Preoperative prediction of breast volume can guide patient expectations and aid surgical planning in breast reconstruction. Here, we evaluate the accuracy of a portable surface imager (Crisalix S.A., Lausanne, Switzerland) in predicting breast volume compared with anthropomorphic estimates and intraoperative specimen weights.
Dr. Nazerali, STANFORD UNIVERSITY, (Annals of Plastic Surgery • Volume 84, Supplement 4, May 2020).
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Study to assess the patients’ attitudes regarding 3D simulation for breast augmentation.
A. de Runz, D. Boccara, N. Bertheuil, F. Claudot, M. Brix, E. Simon (Science direct, Annales de Chirurgie Plastique Esthétique - April 2018).
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The successful aesthetic plastic surgeon’s practice and reputation rely – more than in other disciplines – upon patient satisfaction. So, what if patients could get a clear answer to her numerous questions and see their change in appearance before it actually happens? This paper presents how Crisalix 3D technology increases patient satisfaction and benefits both patients and surgeons.
Dennis C. Hammond, Jaime Garcia (White paper - June 2016).
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In this prospective study, the authors present their experience of fat grafting and resorption in 26 patients who had fat transfer to correct deformities or asymmetries following primary breast enlargement surgery.
Marcos Sforza, Katarina Andjelkov, Renato Zaccheddu, Rodwan Husein, Connor Atkinson; A Preliminary Assessment of the Predictability of Fat Grafting to Correct Silicone Breast Implant-Related Complications. (Aesthetic Surgery Journal, Volume 36, Issue 8, 1 September 2016, Pages 886–894).
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The purpose of this study was to develop a prediction model for estimating DIEP flap weight using the pinch test.
Woo K-J, Mun G-H (Microsurgery. 2017;37:786–792).
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Study to determine the aesthetic similarity between pre-operative 3D simulation generated by Crisalix and real post-operative outcomes.
Vorstenbosch, J. & Islur; (Aesth Plast Surg (2017) 41: 481).
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Research and conclusions to develop a computer tool that allows individual reconstruction and simulation of 3-dimensional (3D) soft tissue from ordinary digital photos of breasts; to implement a web-based, worldwide-accessible preoperative surgical planning platform for plastic surgeons; and to validate this tool through a quality control analysis by comparing 3D laser scans of the patients with the 3D reconstructions with this tool from original 2-dimensional (2D) pictures of the same patients.
De Heras Ciechomski P, et al (Journal of Medical Internet Research 2012;14(1):e21).
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This paper presents the results of using a 3D representation of the patient’s face on created from 2D pictures in which facial aesthetic procedures such as filling, skin clearing or rejuvenation, and rhinoplasty are planned in 3D.
Oliveira-Santos, T., Baumberger, C., Constantinescu, M. et al. (Annals of Biomedical Engineering (2013) 41: 952).
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