Radiographic volume analysis as a novel tool to determine nasopalatine duct cyst dimensions and its association with presenting symptoms and postoperative complications

Suter, Valerie ; Warnakulasuriya, Saman ; Reichart, Peter ; Bornstein, Michael

In: Clinical Oral Investigations, 2015, vol. 19, no. 7, p. 1611-1618

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    Summary
    Objectives: The aims of the study were to use cone beam computed tomography (CBCT) images of nasopalatine duct cysts (NPDC) and to calculate the diameter, surface area, and 3D-volume using a custom-made software program. Furthermore, any associations of dimensions of NPDC with age, gender, presence/absence of maxillary incisors/canines (MI/MC), endodontic treatment of MI/MC, presenting symptoms, and postoperative complications were evaluated. Material and Methods: The study comprised 40 patients with a histopathologically confirmed NPDC. On preoperative CBCT scans, curves delineating the cystic borders were drawn in all planes and the widest diameter (in millimeter), surface area (in square millimeter), and volume (in cubic millimeter) were calculated. Results: The overall mean cyst diameter was 15mm (range 7-47mm), the mean cyst surface area 566mm2 (84-4,516mm2), and the mean cyst volume 1,735mm3 (65-25,350mm3). For 22 randomly allocated cases, a second measurement resulted in a mean absolute aberration of ±4.2% for the volume, ±2.8% for the surface, and ±4.9% for the diameter. A statistically significant association was found for the CBCT determined cyst measurements and the need for preoperative endodontic treatment to MI/MC and for postoperative complications. Conclusion: In the hands of a single experienced operator, the novel software exhibited high repeatability for measurements of cyst dimensions. Further studies are needed to assess the application of this tool for dimensional analysis of different jaw cysts and lesions including treatment planning. Clinical relevance: Accurate radiographic information of the bone volume lost (osteolysis) due to expansion of a cystic lesion in three dimensions could help in personalized treatment planning.