Quantitative imaging workshop XIX: Utilizing quantitative thoracic imaging to optimize population health final summary.

Lung cancer screening involves the use of thoracic CT for both detection and measurements of suspicious lung nodules to guide the screening management. Since lung cancer screening eligibility typically requires age over 50 years along with >20 pack-year tobacco exposure, thoracic CT scans also frequently reveal evidence for pulmonary emphysema as well as coronary artery calcification. These three thoracic diseases are collectively three of the leading causes of premature death across the world. Screening for the major thoracic diseases in this heavily tobacco-exposed cohort is broadening the focus of lung cancer screening to a more comprehensive health evaluation including discussing the relevance of screen-detected findings of the heart and lung parenchyma. The status and implications of these emerging issues were reviewed in a multidisciplinary workshop focused on the process of quantitative imaging in the lung cancer screening setting to guide the evolution of this important new area of public health.

Psychophysiology during exposure to trauma memories: Comparative effects of virtual reality and imaginal exposure for posttraumatic stress disorder.

BACKGROUND: This investigation involved an in-depth examination of psychophysiological responses during exposure to the trauma memory across 10 sessions among active duty soldiers with combat-related posttraumatic stress disorder (PTSD) treated by Prolonged Exposure (PE) or Virtual Reality Exposure (VRE). We compared psychophysiological changes, session-by-session, between VRE and traditional imaginal exposure. METHODS: Heart rate (HR), galvanic skin response (GSR), and peripheral skin temperature were collected every 5 min during exposure sessions with 61 combat veterans of Iraq/Afghanistan and compared to the PTSD Checklist (PCL-C) and Clinician-Administered PTSD Scale (CAPS) outcomes using multilevel modeling. RESULTS: Over the course of treatment, participants in the PE group had higher HR arousal compared to participants in the VRE group. With reference to GSR, in earlier sessions, participants demonstrated a within-session increase, whereas, in later sessions, participants showed a within-session habituation response. A significant interaction was found for GSR and treatment assignment for within-session change, within-person effect, predicting CAPS (d = 0.70) and PCL-C (d = 0.66) outcomes. CONCLUSION: Overall, these findings suggest that exposure to traumatic memories activates arousal across sessions, with GSR being most associated with reductions in PTSD symptoms for participants in the PE group.

Predictors of involuntary and voluntary emotional episodic memories of virtual reality scenarios in Veterans with and without PTSD.

This study investigated predictors of involuntary and voluntary memories of stressful virtual reality scenarios. Thirty-two veterans of the two Persian Gulf Wars completed verbal memory tests and diagnostic assessments. They were randomly assigned to a Recounting (16) or a Suppression (16) condition. After immersion in the VR scenarios, the Recounting group described the scenarios and the Suppression group suppressed thoughts of the scenarios. One week later, participants completed surprise voluntary memory tests and another thought suppression task. The best predictors of voluntary memory were verbal memory ability, dissociation, and to a lesser extent, physiological arousal before and after scenarios. Dissociation and physiological stress responses selectively affected memory for neutral elements. Higher distress during scenarios impaired voluntary memory but increased the frequency of involuntary memories. Physiological stress responses promoted more frequent involuntary memories immediately after the scenarios. More frequent initial involuntary memories, tonic physiological arousal, and stronger emotional responses to dangerous events predicted difficulty inhibiting involuntary memories at follow-up. The effects of thought suppression were transient and weaker than those of other variables. The findings suggest that posttraumatic amnesia and involuntary memories of adverse events are more related to memory ability and emotional and physiological stress responses than to post-exposure suppression.

Sleep as a Target for Optimized Response to Smoking Cessation Treatment.

Declining national rates of current tobacco use to an all-time low of 15.1% represents a public health victory. Undermining this progress, however, are smoking rates of up to 50% among high-risk, low-income populations. Current FDA-approved treatments for nicotine dependence are ineffective with between 70-95% of treatment-seekers relapsing within the first year of attempted abstinence. Thus, identification of novel intervention targets to optimize response to currently available treatments for nicotine dependence is a critical next step. One such target may be sleep insomnia. Insomnia is a clinically verified nicotine withdrawal symptom but, to date, addressing insomnia or other sleep disturbance symptoms as an adjunctive smoking cessation therapy has yet to be fully considered. To this end, this manuscript presents a narrative review of: (1) sleep continuity and architecture in smokers versus nonsmokers; (2) effects of nicotine abstinence on sleep; (3) possible mechanisms linking sleep with smoking cessation outcomes; (4) plausible adjunctive sleep therapies to promote smoking cessation; (5) possible treatments for unhealthy sleep in smokers; and (6) directions for future research. Taken together, this will provide conceptual support for sleep therapy as an adjunctive treatment for smoking cessation. Implications: This narrative literature review presents a comprehensive discussion of the relationship between habitual sleep and cigarette smoking. The extent to which unhealthy sleep in smokers may be a viable intervention target for promoting response to smoking cessation treatment is considered. Ultimately, this review provides conceptual support for sleep therapy as an adjunctive treatment for smoking cessation.

Considering patient safety in autonomous e-mental health systems - detecting risk situations and referring patients back to human care.

BACKGROUND: Digital health interventions can fill gaps in mental healthcare provision. However, autonomous e-mental health (AEMH) systems also present challenges for effective risk management. To balance autonomy and safety, AEMH systems need to detect risk situations and act on these appropriately. One option is sending automatic alerts to carers, but such 'auto-referral' could lead to missed cases or false alerts. Requiring users to actively self-refer offers an alternative, but this can also be risky as it relies on their motivation to do so. This study set out with two objectives. Firstly, to develop guidelines for risk detection and auto-referral systems. Secondly, to understand how persuasive techniques, mediated by a virtual agent, can facilitate self-referral. METHODS: In a formative phase, interviews with experts, alongside a literature review, were used to develop a risk detection protocol. Two referral protocols were developed - one involving auto-referral, the other motivating users to self-refer. This latter was tested via crowd-sourcing (n = 160). Participants were asked to imagine they had sleeping problems with differing severity and user stance on seeking help. They then chatted with a virtual agent, who either directly facilitated referral, tried to persuade the user, or accepted that they did not want help. After the conversation, participants rated their intention to self-refer, to chat with the agent again, and their feeling of being heard by the agent. RESULTS: Whether the virtual agent facilitated, persuaded or accepted, influenced all of these measures. Users who were initially negative or doubtful about self-referral could be persuaded. For users who were initially positive about seeking human care, this persuasion did not affect their intentions, indicating that a simply facilitating referral without persuasion was sufficient. CONCLUSION: This paper presents a protocol that elucidates the steps and decisions involved in risk detection, something that is relevant for all types of AEMH systems. In the case of self-referral, our study shows that a virtual agent can increase users' intention to self-refer. Moreover, the strategy of the agent influenced the intentions of the user afterwards. This highlights the importance of a personalised approach to promote the user's access to appropriate care.

Does Virtual Reality Increase Simulator Sickness During Exposure Therapy for Post-Traumatic Stress Disorder?

Purpose: Measurement of simulator-related side effects (SSEs) is an integral component of competent and ethical use of virtual reality exposure (VRE), but common SSEs may overlap with symptoms of anxiety. Limited research exists about the frequency of SSEs during VRE treatment for post-traumatic stress disorder (PTSD) and no research compares self-reported SSEs for those undergoing VRE with those participating in exposure therapy without virtual reality. This study compared the SSEs of active duty soldiers with PTSD randomly assigned to exposure therapy through traditional prolonged exposure or VRE.Methodology: A total of 108 soldiers participated in up to 10 sessions of exposure therapy. Of those, 93 provided data on simulator sickness both before and after initiation of imaginal exposure. Approximately half (n = 49) used the Virtual Iraq/Afghanistan system to support engagement with their trauma memory. Soldiers completed a 4-item, self-reported measure of SSE after each session.Results: Controlling for age, gender, baseline anxiety symptoms, and SSE symptom counts at the first two sessions of therapy (before initiating imaginal exposure), there was no statistically significant difference between the treatment groups in SSEs at the beginning of imaginal exposure or over the course of treatment.Conclusions: This finding suggests that caution should be exercised in the interpretation of SSE measurements during the use of VRE for PTSD. Virtual reality did not account for any increase in self-reported SSE. It is possible that anxiety accounts for a meaningful proportion of SSE reports during VRE.

Virtual reality exposure versus prolonged exposure for PTSD: Which treatment for whom?

BACKGROUND: The majority of studies comparing active psychological treatments for posttraumatic stress disorder (PTSD) do not find significant differences at posttreatment. This was the case in a recent trial examining prolonged exposure (PE) and virtual reality exposure (VRE) among active-duty soldiers with combat-related PTSD. Matching individual patients to specific treatments provides a potential avenue to improve significantly the public health impact of effective treatments for PTSD. A composite moderator approach was used to identify profiles of patients who would see superior PTSD symptom reduction in VRE or PE to inform future treatment matching. METHODS: Active duty U.S. army soldiers (N = 108) were enrolled in a randomized clinical trial comparing VRE and PE in the treatment of PTSD stemming from deployments to Iraq or Afghanistan. Eighteen baseline variables were examined to identify treatment response heterogeneity in two patient groups: those with a superior response to PE and those with a superior response to VRE. The final composite moderator comprised four of 18 baseline variables. RESULTS: Results revealed that patients who were predicted to see greater PTSD symptom reduction in VRE were likely to be younger, not taking antidepressant medication, had greater PTSD hyperarousal symptoms, and were more likely to have greater than minimal suicide risk. CONCLUSIONS: Results suggest that treatment matching based on patient profiles could meaningfully improve treatment efficacy for combat-related PTSD. Future research can build on these results to improve our understanding of how to improve treatment matching for PTSD.

Camera-tracking gaming control device for evaluation of active wrist flexion and extension.

STUDY DESIGN: Cross sectional. INTRODUCTION: Measuring wrist range of motion (ROM) is an essential procedure in hand therapy clinics. PURPOSE OF THE STUDY: To test the reliability and validity of a dynamic ROM assessment, the Camera Wrist Tracker (CWT). METHODS: Wrist flexion and extension ROM of 15 patients with distal radius fractures and 15 matched controls were assessed with the CWT and with a universal goniometer. RESULTS: One-way model intraclass correlation coefficient analysis indicated high test-retest reliability for extension (ICC = 0.92) and moderate reliability for flexion (ICC = 0.49). Standard error for extension was 2.45° and for flexion was 4.07°. Repeated-measures analysis revealed a significant main effect for group; ROM was greater in the control group (F[1, 28] = 47.35; P < .001). The concurrent validity of the CWT was partially supported. CONCLUSION: The results indicate that the CWT may provide highly reliable scores for dynamic wrist extension ROM, and moderately reliable scores for flexion, in people recovering from a distal radius fracture. LEVEL OF EVIDENCE: N/A.

IRB and Research Regulatory Delays Within the Military Health System: Do They Really Matter? And If So, Why and for Whom?

Institutional review board (IRB) delays may hinder the successful completion of federally funded research in the U.S. military. When this happens, time-sensitive, mission-relevant questions go unanswered. Research participants face unnecessary burdens and risks if delays squeeze recruitment timelines, resulting in inadequate sample sizes for definitive analyses. More broadly, military members are exposed to untested or undertested interventions, implemented by well-intentioned leaders who bypass the research process altogether. To illustrate, we offer two case examples. We posit that IRB delays often appear in the service of managing institutional risk, rather than protecting research participants. Regulators may see more risk associated with moving quickly than risk related to delay, choosing to err on the side of bureaucracy. The authors of this article, all of whom are military-funded researchers, government stakeholders, and/or human subject protection experts, offer feasible recommendations to improve the IRB system and, ultimately, research within military, veteran, and civilian populations.

A pilot feasibility study of virtual patient simulation to enhance social work students' brief mental health assessment skills.

This study presents preliminary feasibility and acceptability data on the use of virtual patient (VP) simulations to develop brief assessment skills within an interdisciplinary care setting. Results support the acceptability of technology-enhanced simulations and offer preliminary evidence for an association between engagement in VP practice simulations and improvements in diagnostic accuracy and clinical interviewing skills. Recommendations and next steps for research on technology-enhanced simulations within social work are discussed.

Psychophysiological response to virtual reality and subthreshold posttraumatic stress disorder symptoms in recently deployed military.

OBJECTIVE: Subthreshold posttraumatic stress disorder (PTSD) has garnered recent attention because of the significant distress and functional impairment associated with the symptoms as well as the increased risk of progression to full PTSD. However, the clinical presentation of subthreshold PTSD can vary widely and therefore is not clearly defined, nor is there an evidence-based treatment approach. Thus, we aim to further the understanding of subthreshold PTSD symptoms by reporting the use of a virtual combat environment in eliciting distinctive psychophysiological responses associated with PTSD symptoms in a sample of subthreshold recently deployed US service members. METHODS: Heart rate, skin conductance, electromyography (startle), respiratory rate, and blood pressure were monitored during three unique combat-related virtual reality scenarios as a novel procedure to assess subthreshold symptoms in a sample of 78 service members. The Clinician-Administered PTSD Scale was administered, and linear regression analyses were used to investigate the relationship between symptom clusters and physiological variables. RESULTS: Among the range of psychophysiological measures that were studied, regression analysis revealed heart rate as most strongly associated with Clinician-Administered PTSD Scale-based measures hyperarousal (R = 0.11, p = .035,) reexperiencing (R = 0.24, p = .001), and global PTSD symptoms (R = 0.17, p = .003). CONCLUSIONS: Our findings support the use of a virtual reality environment in eliciting physiological responses associated with subthreshold PTSD symptoms.

Risk assessment for CPAP nonadherence in adults with newly diagnosed obstructive sleep apnea: preliminary testing of the Index for Nonadherence to PAP (I-NAP).

PURPOSE: Identification of risk for continuous positive airway pressure therapy (CPAP) nonadherence prior to home treatment is an opportunity to deliver targeted adherence interventions. Study objectives included the following: (1) test a risk screening questionnaire to prospectively identify CPAP nonadherence risk among adults with newly diagnosed obstructive sleep apnea (OSA), (2) reduce the questionnaire to a minimum item set that effectively identifies 1-month CPAP nonadherence, and (3) examine the diagnostic utility of the screening index. METHODS: A prospective, longitudinal study at two clinical sleep centers in the USA included adults with newly diagnosed OSA (n=97; AHI≥5 events/h) by polysomnogram (PSG) consecutively recruited to participate. After baseline participant and OSA characteristics were collected, a risk screening questionnaire was administered immediately following CPAP titration polysomnogram. One-month objective CPAP use was collected. RESULTS: Predominantly, white (87%), males (55%), and females (45%) with obesity (BMI 38.3 kg/m2; SD 9.3) and severe OSA (AHI 36.8; SD 19.7) were included. One-month CPAP use was 4.25 h/night (SD 2.35). Nineteen questionnaire items (I-NAP) reliably identified nonadherers defined at <4 h/night CPAP use (Wald X2[8]=34.67, p<0.0001) with ROC AUC 0.83 (95% CI 0.74-0.91). Optimal score cut point for the I-NAP screening questionnaire were determined to maximize sensitivity (87%) while maintaining specificity>60% (63%). CONCLUSION: A risk screening questionnaire employed immediately after titration PSG may reliably identify CPAP nonadherers and permit the delivery of targeted interventions to prevent or reduce nonadherence. This novel approach may enhance cost-effectiveness of care and permit appropriate allocation of resources for CPAP adherence.

Is inconsistent pre-treatment bedtime related to CPAP non-adherence?

Lack of adherence to continuous positive airway pressure therapy (CPAP) limits the effectiveness of treatment of obstructive sleep apnea (OSA). We hypothesized that an irregular bedtime would be negatively related to regular use of CPAP treatment. If so, modifying bedtime schedule may address the persistent problem of inconsistent CPAP use in adults with OSA. In a prospective longitudinal study, we examined whether inconsistent self-reported bedtime before initiation of CPAP treatment, operationalized as bedtime variability, was (1) different among those adherent (≥4 hours per night) and non-adherent to CPAP treatment at 1 week and 1 month; and/or (2) was related to 1-week and 1-month CPAP use when other variables were accounted for. Consecutively recruited newly diagnosed OSA adults (n = 79) completed sleep diaries prior to CPAP treatment. One-week and 1-month objective CPAP use data were collected. Pre-treatment bedtime variability was different among CPAP non-adherers and adherers at 1 month and was a significant predictor of non-adherence at 1 month in multi-variable analyses. The odds of 1-month CPAP non-adherence were 3.5 times greater in those whose pre-treatment bedtimes varied by >75 minutes. Addressing sleep schedule prior to CPAP initiation may be an opportunity to improve CPAP adherence.

What Is Medical Extended Reality? A Taxonomy Defining the Current Breadth and Depth of an Evolving Field.

Medical extended reality (MXR) has emerged as a dynamic field at the intersection of health care and immersive technology, encompassing virtual, augmented, and mixed reality applications across a wide range of medical disciplines. Despite its rapid growth and recognition by regulatory bodies, the field lacks a standardized taxonomy to categorize its diverse research and applications. This American Medical Extended Reality Association guideline, authored by the editorial board of the Journal of Medical Extended Reality, introduces a comprehensive taxonomy for MXR, developed through a multidisciplinary and international collaboration of experts. The guideline seeks to standardize terminology, categorize existing work, and provide a structured framework for future research and development in MXR. An international and multidisciplinary panel of experts was convened, selected based on publication track record, contributions to MXR, and other objective measures. Through an iterative process, the panel identified primary and secondary topics in MXR. These topics were refined over several rounds of review, leading to the final taxonomy. The taxonomy comprises 13 primary topics that jointly expand into 180 secondary topics, demonstrating the field's breadth and depth. At the core of the taxonomy are five overarching domains: (1) technological integration and innovation; (2) design, development, and deployment; (3) clinical and therapeutic applications; (4) education, training, and communication; and (5) ethical, regulatory, and socioeconomic considerations. The developed taxonomy offers a framework for categorizing the diverse research and applications within MXR. It may serve as a foundational tool for researchers, clinicians, funders, academic publishers, and regulators, facilitating clearer communication and categorization in this rapidly evolving field. As MXR continues to grow, this taxonomy will be instrumental in guiding its development and ensuring a cohesive understanding of its multifaceted nature.

Understanding the impact of adult pertussis and current approaches to vaccination: A narrative review and expert panel recommendations.

Pertussis has several notable consequences, causing economic burden, increased strain on healthcare facilities, and reductions in quality of life. Recent years have seen a trend toward an increase in pertussis cases affecting older children and adults. To boost immunity, and protect vulnerable populations, an enduring approach to vaccination has been proposed, but gaps remain in the evidence surrounding adult vaccination that are needed to inform such a policy. Gaps include: the true incidence of pertussis and its complications in adults; regional variations in disease recognition and reporting; and incidence of severe disease, hospitalizations, and deaths in older adults. Better data on the efficacy/effectiveness of pertussis vaccination in adults, duration of protection, and factors leading to poor vaccine uptake are needed. Addressing the critical evidence gaps will help highlight important areas of unmet need and justify the importance of adult pertussis vaccination to healthcare professionals, policymakers, and payers.

Public health management of pertussis in adults: Practical challenges and future strategies.

A panel of 24 international experts met in July 2022 to discuss challenges associated with pertussis detection, monitoring, and vaccination in adults; conclusions from this meeting are presented. There has been a shift in the epidemiology of pertussis toward older children and adults. This shift has been attributed to the waning of infection- or vaccine-induced immunity, newer detection techniques causing detection bias, and possibly the replacement of whole-cell pertussis with acellular vaccines in high-income countries, which may lead to immunity waning more quickly. The burden of adult pertussis is still likely under-ascertained due to widespread under-recognition by healthcare professionals (HCPs), under-diagnosis, and under-reporting in this age group. Non-standardized testing guidance and varied case definitions have contributed to under-reporting. Key barriers to HCP engagement with the tetanus, diphtheria, and pertussis (Tdap) vaccine include low awareness, lack of time/funding, and lack of motivation due to low prioritization of Tdap.

User-state sensing for virtual health agents and telehealth applications.

Nonverbal behaviors play a crucial role in shaping outcomes in face-to-face clinical interactions. Experienced clinicians use nonverbals to foster rapport and "read" their clients to inform diagnoses. The rise of telemedicine and virtual health agents creates new opportunities, but it also strips away much of this nonverbal channel. Recent advances in low-cost computer vision and sensing technologies have the potential to address this challenge by learning to recognize nonverbal cues from large datasets of clinical interactions. These techniques can enhance both telemedicine and the emerging technology of virtual health agents. This article describes our current research in addressing these challenges in the domain of PTSD and depression screening for U.S. Veterans. We describe our general approach and report on our initial contribution: the creation of a large dataset of clinical interview data that facilitates the training of user-state sensing technology.

Framework for Accurate Classification of Self-Reported Stress From Multisession Functional MRI Data of Veterans With Posttraumatic Stress.

Background: Posttraumatic stress disorder (PTSD) is a significant burden among combat Veterans returning from the wars in Iraq and Afghanistan. While empirically supported treatments have demonstrated reductions in PTSD symptomatology, there remains a need to improve treatment effectiveness. Functional magnetic resonance imaging (fMRI) neurofeedback has emerged as a possible treatment to ameliorate PTSD symptom severity. Virtual reality (VR) approaches have also shown promise in increasing treatment compliance and outcomes. To facilitate fMRI neurofeedback-associated therapies, it would be advantageous to accurately classify internal brain stress levels while Veterans are exposed to trauma-associated VR imagery. Methods: Across 2 sessions, we used fMRI to collect neural responses to trauma-associated VR-like stimuli among male combat Veterans with PTSD symptoms (N = 8). Veterans reported their self-perceived stress level on a scale from 1 to 8 every 15 s throughout the fMRI sessions. In our proposed framework, we precisely sample the fMRI data on cortical gray matter, blurring the data along the gray-matter manifold to reduce noise and dimensionality while preserving maximum neural information. Then, we independently applied 3 machine learning (ML) algorithms to this fMRI data collected across 2 sessions, separately for each Veteran, to build individualized ML models that predicted their internal brain states (self-reported stress responses). Results: We accurately classified the 8-class self-reported stress responses with a mean (± standard error) root mean square error of 0.6 (± 0.1) across all Veterans using the best ML approach. Conclusions: The findings demonstrate the predictive ability of ML algorithms applied to whole-brain cortical fMRI data collected during individual Veteran sessions. The framework we have developed to preprocess whole-brain cortical fMRI data and train ML models across sessions would provide a valuable tool to enable individualized real-time fMRI neurofeedback during VR-like exposure therapy for PTSD.

A virtual reality program to assess cognitive function in multiple sclerosis: A pilot study.

Introduction: Cognitive impairment is a debilitating symptom in people with multiple sclerosis (MS). Most of the neuropsychological tasks have little resemblance to everyday life. There is a need for ecologically valid tools for assessing cognition in real-life functional contexts in MS. One potential solution would involve the use of virtual reality (VR) to exert finer control over the task presentation environment; however, VR studies in the MS population are scarce. Objectives: To explore the utility and feasibility of a VR program for cognitive assessment in MS. Methods: A VR classroom embedded with a continuous performance task (CPT) was assessed in 10 non-MS adults and 10 people with MS with low cognitive functioning. Participants performed the CPT with distractors (i.e., WD) and without distractors (i.e., ND). The Symbol Digit Modalities Test (SDMT), California Verbal Learning Test-II (CVLT-II), and a feedback survey on the VR program was administered. Results: People with MS exhibited greater reaction time variability (RTV) compared to non-MS participants, and greater RTV in both WD and ND conditions was associated with lower SDMT. Conclusions: VR tools warrant further research to determine their value as an ecologically valid platform for assessing cognition and everyday functioning in people with MS.

Development and testing of virtual reality exposure therapy for post-traumatic stress disorder in active duty service members who served in Iraq and Afghanistan.

This study was an open-label, single-group, treatment-development project aimed at developing and testing a method for applying virtual reality exposure therapy (VRET) to active duty service members diagnosed with combat post-traumatic stress disorder (PTSD). Forty-two service members with PTSD were enrolled, and 20 participants completed treatment. The PTSD Checklist-Military version, Patient Health Questionnaire-9 for depression, and the Beck Anxiety Inventory were used as outcome measures. Of those who completed post-treatment assessment, 75% had experienced at least a 50% reduction in PTSD symptoms and no longer met DSM-IV criteria for PTSD at post treatment. Average PSTD scores decreased by 50.4%, depression scores by 46.6%, and anxiety scores by 36%. Intention-to-treat analyses showed that statistically significant improvements in PTSD, depression, and anxiety occurred over the course of treatment and were maintained at follow up. There were no adverse events associated with VRET treatment. This study provides preliminary support for the use of VRET in combat-related PTSD. Further study will be needed to determine the wider utility of the method and to determine if it offers advantages over other established PTSD treatment modalities.