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16 result(s) for "Adapa, Arjun"
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Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
Molecular classification has transformed the management of brain tumors by enabling more accurate prognostication and personalized treatment. However, timely molecular diagnostic testing for patients with brain tumors is limited, complicating surgical and adjuvant treatment and obstructing clinical trial enrollment. In this study, we developed DeepGlioma, a rapid (<90 seconds), artificial-intelligence-based diagnostic screening system to streamline the molecular diagnosis of diffuse gliomas. DeepGlioma is trained using a multimodal dataset that includes stimulated Raman histology (SRH); a rapid, label-free, non-consumptive, optical imaging method; and large-scale, public genomic data. In a prospective, multicenter, international testing cohort of patients with diffuse glioma ( n  = 153) who underwent real-time SRH imaging, we demonstrate that DeepGlioma can predict the molecular alterations used by the World Health Organization to define the adult-type diffuse glioma taxonomy (IDH mutation, 1p19q co-deletion and ATRX mutation), achieving a mean molecular classification accuracy of 93.3 ± 1.6%. Our results represent how artificial intelligence and optical histology can be used to provide a rapid and scalable adjunct to wet lab methods for the molecular screening of patients with diffuse glioma. DeepGlioma, a multimodal deep learning approach for intraoperative diagnostic screening of diffuse glioma, trained on stimulated Raman histology and large-scale public genomic data, can predict molecular alterations for diffuse glioma diagnosis with high accuracy.
Length of Stay Beyond Medical Readiness in a Neurosurgical Patient Population and Associated Healthcare Costs
Abstract BACKGROUND Length of stay beyond medical readiness (LOS-BMR) leads to increased expenses and higher morbidity related to hospital-acquired conditions. OBJECTIVE To determine the proportion of admitted neurosurgical patients who have LOS-BMR and associated risk factors and costs. METHODS We performed a prospective, cohort analysis of all neurosurgical patients admitted to our institution over 5 mo. LOS-BMR was assessed daily by the attending neurosurgeon and neuro-intensivist with a standardized criterion. Univariate and multivariate logistic regressions were performed. RESULTS Of the 884 patients admitted, 229 (25.9%) had a LOS-BMR. The average LOS-BMR was 2.7 ± 3.1 d at an average daily cost of $9 148.28 ± $12 983.10, which resulted in a total cost of $2 076 659.32 over the 5-mo period. Patients with LOS-BMR were significantly more likely to be older and to have hemiplegia, dementia, liver disease, renal disease, and diabetes mellitus. Patients with a LOS-BMR were significantly more likely to be discharged to a subacute rehabilitation/skilled nursing facility (40.2% vs 4.1%) or an acute/inpatient rehabilitation facility (22.7% vs 1.7%, P < .0001). Patients with Medicare insurance were more likely to have a LOS-BMR, whereas patients with private insurance were less likely (P = .048). CONCLUSION The most common reason for LOS-BMR was inefficient discharge of patients to rehabilitation and nursing facilities secondary to unavailability of beds at discharge locations, insurance clearance delays, and family-related issues.
Automated histologic diagnosis of CNS tumors with machine learning
The discovery of a new mass involving the brain or spine typically prompts referral to a neurosurgeon to consider biopsy or surgical resection. Intraoperative decision-making depends significantly on the histologic diagnosis, which is often established when a small specimen is sent for immediate interpretation by a neuropathologist. Access to neuropathologists may be limited in resource-poor settings, which has prompted several groups to develop machine learning algorithms for automated interpretation. Most attempts have focused on fixed histopathology specimens, which do not apply in the intraoperative setting. The greatest potential for clinical impact probably lies in the automated diagnosis of intraoperative specimens. Successful future studies may use machine learning to automatically classify whole-slide intraoperative specimens among a wide array of potential diagnoses.
The Role of mTOR Signaling in Tumor-Induced Alterations to Neuronal Function in Diffusely Infiltrating Glioma
The mammalian target of rapamycin (mTOR) is a serine/threonine kinase that integrates metabolic and environmental signals to regulate cell growth and survival. In the central nervous system, mTOR plays a pivotal role in neuronal development, plasticity, and circuit homeostasis. In diffusely infiltrating gliomas, including glioblastomas, mTOR signaling is frequently dysregulated and contributes to malignant progression, therapeutic resistance, and metabolic adaptation. Beyond tumor-intrinsic effects, recent evidence reveals that gliomas actively reprogram peritumoral neurons via mTOR-dependent mechanisms, leading to synaptic remodeling, hyperexcitability, and neurological symptoms such as seizures and cognitive dysfunction. These results position mTOR as a central mediator of both oncogenesis and neurological dysfunction in diffusely infiltrating glioma. While clinical trials of mTOR inhibitors in gliomas have so far shown limited efficacy, emerging data suggest these agents may ameliorate tumor-associated neurological dysfunction. This review synthesizes current knowledge of mTOR signaling across tumor and neuronal compartments in diffusely infiltrating glioma and highlights its potential as a therapeutic target at the intersection of cancer biology and neuroscience.
Thrombus Histology as It Relates to Mechanical Thrombectomy: A Meta-Analysis and Systematic Review
Abstract BACKGROUND Appropriate thrombus-device interaction is critical for recanalization. Histology can serve as a proxy for mechanical properties, and thus inform technique selection. OBJECTIVE To investigate the value of histologic characterization, we conducted a systematic review and meta-analysis on the relationship between thrombus histology and recanalization, technique, etiology, procedural efficiency, and imaging findings. METHODS In this meta-analysis, we identified studies published between March 2010 and March 2020 reporting findings related to the histologic composition of thrombi in large vessel occlusion stroke. Studies with at least 10 patients who underwent mechanical thrombectomy using stent retriever or aspiration were considered. Only studies in which retrieved thrombi were histologically processed were included. Patient-level data were requested when data could not be directly extracted. The primary outcome assessed was the relationship between thrombus histology and angiographic outcome. RESULTS A total of 22 studies encompassing 1623 patients met inclusion criteria. Clots associated with good angiographic outcome had higher red blood cell (RBC) content (mean difference [MD] 9.60%, 95% CI 3.85-15.34, P = .008). Thrombi retrieved by aspiration had less fibrin (MD −11.39, 95% CI −22.50 to −0.27, P = .046) than stent-retrieved thrombi. Fibrin/platelet-rich clots were associated with longer procedure times (MD 13.20, 95% CI 1.30-25.10, P = .037). Hyperdense artery sign was associated with higher RBC content (MD 14.17%, 95% CI 3.07-25.27, P = .027). No relationship was found between composition and etiology. CONCLUSION RBC-rich thrombi were associated with better recanalization outcomes and shorter procedure times, suggesting that preinterventional compositional characterization may yield important prognostic and therapeutic guidance.
Neurosurgical patients admitted via the emergency department initiating comfort care measures: a prospective cohort analysis
Background Given the serious nature of many neurosurgical pathologies, it is common for hospitalized patients to elect comfort care (CC) over aggressive treatment. Few studies have evaluated the incidence and risk factors of CC trends in patients admitted for neurosurgical emergencies. Objectives To analyze all neurosurgical patients admitted to a tertiary care academic referral center via the emergency department (ED) to determine incidence and characteristics of those who initiated CC measures during their initial hospital admission. Methods We performed a prospective, cohort analysis of all consecutive adult patients admitted to the neurosurgical service via the ED between October 2018 and May 2019. The primary outcome was the initiation of CC measures during the patient’s hospital admission. CC was defined as cessation of life-sustaining measures and a shift in focus to maintaining the comfort and dignity of the patient. Results Of the 428 patients admitted during the 7-month period, 29 (6.8%) initiated CC measures within 4.0 ± 4.0 days of admission. Patients who entered CC were significantly more likely to have a medical history of cerebrovascular disease (58.6% vs. 33.3%, p  = 0.006), dementia (17.2% vs. 1.5%, p  = 0.0004), or cancer with metastatic disease (24.1% vs. 7.0%, p  = 0.001). Patients with a presenting pathology associated with cerebrovascular disease were significantly more likely to initiate CC (62.1% vs. 35.3, p  = 0.04). Patients who underwent emergent surgery were significantly more likely to enter CC compared with those who had elective surgery (80.0% vs. 42.7%, p  = 0.02). Only 10 of the 29 (34.5%) patients who initiated CC underwent a neurosurgical operation (p  = 0.002). Twenty of the 29 (69.0%) patients died within 0.8 ± 0.8 days after the initiation of CC measures. Conclusion CC measures were initiated in 6.8% of patients admitted to the neurosurgical service via the ED, with the majority of patients entering CC before an operation and presenting with a cerebrovascular pathology.
76352 Investigating the Association Between Intracerebral Hemorrhage (ICH) and Long-Term Encephalomalacia and Cortical Atrophy
ABSTRACT IMPACT: Investigating the relationship between ICH volume at presentation and cortical atrophy over time may help to explain the phenomenon of cognitive impairment after ICH. OBJECTIVES/GOALS: Non-traumatic intracerebral hemorrhage (ICH) is the most common type of hemorrhagic stroke. ICH causes both mechanical as well as oxidative injury leading to neurologic deterioration. However, the relationship between ICH volume and brain atrophy is not fully understood. To that end, we aimed to investigate this relationship. METHODS/STUDY POPULATION: A retrospective cohort of adult ICH patients over a 10-year study period were studied. Demographic data, ICH cause, location, laterality, and treatment, as well as other data, were collected. DICOM files of CT or MRI at presentation and all subsequent follow-up imaging up to 5-years post-ICH were obtained. Using a novel semi-automated image segmentation tool developed in MATLAB by our group, ICH volumes were segmented. Using T1w MRI data, ipsi- and contralateral brain volumes were segmented using NeuroQuant, a fully automated software for MRI volumetric processing, for both initial and follow-up MRIs. Ipsilateral and global cerebral volume changes over time were calculated using initial and follow-up MRI images. Spearman rank correlation between volume changes and ICH volumes were calculated for each patient. RESULTS/ANTICIPATED RESULTS: 75 spontaneous ICH patients with adequate imaging follow-up and both early and follow-up MRI comparisons were considered. Of these, 14 patients had MRIs adequate for segmentation by NeuroQuant. There was a positive correlation (R^2 = 0.72, p=0.03) between ABC/2, the traditional ICH volume measuring approach, and our semi-automatic segmentation tool, with ABC/2 tending to overestimate ICH volume. There was an average of -6.51% of total brain volume loss with respect to initial brain volume at follow-up. There was a negative correlation between ICH volume and both global (Spearman rank correlation coefficient (R)=-0.714, p=0.004)) and local atrophy (R=-0.785, p=0.0009), meaning that as ICH volume increases, there is greater brain volume loss. DISCUSSION/SIGNIFICANCE OF FINDINGS: Greater ICH volume is associated with greater brain volume loss both ipsilaterally, reflected as encephalomalacia, and globally. These findings are important as encephalomalacia can result in focal neurologic deficit and other neurological symptoms over time, while global brain atrophy is associated with dementia and cognitive decline.
Trends in interventional stroke device utilization during the COVID-19 pandemic
The collateral effect of the COVID-19 pandemic on interventional stroke care is not well described. We studied this effect by utilizing stroke device sales data as markers of interventional stroke case volume in the United States. Using a real-time healthcare device sales registry, this observational study examined trends in the sales of thrombectomy devices and cerebral aneurysm coiling from the same 945 reporting hospitals in the U.S. between January 22 and June 31, 2020, and for the same months in 2018 and 2019 to allow for comparison. We simultaneously reviewed daily reports of new COVID-19 cases. The strength of association between the cumulative incidence of COVID-19 and procedural device sales was measured using Spearman rank correlation coefficient (CC). Device sales decreased for thrombectomy (− 3.7%) and cerebral aneurysm coiling (− 8.5%) when comparing 2019–2020. In 2020, thrombectomy device sales were negatively associated with the cumulative incidence of COVID-19 (CC − 0.56, p < 0.0001), with stronger negative correlation during April (CC − 0.97, p < 0.0001). The same negative correlation was observed with aneurysm treatment devices (CC − 0.60, p < 0.001), with stronger correlation in April (CC − 0.97, p < 0.0001). The decline in sales of stroke interventional equipment underscores a decline in associated case volumes. Future pandemic responses should consider strategies to mitigate such negative collateral effects. •Interventional stroke device sales were lower in 2020 compared to 2019.•Device sales were negatively correlated with COVID-19 incidence.•The decline of device sales underscores a decline in associated case volumes.
The MedConnect Program: Symptomatology, Return Visits, and Hospitalization of COVID-19 Outpatients Following Discharge From the Emergency Department
Background and objectiveAlthough hospitalization is required for only a minority of those infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the high rates of morbidity and mortality among these patients have led researchers to focus on the predictors of admission and adverse outcomes in the inpatient population. However, there is scarce data on the clinical trajectory of individuals symptomatic enough to present for emergency care, but not sick enough to be admitted. In light of this, we aimed to examine the symptomatology, emergency department (ED) revisits, and hospitalization of coronavirus disease 2019 (COVID-19) outpatients after discharge from the ED.MethodsAdult patients with COVID-19 infection were prospectively enrolled after discharge from the ED between May and December 2020. Patients were followed up longitudinally for 14 days via phone interviews designed to provide support and information and to track symptomatology, ED revisits, and hospitalization.ResultsA volunteer, medical student-run program enrolled 199 COVID-19 patients discharged from the ED during the first nine months of the pandemic. Of the 176 patients (88.4%) who completed the 14-day protocol, 29 (16.5%) had a second ED visit and 17 (9.6%) were admitted, 16 (9%) for worsening COVID-19 symptoms. Age, male sex, comorbid illnesses, and self-reported dyspnea, diarrhea, chills, and fever were associated with hospital admission for patients with a subsequent ED visit. For those who did not require admission, symptoms generally improved following ED discharge. Age >65 years and a history of cardiovascular disease (CVD) were associated with a longer duration of cough, but generally, patient characteristics and comorbidities did not significantly affect the overall number or duration of symptoms.ConclusionsNearly one in five patients discharged from the ED with COVID-19 infection had a second ED evaluation during a 14-day follow-up period, despite regular phone interactions aimed at providing support and information. More than half of them required admission for worsening COVID-19 symptoms. Established risk factors for severe disease and self-reported persistence of certain symptoms were associated with hospital admission, while those who did not require hospitalization had a steady improvement in symptoms over the 14-day period.
Evaluating the role of methicillin-resistant Staphylococcus aureus (MRSA)-specific antibiotic prophylaxis for neurosurgical patients
•Methicillin-resistant staph aureus (MRSA)-colonized neurosurgical patients have a higher surgical site infection rate.•Broad use of MRSA-specific antibiotics raises surgical site infection risk.•The benefit of MRSA-specific antibiotics in MRSA-colonized patients requires further investigation. Surgical site infection (SSI) in neurosurgical patients increases morbidity. Despite the rise of methicillin-resistant Staphylococcus aureus (MRSA) colonization, there is little consensus regarding antibiotic prophylaxis for SSI in MRSA-colonized neurosurgical patients. Our objective was to examine the incidence of SSI in MRSA-colonized neurosurgical patients and interrogate whether MRSA-specific antibiotic prophylaxis reduces SSIs. We performed a retrospective analysis of adult patients undergoing neurosurgical procedures between 2013 and 2018. The primary outcome was SSI in patients with MRSA colonization receiving MRSA-specific antibiotics. Secondary outcomes included predictors of SSI, including whether broad use of MRSA-specific antibiotics affects SSI rate. Of 9739 procedures, 376 had SSI (3.9 %). Seven hundred forty-four procedures (7.6 %) were performed on patients screened preoperatively for MRSA, including 54 procedures on MRSA-colonized patients. MRSA-colonized patients were more likely than MRSA-non-colonized patients to receive MRSA-specific antibiotics (35.2 % vs. 17.8 %, p = 0.002) for prophylaxis. Nevertheless, MRSA-colonized patients had higher SSI rates compared to MRSA-non-colonized patients (22.2 % vs. 6.4 %, p = 0.00002). MRSA-colonization led to 3.49 greater odds (95 % CI 1.52–7.65, p = 0.002) of SSI relative to MRSA-non-colonization. MRSA-colonized patients receiving MRSA-specific antibiotics, compared to those receiving non-MRSA-specific antibiotics, had lower SSI rates, but this difference was not statistically significant (15.8 % vs. 25.7 %, p = 0.40). In the non-screened population, those receiving MRSA-specific antibiotics, compared to those receiving non-MRSA-specific antibiotics, had significantly higher SSI rates (6.9 % vs. 3.0 %, p = 0.00001). The use of MRSA-specific antibiotic prophylaxis in the non-screened population increased the odds of SSI (OR 1.90, 95 % CI 1.45−2.46, p = 0.0001). MRSA-colonized neurosurgical patients had a higher SSI rate compared to MRSA-non-colonized patients. While MRSA-specific antibiotics may benefit those with MRSA colonization, the difference in SSI rate between MRSA-colonized patients receiving MRSA-specific antibiotics vs. non-specific antibiotics requires further investigation. The broader use of MRSA-specific antibiotics may paradoxically confer an increased risk of SSI in a non-screened neurosurgical population.