI: 10.1055/s-0043-1775790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/08/2023]
Abstract
Prognostic imaging biomarkers after acute brain injury inform treatment decisions, track the progression of intracranial injury, and can be used in shared decision-making processes with families. Herein, key established biomarkers and prognostic scoring systems are surveyed in the literature, and their applications in clinical practice and clinical trials are discussed. Biomarkers in acute ischemic stroke include computed tomography (CT) hypodensity scoring, diffusion-weighted lesion volume, and core infarct size on perfusion imaging. Intracerebral hemorrhage biomarkers include hemorrhage volume, expansion, and location. Aneurysmal subarachnoid biomarkers include hemorrhage grading, presence of diffusion-restricting lesions, and acute hydrocephalus. Traumatic brain injury CT scoring systems, contusion expansion, and diffuse axonal injury grading are reviewed. Emerging biomarkers including white matter disease scoring, diffusion tensor imaging, and the automated calculation of scoring systems and volumetrics are discussed.
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Affiliation(s)
- Lindsey J Krawchuk
- Department of Neurology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Matthew F Sharrock
- Department of Neurology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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21
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Dan Q, Jiang X, Wang R, Dai Z, Sun D. Biogenic Imaging Contrast Agents. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2207090. [PMID: 37401173 PMCID: PMC10477908 DOI: 10.1002/advs.202207090] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 06/08/2023] [Indexed: 07/05/2023]
Abstract
Imaging contrast agents are widely investigated in preclinical and clinical studies, among which biogenic imaging contrast agents (BICAs) are developing rapidly and playing an increasingly important role in biomedical research ranging from subcellular level to individual level. The unique properties of BICAs, including expression by cells as reporters and specific genetic modification, facilitate various in vitro and in vivo studies, such as quantification of gene expression, observation of protein interactions, visualization of cellular proliferation, monitoring of metabolism, and detection of dysfunctions. Furthermore, in human body, BICAs are remarkably helpful for disease diagnosis when the dysregulation of these agents occurs and can be detected through imaging techniques. There are various BICAs matched with a set of imaging techniques, including fluorescent proteins for fluorescence imaging, gas vesicles for ultrasound imaging, and ferritin for magnetic resonance imaging. In addition, bimodal and multimodal imaging can be realized through combining the functions of different BICAs, which helps overcome the limitations of monomodal imaging. In this review, the focus is on the properties, mechanisms, applications, and future directions of BICAs.
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Affiliation(s)
- Qing Dan
- Shenzhen Key Laboratory for Drug Addiction and Medication SafetyDepartment of UltrasoundInstitute of Ultrasonic MedicinePeking University Shenzhen HospitalShenzhen Peking University‐The Hong Kong University of Science and Technology Medical CenterShenzhen518036P. R. China
| | - Xinpeng Jiang
- Department of Biomedical EngineeringCollege of Future TechnologyPeking UniversityBeijing100871P. R. China
| | - Run Wang
- Shenzhen Key Laboratory for Drug Addiction and Medication SafetyDepartment of UltrasoundInstitute of Ultrasonic MedicinePeking University Shenzhen HospitalShenzhen Peking University‐The Hong Kong University of Science and Technology Medical CenterShenzhen518036P. R. China
| | - Zhifei Dai
- Department of Biomedical EngineeringCollege of Future TechnologyPeking UniversityBeijing100871P. R. China
| | - Desheng Sun
- Shenzhen Key Laboratory for Drug Addiction and Medication SafetyDepartment of UltrasoundInstitute of Ultrasonic MedicinePeking University Shenzhen HospitalShenzhen Peking University‐The Hong Kong University of Science and Technology Medical CenterShenzhen518036P. R. China
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22
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Garvey AA, El-Shibiny H, Yang E, Inder TE, El-Dib M. Differences between early and late MRI in infants with neonatal encephalopathy following therapeutic hypothermia. Pediatr Res 2023; 94:1011-1017. [PMID: 37024670 DOI: 10.1038/s41390-023-02580-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 02/24/2023] [Accepted: 02/27/2023] [Indexed: 04/08/2023]
Abstract
BACKGROUND MRI is the gold standard test to define brain injury in infants with neonatal encephalopathy(NE). As imaging findings evolve considerably over the first week, early imaging may not fully reflect the final nature of the injury. This study aimed to compare day 4 versus second week MRI in infants with NE. METHODS Retrospective cohort study including infants who received therapeutic hypothermia(TH) for NE and had two MRIs: early (≤7days) and late (>7days). MRIs were clinically reported and also reviewed by study investigators. RESULTS 94infants with NE were included (40mild,49moderate,5severe). Twenty-four infants(26%) had a normal early scan of which 3/24(13%) had injury noted on repeat MRI. Seventy infants(74%) had abnormal findings noted on early MRI, of which 4/70(6%) had further evolution of injury while 11/70(16%) had complete resolution of findings. Applying a grading system resulted in a change of grade in 7 infants. CONCLUSION In infants who received TH for NE, 19% had changes noted between their early and late MRIs. While the impact on predicting neurodevelopmental outcome was not studied, relying solely on early MRI may overestimate injury in a proportion of infants and miss injury in others. Combining early and late MRI allows for better characterization of injury. IMPACT MRI is the gold standard tool to define brain injury in infants with NE, however, imaging findings evolve considerably over the first week of life. Most centers perform a single MRI on day 4 after rewarming. In our cohort, 19% of infants had a notable change in their MRI findings between early (within the first week) and late (beyond the first week) scans. Relying solely on early MRI may overestimate injury in a proportion of infants and miss injury in others. Combining early and late MRI following hypothermia allows for better characterization of brain injury.
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Affiliation(s)
- Aisling A Garvey
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- INFANT Research Centre, Cork, Ireland
| | - Hoda El-Shibiny
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Edward Yang
- Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Terrie E Inder
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Childrens Hospital of Orange County, University of California Irvine, Irvine, CA, USA
| | - Mohamed El-Dib
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
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23
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Shinotsuka T, Miyazawa T, Karasawa K, Ozeki Y, Yasui M, Nuriya M. Stimulated Raman scattering microscopy reveals a unique and steady nature of brain water dynamics. CELL REPORTS METHODS 2023; 3:100519. [PMID: 37533646 PMCID: PMC10391342 DOI: 10.1016/j.crmeth.2023.100519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 04/26/2023] [Accepted: 06/07/2023] [Indexed: 08/04/2023]
Abstract
The biological activities of substances in the brain are shaped by their spatiotemporal dynamics in brain tissues, all of which are regulated by water dynamics. In contrast to solute dynamics, water dynamics have been poorly characterized, owing to the lack of appropriate analytical tools. To overcome this limitation, we apply stimulated Raman scattering multimodal multiphoton microscopy to live brain tissues. The microscopy system allows for the visualization of deuterated water, fluorescence-labeled solutes, and cellular structures at high spatiotemporal resolution, revealing that water moves faster than fluorescent molecules in brain tissues. Detailed analyses demonstrate that water, unlike solutes, diffuses homogeneously in brain tissues without differences between the intra- and the extracellular routes. Furthermore, we find that the water dynamics are steady during development and ischemia, when diffusions of solutes are severely affected. Thus, our approach reveals routes and uniquely robust properties of water diffusion in brain tissues.
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Affiliation(s)
- Takanori Shinotsuka
- Department of Pharmacology, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku, Tokyo 160-8582, Japan
| | - Tsuyoshi Miyazawa
- Department of Pharmacology, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku, Tokyo 160-8582, Japan
| | - Keiko Karasawa
- Department of Pharmacology, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku, Tokyo 160-8582, Japan
| | - Yasuyuki Ozeki
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan
| | - Masato Yasui
- Department of Pharmacology, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku, Tokyo 160-8582, Japan
| | - Mutsuo Nuriya
- Department of Pharmacology, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku, Tokyo 160-8582, Japan
- Graduate School of Environment and Information Sciences, Yokohama National University, 79-1 Tokiwadai, Hodogaya, Yokohama, Kanagawa 240-8501, Japan
- Precursory Research for Embryonic Science and Technology (PRESTO), Japan Science and Technology Agency (JST), 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan
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24
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Jaju A, Li Y, Dahmoush H, Gottardo NG, Laughlin S, Mirsky D, Panigrahy A, Sabin ND, Shaw D, Storm PB, Poussaint TY, Patay Z, Bhatia A. Imaging of pediatric brain tumors: A COG Diagnostic Imaging Committee/SPR Oncology Committee/ASPNR White Paper. Pediatr Blood Cancer 2023; 70 Suppl 4:e30147. [PMID: 36519599 PMCID: PMC10466217 DOI: 10.1002/pbc.30147] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 12/16/2022]
Abstract
Tumors of the central nervous system are the most common solid malignancies in children and the most common cause of pediatric cancer-related mortality. Imaging plays a central role in diagnosis, staging, treatment planning, and response assessment of pediatric brain tumors. However, the substantial variability in brain tumor imaging protocols across institutions leads to variability in patient risk stratification and treatment decisions, and complicates comparisons of clinical trial results. This White Paper provides consensus-based imaging recommendations for evaluating pediatric patients with primary brain tumors. The proposed brain magnetic resonance imaging protocol recommendations balance advancements in imaging techniques with the practicality of deployment across most imaging centers.
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Affiliation(s)
- Alok Jaju
- Department of Medical Imaging, Ann and Robert H Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Yi Li
- UCSF Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - Hisham Dahmoush
- Department of Radiology, Lucile Packard Children's Hospital at Stanford, Palo Alto, California, USA
| | - Nicholas G Gottardo
- Department of Paediatric and Adolescent Oncology and Haematology, Perth Children's Hospital, Brain Tumour Research Programme, Telethon Kids Institute, Perth, Western Australia, Australia
| | - Suzanne Laughlin
- Department of Diagnostic Imaging, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - David Mirsky
- Department of Radiology, Children's Hospital Colorado, Aurora, Colorado, USA
| | - Ashok Panigrahy
- Department of Radiology, Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Noah D Sabin
- Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Dennis Shaw
- Department of Radiology, Seattle Children's Hospital, Seattle, Washington, USA
| | - Phillip B Storm
- Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Tina Young Poussaint
- Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Zoltan Patay
- Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Aashim Bhatia
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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25
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Velnar T, Kocivnik N, Bosnjak R. Clinical infections in neurosurgical oncology: An overview. World J Clin Cases 2023; 11:3418-3433. [PMID: 37383906 PMCID: PMC10294202 DOI: 10.12998/wjcc.v11.i15.3418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 03/05/2023] [Accepted: 04/13/2023] [Indexed: 05/25/2023] Open
Abstract
Central nervous system (CNS) infections are urgent conditions with high morbidity and mortality. Bacteria, viruses, parasites or fungi can cause them. Intracranial infections after craniotomies are an important complication of treatment, especially in oncological patients that are already immunologically compromised due to the disease and treatment. The consequence of CNS infections in oncological patients includes longer treatment with antibiotics, additional surgical procedures, higher treatment costs and poorer treatment outcomes. Additionally, the management of primary pathology may be prolonged or postponed as a result of the active infection. By introducing new and improved protocols, tightening controls on their implementation, constantly educating the entire team involved in patient treatment and educating both patients and relatives, the incidence of infections can be reduced effectively.
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Affiliation(s)
- Tomaz Velnar
- Department of Neurosurgery, University Medical Centre Ljubljana, Ljubljana 1000, Slovenia
- Alma Mater Europaea - ECM Maribor, Maribor 2000, Slovenia
| | - Nina Kocivnik
- Faculty of Pharmacy, University of Ljubljana, Ljubljana 1000, Slovenia
| | - Roman Bosnjak
- Department of Neurosurgery, University Medical Centre Ljubljana, Ljubljana 1000, Slovenia
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Kim Y, Lee SK, Kim JY, Kim JH. Pitfalls of Diffusion-Weighted Imaging: Clinical Utility of T2 Shine-through and T2 Black-out for Musculoskeletal Diseases. Diagnostics (Basel) 2023; 13:diagnostics13091647. [PMID: 37175036 PMCID: PMC10177815 DOI: 10.3390/diagnostics13091647] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/30/2023] [Accepted: 05/04/2023] [Indexed: 05/15/2023] Open
Abstract
Diffusion-weighted imaging (DWI) with an apparent diffusion coefficient (ADC) value is a relatively new magnetic resonance imaging (MRI) sequence that provides functional information on the lesion by measuring the microscopic movement of water molecules. While numerous studies have evaluated the promising role of DWI in musculoskeletal radiology, most have focused on tumorous diseases related to cellularity. This review article aims to summarize DWI-acquisition techniques, considering pitfalls such as T2 shine-through and T2 black-out, and their usefulness in interpreting musculoskeletal diseases with imaging. DWI is based on the Brownian motion of water molecules within the tissue, achieved by applying diffusion-sensitizing gradients. Regardless of the cellularity of the lesion, several pitfalls must be considered when interpreting DWI with ADC values in musculoskeletal radiology. This review discusses the application of DWI in musculoskeletal diseases, including tumor and tumor mimickers, as well as non-tumorous diseases, with a focus on lesions demonstrating T2 shine-through and T2 black-out effects. Understanding these pitfalls of DWI can provide clinically useful information, increase diagnostic accuracy, and improve patient management when added to conventional MRI in musculoskeletal diseases.
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Affiliation(s)
- Yuri Kim
- Department of Radiology, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Seul Ki Lee
- Department of Radiology, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Jee-Young Kim
- Department of Radiology, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Jun-Ho Kim
- Department of Orthopaedic Surgery, Center for Joint Diseases, Kyung Hee University Hospital at Gangdong, Seoul 05278, Republic of Korea
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Cacciaguerra L, Morris P, Tobin WO, Chen JJ, Banks SA, Elsbernd P, Redenbaugh V, Tillema JM, Montini F, Sechi E, Lopez-Chiriboga AS, Zalewski N, Guo Y, Rocca MA, Filippi M, Pittock SJ, Lucchinetti CF, Flanagan EP. Tumefactive Demyelination in MOG Ab-Associated Disease, Multiple Sclerosis, and AQP-4-IgG-Positive Neuromyelitis Optica Spectrum Disorder. Neurology 2023; 100:e1418-e1432. [PMID: 36690455 PMCID: PMC10065219 DOI: 10.1212/wnl.0000000000206820] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 12/02/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Studies on tumefactive brain lesions in myelin oligodendrocyte glycoprotein-immunoglobulin G (IgG)-associated disease (MOGAD) are lacking. We sought to characterize the frequency clinical, laboratory, and MRI features of these lesions in MOGAD and compare them with those in multiple sclerosis (MS) and aquaporin-4-IgG-positive neuromyelitis optica spectrum disorder (AQP4+NMOSD). METHODS We retrospectively searched 194 patients with MOGAD and 359 patients with AQP4+NMOSD with clinical/MRI details available from the Mayo Clinic databases and included those with ≥1 tumefactive brain lesion (maximum transverse diameter ≥2 cm) on MRI. Patients with tumefactive MS were identified using the Mayo Clinic medical record linkage system. Binary multivariable stepwise logistic regression identified independent predictors of MOGAD diagnosis; Cox proportional regression models were used to assess the risk of relapsing disease and gait aid in patients with tumefactive MOGAD vs those with nontumefactive MOGAD. RESULTS We included 108 patients with tumefactive demyelination (MOGAD = 43; AQP4+NMOSD = 16; and MS = 49). Tumefactive lesions were more frequent among those with MOGAD (43/194 [22%]) than among those with AQP4+NMOSD (16/359 [5%], p < 0.001). Risk of relapse and need for gait aid were similar in tumefactive and nontumefactive MOGAD. Clinical features more frequent in MOGAD than in MS included headache (18/43 [42%] vs 10/49 [20%]; p = 0.03) and somnolence (12/43 [28%] vs 2/49 [4%]; p = 0.003), the latter also more frequent than in AQP4+NMOSD (0/16 [0%]; p = 0.02). The presence of peripheral T2-hypointense rim, T1-hypointensity, diffusion restriction (particularly an arc pattern), ring enhancement, and Baló-like or cystic appearance favored MS over MOGAD (p ≤ 0.001). MRI features were broadly similar in MOGAD and AQP4+NMOSD, except for more frequent diffusion restriction in AQP4+NMOSD (10/15 [67%]) than in MOGAD (11/42 [26%], p = 0.005). CSF analysis revealed less frequent positive oligoclonal bands in MOGAD (2/37 [5%]) than in MS (30/43 [70%], p < 0.001) and higher median white cell count in MOGAD than in MS (33 vs 6 cells/μL, p < 0.001). At baseline, independent predictors of MOGAD diagnosis were the presence of somnolence/headache, absence of T2-hypointense rim, lack of T1-hypointensity, and no diffusion restriction (Nagelkerke R 2 = 0.67). Tumefactive lesion resolution was more common in MOGAD than in MS or AQP4+NMOSD and improved model performance. DISCUSSION Tumefactive lesions are frequent in MOGAD but not associated with a worse prognosis. The clinical, MRI, and CSF attributes of tumefactive MOGAD differ from those of tumefactive MS and are more similar to those of tumefactive AQP4+NMOSD with the exception of lesion resolution, which favors MOGAD.
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Affiliation(s)
- Laura Cacciaguerra
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - Pearse Morris
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - W Oliver Tobin
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - John J Chen
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - Samantha A Banks
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - Paul Elsbernd
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - Vyanka Redenbaugh
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - Jan-Mendelt Tillema
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - Federico Montini
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - Elia Sechi
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - A Sebastian Lopez-Chiriboga
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - Nicholas Zalewski
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - Yong Guo
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - Maria A Rocca
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - Massimo Filippi
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - Sean J Pittock
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - Claudia F Lucchinetti
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN
| | - Eoin P Flanagan
- From the Department of Neurology and Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology (L.C., W.O.T., J.J.C., S.A.B., V.R., J.-M.T., Y.G., S.J.P., C.F.L., E.P.F.), Mayo Clinic, Rochester, MN; Vita-Salute San Raffaele University (L.C., F.M., M.A.R., M.F.); Neuroimaging Research Unit (L.C., M.A.R., M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Radiology (P.M.), Department of Ophthalmology (J.J.C.), Mayo Clinic, Rochester, MN; Department of Neurology (P.E.), San Antonio Military Medical Center, Fort Sam Houston, TX; Neurology Unit (F.M., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute, Milan; Department of Medical, Surgical and Experimental Sciences (E.S.), University of Sassari, Italy; Department of Neurology (A.S.L.-C.), Mayo Clinic, Jacksonville, FL; Department of Neurology (N.Z.), Mayo Clinic, Scottsdale, AZ; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Laboratory Medicine and Pathology (S.J.P., E.P.F.), Mayo Clinic, Rochester, MN.
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28
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Usmani E, Shapira Y, Patel S, Psaltis AJ, Selva D. Case Report: Late spontaneous orbital subperiosteal hematoma after endoscopic sinonasal tumor resection. Int J Surg Case Rep 2023; 104:107954. [PMID: 36863262 PMCID: PMC9986515 DOI: 10.1016/j.ijscr.2023.107954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 01/09/2023] [Accepted: 02/23/2023] [Indexed: 03/04/2023] Open
Abstract
INTRODUCTION AND IMPORTANCE We report a case of spontaneous subperiosteal orbital hematoma many years after endoscopic sinonasal resection of malignancy. CASE PRESENTATION A 50-year-old female with a six-year history of endoscopic sinonasal resection of a poorly differentiated neuroendocrine tumor presented with two days of worsening frontal headache and left periocular swelling. A subperiosteal abscess was initially suspected on CT; however, MRI sequences revealed changes consistent with the diagnosis of hematoma. A conservative approach was justified based on the clinico-radiologic features. Progressive clinical resolution was noted over three weeks. Two monthly follow-up MRI revealed resolution of the orbital findings with no features to indicate recurrence of malignancy. CLINICAL DISCUSSION Subperiosteal pathologies can be clinically challenging to differentiate. Differing radiodensities on CT may help differentiate between them but is not always reliable. MRI is more sensitive and is the preferred imaging modality. CONCLUSION Spontaneous orbital hematomas are self-resolving, and surgical exploration may be avoided in the absence of complications. Therefore, it is beneficial to recognize it as a potential late complication of extensive endoscopic endonasal surgery. Characteristic features on MRI can aid diagnosis.
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Affiliation(s)
- Eiman Usmani
- Discipline of Ophthalmology and Visual Science, University of Adelaide, Adelaide, South Australia, Australia; Department of Ophthalmology, Royal Adelaide Hospital and South Australian Institute of Ophthalmology, Adelaide, South Australia, Australia.
| | - Yinon Shapira
- Discipline of Ophthalmology and Visual Science, University of Adelaide, Adelaide, South Australia, Australia; Department of Ophthalmology, Royal Adelaide Hospital and South Australian Institute of Ophthalmology, Adelaide, South Australia, Australia
| | - Sandy Patel
- Department of Radiology, Royal Adelaide Hospital, Port Road, Adelaide, South Australia, Australia
| | - Alkis J Psaltis
- Department of Surgery-Otorhinolaryngology Head and Neck Surgery, Central Adelaide Local Health Network and the University of Adelaide, Adelaide, SA, Australia
| | - Dinesh Selva
- Discipline of Ophthalmology and Visual Science, University of Adelaide, Adelaide, South Australia, Australia; Department of Ophthalmology, Royal Adelaide Hospital and South Australian Institute of Ophthalmology, Adelaide, South Australia, Australia
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Ladenhauf VK, Galijasevic M, Kerschbaumer J, Freyschlag CF, Nowosielski M, Birkl-Toeglhofer AM, Haybaeck J, Gizewski ER, Mangesius S, Grams AE. Peritumoral ADC Values Correlate with the MGMT Methylation Status in Patients with Glioblastoma. Cancers (Basel) 2023; 15:cancers15051384. [PMID: 36900177 PMCID: PMC10000073 DOI: 10.3390/cancers15051384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/14/2023] [Accepted: 02/20/2023] [Indexed: 02/24/2023] Open
Abstract
Different results have been reported concerning the relationship of the apparent diffusion coefficient (ADC) values and the status of methylation as the promoter gene for the enzyme methylguanine-DNA methyltransferase (MGMT) in patients with glioblastomas (GBs). The aim of this study was to investigate if there were correlations between the ADC values of the enhancing tumor and peritumoral areas of GBs and the MGMT methylation status. In this retrospective study, we included 42 patients with newly diagnosed unilocular GB with one MRI study prior to any treatment and histopathological data. After co-registration of ADC maps with T1-weighted sequences after contrast administration and dynamic susceptibility contrast (DSC) perfusion, we manually selected one region-of-interest (ROI) in the enhancing and perfused tumor and one ROI in the peritumoral white matter. Both ROIs were mirrored in the healthy hemisphere for normalization. In the peritumoral white matter, absolute and normalized ADC values were significantly higher in patients with MGMT-unmethylated tumors, as compared to patients with MGMT-methylated tumors (absolute values p = 0.002, normalized p = 0.0007). There were no significant differences in the enhancing tumor parts. The ADC values in the peritumoral region correlated with MGMT methylation status, confirmed by normalized ADC values. In contrast to other studies, we could not find a correlation between the ADC values or the normalized ADC values and the MGMT methylation status in the enhancing tumor parts.
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Affiliation(s)
- Valentin Karl Ladenhauf
- Department of Neuroradiology, Medical University of Innsbruck, 6020 Innsbruck, Austria
- Neuroimaging Research Core Facility, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Malik Galijasevic
- Department of Neuroradiology, Medical University of Innsbruck, 6020 Innsbruck, Austria
- Neuroimaging Research Core Facility, Medical University of Innsbruck, 6020 Innsbruck, Austria
- Correspondence: ; Tel.: +43-50-504-83248
| | - Johannes Kerschbaumer
- Department of Neurosurgery, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | | | - Martha Nowosielski
- Department of Neurology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Anna Maria Birkl-Toeglhofer
- Institute of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Johannes Haybaeck
- Institute of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, 6020 Innsbruck, Austria
- Diagnostic & Research Center for Molecular BioMedicine, Institute of Pathology, Medical University of Graz, 8010 Graz, Austria
| | - Elke Ruth Gizewski
- Department of Neuroradiology, Medical University of Innsbruck, 6020 Innsbruck, Austria
- Neuroimaging Research Core Facility, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Stephanie Mangesius
- Department of Neuroradiology, Medical University of Innsbruck, 6020 Innsbruck, Austria
- Neuroimaging Research Core Facility, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Astrid Ellen Grams
- Department of Neuroradiology, Medical University of Innsbruck, 6020 Innsbruck, Austria
- Neuroimaging Research Core Facility, Medical University of Innsbruck, 6020 Innsbruck, Austria
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30
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Yao T, Rheault F, Cai LY, Nath V, Asad Z, Newlin N, Cui C, Deng R, Ramadass K, Schilling K, Landman BA, Huo Y. Deep Constrained Spherical Deconvolution for Robust Harmonization. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2023; 12464:124640W. [PMID: 37228707 PMCID: PMC10208219 DOI: 10.1117/12.2654398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Diffusion weighted magnetic resonance imaging (DW-MRI) captures tissue microarchitecture at millimeter scale. With recent advantages in data sharing, large-scale multi-site DW-MRI datasets are being made available for multi-site studies. However, DW-MRI suffers from measurement variability (e.g., inter- and intra-site variability, hardware performance, and sequence design), which consequently yields inferior performance on multi-site and/or longitudinal diffusion studies. In this study, we propose a novel, deep learning-based method to harmonize DW-MRI signals for a more reproducible and robust estimation of microstructure. Our method introduces a data-driven scanner-invariant regularization scheme to model a more robust fiber orientation distribution function (FODF) estimation. We study the Human Connectome Project (HCP) young adults test-retest group as well as the MASiVar dataset (with inter- and intra-site scan/rescan data). The 8th order spherical harmonics coefficients are employed as data representation. The results show that the proposed harmonization approach maintains higher angular correlation coefficients (ACC) with the ground truth signals (0.954 versus 0.942), while achieves higher consistency of FODF signals for intra-scanner data (0.891 versus 0.826), as compared with the baseline supervised deep learning scheme. Furthermore, the proposed data-driven framework is flexible and potentially applicable to a wider range of data harmonization problems in neuroimaging.
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Affiliation(s)
- Tianyuan Yao
- Department of Computer Science, Vanderbilt University, Nashville, TN, 37235, USA
| | - Francois Rheault
- Department of Computer Science, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Leon Y Cai
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37212, USA
| | | | - Zuhayr Asad
- Department of Computer Science, Vanderbilt University, Nashville, TN, 37235, USA
| | - Nancy Newlin
- Department of Computer Science, Vanderbilt University, Nashville, TN, 37235, USA
| | - Can Cui
- Department of Computer Science, Vanderbilt University, Nashville, TN, 37235, USA
| | - Ruining Deng
- Department of Computer Science, Vanderbilt University, Nashville, TN, 37235, USA
| | - Karthik Ramadass
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kurt Schilling
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, 37235, USA
| | - Bennett A. Landman
- Department of Computer Science, Vanderbilt University, Nashville, TN, 37235, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37212, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, 37235, USA
| | - Yuankai Huo
- Department of Computer Science, Vanderbilt University, Nashville, TN, 37235, USA
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, 37235, USA
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31
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A new perspective of molecular diffusion by nuclear magnetic resonance. Sci Rep 2023; 13:1703. [PMID: 36717666 PMCID: PMC9887074 DOI: 10.1038/s41598-023-27389-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 01/02/2023] [Indexed: 01/31/2023] Open
Abstract
The diffusion-weighted NMR signal acquired using Pulse Field Gradient (PFG) techniques, allows for extrapolating microstructural information from porous materials and biological tissues. In recent years there has been a multiplication of diffusion models expressed by parametric functions to fit the experimental data. However, clear-cut criteria for the model selection are lacking. In this paper, we develop a theoretical framework for the interpretation of NMR attenuation signals in the case of Gaussian systems with stationary increments. The full expression of the Stejskal-Tanner formula for normal diffusing systems is devised, together with its extension to the domain of anomalous diffusion. The range of applicability of the relevant parametric functions to fit the PFG data can be fully determined by means of appropriate checks to ascertain the correctness of the fit. Furthermore, the exact expression for diffusion weighted NMR signals pertaining to Brownian yet non-Gaussian processes is also derived, accompanied by the proper check to establish its contextual relevance. The analysis provided is particularly useful in the context of medical MRI and clinical practise where the hardware limitations do not allow the use of narrow pulse gradients.
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32
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Menon D, Holla VV, Pal PK. POLG mutation setting off 'FIRES'. Seizure 2023; 104:41-42. [PMID: 35965220 DOI: 10.1016/j.seizure.2022.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 07/24/2022] [Accepted: 07/25/2022] [Indexed: 02/04/2023] Open
Affiliation(s)
- Deepak Menon
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka 560 029, India.
| | - Vikram V Holla
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka 560 029, India
| | - Pramod K Pal
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka 560 029, India
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Kirschen MP, Berman JI, Liu H, Ouyang M, Mondal A, Griffis H, Levow C, Winters M, Lang SS, Huh J, Huang H, Berg RA, Vossough A, Topjian A. Association Between Quantitative Diffusion-Weighted Magnetic Resonance Neuroimaging and Outcome After Pediatric Cardiac Arrest. Neurology 2022; 99:e2615-e2626. [PMID: 36028319 PMCID: PMC9754647 DOI: 10.1212/wnl.0000000000201189] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 07/15/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Diffusion MRI can quantify the extent of hypoxic-ischemic brain injury after cardiac arrest. Our objective was to determine the association between the adult-derived threshold of apparent diffusion coefficient (ADC) <650 × 10-6 mm2/s in >10% of brain tissue and an unfavorable outcome after pediatric cardiac arrest. Since ADC decreases exponentially as a function of increasing age, we determined the association between (1) having >10% of brain tissue below a novel age-dependent ADC threshold, and (2) age-normalized whole-brain mean ADC and unfavorable outcome. METHODS This was a retrospective study of patients aged ≤18 years who had cardiac arrest and a clinically obtained brain MRI within 7 days. The primary outcome was unfavorable neurologic status at hospital discharge based on the Pediatric Cerebral Performance Category score. ADC images were extracted from 3-direction diffusion imaging. We determined whether each patient had >10% of voxels with an ADC below prespecified thresholds. We computed the whole-brain mean ADC for each patient. RESULTS One hundred thirty-four patients were analyzed. Patients with ADC <650 × 10-6 mm2/s in >10% of voxels had 15 times higher odds (95% CI 5-65) of an unfavorable outcome compared with patients with ADC <650 × 10-6 mm2/s (area under the receiver operating characteristic curve [AUROC] 0.72 [95% CI 0.63-0.80]). These ADC criteria had a sensitivity and specificity of 0.49 and 0.94, respectively, and positive and negative predictive values of 0.93 and 0.52, respectively, for an unfavorable outcome. The age-dependent ADC threshold that yielded optimal sensitivity and specificity for unfavorable outcomes was <300 × 10-6 mm2/s below each patient's predicted whole-brain mean ADC. The sensitivity, specificity, and positive and negative predictive values for this ADC threshold were 0.53, 0.96, 0.96, and 0.54, respectively (odds ratio [OR] 26.4 [95% CI 7.5-168.3]; AUROC 0.74 [95% CI 0.66-0.83]). Lower age-normalized whole-brain mean ADC was also associated with an unfavorable outcome (OR 0.42 [0.24-0.64], AUROC 0.76 [95% CI 0.66-0.82]). DISCUSSION Quantitative diffusion thresholds on MRI within 7 days after cardiac arrest were associated with an unfavorable outcome in children. The age-independent ADC threshold was highly specific for predicting an unfavorable outcome. However, the specificity and sensitivity increased when using age-dependent ADC thresholds. Age-dependent ADC thresholds may improve prognostic accuracy and require further investigation in larger cohorts. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that quantitative diffusion-weighted imaging within 7 days postarrest can predict an unfavorable clinical outcome in children.
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Affiliation(s)
- Matthew P Kirschen
- From the Departments of Anesthesiology and Critical Care Medicine (M.P.K., C.L., M.W., J.H., R.A.B., A.T.), and Radiology (J.I.B., M.O., H.H., A.V.); Data Science and Biostatistics Unit (H.L., A.M., H.G.), Department of Biomedical and Health Informatics, and Department of Neurosurgery (S.-S.L.), Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
| | - Jeffrey I Berman
- From the Departments of Anesthesiology and Critical Care Medicine (M.P.K., C.L., M.W., J.H., R.A.B., A.T.), and Radiology (J.I.B., M.O., H.H., A.V.); Data Science and Biostatistics Unit (H.L., A.M., H.G.), Department of Biomedical and Health Informatics, and Department of Neurosurgery (S.-S.L.), Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Hongyan Liu
- From the Departments of Anesthesiology and Critical Care Medicine (M.P.K., C.L., M.W., J.H., R.A.B., A.T.), and Radiology (J.I.B., M.O., H.H., A.V.); Data Science and Biostatistics Unit (H.L., A.M., H.G.), Department of Biomedical and Health Informatics, and Department of Neurosurgery (S.-S.L.), Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Minhui Ouyang
- From the Departments of Anesthesiology and Critical Care Medicine (M.P.K., C.L., M.W., J.H., R.A.B., A.T.), and Radiology (J.I.B., M.O., H.H., A.V.); Data Science and Biostatistics Unit (H.L., A.M., H.G.), Department of Biomedical and Health Informatics, and Department of Neurosurgery (S.-S.L.), Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Antara Mondal
- From the Departments of Anesthesiology and Critical Care Medicine (M.P.K., C.L., M.W., J.H., R.A.B., A.T.), and Radiology (J.I.B., M.O., H.H., A.V.); Data Science and Biostatistics Unit (H.L., A.M., H.G.), Department of Biomedical and Health Informatics, and Department of Neurosurgery (S.-S.L.), Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Heather Griffis
- From the Departments of Anesthesiology and Critical Care Medicine (M.P.K., C.L., M.W., J.H., R.A.B., A.T.), and Radiology (J.I.B., M.O., H.H., A.V.); Data Science and Biostatistics Unit (H.L., A.M., H.G.), Department of Biomedical and Health Informatics, and Department of Neurosurgery (S.-S.L.), Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Cindee Levow
- From the Departments of Anesthesiology and Critical Care Medicine (M.P.K., C.L., M.W., J.H., R.A.B., A.T.), and Radiology (J.I.B., M.O., H.H., A.V.); Data Science and Biostatistics Unit (H.L., A.M., H.G.), Department of Biomedical and Health Informatics, and Department of Neurosurgery (S.-S.L.), Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Madeline Winters
- From the Departments of Anesthesiology and Critical Care Medicine (M.P.K., C.L., M.W., J.H., R.A.B., A.T.), and Radiology (J.I.B., M.O., H.H., A.V.); Data Science and Biostatistics Unit (H.L., A.M., H.G.), Department of Biomedical and Health Informatics, and Department of Neurosurgery (S.-S.L.), Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Shih-Shan Lang
- From the Departments of Anesthesiology and Critical Care Medicine (M.P.K., C.L., M.W., J.H., R.A.B., A.T.), and Radiology (J.I.B., M.O., H.H., A.V.); Data Science and Biostatistics Unit (H.L., A.M., H.G.), Department of Biomedical and Health Informatics, and Department of Neurosurgery (S.-S.L.), Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Jimmy Huh
- From the Departments of Anesthesiology and Critical Care Medicine (M.P.K., C.L., M.W., J.H., R.A.B., A.T.), and Radiology (J.I.B., M.O., H.H., A.V.); Data Science and Biostatistics Unit (H.L., A.M., H.G.), Department of Biomedical and Health Informatics, and Department of Neurosurgery (S.-S.L.), Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Hao Huang
- From the Departments of Anesthesiology and Critical Care Medicine (M.P.K., C.L., M.W., J.H., R.A.B., A.T.), and Radiology (J.I.B., M.O., H.H., A.V.); Data Science and Biostatistics Unit (H.L., A.M., H.G.), Department of Biomedical and Health Informatics, and Department of Neurosurgery (S.-S.L.), Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Robert A Berg
- From the Departments of Anesthesiology and Critical Care Medicine (M.P.K., C.L., M.W., J.H., R.A.B., A.T.), and Radiology (J.I.B., M.O., H.H., A.V.); Data Science and Biostatistics Unit (H.L., A.M., H.G.), Department of Biomedical and Health Informatics, and Department of Neurosurgery (S.-S.L.), Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Arastoo Vossough
- From the Departments of Anesthesiology and Critical Care Medicine (M.P.K., C.L., M.W., J.H., R.A.B., A.T.), and Radiology (J.I.B., M.O., H.H., A.V.); Data Science and Biostatistics Unit (H.L., A.M., H.G.), Department of Biomedical and Health Informatics, and Department of Neurosurgery (S.-S.L.), Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Alexis Topjian
- From the Departments of Anesthesiology and Critical Care Medicine (M.P.K., C.L., M.W., J.H., R.A.B., A.T.), and Radiology (J.I.B., M.O., H.H., A.V.); Data Science and Biostatistics Unit (H.L., A.M., H.G.), Department of Biomedical and Health Informatics, and Department of Neurosurgery (S.-S.L.), Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
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Abdelgawad MS, Kayed MH, Reda MIS, Abdelzaher E, Farhoud AH, Elsebaie N. Contribution of advanced neuro-imaging (MR diffusion, perfusion and proton spectroscopy) in differentiation between low grade gliomas GII and MR morphologically similar non neoplastic lesions. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2022. [DOI: 10.1186/s43055-022-00695-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Non-neoplastic brain lesions can be misdiagnosed as low-grade gliomas. Conventional magnetic resonance (MR) imaging may be non-specific. Additional imaging modalities such as spectroscopy (MRS), perfusion and diffusion imaging aid in diagnosis of such lesions. However, contradictory and overlapping results are still present. Hence, our purpose was to evaluate the role of advanced neuro-imaging in differentiation between low-grade gliomas (WHO grade II) and MR morphologically similar non-neoplastic lesions and to prove which modality has the most accurate results in differentiation.
Results
All patients were classified into two main groups: patients with low-grade glioma (n = 12; mean age, 38.8 ± 16; 8 males) and patients with non-neoplastic lesions (n = 27; mean age, 36.6 ± 15; 19 males) based on the histopathological and clinical–radiological diagnosis. Using ROC curve analysis, a threshold value of 0.93 for rCBV (AUC = 0.875, PPV = 92%, NPV = 71.4%) and a threshold value of 2.5 for Cho/NAA (AUC = 0.829, PPV = 92%, NPV = 71.4%) had 85.2% sensitivity and 83.3% specificity for predicting neoplastic lesions. The area under the curve (AUC) of ROC analysis was good for relative cerebral blood volume (rCBV) and Cho/NAA ratios (> 0.80) and fair for Cho/Cr and NAA/Cr ratios (0.70–0.80). When the rCBV measurements were combined with MRS ratios, significant improvement was observed in the area under the curve (AUC) (0.969) with improved diagnostic accuracy (89.7%) and sensitivity (88.9%).
Conclusions
Evaluation of rCBV and metabolite ratios at MRS, particularly Cho/NAA ratio, may be helpful in differentiating low-grade gliomas from non-neoplastic lesions. The combination of dynamic susceptibility contrast (DSC) perfusion and MRS can significantly improve the diagnostic accuracy and can help avoiding the need for an invasive biopsy.
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35
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Inoue K, Hikone M, Oishio M, Noji S, Sugiyama K. Klebsiella pneumoniae sepsis complicated with central nervous system involvement: A case series. Clin Case Rep 2022; 10:e6793. [PMID: 36578795 PMCID: PMC9780422 DOI: 10.1002/ccr3.6793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/29/2022] [Accepted: 12/08/2022] [Indexed: 12/24/2022] Open
Abstract
Central nervous system (CNS) infection with Klebsiella pneumoniae can be a complication of invasive liver abscess syndrome; however, CNS infections due to K. pneumoniae without liver abscesses are rare. We report three fatal cases of CNS infection due to K. pneumoniae that lacked liver abscesses during the initial investigation.
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Affiliation(s)
- Ken Inoue
- Tertiary Emergency Medical Center (Trauma and Critical Center)Tokyo Metropolitan Bokutoh HospitalTokyoJapan
| | - Mayu Hikone
- Tertiary Emergency Medical Center (Trauma and Critical Center)Tokyo Metropolitan Bokutoh HospitalTokyoJapan
| | - Masato Oishio
- Tertiary Emergency Medical Center (Trauma and Critical Center)Tokyo Metropolitan Bokutoh HospitalTokyoJapan
| | - Saki Noji
- Tertiary Emergency Medical Center (Trauma and Critical Center)Tokyo Metropolitan Bokutoh HospitalTokyoJapan
| | - Kazuhiro Sugiyama
- Tertiary Emergency Medical Center (Trauma and Critical Center)Tokyo Metropolitan Bokutoh HospitalTokyoJapan
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Law-Ye B, de Truchis P, Peyrassou D, Force G, Carlier RY. Elevation of brain ADC (apparent diffusion coefficient) in HIV-associated neurocognitive disorders and evolution after treatment: A pilot study. J Neurol Sci 2022; 442:120446. [PMID: 36265262 DOI: 10.1016/j.jns.2022.120446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 09/05/2022] [Accepted: 09/27/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Thirty to 50% of HIV-infected patients develop HIV-Associated Neurocognitive Disorders (HAND) despite virological control. The previously published Neuro+3 study showed their neurocognitive status can be improved by intensifying antiviral therapy. Our study is a part of the Neuro3+ study and aims to study apparent diffusion coefficient (ADC) as a biomarker for neurological improvement. PATIENTS AND METHODS We prospectively included 31 patients with HAND. They received therapy with better CNS Penetration Effectiveness (CPE) score with two-year follow-up. Cognitive status was assessed at day 0 (D0) and week 96 (W96) using Frascati 3-stage classification and Global Deficit Score (GDS). Brain MRI at D0 and W96 assessed morphological data (white matter hyperintensities, opportunistic infections, ischemic lesions, atrophy) and measured whole brain apparent diffusion coefficient (ADC). We compared their data with a control group of 20 healthy patients with similar ages and sex ratio. RESULTS After ARV intensification, cognitive status was significantly improved: GDS (n = 1,4 vs 1,0 p = 0.01) and Frascati scale (2HAD/22MND/7ANI vs 1HAD/8MND/17ANI p = 0.001). Mean ADC was significantly higher in patients at inclusion than in controls (0.88 × 10-3 mm2/s ± 0.06 vs 0.81 × 10-3 mm2/s ± 0.04, p = 0.0001). ADC decreased after treatment (0.88 × 10-3 mm2/s ± 0.06 vs 0.85 × 10-3 mm2/s ± 0.06 (p = 0,04). In subgroup analysis, ADC significantly decreased in clinically improved patients (0.89 × 10-3 mm2/s ± 0.07 vs 0.85 × 10-3 mm2/s ± 0.07 (p = 0,03)) and did not significantly change in non-clinically improved patients (0.86 × 10-3 mm2/s ± 0.07 vs 0.84 × 10-3 mm2/s ± 0.07 (p = 0,31)). After treatment, there was no significant difference between patients and controls (0.85 × 10-3 mm2/s ± 0.06 vs 0.81 × 10-3 mm2/s ± 0.04, p = 0.17). CONCLUSION Whole-brain ADC is a good biomarker of HIV-associated neurocognitive disorders. It is significantly increased in patients with HAND compared with controls and significantly decreases after treatment. It is all the more important to have a quantitative biomarker as conventional imaging does not contribute to the diagnosis.
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Affiliation(s)
- Bruno Law-Ye
- Neuroradiology Department, Pitié-Salpêtrière University Hospital, APHP, Paris, France.
| | - Pierre de Truchis
- Infectiology Department, Garches University Hospital, Garches, France; UMR 1179, UVSQ-Paris-Saclay University, France
| | - David Peyrassou
- Radiology Department, DMU Smart Imaging, Raymond Poincaré University Hospital, APHP, Garches, France
| | - Gilles Force
- Infectiology Department, Garches University Hospital, Garches, France
| | - Robert-Yves Carlier
- Radiology Department, DMU Smart Imaging, Raymond Poincaré University Hospital, APHP, Garches, France; APHP-Université Paris-Saclay, Garches, France
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Okuchi S, Fushimi Y, Yoshida K, Nakajima S, Sakata A, Hinoda T, Otani S, Sagawa H, Zhou K, Yamao Y, Okawa M, Nakamoto Y. Comparison of TGSE-BLADE DWI, RESOLVE DWI, and SS-EPI DWI in healthy volunteers and patients after cerebral aneurysm clipping. Sci Rep 2022; 12:17689. [PMID: 36271294 PMCID: PMC9586944 DOI: 10.1038/s41598-022-22760-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 10/19/2022] [Indexed: 01/18/2023] Open
Abstract
Diffusion-weighted magnetic resonance imaging is prone to have susceptibility artifacts in an inhomogeneous magnetic field. We compared distortion and artifacts among three diffusion acquisition techniques (single-shot echo-planar imaging [SS-EPI DWI], readout-segmented EPI [RESOLVE DWI], and 2D turbo gradient- and spin-echo diffusion-weighted imaging with non-Cartesian BLADE trajectory [TGSE-BLADE DWI]) in healthy volunteers and in patients with a cerebral aneurysm clip. Seventeen healthy volunteers and 20 patients who had undergone surgical cerebral aneurysm clipping were prospectively enrolled. SS-EPI DWI, RESOLVE DWI, and TGSE-BLADE DWI of the brain were performed using 3 T scanners. Distortion was the least in TGSE-BLADE DWI, and lower in RESOLVE DWI than SS-EPI DWI near air-bone interfaces in healthy volunteers (P < 0.001). Length of clip-induced artifact and distortion near the metal clip were the least in TGSE-BLADE DWI, and lower in RESOLVE DWI than SS-EPI DWI (P < 0.01). Image quality scores for geometric distortion, susceptibility artifacts, and overall image quality in both healthy volunteers and patients were the best in TGSE-BLADE DWI, and better in RESOLVE DWI than SS-EPI DWI (P < 0.001). Among the three DWI sequences, image quality was the best in TGSE-BLADE DWI in terms of distortion and artifacts, in both healthy volunteers and patients with an aneurysm clip.
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Affiliation(s)
- Sachi Okuchi
- grid.258799.80000 0004 0372 2033Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 6068507 Japan
| | - Yasutaka Fushimi
- grid.258799.80000 0004 0372 2033Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 6068507 Japan
| | - Kazumichi Yoshida
- grid.258799.80000 0004 0372 2033Department of Neurosurgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Satoshi Nakajima
- grid.258799.80000 0004 0372 2033Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 6068507 Japan
| | - Akihiko Sakata
- grid.258799.80000 0004 0372 2033Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 6068507 Japan
| | - Takuya Hinoda
- grid.258799.80000 0004 0372 2033Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 6068507 Japan
| | - Sayo Otani
- grid.258799.80000 0004 0372 2033Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 6068507 Japan
| | - Hajime Sagawa
- grid.411217.00000 0004 0531 2775Division of Clinical Radiology Service, Kyoto University Hospital, Kyoto, Japan
| | - Kun Zhou
- Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China
| | - Yukihiro Yamao
- grid.258799.80000 0004 0372 2033Department of Neurosurgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masakazu Okawa
- grid.258799.80000 0004 0372 2033Department of Neurosurgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yuji Nakamoto
- grid.258799.80000 0004 0372 2033Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 6068507 Japan
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Bai Y, Yuan M, Mi H, Zhang F, Liu X, Lu C, Bao Y, Li Y, Lu Q. Hypothermia reduces glymphatic transportation in traumatic edematous brain assessed by intrathecal dynamic contrast-enhanced MRI. Front Neurol 2022; 13:957055. [PMID: 36341130 PMCID: PMC9632734 DOI: 10.3389/fneur.2022.957055] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 10/03/2022] [Indexed: 02/28/2024] Open
Abstract
The glymphatic system has recently been shown to clear brain extracellular solutes and can be extensively impaired after traumatic brain injury (TBI). Despite hypothermia being identified as a protective method for the injured brain via minimizing the formation of edema in the animal study, little is known about how hypothermia affects the glymphatic system following TBI. We use dynamic contrast-enhanced MRI (DCE-MRI) following cisterna magna infusion with a low molecular weight contrast agent to track glymphatic transport in male Sprague-Dawley rats following TBI with hypothermia treatment and use diffusion-weighted imaging (DWI) sequence to identify edema after TBI, and further distinguish between vasogenic and cytotoxic edema. We found that hypothermia could attenuate brain edema, as demonstrated by smaller injured lesions and less vasogenic edema in most brain subregions. However, in contrast to reducing cerebral edema, hypothermia exacerbated the reduction of efficiency of glymphatic transportation after TBI. This deterioration of glymphatic drainage was present brain-wide and showed hemispherical asymmetry and regional heterogeneity across the brain, associated with vasogenic edema. Moreover, our data show that glymphatic transport reduction and vasogenic edema are closely related to reducing perivascular aquaporin-4 (AQP4) expression. The suppression of glymphatic transportation might eliminate the benefits of brain edema reduction induced by hypothermia and provide an alternative pathophysiological factor indicating injury to the brain after TBI. Thus, this study poses a novel emphasis on the potential role of hypothermia in managing severe TBI.
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Affiliation(s)
- Yingnan Bai
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital and Institute of Biomedical Sciences, Fudan University, Shanghai, China
| | - Mingyuan Yuan
- Department of Radiology, Affiliated Zhoupu Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Honglan Mi
- Department of Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Fengchen Zhang
- Department of Neurosurgery, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiangyu Liu
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chen Lu
- Shanghai Wei Yu International School, Shanghai, China
| | - Yinghui Bao
- Department of Neurosurgery, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuehua Li
- Department of Radiology, Affiliated Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Qing Lu
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Radiology, Shanghai East Hospital Tongji University, Shanghai, China
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Kobayashi M. The utility of diffusion-weighted imaging in patients with spinal cord infarction: difference from the findings of neuromyelitis optica spectrum disorder. BMC Neurol 2022; 22:382. [PMID: 36221057 PMCID: PMC9552435 DOI: 10.1186/s12883-022-02903-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 09/27/2022] [Indexed: 12/05/2022] Open
Abstract
Background Magnetic resonance imaging (MRI) plays a crucial role in diagnosing spinal cord infarction (SCI). However, the findings are often indistinguishable from those of other intramedullary diseases, such as neuromyelitis optica spectrum disorder (NMOSD). Although diffusion-weighted imaging (DWI) is a promising technique, the utility for discriminating SCI from NMOSD remains unclear because the DWI findings of acute NMOSD lesions have not been investigated in detail. Methods Clinical and MRI findings were retrospectively evaluated in 15 and 12 patients with acute SCI and NMOSD, respectively. First, clinical characteristics were compared between the SCI and NMOSD groups. Second, MRI abnormalities were examined to find differences between these groups. Third, in the SCI group, factors influencing T2 and DWI abnormalities were analyzed using the mixed-effects logistic regression analysis. Results The proportion of female patients was higher in the NMOSD group (92%) than in the SCI (40%). The time from symptom onset to nadir was smaller in the SCI group (median [interquartile range]; 4 [0.1–8.3] hours) than in the NMOSD (252 [162–576]). On T2-weighted images, SCI lesions had smaller length than NMOSD (2 [1–2] and 5 [2–7] vertebral segments, respectively). Focal lesions within the T9–L2 level were found only in patients with SCI. DWI hyperintensity was observed both in the SCI (frequency, 100%) and NMOSD (60%) groups. On apparent diffusion coefficient (ADC) maps, the hyperintensities of SCI had corresponding hypointensities, whereas those of NMOSD were isointense and a large portion of NMOSD lesions had hyperintense signals. Owl’s eyes sign and pencil-like hyperintensity, typically reported as T2 findings suggestive of SCI, were also found on DWI. Posterior linear hyperintensity was frequently detected on DWI in patients with posterior spinal artery infarction. The presence of MRI abnormality revealing SCI was modeled with the time from symptom onset, imaging sequence and plane, and affected vascular territory. Conclusions DWI and ADC maps help distinguish SCI from NMOSD. The time from symptom onset, imaging sequence, and imaging plane should be considered when MRI findings are interpreted in patients with suspected SCI.
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Affiliation(s)
- Makoto Kobayashi
- Department of Neurology, Asahi General Hospital, 1326 I, Asahi, Chiba, 289-2511, Japan.
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Effects of Insular Cortex on Post-Stroke Dysphagia: A Systematic Review and Meta Analysis. Brain Sci 2022; 12:brainsci12101334. [PMID: 36291268 PMCID: PMC9599629 DOI: 10.3390/brainsci12101334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 09/21/2022] [Accepted: 09/28/2022] [Indexed: 11/17/2022] Open
Abstract
Objective: To investigate the relationship of lobar and deep brain regions with post-stroke dysphagia (PSD). Method: The databases of Medline, Embase, Web of Science, and Cochrane Library were searched from the establishment to May 2022. Studies that investigated the effects of lesions in lobar and deep brain regions on swallowing function after stroke were screened. The primary outcomes were PSD-related brain regions (including aspiration-related and oral transit time-related brain regions). The secondary outcomes were the incidence rate of PSD. The brain regions with the most overlap in the included studies were considered to be most relevant to PSD, and were presented as percentages. Data were compared utilizing the t-tests for continuous variables and χ2 for frequency-based variables. Result: A total of 24 studies and 2306 patients were included. The PSD-related lobar and deep brain regions included the insular cortex, frontal lobe, temporal gyrus, basal ganglia, postcentral, precentral, precuneus, corona radiate, etc. Among these brain regions, the insular cortex was most frequently reported (taking up 54.2%) in the included studies. Furthermore, the total incidence rate of PSD was around 40.4%, and the incidence of male was nearly 2.57 times as much as that of female (χ2 = 196.17, p < 0.001). Conclusions: In lobar and deep brain regions, the insular cortex may be most relevant to PSD and aspiration, which may be a potentially promising target in the treatment of PSD.
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Khorasani A, Kafieh R, Saboori M, Tavakoli MB. Glioma segmentation with DWI weighted images, conventional anatomical images, and post-contrast enhancement magnetic resonance imaging images by U-Net. Phys Eng Sci Med 2022; 45:925-934. [PMID: 35997927 DOI: 10.1007/s13246-022-01164-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 07/16/2022] [Indexed: 11/24/2022]
Abstract
Glioma segmentation is believed to be one of the most important stages of treatment management. Recent developments in magnetic resonance imaging (MRI) protocols have led to a renewed interest in using automatic glioma segmentation with different MRI image weights. U-Net is a major area of interest within the field of automatic glioma segmentation. This paper examines the impact of different input MRI image-weight on the U-Net output performance for glioma segmentation. One hundred forty-nine glioma patients were scanned with a 1.5T MRI scanner. The main MRI image-weights acquired are diffusion-weighted imaging (DWI) weighted images (b50, b500, b1000, Apparent diffusion coefficient (ADC) map, Exponential apparent diffusion coefficient (eADC) map), anatomical image-weights (T2, T1, T2-FLAIR), and post enhancement image-weights (T1Gd). The U-Net and data augmentation are used to segment the glioma tumors. Having the Dice coefficient and accuracy enabled us to compare our results with the previous study. The first set of analyses examined the impact of epoch number on the accuracy of U-Net, and n_epoch = 20 was selected for U-Net training. The mean Dice coefficient for b50, b500, b1000, ADC map, eADC map, T2, T1, T2-FLAIR, and T1Gd image weights for glioma segmentation with U-Net were calculated 0.892, 0.872, 0.752, 0.931, 0.944, 0.762, 0.721, 0.896, 0.694 respectively. This study has found that, DWI image-weights have a higher diagnostic value for glioma segmentation with U-Net in comparison with anatomical image-weights and post enhancement image-weights. The results of this investigation show that ADC and eADC maps have higher performance for glioma segmentation with U-Net.
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Affiliation(s)
- Amir Khorasani
- Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Rahele Kafieh
- Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.,Department of Engineering, Durham University, Durham, UK
| | - Masih Saboori
- Department of Neurosurgery, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohamad Bagher Tavakoli
- Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
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A Preliminary Study of Alterations in Iron Disposal and Neural Activity in Ischemic Stroke. BIOMED RESEARCH INTERNATIONAL 2022; 2022:4552568. [PMID: 35971446 PMCID: PMC9375706 DOI: 10.1155/2022/4552568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 07/20/2022] [Indexed: 11/17/2022]
Abstract
Purpose The study aimed to evaluate the postrehabilitation changes in deep gray matter (DGM) nuclei, corticospinal tract (CST), and motor cortex area, involved in motor tasks in patients with ischemic stroke. Methods Three patients participated in this study, who had experienced an ischemic stroke on the left side of the brain. They underwent a standard rehabilitation program for four consecutive weeks, including transcranial direct current stimulation (tDCS), neuromuscular electrical stimulation (NMES), and occupational therapy. The patients' motor ability was evaluated by Fugl-Meyer assessment-upper extremity (FMA-UE) and Wolf motor function test (WMFT). Multimodal magnetic resonance imaging (MRI) was acquired from the patients by a 3 Tesla machine before and after the rehabilitation. The magnetic susceptibility changes were examined in DGM nuclei including the bilateral caudate (CA), putamen (PT), globus pallidus (GP), and thalamus (TH) using quantitative susceptibility mapping (QSM). Functional MRI (fMRI) in the motor cortex areas was acquired to evaluate the postrehab functional motor activity. The three-dimensional corticospinal tract (CST) was reconstructed using diffusion-weighted imaging (DWI) and diffusion tensor tractography (DTT), and the fractional anisotropy (FA) was measured along the tract. Ultimately, the relationship between the structural and functional changes was evaluated in CST and motor cortex. Results Postrehabilitation FMA-UE and WMFT scores increased for all patients compared to the prerehabilitation. QSM analysis revealed increasing in susceptibility values in GP and CA in all patients at the ipsilesional hemisphere. By fMRI analysis, the ipsilesional hemisphere demonstrated an increase in functional activity in motor areas for all 3 patients. In the ipsilesional hemisphere, the fractional anisotropy (FA) was increased in CST in two patients, while the mean diffusivity (MD) was decreased in CA in a patient, in PT and TH in another patient, and in PT in two patients. Conclusion This preliminary study demonstrates that the magnetic susceptibility may decrease at some ipsilesional DGM nuclei after tDCS, NMES, and occupational therapy for patients with ischemic stroke, suggesting a drop in the level of iron deposition, which may be associated with an increase in the level of activity in motor cortex after rehabilitation.
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Berger A, Tzarfati GG, Serafimova M, Valdes P, Meller A, Korn A, Levy NK, Aviram D, Ram Z, Grossman R. Clinical and prognostic implications of rim restriction following glioma surgery. Sci Rep 2022; 12:12874. [PMID: 35896589 PMCID: PMC9329326 DOI: 10.1038/s41598-022-16717-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 07/14/2022] [Indexed: 11/17/2022] Open
Abstract
Rim restriction surrounding the resection cavity of glioma is often seen on immediate post-op diffusion-weighted imaging (DWI). The etiology and clinical impact of rim restriction are unknown. We evaluated the incidence, risk factors and clinical consequences of this finding. We evaluated patients that underwent surgery for low-grade glioma (LGG) and glioblastoma (GBM) without stroke on post-operative imaging. Analyses encompassed pre- and postoperative clinical, radiological, intraoperative monitoring, survival, functional and neurocognitive outcomes. Between 2013 and 2017, 63 LGG and 209 GBM patients (272 in total) underwent surgical resection and were included in our cohort. Post-op rim restriction was demonstrated in 68 patients, 32% (n = 20) of LGG and 23% (n = 48) of GBM patients. Risk factors for restriction included temporal tumors in GBM (p = 0.025) and insular tumors in LGG (p = 0.09), including longer surgery duration in LGG (p = 0.008). After a 1-year follow-up, LGG patients operated on their dominant with post-op restriction had a higher rate of speech deficits (46 vs 9%, p = 0.004). Rim restriction on postoperative imaging is associated with longer duration of glioma surgery and potentially linked to brain retraction. It apparently has no direct clinical consequences, but is linked to higher rates of speech deficits in LGG dominant-side surgeries.
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Affiliation(s)
- Assaf Berger
- Department of Neurosurgery, Tel Aviv Medical Center, 6 Weizmann St., Tel Aviv, 6423906, Israel.
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
- Center for Advanced Radiosurgery, NYU Langone Medical Center, New York University, 530 First Avenue, New York, NY, 10016, USA.
| | | | - Marga Serafimova
- Department of Neurosurgery, Tel Aviv Medical Center, 6 Weizmann St., Tel Aviv, 6423906, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Pablo Valdes
- Department of Neurosurgery, Tel Aviv Medical Center, 6 Weizmann St., Tel Aviv, 6423906, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Aaron Meller
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Akiva Korn
- Department of Neurosurgery, Tel Aviv Medical Center, 6 Weizmann St., Tel Aviv, 6423906, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Naomi Kahana Levy
- Department of Neurosurgery, Tel Aviv Medical Center, 6 Weizmann St., Tel Aviv, 6423906, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Daniel Aviram
- Division of Anesthesiology, Tel-Aviv University, Tel-Aviv, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Zvi Ram
- Department of Neurosurgery, Tel Aviv Medical Center, 6 Weizmann St., Tel Aviv, 6423906, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Rachel Grossman
- Department of Neurosurgery, Tel Aviv Medical Center, 6 Weizmann St., Tel Aviv, 6423906, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
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Yogendran LV, Kalelioglu T, Donahue JH, Ahmad H, Phillips KA, Calautti NM, Lopes MB, Asthagiri AR, Purow B, Schiff D, Patel SH, Fadul CE. The landscape of brain tumor mimics in neuro-oncology practice. J Neurooncol 2022; 159:499-508. [PMID: 35857249 DOI: 10.1007/s11060-022-04087-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 07/02/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND OBJECTIVE Differentiating neoplastic and non-neoplastic brain lesions is essential to make management recommendations and convey prognosis, but the distinction between brain tumors and their mimics in practice may prove challenging. The aim of this study is to provide the incidence of brain tumor mimics in the neuro-oncology setting and describe this patient subset. METHODS Retrospective study of adult patients referred to the Division of Neuro-oncology for a presumed diagnosis of brain tumor from January 1, 2005 through December 31, 2017, who later satisfied the diagnosis of a non-neoplastic entity based on neuroimaging, clinical course, and/or histopathology evaluation. We classified tumor mimic entities according to clinical, radiologic, and laboratory characteristics that correlated with the diagnosis. RESULTS The incidence of brain tumor mimics was 3.4% (132/3897). The etiologies of the non-neoplastic entities were vascular (35%), inflammatory non-demyelinating (26%), demyelinating (15%), cysts (10%), infectious (9%), and miscellaneous (5%). In our study, 38% of patients underwent biopsy to determine diagnosis, but in 26%, the biopsy was inconclusive. DISCUSSION Brain tumor mimics represent a small but important subset of the neuro-oncology referrals. Vascular, inflammatory, and demyelinating etiologies represent two-thirds of cases. Recognizing the clinical, radiologic and laboratory characteristics of such entities may improve resource utilization and prevent unnecessary as well as potentially harmful diagnostic and therapeutic interventions.
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Affiliation(s)
- Lalanthica V Yogendran
- Division of Neuro-Oncology, Department of Neurology, University of Virginia, P.O. Box 800394, Charlottesville, VA, 22908, USA
| | - Tuba Kalelioglu
- Department of Radiology & Medical Imaging, University of Virginia, Charlottesville, VA, USA
| | - Joseph H Donahue
- Department of Radiology & Medical Imaging, University of Virginia, Charlottesville, VA, USA
| | - Haroon Ahmad
- Department of Neurology, University of Maryland, Baltimore, MD, USA
| | - Kester A Phillips
- Department of Neurology, The Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment at Swedish Neuroscience Institute, Seattle, WA, USA
| | - Nicole M Calautti
- Division of Neuro-Oncology, Department of Neurology, University of Virginia, P.O. Box 800394, Charlottesville, VA, 22908, USA
| | - Maria-Beatriz Lopes
- Department of Pathology, Divisions of Neuropathology and Molecular Diagnostics, University of Virginia, Charlottesville, VA, USA
| | - Ashok R Asthagiri
- Department of Neurosurgery, University of Virginia, Charlottesville, VA, USA
| | - Benjamin Purow
- Division of Neuro-Oncology, Department of Neurology, University of Virginia, P.O. Box 800394, Charlottesville, VA, 22908, USA
| | - David Schiff
- Division of Neuro-Oncology, Department of Neurology, University of Virginia, P.O. Box 800394, Charlottesville, VA, 22908, USA
| | - Sohil H Patel
- Department of Radiology & Medical Imaging, University of Virginia, Charlottesville, VA, USA
| | - Camilo E Fadul
- Division of Neuro-Oncology, Department of Neurology, University of Virginia, P.O. Box 800394, Charlottesville, VA, 22908, USA.
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Du D, Gao Y, Zheng T, Yang L, Wang Z, Shi Q, Wu S, Liang X, Yao X, Lu J, Liu L. The Value of First-Order Features Based on the Apparent Diffusion Coefficient Map in Evaluating the Therapeutic Effect of Low-Intensity Pulsed Ultrasound for Acute Traumatic Brain Injury With a Rat Model. Front Comput Neurosci 2022; 16:923247. [PMID: 35814344 PMCID: PMC9259978 DOI: 10.3389/fncom.2022.923247] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 06/06/2022] [Indexed: 11/22/2022] Open
Abstract
Purpose In order to evaluate the neuroprotective effect of low-intensity pulsed ultrasound (LIPUS) for acute traumatic brain injury (TBI), we studied the potential of apparent diffusion coefficient (ADC) values and ADC-derived first-order features regarding this problem. Methods Forty-five male Sprague Dawley rats (sham group: 15, TBI group: 15, LIPUS treated: 15) were enrolled and underwent magnetic resonance imaging. Scanning layers were acquired using a multi-shot readout segmentation of long variable echo trains (RESOLVE) to decrease distortion. The ultrasound transducer was applied to the designated region in the injured cortical areas using a conical collimator and was filled with an ultrasound coupling gel. Regions of interest were manually delineated in the center of the damaged cortex on the diffusion weighted images (b = 800 s/mm2) layer by layer for the TBI and LIPUS treated groups using the open-source software ITK-SNAP. Before analysis and modeling, the features were normalized using a z-score method, and a logistic regression model with a backward filtering method was employed to perform the modeling. The entire process was completed using the R language. Results During the observation time, the ADC values ipsilateral to the trauma in the TBI and LIPUS groups increased rapidly up to 24 h. After statistical analysis, the 10th percentile, 90th percentile, mean, skewness, and uniformity demonstrated a significant difference among three groups. The receiver operating characteristic curve (ROC) analysis shows that the combined LR model exhibited the highest area under the curve value (AUC: 0.96). Conclusion The combined LR model of first-order features based on the ADC map can acquire a higher diagnostic performance than each feature only in evaluating the neuroprotective effect of LIPUS for TBI. Models based on first-order features may have potential value in predicting the therapeutic effect of LIPUS in clinical practice in the future.
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Affiliation(s)
- Dan Du
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Yajuan Gao
- Department of Radiology, Peking University Third Hospital, Beijing, China
- NMPA Key Laboratory for Evaluation of Medical Imaging Equipment and Technique, Beijing, China
- Peking University Shenzhen Graduate School, Shenzhen, China
| | - Tao Zheng
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Linsha Yang
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Zhanqiu Wang
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Qinglei Shi
- MR Scientific Marketing, Siemens Healthineers Ltd., Beijing, China
| | - Shuo Wu
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Xin Liang
- Graduate School of Chengde Medical University, Chengde, China
| | - Xinyu Yao
- Graduate School of Chengde Medical University, Chengde, China
| | - Jiabin Lu
- Beijing Key Laboratory of Magnetic Resonance Imaging Device and Technique, Beijing, China
| | - Lanxiang Liu
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
- *Correspondence: Lanxiang Liu,
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Wei H, Moffett JR, Amanat M, Fatemi A, Tsukamoto T, Namboodiri AM, Slusher BS. The pathogenesis of, and pharmacological treatment for, Canavan disease. Drug Discov Today 2022; 27:2467-2483. [DOI: 10.1016/j.drudis.2022.05.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 05/05/2022] [Accepted: 05/24/2022] [Indexed: 12/12/2022]
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Gadelha MR, Barbosa MA, Lamback EB, Wildemberg LE, Kasuki L, Ventura N. Pituitary MRI Standard and Advanced Sequences: Role in the Diagnosis and Characterization of Pituitary Adenomas. J Clin Endocrinol Metab 2022; 107:1431-1440. [PMID: 34908114 DOI: 10.1210/clinem/dgab901] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Indexed: 11/19/2022]
Abstract
Pituitary adenomas (PAs) represent the most frequently found lesions in the sellar region; however, several other lesions may be encountered in this region, such as meningiomas, craniopharyngiomas, and aneurysms. High-quality imaging is fundamental for diagnosis, characterization, and guidance of treatment planning of PAs. Sellar magnetic resonance imaging (MRI) is considered the imaging modality of choice for the evaluation of lesions in the sella turcica. The sellar MRI standard protocol includes coronal and sagittal T1-weighted spin-echo sequencing with and without gadolinium-based contrast agent and coronal T2-weighted (T2w) fast-spin echo sequencing. A systematic MRI approach to the pituitary region generally provides information that includes the size and shape of the PA, the presence of cysts or hemorrhage within the tumor, its relationship with the optic pathways and surrounding structures, potential cavernous sinus invasion, sphenoid sinus pneumatization type, and differential diagnosis with other sellar lesions. The standard protocol is sufficient for the evaluation of most cases; however, some advanced techniques (susceptibility imaging, diffusion-weighted imaging, 3D T2w high-resolution sequences, magnetic resonance elastography, perfusion-weighted imaging) may render additional information, which may be important for some cases. In this "approach to the patient" manuscript, we will discuss the use of standard and advanced MRI sequences in the diagnosis and characterization of PAs, including MRI features associated with treatment response that may aid in presurgical evaluation and planning, and red flags that may point to an alternative diagnosis.
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Affiliation(s)
- Mônica R Gadelha
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Rio de Janeiro, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
- Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
| | - Monique Alvares Barbosa
- Radiology Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
- Radiology Unit, Instituto Nacional de Câncer José Alencar Gomes da Silva, Rio de Janeiro, Brazil
- MRI Unit, Clínica de Diagnóstico por imagem, DASA, Rio de Janeiro, Brazil
| | - Elisa Baranski Lamback
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Rio de Janeiro, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
- Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
| | - Luiz Eduardo Wildemberg
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Rio de Janeiro, Brazil
- Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
| | - Leandro Kasuki
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Rio de Janeiro, Brazil
- Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
- Endocrinology Division, Hospital Federal de Bonsucesso, Rio de Janeiro, Brazil
| | - Nina Ventura
- Radiology Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
- Neuroradiology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Rio de Janeiro, Brazil
- Neuroradiology Unit, Samaritano Hospital, Grupo Fleury, Rio de Janeiro, Brazil
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Dermoid Cysts of the Asterion: An Unusual Location for Unusual Dermoids, Radiological Findings and Neurosurgical Implications. Tomography 2022; 8:1141-1147. [PMID: 35448727 PMCID: PMC9028042 DOI: 10.3390/tomography8020093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 03/30/2022] [Accepted: 04/07/2022] [Indexed: 11/16/2022] Open
Abstract
Asterion is an uncommon site for lesions, especially dermoid cysts. We report a case series of three asterional intracranial dermoid cysts, which, to the best of our knowledge, have never been described before. Patients presented with non-specific symptoms and underwent surgical excision of the lesions. It is crucial to correctly diagnose intracranial masses and to identify their relationships with surrounding anatomical structures, especially if the location is unusual as the asterion, to plan surgery. The challenge of this tumor location is to preserve the venous drainage system during surgical procedures, because of the contiguity between the asterion and the transverse–sigmoid junction. Rupturing or damaging of the venous drainage system have been proven to be catastrophic because they lengthen surgical time and present dire consequences for patients. In conclusion, it is crucial to familiarize with atypical dermoid presentation to ensure proper diagnoses and to perform adequate imaging for optimal surgical planning.
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Tumor Connectomics: Mapping the Intra-Tumoral Complex Interaction Network Using Machine Learning. Cancers (Basel) 2022; 14:cancers14061481. [PMID: 35326634 PMCID: PMC8946165 DOI: 10.3390/cancers14061481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 03/01/2022] [Accepted: 03/09/2022] [Indexed: 12/16/2022] Open
Abstract
The high-level relationships that form complex networks within tumors and between surrounding tissue is challenging and not fully understood. To better understand these tumoral networks, we developed a tumor connectomics framework (TCF) based on graph theory with machine learning to model the complex interactions within and around the tumor microenvironment that are detectable on imaging. The TCF characterization model was tested with independent datasets of breast, brain, and prostate lesions with corresponding validation datasets in breast and brain cancer. The TCF network connections were modeled using graph metrics of centrality, average path length (APL), and clustering from multiparametric MRI with IsoSVM. The Matthews Correlation Coefficient (MCC), Area Under the Curve-ROC, and Precision-Recall (AUC-ROC and AUC-PR) were used for statistical analysis. The TCF classified the breast and brain tumor cohorts with an IsoSVM AUC-PR and MCC of 0.86, 0.63 and 0.85, 0.65, respectively. The TCF benign breast lesions had a significantly higher clustering coefficient and degree centrality than malignant TCFs. Grade 2 brain tumors demonstrated higher connectivity compared to Grade 4 tumors with increased degree centrality and clustering coefficients. Gleason 7 prostate lesions had increased betweenness centrality and APL compared to Gleason 6 lesions with AUC-PR and MCC ranging from 0.90 to 0.99 and 0.73 to 0.87, respectively. These TCF findings were similar in the validation breast and brain datasets. In conclusion, we present a new method for tumor characterization and visualization that results in a better understanding of the global and regional connections within the lesion and surrounding tissue.
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DiBella EVR, Sharma A, Richards L, Prabhakaran V, Majersik JJ, HashemizadehKolowri SK. Beyond Diffusion Tensor MRI Methods for Improved Characterization of the Brain after Ischemic Stroke: A Review. AJNR Am J Neuroradiol 2022; 43:661-669. [PMID: 35272983 PMCID: PMC9089249 DOI: 10.3174/ajnr.a7414] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 11/08/2021] [Indexed: 12/22/2022]
Abstract
Ischemic stroke is a worldwide problem, with 15 million people experiencing a stroke annually. MR imaging is a valuable tool for understanding and assessing brain changes after stroke and predicting recovery. Of particular interest is the use of diffusion MR imaging in the nonacute stage 1-30 days poststroke. Thousands of articles have been published on the use of diffusion MR imaging in stroke, including several recent articles reviewing the use of DTI for stroke. The goal of this work was to survey and put into context the recent use of diffusion MR imaging methods beyond DTI, including diffusional kurtosis, generalized fractional anisotropy, spherical harmonics methods, and neurite orientation and dispersion models, in patients poststroke. Early studies report that these types of beyond-DTI methods outperform DTI metrics either in being more sensitive to poststroke changes or by better predicting outcome motor scores. More and larger studies are needed to confirm the improved prediction of stroke recovery with the beyond-DTI methods.
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Affiliation(s)
- E V R DiBella
- From the Departments of Radiology and Imaging Sciences (E.V.R.D., A.S., S.K.H.)
| | - A Sharma
- From the Departments of Radiology and Imaging Sciences (E.V.R.D., A.S., S.K.H.)
| | - L Richards
- Occupational and Recreational Therapies (L.R.)
| | - V Prabhakaran
- Department of Radiology (V.P.), University of Wisconsin, Madison, Wisconsin
| | - J J Majersik
- Neurology (J.J.M.), University of Utah, Salt Lake City, Utah
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