New perspectives in patient education for cardiac surgery using 3D-printing and virtual reality

Virtual Reality as an Adjunct to Traditional Patient Counseling in Patients With Newly Diagnosed Localized Prostate Cancer

OBJECTIVE

To determine the utility of a virtual reality (VR) model constructed using patient-derived clinical imaging to improve patient understanding of localized prostate cancer (PCa) diagnosis and surgical plan.

METHODS

Patients undergoing robotic radical prostatectomy were selected and demographic data recorded. Patients completed a questionnaire to assess baseline knowledge of their diagnosis after consultation and shared-decision making with their surgeon. A trained non-clinical staff member then guided the patient through a VR experience to view patient-specific anatomy in a 3-dimensional space. Patients then completed the same questionnaire, followed by an additional post-VR questionnaire evaluating patient satisfaction. Questions 1-7 (patient understanding of prostate cancer and treatment plan) and 11-17 (patient opinion of VR) used a standard Likert scale and Questions 8-10 were multiple choice with 1 correct answer.

RESULTS

In total, 15 patients were included with an average age of 64.1 years. 6 of 7 questions showed an improvement after VR (P <.001). The percentage of correct responses on Questions 8-10 was higher after VR but not statistically significant (P >.13). Mean responses range from 4.3 to 4.8 (Likert scale, 1 through 5) for the post-VR questionnaire, with a mean total of 31.9 out of 35.

CONCLUSION

This small preliminary investigation of a novel technology to improve the patient experience showed potential as an adjunct to traditional patient counseling. However, due the small sample size and study design, further research is needed to determine the value VR adds to prostate cancer surgical counseling.

Do Extended Reality Interventions Benefit Patients Undergoing Elective Cardiac Surgical and Interventional Procedures? A Systematic Review and Meta-analysis

BACKGROUND

Extended reality (XR) interventions have the potential to benefit patients undergoing elective cardiac surgical and interventional procedures. However, there are no systematic reviews with meta-analyses to guide clinical care.

AIM

To critically evaluate the evidence on the effectiveness of XR interventions on patient anxiety and pain and other associated outcomes.

DESIGN

Systematic review and meta-analysis following the PRISMA 2020 statement.

DATA SOURCES

A systematic search of five databases (CENTRAL, CINAHL, MEDLINE, PsycInfo, Scopus) from inception to July 2023.

METHODS

Screening and data extraction was conducted independently by multiple reviewers. Stata (Version 17) was used to conduct meta-analyses for patient anxiety and pain. Secondary patient outcomes were summarised in a synthesis. The Cochrane Risk of Bias (Version 2) tool was applied to trials and the NHLBI Study Quality Assessment tools to all other study designs.

RESULTS

Of the 3372 records identified, 22 were included, 10 of which were eligible for inclusion in the meta-analyses. Fifty-seven percent of randomised trials were rated as high risk of bias. Virtual reality (VR) was the only XR technology evaluated. VR significantly reduced pre-procedural anxiety (standardised mean difference: -1.29; 95% confidence interval - 1.96, -0.62, p < 0.001), and peri-procedural anxiety (standardised mean difference: -0.50; 95% confidence interval - 0.83, -0.18, p < 0.003) but did not reduce pain levels, compared with usual care. VR increased pre-procedural knowledge and postsurgical physical and pulmonary function. VR interventions may also improve emotional wellbeing, care delivery and physiological outcomes, but evidence was inconsistent.

CONCLUSIONS

XR potentially benefits cardiac patients undergoing elective invasive procedures and surgery by reducing pre- and peri-procedural anxiety and increasing procedural knowledge and physical function.

RELEVANCE TO CLINICAL PRACTICE

Cardiac nurses' role can be supported by VR interventions to improve the patient experience and several aspects of patient care.

PATIENT OR PUBLIC CONTRIBUTION

Not applicable as this is a systematic review.

Use of virtual reality in preoperative education of cardiac surgery patients - A feasibility study

OBJECTIVE

A Virtual Patient Tour (VPT) was developed to inform cardiac surgery patients about their hospitalization from the admission to their postoperative stay on the ward. The objective of our study was to assess the feasibility and acceptability of this VPT following the framework of the Virtual Reality Clinical Outcomes Research Experts Committee.

METHODS

In this single-centre cross-sectional study, adult patients admitted to the hospital for elective cardiac surgery were included. Acceptability, usability, and tolerability were measured by the validated questionnaires Unified Theory of Acceptance and Use of Technology (acceptability), System Usability Scale (usability), and Virtual Reality Sickness Questionnaire (tolerability). Descriptive statistics were used for the analysis.

RESULTS

Twenty-eight participants used the VPT. Results showed high acceptability (mean 16.7 ± 1.5), acceptable usability (mean 86.7 ± 9.3), and high tolerability (sickness score, median 7.1 % [0-17.1 %]).

CONCLUSION

The use of the VPT is a feasible and promising technique. The next step is to optimize the content and technique of the VPT based on the suggestions of the participants.

PRACTICE IMPLICATIONS

We recommend incorporating the VPT into preoperative patient education in addition to the routine information in cardiac surgery patients.

Virtual reality-enhanced interventions on preoperative anxiety symptoms in adults undergoing elective surgery: A meta-analysis and meta-regression

BACKGROUND

Virtual reality exposure and distraction are recent novel technologies for reducing preoperative anxiety symptoms. However, the effectiveness of virtual reality-enhanced interventions in adults is still controversial and has yet to be evaluated in a systematic review.

OBJECTIVES

The study aimed to (1) evaluate the effectiveness of virtual reality-enhanced interventions on preoperative anxiety symptoms in adults compared to comparators; and (2) identify the factors affecting the effectiveness of interventions.

DESIGN

Systematic review, meta-analysis, and meta-regression analysis of randomised controlled trials.

METHODS

We conducted a three-step systematic search from inception until May 1, 2024, using (1) eleven databases, (2) two clinical registries, and (3) citation and grey literature searches in either English or Chinese. The package meta of R software version 4.3.1 was used to perform the meta-analysis, subgroup analysis, and meta-regression analyses. We adopted the restricted maximum likelihood estimator for random-effects meta-analysis and univariate random-effects meta-regression analyses. The Cochrane risk-of-bias tool version 2 and the Grading of Recommendations, Assessment, Development, and Evaluation criteria were used to examine quality assessment and the certainty of evidence.

RESULTS

We selected 26 randomised controlled trials with 2357 participants from 12 different countries. Random-effects meta-analyses showed that virtual reality-enhanced interventions had a statistically significant reduction in preoperative anxiety symptoms (t = -5.58, p < 0.001) with a moderate to large effect size (Hedges' g = -0.76, 95 % confidence interval: -1.03 to -0.48) compared to usual care. Statistically significant subgroup differences were found for the nature of the intervention, geographical region, country, and type of surgery. The improvement in preoperative anxiety symptom outcomes was greater when the virtual reality-enhanced interventions were chosen by patients (g = -2.55, 95 % CI: -3.08 to -2.02) when compared to virtual reality exposure interventions with educational content (g = -0.72, 95%CI: -1.07 to -0.38) or virtual reality distraction interventions (g = -0.64, 95 % CI: -1.04 to -0.23). Trials conducted in Asia had a greater effect on preoperative anxiety symptom outcomes (g = -0.98, 95 % CI: -1.33 to -0. 62) in comparison with those conducted in non-Asia (g = -0.23, 95 % CI: -0.54 to 0.07). The random-effects meta-regression identified sample size (β = -0.008, p = 0.031) as a statistically significant covariate of preoperative anxiety symptoms. The overall certainty of the evidence was very low.

CONCLUSIONS

Virtual reality-enhanced interventions can be considered supplementary interventions for adults undergoing elective surgery. Future trials on a large scale with follow-up assessments are needed.

REGISTRATION

PROSPERO registration ID: CRD42024486343.

Insights into geometric deviations of medical 3d-printing: a phantom study utilizing error propagation analysis

BACKGROUND

The use of 3D-printing in medicine requires a context-specific quality assurance program to ensure patient safety. The process of medical 3D-printing involves several steps, each of which might be prone to its own set of errors. The segmentation error (SegE), the digital editing error (DEE) and the printing error (PrE) are the most important partial errors. Approaches to evaluate these have not yet been implemented in a joint concept. Consequently, information on the stability of the overall process is often lacking and possible process optimizations are difficult to implement. In this study, SegE, DEE, and PrE are evaluated individually, and error propagation is used to examine the cumulative effect of the partial errors.

METHODS

The partial errors were analyzed employing surface deviation analyses. The effects of slice thickness, kernel, threshold, software and printers were investigated. The total error was calculated as the sum of SegE, DEE and PrE.

RESULTS

The higher the threshold value was chosen, the smaller were the segmentation results. The deviation values varied more when the CT slices were thicker and when the threshold was more distant from a value of around -400 HU. Bone kernel-based segmentations were prone to artifact formation. The relative reduction in STL file size [as a proy for model complexity] was greater for higher levels of smoothing and thinner slice thickness of the DICOM datasets. The slice thickness had a minor effect on the surface deviation caused by smoothing, but it was affected by the level of smoothing. The PrE was mainly influenced by the adhesion of the printed part to the build plate. Based on the experiments, the total error was calculated for an optimal and a worst-case parameter configuration. Deviations of 0.0093 mm ± 0.2265 mm and 0.3494 mm ± 0.8001 mm were calculated for the total error.

CONCLUSIONS

Various parameters affecting geometric deviations in medical 3D-printing were analyzed. Especially, soft reconstruction kernels seem to be advantageous for segmentation. The concept of error propagation can contribute to a better understanding of the process specific errors and enable future analytical approaches to calculate the total error based on process parameters.

Evaluating Virtual Reality Patient Education in Cardiac Surgery: Impact on Preoperative Anxiety and Postoperative Patient Satisfaction

Background/Objectives: Preoperative anxiety in cardiac surgery patients can adversely affect mental well-being and postoperative outcomes. Virtual reality (VR) patient education has been proposed as a novel method to enhance patient education and potentially reduce preoperative anxiety. The VR Patient Journey Trial aimed to evaluate the impact of VR patient education on preoperative anxiety and patient satisfaction compared to traditional education methods. Methods: This randomized controlled trial included 121 patients undergoing cardiac surgery. Participants were randomized to receive either VR patient education (intervention group) or traditional education (control group). Preoperative anxiety was measured using the State-Trait Anxiety Inventory (STAI) and the Amsterdam Preoperative Anxiety and Information scale (APAIS). Patient satisfaction was assessed postoperatively through a custom questionnaire. Statistical analyses included linear regression and non-parametric testing. Results: Neither STAI nor APAIS scores showed differences in preoperative anxiety between both groups. However, the intervention group reported significantly higher patient satisfaction with the information provided (median score 9 vs. 8; p < 0.001). Furthermore, women reported higher levels of anxiety than men (p = 0.01), and open-ended feedback from participants indicated a need for more detailed information on postoperative rehabilitation and potential risks. Conclusions: The VR Patient Journey Trial revealed that, although VR patient education did not significantly reduce preoperative anxiety levels, it significantly improved patient satisfaction with the information provided. These results suggest that VR patient education can be a valuable addition to preoperative patient programs.

Accuracy of pelvic bone segmentation for 3d printing: a study of segmentation accuracy based on anatomic landmarks to evaluate the influence of the observer

BACKGROUND

3D printing has a wide range of applications and has brought significant change to many medical fields. However, ensuring quality assurance (QA) is essential for patient safety and requires a QA program that encompasses the entire production process. This process begins with imaging and continues on with segmentation, which is the conversion of Digital Imaging and Communications in Medicine (DICOM) data into virtual 3D-models. Since segmentation is highly influenced by manual intervention the influence of the users background on segmentation accuracy should be thoroughly investigated.

METHODS

Seventeen computed tomography (CT) scans of the pelvis with physiological bony structures were identified, anonymized, exported as DICOM data sets, and pelvic bones were segmented by four observers with different backgrounds. Landmarks were measured on DICOM images and in the segmentations. Intraclass correlation coefficients (ICCs) were calculated to assess inter-observer agreement, and the trueness of the segmentation results was analyzed by comparing the DICOM landmark measurements with the measurements of the segmentation results. The correlation between segmentation trueness and segmentation time was analyzed.

RESULTS

The lower limits of the 95% confidence intervals of the ICCs for the seven landmarks analyzed ranged from 0.511 to 0.986. The distance between the iliac crests showed the highest agreement between observers, while the distance between the ischial tuberosities showed the lowest. The distance between the upper edge of the symphysis and the promontory showed the lowest deviation between DICOM measurements and segmentation measurements (mean deviations < 1 mm), while the intertuberous distance showed the highest deviation (mean deviations 14.5-18.2 mm).

CONCLUSIONS

Investigators with diverse backgrounds in segmentation and varying experience with slice images achieved pelvic bone segmentations with landmark measurements of mostly high agreement in a setup with high realism. In contrast, high variability was observed in the segmentation of the coccyx. In general, interobserver agreement was high, but due to measurement inaccuracies, landmark-based approaches cannot conclusively show that segmentation accuracy is within a clinically tolerable range of 2 mm for the pelvis. If the segmentation is performed by a very inexperienced user, the result should be reviewed critically by the clinician in charge.

Small incisions still require great anesthesia: anesthesiology techniques to enhance recovery in robotic coronary bypass grafting

Robotic coronary artery bypass grafting (CABG) has emerged as a promising minimally invasive surgical technique for the treatment of coronary artery disease. This paper provides an in-depth analysis of the anesthetic management for robotic CABG. Challenges associated with robotic CABG are discussed and various anesthetic techniques, perioperative elements and pain management modalities that can contribute to enhanced patient recovery are explored.

Comparing Conventional Physician-Led Education with VR Education for Pacemaker Implantation: A Randomized Study

INTRODUCTION

Education of patients prior to an invasive procedure is pivotal for good cooperation and knowledge retention. Virtual reality (VR) is a fast-developing technology that helps educate both medical professionals and patients.

OBJECTIVE

To prove non-inferiority of VR education compared to conventional education in patients prior to the implantation of a permanent pacemaker (PPM).

METHODS

150 participants scheduled for an elective implantation of a PPM were enrolled in this prospective study and randomized into two groups: the VR group (n = 75) watched a 360° video about the procedure using the VR headset Oculus Meta Quest 2, while the conventional group (n = 75) was educated by a physician. Both groups filled out a questionnaire to assess the quality of education pre- and in-hospital, their knowledge of the procedure, and their subjective satisfaction.

RESULTS

There was no significant difference in the quality of education. There was a non-significant trend towards higher educational scores in the VR group. The subgroup with worse scores was older than the groups with higher scores (82 vs. 76 years, p = 0.025). Anxiety was reduced in 92% of participants.

CONCLUSION

VR proved to be non-inferior to conventional education. It helped to reduce anxiety and showed no adverse effects.

Impact of virtual reality education on disease-specific knowledge and anxiety for hepatocellular carcinoma patient scheduled for liver resection: a randomized controlled study

PURPOSE

Hepatocellular carcinoma (HCC) is a significant health concern, and the complexity of liver anatomy poses challenges in conveying radiologic findings and surgical plans to patients. This study aimed to evaluate the impact of a virtual reality (VR) education program on anxiety and knowledge in HCC patients undergoing hepatic resection.

METHOD

From 1 January 2022 to 28 February 2023, 88 patients were enrolled in a randomized controlled trial, divided into the VR group ( n =44) and the control group ( n =44). The VR group received patient-specific 3D liver model education through a VR platform, while the control group underwent conventional explanation processes. Both groups completed preintervention and postintervention questionnaires assessing anxiety (using STAI-X-1, STAI-X-2, and VAS) and knowledge about liver resection. Comparison of the questionnaires were performed between the two groups. Multivariable logistic regression was performed to analyze factor related to decrease in anxiety.

RESULT

While there was no significant difference in preintervention anxiety and knowledge scores between the two groups, the VR group exhibited significant reduction in STAI-X-1 scores (-4.14±7.5) compared to the control group (-0.84±5.7, P =0.023), as well as knowledge scores (17.20±2.6) compared to the control group (13.42±3.3, P <0.001). In the multivariable logistic regression model, VR education showed significant impact on decrease in STAI-X-1 score, postintervention. (OR=2.902, CI=1.097-7.674, P =0.032).

CONCLUSION

The VR education program significantly improved knowledge and reduced anxiety among HCC patients compared to conventional methods. This study suggests that VR can be a valuable tool in patient education, enhancing comprehension and alleviating presurgical anxiety.

Clinical application of virtual reality in patients with cardiovascular disease: state of the art

Virtual reality offers a multisensory experience to patients, allowing them to hear, watch, and interact in a virtual environment. Immersive virtual reality is particularly suitable for the purpose of completely isolating patients from the external environment to transport them away from the suffering related to the disease. On this state of the art, we summarize the available literature on the effectiveness of virtual reality on various physical and psychological outcomes in patients with atherosclerotic cardiovascular disease. Virtual reality has been employed in the cardiovascular field in various settings such as cardiac rehabilitation, interventional cardiology, and cardiac surgery. This technology offers promising opportunities to improve several outcomes related to cardiovascular disease, but further research is needed to entirely capture its benefits and to standardize the intervention.

The Effectiveness of Virtual Reality on Anxiety and Pain Management in Patients Undergoing Cardiac Procedures: A Systematic Review and Meta-Analysis

Cardiac procedure-related anxiety and pain can adversely affect outcomes and lead to patient dissatisfaction. Virtual reality (VR) offers a promising alternative to traditional therapies for improving patient experience. Our objective is to synthesize evidence and assess the effectiveness of VR in reducing cardiac procedure-related anxiety and pain compared to standard of care. We conducted a comprehensive search across various online databases, including MEDLINE, EMBASE, CINAHL, Web of Sciences, and COCHRANE, to identify relevant randomized controlled trials (RCTs) focusing on VR, cardiac procedures, anxiety, and pain. We utilized a random-effect model to generate effect estimates reported as standardized mean differences (SMD) with a 95% confidence interval. Our review comprised 10 studies with a total of 621 participants (intervention arm: 301, control arm: 320). Overall, among the seven studies evaluating anxiety outcomes, no significant difference in anxiety reduction was observed between the intervention and control groups (standardized mean difference (SMD) -0.62, 95% CI -1.61, 0.37, p=0.22). However, studies using the same anxiety assessment tool demonstrated a significant improvement in the VR arm (SMD -1.01, 95% CI -1.98, -0.04, p=0.04). Conversely, the narrative synthesis of four studies examining pain revealed mixed results. Our findings suggest no significant difference in anxiety reduction between the VR and control groups. Future studies should employ standardized tools for assessing and reporting anxiety and pain to better understand the potential of VR in enhancing patient experience during cardiac procedures.

Augmented Reality and Virtual Reality in Spine Surgery: A Comprehensive Review

Augmented reality (AR) and virtual reality (VR) are powerful technologies with proven utility and tremendous potential. Spine surgery, in particular, may benefit from these developing technologies for resident training, preoperative education for patients, surgical planning and execution, and patient rehabilitation. In this review, the history, current applications, challenges, and future of AR/VR in spine surgery are examined.

Quality assurance of 3D-printed patient specific anatomical models: a systematic review

BACKGROUND

The responsible use of 3D-printing in medicine includes a context-based quality assurance. Considerable literature has been published in this field, yet the quality of assessment varies widely. The limited discriminatory power of some assessment methods challenges the comparison of results. The total error for patient specific anatomical models comprises relevant partial errors of the production process: segmentation error (SegE), digital editing error (DEE), printing error (PrE). The present review provides an overview to improve the general understanding of the process specific errors, quantitative analysis, and standardized terminology.

METHODS

This review focuses on literature on quality assurance of patient-specific anatomical models in terms of geometric accuracy published before December 4th, 2022 (n = 139). In an attempt to organize the literature, the publications are assigned to comparable categories and the absolute values of the maximum mean deviation (AMMD) per publication are determined therein.

RESULTS

The three major examined types of original structures are teeth or jaw (n = 52), skull bones without jaw (n = 17) and heart with coronary arteries (n = 16). VPP (vat photopolymerization) is the most frequently employed basic 3D-printing technology (n = 112 experiments). The median values of AMMD (AMMD: The metric AMMD is defined as the largest linear deviation, based on an average value from at least two individual measurements.) are 0.8 mm for the SegE, 0.26 mm for the PrE and 0.825 mm for the total error. No average values are found for the DEE.

CONCLUSION

The total error is not significantly higher than the partial errors which may compensate each other. Consequently SegE, DEE and PrE should be analyzed individually to describe the result quality as their sum according to rules of error propagation. Current methods for quality assurance of the segmentation are often either realistic and accurate or resource efficient. Future research should focus on implementing models for cost effective evaluations with high accuracy and realism. Our system of categorization may be enhancing the understanding of the overall process and a valuable contribution to the structural design and reporting of future experiments. It can be used to educate specialists for risk assessment and process validation within the additive manufacturing industry.

Improving adherence to rehabilitation for heart failure patients through immersive virtual reality (VIRTUAL-HF): A protocol for a randomized controlled trial

BACKGROUND

To improve symptoms and reduce poor outcomes related to heart failure (HF), international guidelines recommend cardiac rehabilitation (CR), particularly for those with a reduced ejection fraction. Unfortunately, patient adherence to rehabilitation programs remains suboptimal, with dropouts ranging from 15.4 to 63.3%. An innovative and promising intervention that could improve adherence to rehabilitation is virtual reality (VR). This study aims to evaluate the effects of VR in patients with HF who undergo CR using this technology in terms of adherence (primary outcome), functional capacity, perceived exertion, angina, quality of life, heart rate, oxygen saturation, blood pressure, maximum oxygen uptake, minute ventilation/carbon dioxide production slope, oxygen pulse, blood values of NT-proBNP and HF related rehospitalization rates (secondary outcomes).

METHODS

A randomized controlled trial will be conducted in a sample of 80 patients referred to CR. Participants will be enrolled in a cardiological rehabilitation unit of a large university hospital in Italy and randomized (1:1) to the experimental intervention consisting of CR performed with high-quality immersive VR with PICO 4® Head Mounted Display headset and TREADMILL XR® software (Arm 1) or standard CR (Arm 2). Patients, according to guidelines, will perform 30-min of CR sessions with moderate intensity, twice a week for one month.

RESULTS

Significant improvements in primary and secondary outcomes are expected in patients in the intervention group.

CONCLUSIONS

If proven to be effective, VR could be an innovative, safe, and easy digital health intervention to improve adherence to CR in patients with HF, as well as important clinical outcomes.

Virtual Reality for Pain and Anxiety Management in Cardiac Surgery and Interventional Cardiology

Pain and anxiety are common in patients undergoing cardiac surgery and percutaneous cardiac interventions. Virtual reality (VR) is an emerging non-pharmacological tool for pain and anxiety management. However, its application around cardiac procedures remains relatively unexplored. In this review, we perform a targeted non-systematic literature review to assess the current state-of-the-art of VR for pain and anxiety management in patients undergoing cardiac procedures. Contexts of interest were preprocedural, periprocedural, and postprocedural applications. Existing trials show inconsistent results. The majority of studies in the preprocedural (7 studies, n = 302), periprocedural (1 study, n = 99), and postprocedural stage (4 studies, n = 214) demonstrate significant reduction of pain and anxiety through VR distraction therapy or VR patient education. However, larger-scale trials (2 preprocedural studies [n = 233], 1 periprocedural study [n = 32], 2 postprocedural studies [n = 300]) report no effect. Current literature on effectiveness of VR for pain and anxiety management in cardiac surgery and interventional cardiology remains inconclusive.

Advanced imaging and modeling in neonatal simulation

Advances in modeling and imaging have resulted in realistic tools that can be applied to education and training, and even direct patient care. These include point-of-care ultrasound (POCUS), 3-dimensional and digital anatomic modeling, and extended reality. These technologies have been used for the preparation of complex patient care through simulation-based clinical rehearsals, direct patient care such as the creation of patient devices and implants, and for simulation-based education and training for health professionals, patients and families. In this section, we discuss these emerging technologies and describe how they can be utilized to improve patient care.