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Volumetric Analysis and Healing Ratio: Refining Prognostic Assessment in Maxillofacial Cysts Using Cone-Beam Computed Tomography.

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Názov: Volumetric Analysis and Healing Ratio: Refining Prognostic Assessment in Maxillofacial Cysts Using Cone-Beam Computed Tomography.
Autori: Kulkarni, Vishal, Kumar, C. Senthil, Mishra, Madan, Shetty, Lakshmi, Verma, Pradhuman, Ghosh, Sirsendu, Koul, Rahul
Zdroj: Journal of Maxillofacial & Oral Surgery; Jun2024, Vol. 23 Issue 3, p676-687, 12p
Abstrakt: Introduction: Volumetric analysis with imaging techniques provides clinicians with the capability to visualize the spatial extent of the lesions. CBCT offers images with minimal radiation, facilitating a detailed assessment of cystic dimension's relationships. This crucial information helps in formulating appropriate strategies, including excision, enucleation, or nonsurgical approaches. The "Healing ratio" emerges as a valuable technique for prognostic evaluation. Materials and Methods: This retrospective study focused on outpatient cases with, clinic-radiologically diagnosed cases of odontogenic keratocyst or radicular cysts. Preoperative CBCT was utilized for volumetric analysis through MIMIC Software. Subsequent analyses were performed at 24 and 48 weeks postoperatively. The healing ratio was calculated for further correlation. Results: A total of 21 cases were included in the study, with a mean age of 36.67 years with predominance of males (72.6%, n = 16). Healing ratio estimation revealed minimal or no association with age, gender, and location on point-biserial analysis. Noteworthy implications were observed concerning total cyst volume and the specific diagnosis of the cyst. Results suggested more favorable healing outcomes in smaller cysts and those diagnosed as radicular cysts. Discussion: Proficiency in deciphering three-dimensional CBCT images accurately demands specialized training. The crux of our study lies in the application of volumetric analysis, particularly the "Healing Ratio," as a robust means of evaluating prognoses in management. The Healing Ratio, derived from three-dimensional imaging techniques, offers a comprehensive insight into the spatial dynamics of cystic lesions. Our findings underscore its significance as the optimal technique for prognostic assessment in the context of cyst management. [ABSTRACT FROM AUTHOR]
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Abstrakt:Introduction: Volumetric analysis with imaging techniques provides clinicians with the capability to visualize the spatial extent of the lesions. CBCT offers images with minimal radiation, facilitating a detailed assessment of cystic dimension's relationships. This crucial information helps in formulating appropriate strategies, including excision, enucleation, or nonsurgical approaches. The "Healing ratio" emerges as a valuable technique for prognostic evaluation. Materials and Methods: This retrospective study focused on outpatient cases with, clinic-radiologically diagnosed cases of odontogenic keratocyst or radicular cysts. Preoperative CBCT was utilized for volumetric analysis through MIMIC Software. Subsequent analyses were performed at 24 and 48 weeks postoperatively. The healing ratio was calculated for further correlation. Results: A total of 21 cases were included in the study, with a mean age of 36.67 years with predominance of males (72.6%, n = 16). Healing ratio estimation revealed minimal or no association with age, gender, and location on point-biserial analysis. Noteworthy implications were observed concerning total cyst volume and the specific diagnosis of the cyst. Results suggested more favorable healing outcomes in smaller cysts and those diagnosed as radicular cysts. Discussion: Proficiency in deciphering three-dimensional CBCT images accurately demands specialized training. The crux of our study lies in the application of volumetric analysis, particularly the "Healing Ratio," as a robust means of evaluating prognoses in management. The Healing Ratio, derived from three-dimensional imaging techniques, offers a comprehensive insight into the spatial dynamics of cystic lesions. Our findings underscore its significance as the optimal technique for prognostic assessment in the context of cyst management. [ABSTRACT FROM AUTHOR]
ISSN:09728279
DOI:10.1007/s12663-024-02168-7