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Article

Preliminary Results of Preoperative Planning Using 3D Printing and Augmented Reality in Cryotherapy Treatment of Giant Cell Tumor of Bone—CRIO2AR Project

by
Antonio D’Arienzo
1,
Branimir Scognamiglio
1,*,
Francesco Rosario Campo
1,
Fabio Cosseddu
1,
Damiano Alfio Ruinato
1,
Edoardo Ipponi
1,
Marina Carbone
2,3,
Sara Condino
2,3,
Vincenzo Ferrari
2,3,
Lorenzo Andreani
1,
Rodolfo Capanna
1 and
Paolo Domenico Parchi
1
1
Department of Orthopedics and Trauma Surgery, University of Pisa, 56124 Pisa, Italy
2
Department of Information Engineering, University of Pisa, 56124 Pisa, Italy
3
EndoCAS Center, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56124 Pisa, Italy
*
Author to whom correspondence should be addressed.
Healthcare 2023, 11(19), 2629; https://doi.org/10.3390/healthcare11192629
Submission received: 5 August 2023 / Revised: 20 September 2023 / Accepted: 25 September 2023 / Published: 27 September 2023

Abstract

Giant Cell Tumor of Bone is a benign tumor with high local aggressive expansion, which, in rare cases, spreads metastasis. Surgical treatment, which often consists of wide curettage to reduce recurrence risk, can lower the quality of life for those affected. Along with aggressive surgery, adjuvant intraoperative techniques have been implemented such as PMMA and cryotherapy. One of the most widely used cryotherapy techniques involves the use of probes to generate ice balls, which have been scientifically shown to have various impacts on the tumor. Although this has been acknowledged, no one has yet tested a way to accurately plan the positioning of cryotherapy probes before surgery, according to the research conducted by the authors. CRIO2AR is a randomized clinical prospective ongoing study by which it will be experimented via preoperative planning of ice probes placement using AR and 3D printing technologies. By studying a single clinical case with these technologies, the surgeon gains better awareness of patient’s anatomy and tumor localization. Preliminary results are shown in the article. The first results are confirming that these technologies are applicable in clinical practice. Secondly, preoperative planning is proving to be reliable, easily replicable, and useful for the surgeon.
Keywords: giant cell tumor of bone; cryotherapy; augmented reality; preoperative planning giant cell tumor of bone; cryotherapy; augmented reality; preoperative planning

Share and Cite

MDPI and ACS Style

D’Arienzo, A.; Scognamiglio, B.; Campo, F.R.; Cosseddu, F.; Ruinato, D.A.; Ipponi, E.; Carbone, M.; Condino, S.; Ferrari, V.; Andreani, L.; et al. Preliminary Results of Preoperative Planning Using 3D Printing and Augmented Reality in Cryotherapy Treatment of Giant Cell Tumor of Bone—CRIO2AR Project. Healthcare 2023, 11, 2629. https://doi.org/10.3390/healthcare11192629

AMA Style

D’Arienzo A, Scognamiglio B, Campo FR, Cosseddu F, Ruinato DA, Ipponi E, Carbone M, Condino S, Ferrari V, Andreani L, et al. Preliminary Results of Preoperative Planning Using 3D Printing and Augmented Reality in Cryotherapy Treatment of Giant Cell Tumor of Bone—CRIO2AR Project. Healthcare. 2023; 11(19):2629. https://doi.org/10.3390/healthcare11192629

Chicago/Turabian Style

D’Arienzo, Antonio, Branimir Scognamiglio, Francesco Rosario Campo, Fabio Cosseddu, Damiano Alfio Ruinato, Edoardo Ipponi, Marina Carbone, Sara Condino, Vincenzo Ferrari, Lorenzo Andreani, and et al. 2023. "Preliminary Results of Preoperative Planning Using 3D Printing and Augmented Reality in Cryotherapy Treatment of Giant Cell Tumor of Bone—CRIO2AR Project" Healthcare 11, no. 19: 2629. https://doi.org/10.3390/healthcare11192629

APA Style

D’Arienzo, A., Scognamiglio, B., Campo, F. R., Cosseddu, F., Ruinato, D. A., Ipponi, E., Carbone, M., Condino, S., Ferrari, V., Andreani, L., Capanna, R., & Parchi, P. D. (2023). Preliminary Results of Preoperative Planning Using 3D Printing and Augmented Reality in Cryotherapy Treatment of Giant Cell Tumor of Bone—CRIO2AR Project. Healthcare, 11(19), 2629. https://doi.org/10.3390/healthcare11192629

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