ArticleJournal of clinical medicine2022
Assessment of Patient Satisfaction Using a New Augmented Reality Simulation Software for Breast Augmentation: A Prospective Study.
Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07308275 (Longitudinal Evaluation of Direct Neurotization Technique in Breast Reconstruction With Fully Autologous Components), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Longitudinal Evaluation of Direct Neurotization Technique in Breast Reconstruction With Fully Autologous Components: An Assessment of BREAST-Q Sensation Module, Cutaneous Pressure Threshold, Neuregulin 1 (NRG1) Expression, Nerve Fiber Cross-sectional Area, Intraepidermal Nerve Fiber Density (IENFD), and Breast Morphometry
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Technological Integration in Aesthetic Practice: A Systematic Review of Artificial Intelligence, Augmented Reality and Robotics in Cosmetic Procedures.Aesthetic plastic surgery · 2026Pooled it
- Patient Perspective on Preoperative Simulation in Plastic Surgery: A Systematic Review of Patient-Reported Outcomes.Plastic surgery (Oakville, Ont.) · 2026Review
- Preoperative 3-dimensional Simulation in Aesthetic Surgery.Plastic and reconstructive surgery. Global open · 2026Article
- Pushing Boundaries in Aesthetic Breast Surgery: Precise Surgical Planning With Online Consultation and 3-dimensional Simulation.Plastic and reconstructive surgery. Global open · 2025Article
- Artificial Intelligence and Machine Learning in Reconstructive Microsurgery.Seminars in plastic surgery · 2025Review
- A Bibliometric Review of Software Tools in Plastic Surgery: How They Benefit Surgeons and Improve Practice from 2004 to 2024.Aesthetic plastic surgery · 2025Review
- Innovations and Challenges in Implant-Free Breast Augmentation: Moving Towards Safer, Personalized Plastic Surgery.Aesthetic plastic surgery · 2025Article
- Artificial Intelligence, Genuine Outcome: Analysis of 72 Consecutive Cases of Subfascial Augmentation Mastopexy With Smooth Round Implants Supported by P4HB Scaffold.Aesthetic surgery journal · 2024Article
- Morphological Aesthetics Assessment of the Predicted 3D Simulation Results and the Actual Results of Breast Augmentation.Aesthetic plastic surgery · 2024Article
- Integration of Augmented Reality, Virtual Reality, and Extended Reality in Healthcare and Medical Education: A Glimpse into the Emerging Horizon in LMICs-A Systematic Review.Journal of medical education and curricular developmentReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Breast augmentation is one of the most frequently performed plastic surgery procedures. Providing patients with realistic 3D simulations of breast augmentation outcomes is becoming increasingly common. Until recently, such programs were expensive and required significant equipment, training, and office space. New simple user-friendly programs have been developed, but to date there remains a paucity of objective evidence comparing these 3D simulations with post-operative outcomes. The aim of this study is to assess the aesthetic similarity between a pre-operative 3D simulation generated using Arbrea breast simulation software and real post-operative outcomes, with a focus on patient satisfaction. Methods: The authors conducted a prospective study of patients requiring breast augmentation. Patients were asked to assess how realistic the simulation was compared to the one-year post-operative result using the authors’ grading scale for breast augmentation simulation assessment. Patient satisfaction with the simulations was assessed using a satisfaction visual analogue scale (VAS) ranging from 0 (not at all satisfied) to 10 (very satisfied). Patient satisfaction with the surgical outcome was assessed using the BREAST-Q Augmentation Module. Results: All patients were satisfied with the simulations and with the attained breast volume, with a mean VAS score of 8.2 ± 1.2. The mean simulation time took 90 s on average. The differences between the pre-operative and one-year post-operative values of the three BREAST-Q assessments were found to be statistically significant (p < 0.001). Conclusions: Three-dimensional simulation is becoming increasingly common in pre-operative planning for breast augmentation. The present study aimed to assess the degree of similarity of three-dimensional simulations generated using Arbrea Breast Software and found that the use of the software provided a very satisfying representation for patients undergoing breast augmentation. However, we recommend informing patients that only the volume simulation is extremely accurate. On the other hand, it is necessary to not guarantee an absolute correspondence regarding the breast shape between the simulation and the post-operative result.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.