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Simmonds KP, Atem FD, Welch BG, Ifejika NL. Racial and Ethnic Disparities in the Medical Management of Poststroke Complications Among Patients With Acute Stroke. J Am Heart Assoc 2024; 13:e030537. [PMID: 38390802 PMCID: PMC10944023 DOI: 10.1161/jaha.123.030537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 01/04/2024] [Indexed: 02/24/2024]
Abstract
BACKGROUND To inform clinical practice, we sought to identify racial and ethnic differences in the medical management of common poststroke complications. METHODS AND RESULTS A cohort of acutely hospitalized, first-time non-Hispanic White (NHW), non-Hispanic Black, and Hispanic patients with stroke was identified from electronic medical records of 51 large health care organizations (January 1, 2003 to December 5, 2022). Matched propensity scores were used to account for baseline differences. Primary outcomes included receipt of medication(s) associated with the management of the following poststroke complications: arousal/fatigue, spasticity, mood, sleep, neurogenic bladder, neurogenic bowel, and seizure. Differences were measured at 14, 90, and 365 days. Subgroup analyses included differences restricted to patients with ischemic stroke, younger age (<65 years), and stratified by decade (2003-2012 and 2013-2022). Before matching, the final cohort consisted of 348 286 patients with first-time stroke. Matching resulted in 63 722 non-Hispanic Black-NHW pairs and 24 009 Hispanic-NHW pairs. Non-Hispanic Black (versus NHW) patients were significantly less likely to be treated for all poststroke complications, with differences largest for arousal/fatigue (relative risk (RR), 0.58 [95% CI, 0.54-0.62]), spasticity (RR, 0.64 [95% CI, 0.0.62-0.67]), and mood disorders (RR, 0.72 [95% CI, 0.70-0.74]) at 14 days. Hispanic-NHW differences were similar, albeit with smaller magnitudes, with the largest differences present for spasticity (RR, 0.67 [95% CI, 0.63-0.72]), arousal/fatigue (RR, 0.77 [95% CI, 0.70-0.85]), and mood disorders (RR, 0.79 [95% CI, 0.77-0.82]). Subgroup analyses revealed similar patterns for ischemic stroke and patients aged <65 years. Disparities for the current decade remained significant but with smaller magnitudes compared with the prior decade. CONCLUSIONS There are significant racial and ethnic disparities in the treatment of poststroke complications. The differences were greatest at 14 days, outlining the importance of early identification and management.
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Affiliation(s)
- Kent P Simmonds
- Department of Physical Medicine and Rehabilitation UT Southwestern Medical Center Dallas TX USA
| | - Folefac D Atem
- Department of Physical Medicine and Rehabilitation UT Southwestern Medical Center Dallas TX USA
- Department of Biostatistics University of Texas Health Science Center at Houston School of Public Health Houston TX USA
| | - Babu G Welch
- Department of Neurological Surgery UT Southwestern Medical Center Dallas TX USA
| | - Nneka L Ifejika
- Department of Physical Medicine and Rehabilitation UT Southwestern Medical Center Dallas TX USA
- Department of Neurology UT Southwestern Medical Center Dallas TX USA
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Sanchez CV, Krag AE, Barnett S, Welch BG, Rozen SM. Polyetheretherketone Implant Cranioplasty for Large Cranial Defects: A Seven-Year Follow-Up. J Craniofac Surg 2024:00001665-990000000-01387. [PMID: 38421184 DOI: 10.1097/scs.0000000000010064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 01/08/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Goals of a cranioplasty include protection of the brain, restoration of normal appearance, and neurological function improvement. Although choice of materials for cranial remodeling has changed through the years, computer-designed polyetheretherketone (PEEK) implant has gained traction as a preferred material used for cranioplasty. However, long-term outcomes and complications of PEEK implants remain limited. The goal of this study was to report long-term clinical outcomes after PEEK implant cranioplasty. METHODS A retrospective chart review was performed on patients undergoing PEEK cranioplasty between January 2007 and February 2023. Preoperative, intraoperative, and postoperative data were collected and analyzed. RESULTS Twenty-two patients were included in this study. Mean postoperative follow-up time was 83.45 months (range: 35.47-173.87). Before PEEK implant cranioplasty, patients with multiple cranial procedures had undergone a mean of 2.95 procedures. PEEK implant cranioplasty indications were prior implant infection (14) and secondary reconstruction of cranial defect (8). The mean implant size was 180.43 cm2 (range: 68.00-333.06). Four patients received a 2-piece implant. Postoperative complications included: perioperative subgaleal self-resolving fluid collection in 1 patient, hematoma in another, and 3 infections resulting in explantations with successful reinsertion in 2 patients. Four of 5 patients with preoperative history of seizures reported improved seizures and all 4 patients with preoperative syndrome of the trephined reported improved symptoms and neurological function. CONCLUSION At a mean follow-up of 7 years, most PEEK implants continued to provide protection to the brain and consistent symptom relief in patients suffering from prior postcraniectomy/craniotomy sequelae of seizures and syndrome of the trephined.
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Affiliation(s)
- Cristina V Sanchez
- Department of Plastic Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Andreas E Krag
- Department of Plastic Surgery, University of Texas Southwestern Medical Center, Dallas, TX
- Department of Plastic and Breast Surgery, Aarhus University Hospital, Aarhus, Denmark
| | - Sam Barnett
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Babu G Welch
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Shai M Rozen
- Department of Plastic Surgery, University of Texas Southwestern Medical Center, Dallas, TX
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Venkatachalam AM, Hossain SR, Manchi MR, Chavez AA, Abraham AM, Stone S, Truong V, Cobos CU, Khuong T, Atem FD, Welch BG, Ifejika NL. Variability in the Transition of Care to Poststroke Rehabilitation During the First Wave of COVID-19. Am J Phys Med Rehabil 2023; 102:1085-1090. [PMID: 37205606 DOI: 10.1097/phm.0000000000002287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
OBJECTIVE The aim of the study is to evaluate transitions of acute stroke and inpatient rehabilitation facility care during the first wave of COVID-19. DESIGN This is a retrospective observational study (3 comprehensive stroke centers with hospital-based inpatient rehabilitation facilities) between January 1, 2019, and May 31, 2019 (acute stroke = 584, inpatient rehabilitation facility = 210) and January 1, 2020, and May 31, 2020 (acute stroke = 534, inpatient rehabilitation facility = 186). Acute stroke characteristics included stroke type, demographics, and medical comorbidities. The proportion of patients admitted for acute stroke and inpatient rehabilitation facility care was analyzed graphically and using t test assuming unequal variances. RESULTS The proportion of intracerebral hemorrhage patients (28.5% vs. 20.5%, P = 0.035) and those with history of transient ischemic attack (29% vs. 23.9%; P = 0.049) increased during the COVID-19 first wave in 2020. Uninsured acute stroke admissions decreased (7.3% vs. 16.6%) while commercially insured increased (42.7% vs. 33.4%, P < 0.001).Acute stroke admissions decreased from 116.5 per month in 2019 to 98.8 per month in 2020 ( P = 0.008) with no significant difference in inpatient rehabilitation facility admissions (39 per month in 2019, 34.5 per month in 2020; P = 0.66).In 2019, monthly changes in acute stroke admissions coincided with inpatient rehabilitation facility admissions.In 2020, acute stroke admissions decreased 80.6% from January to February, while inpatient rehabilitation facility admissions remained stable. Acute stroke admissions increased 12.8% in March 2020 and remained stable in April, while inpatient rehabilitation facility admissions decreased by 92%. CONCLUSIONS Acute stroke hospitalizations significantly decreased per month during the first wave of COVID-19, with a delayed effect on the transition from acute stroke to inpatient rehabilitation facility care.
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Affiliation(s)
- Aardhra M Venkatachalam
- From the Ross University School of Medicine, Miramar, Florida (AMV); University of Texas Health Science Center at Houston School of Public Health, Dallas, Texas (SRH, FDA); Department of Physical Medicine and Rehabilitation, UT Southwestern Medical Center, Dallas, Texas (MRM, AAC, AMA, NLI); UT Southwestern Medical Center, Dallas, Texas (SS); Department of Neurology, Loma Linda University Medical Center, Loma Linda, California (VT, CUC, TK); Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, Texas (BGW); and Department of Neurology, UT Southwestern Medical Center, Dallas, Texas (NLI)
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4
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Hanel RA, Cortez GM, Coon AL, Kan P, Taussky P, Wakhloo AK, Welch BG, Dogan A, Bain M, De Vries J, Ebersole K, Meyers PM. Surpass Intracranial Aneurysm Embolization System Pivotal Trial to Treat Large or Giant Wide-Neck Aneurysms - SCENT: 3-year outcomes. J Neurointerv Surg 2023; 15:1084-1089. [PMID: 36375835 DOI: 10.1136/jnis-2022-019512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 10/25/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND To report the 3-year safety and effectiveness of the Surpass Streamline flow diverter in the SCENT trial (Surpass Intracranial Aneurysm Embolization System Pivotal Trial to Treat Large or Giant Wide-Neck Aneurysms). METHODS The Surpass Streamline flow diverter device was evaluated in a multicenter, prospective, single-arm, non-randomized interventional trial including patients with uncoilable or previously treated but failed aneurysms of the intracranial internal carotid artery. 3-year outcomes were tabulated with descriptive statistics and compared with 1-year outcomes. RESULTS Of 180 patients in the modified intent-to-treat (mITT) cohort, 36-month clinical and angiographic follow-up was available in 134 and 117 cases, respectively. Effectiveness endpoint of complete aneurysm occlusion without clinically significant stenosis or retreatment was met in 71.8% (79/110, 95% CI 62.4% to 80.0%) of cases. Safety composite endpoint was 12.2% (22/180) over the 3-year period, with two major safety events (ipsilateral ischemic strokes) occurring between 12-36 months. Complete aneurysm occlusion was noted in 77.8% (91/117), and 99.1% (116/117) of the patients demonstrated adequate aneurysm occlusion (complete occlusion or neck residual). There were four cases (2.2%) of aneurysm rupture, all occurring within the first month of the index procedure. Target aneurysm retreatment rate was 2.8% (5/180). CONCLUSION The present findings support the long-term safety and effectiveness of the Surpass Streamline flow diverter device. TRIAL REGISTRATION NCT01716117.
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Affiliation(s)
- Ricardo A Hanel
- Lyerly Neurosurgery, Baptist Neurological Institute, Jacksonville, Florida, USA
| | - Gustavo M Cortez
- Lyerly Neurosurgery, Baptist Neurological Institute, Jacksonville, Florida, USA
| | - Alexander L Coon
- Carondelet Neurological Institute, Carondelet Saint Joseph's Hospital, Tucson, Arizona, USA
| | - Peter Kan
- Department of Neurosurgery, The University of Texas Medical Branch at Galveston School of Medicine, Galveston, Texas, USA
| | - Philipp Taussky
- Department of Neurosurgery, University of Utah Medical Center, Salt Lake City, Utah, USA
| | - Ajay K Wakhloo
- Neurointerventional Radiology, Lahey Clinic Medical Center, Burlington, Massachusetts, USA
| | - Babu G Welch
- Neurosurgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Aclan Dogan
- Interventional Neuroradiology, Oregon Health & Science University, Portland, Oregon, USA
| | - Mark Bain
- Neurosurgery, Cleveland Clinic, Cleveland, Ohio, USA
| | - Joost De Vries
- Neurosurgery, Radboud University Nijmegen, Nijmegen, Gelderland, The Netherlands
| | - Koji Ebersole
- Neurosurgery, Radiology, University of Kansas Medical Center Department of Neurosurgery, Kansas City, Kansas, USA
| | - Philip M Meyers
- Radiology and Neurological Surgery, Columbia University, New York, New York, USA
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Zhang J, Ryu JY, Tirado SR, Dickinson LD, Abosch A, Aziz-Sultan MA, Boulos AS, Barrow DL, Batjer HH, Binyamin TR, Blackburn SL, Chang EF, Chen PR, Colby GP, Cosgrove GR, David CA, Day AL, Folkerth RD, Frerichs KU, Howard BM, Jahromi BR, Niemela M, Ojemann SG, Patel NJ, Richardson RM, Shi X, Valle-Giler EP, Wang AC, Welch BG, Williams Z, Zusman EE, Weiss ST, Du R. A Transcriptomic Comparative Study of Cranial Vasculature. Transl Stroke Res 2023:10.1007/s12975-023-01186-w. [PMID: 37612482 DOI: 10.1007/s12975-023-01186-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 07/06/2023] [Accepted: 08/07/2023] [Indexed: 08/25/2023]
Abstract
In genetic studies of cerebrovascular diseases, the optimal vessels to use as controls remain unclear. Our goal is to compare the transcriptomic profiles among 3 different types of control vessels: superficial temporal artery (STA), middle cerebral arteries (MCA), and arteries from the circle of Willis obtained from autopsies (AU). We examined the transcriptomic profiles of STA, MCA, and AU using RNAseq. We also investigated the effects of using these control groups on the results of the comparisons between aneurysms and the control arteries. Our study showed that when comparing pathological cerebral arteries to control groups, all control groups presented similar responses in the activation of immunological processes, the regulation of intracellular signaling pathways, and extracellular matrix productions, despite their intrinsic biological differences. When compared to STA, AU exhibited upregulation of stress and apoptosis genes, whereas MCA showed upregulation of genes associated with tRNA/rRNA processing. Moreover, our results suggest that the matched case-control study design, which involves control STA samples collected from the same subjects of matched aneurysm samples in our study, can improve the identification of non-inherited disease-associated genes. Given the challenges associated with obtaining fresh intracranial arteries from healthy individuals, our study suggests that using MCA, AU, or paired STA samples as controls are feasible strategies for future large-scale studies investigating cerebral vasculopathies. However, the intrinsic differences of each type of control should be taken into consideration when interpreting the results. With the limitations of each control type, it may be most optimal to use multiple tissues as controls.
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Affiliation(s)
- Jianing Zhang
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Jee-Yeon Ryu
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Selena-Rae Tirado
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | | | - Aviva Abosch
- Department of Neurosurgery, University of Nebraska Medical Center, Omaha, NE, USA
| | - M Ali Aziz-Sultan
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Alan S Boulos
- Department of Neurosurgery, Albany Medical Center, Albany, NY, USA
| | - Daniel L Barrow
- Department of Neurosurgery, Emory University, Atlanta, GA, USA
| | - H Hunt Batjer
- Department of Neurosurgery, University of Texas Southwestern, Dallas, TX, USA
| | | | - Spiros L Blackburn
- Department of Neurosurgery, University of Texas Health Science Center, Houston, TX, USA
| | - Edward F Chang
- Department of Neurosurgery, University of California San Francisco, San Francisco, CA, USA
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
| | - P Roc Chen
- Department of Neurosurgery, University of Texas Health Science Center, Houston, TX, USA
| | - Geoffrey P Colby
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
| | - G Rees Cosgrove
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Carlos A David
- Department of Neurosurgery, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Arthur L Day
- Department of Neurosurgery, University of Texas Health Science Center, Houston, TX, USA
| | - Rebecca D Folkerth
- Department of Forensic Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Kai U Frerichs
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Brian M Howard
- Department of Neurosurgery, Emory University, Atlanta, GA, USA
| | - Behnam R Jahromi
- Department of Neurosurgery, Helsinki University and Helsinki University Hospital, Helsinki, Finland
| | - Mika Niemela
- Department of Neurosurgery, Helsinki University and Helsinki University Hospital, Helsinki, Finland
| | - Steven G Ojemann
- Department of Neurosurgery, University of Colorado, Denver, CO, USA
| | - Nirav J Patel
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - R Mark Richardson
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| | - Xiangen Shi
- Department of Neurosurgery, Affiliated Fuxing Hospital, Capital Medical University, Beijing, China
| | | | - Anthony C Wang
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
| | - Babu G Welch
- Department of Neurosurgery, University of Texas Southwestern, Dallas, TX, USA
| | - Ziv Williams
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| | | | - Scott T Weiss
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rose Du
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
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Hoh BL, Ko NU, Amin-Hanjani S, Chou SHY, Cruz-Flores S, Dangayach NS, Derdeyn CP, Du R, Hänggi D, Hetts SW, Ifejika NL, Johnson R, Keigher KM, Leslie-Mazwi TM, Lucke-Wold B, Rabinstein AA, Robicsek SA, Stapleton CJ, Suarez JI, Tjoumakaris SI, Welch BG. 2023 Guideline for the Management of Patients With Aneurysmal Subarachnoid Hemorrhage: A Guideline From the American Heart Association/American Stroke Association. Stroke 2023; 54:e314-e370. [PMID: 37212182 DOI: 10.1161/str.0000000000000436] [Citation(s) in RCA: 65] [Impact Index Per Article: 65.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
AIM The "2023 Guideline for the Management of Patients With Aneurysmal Subarachnoid Hemorrhage" replaces the 2012 "Guidelines for the Management of Aneurysmal Subarachnoid Hemorrhage." The 2023 guideline is intended to provide patient-centric recommendations for clinicians to prevent, diagnose, and manage patients with aneurysmal subarachnoid hemorrhage. METHODS A comprehensive search for literature published since the 2012 guideline, derived from research principally involving human subjects, published in English, and indexed in MEDLINE, PubMed, Cochrane Library, and other selected databases relevant to this guideline, was conducted between March 2022 and June 2022. In addition, the guideline writing group reviewed documents on related subject matter previously published by the American Heart Association. Newer studies published between July 2022 and November 2022 that affected recommendation content, Class of Recommendation, or Level of Evidence were included if appropriate. Structure: Aneurysmal subarachnoid hemorrhage is a significant global public health threat and a severely morbid and often deadly condition. The 2023 aneurysmal subarachnoid hemorrhage guideline provides recommendations based on current evidence for the treatment of these patients. The recommendations present an evidence-based approach to preventing, diagnosing, and managing patients with aneurysmal subarachnoid hemorrhage, with the intent to improve quality of care and align with patients' and their families' and caregivers' interests. Many recommendations from the previous aneurysmal subarachnoid hemorrhage guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.
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Hou X, Guo P, Wang P, Liu P, Lin DDM, Fan H, Li Y, Wei Z, Lin Z, Jiang D, Jin J, Kelly C, Pillai JJ, Huang J, Pinho MC, Thomas BP, Welch BG, Park DC, Patel VM, Hillis AE, Lu H. Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI. NPJ Digit Med 2023; 6:116. [PMID: 37344684 PMCID: PMC10284915 DOI: 10.1038/s41746-023-00859-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 06/09/2023] [Indexed: 06/23/2023] Open
Abstract
Cerebrovascular disease is a leading cause of death globally. Prevention and early intervention are known to be the most effective forms of its management. Non-invasive imaging methods hold great promises for early stratification, but at present lack the sensitivity for personalized prognosis. Resting-state functional magnetic resonance imaging (rs-fMRI), a powerful tool previously used for mapping neural activity, is available in most hospitals. Here we show that rs-fMRI can be used to map cerebral hemodynamic function and delineate impairment. By exploiting time variations in breathing pattern during rs-fMRI, deep learning enables reproducible mapping of cerebrovascular reactivity (CVR) and bolus arrival time (BAT) of the human brain using resting-state CO2 fluctuations as a natural "contrast media". The deep-learning network is trained with CVR and BAT maps obtained with a reference method of CO2-inhalation MRI, which includes data from young and older healthy subjects and patients with Moyamoya disease and brain tumors. We demonstrate the performance of deep-learning cerebrovascular mapping in the detection of vascular abnormalities, evaluation of revascularization effects, and vascular alterations in normal aging. In addition, cerebrovascular maps obtained with the proposed method exhibit excellent reproducibility in both healthy volunteers and stroke patients. Deep-learning resting-state vascular imaging has the potential to become a useful tool in clinical cerebrovascular imaging.
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Affiliation(s)
- Xirui Hou
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Pengfei Guo
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Puyang Wang
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Peiying Liu
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Doris D M Lin
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hongli Fan
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yang Li
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Zhiliang Wei
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Zixuan Lin
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dengrong Jiang
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jin Jin
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Catherine Kelly
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jay J Pillai
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Judy Huang
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marco C Pinho
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Binu P Thomas
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Babu G Welch
- Department of Neurologic Surgery, UT Southwestern Medical Center, Dallas, TX, USA
- Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Denise C Park
- Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Vishal M Patel
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Argye E Hillis
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hanzhang Lu
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
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Manchi MR, Venkatachalam AM, Atem FD, Stone S, Mathews AA, Abraham AM, Chavez AA, Welch BG, Ifejika NL. Effect of inpatient rehabilitation facility care on ninety day modified Rankin score in ischemic stroke patients. J Stroke Cerebrovasc Dis 2023; 32:107109. [PMID: 37031503 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 03/25/2023] [Accepted: 03/28/2023] [Indexed: 04/11/2023] Open
Abstract
OBJECTIVE To determine Inpatient Rehabilitation Facility (IRF) treatment effect on modified Rankin Scale (mRS) scores at 90 days in acute ischemic stroke (AIS) patients. MATERIALS AND METHODS This prospective cross-sectional study included 738 AIS patients admitted 1/1/2018-12/31/2020 to a Comprehensive Stroke Center with a Stroke Rehabilitation program. We compared outcomes for patients who went directly home versus went to IRF at hospital discharge: (1) acute care length of stay (LOS), (2) National Institutes of Health Stroke Scale (NIHSS) score, (3) mRS score at hospital discharge and 90 days, (4) the proportion of mRS scores ≤ 2 from hospital discharge to 90 days. RESULTS Among 738 patients, 499 went home, and 239 went to IRF. IRF patients were more likely to have increased acute LOS (10.7 vs 3.9 days; t-test, P<0.0001), increased mean NIHSS score (7.8 vs 4.8; t-test, P<0.0001) and higher median mRS score (3 vs 1, t-test, P<0.0001) compared to patients who went home. At 90 days, ischemic stroke patients who received IRF care were more likely to progress to a mRS ≤ 2 (18.7% increase) compared to patients discharged home from acute care (16.3% decrease). Home patients experienced a one-point decrease in mRS at 90 days compared to those who received IRF treatment (median mRS of 3 vs. 2, t-test, P<0.05). CONCLUSIONS In ischemic stroke patients, IRF treatment increased the likelihood of achieving mRS ≤ 2 at 90 days indicating the ability to live independently, and decreased the likelihood of mRS decrease, compared with patients discharged directly home after acute stroke care.
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Affiliation(s)
- Maunica R Manchi
- Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Stop 9055, Dallas, TX 75390, United States
| | | | - Folefac D Atem
- University of Texas Health Science Center at Houston School of Public Health, Dallas, TX, United States
| | - Suzanne Stone
- University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Amy A Mathews
- Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Stop 9055, Dallas, TX 75390, United States
| | - Annie M Abraham
- Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Stop 9055, Dallas, TX 75390, United States
| | - Audrie A Chavez
- Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Stop 9055, Dallas, TX 75390, United States
| | - Babu G Welch
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Nneka L Ifejika
- Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Stop 9055, Dallas, TX 75390, United States; Department of Neurology, University of Texas Southwestern Medical Center, DALLAS, TX, United States.
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Baker CM, Hunsaker JC, Folzenlogen ZA, Pride GL, Case DE, Welch BG, White JA, Roark CD, White AC, Seinfeld J, Muse J, Grandhi R, Taussky P. Technical Nuances and Outcomes of Telescoping Pipeline Flow Diverters: A Multicenter Study. Oper Neurosurg (Hagerstown) 2023; 24:e255-e263. [PMID: 36719956 DOI: 10.1227/ons.0000000000000552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 09/22/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND "Telescoping" multiple overlapping Pipeline Embolization Devices (PEDs; Medtronic) has increased their utility by allowing for more impermeable coverage and providing the ability to off-set landing zone sites and extend treatment constructs. OBJECTIVE To consider the technical nuances and challenges of telescoping PEDs for the treatment of intracranial aneurysms. METHODS Databases from 3 U.S. academic neurovascular centers were retrospectively queried to identify patients with intracranial aneurysms treated with multiple PED constructs. Data on patient and aneurysm characteristics, as well as outcomes including Raymond-Roy occlusion classification, modified Rankin Scale score, and complications, were gathered. RESULTS Forty-six patients had 48 intracranial aneurysms treated, including 16 (33%) in whom placement of telescoping PEDs was planned. Fourteen (30%) patients presented with a ruptured aneurysm. Twenty-one aneurysms (44%) were treated with proximal extension, 13 (27%) with distal extension, and 14 (29%) with PED placement inside one another. Thirty (70%) patients had complete aneurysm occlusion at follow-up. Two (4%) patients had to be retreated. Three patients with unruptured and 1 with ruptured aneurysm had a permanent intraprocedural complication. We present descriptive cases illustrating PEDs that were placed inside one another, proximally, distally, and to improve wall apposition because of vessel tortuosity. CONCLUSION Our data indicate a higher than expected complication rate that is likely because of the technical complexity of these cases. The case illustrations presented demonstrate the indications and challenging aspects of telescoping PEDs.
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Affiliation(s)
- Cordell M Baker
- Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah, USA
| | | | - Zach A Folzenlogen
- Department of Neurosurgery, University of Colorado, Boulder, Colorado, USA
| | - Glenn L Pride
- Department of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - David E Case
- Department of Neurosurgery, University of Colorado, Boulder, Colorado, USA
| | - Babu G Welch
- Department of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jonathan A White
- Department of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | - Andrew C White
- Department of Neurosurgery, University of Colorado, Boulder, Colorado, USA.,Department of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Joshua Seinfeld
- Department of Neurosurgery, University of Colorado, Boulder, Colorado, USA
| | - John Muse
- Department of Neurosurgery, University of Vermont, Burlington, Vermont, USA
| | - Ramesh Grandhi
- Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah, USA
| | - Philipp Taussky
- Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah, USA
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Wang RL, Gingrich KJ, Vance A, Johnson MD, Welch BG, McDonagh DL. The effects of aneurysmal subarachnoid hemorrhage on cerebral vessel diameter and flow velocity. J Stroke Cerebrovasc Dis 2023; 32:107056. [PMID: 36933521 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 02/05/2023] [Accepted: 02/07/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND Transcranial Doppler flow velocity is used to monitor for cerebral vasospasm following aneurysmal subarachnoid hemorrhage. Generally, blood flow velocities appear inversely related to the square of vessel diameter representing local fluid dynamics. However, studies of flow velocity-diameter relationships are few, and may identify vessels for which diameter changes are better correlated with Doppler velocity. We therefore studied a large retrospective cohort with concurrent transcranial Doppler velocities and angiographic vessel diameters. METHODS This is a single-site, retrospective, cohort study of adult patients with aneurysmal subarachnoid hemorrhage, approved by the UT Southwestern Medical Center Institutional Review Board. Study inclusion required transcranial Doppler measurements within </= 24 hours of vessel imaging. Vessels assessed were: bilateral anterior, middle, posterior cerebral arteries; internal carotid siphons; vertebral arteries; and basilar artery. Flow velocity-diameter relationships were constructed and fitted with a simple inverse power function. A greater influence of local fluid dynamics is suggested as power factors approach two. RESULTS 98 patients were included. Velocity-diameter relationships are curvilinear, and well fit by a simple inverse power function. Middle cerebral arteries showed the highest power factors (>1.1, R2>0.9). Furthermore, velocity and diameter changed (P<0.033) consistent with the signature time course of cerebral vasospasm. CONCLUSIONS These results suggest that middle cerebral artery velocity-diameter relationships are most influenced by local fluid dynamics, which supports these vessels as preferred endpoints in Doppler detection of cerebral vasospasm. Other vessels showed less influence of local fluid dynamics, pointing to greater role of factors outside the local vessel segment in determining flow velocity.
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Affiliation(s)
- Richard L Wang
- Department of Anesthesiology and Pain Management; The University of Texas Southwestern, Dallas, Texas, USA; Department of Radiology, University of Miami Miller School of Medicine.
| | - Kevin J Gingrich
- Department of Anesthesiology and Pain Management; The University of Texas Southwestern, Dallas, Texas, USA; Department of Anesthesiology and Pain Management, Univ. of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, Texas 75390 USA.
| | - Awais Vance
- Department of Neurological Surgery; The University of Texas Southwestern, Dallas, Texas, USA; Departments of Radiology; The University of Texas Southwestern, Dallas, Texas, USA; Department of Neurosurgery, Baylor Scott & White Medical Center.
| | - Mark D Johnson
- Department of Neurology; The University of Texas Southwestern, Dallas, Texas, USA; Department of Neurology, Univ. of Texas Southwestern Medical Center.
| | - Babu G Welch
- Department of Neurological Surgery; The University of Texas Southwestern, Dallas, Texas, USA; Departments of Radiology; The University of Texas Southwestern, Dallas, Texas, USA; Departments of Neurological Surgery & Radiology, Univ. of Texas Southwestern Medical Center.
| | - David L McDonagh
- Department of Anesthesiology and Pain Management; The University of Texas Southwestern, Dallas, Texas, USA; Department of Neurological Surgery; The University of Texas Southwestern, Dallas, Texas, USA; Department of Neurology; The University of Texas Southwestern, Dallas, Texas, USA; Departments of Anesthesiology and Pain Management, Neurology, and Neurological Surgery; Univ. of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, Texas 75390 USA.
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Simmonds KP, Atem F, Welch BG, Ifejika NL. Abstract 146: Racial Disparities In The Treatment Of Post-stroke Complications Among Acute Stroke Patients. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Introduction:
Racial differences in the treatment of post-stroke sequelae may contribute to known disparities in post-stroke function. Our objective was to quantify the magnitude and timing of racial differences in the treatment of common stroke post-complications to better inform and modify clinical practice.
Methods:
Electronic medical record data from 65 large health care organizations (August 2002-July 2022) were used to identify a cohort of non-Hispanic White (NHW), Black and Hispanic hospitalized acute stroke patients. Baseline differences between populations were adjusted for using a matched propensity score which accounted for 41 demographic and clinical factors. Outcomes included the use of medication(s) for treatment of arousal, spasticity, mood, sleep, bladder incontinence and seizure. Differences were measured at 14-, 90-, and 365-days.
Results:
Prior to matching, the final cohort consisted of 428,155 patients of which n= 309,029 were NHW, n= 82,564 were black, and 28,375 were Hispanic. For the NHW-Black comparison 80,564 pairs were matched, whereas 28,375 pairs were matched for the NHW-Hispanic comparison. All baseline covariates were balanced after matching. Compared to NHW, black patients were significantly less likely to receive treatment for every condition at nearly every timepoint. The largest differences were present for the treatment of arousal (RR: 0.70, 95% CI: 0.66- 0.74), spasticity (RR: 0.73, 95% CI: 0.71-0.76), and mood (RR: 0.83 (0.82, 0.85) at 14-days. Differences for the NHW-Hispanic comparison were similar but with slightly smaller magnitudes.
Conclusions:
There are significant racial disparities in the treatment of common post-stroke sequelae. Differences were greatest at 14-days indicating the acute hospitalization and rehabilitation are crucial to identify and treat complications to reduce disparities in post-stroke function.
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Affiliation(s)
- Kent P Simmonds
- Physical Medicine and Rehabilitation, Univ of Texas Southwestern Med Cntr, Dallas, TX
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Simmonds KP, Atem F, Welch BG, Ifejika NL. Abstract WMP64: Increased Risk Of Adverse Outcomes With Methocarbamol Versus Cyclobenzaprine Use In Medication Naïve Acute Stroke Patients. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.wmp64] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Introduction:
Methocarbamol and Cyclobenzaprine are often used interchangeably as muscle relaxants for acute stroke patients. There is limited data comparing medication side effect profiles within this hemodynamically vulnerable population.
Methods:
Electronic medical records from 65 health care organizations (Aug 2002-Jul 2022) were used to identify a cohort of medication naïve acute stroke patients (ICD-10 codes I61-I63) who received Methocarbamol or Cyclobenzaprine. A 1:1 matched propensity score was used to adjust for baseline demographic and comorbidity differences. Outcomes included the 30-day relative risk (RR) and risk difference (RD) for: falls, sedation/fatigue, bradycardia, hypotension, seizure, urinary retention, and death. Sensitivity analysis focused on 30-day risk among patients aged > 65 years.
Results:
Prior to matching, the final cohort consisted of 34,865 stroke patients who received Methocarbamol (n=20,150) or Cyclobenzaprine (n=14,715). A total of 13,667 pairs were matched, all baseline covariates were well balanced. In the adjusted analyses, Methocarbamol (vs. Cyclobenzaprine) use during the acute stroke period was associated with a 44% increased risk of fall (RR: 1.44; 95% CI: 1.31-1.50) sedation/fatigue (RR: 1.54 95% CI: 1.44-1.65), bradycardia (RR: 1.32; 95% CI: 1.19-1.44), hypotension (RR: 1.29 95% CI: 1.20-1.38), and seizure (RR: 1.32 95%CI: 1.24-1.40). Results were not affected by age as adverse event risks were similar among patients aged >65.
Conclusions:
Compared to Cyclobenzaprine, Methocarbamol use was associated with increased 30-day risk of a range of adverse outcomes across the age spectrum for acute stroke patients.
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Affiliation(s)
- Kent P Simmonds
- Physical Medicine and Rehabilitation, Univ of Texas Southwestern Med Cntr, Dallas, TX
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White A, Alabdulkareem M, Jouett N, Pride L, Barr JD, Welch BG, De Oliveira Sillero R, White JA, Brown H, Novakovic-White R. Abstract TP148: Anesthesia Protocol For Acute Ischemic Stroke Facilitates General Anesthesia In EVT And Optimizes Key Performance Measures. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.tp148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Background:
Currently, there is no consensus on the ideal anesthetic strategy for patients undergoing EVT for an LVO. Recently published clinical trials show no difference in mortality, recanalization, and functional outcome related to anesthetic technique, while ongoing trials look at treatment benefits in patients randomized to general anesthesia (GA) compared to conscious sedation during EVT. Utilizing a well-outlined standardized anesthesia protocol for GA in patients undergoing EVT can optimize key performance measures for EVT without adding unnecessary delays.
Methods:
This is a retrospective review of a prospectively collected database of patients who underwent EVT for LVO at a single academic CSC between January 2021 and August 2022. A multispecialty work group convened to outline best practices in the angio suite. All procedures were performed under GA while adhering to the “EVT Anesthesia Workflow.” The endorsed workflow outlined the protocol for notification of anesthesia and the angio team; the responsibility for order placements, request for bed, and procedural consent; and the expectations for all teams members to have lead on prior to patient arrival to the angio suite with biplane placement so that groin access could be obtained concurrently with intubation, to perform all cases under GA if deemed appropriate by anesthesia (unless requested otherwise), and that arterial line monitoring should not delay the procedure start time. Furthermore, pre and intraprocedural blood pressure parameters and post-EVT blood pressure goals were outlined.
Results:
A total of 102 patients were reviewed, all underwent general anesthesia (5% were intubated before angio suite arrival; n=5). Mode of arrival included 47 interfacility transfers, 35 primary facility ED, and 20 inpatients. The overall median angio door-to-intubation time was 6 minutes, and angio door-to-puncture was 10 minutes. The median puncture-to-device time was 24 minutes.
Conclusion:
A multispecialty collaboration to define agreed-upon workflows that outline responsibilities, expectations and goals can facilitate rapid treatments in an emergent setting. An EVT Anesthesia Workflow facilitated the use of GA in EVT without adding delays to key EVT performance measures.
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Lai PMR, Ryu JY, Park SC, Gross BA, Dickinson LD, Dagen S, Aziz-Sultan MA, Boulos AS, Barrow DL, Batjer HH, Blackburn S, Chang EF, Chen PR, Colby GP, Cosgrove GR, David CA, Day AL, Frerichs KU, Niemela M, Ojemann SG, Patel NJ, Shi X, Valle-Giler EP, Wang AC, Welch BG, Zusman EE, Weiss ST, Du R. Somatic Variants in SVIL in Cerebral Aneurysms. Neurol Genet 2022; 8:e200040. [PMID: 36475054 PMCID: PMC9720733 DOI: 10.1212/nxg.0000000000200040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 09/12/2022] [Indexed: 11/30/2022]
Abstract
Background and ObjectivesWhile somatic mutations have been well-studied in cancer, their roles in other complex traits are much less understood. Our goal is to identify somatic variants that may contribute to the formation of saccular cerebral aneurysms.MethodsWe performed whole-exome sequencing on aneurysm tissues and paired peripheral blood. RNA sequencing and the CRISPR/Cas9 system were then used to perform functional validation of our results.ResultsSomatic variants involved in supervillin (SVIL) or its regulation were found in 17% of aneurysm tissues. In the presence of a mutation in theSVILgene, the expression level of SVIL was downregulated in the aneurysm tissue compared with normal control vessels. Downstream signaling pathways that were induced by knockdown ofSVILvia the CRISPR/Cas9 system in vascular smooth muscle cells (vSMCs) were determined by evaluating changes in gene expression and protein kinase phosphorylation. We found thatSVILregulated the phenotypic modulation of vSMCs to the synthetic phenotype via Krüppel-like factor 4 and platelet-derived growth factor and affected cell migration of vSMCs via the RhoA/ROCK pathway.DiscussionWe propose that somatic variants form a novel mechanism for the development of cerebral aneurysms. Specifically, somatic variants inSVILresult in the phenotypic modulation of vSMCs, which increases the susceptibility to aneurysm formation. This finding suggests a new avenue for the therapeutic intervention and prevention of cerebral aneurysms.
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Affiliation(s)
- Pui Man Rosalind Lai
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Jee-Yeon Ryu
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Sang-Cheol Park
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Bradley A Gross
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Lawrence D Dickinson
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Sarajune Dagen
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Mohammad Ali Aziz-Sultan
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Alan S Boulos
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Daniel L Barrow
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - H Hunt Batjer
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Spiros Blackburn
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Edward F Chang
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - P Roc Chen
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Geoffrey P Colby
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Garth Rees Cosgrove
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Carlos A David
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Arthur L Day
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Kai U Frerichs
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Mika Niemela
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Steven G Ojemann
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Nirav J Patel
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Xiangen Shi
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Edison P Valle-Giler
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Anthony C Wang
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Babu G Welch
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Edie E Zusman
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Scott T Weiss
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Rose Du
- Department of Neurosurgery (P.M.R.L., J.-Y.R., S.-C.P., S.D., M.A.A.-S., G.R.C., K.U.F., N.J.P., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Artificial Intelligence and Robotics Laboratory (S.-C.P.), Myongji Hospital, Goyang, Korea; Department of Neurosurgery (B.A.G.), University of Pittsburgh, PA; Department of Neurosurgery (L.D.D., E.E.Z.), Sutter Health, Danville, CA; Department of Neurosurgery (A.S.B.), Albany Medical Center, NY; Department of Neurosurgery (D.L.B.), Emory University, Atlanta, GA; Department of Neurosurgery (H.H.B., B.G.W.), University of Texas Southwestern, Dallas, TX; Department of Neurosurgery (S.B., P.R.C., A.L.D.), University of Texas Health Science Center, Houston; Department of Neurosurgery (E.F.C.), University of California San Francisco, CA; Department of Neurosurgery (G.P.C., A.C.W.), University of California Los Angeles; Department of Neurosurgery (C.A.D.), Lahey Hospital and Medical Center, Burlington, MA; Department of Neurosurgery (M.N.), Helsinki University and Helsinki University Hospital, Finland; Department of Neurosurgery (S.G.O.), University of Colorado, Denver; Department of Neurosurgery (X.S.), Affiliated Fuxing Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery (E.P.V.-G.), Ochsner Medical Center, New Orleans, LA; and Channing Division of Network Medicine (S.T.W., R.D.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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15
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Liu P, Baker Z, Li Y, Li Y, Xu J, Park DC, Welch BG, Pinho M, Pillai JJ, Hillis AE, Mori S, Lu H. CVR-MRICloud: An online processing tool for CO2-inhalation and resting-state cerebrovascular reactivity (CVR) MRI data. PLoS One 2022; 17:e0274220. [PMID: 36170233 PMCID: PMC9518872 DOI: 10.1371/journal.pone.0274220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 08/23/2022] [Indexed: 12/02/2022] Open
Abstract
Cerebrovascular Reactivity (CVR) provides an assessment of the brain’s vascular reserve and has been postulated to be a sensitive marker in cerebrovascular diseases. MRI-based CVR measurement typically employs alterations in arterial carbon dioxide (CO2) level while continuously acquiring Blood-Oxygenation-Level-Dependent (BOLD) images. CO2-inhalation and resting-state methods are two commonly used approaches for CVR MRI. However, processing of CVR MRI data often requires special expertise and may become an obstacle in broad utilization of this promising technique. The aim of this work was to develop CVR-MRICloud, a cloud-based CVR processing pipeline, to enable automated processing of CVR MRI data. The CVR-MRICloud consists of several major steps including extraction of end-tidal CO2 (EtCO2) curve from raw CO2 recording, alignment of EtCO2 curve with BOLD time course, computation of CVR value on a whole-brain, regional, and voxel-wise basis. The pipeline also includes standard BOLD image processing steps such as motion correction, registration between functional and anatomic images, and transformation of the CVR images to canonical space. This paper describes these algorithms and demonstrates the performance of the CVR-MRICloud in lifespan healthy subjects and patients with clinical conditions such as stroke, brain tumor, and Moyamoya disease. CVR-MRICloud has potential to be used as a data processing tool for a variety of basic science and clinical applications.
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Affiliation(s)
- Peiying Liu
- Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- * E-mail:
| | - Zachary Baker
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Yue Li
- AnatomyWorks, LLC, Baltimore, Maryland, United States of America
| | - Yang Li
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Jiadi Xu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, United States of America
| | - Denise C. Park
- Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, Texas, United States of America
| | - Babu G. Welch
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
| | - Marco Pinho
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
| | - Jay J. Pillai
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Argye E. Hillis
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Susumu Mori
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, United States of America
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, United States of America
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16
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Spence CA, Eden SV, Pennicooke B, Adogwa O, Holly LT, Welch BG, Mbabuike N, Nduom E, Ashley WW. Mass shootings in the United States: an alarming trend of violence and public health threat. J Neurosurg 2022; 138:882-883. [PMID: 36087322 DOI: 10.3171/2022.8.jns221725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Caple A Spence
- 1Department of Neurological Surgery, Oklahoma Heart Hospital, Midwest City, Oklahoma
| | - Sonia V Eden
- 2Department of Neurosurgery, Semmes Murphey Clinic and University of Tennessee Health Sciences Center, Memphis, Tennessee
| | - Brenton Pennicooke
- 3Department of Neurosurgery, Washington University in St. Louis, Missouri
| | - Owoicho Adogwa
- 4Department of Neurosurgery, University of Cincinnati School of Medicine, Cincinnati, Ohio
| | - Langston T Holly
- 5Department of Neurosurgery, UCLA School of Medicine, Santa Monica, California
| | - Babu G Welch
- 6Department of Neurosurgery, Ascension Medical Group, Saginaw, Michigan
| | - Nnenna Mbabuike
- 7Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia
| | - Edjah Nduom
- 8Department of Neurosurgery, UT Southwestern School of Medicine, Dallas, Texas; and
| | - William W Ashley
- 9Department of Neurosurgery, Sinai Hospital and LifeBridge Health System, Baltimore, Maryland
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17
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Bird CE, Traylor JI, Johnson ZD, Kim J, Raisanen J, Welch BG, Abdullah KG. Surgical Management of a Massive Frontal Bone Hemangioma: Case Report. J Neurol Surg Rep 2022; 83:e72-e76. [PMID: 35832685 PMCID: PMC9272017 DOI: 10.1055/s-0042-1750366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 03/29/2022] [Indexed: 11/09/2022] Open
Abstract
Intraosseous hemangiomas are rare, benign tumors that can arise from the calvarium. These lesions often invade the outer table of the skull, but typically spare the inner table and intracranial structures. En bloc surgical resection is the standard treatment for intraosseous hemangiomas. However, a piecemeal resection may be required to safely remove the tumor in cases involving the inner table to protect the underlying brain parenchyma and vascular structures. Proper reconstruction is critical to optimize the cosmetic outcome, and a staged procedure allowing implantation of a custom-made implant can be considered for large lesions involving the forehead. We present a case of a patient with a large frontal intraosseous hemangioma with intradural involvement to highlight the surgical nuances of resection and review the existing literature regarding optimal management of these patients.
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Affiliation(s)
- Cylaina E Bird
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, United States
| | - Jeffrey I Traylor
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, United States
| | - Zachary D Johnson
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, United States
| | - Jun Kim
- Department of Neurosurgery, Westmead Hospital, Westmead, Sydney, Australia
| | - Jack Raisanen
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, United States
| | - Babu G Welch
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, United States
| | - Kalil G Abdullah
- Department of Neurosurgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
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18
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Holly LT, Ashley WW, Nduom EK, Pennicooke B, Spence CA, Welch BG. Letter to the Editor. Diversity-related studies in neurosurgery: concerns and suggestions. J Neurosurg Spine 2022; 37:1-2. [PMID: 35523248 DOI: 10.3171/2022.1.spine22102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
| | - William W Ashley
- Sinai Hospital of Baltimore and LifeBridge Health System, Baltimore, MD
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19
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Rigante L, van Lieshout JH, Vergouwen MDI, van Griensven CHS, Vart P, van der Loo L, de Vries J, Vinke RS, Etminan N, Aquarius R, Gruber A, Mocco J, Welch BG, Menovsky T, Klijn CJM, Bartels RHMA, Germans MR, Hänggi D, Boogaarts HD. Time trends in the risk of delayed cerebral ischemia after subarachnoid hemorrhage: a meta-analysis of randomized controlled trials. Neurosurg Focus 2022; 52:E2. [DOI: 10.3171/2021.12.focus21473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Accepted: 12/21/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE
Delayed cerebral ischemia (DCI) contributes to morbidity and mortality after aneurysmal subarachnoid hemorrhage (aSAH). Continuous improvement in the management of these patients, such as neurocritical care and aneurysm repair, may decrease the prevalence of DCI. In this study, the authors aimed to investigate potential time trends in the prevalence of DCI in clinical studies of DCI within the last 20 years.
METHODS
PubMed, Embase, and the Cochrane library were searched from 2000 to 2020. Randomized controlled trials that reported clinical (and radiological) DCI in patients with aSAH who were randomized to a control group receiving standard care were included. DCI prevalence was estimated by means of random-effects meta-analysis, and subgroup analyses were performed for the DCI sum score, Fisher grade, clinical grade on admission, and aneurysm treatment method. Time trends were evaluated by meta-regression.
RESULTS
The search strategy yielded 5931 records, of which 58 randomized controlled trials were included. A total of 4424 patients in the control arm were included. The overall prevalence of DCI was 0.29 (95% CI 0.26–0.32). The event rate for prevalence of DCI among the high-quality studies was 0.30 (95% CI 0.25–0.34) and did not decrease over time (0.25% decline per year; 95% CI −2.49% to 1.99%, p = 0.819). DCI prevalence was higher in studies that included only higher clinical or Fisher grades, and in studies that included only clipping as the treatment modality.
CONCLUSIONS
Overall DCI prevalence in patients with aSAH was 0.29 (95% CI 0.26–0.32) and did not decrease over time in the control groups of the included randomized controlled trials.
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Affiliation(s)
- Luigi Rigante
- Department of Neurosurgery, Radboud University Medical Centre, Nijmegen, The Netherlands
| | | | - Mervyn D. I. Vergouwen
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | | | - Priya Vart
- Department for Health Evidence, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Lars van der Loo
- Department of Neurosurgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Joost de Vries
- Department of Neurosurgery, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Ruben Saman Vinke
- Department of Neurosurgery, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Nima Etminan
- Department of Neurosurgery, Universitätsmedizin Mannheim, Germany
| | - Rene Aquarius
- Department of Neurosurgery, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Andreas Gruber
- Department of Neurosurgery, Kepler University Hospital, Linz, Austria
| | - J Mocco
- Department of Neurosurgery, Mount Sinai Health System, New York, New York
| | - Babu G. Welch
- Department of Neurosurgery, University of Texas Southwestern, Dallas, Texas
| | - Tomas Menovsky
- Department of Neurosurgery, Antwerp University Hospital, Edegem, Belgium
| | - Catharina J. M. Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands; and
| | | | - Menno R. Germans
- Department of Neurosurgery, University Hospital Zurich and Clinical Neuroscience Center, Zurich, Switzerland
| | - Daniel Hänggi
- Department of Neurosurgery, Henrich-Heine-University Düsseldorf, Germany
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20
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Venkatachalam AM, Manchi MR, Atem FD, Stone S, Abraham AM, Chavez AA, Welch BG, Ifejika NL. Abstract WP63: The Effect Of Inpatient Rehabilitation Facility Treatment On 90 Day Outcomes: A Shift Analysis Of Modified Rankin Scale Score In Ischemic Stroke Patients. Stroke 2022. [DOI: 10.1161/str.53.suppl_1.wp63] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Several AHA Guidelines recommend inpatient rehabilitation facility (IRF) care to enhance post-stroke recovery. We evaluated the IRF treatment effect on modified Rankin scale (mRS) score change at 90 days in ischemic stroke (IS) patients.
Methods:
Using prospectively collected data from Get With the Guidelines-Stroke, the Uniformed Data System for Medical Rehabilitation registry and the electronic medical record, we identified IS patients with discharge disposition of home or IRF between 1/1/2018-12/31/2020. Sociodemographics, clinical variables and IS treatment rates were summarized. IRF outcomes, including length of stay (LOS), improvement in mobility and self-care scores and discharge disposition were compared in thrombectomy vs no thrombectomy groups. mRS at IRF discharge was calculated with a Cronbach interrater score of 0.88; shift analyses of mRS at hospital discharge and 90 days were completed for IS patients in the Home and IRF care groups.
Results:
Among 738 patients, 499 went home, 239 went to IRF. IRF patients were more likely to have Medicare insurance (49.2 vs 28.9%), undergo thrombectomy (16.3 vs 4.6%) have increased LOS (12.7 vs 4.8 days) and stroke severity (mean NIHSS 7.8 vs 4.8; mean mRS 3.1 vs 1.7) compared to Home (Table 1). At IRF, 39 patients previously underwent thrombectomy, 200 did not. Both groups had a IRF LOS >14 days and considerable recovery in the self-care and mobility domains (Table 2). Shift analysis of mRS at hospital discharge compared to 90 days yielded significant improvements in mRS of 0-2 and lower mortality in the IRF group compared to home group (Figure).
Conclusion:
In ischemic stroke patients with higher disease severity, IRF treatment is a catalyst for improved functional recovery.
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Affiliation(s)
| | - Maunica R Manchi
- Physical Medicine and Rehabilitation, UT Southwestern Med Cntr, Dallas, TX
| | - Folefac D Atem
- UNIV OF TEXAS HEALTH SCIENCE CENTER AT HOUSTON SCHOOL OF PUBLIC HEALTH, Dallas, TX
| | | | - Annie M Abraham
- Physical Medicine and Rehabilitation, UT Southwestern Med Cntr, Dallas, TX
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21
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Su P, Liu P, Pinho MC, Thomas BP, Qiao Y, Huang J, Welch BG, Lu H. Non-contrast hemodynamic imaging of Moyamoya disease with MR fingerprinting ASL: A feasibility study. Magn Reson Imaging 2022; 88:116-122. [PMID: 35183659 PMCID: PMC8934382 DOI: 10.1016/j.mri.2022.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 02/14/2022] [Accepted: 02/15/2022] [Indexed: 10/19/2022]
Abstract
PURPOSE MR Fingerprinting (MRF) Arterial Spin Labeling (ASL) is a non-contrast technique to estimate multiple brain hemodynamic and structural parameters in a single scan. The purpose of this study is to examine the feasibility and initial utility of MRF-ASL in Moyamoya disease. METHODS MRF-ASL, conventional single-delay ASL, Time-of-flight (TOF) MR angiography, and contrast-based dynamic-susceptibility-contrast (DSC) MRI were prospectively collected from a group of Moyamoya patients in North America (N = 21, 4 men and 17 women). Sixteen healthy subjects (7 men and 9 women) also underwent an MRF-ASL scan. Cerebral blood flow (CBF), bolus arrival time (BAT), and tissue T1 were compared between Moyamoya patients and healthy controls. Perfusion parameters from MRF-ASL were compared to those from other MRI sequences. Multi-linear regression was used for comparisons of parameter values between Moyamoya and control groups. Linear mixed-effects models was used when comparing MRF-ASL to PCASL and DSC parameters. Spearman's Rank Correlation Coefficient was calculated when comparing MRF-ASL to and MRA grades. A P value of 0.05 or less was considered significant. RESULTS BAT in stenotic internal carotid artery (ICA) territories was prolonged (P < 0.001) in Moyamoya patients, when compared with healthy controls. CBF in stenotic ICA territories of Moyamoya patients was not different from CBF in healthy controls; but in the PCA territories, CBF in Moyamoya patients was higher (P < 0.01) than controls. Quantitative T1 values in the stenotic ICA territories was longer (P < 0.05) than that in controls. Hemodynamic parameters estimated from MRF-ASL were significantly correlated with single-delay ASL and DSC. Longer BAT was associated with more severe intracranial artery stenosis in ICA. CONCLUSIONS MRF-ASL is a promising technique to assess perfusion and structural abnormalities in Moyamoya patients.
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22
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Benesch C, Glance LG, Derdeyn CP, Fleisher LA, Holloway RG, Messé SR, Mijalski C, Nelson MT, Power M, Welch BG. Perioperative Neurological Evaluation and Management to Lower the Risk of Acute Stroke in Patients Undergoing Noncardiac, Nonneurological Surgery: A Scientific Statement From the American Heart Association/American Stroke Association. Circulation 2021; 143:e923-e946. [PMID: 33827230 DOI: 10.1161/cir.0000000000000968] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Perioperative stroke is a potentially devastating complication in patients undergoing noncardiac, nonneurological surgery. This scientific statement summarizes established risk factors for perioperative stroke, preoperative and intraoperative strategies to mitigate the risk of stroke, suggestions for postoperative assessments, and treatment approaches for minimizing permanent neurological dysfunction in patients who experience a perioperative stroke. The first section focuses on preoperative optimization, including the role of preoperative carotid revascularization in patients with high-grade carotid stenosis and delaying surgery in patients with recent strokes. The second section reviews intraoperative strategies to reduce the risk of stroke, focusing on blood pressure control, perioperative goal-directed therapy, blood transfusion, and anesthetic technique. Finally, this statement presents strategies for the evaluation and treatment of patients with suspected postoperative strokes and, in particular, highlights the value of rapid recognition of strokes and the early use of intravenous thrombolysis and mechanical embolectomy in appropriate patients.
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23
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Liu P, Liu G, Pinho MC, Lin Z, Thomas BP, Rundle M, Park DC, Huang J, Welch BG, Lu H. Cerebrovascular Reactivity Mapping Using Resting-State BOLD Functional MRI in Healthy Adults and Patients with Moyamoya Disease. Radiology 2021; 299:419-425. [PMID: 33687287 DOI: 10.1148/radiol.2021203568] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Cerebrovascular reserve, the potential capacity of brain tissue to receive more blood flow when needed, is a desirable marker in evaluating ischemic risk. However, current measurement methods require acetazolamide injection or hypercapnia challenge, prompting a clinical need for resting-state (RS) blood oxygen level-dependent (BOLD) functional MRI data to measure cerebrovascular reactivity (CVR). Purpose To optimize and evaluate an RS CVR MRI technique and demonstrate its relationship to neurosurgical treatment. Materials and Methods In this HIPAA-compliant study, RS BOLD functional MRI data collected in 170 healthy controls between December 2008 and September 2010 were retrospectively evaluated to identify the optimal frequency range of temporal filtering on the basis of spatial correlation with the reference standard CVR map obtained with CO2 inhalation. Next, the optimized RS method was applied in a new, prospective cohort of 50 participants with Moyamoya disease who underwent imaging between June 2014 and August 2019. Finally, CVR values were compared between brain hemispheres with and brain hemispheres without revascularization surgery by using Mann-Whitney U test. Results A total of 170 healthy controls (mean age ± standard deviation, 51 years ± 20; 105 women) and 100 brain hemispheres of 50 participants with Moyamoya disease (mean age, 41 years ± 12; 43 women) were evaluated. RS CVR maps based on a temporal filtering frequency of [0, 0.1164 Hz] yielded the highest spatial correlation (r = 0.74) with the CO2 inhalation CVR results. In patients with Moyamoya disease, 77 middle cerebral arteries (MCAs) had stenosis. RS CVR in the MCA territory was lower in the group that did not undergo surgery (n = 30) than in the group that underwent surgery (n = 47) (mean, 0.407 relative units [ru] ± 0.208 vs 0.532 ru ± 0.182, respectively; P = .006), which is corroborated with the CO2 inhalation CVR data (mean, 0.242 ru ± 0.273 vs 0.437 ru ± 0.200; P = .003). Conclusion Cerebrovascular reactivity mapping performed by using resting-state blood oxygen level-dependent functional MRI provided a task-free method to measure cerebrovascular reserve and depicted treatment effect of revascularization surgery in patients with Moyamoya disease comparable to that with the reference standard of CO2 inhalation MRI. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Wolf and Ware in this issue.
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Affiliation(s)
- Peiying Liu
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Gongkai Liu
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Marco C Pinho
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Zixuan Lin
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Binu P Thomas
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Melissa Rundle
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Denise C Park
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Judy Huang
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Babu G Welch
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Hanzhang Lu
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
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Amin-Hanjani S, Stapleton CJ, See AP, Bambakidis NC, Etminan N, Charbel FT, Kim LJ, Lanzino G, Nakaji P, Raabe A, Siddiqui AH, Woo HH, Welch BG, Zipfel GJ, Ghogawala Z. Wisdom of the Crowd? Results from the Retrospective Expert Panel Review of Unruptured Intracranial Aneurysms (REPaiR-UIA) Study. Neurosurgery 2020. [DOI: 10.1093/neuros/nyaa447_276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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25
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Ban VS, Pernik MN, Binyamin T, Corona JM, Kim YJ, de Oliveira Sillero R, Novakovic R, Pride GL, Barr JD, White JA, Batjer HH, Welch BG. Should Dual Antiplatelet Therapy for Flow Diversion be Reduced to Monotherapy After 3 Months? Neurosurgery 2020. [DOI: 10.1093/neuros/nyaa447_283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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26
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Fargen KM, Leslie-Mazwi TM, Klucznik RP, Wolfe SQ, Brown P, Ansari SA, Dabus G, Spiotta AM, Mokin M, Hassan AE, Liebeskind D, Welch BG, Siddiqui AH, Hirsch JA. The professional and personal impact of the coronavirus pandemic on US neurointerventional practices: a nationwide survey. J Neurointerv Surg 2020; 12:927-931. [PMID: 32788389 PMCID: PMC7421723 DOI: 10.1136/neurintsurg-2020-016513] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 07/28/2020] [Accepted: 07/29/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND Little is currently known about the effects of the coronavirus (COVID-19) pandemic on neurointerventional (NI) procedural volumes or its toll on physician wellness. METHODS A 37-question online survey was designed and distributed to physician members of three NI physician organizations. RESULTS A total of 151 individual survey responses were obtained. Reduced mechanical thrombectomy procedures compared with pre-pandemic were observed with 32% reporting a greater than 50% reduction in thrombectomy volumes. In concert with most (76%) reporting at least a 25% reduction in non-mechanical thrombectomy urgent NI procedures and a nearly unanimous (96%) cessation of non-urgent elective cases, 68% of physicians reported dramatic reductions (>50%) in overall NI procedural volume compared with pre-pandemic. Increased door-to-puncture times were reported by 79%. COVID-19-positive infections occurred in 1% of physician respondents: an additional 8% quarantined for suspected infection. Sixty-six percent of respondents reported increased career stress, 56% increased personal life/family stress, and 35% increased career burnout. Stress was significantly increased in physicians with COVID-positive family members (P<0.05). CONCLUSIONS This is the first study designed to understand the effects of the COVID-19 pandemic on NI physician practices, case volumes, compensation, personal/family stresses, and work-related burnout. Future studies examining these factors following the resumption of elective cases and relaxing of social distancing measures will be necessary to better understand these phenomena.
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Affiliation(s)
- Kyle M Fargen
- Neurological Surgery and Radiology, Wake Forest University, Winston-Salem, North Carolina, USA
| | | | | | - Stacey Q Wolfe
- Neurological Surgery and Radiology, Wake Forest University, Winston-Salem, North Carolina, USA
| | - Patrick Brown
- Neurological Surgery and Radiology, Wake Forest University, Winston-Salem, North Carolina, USA
| | - Sameer A Ansari
- Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Guilherme Dabus
- Interventional Neuroradiology and Neuroendovascular Surgery, Miami Neuroscience Institute and Miami Cardiac & Vascular Institute - Baptist Hospital, Miami, Florida, USA
| | - Alejandro M Spiotta
- Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Maxim Mokin
- Neurosurgery, University of South Florida, Tampa, Florida, USA
| | - Ameer E Hassan
- Department of Neurology, University of Texas Rio Grande Valley, Treasure Hills, Harlingen, Texas, USA
| | | | - Babu G Welch
- Neurosurgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | - Joshua A Hirsch
- NeuroEndovascular Program, Massachusetts General Hospital, Boston, Massachusetts, USA
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27
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Plitt AR, Patel AR, McDougall CM, Halderman AA, Barnett SL, Welch BG. Combined Microsurgical, Endovascular, and Endoscopic Approach to the Treatment of a Giant Vertebrobasilar Aneurysm. Oper Neurosurg (Hagerstown) 2020; 17:149-156. [PMID: 30476195 DOI: 10.1093/ons/opy341] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 10/01/2018] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Dolichoectasia is defined as elongation and dilatation of a blood vessel. In the intracranial circulation, the basilar artery is affected in 80% of cases. These are challenging lesions with an aggressive natural history, and treatment carries a relatively high rate of morbidity and mortality. We describe a case of multimodal treatment including endovascular, open microsurgical, and endoscopic endonasal approach (EEA) for management. OBJECTIVE To describe the technical nuance of the addition of the EEA for management of posterior circulation dolichoectasia. METHODS A 44-yr-old Hispanic woman with a 2-mo history of progressive headaches, gait disturbance, and lower cranial nerve dysfunction presented with acute neurologic decline. MRI demonstrated a dolichoectatic vertebrobasilar system with a giant 4.5-cm fusiform basilar aneurysm. RESULTS She underwent concomitant endovascular bilateral vertebral artery sacrifice with suction decompression and trapping by clip ligation distal to the lesion. Postoperatively, she developed symptomatic pontine compression. She was then taken for a transclival EEA for intra-aneurysmal thrombectomy. Thereafter, she made a significant functional recovery. CONCLUSION The addition of endoscopic reconstruction to the treatment of a dolichoectatic basilar aneurysm is an operative nuance that can be employed in treating these highly morbid lesions. This case describing a multimodal treatment paradigm including EEA reconstruction can serve as an example for the future of treatment select cases of dolichoectasia of the vertebrobasilar complex.
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Affiliation(s)
- Aaron R Plitt
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, Texas
| | - Ankur R Patel
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, Texas
| | - Cameron M McDougall
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, Texas
| | - Ashleigh A Halderman
- Department of Otolaryngology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, Texas
| | - Samuel L Barnett
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, Texas
| | - Babu G Welch
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, Texas
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28
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El Ahmadieh TY, Wu EM, Kafka B, Caruso JP, Neeley OJ, Plitt A, Aoun SG, Olson DM, Ruchinskas RA, Cullum CM, Barnett S, Welch BG, Batjer HH, White JA. Lumbar drain trial outcomes of normal pressure hydrocephalus: a single-center experience of 254 patients. J Neurosurg 2020; 132:306-312. [PMID: 30611143 DOI: 10.3171/2018.8.jns181059] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 08/03/2018] [Indexed: 11/06/2022]
Abstract
OBJECTIVE A short-term lumbar drain (LD) trial is commonly used to assess the response of normal pressure hydrocephalus (NPH) patients to CSF diversion. However, it remains unknown whether the predictors of passing an LD trial match the predictors of improvement after ventriculoperitoneal shunting. The aim of this study was to examine outcomes, complication rates, and associations between predictors and outcomes after an LD trial in patients with NPH. METHODS The authors retrospectively reviewed the records of 254 patients with probable NPH who underwent an LD trial between March 2008 and September 2017. Multivariate regression models were constructed to examine predictors of passing the LD trial. Complications associated with the LD trial procedure were recorded. RESULTS The mean patient age was 77 years and 56.7% were male. The mean durations of gait disturbance, cognitive decline, and urinary incontinence were 29 months, 32 months, and 28 months, respectively. Of the 254 patients, 30% and 16% reported objective and subjective improvement after the LD trial, respectively. Complications included a sheared LD catheter, meningitis, lumbar epidural abscess, CSF leak at insertion site, transient lower extremity numbness, slurred speech, refractory headaches, and hyponatremia. Multivariate analyses using MAX-R revealed that a prior history of stroke predicted worse outcomes, while disproportionate subarachnoid spaces (uneven enlargement of supratentorial spaces) predicted better outcomes after the LD trial (r2 = 0.12, p < 0.05). CONCLUSIONS The LD trial is generally safe and well tolerated. The best predictors of passing the LD trial include a negative history of stroke and having disproportionate subarachnoid spaces.
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Affiliation(s)
| | | | | | | | | | | | | | - Daiwai M Olson
- 1Department of Neurological Surgery.,3Department of Neurology & Neurotherapeutics, Zale Lipshy Hospital; and
| | - Robert A Ruchinskas
- 3Department of Neurology & Neurotherapeutics, Zale Lipshy Hospital; and.,4Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, Texas
| | - C Munro Cullum
- 1Department of Neurological Surgery.,3Department of Neurology & Neurotherapeutics, Zale Lipshy Hospital; and.,4Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, Texas
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29
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Wu EM, El Ahmadieh TY, McDougall CM, Aoun SG, Mehta N, Neeley OJ, Plitt A, Shen Ban V, Sillero R, White JA, Batjer HH, Welch BG. Embolization of brain arteriovenous malformations with intent to cure: a systematic review. J Neurosurg 2020; 132:388-399. [DOI: 10.3171/2018.10.jns181791] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 10/01/2018] [Indexed: 11/06/2022]
Abstract
OBJECTIVEEndovascular embolization has been established as an adjuvant treatment strategy for brain arteriovenous malformations (AVMs). A growing body of literature has discussed curative embolization for select lesions. The transition of endovascular embolization from an adjunctive to a definitive treatment modality remains controversial. Here, the authors reviewed the literature to assess the lesional characteristics, technical factors, and angiographic and clinical outcomes of endovascular embolization of AVMs with intent to cure.METHODSElectronic databases—Ovid MEDLINE, Ovid Embase, and PubMed—were searched for studies in which there was evidence of AVMs treated using endovascular embolization with intent to cure. The primary outcomes of interest were angiographic obliteration immediately postembolization and at follow-up. The secondary outcomes of interest were complication rates. Descriptive statistics were used to calculate rates and means.RESULTSFifteen studies with 597 patients and 598 AVMs treated with intent-to-cure embolization were included in this analysis. Thirty-four percent of AVMs were Spetzler-Martin grade III. Complete obliteration immediately postembolization was reported in 58.3% of AVMs that had complete treatment and in 45.8% of AVMs in the entire patient cohort. The overall clinical complication rate was 24.1%. The most common complication was hemorrhage, occurring in 9.7% of patients. Procedure-related mortality was 1.5%.CONCLUSIONSWhile endovascular embolization with intent to cure can be an option for select AVMs, the reported complication rates appear to be increased compared with those in studies in which adjunctive embolization was the goal. Given the high complication rate related to a primary embolization approach, the risks and benefits of such a treatment strategy should be discussed among a multidisciplinary team. Curative embolization of AVMs should be considered an unanticipated benefit of such therapy rather than a goal.
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Affiliation(s)
- Eva M. Wu
- 1Department of Neurological Surgery, University of Texas Southwestern, School of Medicine; and
| | | | | | | | - Nikhil Mehta
- 3Neurointerventional Radiology, University of Texas Southwestern, Zale Lipshy Hospital, Dallas, Texas
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30
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Aoun SG, Stutzman SE, Vo PUN, El Ahmadieh TY, Osman M, Neeley O, Plitt A, Caruso JP, Aiyagari V, Atem F, Welch BG, White JA, Batjer HH, Olson DM. Detection of delayed cerebral ischemia using objective pupillometry in patients with aneurysmal subarachnoid hemorrhage. J Neurosurg 2020; 132:27-32. [DOI: 10.3171/2018.9.jns181928] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Accepted: 09/20/2018] [Indexed: 11/06/2022]
Abstract
OBJECTIVECerebral vasospasm causing delayed cerebral ischemia (DCI) is a source of significant morbidity after subarachnoid hemorrhage (SAH). Transcranial Doppler is used at most institutions to detect sonographic vasospasm but has poor positive predictive value for DCI. Automated assessment of the pupillary light reflex has been increasingly used as a reliable way of assessing pupillary reactivity, and the Neurological Pupil Index (NPi) has been shown to decrease hours prior to the clinical manifestation of ischemic injury or herniation syndromes. The aim of this study was to investigate the role of automated pupillometry in the setting of SAH, as a potential adjunct to TCD.METHODSOur analysis included patients that had been diagnosed with aneurysmal SAH and admitted to the neuro–intensive care unit of the University of Texas Southwestern Medical Center between November 2015 and June 2017. A dynamic infrared pupillometer was used for all pupillary measurements. An NPi value ranging from 3 to 5 was considered normal, and from 0 to 2.9 abnormal. Sonographic vasospasm was defined as middle cerebral artery velocities greater than 100 cm/sec with a Lindegaard ratio greater than 3 on either side on transcranial Doppler. Most patients had multiple NPi readings daily and we retained the lowest value for our analysis. We aimed to study the association between DCI and sonographic vasospasm, and DCI and NPi readings.RESULTSA total of 56 patients were included in the final analysis with 635 paired observations of daily TCD and NPi data. There was no statistically significant association between the NPi value and the presence of sonographic vasospasm. There was a significant association between DCI and sonographic vasospasm, χ2(1) = 6.4112, p = 0.0113, OR 1.6419 (95% CI 1.1163–2.4150), and between DCI and an abnormal decrease in NPi, χ2(1) = 38.4456, p < 0.001, OR 3.3930 (95% CI 2.2789–5.0517). Twelve patients experienced DCI, with 7 showing a decrease of their NPi to an abnormal range. This change occurred > 8 hours prior to the clinical decline 71.4% of the time. The NPi normalized in all patients after treatment of their vasospasm.CONCLUSIONSIsolated sonographic vasospasm does not seem to correlate with NPi changes, as the latter likely reflects an ischemic neurological injury. NPi changes are strongly associated with the advent of DCI and could be an early herald of clinical deterioration.
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Affiliation(s)
| | - Sonja E. Stutzman
- Departments of 1Neurological Surgery,
- 2Neurology and Neurotherapeutics, and
- 3Division of Neurocritical Care, University of Texas Southwestern Medical Center, Dallas, Texas
| | | | | | - Mohamed Osman
- 3Division of Neurocritical Care, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Om Neeley
- Departments of 1Neurological Surgery,
| | | | | | - Venkatesh Aiyagari
- Departments of 1Neurological Surgery,
- 3Division of Neurocritical Care, University of Texas Southwestern Medical Center, Dallas, Texas
| | | | - Babu G. Welch
- Departments of 1Neurological Surgery,
- 3Division of Neurocritical Care, University of Texas Southwestern Medical Center, Dallas, Texas
| | | | | | - Daiwai M. Olson
- Departments of 1Neurological Surgery,
- 2Neurology and Neurotherapeutics, and
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31
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Khan NI, Saherwala AA, Chen M, Salehian S, Salahuddin H, Welch BG, Pinho MC, Shang T. Prevalence of and Risk Factors for Cerebral Microbleeds in Moyamoya Disease and Syndrome in the American Population. Cerebrovasc Dis Extra 2019; 9:139-147. [PMID: 31830749 DOI: 10.1159/000504530] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 11/04/2019] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND AND PURPOSE Cerebral microbleeds (CMB) are reported to be frequent in moyamoya disease (MMD) and moyamoya syndrome (MMS) in the Asian population. It is associated with an increased risk of intracerebral hemorrhage. The significance of CMB in MMD/MMS in non-Asian populations has not been well established. Our study aimed to investigate the prevalence of CMB in MMD/MMS in a moymoya cohort with a majority of non-Asians and to identify risk factors for developing a CMB and its predictive value for subsequent vascular events. METHODS The moyamoya database was compiled by screening for MMD/MMS among patients admitted to the Zale-Lipshy University Hospital at the University of Texas Southwestern Medical Center. We identified and analyzed data of 67 patients with MMD or MMS. Patients were characterized as CMB+ or CMB- based on MRI findings. In CMB+ patients, the total number and location of CMB were identified. Univariate and multivariate logistic regression were used to identify risk factors for developing CMB and whether CMB are associated with the development of subsequent vascular events. RESULTS Out of a total of 67 patients, 11 (16%) had CMB. Males had significantly higher odds of having CMB as compared to females (OR 1.76; 95% CI 1.40-24.3, p = 0.021). The incidence of CMB was also associated with age at diagnosis (mean age of CMB+ patients vs. CMB- patients: 44 vs. 34 years, respectively, p = 0.024), smoking (p = 0.006), and hemorrhagic stroke at presentation (p = 0.034). Logistic regression with multivariate analysis found that gender and age at diagnosis remained statistically significant. New ischemic events occurred in 2 (20%) out of 10 CMB+ patients and 13 (23%) out of 55 CMB- patients, respectively (p = 0.79). While 2 (3%) CMB- patients had a new cerebral hemorrhage during follow-up, none of the CMB+ patients did. CONCLUSIONS CMB are less prevalent in MMD/MMS in the USA than in Asia. An older age at diagnosis and male gender were associated with CMB. The presence of CMB was not associated with an increased risk of a subsequent ischemic or hemorrhagic stroke.
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Affiliation(s)
- Nadeem I Khan
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Ali A Saherwala
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Mo Chen
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Sepand Salehian
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Hisham Salahuddin
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Babu G Welch
- Department of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Marco C Pinho
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Ty Shang
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA,
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32
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Corona-Ruiz JM, Welch BG. Book Review: Acute Stroke Management in the First 24 Hours: A Practical Guide for Clinicians. Oper Neurosurg (Hagerstown) 2019. [DOI: 10.1093/ons/opz051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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33
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Linfante I, Nogueira RG, Zaidat OO, Arthur AS, Klucznik RP, Mack WJ, Welch BG, Siddiqui AH, Mocco J. A joint statement from the Neurointerventional Societies: our position on operator experience and training for stroke thrombectomy. J Neurointerv Surg 2019; 11:533-534. [DOI: 10.1136/neurintsurg-2019-015047] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/23/2019] [Indexed: 11/03/2022]
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34
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Wu EM, El Ahmadieh TY, Kafka B, Caruso JP, Neeley OJ, Plitt AR, Aoun SG, Olson D, Ruchinskas RA, Cullum CM, Welch BG, Batjer HH, White JA. Clinical outcomes of normal pressure hydrocephalus in 116 patients: objective versus subjective assessment. J Neurosurg 2019; 132:1757-1763. [PMID: 30978684 DOI: 10.3171/2019.1.jns181598] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Accepted: 01/18/2019] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Objective assessment tests are commonly used to predict the response to ventriculoperitoneal (VP) shunting in patients with normal pressure hydrocephalus (NPH). Whether subjective reports of improvement after a lumbar drain (LD) trial can predict response to VP shunting remains controversial. The goal in this study was to compare clinical characteristics, complication rates, and shunt outcomes of objective and subjective LD responders who underwent VP shunt placement. METHODS This was a retrospective review of patients with NPH who underwent VP shunt placement after clinical improvement with the LD trial. Patients who responded after the LD trial were subclassified into objective LD responders and subjective LD responders. Clinical characteristics, complication rates, and shunt outcomes between the 2 groups were compared with chi-square test of independence and t-test. RESULTS A total of 116 patients received a VP shunt; 75 were objective LD responders and 41 were subjective LD responders. There was no statistically significant difference in patient characteristics between the 2 groups, except for a shorter length of stay after LD trial seen with subjective responders. The complication rates after LD trial and VP shunting were not significantly different between the 2 groups. Similarly, there was no significant difference in shunt response between objective and subjective LD responders. The mean duration of follow-up was 1.73 years. CONCLUSIONS Reports of subjective improvement after LD trial in patients with NPH can be a reliable predictor of shunt response. The currently used objective assessment scales may not be sensitive enough to detect subtle changes in symptomatology after LD trial.
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Affiliation(s)
- Eva M Wu
- 1School of Medicine, The University of Texas Southwestern Medical Center
| | - Tarek Y El Ahmadieh
- 2Department of Neurological Surgery, The University of Texas Southwestern Medical Center
| | - Benjamin Kafka
- 2Department of Neurological Surgery, The University of Texas Southwestern Medical Center
| | - James P Caruso
- 2Department of Neurological Surgery, The University of Texas Southwestern Medical Center
| | - Om J Neeley
- 2Department of Neurological Surgery, The University of Texas Southwestern Medical Center
| | - Aaron R Plitt
- 2Department of Neurological Surgery, The University of Texas Southwestern Medical Center
| | - Salah G Aoun
- 2Department of Neurological Surgery, The University of Texas Southwestern Medical Center
| | - Daiwai Olson
- 2Department of Neurological Surgery, The University of Texas Southwestern Medical Center.,3Department of Neurology & Neurotherapeutics, Zale Lipshy Hospital, The University of Texas Southwestern Medical Center; and
| | - Robert A Ruchinskas
- 3Department of Neurology & Neurotherapeutics, Zale Lipshy Hospital, The University of Texas Southwestern Medical Center; and.,4Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, Texas
| | - C Munro Cullum
- 3Department of Neurology & Neurotherapeutics, Zale Lipshy Hospital, The University of Texas Southwestern Medical Center; and.,4Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, Texas
| | - Babu G Welch
- 2Department of Neurological Surgery, The University of Texas Southwestern Medical Center
| | - H Hunt Batjer
- 2Department of Neurological Surgery, The University of Texas Southwestern Medical Center
| | - Jonathan A White
- 2Department of Neurological Surgery, The University of Texas Southwestern Medical Center
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35
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Ban VS, El Ahmadieh TY, Aoun SG, Plitt AR, Lyon KA, Eddleman C, Beecher J, McDougall CM, Reisch J, Welch BG, Samson D, Batjer HH, White J. Prediction of Outcomes for Ruptured Aneurysm Surgery. Stroke 2019; 50:595-601. [DOI: 10.1161/strokeaha.118.023771] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Vin Shen Ban
- From the Department of Neurological Surgery (V.S.B., T.Y.E.A., S.G.A., A.R.P., K.A.L., C.E., J.B., C.M.M., B.G.W., D.S., H.H.B., J.W.), University of Texas Southwestern Medical Center, Dallas
| | - Tarek Y. El Ahmadieh
- From the Department of Neurological Surgery (V.S.B., T.Y.E.A., S.G.A., A.R.P., K.A.L., C.E., J.B., C.M.M., B.G.W., D.S., H.H.B., J.W.), University of Texas Southwestern Medical Center, Dallas
| | - Salah G. Aoun
- From the Department of Neurological Surgery (V.S.B., T.Y.E.A., S.G.A., A.R.P., K.A.L., C.E., J.B., C.M.M., B.G.W., D.S., H.H.B., J.W.), University of Texas Southwestern Medical Center, Dallas
| | - Aaron R. Plitt
- From the Department of Neurological Surgery (V.S.B., T.Y.E.A., S.G.A., A.R.P., K.A.L., C.E., J.B., C.M.M., B.G.W., D.S., H.H.B., J.W.), University of Texas Southwestern Medical Center, Dallas
| | - Kristopher A. Lyon
- From the Department of Neurological Surgery (V.S.B., T.Y.E.A., S.G.A., A.R.P., K.A.L., C.E., J.B., C.M.M., B.G.W., D.S., H.H.B., J.W.), University of Texas Southwestern Medical Center, Dallas
| | - Christopher Eddleman
- From the Department of Neurological Surgery (V.S.B., T.Y.E.A., S.G.A., A.R.P., K.A.L., C.E., J.B., C.M.M., B.G.W., D.S., H.H.B., J.W.), University of Texas Southwestern Medical Center, Dallas
| | - Jeffrey Beecher
- From the Department of Neurological Surgery (V.S.B., T.Y.E.A., S.G.A., A.R.P., K.A.L., C.E., J.B., C.M.M., B.G.W., D.S., H.H.B., J.W.), University of Texas Southwestern Medical Center, Dallas
| | - Cameron M. McDougall
- From the Department of Neurological Surgery (V.S.B., T.Y.E.A., S.G.A., A.R.P., K.A.L., C.E., J.B., C.M.M., B.G.W., D.S., H.H.B., J.W.), University of Texas Southwestern Medical Center, Dallas
- Department of Radiology (C.M.M., B.G.W.), University of Texas Southwestern Medical Center, Dallas
| | - Joan Reisch
- Department of Clinical Sciences (J.R.), University of Texas Southwestern Medical Center, Dallas
| | - Babu G. Welch
- From the Department of Neurological Surgery (V.S.B., T.Y.E.A., S.G.A., A.R.P., K.A.L., C.E., J.B., C.M.M., B.G.W., D.S., H.H.B., J.W.), University of Texas Southwestern Medical Center, Dallas
- Department of Radiology (C.M.M., B.G.W.), University of Texas Southwestern Medical Center, Dallas
| | - Duke Samson
- From the Department of Neurological Surgery (V.S.B., T.Y.E.A., S.G.A., A.R.P., K.A.L., C.E., J.B., C.M.M., B.G.W., D.S., H.H.B., J.W.), University of Texas Southwestern Medical Center, Dallas
| | - H. Hunt Batjer
- From the Department of Neurological Surgery (V.S.B., T.Y.E.A., S.G.A., A.R.P., K.A.L., C.E., J.B., C.M.M., B.G.W., D.S., H.H.B., J.W.), University of Texas Southwestern Medical Center, Dallas
| | - Jonathan White
- From the Department of Neurological Surgery (V.S.B., T.Y.E.A., S.G.A., A.R.P., K.A.L., C.E., J.B., C.M.M., B.G.W., D.S., H.H.B., J.W.), University of Texas Southwestern Medical Center, Dallas
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McDougall CM, Ban VS, Beecher J, Pride L, Welch BG. Fifty shades of gradients: does the pressure gradient in venous sinus stenting for idiopathic intracranial hypertension matter? A systematic review. J Neurosurg 2019; 130:999-1005. [DOI: 10.3171/2017.8.jns17459] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2017] [Accepted: 08/21/2017] [Indexed: 11/06/2022]
Abstract
OBJECTIVEThe role of venous sinus stenting (VSS) for idiopathic intracranial hypertension (IIH) is not well understood. The aim of this systematic review is to attempt to identify subsets of patients with IIH who will benefit from VSS based on the pressure gradients of their venous sinus stenosis.METHODSMEDLINE/PubMed was searched for studies reporting venous pressure gradients across the stenotic segment of the venous sinus, pre- and post-stent pressure gradients, and clinical outcomes after VSS. Findings are reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.RESULTSFrom 32 eligible studies, a total of 186 patients were included in the analysis. Patients who had favorable outcomes had higher mean pressure gradients (22.8 ± 11.5 mm Hg vs 17.4 ± 8.0 mm Hg, p = 0.033) and higher changes in pressure gradients after stent placement (19.4 ± 10.0 mm Hg vs 12.0 ± 6.0 mm Hg, p = 0.006) compared with those with unfavorable outcomes. The post-stent pressure gradients between the 2 groups were not significantly different (2.8 ± 4.0 mm Hg vs 2.7 ± 2.0 mm Hg, p = 0.934). In a multivariate stepwise logistic regression controlling for age, sex, body mass index, CSF opening pressure, pre-stent pressure gradient, and post-stent pressure gradient, the change in pressure gradient with stent placement was found to be an independent predictor of favorable outcome (p = 0.028). Using a pressure gradient of 21 as a cutoff, 81/86 (94.2%) of patients with a gradient > 21 achieved favorable outcomes, compared with 82/100 (82.0%) of patients with a gradient ≤ 21 (p = 0.022).CONCLUSIONSThere appears to be a relationship between the pressure gradient of venous sinus stenosis and the success of VSS in IIH. A randomized controlled trial would help elucidate this relationship and potentially guide patient selection.
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Affiliation(s)
- Cameron M. McDougall
- Departments of 1Radiology and
- 2Neurosurgery, University of Texas Southwestern, Dallas, Texas
| | - Vin Shen Ban
- 2Neurosurgery, University of Texas Southwestern, Dallas, Texas
| | - Jeffrey Beecher
- 2Neurosurgery, University of Texas Southwestern, Dallas, Texas
| | | | - Babu G. Welch
- Departments of 1Radiology and
- 2Neurosurgery, University of Texas Southwestern, Dallas, Texas
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Dacus MR, Nickele C, Welch BG, Ban VS, Ringer AJ, Kim LJ, Levitt MR, Lanzino G, Kan P, Arthur AS. Matricidal cavernous aneurysms: a multicenter case series. J Neurointerv Surg 2019; 11:584-590. [DOI: 10.1136/neurintsurg-2018-014562] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 01/25/2019] [Accepted: 01/29/2019] [Indexed: 11/04/2022]
Abstract
BackgroundCavernous carotid artery aneurysms (CCAs) represent a unique subset of intracranial aneurysms due to their distinct natural history and the anatomy of the cavernous sinus. Enlarging CCAs can cause elastic compression of the parent internal carotid artery (ICA). We suggest defining aneurysms that cause luminal stenosis of their parent vessels as ‘matricidal aneurysms.’Though many patients are asymptomatic, presenting symptoms of CCAs include ophthalmoplegia with resulting diplopia, vision changes, pain, ptosis, facial numbness, and cavernous-carotid fistula. Less commonly, patients with CCAs can present with epistaxis, subarachnoid hemorrhage, and—in cases of matricidal aneurysms—ischemia due to stenosis. The proper management of stenosis caused by a matricidal CCA is not well established and may not be intuitive.MethodsWe present a multicenter retrospective case series of patients with matricidal CCAs.ResultsForty patients with matricidal aneurysms presented with both asymptomatic and symptomatic stenosis. These patients were either treated with conservative medical management, coiling, flow diversion, or endovascular sacrifice of the parent artery. Planned treatment modalities were not executed in 11 cases (28% treatment failure rate). Presenting symptoms, patient outcomes, and follow-up data are presented for all cases.ConclusionMatricidal aneurysms require careful consideration and planning. The restricted anatomy of the cavernous sinus can make successful execution of endovascular interventions more difficult. Direct elastic compression of the parent artery does not respond to angioplasty and stenting in the same way atherosclerotic stenosis does. Because of this, planning for the possibility of parent vessel sacrifice is important.
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Liu P, Welch BG, Thomas BP, Li Y, Pinho MC, Huang J, Lu H. Abstract WP168: Cerebrovascular Reactivity Predicts Surgical Decisions in Moyamoya Patients. Stroke 2019. [DOI: 10.1161/str.50.suppl_1.wp168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Moyamoya disease (MMD) is characterized by chronic occlusion of the distal intracranial internal carotid arteries and can be treated by revascularization surgery. At present, surgical decisions are primarily based on symptomatology and imaging studies using DSA and SPECT, which are are costly, invasive, time consuming and qualitative. Here we applied a novel iVas-MRI technique that provides quantitative assessment of multiple hemodynamic parameters in a 9-minute scan in MMD patients, and evaluated the ability of iVas parametric maps to predict surgical decisions in such patients.
Methods:
Sixteen MMD patients were scanned on 3T MRI. Each patient had at least one hemisphere pending decision regarding surgery at the time of MRI. During iVas-MRI, a concomitant CO2/O2 breathing challenge was performed while BOLD images were continuously collected. BOLD images and end-tidal (Et) CO2 and O2 traces were used to calculate maps of cerebrovascular reactivity (CVR, based on BOLD signal change to EtCO2 change), cerebral blood volume (CBV, based on BOLD signal change to EtO2 change), and bolus arrival time (BAT, based on the time lag between EtCO2/O2 and BOLD signal). Parametric values from the ICA perfusion territory were compared between two groups, surgical and medical, with decision made by the treating neurosurgeons blinded to research data. The area-under-the-ROC-curve (AUC) was calculated to evaluate the performance of the MRI indices in predicting surgical decisions.
Results:
Out of the 23 hemispheres under consideration, 9 were diagnosed as surgical and 14 considered medical. CVR, CO2-BAT and O2-BAT values showed significant differences between the two groups (p=0.0002, 0.005 and 0.001, respectively), while CBV values showed no difference (p=0.45). Brain hemispheres that required revascularization surgeries had lower CVR and longer BAT, compared to medically-managed hemispheres. ROC analyses revealed an AUC of 0.89, 0.84 and 0.95 for CVR, O2-BAT, and CO2-BAT respectively.
Conclusion:
Our results showed that CVR and BAT had a great accuracy in predicting surgical decisions. Therefore, iVas-MRI may be a cost-effective and reliable method to select between medical and surgical treatments for MMD patients.
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Affiliation(s)
- Peiying Liu
- Johns Hopkins Univ Sch of Medicine, Baltimore, MD
| | | | | | - Yang Li
- Johns Hopkins Univ Sch of Medicine, Baltimore, MD
| | | | - Judy Huang
- Johns Hopkins Univ Sch of Medicine, Baltimore, MD
| | - Hanzhang Lu
- Johns Hopkins Univ Sch of Medicine, Baltimore, MD
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Aoun SG, Welch BG, Cortes M, Stutzman SE, MacAllister MC, El Ahmadieh TY, Osman M, Figueroa SA, White JA, Batjer HH, Olson DM. Objective Pupillometry as an Adjunct to Prediction and Assessment for Oculomotor Nerve Injury and Recovery: Potential for Practical Applications. World Neurosurg 2018; 121:e475-e480. [PMID: 30267943 DOI: 10.1016/j.wneu.2018.09.140] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 09/17/2018] [Accepted: 09/18/2018] [Indexed: 11/16/2022]
Abstract
BACKGROUND Pupillary light reflex examinations are intrinsic to any good neurological examination. Consistent evidence has shown that automated pupillometry assessments provide superior accuracy and interrater correlation compared with bedside eye examinations. Pupillary indexes such as the neurological pupil index (NPI) can also provide several hours of warning before the advent of herniation syndromes or third nerve palsy. METHODS We determined the unique temporal relationship between NPI changes and third nerve palsy occurrence and recovery in an initially neurologically intact hospitalized patient. A 53-year-old woman presented with aneurysmal subarachnoid hemorrhage and headaches. Her aneurysm was treated surgically without complications. After lumbar drainage for hydrocephalus, she developed isolated left third nerve palsy that slowly recovered over the following weeks. Pupilometer data were obtained throughout her hospital stay. RESULTS A total of 121 pupillary measurement sets were obtained. The NPI had decreased to an abnormal level (<3) 12 hours before she became symptomatic. The NPI also started improving 24 hours before improvement in her clinical examination. The patient did not display signs of neurological dysfunction related to vasospasm during her stay. CONCLUSION The NPI seems to reliably correlate with third nerve function and appears to possess predictive temporal properties that could allow practitioners to anticipate neurological injury and recovery. These findings could affect the fields of neurosciences, trauma, military medicine, critical care, and ophthalmology.
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Affiliation(s)
- Salah G Aoun
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA.
| | - Babu G Welch
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA
| | - Michaela Cortes
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA
| | - Sonja E Stutzman
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA; Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Houston, Texas, USA; Division of Neurocritical Care, University of Texas Southwestern Medical Center, Houston, Texas, USA
| | - Matthew C MacAllister
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA
| | - Tarek Y El Ahmadieh
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA
| | - Mohamed Osman
- Division of Neurocritical Care, University of Texas Southwestern Medical Center, Houston, Texas, USA
| | - Stephen A Figueroa
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA; Division of Neurocritical Care, University of Texas Southwestern Medical Center, Houston, Texas, USA
| | - Jonathan A White
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA
| | - Hunt H Batjer
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA
| | - Daiwai M Olson
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA; Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Houston, Texas, USA
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De Leacy RA, Fargen KM, Mascitelli JR, Fifi J, Turkheimer L, Zhang X, Patel AB, Koch MJ, Pandey AS, Wilkinson DA, Griauzde J, James RF, Fortuny EM, Cruz A, Boulos A, Nourollah-Zadeh E, Paul A, Sauvageau E, Hanel R, Aguilar-Salinas P, Novakovic RL, Welch BG, Almardawi R, Jindal G, Shownkeen H, Levy EI, Siddiqui AH, Mocco J. Wide-neck bifurcation aneurysms of the middle cerebral artery and basilar apex treated by endovascular techniques: a multicentre, core lab adjudicated study evaluating safety and durability of occlusion (BRANCH). J Neurointerv Surg 2018; 11:31-36. [DOI: 10.1136/neurintsurg-2018-013771] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 04/17/2018] [Accepted: 04/18/2018] [Indexed: 11/04/2022]
Abstract
Background and purposeBRANCH (wide-neck bifurcation aneurysms of the middle cerebral artery and basilar apex treated by endovascular techniques) is a multicentre, retrospective study comparing core lab evaluation of angiographic outcomes with self-reported outcomes.Materials and methodsConsecutive patients were enrolled from 10 US centres, aged between 18 and 85 with unruptured wide-neck middle cerebral artery (MCA) or basilar apex aneurysms treated endovascularly. Patient demographics, aneurysm morphology, procedural information, mortality and morbidity data and core lab and self-reported modified Raymond Roy (RR) outcomes were obtained.Results115 patients met inclusion criteria. Intervention-related mortality and significant morbidity rates were 1.7% (2/115) and 5.8% (6/103) respectively. Core lab adjudicated RR1 and 2 occlusion rates at follow-up were 30.6% and 32.4% respectively. The retreatment rate within the follow-up window was 10/115 (8.7%) and in stent stenosis at follow-up was 5/63 (7.9%). Self-reporting shows a statistically significant direction to angiographic RR one outcomes at follow-up compared with core lab evaluation, with OR 1.75 (95% CI 1.08 to 2.83).ConclusionEndovascular treatment of wide-neck MCA and basilar apex aneurysms resulted in a core lab adjudicated RR1 occlusion rate of 30.6%. Self-reported results at follow-up favour better angiographic outcomes, with OR 1.75 (95% CI 1.08 to 2.83). These data demonstrate the need for novel endovascular devices specifically designed to treat complex intracranial aneurysms, as well as the importance of core lab adjudication in assessing outcomes in such a trial.
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Mokin M, Chinea A, Primiani CT, Ren Z, Kan P, Srinivasan VM, Hanel R, Aguilar-Salinas P, Turk AS, Turner RD, Chaudry MI, Ringer AJ, Welch BG, Mendes Pereira V, Renieri L, Piano M, Elijovich L, Arthur AS, Cheema A, Lopes DK, Saied A, Baxter BW, Hawk H, Puri AS, Wakhloo AK, Shallwani H, Levy EI, Siddiqui AH, Dabus G, Linfante I. Treatment of blood blister aneurysms of the internal carotid artery with flow diversion. J Neurointerv Surg 2018; 10:1074-1078. [DOI: 10.1136/neurintsurg-2017-013701] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 02/07/2018] [Accepted: 02/08/2018] [Indexed: 11/03/2022]
Abstract
BackgroundBlood blister aneurysms (BBA) are a rare subset of intracranial aneurysms that represent a therapeutic challenge from both a surgical and endovascular perspective.ObjectiveTo report multicenter experience with flow diversion exclusively for BBA, located at non-branching segments along the anteromedial wall of the supraclinoidal internal carotid artery (ICA).MethodsConsecutive cases of BBA located at non-branching segments along the anteromedial wall of the supraclinoidal ICA treated with flow diversion were included in the final analysis.Results49 patients with 51 BBA of the ICA treated with devices to achieve the flow diversion effect were identified. 43 patients with 45 BBA of the ICA were treated with the pipeline embolization device and were included in the final analysis. Angiographic follow-up data were available for 30 patients (32 aneurysms in total); 87.5% of aneurysms (28/32) showed complete obliteration, 9.4% (3/32) showed reduced filling, and 3.1% (1/32) persistent filling. There was no difference between the size of aneurysm (≤2 mm vs >2 mm) or the use of adjunct coiling and complete occlusion of the aneurysm on follow-up (P=0.354 and P=0.865, respectively). Clinical follow-up data were available for 38 of 43 patients. 68% of patients (26/38) had a good clinical outcome (modified Rankin scale score of 0–2) at 3 months. There were 7 (16%) immediate procedural and 2 (5%) delayed complications, with 1 case of fatal delayed re-rupture after the initial treatment.ConclusionsOur data support the use of a flow diversion technique as a safe and effective therapeutic modality for BBA of the supraclinoid ICA.
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Zuckerman SL, Lakomkin N, Magarik JA, Vargas J, Stephens M, Akinpelu B, Spiotta AM, Ahmed A, Arthur AS, Fiorella D, Hanel R, Hirsch JA, Hui FK, James RF, Kallmes DF, Meyers PM, Niemann DB, Rasmussen P, Turner RD, Welch BG, Mocco J. Evaluation of previously embolized intracranial aneurysms: inter-and intra-rater reliability among neurosurgeons and interventional neuroradiologists. J Neurointerv Surg 2017; 10:462-466. [PMID: 28918386 DOI: 10.1136/neurintsurg-2017-013231] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 08/17/2017] [Accepted: 08/21/2017] [Indexed: 02/01/2023]
Abstract
BACKGROUND The angiographic evaluation of previously coiled aneurysms can be difficult yet remains critical for determining re-treatment. OBJECTIVE The main objective of this study was to determine the inter-rater reliability for both the Raymond Scale and per cent embolization among a group of neurointerventionalists evaluating previously embolized aneurysms. METHODS A panel of 15 neurointerventionalists examined 92 distinct cases of immediate post-coil embolization and 1 year post-embolization angiographs. Each case was presented four times throughout the study, along with alterations in demographics in order to evaluate intra-rater reliability. All respondents were asked to provide the per cent embolization (0-100%) and Raymond Scale grade (1-3) for each aneurysm. Inter-rater reliability was evaluated by computing weighted kappa values (for the Raymond Scale) and intraclass correlation coefficients (ICC) for per cent embolization. RESULTS 10 neurosurgeons and 5 interventional neuroradiologists evaluated 368 simulated cases. The agreement among all readers employing the Raymond Scale was fair (κ=0.35) while concordance in per cent embolization was good (ICC=0.64). Clinicians with fewer than 10 years of experience demonstrated a significantly greater level of agreement than the group with greater than 10 years (κ=0.39 and ICC=0.70 vs κ=0.28 and ICC=0.58). When the same aneurysm was presented multiple times, clinicians demonstrated excellent consistency when assessing per cent embolization (ICC=0.82), but moderate agreement when employing the Raymond classification (κ=0.58). CONCLUSIONS Identifying the per cent embolization in previously coiled aneurysms resulted in good inter- and intra-rater agreement, regardless of years of experience. The strong agreement among providers employing per cent embolization may make it a valuable tool for embolization assessment in this patient population.
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Affiliation(s)
- Scott L Zuckerman
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Nikita Lakomkin
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Jordan A Magarik
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jan Vargas
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Marcus Stephens
- Department of Neurosurgery, University of Arkansas, Little Rock, Arkansas, USA
| | | | - Alejandro M Spiotta
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Azam Ahmed
- Department of Neurosurgery, University of Wisconsin, Madison, Wisconsin, USA
| | - Adam S Arthur
- Department of Neurosurgery, Semmes-Murphey Clinic, University of Tennessee Health Sciences Center, Memphis, Tennessee, USA
| | - David Fiorella
- Department of Neurosurgery, Cerebrovascular Center, Stony Brook University Medical Center, Stony Brook, New York, USA
| | - Ricardo Hanel
- Department of Lyerly Neurosurgery, Baptist Neurological Institute, Jacksonville, Florida, USA
| | - Joshua A Hirsch
- Neurointerventional Service, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ferdinand K Hui
- Department of Radiology, Johns Hopkins Hospital, Baltimore, Maryland, USA
| | - Robert F James
- Department of Neurosurgery, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - David F Kallmes
- Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Philip M Meyers
- Columbia University Medical Center, Departments of Neurosurgery and Radiology, New York, USA
| | - David B Niemann
- Department of Neurosurgery, University of Arkansas, Little Rock, Arkansas, USA
| | - Peter Rasmussen
- Department of Neurosurgery, Cleveland Clinic, Cleveland, Ohio, USA
| | - Raymond D Turner
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Babu G Welch
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - J Mocco
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
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Beecher JS, Lyon K, Ban VS, Vance A, McDougall CM, Whitworth LA, White JA, Samson D, Batjer HH, Welch BG. Delayed treatment of ruptured brain AVMs: is it ok to wait? J Neurosurg 2017; 128:999-1005. [PMID: 28686111 DOI: 10.3171/2017.1.jns16745] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Despite a hemorrhagic presentation, many patients with arteriovenous malformations (AVMs) do not require emergency resection. The timing of definitive management is not standardized in the cerebrovascular community. This study was designed to evaluate the safety of delaying AVM treatment in clinically stable patients with a new hemorrhagic presentation. The authors examined the rate of rehemorrhage or neurological decline in a cohort of patients with ruptured brain AVMs during a period of time posthemorrhage. METHODS Patients presenting to the authors' institution from January 2000 to December 2015 with ruptured brain AVMs treated at least 4 weeks posthemorrhage were included in this analysis. Exclusion criteria were ruptured AVMs that required emergency surgery involving resection of the AVM, prior treatment of AVM at another institution, or treatment of lesions within 4 weeks for other reasons (subacute surgery). The primary outcome measure was time from initial hemorrhage to treatment failure (defined as rehemorrhage or neurological decline as a direct result of the AVM). Patient-days were calculated from the day of initial rupture until the day AVM treatment was initiated or treatment failed. RESULTS Of 102 ruptured AVMs in 102 patients meeting inclusion criteria, 7 (6.9%) failed the treatment paradigm. Six patients (5.8%) had a new hemorrhage within a median of 248 days (interquartile range 33-1364 days). The total "at risk" period was 18,740 patient-days, yielding a rehemorrhage rate of 11.5% per patient-year, or 0.96% per patient-month. Twelve (11.8%) of 102 patients were found to have an associated aneurysm. In this group there was a single (8.3%) new hemorrhage during a total at-risk period of 263 patient-days until the aneurysm was secured, yielding a rehemorrhage risk of 11.4% per patient-month. CONCLUSIONS It is the authors' practice to rehabilitate patients after brain AVM rupture with a plan for elective treatment of the AVM. The present data are useful in that the findings quantify the risk of the authors' treatment strategy. These findings indicate that delaying intervention for at least 4 weeks after the initial hemorrhage subjects the patient to a low (< 1%) risk of rehemorrhage. The authors modified the treatment paradigm when a high-risk feature, such as an associated intracranial aneurysm, was identified.
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Aoun SG, White J, Welch BG, Batjer HH. Neurosurgical Training: A Process, Not an Event. World Neurosurg 2017; 104:996-998. [PMID: 28536065 DOI: 10.1016/j.wneu.2017.05.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Accepted: 05/12/2017] [Indexed: 11/17/2022]
Affiliation(s)
- Salah G Aoun
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jonathan White
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Babu G Welch
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - H Hunt Batjer
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
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Welch BG, Batjer HH. Commentary. J Neurosci Rural Pract 2017; 8:287. [PMID: 28479811 PMCID: PMC5402503 DOI: 10.4103/jnrp.jnrp_506_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Babu G Welch
- Department of Neurological Surgery, The University of Texas Southwestern, Dallas, Texas, USA
| | - H Hunt Batjer
- Department of Neurological Surgery, The University of Texas Southwestern, Dallas, Texas, USA
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Raval AN, Cigarroa JE, Chung MK, Diaz-Sandoval LJ, Diercks D, Piccini JP, Jung HS, Washam JB, Welch BG, Zazulia AR, Collins SP. Management of Patients on Non-Vitamin K Antagonist Oral Anticoagulants in the Acute Care and Periprocedural Setting: A Scientific Statement From the American Heart Association. Circulation 2017; 135:e604-e633. [PMID: 28167634 DOI: 10.1161/cir.0000000000000477] [Citation(s) in RCA: 156] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Non-vitamin K oral anticoagulants (NOACs) are now widely used as alternatives to warfarin for stroke prevention in atrial fibrillation and management of venous thromboembolism. In clinical practice, there is still widespread uncertainty on how to manage patients on NOACs who bleed or who are at risk for bleeding. Clinical trial data related to NOAC reversal for bleeding and perioperative management are sparse, and recommendations are largely derived from expert opinion. Knowledge of time of last ingestion of the NOAC and renal function is critical to managing these patients given that laboratory measurement is challenging because of the lack of commercially available assays in the United States. Idarucizumab is available as an antidote to rapidly reverse the effects of dabigatran. At present, there is no specific antidote available in the United States for the oral factor Xa inhibitors. Prothrombin concentrate may be considered in life-threatening bleeding. Healthcare institutions should adopt a NOAC reversal and perioperative management protocol developed with multidisciplinary input.
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Su P, Mao D, Liu P, Li Y, Pinho MC, Welch BG, Lu H. Multiparametric estimation of brain hemodynamics with MR fingerprinting ASL. Magn Reson Med 2016; 78:1812-1823. [PMID: 28019021 DOI: 10.1002/mrm.26587] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Revised: 11/01/2016] [Accepted: 11/24/2016] [Indexed: 01/18/2023]
Abstract
PURPOSE Assessment of brain hemodynamics without exogenous contrast agents is of increasing importance in clinical applications. This study aims to develop an MR perfusion technique that can provide noncontrast and multiparametric estimation of hemodynamic markers. METHODS We devised an arterial spin labeling (ASL) method based on the principle of MR fingerprinting (MRF), referred to as MRF-ASL. By taking advantage of the rich information contained in MRF sequence, up to seven hemodynamic parameters can be estimated concomitantly. Feasibility demonstration, flip angle optimization, comparison with Look-Locker ASL, reproducibility test, sensitivity to hypercapnia challenge, and initial clinical application in an intracranial steno-occlusive process, Moyamoya disease, were performed to evaluate this technique. RESULTS Magnetic resonance fingerprinting ASL provided estimation of up to seven parameters, including B1+, tissue T1 , cerebral blood flow (CBF), tissue bolus arrival time (BAT), pass-through arterial BAT, pass-through blood volume, and pass-through blood travel time. Coefficients of variation of the estimated parameters ranged from 0.2 to 9.6%. Hypercapnia resulted in an increase in CBF by 57.7%, and a decrease in BAT by 13.7 and 24.8% in tissue and vessels, respectively. Patients with Moyamoya disease showed diminished CBF and lengthened BAT that could not be detected with regular ASL. CONCLUSION Magnetic resonance fingerprinting ASL is a promising technique for noncontrast, multiparametric perfusion assessment. Magn Reson Med 78:1812-1823, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Pan Su
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Graduate School of Biomedical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Deng Mao
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Graduate School of Biomedical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Peiying Liu
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Yang Li
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Graduate School of Biomedical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Marco C Pinho
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Babu G Welch
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Hanzhang Lu
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Adams H, Ban VS, Leinonen V, Aoun SG, Huttunen J, Saavalainen T, Lindgren A, Frosen J, Fraunberg M, Koivisto T, Hernesniemi J, Welch BG, Jaaskelainen JE, Huttunen TJ. Risk of Shunting After Aneurysmal Subarachnoid Hemorrhage. Stroke 2016; 47:2488-96. [DOI: 10.1161/strokeaha.116.013739] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Accepted: 08/05/2016] [Indexed: 01/30/2023]
Abstract
Background and Purpose—
Shunt dependent hydrocephalus after aneurysmal subarachnoid hemorrhage (aSAH) is a common sequela that may lead to poor neurological outcome and predisposes to various interventions, admissions, and complications. We reviewed post-aSAH shunt dependency in a population-based sample and tested the feasibility of a clinical risk score to identify subgroups of aSAH patients with increasing risk of shunting for hydrocephalus.
Methods—
A total of 1533 aSAH patients from the population-based Eastern Finland Saccular Intracranial Aneurysm Database (Kuopio, Finland) were used in a recursive partitioning analysis to identify risk factors for shunting after aSAH. The risk model was built and internally validated in random split cohorts. External validation was conducted on 946 aSAH patients from the Southwestern Tertiary Aneurysm Registry (Dallas, TX) and tested using receiver-operating characteristic curves.
Results—
Of all patients alive ≥14 days, 17.7% required permanent cerebrospinal fluid diversion. The recursive partitioning analysis defined 6 groups with successively increased risk for shunting. These groups also successively risk stratified functional outcome at 12 months, shunt complications, and time-to-shunt rates. The area under the curve–receiver-operating characteristic curve for the exploratory sample and internal validation sample was 0.82 and 0.78, respectively, with an external validation of 0.68.
Conclusions—
Shunt dependency after aSAH is associated with higher morbidity and mortality, and prediction modeling of shunt dependency is feasible with clinically useful yields. It is important to identify and understand the factors that increase risk for shunting and to eliminate or mitigate the reversible factors. The aSAH-PARAS Consortium (Aneurysmal Subarachnoid Hemorrhage Patients’ Risk Assessment for Shunting) has been initiated to pool the collective insights and resources to address key questions in post-aSAH shunt dependency to inform future aSAH treatment guidelines.
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Affiliation(s)
- Hadie Adams
- From the Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Finland (H.A., V.L., J. Huttunen, T.S., A.L., J.F., M.F., T.K., J.E.J., T.J.H.); Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (V.S.B., S.G.A., B.G.W.); and Department of Neurosurgery, Helsinki University Hospital, Finland (J. Hernesniemi)
| | - Vin Shen Ban
- From the Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Finland (H.A., V.L., J. Huttunen, T.S., A.L., J.F., M.F., T.K., J.E.J., T.J.H.); Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (V.S.B., S.G.A., B.G.W.); and Department of Neurosurgery, Helsinki University Hospital, Finland (J. Hernesniemi)
| | - Ville Leinonen
- From the Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Finland (H.A., V.L., J. Huttunen, T.S., A.L., J.F., M.F., T.K., J.E.J., T.J.H.); Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (V.S.B., S.G.A., B.G.W.); and Department of Neurosurgery, Helsinki University Hospital, Finland (J. Hernesniemi)
| | - Salah G. Aoun
- From the Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Finland (H.A., V.L., J. Huttunen, T.S., A.L., J.F., M.F., T.K., J.E.J., T.J.H.); Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (V.S.B., S.G.A., B.G.W.); and Department of Neurosurgery, Helsinki University Hospital, Finland (J. Hernesniemi)
| | - Jukka Huttunen
- From the Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Finland (H.A., V.L., J. Huttunen, T.S., A.L., J.F., M.F., T.K., J.E.J., T.J.H.); Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (V.S.B., S.G.A., B.G.W.); and Department of Neurosurgery, Helsinki University Hospital, Finland (J. Hernesniemi)
| | - Taavi Saavalainen
- From the Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Finland (H.A., V.L., J. Huttunen, T.S., A.L., J.F., M.F., T.K., J.E.J., T.J.H.); Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (V.S.B., S.G.A., B.G.W.); and Department of Neurosurgery, Helsinki University Hospital, Finland (J. Hernesniemi)
| | - Antti Lindgren
- From the Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Finland (H.A., V.L., J. Huttunen, T.S., A.L., J.F., M.F., T.K., J.E.J., T.J.H.); Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (V.S.B., S.G.A., B.G.W.); and Department of Neurosurgery, Helsinki University Hospital, Finland (J. Hernesniemi)
| | - Juhana Frosen
- From the Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Finland (H.A., V.L., J. Huttunen, T.S., A.L., J.F., M.F., T.K., J.E.J., T.J.H.); Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (V.S.B., S.G.A., B.G.W.); and Department of Neurosurgery, Helsinki University Hospital, Finland (J. Hernesniemi)
| | - Mikael Fraunberg
- From the Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Finland (H.A., V.L., J. Huttunen, T.S., A.L., J.F., M.F., T.K., J.E.J., T.J.H.); Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (V.S.B., S.G.A., B.G.W.); and Department of Neurosurgery, Helsinki University Hospital, Finland (J. Hernesniemi)
| | - Timo Koivisto
- From the Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Finland (H.A., V.L., J. Huttunen, T.S., A.L., J.F., M.F., T.K., J.E.J., T.J.H.); Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (V.S.B., S.G.A., B.G.W.); and Department of Neurosurgery, Helsinki University Hospital, Finland (J. Hernesniemi)
| | - Juha Hernesniemi
- From the Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Finland (H.A., V.L., J. Huttunen, T.S., A.L., J.F., M.F., T.K., J.E.J., T.J.H.); Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (V.S.B., S.G.A., B.G.W.); and Department of Neurosurgery, Helsinki University Hospital, Finland (J. Hernesniemi)
| | - Babu G. Welch
- From the Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Finland (H.A., V.L., J. Huttunen, T.S., A.L., J.F., M.F., T.K., J.E.J., T.J.H.); Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (V.S.B., S.G.A., B.G.W.); and Department of Neurosurgery, Helsinki University Hospital, Finland (J. Hernesniemi)
| | - Juha E. Jaaskelainen
- From the Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Finland (H.A., V.L., J. Huttunen, T.S., A.L., J.F., M.F., T.K., J.E.J., T.J.H.); Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (V.S.B., S.G.A., B.G.W.); and Department of Neurosurgery, Helsinki University Hospital, Finland (J. Hernesniemi)
| | - Terhi J. Huttunen
- From the Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Finland (H.A., V.L., J. Huttunen, T.S., A.L., J.F., M.F., T.K., J.E.J., T.J.H.); Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (V.S.B., S.G.A., B.G.W.); and Department of Neurosurgery, Helsinki University Hospital, Finland (J. Hernesniemi)
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Liu P, Welch BG, Li Y, Gu H, King D, Yang Y, Pinho M, Lu H. Multiparametric imaging of brain hemodynamics and function using gas-inhalation MRI. Neuroimage 2016; 146:715-723. [PMID: 27693197 DOI: 10.1016/j.neuroimage.2016.09.063] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Revised: 09/21/2016] [Accepted: 09/26/2016] [Indexed: 12/30/2022] Open
Abstract
Diagnosis and treatment monitoring of cerebrovascular diseases routinely require hemodynamic imaging of the brain. Current methods either only provide part of the desired information or require the injection of multiple exogenous agents. In this study, we developed a multiparametric imaging scheme for the imaging of brain hemodynamics and function using gas-inhalation MRI. The proposed technique uses a single MRI scan to provide simultaneous measurements of baseline venous cerebral blood volume (vCBV), cerebrovascular reactivity (CVR), bolus arrival time (BAT), and resting-state functional connectivity (fcMRI). This was achieved with a novel, concomitant O2 and CO2 gas inhalation paradigm, rapid MRI image acquisition with a 9.3min BOLD sequence, and an advanced algorithm to extract multiple hemodynamic information from the same dataset. In healthy subjects, CVR and vCBV values were 0.23±0.03%/mmHg and 0.0056±0.0006%/mmHg, respectively, with a strong correlation (r=0.96 for CVR and r=0.91 for vCBV) with more conventional, separate acquisitions that take twice the scan time. In patients with Moyamoya syndrome, CVR in the stenosis-affected flow territories (typically anterior-cerebral-artery, ACA, and middle-cerebral-artery, MCA, territories) was significantly lower than that in posterior-cerebral-artery (PCA), which typically has minimal stenosis, flow territories (0.12±0.06%/mmHg vs. 0.21±0.05%/mmHg, p<0.001). BAT of the gas bolus was significantly longer (p=0.008) in ACA/MCA territories, compared to PCA, and the maps were consistent with the conventional contrast-enhanced CT perfusion method. FcMRI networks were robustly identified from the gas-inhalation MRI data after factoring out the influence of CO2 and O2 on the signal time course. The spatial correspondence between the gas-data-derived fcMRI maps and those using a separate, conventional fcMRI scan was excellent, showing a spatial correlation of 0.58±0.17 and 0.64±0.20 for default mode network and primary visual network, respectively. These findings suggest that advanced gas-inhalation MRI provides reliable measurements of multiple hemodynamic parameters within a clinically acceptable imaging time and is suitable for patient examinations.
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Affiliation(s)
- Peiying Liu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States
| | - Babu G Welch
- Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, TX 75390, United States; Department of Radiology, UT Southwestern Medical Center, Dallas, TX 75390, United States
| | - Yang Li
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States; Biomedical Engineering Graduate Program, UT Southwestern Medical Center, Dallas, TX 75390, United States
| | - Hong Gu
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, United States
| | - Darlene King
- Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, TX 75390, United States
| | - Yihong Yang
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, United States
| | - Marco Pinho
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX 75390, United States
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States.
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