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UC San Francisco Previously Published Works

Volumetric hyperthermia delivery using the ExAblate Body MR-guided focused ultrasound system

(2024)

Objectives

To investigate image-guided volumetric hyperthermia strategies using the ExAblate Body MR-guided focused ultrasound ablation system, involving mechanical transducer movement and sector-vortex beamforming.

Materials and methods

Acoustic and thermal simulations were performed to investigate volumetric hyperthermia using mechanical transducer movement combined with sector-vortex beamforming, specifically for the ExAblate Body transducer. The system control in the ExAblate Body system was modified to achieve fast transducer movement and MR thermometry-based hyperthermia control, mechanical transducer movements and electronic sector-vortex beamforming were combined to optimize hyperthermia delivery. The experimental validation was performed using a tissue-mimicking phantom.

Results

The developed simulation framework allowed for a parametric study with varying numbers of heating spots, sonication durations, and transducer movement times to evaluate the hyperthermia characteristics for mechanical transducer movement and sector-vortex beamforming. Hyperthermic patterns involving 2-4 sequential focal spots were analyzed. To demonstrate the feasibility of volumetric hyperthermia in the system, a tissue-mimicking phantom was sonicated with two distinct spots through mechanical transducer movement and sector-vortex beamforming. During hyperthermia, the average values of Tmax, T10, Tavg, T90, and Tmin over 200 s were measured within a circular ROI with a diameter of 10 pixels. These values were found to be 8.6, 7.9, 6.6, 5.2, and 4.5 °C, respectively, compared to the baseline temperature.

Conclusions

This study demonstrated the volumetric hyperthermia capabilities of the ExAblate Body system. The simulation framework developed in this study allowed for the evaluation of hyperthermia characteristics that could be implemented with the ExAblate MRgFUS system.

Cover page of Adaptation of a health literacy screener for computerized, self-administered use by U.S. adults.

Adaptation of a health literacy screener for computerized, self-administered use by U.S. adults.

(2024)

OBJECTIVE: Health literacy is a critical health determinant, for which few computerized, self-administered assessments exist. This study adapted and tested the reliability of the Newest Vital Sign© (NVS) as a computerized, self-administered health literacy screener. METHODS: Phase one involved 33 participants to create response options for a computerized, self-administered NVS (C-NVS). Phase two was a randomized crossover trial to test the consistency of C-NVS and original, interviewer-administered NVS (I-NVS) scores in 89 participants. RESULTS: Linear mixed-effects regression model results showed a significant carryover effect (p < .001). Crossover trial data from time 1 showed that participants who initially received the C-NVS had significantly higher average scores (M = 5.7, SD = 0.6) than participants who received the I-NVS (M = 4.5, SD = 1.5; t(87) = 5.25, p < .001). Exploratory analysis results showed that when the washout period was longer than 33 days (75th percentile) the carryover effect was not statistically significant (p = .077). CONCLUSION AND INNOVATION: Findings suggest learning can occur when health literacy screeners are administered more than once in less than a months time and computerized, self-administered health literacy screeners may produce ceiling effects. A universal precautions approach to health literacy therefore remains germane.

Cover page of Feasibility and acceptability of chaplain decision coaching on Periviable resuscitation decision quality: A pilot study.

Feasibility and acceptability of chaplain decision coaching on Periviable resuscitation decision quality: A pilot study.

(2024)

OBJECTIVE: To pilot test and assess the feasibility and acceptability of chaplain-led decision coaching alongside the GOALS (Getting Optimal Alignment around Life Support) decision support tool to enhance decision-making in threatened periviable delivery. METHODS: Pregnant people admitted for threatened periviable delivery and their important other (IO) were enrolled. Decisional conflict, acceptability, and knowledge were measured before and after the intervention. Chaplains journaled their impressions of training and coaching encounters. Descriptive analysis and conventional content analysis were completed. RESULTS: Eight pregnant people and two IOs participated. Decisional conflict decreased by a mean of 6.7 (SD = 9.4) and knowledge increased by a mean of 1.4 (SD = 1.8). All rated their experience as good or excellent, and the amount of information was just right. Participants found it helpful to have someone to talk to and noted chaplains helped them reach a decision. Chaplains found the intervention a valuable use of their time and skillset. CONCLUSION: This is the first small-scale pilot study to utilize chaplains as decision coaches. Our results suggest that chaplain coaching with a decision support tool is feasible and well-accepted by parents and chaplains. INNOVATIONS: Our findings recognize chaplains as an underutilized, yet practical resource in value-laden clinical decision-making.

Cover page of Mobile-enhanced Family Integrated Care for preterm infants: A qualitative study of parents views.

Mobile-enhanced Family Integrated Care for preterm infants: A qualitative study of parents views.

(2024)

OBJECTIVE: The Family Integrated Care (FICare) model improves outcomes for preterm infants and parents compared with family-centered care (FCC). FICare with mobile technology (mFICare) may improve uptake and impact. Research on FICare in the United States (US) is scarce and little is known about parents experience. METHODS: We conducted qualitative interviews with nine parents, exploring their NICU experiences, participation in and perceptions of the mFICare program. A directed content analysis approach was used, and common themes were derived from the data. RESULTS: Overall, parents had positive NICU experiences and found mFICare helpful in meeting three common parenting priorities: actively caring for their infant, learning how to care for their infant, and learning about the clinical status of their infant. They described alignment and misalignment with mFICare components relative to their personal parenting priorities and offered suggestions for improvement. Nurses were noted to play key roles in providing or facilitating parent support and encouragement to participate in mFICare and parenting activities. CONCLUSION: The mFICare program showed potential for parental acceptance and participation in US NICUs. INNOVATION: The mFICare model is an innovation in neonatal care that can advance the consistent delivery of NICU family-centered care planning and caregiving.Clinical Trial Registration:NCT03418870 01/02/2018.

Cover page of Fecal microbiota is associated with extraintestinal manifestations in inflammatory bowel disease.

Fecal microbiota is associated with extraintestinal manifestations in inflammatory bowel disease.

(2024)

INTRODUCTION: A large proportion of patients with inflammatory bowel disease (IBD) experience IBD-related inflammatory conditions outside of the gastrointestinal tract, termed extraintestinal manifestations (EIMs) which further decreases quality of life and, in extreme cases, can be life threatening. The pathogenesis of EIMs remains unknown, and although gut microbiota alterations are a well-known characteristic of patients with IBD, its relationship with EIMs remains sparsely investigated. This study aimed to compare the gut microbiota of patients with IBD with and without EIMs. METHODS: A total of 131 Danish patients with IBD were included in the study, of whom 86 had a history of EIMs (IBD-EIM) and 45 did not (IBD-C). Stool samples underwent 16S rRNA sequencing. Amplicon sequence variants (ASVs) were mapped to the Silva database. Diversity indices and distance matrices were compared between IBD-EIM and IBD-C. Differentially abundant ASVs were identified using a custom multiple model statistical analysis approach, and modules of co-associated bacteria were identified using sparse correlations for compositional data (SparCC) and related to patient EIM status. RESULTS: Patients with IBD and EIMs exhibited increased disease activity, body mass index, increased fecal calprotectin levels and circulating monocytes and neutrophils. Microbiologically, IBD-EIM exhibited lower fecal microbial diversity than IBD-C (Mann-Whitneys test, p = .01) and distinct fecal microbiota composition (permutational multivariate analysis of variance; weighted UniFrac, R2 = 0.018, p = .01). A total of 26 ASVs exhibited differential relative abundances between IBD-EIM and IBD-C, including decreased Agathobacter and Blautia and increased Eggerthella lenta in the IBD-EIM group. SparCC analysis identified 27 bacterial co-association modules, three of which were negatively related to EIM (logistic regression, p < .05) and included important health-associated bacteria, such as Agathobacter and Faecalibacterium. CONCLUSIONS: The fecal microbiota in IBD patients with EIMs is distinct from that in IBD patients without EIM and could be important for EIM pathogenesis.

Cover page of A family-centered approach to social needs awareness in the pediatric emergency department.

A family-centered approach to social needs awareness in the pediatric emergency department.

(2024)

OBJECTIVE: We aimed to understand family preferences around reporting and receiving health-related social needs (HRSN) information by assessment modality during pediatric emergency department (PED) visits. METHODS: Families were randomized into paper (control), cell phone, or tablet modality groups by their childs exam room. Nurses alerted families to complete a single HRSN assessment during routine workflow. We used logistic regression and McNemars test to assess discordance in modality preference. RESULTS: Forty-seven percent of families disclosed at least one HRSN across a total 611 assessments. Disclosure of HRSN was similar by modality. Twenty-three percent of those assigned tablet preferred cell phone (p < 0.001). Two-thirds of families preferred receiving digitally formatted community resources (email or text). There was no difference in preferred timing of HRSN assessment completion. CONCLUSIONS: Assessment modality did not appear to influence family HRSN disclosure. Families were generally satisfied with all HRSN assessment modalities but demonstrated a particular preference in using personal cell phones over tablets. Digitally formatted community referrals also pose numerous advantages over conventional paper handouts. INNOVATION: Use of personal cell phones is a novel, streamlined method of HRSN interventions in the clinical setting, performing similar to more conventional modalities, with a preference among families when compared to tablets.

Cover page of Variations in Electronic Health Record-Based Definitions of Diabetic Retinopathy Cohorts A Literature Review and Quantitative Analysis

Variations in Electronic Health Record-Based Definitions of Diabetic Retinopathy Cohorts A Literature Review and Quantitative Analysis

(2024)

Purpose

Use of the electronic health record (EHR) has motivated the need for data standardization. A gap in knowledge exists regarding variations in existing terminologies for defining diabetic retinopathy (DR) cohorts. This study aimed to review the literature and analyze variations regarding codified definitions of DR.

Design

Literature review and quantitative analysis.

Subjects

Published manuscripts.

Methods

Four graders reviewed PubMed and Google Scholar for peer-reviewed studies. Studies were included if they used codified definitions of DR (e.g., billing codes). Data elements such as author names, publication year, purpose, data set type, and DR definitions were manually extracted. Each study was reviewed by ≥ 2 authors to validate inclusion eligibility. Quantitative analyses of the codified definitions were then performed to characterize the variation between DR cohort definitions.

Main outcome measures

Number of studies included and numeric counts of billing codes used to define codified cohorts.

Results

In total, 43 studies met the inclusion criteria. Half of the included studies used datasets based on structured EHR data (i.e., data registries, institutional EHR review), and half used claims data. All but 1 of the studies used billing codes such as the International Classification of Diseases 9th or 10th edition (ICD-9 or ICD-10), either alone or in addition to another terminology for defining disease. Of the 27 included studies that used ICD-9 and the 20 studies that used ICD-10 codes, the most common codes used pertained to the full spectrum of DR severity. Diabetic retinopathy complications (e.g., vitreous hemorrhage) were also used to define some DR cohorts.

Conclusions

Substantial variations exist among codified definitions for DR cohorts within retrospective studies. Variable definitions may limit generalizability and reproducibility of retrospective studies. More work is needed to standardize disease cohorts.

Financial disclosures

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Cover page of Life-Threatening MOG Antibody-Associated Hemorrhagic ADEM With Elevated CSF IL-6.

Life-Threatening MOG Antibody-Associated Hemorrhagic ADEM With Elevated CSF IL-6.

(2024)

Acute disseminated encephalomyelitis (ADEM) is one characteristic manifestation of myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). A previously healthy man presented with retro-orbital headache and urinary retention 14 days after Tdap vaccination. Brain and spine MRI suggested a CNS demyelinating process. Despite treatment with IV steroids, he deteriorated, manifesting hemiparesis and later impaired consciousness, requiring intubation. A repeat brain MRI demonstrated new bilateral supratentorial lesions associated with venous sinus thrombosis, hemorrhage, and midline shift. Anti-MOG antibody was present at a high titer. CSF IL-6 protein was >2,000 times above the upper limits of normal. He improved after plasma exchange, then began monthly treatment alone with anti-IL-6 receptor antibody, tocilizumab, and has remained stable. This case highlights how adult-onset MOGAD, like childhood ADEM, can rapidly become life-threatening. The markedly elevated CSF IL-6 observed here supports consideration for evaluating CSF cytokines more broadly in patients with acute MOGAD.

Machine learning-based automated scan prescription of lumbar spine MRI acquisitions

(2024)

Purpose

High quality scan prescription that optimally covers the area of interest with scan planes aligned to relevant anatomical structures is crucial for error-free radiologic interpretation. The goal of this project was to develop a machine learning pipeline for oblique scan prescription that could be trained on localizer images and metadata from previously acquired MR exams.

Methods

A novel Multislice Rotational Region-based Convolutional Neural Network (MS-R2CNN) architecture was developed. Based on this architecture, models for automated prescription sagittal lumbar spine acquisitions from axial, sagittal, and coronal localizer slices were trained. The automated prescription pipeline was integrated with the scanner console software and evaluated in experiments with healthy volunteers (N = 3) and patients with lower-back pain (N = 20).

Results

Experiments in healthy volunteers demonstrated high accuracy of automated prescription in all subjects. There was good agreement between alignment and coverage of manual and automated prescriptions, as well as consistent views of the lumbar spine at different positions of the subjects within the scanner bore. In patients with lower-back pain, the generated prescription was applied in 18 cases (90% of the total number). None of the cases required major adjustment, while in 11 cases (55%) there were minor manual adjustments to the generated prescription.

Conclusions

This study demonstrates the ability of oriented object detection-based models to be trained to prescribe oblique lumbar spine MRI acquisitions without the need of manual annotation or feature engineering and the feasibility of using machine learning-based pipelines on the scanner for automated prescription of MRI acquisitions.