Oguz Kose

Dr. Oguz Kose

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 January 2024 in BMC Oral Health
Verified
Journal Article
Open access
PDF file
SBSevda Kurt Bayrakdar
Sevda Kurt Bayrakdar
IBIBRAHIM SEVKI BAYRAKDAR
IBRAHIM SEVKI BAYRAKDAR
MYMuhammet Burak Yavuz
Muhammet Burak Yavuz
NSNichal Sali
Nichal Sali
ÖÇÖzer Çelik
Özer Çelik
KOKaan Orhan
Kaan Orhan
Background: This retrospective study aimed to develop a deep learning algorithm for the interpretation of panoramic radiographs and to examine the performance of this algorithm in the detection of periodontal bone losses and bone loss patterns. Methods: A total of 1121 panoramic radiographs were used in this study. Bone losses in the maxilla and mandibula (total alveolar bone loss) (n = 2251), interdental bone losses (n = 25303), and furcation defects (n = 2815) were labeled using the segmentation method. In addition, interdental bone losses were divided into horizontal (n = 21839) and vertical (n = 3464) bone losses according to the defect patterns. A Convolutional Neural Network (CNN)-based artificial intelligence (AI) system was developed using U-Net architecture. The performance of the deep learning algorithm was statistically evaluated by the confusion matrix and ROC curve analysis. Results: The system showed the highest diagnostic performance in the detection of total alveolar bone losses (AUC = 0.951) and the lowest in the detection of vertical bone losses (AUC = 0.733). The sensitivity, precision, F1 score, accuracy, and AUC values were found as 1, 0.995, 0.997, 0.994, 0.951 for total alveolar bone loss; found as 0.947, 0.939, 0.943, 0.892, 0.910 for horizontal bone losses; found as 0.558, 0.846, 0.673, 0.506, 0.733 for vertical bone losses and found as 0.892, 0.933, 0.912, 0.837, 0.868 for furcation defects (respectively). Conclusions: AI systems offer promising results in determining periodontal bone loss patterns and furcation defects from dental radiographs. This suggests that CNN algorithms can also be used to provide more detailed information such as automatic determination of periodontal disease severity and treatment planning in various dental radiographs.

1 May 2016 in Journal of Periodontology
Verified
Journal Article
Closed access
OKOguz Kose
Oguz Kose
TATaner Arabaci
Taner Arabaci
AKAdem Kara
Adem Kara
HYHatice Yemenoglu
Hatice Yemenoglu
EKEda Kermen
Eda Kermen
SOSeckin Ozkanlar
Seckin Ozkanlar
Background: The aim of this study is to evaluate the effects of systemic melatonin treatment on serum oxidative stress index (OSI) and alveolar bone loss (ABL) in rats with diabetes mellitus (DM) and periodontitis.Methods: Seventy Sprague Dawley rats were divided into control, experimentally induced periodontitis (EP), DM, EP‐DM, EP and melatonin treatment (EP‐MEL), DM and melatonin treatment (DMMEL), and EP‐DM‐MEL groups. DM was induced by alloxan, after which periodontitis was induced by ligature for 4 weeks. After removal of the ligature, the rats in the melatonin groups (EP‐MEL, DM‐MEL, and EP‐DM‐MEL) were treated with a single dose of melatonin (10 mg/body weight) every day for 14 consecutive days. At the end of the study, all of the rats were euthanized, and intracardiac blood samples and mandible tissues were obtained for biochemical and histologic analyses. Serum levels of total oxidant status/total antioxidant status and OSI were measured. In addition, neutrophil and osteoclast densities and myeloperoxidase activities were determined in gingival tissue homogenates, and ABL was evaluated with histometric measurements.Results: Melatonin treatment significantly reduced fasting plasma glucose levels in the rats with DM. In addition, reduced OSI and ABL levels were detected in the EP‐MEL and DM‐MEL groups; the reductions in the EP‐DM‐MEL group were found to be more prominent. Melatonin also significantly decreased the increased myeloperoxidase activities and osteoclast and neutrophil densities in the EP, DM, and EP‐DM groups.Conclusion: It is revealed in this experimental study that melatonin significantly inhibited hyperglycemia‐induced oxidative stress and ABL through antiDM and antioxidant effects in rats with DM and periodontitis.

30 March 2016 in Marine Drugs
Verified
Journal Article
Open access
PDF file
OKOguz Kose
Oguz Kose
TATaner Arabaci
Taner Arabaci
HYHatice Yemenoglu
Hatice Yemenoglu
AKAdem Kara
Adem Kara
SOSeckin Ozkanlar
Seckin Ozkanlar
ZDZeynep Yesil Duymus
Zeynep Yesil Duymus
The aim of this study was to evaluate the effects of systemic fucoxanthin treatment on alveolar bone resorption in rats with periodontitis. Thirty rats were divided into control, experimental periodontitis (EP), and experimental periodontitis-fucoxanthin (EP-FUCO) groups. Periodontitis was induced by ligature for four weeks. After removal of the ligature, the rats in the EP-FUCO group were treated with a single dose of fucoxanthin (200 mg/kg bw) per day for 28 consecutive days. At the end of the study, all of the rats were euthanized and intracardiac blood and mandible tissue samples were obtained for biochemical, immunohistochemical, and histometric analyses. Fucoxanthin treatment resulted in a slight decrease in tumor necrosis factor-α, interleukin-1β, and interleukin-6 levels and a significant decrease in oxidative stress index. It was observed that fucoxanthin caused a significant reduction in receptor activator of nuclear factor kappa-β ligand (RANKL) levels and a statistically non-significant elevation in osteoprotegerin and bone-alkaline phosphatase levels. There were no significant differences in alveolar bone loss levels between the EP and EP-FUCO groups. This experimental study revealed that fucoxanthin provides a limited reduction in alveolar bone resorption in rats with periodontitis. One of the mechanisms underlying the mentioned limited effect might be related to the ability of fucoxanthin to inhibit oxidative stress-related RANKL-mediated osteoclastogenesis.

17 November 2016 in Journal of Periodontal Research
Verified
Journal Article
Closed access
PDF file
OKOguz Kose
Oguz Kose
TAT. Arabacı
T. Arabacı
HYH. Yemenoglu
H. Yemenoglu
SOS. Ozkanlar
S. Ozkanlar
NKN. Kurt
N. Kurt
AKA. Kara
A. Kara

30 November 2020 in Journal of Periodontology
Verified
Journal Article
Closed access
PDF file
OKOguz Kose
Oguz Kose
SBSevda Kurt Bayrakdar
Sevda Kurt Bayrakdar
BUBüsra Unver
Büsra Unver
AAAhmet Altin
Ahmet Altin
KAKerimali Akyildiz
Kerimali Akyildiz
GKGöker Kuluslu
Göker Kuluslu

12 April 2020 in Journal of Periodontology
Verified
Journal Article
Closed access
PDF file
OKOguz Kose
Oguz Kose
SBSevda Kurt Bayrakdar
Sevda Kurt Bayrakdar
KAKerimali Akyıldız
Kerimali Akyıldız
AAAhmet Altın
Ahmet Altın
TATaner Arabacı
Taner Arabacı
AYAdnan Yılmaz
Adnan Yılmaz