A Mixed Scoping and Narrative Review of Immersive Technologies Applied to Patients for Pain, Anxiety, and Distress in Radiology and Radiotherapy
Abstract
1. Introduction
1.1. Background
- VR fully immerses patients in calming or distracting environments, reducing procedural pain by over 30% in trials, notably in burns, chemotherapy, and MRI [21].
- AR overlays digital content on the real world, educating patients and reducing anticipatory fear, useful in pediatric and cognitively impaired populations.
- MR blends virtual and real elements, enabling interaction responsive to movement or biometrics, enhancing presence and agency in rehabilitation and pain management.
1.2. Context, Rationale, and Purpose of the Mixed Scoping and Narrative Review
1.2.1. Context and Rationale
1.2.2. Purpose of the Mixed Scoping and Narrative Review
2. Materials and Methods
2.1. Design and Search Strategy
- (a)
- Publications had to be written in English.
- (b)
- Investigations needed to assess the use of VR, AR, MR, or XR explicitly for reducing pain, anxiety, or psychological distress.
- (c)
- The patient population had to involve individuals undergoing diagnostic or therapeutic radiological procedures, including imaging or radiotherapy.This targeted scope was designed to address a clinically meaningful intersection between immersive technologies and patient-centered outcomes in oncology and diagnostic settings.
2.2. Study Selection and Data Extraction
2.3. Analytic Approach
- Descriptive mapping (scoping component):This involved systematic tabulation and summarization of key study attributes, including study designs, participant demographics, clinical contexts, types of immersive technologies used, and the targeted symptoms or outcomes, such as pain, anxiety, and psychological distress. This mapping functioned as a comprehensive inventory of available evidence, facilitating an understanding of the overall distribution, scope, and characteristics of the research landscape.
- Narrative synthesis (interpretive component):Beyond descriptive aggregation, the research team engaged in iterative, collaborative discussions to identify and explore emerging themes, patterns, and contextual nuances that emerged from the data. This qualitative synthesis examined factors influencing implementation and effectiveness, such as technology usability, patient acceptance, integration challenges within clinical workflows (e.g., compatibility of headsets with radiotherapy equipment), and population-specific preferences (e.g., pediatric versus adult patients). This interpretive process provided richer insights into the how and why certain immersive interventions succeeded or faced limitations and offered critical reflections to inform future research priorities and practical applications.
2.4. Assessment of Potential Bias
3. Results
- Rationale for the Evidence Synthesis Structure
- Section 3.1—Inclusion Criteria and Study CharacteristicsThis foundational subsection establishes the context by detailing the selection criteria and summarizing the key attributes of the included studies. By describing the immersive technologies utilized—primarily virtual reality—and their clinical contexts, such as radiotherapy, diagnostic/interventional radiology, and pediatric oncology, alongside methodological elements like patient populations, sample sizes, and outcome metrics, this section lays crucial groundwork. It captures the diversity and complexity of the literature, framing the heterogeneity in interventions, study designs, and outcomes, which is essential for appreciating the scope and limitations of the current evidence base. This broad mapping corresponds to the scoping objective of the review, offering transparency and orientation.
- Section 3.2—Thematic Analysis of Key DimensionsFollowing this overview, the evidence is synthesized through five carefully delineated thematic areas derived from a detailed qualitative and quantitative analysis. It moves from descriptive mapping to thematic analysis, distilling the evidence into five high-impact domains—patient engagement, procedural efficiency, equity and access, methodological robustness, and personalization—each of which represents a pivotal determinant for successful implementation. This thematic architecture is designed to be both clinically intuitive and analytically rigorous, enabling the reader to identify not only “what works” but also “under what conditions” and “for whom.” These themes address critical facets of immersive technology applications in clinical oncology and radiology:
- ○
- Section 3.2.1—Patient Engagement and Psychological ReadinessInvestigates how individual patient factors, such as motivation, baseline anxiety, and technological receptiveness, influence intervention effectiveness. This theme highlights the importance of tailoring immersive approaches to patient-specific psychological states to optimize therapeutic outcomes.
- ○
- Section 3.2.2—VR and Procedural EfficiencyExplores the impact of immersive technologies on clinical workflow and procedural dynamics, including duration and sedation needs, assessing their feasibility as adjuncts or alternatives to pharmacological interventions. This analysis addresses concerns about operational integration and patient comfort.
- ○
- Section 3.2.3—Equity and AccessExamines barriers related to digital literacy, accessibility, and usability, underscoring the risk of unequal benefits across diverse patient populations. It emphasizes strategies for inclusive implementation to ensure equitable access to immersive healthcare innovations.
- ○
- Section 3.2.4—Methodological LimitationsHighlights the considerable variability in study designs, sample sizes, and outcome measures, advocating for the development and adoption of standardized protocols. Addressing these methodological challenges is crucial for strengthening the evidence quality and reproducibility.
- ○
- Section 3.2.5—Personalization and PrecisionFocuses on emerging trends toward tailoring immersive content to individual clinical and psychological profiles, aligning with precision medicine paradigms. This theme underscores the potential for customized digital interventions to enhance anxiety and pain management efficacy.
3.1. Inclusion and Characteristics of the Studies
3.2. Immersive Technologies in Clinical Settings: Key Themes and Insights
3.2.1. Patient Engagement and Psychological Readiness
3.2.2. VR and Procedural Efficiency: Time, Workflow, and Sedation
3.2.3. Equity and Access in Immersive Care Models
3.2.4. Limitations and Methodological Heterogeneity in VR Studies
3.2.5. Toward Personalized Immersive Oncology: Matching VR Content to Patient Profiles
4. Discussion
- Rationale for the Discussion Structure
- Section 4.1—Clinical Interpretation of FindingsThis section provides a critical synthesis of the evidence, emphasizing the clinical significance of immersive technologies in mitigating anxiety, pain, and distress, particularly in radiology and radiotherapy settings. By connecting study outcomes to patient-centered benefits, it contextualizes how immersive interventions operate across different stages of care and modalities (e.g., radiotherapy preparation vs. intra-procedural distraction). The discussion goes beyond descriptive reporting to explore mechanisms of action, moderating factors, and the potential for personalization—linking empirical evidence to real-world clinical decision-making.
- Section 4.2—Positioning Within Digital Therapeutics (DTx)Placing immersive technologies within the DTx framework provides conceptual and regulatory clarity. This section examines the transition from “distraction-based adjuncts” to “clinically validated digital interventions,” drawing on definitions and standards from regulatory authorities, such as the FDA and EMA. It outlines the requirements for DTx designation, including evidence from randomized controlled trials, standardized treatment protocols, and post-market surveillance. This positioning is essential to elevate immersive technologies from experimental or niche applications to scalable, evidence-based medical solutions with defined therapeutic claims.
- Section 4.3—Market Growth and Translational PotentialImmersive digital therapeutics are experiencing rapid commercial expansion, driven by increasing demand for non-pharmacological treatments for pain and anxiety. This section situates the clinical promise within the broader market landscape, considering technology readiness, cost-effectiveness, industry investment trends, and integration into existing healthcare systems. By addressing both drivers (e.g., patient demand and technological maturity) and barriers (e.g., interoperability and data privacy), it bridges the gap between research findings and real-world adoption.
- Section 4.4—Integration with Established Psychological TherapiesImmersive technologies hold the potential to enhance and extend the impact of established interventions, such as cognitive-behavioral therapy (CBT) and mindfulness. This section discusses the theoretical and practical basis for such integration, considering factors like engagement, adherence, and transfer of learning to daily life. It also identifies systemic challenges that must be addressed—such as the lack of standardized clinical guidelines, uncertainty in reimbursement models, and the need for multicenter validation—to enable widespread adoption within multidisciplinary care pathways.
- Section 4.5—LimitationsThis section highlights the strengths of our mixed scoping and narrative review approach, while acknowledging typical limitations, such as the absence of formal bias assessments and sensitivity analyses due to its non-systematic design, and the re-striction to English-language studies, which future research could address.
4.1. Interpretation of Findings and Clinical Relevance
Summary of Findings
- Strengths and Clinical Benefits
- Limitations and Gaps
4.2. Immersive Technologies in Radiology and Radiotherapy: Defining Their Role Within Digital Therapeutics
4.3. Market Growth and Emerging Opportunities for Immersive Digital Therapeutics in Pain and Anxiety Management
4.4. Complementing Traditional Psychological Therapies with Immersive Technologies: Future Perspectives
- Development of Standardized Guidelines
- Regulatory Frameworks and Clinical Validation
- Reimbursement Pathways
- Research and Evidence Generation
4.5. Study Limitations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Wang, J.; Doan, L.V. Clinical pain management: Current practice and recent innovations in research. Cell Rep. Med. 2024, 5, 101786. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Walker, J.; van Niekerk, M.; Hobbs, H.; Toynbee, M.; Magill, N.; Bold, R.; Hampsey, E.; Harriss, E.; Frost, C.; Sharpe, M. The prevalence of anxiety in general hospital inpatients: A systematic review and meta-analysis. Gen. Hosp. Psychiatry 2021, 72, 131–140. [Google Scholar] [CrossRef] [PubMed]
- Lederer, A.-K.; Manteufel, I.; Knott, A.; Müller, A.; Kousoulas, L.; Werthmann, P.G.; Klein, A.C.; Huber, R. The Impact of Surgery-Related Emotional Distress on Long-Term Outcome After Colorectal Surgery: An Observational Follow-Up. J. Clin. Med. 2024, 13, 6406. [Google Scholar] [CrossRef] [PubMed]
- Morone, N.E.; Belnap, B.H.; He, F.; Mazumdar, S.; Weiner, D.K.; Rollman, B.L. Pain adversely affects outcomes to a collaborative care intervention for anxiety in primary care. J. Gen. Intern. Med. 2013, 28, 58–66. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Rhudy, J.L.; Meagher, M.W. The role of emotion in pain modulation. Curr. Opin. Psychiatry 2001, 14, 241–245. [Google Scholar] [CrossRef]
- Kessler, R.C.; Sonnega, A.; Bromet, E.; Hughes, M.; Nelson, C.B. Posttraumatic stress disorder in the National Comorbidity Survey. Arch. Gen. Psychiatry 1995, 52, 1048–1060. [Google Scholar] [CrossRef] [PubMed]
- Hyland, S.J.; Brockhaus, K.K.; Vincent, W.R.; Spence, N.Z.; Lucki, M.M.; Howkins, M.J.; Cleary, R.K. Perioperative Pain Management and Opioid Stewardship: A Practical Guide. Healthcare 2021, 9, 333. [Google Scholar] [CrossRef] [PubMed]
- Meléndez, J.C.; McCrank, E. Anxiety-related reactions associated with magnetic resonance imaging examinations. JAMA 1993, 270, 745–747. [Google Scholar] [CrossRef] [PubMed]
- Katz, R.C.; Wilson, L.; Frazer, N. Anxiety and its determinants in patients undergoing magnetic resonance imaging. J. Behav. Ther. Exp. Psychiatry 1994, 25, 131–134. [Google Scholar] [CrossRef] [PubMed]
- Delewi, R.; Vlastra, W.; Rohling, W.J.; Wagenaar, T.C.; Zwemstra, M.; Meesterman, M.G.; Vis, M.M.; Wykrzykowska, J.J.; Koch, K.T.; de Winter, R.J.; et al. Anxiety levels of patients undergoing coronary procedures in the catheterization laboratory. Int. J. Cardiol. 2017, 228, 926–930. [Google Scholar] [CrossRef] [PubMed]
- Fabian, A.; Rühle, A.; Domschikowski, J.; Trommer, M.; Wegen, S.; Becker, J.N.; Wurschi, G.; Boeke, S.; Sonnhoff, M.; Fink, C.A.; et al. Psychosocial distress in cancer patients undergoing radiotherapy: A prospective national cohort of 1042 patients in Germany. J. Cancer Res. Clin. Oncol. 2023, 149, 9017–9024. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Andersen, B.L.; Karlsson, J.A.; Anderson, B.; Tewfik, H.H. Anxiety and cancer treatment: Response to stressful radiotherapy. Health Psychol. 1984, 3, 535–551. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Garland, E.L.; Froeliger, B.; Howard, M.O. Mindfulness training targets neurocognitive mechanisms of addiction at the attention-appraisal-emotion interface. Front. Psychiatry 2014, 4, 173. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Zeidan, F.; Grant, J.A.; Brown, C.A.; McHaffie, J.G.; Coghill, R.C. Mindfulness meditation-related pain relief: Evidence for unique brain mechanisms in the regulation of pain. Neurosci. Lett. 2012, 520, 165–173. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Available online: https://www.physio-pedia.com/Psychological_Approaches_to_Pain_Management (accessed on 29 July 2025).
- Toussaint, L.; Nguyen, Q.A.; Roettger, C.; Dixon, K.; Offenbächer, M.; Kohls, N.; Hirsch, J.; Sirois, F. Effectiveness of Progressive Muscle Relaxation, Deep Breathing, and Guided Imagery in Promoting Psychological and Physiological States of Relaxation. Evid. Based Complement. Alternat. Med. 2021, 2021, 5924040. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Lee, H.J. Digital therapeutics in pain medicine. Korean J. Pain 2021, 34, 247–249. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Lastrucci, A.; Votta, C.; Serventi, E.; Cornacchione, P.; Francioni, S.; Wandael, Y.; Talamonti, C.; Ricci, R. The application of virtual environment radiotherapy for RTT training: A scoping review. J. Med. Imaging Radiat. Sci. 2024, 55, 339–346. [Google Scholar] [CrossRef] [PubMed]
- Lastrucci, A.; Wandael, Y.; Barra, A.; Ricci, R.; Maccioni, G.; Pirrera, A.; Giansanti, D. Exploring Augmented Reality Integration in Diagnostic Imaging: Myth or Reality? Diagnostics 2024, 14, 1333. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Teh, J.J.; Pascoe, D.J.; Hafeji, S.; Parchure, R.; Koczoski, A.; Rimmer, M.P.; Khan, K.S.; Al Wattar, B.H. Efficacy of virtual reality for pain relief in medical procedures: A systematic review and meta-analysis. BMC Med. 2024, 22, 64. [Google Scholar] [CrossRef]
- Janecký, D.; Kučera, E.; Haffner, O.; Košutzká, Z.; Martiš, P. The Use of Mixed Reality for Exposure Therapy to Improve Phobia Handling. Int. J. Cogn. Behav. Ther. 2025, 18, 201–240. [Google Scholar] [CrossRef]
- Mittal, A.; Wakim, J.; Huq, S.; Wynn, T. Effectiveness of XR Reality in Reducing Perceived Pain and Anxiety Among Patients Within a Hospital System: Protocol for a Mixed Methods Study. JMIR Res. Protoc. 2024, 13, e52649. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Burridge, N.; Sillence, A.; Teape, L.; Clark, B.; Bruce, E.; Armoogum, J.; Leloch, D.; Spathis, A.; Etkind, S. Virtual reality reduces anxiety and pain in acute hospital palliative care: Service evaluation. BMJ Support. Palliat. Care 2025, 15, 387–390. [Google Scholar] [CrossRef] [PubMed]
- Tricco, A.C.; Lillie, E.; Zarin, W.; O’Brien, K.K.; Colquhoun, H.; Levac, D.; Moher, D.; Peters, M.D.J.; Horsley, T.; Weeks, L.; et al. PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and explanation. Ann. Intern. Med. 2018, 169, 467–473. [Google Scholar] [CrossRef]
- Arksey, H.; O’Malley, L. Scoping studies: Towards a methodological framework. Int. J. Soc. Res. Methodol. Theory Pract. 2005, 8, 19–32. [Google Scholar] [CrossRef]
- Kapoor, M.C. Types of studies and research design. Indian J. Anaesth. 2016, 60, 626–630. [Google Scholar] [CrossRef] [PubMed]
- Schaake, R.; Leopold, I.; Sandberg, A.; Zenk, B.; Shafer, L.; Yu, D.; Lu, X.; Theingi, S.; Udongwo, A.; Cohen, G.S.; et al. Virtual Reality for the Management of Pain and Anxiety for IR Procedures: A Prospective, Randomized, Pilot Study on Digital Sedation. J. Vasc. Interv. Radiol. 2024, 35, 825–833. [Google Scholar] [CrossRef] [PubMed]
- Gullo, G.; Rotzinger, D.C.; Colin, A.; Frossard, P.; Gudmundsson, L.; Jouannic, A.M.; Qanadli, S.D. Virtually Augmented Self-Hypnosis in Peripheral Vascular Intervention: A Randomized Controlled Trial. Cardiovasc. Intervent. Radiol. 2023, 46, 786–793. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Gao, J.; Liu, S.; Zhang, S.; Wang, Y.; Liang, Z.; Feng, Q.; Hu, M.; Zhang, Q. Pilot Study of a Virtual Reality Educational Intervention for Radiotherapy Patients Prior to Initiating Treatment. J. Cancer Educ. 2022, 37, 578–585. [Google Scholar] [CrossRef] [PubMed]
- Grilo, A.M.; Almeida, B.; Rodrigues, C.; Isabel Gomes, A.; Caetano, M. Using virtual reality to prepare patients for radiotherapy: A systematic review of interventional studies with educational sessions. Tech. Innov. Patient Support. Radiat. Oncol. 2023, 25, 100203. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Hernandez, R.; Nisar, H.; Kesavadas, T.K.; McGee, M.C.; Gerstner, G.J.; Martinez, A.; Boyce, C.; Ashrafi, S.A.; Addington, E.L.; Matthews, A.K.; et al. Assessing safety and feasibility of virtual reality intervention in patients with lung cancer: A pilot study. Support. Care Cancer 2025, 33, 318. [Google Scholar] [CrossRef] [PubMed]
- Jimenez, Y.A.; Cumming, S.; Wang, W.; Stuart, K.; Thwaites, D.I.; Lewis, S.J. Patient education using virtual reality increases knowledge and positive experience for breast cancer patients undergoing radiation therapy. Support. Care Cancer 2018, 26, 2879–2888. [Google Scholar] [CrossRef] [PubMed]
- Bay, B.N.; Voyvoda, N.; Arifoğlu, M. An initial investigation into the use of virtual reality (VR) glasses on self-reported pain perception during mammography. Radiography 2024, 30, 1363–1367. [Google Scholar] [CrossRef] [PubMed]
- Grange, L.; Grange, R.; Bertholon, S.; Morisson, S.; Martin, I.; Boutet, C.; Grange, S. Virtual reality for interventional radiology patients: A preliminary study. Support. Care Cancer 2024, 32, 416. [Google Scholar] [CrossRef] [PubMed]
- Gonzalez, B.D.; Choo, S.; Janssen, J.J.; Hazelton, J.; Latifi, K.; Leach, C.R.; Bailey, S.; Jim, H.S.L.; Oswald, L.B.; Woolverton, M.; et al. Novel Virtual Reality App for Training Patients on MRI-guided Radiation Therapy. Adv. Radiat. Oncol. 2024, 9, 101477. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Wong, J.; McGuffin, M.; Smith, M.; Loblaw, D.A. The use of virtual reality hypnosis for prostate cancer patients during transperineal biopsy/gold seed implantation: A needs assessment study. J. Med. Imaging Radiat. Sci. 2023, 54, 429–435. [Google Scholar] [CrossRef] [PubMed]
- Cornelis, F.H.; Monard, E.; Moulin, M.A.; Vignaud, E.; Laveissiere, F.; Ben Ammar, M.; Nouri-Neuville, M.; Barral, M.; Lombart, B. Sedation and analgesia in interventional radiology: Where do we stand, where are we heading and why does it matter? Diagn. Interv. Imaging 2019, 100, 753–762. [Google Scholar] [CrossRef] [PubMed]
- Varnier, R.; Brière, O.; Brouillard, T.; Martel-Lafay, I.; Serre, A.A.; Couillet, A.; Chvetzoff, G.; Freulet, C.; Pommier, P. Virtual reality distraction during uterovaginal brachytherapy applicators’ removal: A pilot comparative study. Brachytherapy 2021, 20, 781–787. [Google Scholar] [CrossRef] [PubMed]
- Alanazi, A.; Ashour, F.; Aldosari, H.; Aldosari, B. The Impact of Virtual Reality in Enhancing the Quality of Life of Pediatric Oncology Patients. Stud. Health Technol. Inform. 2022, 289, 477–480. [Google Scholar] [CrossRef] [PubMed]
- Perenic, E.; Grember, E.; Bassard, S.; Koutlidis, N. Impact of virtual reality on pain management in transrectal MRI-guided prostate biopsy. Front. Pain Res. 2023, 4, 1156463. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Digital Therapeutics Alliance. Understanding DTx. Available online: https://dtxalliance.org/understanding-dtx/ (accessed on 29 July 2025).
- Maddox, T.; Oldstone, L.; Sparks, C.Y.; Sackman, J.; Oyao, A.; Garcia, L.; Maddox, R.U.; Ffrench, K.; Garcia, H.; Adair, T.; et al. In-Home Virtual Reality Program for Chronic Lower Back Pain: A Randomized Sham-Controlled Effectiveness Trial in a Clinically Severe and Diverse Sample. Mayo Clin. Proc. Digit. Health 2023, 1, 563–573. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Available online: https://www.relievrx.com/ (accessed on 29 July 2025).
- Digital Therapeutics Alliance. Guidance to Industry: Classification of Digital Health Technologies. Available online: https://dtxalliance.org/wp-content/uploads/2023/06/Guidance-to-Industry-Classification-of-Digital-Health-Technologies-2023Jun05.pdf (accessed on 29 July 2025).
- Lougheed, T. How “digital therapeutics” differ from traditional health and wellness apps. CMAJ 2019, 191, E1200–E1201. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- WHO Recommendations on Digital Interventions for Health System Strengthening. Available online: https://www.who.int/publications/i/item/9789241550505 (accessed on 29 July 2025).
- NICE NICE Recommends 8 Digitally Enabled Therapies to Treat Depression and Anxiety. Available online: https://www.nice.org.uk/news/articles/nice-recommends-8-digitally-enabled-therapies-to-treat-depression-and-anxiety (accessed on 29 July 2025).
- Available online: https://www.rootsanalysis.com/reports/digital-therapeutics-market/208.html (accessed on 29 July 2025).
- Available online: https://www.marknteladvisors.com/research-library/digital-therapeutics-market.html (accessed on 29 July 2025).
- Available online: https://www.grandviewresearch.com/industry-analysis/us-digital-therapeutics-market (accessed on 29 July 2025).
- Available online: https://dtxalliance.org/wp-content/uploads/2023/06/DTA_FS_DHT-Ecosystem-Categorization.pdf (accessed on 29 July 2025).
- Available online: https://www.ey.com/en_ie/insights/life-sciences/navigating-the-digital-wave-dtx-regulations-in-europe-and-beyond (accessed on 29 July 2025).
- Available online: https://www.ibanet.org/patient-access-new-digital-therapies-eu?sap-outbound-id=7FDD82BC482159FEA6728E55417978A58710C037 (accessed on 29 July 2025).
- Gomis-Pastor, M.; Berdún, J.; Borrás-Santos, A.; De Dios López, A.; Fernández-Montells Rama, B.; García-Esquirol, Ó.; Gratacòs, M.; Ontiveros Rodríguez, G.D.; Pelegrín Cruz, R.; Real, J.; et al. Clinical Validation of Digital Healthcare Solutions: State of the Art, Challenges and Opportunities. Healthcare 2024, 12, 1057. [Google Scholar] [CrossRef] [PubMed]
- Yildirim, C.; O’Grady, T. The efficacy of a virtual reality-based mindfulness intervention. arXiv 2021, arXiv:2105.10756. Available online: https://arxiv.org/abs/2105.10756 (accessed on 29 July 2025). [CrossRef]
First Author and Year | Type of the Study | Comparative | Sample Size | Type of Technology Used | Context | Procedure | Methods/Endpoints | Key Results | Conclusion |
---|---|---|---|---|---|---|---|---|---|
Schaake et al., 2024 [27] | Pilot, prospective, randomized controlled trial | Yes (59 VR group vs. 48 SOC) | 107 | VR | Radiology | PICC placement and thyroid FNA | Pain and anxiety (VAS scale) | Pain reduced by −1.74 (p = 0.018), anxiety by −1.60 (p = 0.053) | VR reduces pain and anxiety without prolonging procedures |
Gullo et al., 2023 [28] | Randomized controlled trial | Yes (50 VR vs. 50 SOC) | 100 | VR | Radiology | Endovascular interventions | Pain (VAS scale) and anxiety (STAI scale) | Anxiety responders: 76% VR vs. 46% SOC (p = 0.004); no significant difference in affective emotional pain (pre–post) | VR self-hypnosis has the potential to improve the management of patients’ distress during radiological procedures |
Gao et al., 2022 [29] | Pilot study | Yes (30 VR vs. 30 SOC) | 60 | VR | Radiotherapy | Chest RT | Questionnaire on RT comprehension, anxiety-related scales, and objective physiological data reflecting BP and respiration of patient | Anxiety scores of the VR group decreased significantly compared with those of the SOC group and there was a significant decrease in systolic BP (p < 0.05) and increase in cognitive score (p < 0.05) | VR improves understanding of RT and reduces anxiety |
Grilo et al., 2023 [30] | Systematic review | No | 8 articles included | VR | Radiotherapy | Various anatomical sites | Review of articles regarding educational sessions and similar interventions to prepare patients for treatment, with VR as a learning tool | Anxiety levels decreased with VR educational sessions and throughout the treatment in almost all the studies, although with less homogeneous results | VR methods can enhance cancer patients’ preparation for RT by increasing their understanding of treatment and reducing anxiety |
Hernandez et al., 2025 [31] | Pilot study | No | 11 | VR | Radiotherapy | Lung cancer undergoing concurrent chemotherapy | Questionnaire pre- and post-VR exposure reporting anxiety, pain, and fatigue | Significant improvements were observed in anxiety (p = 0.04), fatigue (p = 0.03), and pain for preliminary efficacy | VR is safe and potentially effective for distress |
Jimenez et al., 2018 [32] | Quasi-experimental study | Yes (19 VR vs. 18 in SOC) | 37 | VR | Radiotherapy | Breast RT | Repeated surveys on RT knowledge, experience, anxiety | Anxiety level was similar between both groups | VR had no measurable effect on anxiety in this cohort |
Bay et al., 2024 [33] | Prospective study | No | 50 | VR | Radiology | Mammography | Questionnaire including VAS scale | No significant correlation between the perceived pain experienced during mammography and the utilization of VR technology | VR does not reduce pain; perception varies with age |
Grange et al., 2024 [34] | Prospective study | No | 91 | VR | Radiology | Interventional radiology | Questionnaire to evaluate patients’ self-evaluation of pain and anxiety | The mean pain level was 2.5 ± 2.7 before the procedure, 3.3 ± 2.5 during the procedure, and 1.6 ± 2.7 after the procedure. Mean anxiety scores were 4.6 ± 2.9 before the procedure, 3.1 ± 2.7 during the procedure, and 1.1 ± 1.9 after the procedure | VR is feasible, safe, and effective in IR and can be beneficial for pain and anxiety management |
Gonzalez et al., 2024 [35] | Prospective study | No | 19 | VR | Radiotherapy | MRI-guided radiotherapy for abdominal targets | Questionnaire to evaluate patients’ self-evaluation of anxiety | Patients reported the app was “extremely helpful” (28%) or “very helpful” (50%) for reducing anxiety | VR app is effective for patient education and anxiety |
Wong et al., 2023 [36] | Prospective, pilot study | No | 23 | VR | Radiology | Transperineal biopsy/gold seed implantation in prostate cancer patients | Questionnaire including VAS scale for pain and distress | 83% of participants with pain scores above the mean and 80% with anxiety scores above the mean agreed that they would be willing to try VR | VR method is useful for patients with high pain/distress |
Cornelis et al., 2019 [37] | Review | NA | NA | VR | Radiology | Interventional radiology | Review of articles regarding the techniques of sedation in interventional radiology | None of these included studies in the review concerned directly the use of VR as digital sedation in IR | Despite the limited evidence, digital sedation supported by VR seemed to be a promising approach for interventional radiology |
Varnier et al., 2021 [38] | Pilot comparative study | Yes (14 patients in VR group vs. 21 in SOC) | 35 | VR | Radiotherapy | Uterovaginal brachytherapy applicators’ removal | Pain and anxiety (VAS scale) | The mean VAS-anxiety was 2.9 before and 2.7 at the peak in the VR group versus 4.1 and 1.6, respectively, in the control group. The mean VAS-pain was 1.0 before, 3.1 at the peak, and 0.4 after the procedure in the experimental group, versus 1.8, 2.0, and 0.6, respectively, in the control group | VR is a feasible alternative to gas sedation |
Alanazi et al., 2022 [39] | Review | NA | NA | VR | Radiotherapy | Pediatric treatment | Review of articles to determine the potential benefits of VR technology while delivering radiotherapy to pediatric patients | Before the start of radiotherapy, pediatric patients have the opportunity to get used to the VR environment in a safe room. This helps to reduce anxiety and ease the transition to treatment without creating a sense of dislocation | VR has the potential to reduce anxiety in pediatrics during treatment pathway |
Perenic et al., 2023 [40] | Prospective study | Yes (75 VR vs. 78 in SOC) | 153 | VR | Radiology | Transrectal MRI-guided prostate biopsy | Pain (VAS scale) | The mean pain score at day zero was, respectively, 3.4 (±2.5) and 2.9 (±2.3) for SOC and VR (p = 0.203). The mean pain score at day zero was significantly lower in naive patients with VR (2.7 (±2.0)) than in naive patients with SOC (3.8 (±2.5), p = 0.012) | VR reduces pain in biopsy-naive patients |
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Lastrucci, A.; Iosca, N.; Busto, G.; Wandael, Y.; Barra, A.; Rossi, M.; Morelli, I.; Pirrera, A.; Desideri, I.; Ricci, R.; et al. A Mixed Scoping and Narrative Review of Immersive Technologies Applied to Patients for Pain, Anxiety, and Distress in Radiology and Radiotherapy. Diagnostics 2025, 15, 2174. https://doi.org/10.3390/diagnostics15172174
Lastrucci A, Iosca N, Busto G, Wandael Y, Barra A, Rossi M, Morelli I, Pirrera A, Desideri I, Ricci R, et al. A Mixed Scoping and Narrative Review of Immersive Technologies Applied to Patients for Pain, Anxiety, and Distress in Radiology and Radiotherapy. Diagnostics. 2025; 15(17):2174. https://doi.org/10.3390/diagnostics15172174
Chicago/Turabian StyleLastrucci, Andrea, Nicola Iosca, Giorgio Busto, Yannick Wandael, Angelo Barra, Mirko Rossi, Ilaria Morelli, Antonia Pirrera, Isacco Desideri, Renzo Ricci, and et al. 2025. "A Mixed Scoping and Narrative Review of Immersive Technologies Applied to Patients for Pain, Anxiety, and Distress in Radiology and Radiotherapy" Diagnostics 15, no. 17: 2174. https://doi.org/10.3390/diagnostics15172174
APA StyleLastrucci, A., Iosca, N., Busto, G., Wandael, Y., Barra, A., Rossi, M., Morelli, I., Pirrera, A., Desideri, I., Ricci, R., Livi, L., & Giansanti, D. (2025). A Mixed Scoping and Narrative Review of Immersive Technologies Applied to Patients for Pain, Anxiety, and Distress in Radiology and Radiotherapy. Diagnostics, 15(17), 2174. https://doi.org/10.3390/diagnostics15172174