Chetan Bettegowda

Chetan Bettegowda

Johns Hopkins University

H-index: 59

North America-United States

About Chetan Bettegowda

Chetan Bettegowda, With an exceptional h-index of 59 and a recent h-index of 50 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Cancer genetics, Neurosurgery, Neuro-oncology.

His recent articles reflect a diverse array of research interests and contributions to the field:

TRBC1-targeting antibody–drug conjugates for the treatment of T cell cancers

Impact of Antithrombotic Medications and Reversal Strategies on the Surgical Management and Outcomes of Traumatic Acute Subdural Hematoma

Exploring the impact of primary care utilization and health information exchange upon treatment patterns and clinical outcomes of glioblastoma patients

The Ribbon Sign as a Radiological Indicator of Intramedullary Spinal Cord Subependymomas

Recommendations for the collection and annotation of biosamples for analysis of biomarkers in neurofibromatosis and schwannomatosis clinical trials

Liquid biopsy for improving diagnosis and monitoring of CNS lymphomas: a RANO review

380 2021 WHO Grading Scheme Provides Minimal Incremental Improvement in Prognostic Stratification of a Retrospective IDH-Mutant Astrocytoma Cohort Compared to 2016 WHO Grading …

Characterizing the presentation, management, and clinical outcomes of patients with intradural spinal chordomas: a systematic review

Chetan Bettegowda Information

University

Johns Hopkins University

Position

Jennison and Novak Families Professor Department of Neurosurgery

Citations(all)

27140

Citations(since 2020)

16537

Cited By

17059

hIndex(all)

59

hIndex(since 2020)

50

i10Index(all)

179

i10Index(since 2020)

163

Email

University Profile Page

Johns Hopkins University

Chetan Bettegowda Skills & Research Interests

Cancer genetics

Neurosurgery

Neuro-oncology

Top articles of Chetan Bettegowda

TRBC1-targeting antibody–drug conjugates for the treatment of T cell cancers

Authors

Tushar D Nichakawade,Jiaxin Ge,Brian J Mog,Bum Seok Lee,Alexander H Pearlman,Michael S Hwang,Sarah R DiNapoli,Nicolas Wyhs,Nikita Marcou,Stephanie Glavaris,Maximilian F Konig,Sandra B Gabelli,Evangeline Watson,Cole Sterling,Nina Wagner-Johnston,Sima Rozati,Lode Swinnen,Ephraim Fuchs,Drew M Pardoll,Kathy Gabrielson,Nickolas Papadopoulos,Chetan Bettegowda,Kenneth W Kinzler,Shibin Zhou,Surojit Sur,Bert Vogelstein,Suman Paul

Journal

Nature

Published Date

2024/4

Antibody and chimeric antigen receptor (CAR) T cell-mediated targeted therapies have improved survival in patients with solid and haematologic malignancies 1, 2, 3, 4, 5, 6, 7, 8, 9. Adults with T cell leukaemias and lymphomas, collectively called T cell cancers, have short survival 10, 11 and lack such targeted therapies. Thus, T cell cancers particularly warrant the development of CAR T cells and antibodies to improve patient outcomes. Preclinical studies showed that targeting T cell receptor β-chain constant region 1 (TRBC1) can kill cancerous T cells while preserving sufficient healthy T cells to maintain immunity 12, making TRBC1 an attractive target to treat T cell cancers. However, the first-in-human clinical trial of anti-TRBC1 CAR T cells reported a low response rate and unexplained loss of anti-TRBC1 CAR T cells 13, 14. Here we demonstrate that CAR T cells are lost due to killing by the patient’s normal T …

Impact of Antithrombotic Medications and Reversal Strategies on the Surgical Management and Outcomes of Traumatic Acute Subdural Hematoma

Authors

Vikas N Vattipally,Kathleen R Ran,Ganiat A Giwa,Saket Myneni,Joseph M Dardick,Jordina Rincon-Torroella,Xiaobu Ye,James P Byrne,Jose I Suarez,Shih-Chun Lin,Christopher M Jackson,Debraj Mukherjee,Gary L Gallia,Judy Huang,Jon D Weingart,Tej D Azad,Chetan Bettegowda

Journal

World neurosurgery

Published Date

2024/2/1

ObjectiveCareful hematologic management is required in surgical patients with traumatic acute subdural hematoma (aSDH) taking antithrombotic medications. We sought to compare outcomes between patients with aSDH taking antithrombotic medications at admission who received antithrombotic reversal with patients with aSDH not taking antithrombotics.MethodsRetrospective review identified patients with traumatic aSDH requiring surgical evacuation. The cohort was divided based on antithrombotic use and whether pharmacologic reversal agents or platelet transfusions were administered. A 3-way comparison of outcomes was performed between patients taking anticoagulants who received pharmacologic reversal, patients taking antiplatelets who received platelet transfusion, and patients not taking antithrombotics. Multivariable regressions, adjusted for injury severity, further investigated associations with …

Exploring the impact of primary care utilization and health information exchange upon treatment patterns and clinical outcomes of glioblastoma patients

Authors

Megan Parker,Foad Kazemi,A Karim Ahmed,Cathleen C Kuo,Sumil K Nair,Jordina Rincon-Torroella,Christopher Jackson,Gary Gallia,Chetan Bettegowda,Jon Weingart,Henry Brem,Debraj Mukherjee

Journal

Journal of Neuro-Oncology

Published Date

2024/4/25

PurposeThere is limited literature describing care coordination for patients with glioblastoma (GBM). We aimed to investigate the impact of primary care and electronic health information exchange (HIE) between neurosurgeons, oncologists, and primary care providers (PCP) on GBM treatment patterns, postoperative outcomes, and survival.MethodsWe identified adult GBM patients undergoing primary resection at our institution (2007–2020). HIE was defined as shared electronic medical information between PCPs, oncologists, and neurosurgeons. Multivariate logistic regression analyses were used to determine the effect of PCPs and HIE upon initiation and completion of adjuvant therapy. Kaplan-Meier and multivariate Cox regression models were used to evaluate overall survival (OS).ResultsAmong 374 patients (mean age±SD: 57.7±13.5, 39.0% female), 81.0% had a PCP and 62.4% had electronic HIE. In …

The Ribbon Sign as a Radiological Indicator of Intramedullary Spinal Cord Subependymomas

Authors

Andrew M Hersh,Ann Liu,Jordina Rincon-Torroella,Haris I Sair,Daniel Lubelski,Chetan Bettegowda,Nir Shimony,Sheng-Fu Larry Lo,Daniel M Sciubba,George I Jallo

Journal

World neurosurgery

Published Date

2023/7/1

ObjectiveIntramedullary spinal cord (IMSC) subependymomas are rare World Health Organization grade 1 ependymal tumors. The potential presence of functional neural tissue within the tumor and poorly demarcated planes presents a risk to resection. Anticipating a subependymoma on preoperative imaging can inform surgical decision-making and improve patient counseling. Here, we present our experience recognizing IMSC subependymomas on preoperative magnetic resonance imaging (MRI) based on a distinctive characteristic termed the “ribbon sign.”MethodsWe retrospectively reviewed preoperative MRIs of patients presenting with IMSC tumors at a large tertiary academic institution between April 2005 and January 2022. The diagnosis was confirmed histologically. The “ribbon sign” was defined as a ribbon-like structure of T2 isointense spinal cord tissue interwoven between regions of T2 hyperintense …

Recommendations for the collection and annotation of biosamples for analysis of biomarkers in neurofibromatosis and schwannomatosis clinical trials

Authors

R Taylor Sundby,Steven D Rhodes,Edina Komlodi-Pasztor,Herb Sarnoff,Vito Grasso,Meena Upadhyaya,AeRang Kim,D Gareth Evans,Jaishri O Blakeley,C Oliver Hanemann,Chetan Bettegowda

Published Date

2024/2

IntroductionNeurofibromatosis 1 and schwannomatosis are characterized by potential lifelong morbidity and life-threatening complications. To date, however, diagnostic and predictive biomarkers are an unmet need in this patient population. The inclusion of biomarker discovery correlatives in neurofibromatosis 1/schwannomatosis clinical trials enables study of low-incidence disease. The implementation of a common data model would further enhance biomarker discovery by enabling effective concatenation of data from multiple studies.MethodsThe Response Evaluation in Neurofibromatosis and Schwannomatosis biomarker working group reviewed published data on emerging trends in neurofibromatosis 1 and schwannomatosis biomarker research and developed recommendations in a series of consensus meetings.ResultsLiquid biopsy has emerged as a promising assay for neurofibromatosis 1 …

Liquid biopsy for improving diagnosis and monitoring of CNS lymphomas: a RANO review

Authors

Lakshmi Nayak,Chetan Bettegowda,Florian Scherer,Norbert Galldiks,Manmeet Ahluwalia,Alexander Baraniskin,Louisa von Baumgarten,Jacoline EC Bromberg,Andrés JM Ferreri,Christian Grommes,Khê Hoang-Xuan,Julia Kühn,James L Rubenstein,Roberta Rudà,Michael Weller,Susan M Chang,Martin J van den Bent,Patrick Y Wen,Riccardo Soffietti

Published Date

2024/4/10

Background The utility of liquid biopsies is well documented in several extracranial and intracranial (brain/leptomeningeal metastases, gliomas) tumors. Methods The RANO (Response Assessment in Neuro-Oncology) group has set up a multidisciplinary Task Force to critically review the role of blood and CSF-liquid biopsy in central nervous system lymphomas, with a main focus on primary central nervous system lymphomas (PCNSL). Results Several clinical applications are suggested: diagnosis of PCNSL in critical settings (elderly or frail patients, deep locations, steroids responsiveness), definition of minimal residual disease, early indication of tumor response or relapse following treatments and prediction of outcome. Conclusions Thus far, no clinically validated circulating biomarkers for managing both primary and secondary CNS …

380 2021 WHO Grading Scheme Provides Minimal Incremental Improvement in Prognostic Stratification of a Retrospective IDH-Mutant Astrocytoma Cohort Compared to 2016 WHO Grading …

Authors

Anita Kalluri,Saket Myneni,Megan Parker,Carly Weber-Levine,Umar Arshad,Jacob Shaw,Samantha Sarlin,Ashley Rempert,Chloe Dunseath,Joshua Materi,Divyaansh Raj,Jordina N Rincon Torroella,Xiaobu Ye,Calixto-Hope Lucas,Chetan Bettegowda

Journal

Neurosurgery

Published Date

2024/4/1

METHODS:We retrospectively identified 176 adult IDHmAstro patients with available next-generation sequencing (NGS). All tumors were regraded based on the 2021 and 2016 WHO grading schema using relevant histopathological (mitotic rate, microvascular proliferation, necrosis) and molecular (CDKN2A) features. The prognostic ability of each grading schema was evaluated with Kaplan-Meier and multivariate Cox Regression analyses.RESULTS:The cohort consisted of 76 grade 2 (43.2%), 45 grade 3 (25.6%), and 55 grade 4 (31.3%) IDHmAstro cases using the 2021 grading schema. Only four patients (2%) had a grade change from the 2016 WHO grading scheme-one prior 2016 WHO grade II and three grade III tumors, all regraded to Grade 4 based on present CDKN2A homozygous deletion. When assessed based on both classification schemas, WHO Grade 4/IV tumors were associated with lower OS than …

Characterizing the presentation, management, and clinical outcomes of patients with intradural spinal chordomas: a systematic review

Authors

Max A Saint-Germain,Patrick Kramer,Carly Weber-Levine,Kelly Jiang,Abdel-Hameed Al-Mistarehi,Kristin J Redmond,Sang H Lee,Chetan Bettegowda,Nicholas Theodore,Daniel Lubelski

Published Date

2024/5/1

OBJECTIVE Chordomas are locally aggressive neoplasms of the spine or skull base that arise from embryonic remnants of the notochord. Intradural chordomas represent a rare subset of these neoplasms, and few studies have described intradural chordomas in the spine. This review evaluates the presentation, management, and outcomes of intradural spinal chordomas. METHODS A systematic review of PubMed/MEDLINE, EMBASE, Cochrane Library, Scopus, and Web of Science was performed. Studies describing at least 1 case of intradural chordomas anywhere in the spine were included. Extracted details included presenting symptoms, radiological findings, treatment course, follow-up, and disease progression. RESULTS Thirty-one studies, with a total of 41 patients, were included in this review. Seventy-six percent (31/41) of patients had …

Exploring disparities in surgical recommendations for patients with primary intramedullary spinal cord tumors: an analysis of the Surveillance, Epidemiology, and End Results …

Authors

Megan Parker,Melanie A Horowitz,Sachiv Chakravarti,Jiaqi Liu,Cathleen C Kuo,Julian Gendreau,Daniel Lubelski,Jordina Rincon-Torroella,Chetan Bettegowda,Debraj Mukherjee

Journal

Journal of Neurosurgery: Spine

Published Date

2024/3/22

OBJECTIVE Factors that may drive recommendations for operative intervention for patients with intramedullary spinal cord tumors (ISCTs) have yet to be extensively studied. The authors investigated racial and socioeconomic disparities in the management of patients with primary spinal cord ependymomas and nonependymal gliomas, with the aim of determining the associations between socioeconomic patient characteristics, survival, and recommendations for the resection of primary ISCTs. METHODS The Surveillance, Epidemiology, and End Results registry was queried to identify all patients> 18 years of age with ISCTs diagnosed between 2000 and 2019. Univariable and multivariable logistic regression analyses were used to calculate odds ratios for variables associated with receiving a surgical recommendation. Log-rank tests and multivariable Cox proportional hazards models were used to investigate …

Characterization of Immune Cell Heterogeneity, Key B Cell Subtypes, and Macrophages Functions Using Multiplex Immunofluorescence and Single-cell RNA Sequencing in Chordomas

Authors

Victor Andrés Arrieta,Jasim K Benotmane,Junfei Zhao,Silpol Dhiantravan,David Hou,Joshua L Katz,Surya Pandey,Meghan E Cholak,Yu Han,Chetan Bettegowda,Craig Horbinski,Jason Miska,Roger Stupp,Maciej S Lesniak,Adam M Sonabend,Jean-Paul Wolinsky,Henrik Heiland,Catalina Lee Chang

Journal

Neurosurgery

Published Date

2024/4/1

METHODS:We analyzed and quantified the immune cell composition (CD3+, CD4+, CD8+, CD20+, and CD163+ cells) of 33 chordomas (14 clival, 3 cervical, 2 lumbar, and 14 sacral tumors) through multiplex immunofluorescence. In addition, we investigated the phenotype of tumor-infiltrating and peripheral B cells and myeloid cells from five chordoma patients employing single-cell RNA sequencing.RESULTS:Hierarchical clustering analysis of 33 chordomas identified 3 distinct clusters based on the relative abundance of B cells, T cells, and macrophages. Cluster 1 was characterized by moderate immune cell infiltration, cluster 2 was immune-desertic, and cluster 3 was highly infiltrated by B and T cells. Findings from single-cell transcriptomics revealed that regulatory B cells and plasma cells were the most abundant B cell populations infiltrating tumors. In addition, we found the presence of tumor-infiltrating …

Machine learning to detect the SINEs of cancer

Authors

Christopher Douville,Kamel Lahouel,Albert Kuo,Haley Grant,Bracha Erlanger Avigdor,Samuel D Curtis,Mahmoud Summers,Joshua D Cohen,Yuxuan Wang,Austin Mattox,Jonathan Dudley,Lisa Dobbyn,Maria Popoli,Janine Ptak,Nadine Nehme,Natalie Silliman,Cherie Blair,Katharine Romans,Christopher Thoburn,Jennifer Gizzi,Robert E Schoen,Jeanne Tie,Peter Gibbs,Lan T Ho-Pham,Bich NH Tran,Thach S Tran,Tuan V Nguyen,Michael Goggins,Christopher L Wolfgang,Tian-Li Wang,Ie-Ming Shih,Anne Marie Lennon,Ralph H Hruban,Chetan Bettegowda,Kenneth W Kinzler,Nickolas Papadopoulos,Bert Vogelstein,Cristian Tomasetti

Journal

Science Translational Medicine

Published Date

2024/1/24

We previously described an approach called RealSeqS to evaluate aneuploidy in plasma cell-free DNA through the amplification of ~350,000 repeated elements with a single primer. We hypothesized that an unbiased evaluation of the large amount of sequencing data obtained with RealSeqS might reveal other differences between plasma samples from patients with and without cancer. This hypothesis was tested through the development of a machine learning approach called Alu Profile Learning Using Sequencing (A-PLUS) and its application to 7615 samples from 5178 individuals, 2073 with solid cancer and the remainder without cancer. Samples from patients with cancer and controls were prespecified into four cohorts used for model training, analyte integration, and threshold determination, validation, and reproducibility. A-PLUS alone provided a sensitivity of 40.5% across 11 different cancer types in the …

The Socioeconomic Distressed Communities Index Predicts 90-day Mortality among Intracranial Tumor Patients

Authors

Sachiv Chakravarti,Cathleen C Kuo,Atharv Oak,Sruthi Ranganathan,Adrian E Jimenez,Foad Kazemi,Max A Saint-Germain,Gary Gallia,Jordina Rincon-Torroella,Christopher Jackson,Chetan Bettegowda,Debraj Mukherjee

Journal

World Neurosurgery

Published Date

2024/4/8

BACKGROUNDSocioeconomic status (SES) is a major determinant of quality of life and outcomes. However, SES remains difficult to measure comprehensively. Distress communities index (DCI), a composite of seven socioeconomic factors, has been increasingly recognized for its correlation with poor outcomes.OBJECTIVETo determine the predictive value of DCI on outcomes following intracranial tumor surgery.METHODSA single institution, retrospective review was conducted to identify adult intracranial tumor patients undergoing resection (2016–2021). Patient ZIP codes were matched to DCI and stratified by DCI quartiles (low:0–24.9, low-intermediate:25–49.9, intermediate-high:50–74.9, high:75–100). Univariate followed by multivariate regressions assessed the effects of DCI on postoperative outcomes. Receiver operating curves (ROC) were generated for significant outcomes.RESULTSA total of 2,389 …

The hospital frailty risk score independently predicts postoperative outcomes in meningioma patients

Authors

Adrian E Jimenez,Sachiv Chakravarti,Jiaqi Liu,Foad Kazemi,Christopher Jackson,Gary Gallia,Chetan Bettegowda,Jon Weingart,Henry Brem,Debraj Mukherjee

Journal

World Neurosurgery

Published Date

2024/1/9

ObjectiveThe Hospital Frailty Risk Score (HFRS) is a tool for quantifying patient frailty using International Classification of Diseases, Tenth Revision codes. This study aimed to determine the utility of the HFRS in predicting surgical outcomes after resection of glioblastoma (GBM) and compare its prognostic ability with other validated indices such as American Society of Anesthesiologists score and Charlson Comorbidity Index.MethodsA retrospective analysis was conducted using a GBM patient database (2017–2019) at a single institution. HFRS was calculated using International Classification of Diseases, Tenth Revision codes. Bivariate logistic regression was used to model prognostic ability of each frailty index, and model discrimination was assessed using area under the receiver operating characteristic curve. Multivariate linear and logistic regression models were used to assess for significant associations …

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling and Annotation Redundancy Restriction

Authors

Daniel D Kim,Rajat S Chandra,Jian Peng,Jing Wu,Xue Feng,Michael Atalay,Chetan Bettegowda,Craig Jones,Haris Sair,Wei-hua Liao,Chengzhang Zhu,Beiji Zou,Li Yang,Anahita Fathi Kazerooni,Ali Nabavizadeh,Harrison X Bai,Zhicheng Jiao

Journal

arXiv preprint arXiv:2302.10185

Published Date

2023/2/5

Deep learning models have demonstrated great potential in medical 3D imaging, but their development is limited by the expensive, large volume of annotated data required. Active learning (AL) addresses this by training a model on a subset of the most informative data samples without compromising performance. We compared different AL strategies and propose a framework that minimizes the amount of data needed for state-of-the-art performance. 638 multi-institutional brain tumor MRI images were used to train a 3D U-net model and compare AL strategies. We investigated uncertainty sampling, annotation redundancy restriction, and initial dataset selection techniques. Uncertainty estimation techniques including Bayesian estimation with dropout, bootstrapping, and margins sampling were compared to random query. Strategies to avoid annotation redundancy by removing similar images within the to-be-annotated subset were considered as well. We determined the minimum amount of data necessary to achieve similar performance to the model trained on the full dataset ({\alpha} = 0.1). A variance-based selection strategy using radiomics to identify the initial training dataset is also proposed. Bayesian approximation with dropout at training and testing showed similar results to that of the full data model with less than 20% of the training data (p=0.293) compared to random query achieving similar performance at 56.5% of the training data (p=0.814). Annotation redundancy restriction techniques achieved state-of-the-art performance at approximately 40%-50% of the training data. Radiomics dataset initialization had higher Dice with initial …

352 Outcomes After Microvascular Decompression for Sole Arterial Versus Venous Compression in Trigeminal Neuralgia

Authors

Sumil Nair,Michael Xie,Kathleen Renee Ran,Collin Kilgore,Anita Kalluri,Judy Huang,Michael Lim,Chetan Bettegowda,Risheng Xu

Journal

Neurosurgery

Published Date

2024/4/1

METHODS:We retrospectively reviewed all patients undergoing microvascular decompression at our institution, identifying patients with either sole arterial or venous compression. We dichotomized patients into arterial or venous groups and obtained demographics and postoperative complications for each case. Barrow Neurological Index (BNI) pain scores were collected preoperatively, postoperatively, and at final follow-up, as well as recurrence of pain. Differences were calculated via Chi-squared tests and t-tests. Ordinal regression was used to account for variables known to influence TN pain. Kaplan-Meier analysis was used to determine recurrence-free survival.RESULTS:Of 1044 patients, 642 (61.7%) had either sole arterial or venous compression. 472 of these cases demonstrated arterial compression, and 170 displayed sole venous compression. Patients in the venous compression group were significantly …

A fully automated deep-learning model for predicting the molecular subtypes of posterior fossa ependymomas using T2-weighted images

Authors

Dan Cheng,Zhizheng Zhuo,Jiang Du,Jinyuan Weng,Chengzhou Zhang,Yunyun Duan,Ting Sun,Minghao Wu,Min Guo,Tiantian Hua,Ying Jin,Boyang Peng,Zhaohui Li,Mingwang Zhu,Maliha Imami,Chetan Bettegowda,Haris Sair,Harrison X Bai,Frederik Barkhof,Xing Liu,Yaou Liu

Journal

Clinical Cancer Research

Published Date

2024/1/5

Purpose We aimed to develop and validate a deep learning (DL) model to automatically segment posterior fossa ependymoma (PF-EPN) and predict its molecular subtypes [Group A (PFA) and Group B (PFB)] from preoperative MR images. Experimental Design We retrospectively identified 227 PF-EPNs (development and internal test sets) with available preoperative T2-weighted (T2w) MR images and molecular status to develop and test a 3D nnU-Net (referred to as T2-nnU-Net) for tumor segmentation and molecular subtype prediction. The network was externally tested using an external independent set [n = 40; subset-1 (n = 31) and subset-2 (n =9)] and prospectively enrolled cases [prospective validation set (n = 27)]. The Dice similarity coefficient was used to evaluate the segmentation performance. Receiver operating characteristic analysis for molecular subtype …

Abstract LB097: Sensitive detection of central nervous system tumors using a sequencing based cerebrospinal fluid test

Authors

Christopher B Douville,Chetan Bettegowda

Journal

Cancer Research

Published Date

2024/4/5

The current approach to diagnosing and monitoring tumors of the central nervous system relies almost exclusively on radiographic imaging and neurosurgical procedures. Cerebrospinal fluid (CSF) is appealing for diagnosis because it is already part of the standard of care for the diagnosis or management of several types of CNS disease, including cancer, and the tumor DNA is more highly concentrated inside the blood brain barrier than in plasma or other bodily fluids. Even though cytology is widely used, sensitivity remains low ranging from 2% to 50%, depending on cancer type. We report an analytic technique that efficiently introduces identical molecular barcodes to both strands of CSF template DNA molecules for the identification of cancer specific somatic mutations and copy number alterations. We apply this approach to 126 CSF samples obtained from individuals with known primary or metastatic tumors …

Neurovascular compression in patients with trigeminal neuralgia may be associated with worse outcomes after primary percutaneous rhizotomy

Authors

Sumil K Nair,Hussain Al-Khars,Anita Kalluri,Kathleen Ran,Collin Kilgore,Bhargavi R Budihal,Mostafa Abdulrahim,Vivek Yedavalli,Christopher M Jackson,Judy Huang,Michael Lim,Chetan Bettegowda,Risheng Xu

Journal

Neurosurgery

Published Date

2024/5/1

METHODS:We retrospectively reviewed all patients undergoing percutaneous rhizotomy at our institution from 1995 to 2022. Patients were included if they had no history of surgical intervention, available preoperative MRI imaging, and postoperative follow-up data. Barrow Neurological Institute pain scores were assigned at various time points. We collected baseline patient information, pain characteristics, and perioperative complications for each patient. In addition, we recorded evidence of pain recurrence. Patients were dichotomized into those with evidence of neurovascular compression on preoperative MRI vs those without. The effect of neurovascular compression on pain-free survival was assessed using Kaplan-Meier Cox proportional hazards analyses.RESULTS:Of the 2726 patients reviewed, 298 met our inclusion criteria. Our study comprised 261 patients with no evidence of neurovascular compression …

Preoperative patient-reported physical health-related quality of life predicts short-term postoperative outcomes in brain tumor patients

Authors

Sachiv Chakravarti,Cathleen C Kuo,Foad Kazemi,Ashley Kang,Calixto-Hope Lucas,Victoria Croog,David Kamson,Karisa C Shreck,Matthias Holdhoff,Chetan Bettegowda,Debraj Mukherjee

Journal

Journal of Neuro-Oncology

Published Date

2024/3/4

BackgroundPatient-reported outcome measures (PROMs) are increasingly used to assess patients’ perioperative health. The PROM Information System 29 (PROMIS-29) is a well-validated global health assessment instrument for patient physical health, though its utility in cranial neurosurgery is unclear.ObjectiveTo investigate the utility of preoperative PROMIS-29 physical health (PH) summary scores in predicting postoperative outcomes in brain tumor patients.MethodsAdult brain tumor patients undergoing resection at a single institution (January 2018-December 2021) were identified and prospectively received PROMIS-29 surveys during pre-operative visits. PH summary scores were constructed and optimum prediction thresholds for length of stay (LOS), discharge disposition (DD), and 30-day readmission were approximated by finding the Youden index of the associated receiver operating characteristic curves …

Craniotomy versus craniectomy for traumatic acute subdural hematoma—coarsened exact matched analysis of outcomes

Authors

Kathleen R Ran,Vikas N Vattipally,Ganiat A Giwa,Saket Myneni,Divyaansh Raj,Joseph M Dardick,Jordina Rincon-Torroella,Xiaobu Ye,James P Byrne,Jose I Suarez,Shih-Chun Lin,Christopher M Jackson,Debraj Mukherjee,Gary L Gallia,Judy Huang,Jon D Weingart,Tej D Azad,Chetan Bettegowda

Journal

Journal of Clinical Neuroscience

Published Date

2024/1/1

Background and objectivesAcute subdural hematoma (aSDH) after traumatic brain injury frequently requires emergent craniotomy (CO) or decompressive craniectomy (DC). We sought to determine the variables associated with either surgical approach and to compare outcomes between matched patients.MethodsA multi-center retrospective review was used to identify traumatic aSDH patients who underwent CO or DC. Patient variables independently associated with surgical approach were used for coarsened exact matching. Multivariate logistic regression and multivariate Cox proportional-hazards regression were conducted on matched patients to determine independent predictors of mortality.ResultsSeventy-six patients underwent CO and sixty-two underwent DC for aSDH evacuation. DC patients were 21.4 years younger (P < 0.001), more likely to be male (80.6 % vs 60.5 %, P = 0.011), and present with GCS …

See List of Professors in Chetan Bettegowda University(Johns Hopkins University)

Chetan Bettegowda FAQs

What is Chetan Bettegowda's h-index at Johns Hopkins University?

The h-index of Chetan Bettegowda has been 50 since 2020 and 59 in total.

What are Chetan Bettegowda's top articles?

The articles with the titles of

TRBC1-targeting antibody–drug conjugates for the treatment of T cell cancers

Impact of Antithrombotic Medications and Reversal Strategies on the Surgical Management and Outcomes of Traumatic Acute Subdural Hematoma

Exploring the impact of primary care utilization and health information exchange upon treatment patterns and clinical outcomes of glioblastoma patients

The Ribbon Sign as a Radiological Indicator of Intramedullary Spinal Cord Subependymomas

Recommendations for the collection and annotation of biosamples for analysis of biomarkers in neurofibromatosis and schwannomatosis clinical trials

Liquid biopsy for improving diagnosis and monitoring of CNS lymphomas: a RANO review

380 2021 WHO Grading Scheme Provides Minimal Incremental Improvement in Prognostic Stratification of a Retrospective IDH-Mutant Astrocytoma Cohort Compared to 2016 WHO Grading …

Characterizing the presentation, management, and clinical outcomes of patients with intradural spinal chordomas: a systematic review

...

are the top articles of Chetan Bettegowda at Johns Hopkins University.

What are Chetan Bettegowda's research interests?

The research interests of Chetan Bettegowda are: Cancer genetics, Neurosurgery, Neuro-oncology

What is Chetan Bettegowda's total number of citations?

Chetan Bettegowda has 27,140 citations in total.

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