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Pre-Operative Planning of a DCR Surgery Using Virtual Reality.
Priel, Ayelet; Hadida Barzilai, Dor; Tejman-Yarden, Shai; Vazhgovsky, Oliana; Sagiv, Oded; Yakirevitch, Arkadi; Nakache, Gabriel; Nagar, Nethanel; Kapelushnik, Noa; Shivatzki, Shaked; Cohen, Gal Yaakov; Knoller, Hadas; Zloto, Ofira.
Affiliation
  • Priel A; School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Hadida Barzilai D; Goldschleger Eye Institute, Sheba Medical Center, Ramat Gan, Israel.
  • Tejman-Yarden S; School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Vazhgovsky O; The Edmond J. Safra International Congenital Heart Center, Sheba Medical Center, Ramat Gan, Israel.
  • Sagiv O; The Engineering Medical Research Laboratory, Sheba Medical Center, Ramat Gan, Israel.
  • Yakirevitch A; School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Nakache G; The Edmond J. Safra International Congenital Heart Center, Sheba Medical Center, Ramat Gan, Israel.
  • Nagar N; The Engineering Medical Research Laboratory, Sheba Medical Center, Ramat Gan, Israel.
  • Kapelushnik N; School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Shivatzki S; The Edmond J. Safra International Congenital Heart Center, Sheba Medical Center, Ramat Gan, Israel.
  • Cohen GY; The Engineering Medical Research Laboratory, Sheba Medical Center, Ramat Gan, Israel.
  • Knoller H; School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Zloto O; Goldschleger Eye Institute, Sheba Medical Center, Ramat Gan, Israel.
Semin Ophthalmol ; : 1-4, 2024 Jul 19.
Article in En | MEDLINE | ID: mdl-39028204
ABSTRACT

PURPOSE:

To assess a novel Virtual Reality (VR) tool designed to enhance understanding of the nasal anatomy in patients eligible for DCR surgery.

METHODS:

Preoperative Computed Tomography (CT) scans of the orbit were obtained and loaded as DICOM (Digital Imaging and Communications in Medicine) files onto the D2P software (3D Systems Inc. Littleton, CO) for tissue segmentation and 3D model preparation. Segmentation was performed on several anatomical structures, including the skull, lacrimal sac, nasal septum, inferior and middle turbinate. The resulting 3D model was visualized using a VR headset. After completing the segmentation procedure, ten cases were evaluated by a panel of six surgeons, including both senior and resident physicians from ENT and oculoplastic specialties.

RESULTS:

The dataset under examination comprised images from 10 preoperative CT scans of the orbits of patients eligible for Endo-DCR. When evaluating the CT using the VR tool, in 73.3% of the cases ENT surgeons were right about the side of pathology, while only 43.3% ophthalmologists were right (chi-square, p = .018). In 72.8% of the cases ENT surgeons were evaluated right that there is a septum deviation, while only in 47.2% of the cases the ophthalmologists were right (chi-square, p = .094).When evaluating the CT using the VR tool, in 60% of the cases consultants were right about the pathology, while 57.7% of the residents were right (chi-square, p = .853). In 81.7% of the cases consultants were evaluated right that there is a septum deviation, while only in 58.3% of the cases the ophthalmologists were right (chi-square, p = .198).

DISCUSSION:

ENT surgeons, as well as consultants, interpreted the CT better than the ophthalmologists and residents. Surprisingly, the VR system did not help them to interpret the CT better. Further, more extensive studies should be done to build a VR system that assists in the correct interpretation of the preoperative CT before DCR surgery as well as during DCR surgery.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Semin Ophthalmol Journal subject: OFTALMOLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Semin Ophthalmol Journal subject: OFTALMOLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication: