Publications by authors named "Anna Choi"

Introduction: Symptom burden associated with interference in daily functioning is worse in those with progression or higher-grade glial tumors. This exploratory study aims to identify factors associated with its severity in a diverse cross-sectional cohort of 566 brain tumor patients enrolled in a natural history study (NCT03251989, PI: T.S.

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Introduction: Sleep disturbance (SD) and sleep-related impairment (SRI) significantly impact the lives of primary brain tumor (PBT) patients. We aimed to describe the prevalence of SD and SRI in this population, determine the reliability of the PROMIS-SD and PROMIS-SRI instruments, and identify predictive factors to support the development of targeted interventions for at-risk individuals.

Methods: This cross-sectional study evaluated SD and SRI in PBT patients enrolled in a Natural History Study who completed 1-year follow-up questionnaires (N = 229).

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Background: This study explored differences in patient-reported outcomes (PROs) for patients with central nervous system (CNS) tumors during COVID, compared to pre-pandemic assessments, in light of impacted access to in-person care.

Methods: Patient-reported outcomes (PROMIS-Anxiety and Depression Short-Forms, EQ-5D-3L, MDASI-BT/Spine, NeuroQoL-Perceived Cognitive Functioning) were collected from 149 participants on the Neuro-Oncology Branch Natural History Study seen during the first year of COVID between March 2020 and February 2021, which were compared to assessments collected pre-COVID. Paired sample -tests and proportion tests (-tests) were used to compare PROs with effect sizes reported using Hedges and Cohen's .

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Introduction: Post-endoscopic retrograde cholangiopancreatography pancreatitis (PEP) is the most common serious adverse event after endoscopic retrograde cholangiopancreatography (ERCP). Although retrospective models to predict PEP have shown promise, their real-world applicability remains uncertain. Thus, we used prospectively derived cohort data to validate current prediction models.

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Article Synopsis
  • Sleep-wake disturbances are prevalent among primary brain tumor patients, and this study explores the relationship between patient-reported outcomes (PROs) and data from smart wearables like Fitbits over a 4-week period.
  • Fifty-four patients participated, wearing Fitbits to track their sleep patterns and completing various PROs at the start and end of the study, showing high compliance and reliability in the data collected.
  • Results indicated that while some patients experienced significant improvements in sleep disturbance, a notable correlation was found between wake after sleep onset and sleep disturbance, highlighting a need for further research into sleep mechanics in this patient population.
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Objective: To evaluate the performance of commercial automatic speech recognition (ASR) systems on d/Deaf and hard-of-hearing (d/Dhh) speech.

Methods: A corpus containing 850 audio files of d/Dhh and normal hearing (NH) speech from the University of Memphis Speech Perception Assessment Laboratory was tested on four speech-to-text application program interfaces (APIs): Amazon Web Services, Microsoft Azure, Google Chirp, and OpenAI Whisper. We quantified the Word Error Rate (WER) of API transcriptions for 24 d/Dhh and nine NH participants and performed subgroup analysis by speech intelligibility classification (SIC), hearing loss (HL) onset, and primary communication mode.

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  • * A web-based study involving 158 adult patients revealed that low self-efficacy levels were linked to longer symptom durations before surgery and were influenced by factors such as gender and education.
  • * The study found that individuals with lower self-efficacy experienced more severe mood-related issues, highlighting the need for tailored interventions to improve self-efficacy in cancer care.
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The global challenges posed by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic have underscored the critical importance of innovative and efficient control systems for addressing future pandemics. The most effective way to control the pandemic is to rapidly suppress the spread of the virus through early detection using a rapid, accurate, and easy-to-use diagnostic platform. In biosensors that use bioprobes, the binding affinity of molecular recognition elements (MREs) is the primary factor determining the dynamic range of the sensing platform.

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SARS-CoV-2, the virus responsible for the COVID-19 pandemic, has spurred the urgent need for practical diagnostics with high sensitivity and selectivity. Although advanced diagnostic tools have emerged to efficiently control pandemics, they still have costly limitations owing to their reliance on antibodies or enzymes and require high-tech equipment. Therefore, there is still a need to develop rapid and low-cost diagnostics with high sensitivity and selectivity.

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Background: Glioblastoma (GBM) is the most aggressive primary brain malignancy with <45% living a year beyond diagnosis. Previously published investigations of long-term survivors (LTS) provided clinical data but rarely incorporated a comprehensive clinical and molecular analysis. Herein, we identify clinical, imaging, molecular, and outcome features for 23 GBM-LTS patients and compare them with a matched cohort of short-term survivors (STS).

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Introduction: Pancreatic cancer cells generally accumulate large numbers of lipid droplets (LDs), which regulate lipid storage. To promote rapid diagnosis, an automatic pancreatic cancer cell recognition system based on a deep convolutional neural network was proposed in this study using quantitative images of LDs from stain-free cytologic samples by optical diffraction tomography.

Methods: We retrieved 3D refractive index tomograms and reconstructed 37 optical images of one cell.

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Spindle cell tumors exhibit a relatively low occurrence rate and can manifest in various locations within the human body, including soft tissues and bones. The process of making a diagnosis is supported by conducting pathological and immunohistochemical tests. A 50-year-old female patient visited the hospital with abdominal pain that lasted about a week.

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While many studies have found an association between childhood emotional abuse and alcohol use disorders (AUD) during adulthood, underlying psychological mechanisms linking the two remain inadequately understood. Drawing on the developmental psychopathology perspective, this study examined the relationship between childhood emotional abuse and AUD during adulthood with a national sample of women in Nepal ( = 1,100, age = 37.73), focusing on the mediating role of borderline personality traits.

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Objectives: To study the impact of a financial education program on financial well-being among college students.

Participants: 162 students at a university.

Methods: We designed a digital educational intervention to improve money management practices and financial well-being among college students, where we delivered weekly nudges for three months via mobile phone and email to review and complete activities from the online platform CashCourse.

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COVID-19, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused an ongoing global pandemic with economic and social disruption. Moreover, the virus has persistently and rapidly evolved into novel lineages with mutations. The most effective strategy to control the pandemic is suppressing virus spread through early detection of infections.

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Purpose: Cancer patients experience distress and anxiety when undergoing imaging studies to monitor disease status, yet these symptoms are not always appropriately identified or well-managed. This interim analysis of a phase 2 clinical trial explored feasibility and acceptability of a virtual reality relaxation (VR) intervention for primary brain tumor (PBT) patients at the time of clinical evaluation.

Methods: English speaking, adult PBT patients with previous reports of distress and upcoming neuroimaging were recruited between March of 2021 and March 2022.

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Article Synopsis
  • Precision health strategies are essential for managing symptom burden in primary brain tumor patients, addressing the complex and diverse nature of their symptoms.
  • The study used network analysis and unsupervised clustering on data from 1,128 patients to uncover symptoms' interconnections, revealing four key dimensions of symptom burden: cognitive, physical, focal neurologic, and affective.
  • The results indicated four patient subgroups, with notable distinctions in their symptom patterns and severities, potentially guiding the development of personalized symptom management approaches in the future.
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  • Cancer patients often face anxiety during imaging studies, leading to the need for effective management of their distress.
  • A phase 2 clinical trial tested a virtual reality relaxation (VR) intervention for primary brain tumor patients, assessing its feasibility and acceptability before neuroimaging.
  • Out of 55 approached, 20 patients enrolled, with high satisfaction reported (90%) and minimal adverse effects, indicating the potential of VR as a supportive tool for managing psychological symptoms in this population.
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  • Financial toxicity, especially linked to unemployment, has a significant impact on cancer survivors, prompting an evaluation of how it relates to patient-reported outcomes (PROs) in individuals with primary CNS tumors (PCNST).
  • The study, conducted between September 2016 and December 2019 with 277 participants, revealed that Hispanic individuals faced higher unemployment rates and reported greater functional impairments and reduced health-related quality of life (HRQOL) than employed counterparts.
  • Unemployed participants exhibited notably higher levels of depressive (25% vs. 8%) and anxiety symptoms (30% vs. 15%), highlighting the mental health challenges associated with unemployment in this patient group.
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  • Astroblastoma, -altered is a new classification of rare CNS tumors added by the WHO in 2021, characterized by unique DNA methylation patterns and specific genetic fusions but has variable histological features.
  • These tumors are most frequently found in children, especially females, and their clinical outcomes vary widely, with some patients facing multiple recurrences despite aggressive treatment while others do well after surgery alone.
  • The report details the cases of three female adults with these tumors, highlights the need for better clinical data collection, and suggests a standardized method for gathering neuropathological and patient-reported outcomes to enhance understanding of the tumor's clinical diversity.
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  • * Patients with sleep disturbances also experienced a higher overall symptom burden, including significantly more depressive and anxiety symptoms, as well as increased feelings of drowsiness and distress.
  • * The findings suggest that addressing sleep disturbances in PBT patients could improve their overall symptom experience and quality of life, highlighting the need for future research on sleep patterns and potential interventions.
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  • The study focused on the importance of clinical outcomes assessments (COAs) for patients with malignant glioma, specifically looking at symptoms and functions recommended by the RANO-PRO Working Group.
  • Using a cohort of 336 patients from a larger study, researchers analyzed how symptoms like pain and cognitive issues and functions like weakness and ability to work relate to disease progression over time.
  • Findings suggest that these COAs are relevant indicators of disease status and may change as the disease progresses, providing vital information for both clinical care and research.
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  • Cognitive impairments are common in patients with primary CNS tumors, and traditional neuropsychological assessments are often too lengthy for routine use, prompting the study of the brief Montreal Cognitive Assessment (MoCA) during in-person and telehealth visits.
  • The study involved 71 adults with CNS tumors who took the MoCA, revealing an average score of 25 in-person and 26 via telehealth, with a notable percentage scoring abnormally; satisfaction surveys indicated healthcare providers found the MoCA useful in both settings.
  • Findings demonstrated a correlation between lower MoCA scores and worse symptoms, emphasizing the importance of incorporating both objective cognitive measures and patient-reported outcomes for a comprehensive understanding of patient cognition in neuro-oncology care.
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Introduction: Despite an increasing aging population, older adults (≥ 65 years) with primary brain tumors (PBTs) are not routinely assessed for geriatric vulnerabilities. Recent reports of geriatric assessment (GA) in patients with glioblastomas demonstrated that GA may serve as a sensitive prognosticator of overall survival. Yet, current practice does not include routine evaluation of geriatric vulnerabilities and the relevance of GA has not been previously evaluated in broader cohorts of PBT patients.

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This paper estimates differences in walking and associations of walking with neighborhood perceptions among older adults in California. We analyzed the restricted-use California Health Interview Survey data merged with the American Community Survey data. Walking at least 10 minutes for leisure in the last 7 days and number of minutes walked were regressed on perceived neighborhood social cohesion scale (PNSCS) and neighborhood socioeconomic characteristics.

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