The evaluation of the mandibular bone structure changes related to lactation with fractal analysis

Coşgunarslan, Aykağan; Canger, Emin Murat; Çabuk, Damla Soydan; Kış, Hatice Cansu

doi:10.1007/s11282-019-00400-6

Cited by 23 publications

(12 citation statements)

References 29 publications

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“…In fact, the findings of the present study indicated that fractal analysis could detect the bone alterations of moderate and severe periodontitis. Several studies have been performed using fractal analysis as a tool for evaluation of bone structure for different conditions and purposes, ranging from evaluation of dental implants [ 18 , 19 ], temporomandibular disorders [ 20 ], and bruxism [ 21 ] to effects of celiac disease [ 22 ] and lactation [ 23 ] on mandibular bone structure. The present study was an attempt to incorporate fractal analysis in detection of periodontitis which is a common dental condition.…”

Section: Discussionmentioning

confidence: 99%

Application of Fractal Analysis in Detecting Trabecular Bone Changes in Periapical Radiograph of Patients with Periodontitis

Soltani

Sami

Yaghini

et al. 2021

International Journal of Dentistry

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Introduction. Evaluation of detailed features of the supporting bone is an important step in diagnosis and treatment planning for teeth with clinical attachment loss. Fractal analysis can be used as a method for evaluating the complexity of trabecular bone structures. The aim of this study was to evaluate the trabecular bone changes in periapical radiographs of patients with different stages of periodontitis using fractal analysis. Methods. This comparative cross-sectional study was performed on patients with and without clinical attachment loss in mandibular first molars. Teeth with clinical attachment loss were divided into mild, moderate, and severe periodontitis groups. Digital periapical radiographs were obtained from the mandibular first molars using the same exposure parameters. DICOM file of the radiographs was exported to ImageJ software for fractal analysis. Three regions of interest (ROIs) were considered in each radiograph: two proximal ROIs mesial and distal to the mandibular first molar and one apical ROI. Fractal dimension (FD) values were calculated using the fractal box counting approach. Statistical analysis was performed using the chi-square test, Mann–Whitney test, intraclass correlation coefficient, and ANOVA (α = 0.05). Results. FD values were significantly different between moderate and severe periodontitis and healthy periodontal bone ( P < 0.05 ), except for the distal ROI for moderate periodontitis cases ( P = 0.280 ). However, FD values of the supporting bone in periodontally healthy teeth and teeth with mild periodontitis did not show a statistically significant difference ( P > 0.05 ). Conclusion. Fractal analysis is a useful tool for evaluation of bone alterations in moderate and severe periodontitis, but was not able to detect the most initial radiographic bone signs of mild periodontitis.

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Section: Discussionmentioning

confidence: 99%

Application of Fractal Analysis in Detecting Trabecular Bone Changes in Periapical Radiograph of Patients with Periodontitis

Soltani

Sami

Yaghini

et al. 2021

International Journal of Dentistry

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“…Coşgunarslan et al [11] evaluated 240 DPRs of lactating (3-6 months duration) and nulliparous women by the fractal box counting method and found a significant difference between the FD values of the cancellous bone but no significant difference between the FD values of the cortical bones. This observation may have resulted from the fact that fractals affect cortical bone much later than the cancellous bone.…”

Section: Discussionmentioning

confidence: 99%

“…Previously, fractal analysis has been reported as a useful method to detect various diseases that affect the trabecular bone structure [4][5][6]. Especially in the field of dentistry, studies have indicated that fractal analysis by the box counting method can successfully evaluate trabecular changes in the mandible of patients with osteoporosis [7][8][9] and periodontal diseases [10] and in lactating women [11]. Furthermore, studies have been conducted to determine the changes in trabecular bone induced by surrounding bone tissues of implants [12][13][14][15].…”

Section: Backgroundsmentioning

confidence: 99%

Evaluation of the peri-implant bone trabecular microstructure changes in short implants with fractal analysis

Kış

Gürbulak

2020

Int J Implant Dent

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Backgrounds: This study aimed to evaluate the microstructural changes in the peri-implant bone in patients with short implants in terms of implant survival status by using fractal analysis measurements. Results: Dental panoramic radiographs (DPRs) of 67 patients were examined and included in this study. Fractal analysis and measurement of the crown-implant ratio were performed with ImageJ. The fractal analysis measurement was performed on the DPRs obtained at preoperative (FD0) and in the follow-up periods (after 2 ± 2 weeks (FD1), 2 months ± 2 weeks (FD2), 6 months ± 2 weeks (FD3), and 12 months + (FD4)). A p value < 0.05 was considered statistically significant. Power analyses were conducted for the test results that did not reject null hypothesis. A significant difference was found in the FD1 and FD2 values between the implant survival groups (p < 0.001 and p = 0.023, respectively). The mean FD1 and FD2 values of the success group were significantly higher than those of the failure group. Conclusions: Fractal analysis is a useful method to measure the trabecular microstructure of bone in non-standardized dental radiographs. The present study has a low power to reject the null hypothesis because of the low number of cases of implant failure. Therefore, further study with a large sample size is warranted. In clinical practice, the survival of implants may be predicted by analyzing fractal dimension of the surrounding trabecular bone of the implants.

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“…For digital image processing, two ROIs measuring 64 x 64 pixels were selected within the trabecular bone (Kato et al, 2019). ROI1 and ROI2 were specified as the geometric center of the mandibular angle and ramus, respectively (Coşgunarslan, Canger, Soydan Çabuk, & Kış, 2020) (Figure 1). The FA was carried out using the box-counting method (White & Rudolph, 1999).…”

Section: Methodsmentioning

confidence: 99%

Age and sex estimation using fractal analysis in Brazilian adults: a discriminant analysis

Menezes

Dinísio

Oliveira

et al. 2021

RSD

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This study assessed the accuracy of fractal analysis (FA) to estimate chronological age and sex in Brazilian adults for forensic investigations. The gender-balanced sample comprised lateral cephalometric radiographs of 120 individuals, stratified according to age (20-29, 30-39, 40-49, 50-59 years) and sex (female and male). A trained calibrated examiner measured the fractal dimension (FD) of the mandibular ramus and mandibular angle. Linear regression and multiple logistic discriminant analysis were carried out to explore the accuracy of FA. For all analyses, p-values < .05 indicated statistical significance. Overall, mean FD values were 1.49±0.10 for the mandibular ramus and 1.48±0.09 for mandibular angle. Results were more accurate in males than females for discriminating age and sex. The multiple discriminant analysis indicated that FA distinguished sex in 61.7% males and 58.3% females. In addition, the mean difference between actual and predicted value was 9.5 years and 10.1 years for men and women, respectively. Fractal analysis accurately identified sex- and age-related differences in the trabecular pattern of the mandible of Brazilian adults, confirming its utility for forensic investigations. Further studies investigating other populations are needed to assess the accuracy of FA for Forensic Dentistry.

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The evaluation of the mandibular bone structure changes related to lactation with fractal analysis

Cited by 23 publications

References 29 publications

Application of Fractal Analysis in Detecting Trabecular Bone Changes in Periapical Radiograph of Patients with Periodontitis

Application of Fractal Analysis in Detecting Trabecular Bone Changes in Periapical Radiograph of Patients with Periodontitis

Evaluation of the peri-implant bone trabecular microstructure changes in short implants with fractal analysis

Age and sex estimation using fractal analysis in Brazilian adults: a discriminant analysis

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