Advances in assessing the volume of odontogenic cysts and tumors in the mandible: a retrospective clinical trial

Stoetzer, Marcus; Nickel, Florian T.; Rana, Majeed; Lemound, Juliana; Wenzel, Daniela; See, Constantin von; Gellrich, Nils‐Claudius

doi:10.1186/1746-160x-9-14

Cited by 16 publications

(13 citation statements)

References 12 publications

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“…, Stoetzer et al . ) to enhance the visualization of other clinical conditions. The calculation of the lesion's volume is frequently considered a complementary analysis in the image‐based diagnosis through multiplanar reconstructions.…”

Section: Discussionmentioning

confidence: 99%

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CBCT‐based volume of simulated root resorption – influence of FOV and voxel size

et al. 2014

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Section: Discussionmentioning

confidence: 99%

“…, Stoetzer et al . ). The analysis is facilitated by specific software‐based tools that can calculate volumes from CBCT data.…”

Section: Introductionmentioning

confidence: 97%

CBCT‐based volume of simulated root resorption – influence of FOV and voxel size

et al. 2014

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“…It is a helpful additional process in preoperative diagnosis. 8 The accuracy of segmentation relies on the grey value and threshold value defined by the operator. Periradicular cyst variability and the frequent absence of a strong grey gradient near their boundaries make the segmentation step difficult, which leads to an overextension of the segmentation beyond the limits of the lesion with the semi-automatic procedure.…”

Section: Discussionmentioning

confidence: 99%

“…4,7 In the field of dento-maxillary osteolytic images, radicular cysts are the main diagnosis for jaw cysts and cyst-like lesions of the mandible, accounting for .50% of cases. 8 Most non-healing lesions submitted for biopsy are classified as granulomas or cysts (73% of cases). 9 Radicular cysts are inflammatory disorders of the periradicular tissues, caused by persistent microbial infection of the root canal system of the affected teeth.…”

Section: Introductionmentioning

confidence: 99%

3D dento-maxillary osteolytic lesion and active contour segmentation pilot study in CBCT: semi-automaticvsmanual methods

Vallaeys¹,

Kacem²,

Legoux³

et al. 2015

Dentomaxillofacial Radiology

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Objectives: This study was designed to evaluate the reliability of a semi-automatic segmentation tool for dento-maxillary osteolytic image analysis compared with manually defined segmentation in CBCT scans. Methods: Five CBCT scans were selected from patients for whom periapical radiolucency images were available. All images were obtained using a ProMax® 3D Mid Planmeca (Planmeca Oy, Helsinki, Finland) and were acquired with 200-mm voxel size. Two clinicians performed the manual segmentations. Four operators applied three different semi-automatic procedures. The volumes of the lesions were measured. An analysis of dispersion was made for each procedure and each case. An ANOVA was used to evaluate the operator effect. Non-paired t-tests were used to compare semi-automatic procedures with the manual procedure. Statistical significance was set at a 5 0.01. Results: The coefficients of variation for the manual procedure were 2.5-3.5% on average. There was no statistical difference between the two operators. The results of manual procedures can be used as a reference. For the semi-automatic procedures, the dispersion around the mean can be elevated depending on the operator and case. ANOVA revealed significant differences between the operators for the three techniques according to cases. Conclusions: Region-based segmentation was only comparable with the manual procedure for delineating a circumscribed osteolytic dento-maxillary lesion. The semi-automatic segmentations tested are interesting but are limited to complex surface structures. A methodology that combines the strengths of both methods could be of interest and should be tested. The improvement in the image analysis that is possible through the segmentation procedure and CBCT image quality could be of value.

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“…Small odontogenic cysts are often found accidentally when X–rays are taken before removal of the impacted teeth or before the root canal therapy (Lin et al, ). As the volume of the cyst increases, the jaw is destroyed, thus decreasing the amount of bone under the teeth, loosening the teeth, and affecting the chewing function (Stoetzer et al, ). Clinically, primary excision of cysts is usually performed for cysts with a maximum diameter of less than 3 cm (Enislidis, Fock, Sulzbacher, & Ewers, ).…”

Section: Introductionmentioning

confidence: 99%

Comparison of wall removal type versus wall retaining type of decompression for treating large mandibular odontogenic cysts

Wang

et al. 2020

Oral Diseases

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Objective To evaluate the differences between two types of decompression for treating large mandibular odontogenic cysts. Materials and methods This retrospective, cohort study included patients who were diagnosed for large mandibular odontogenic cysts from January 2015 to April 2018 and underwent two different types of decompression based on removal or retention of the cyst wall. The primary outcome was the percentage of the residual cyst area within 1 year after surgery. We used the propensity score matching (PSM) to balance the covariates of the two groups, and the primary outcome was analyzed by the non–inferiority test. Results A total of 93 cases were included in our study. After 1 year, the wall removal group was non–inferior to the wall retaining group in terms of cyst area, cyst volume, and the difference between the HU values of the original cyst region and the normal mandible. In subgroup analysis, we found there were no differences between two groups in the percentage of patients in whom the cystic area was reduced by 90% after 1 year. Conclusion Our findings suggest that the wall removal group showed better results than the cyst wall retaining group in large mandibular odontogenic cysts.

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Advances in assessing the volume of odontogenic cysts and tumors in the mandible: a retrospective clinical trial

Cited by 16 publications

References 12 publications

CBCT‐based volume of simulated root resorption – influence of FOV and voxel size

CBCT‐based volume of simulated root resorption – influence of FOV and voxel size

3D dento-maxillary osteolytic lesion and active contour segmentation pilot study in CBCT: semi-automaticvsmanual methods

Comparison of wall removal type versus wall retaining type of decompression for treating large mandibular odontogenic cysts

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