İstanbul Sağlık ve Teknoloji Üniversitesi Kurumsal Akademik Arşivi
DSpace@İSTÜN, Üniversite mensupları tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Ultrasound-assisted sustainable processing of garden cress juice: Enhancing bioactive compounds and bioaccessibility through xgboost optimization
(American Chemical Society, 2025) Levent, Okan; Şimşek, Mehmet Ali; Yıkmış, Seydi; Demirel, Selinay; Tokatlı Demirok, Nazan; Türkol, Melikenur; Aljobair, Moneera; Tokatlı, Nazlı; Mohamed Ahmed, Isam A.
This study aimed to improve the functional and nutritional properties of garden cress (Lepidium sativum) juice using ultrasound and optimize process parameters by modeling them with advanced machine learning algorithms. Using a Box−Behnken experimental design, the effects of sonication time (8−16 min) and amplitude (60−100%) on total chlorophyll, total phenolic content (TPC), and ferric reducing antioxidant power (FRAP) were investigated. Nonparametric, high-accuracy estimations were made using the XGBoost algorithm. Optimum conditions were determined to be 12 min and 80% amplitude. Under these conditions, TPC (78.44 mg GAE/mL), FRAP (59.80 mg TE/mL), and chlorophyll (7.15 g/100 mL) values were significantly higher than those in control and pasteurized samples (p < 0.05). HPLC-DAD analysis showed that ultrasound treatment positively impacted the phenolic profile by increasing the release of quercetin, quercetin derivatives, caffeic acid, and chrysin. GC-MS data revealed that volatile aroma compounds (especially 1-hexanol, benzaldehyde, and cinnamaldehyde) were preserved mainly by ultrasound. In vitro digestion simulation showed that total postdigestion recovery rates in ultrasound-treated samples were 34.96% for TPC, 32.50% for chlorophyll, and 28.81% for FRAP, demonstrating a significant increase in bioaccessibility. PCA and hierarchical clustering analyses confirmed a significant biochemical separation of ultrasound-treated samples. The findings indicate that ultrasound technology is a superior method for preserving bioactive compounds, maintaining the aroma profile, and enhancing bioaccessibility compared to heat treatment. This enables data-driven process design. The developed model showed a strong predictive performance under optimal conditions. However, the study is limited by the relatively small data set used for model training.
Comparison of short- and long-term outcomes of diode laser vs. crystallized phenol treatment for pilonidal sinus disease: A propensity score-matched multicentre study
(Wiley, 2025) Bilgin, İsmail Ahmet; Ramoğlu, Nur; Saylık, Onur; Benlice, Çigdem; Erkaya, Metincan; Kurtul, İnci; Aghayeva, Afag; Turan, Ersin; Maden, Abdullah Sami; Acar, Fahrettin; Karahasanoğlu, Tayfun; Hamzaoğlu, İsmail; Baca, Bilgi; Doğru, Osman
Aim: Pilonidal sinus disease (PSD) primarily affects young adults; rapid recovery is essential and yet lacks a standardized treatment approach. While excisional techniques delay recovery, minimally invasive options like laser ablation and phenol application are gaining interest, yet comparative long-term evidence is scarce. This study compared short- and long-term outcomes of laser versus phenol treatment in PSD. Method: In this multicentre retrospective cohort study (Nov. 2017–Sep. 2024), patients treated with laser or phenol were included. 1:3 propensity score matching using the nearest neighbour algorithm was performed based on age, gender, prior surgical history and year of operation. Categorical variables were analysed using chi-squared or Fisher's exact tests, whereas continuous variables were compared using Student's t-test or Mann– Whitney U test depending on distribution normality. Results: Out of 897 eligible patients, 644 were included (median age: 26 years, body mass index [BMI]: 26.2 kg/m2 , male-to-female ratio: 4:1). The number of sinuses/pits was 2–3 in both groups. Operating time was significantly longer in the laser group. Complications occurred in 6.8% of laser patients, whereas none were reported in the phenol group. Pain scores were higher in the laser group (2 [1–3] vs. 1 [0–2]). Median follow-up was 45 months (laser) and 40 months (phenol). Return to daily activities was delayed in the laser group, whereas complete healing was slower in the phenol group. Readmission, recurrence and recovery rates were comparable (85%–86%). Conclusion: Both treatments demonstrated low complication and recurrence rates with high recovery rates. Laser favoured faster healing and fewer sessions, whereas phenol allowed for shorter procedures and earlier return to daily life.
Investigation of the effects of melatonin on granulosa cell proliferation and DNA methylation
(Proceedings of the Bulgarian Academy of Sciences, 2025) Türkmen, Ervanur; Gündoğan, Gül İpek; Arslan, Halil İbrahim; Gök Yurttaş, Asiye; Elgün, Tuğba
Melatonin, a pineal hormone with antioxidant and regulatory functions, has emerged as a key modulator of ovarian physiology. Its presence in fol licular fluid suggests important roles in granulosa cell function, follicle devel opment, and reproductive outcomes. However, its effects on granulosa cell tumour (GCT) biology and epigenetic regulation remain insufficiently defined. This study aimed to investigate the effects of melatonin on proliferation and global DNA methylation in human granulosa tumour cells (COV434) com pared with healthy endothelial controls (HUVECs). COV434 and HUVEC cells were treated with melatonin at 1, 10, 100, and 1000 µM. Cell viabil ity and proliferation were assessed using the MTT [3-(4.5-dimethylthiazol-2- yl)-diphenyl tetrazolium bromide] (Cambridge, UK) assay and xCELLigence RTCA system (Roche), while DNA methylation was quantified with a 5-mC ELISA kit (Epigentek Group Inc, USA). Experimental groups included nega tive, sham, melatonin-treated, and positive controls. Melatonin showed a cell type-dependent effect. In COV434 cells, proliferation was significantly inhib ited, with an IC50 of 10.55 µM, whereas HUVECs displayed increased prolifer ation at higher doses. DNA methylation levels decreased in both cell types in a dose-dependent manner, reaching the highest significance in COV434 cells at 1000 µM (p < 0.001). In conclusion, melatonin demonstrated a dose-dependent inhibitory effect on COV434 cell proliferation while simultaneously reducing global DNA methylation levels.
Origin-order classification of axillary third-part branching: Donor-based dissection–CTA correlation for surgical planning
(Springer Nature Link, 2025) Temizsoy Korkmaz, Fulya; Coşkun, Osman; Gürses, İlke Ali; Gayretli, Özcan; Özdemir, Sevim; Öztürk, Adnan; Kale, Ayşin
Purpose Variations in the branching of the subscapular artery (SSA), anterior circumflex humeral artery (ACHA), and posterior circumflex humeral artery (PCHA) are directly relevant to reconstructive planning with subscapular-system flaps and to humeral-head perfusion in shoulder surgery. Evidence organized around an origin-order–based framework remains limited. We aimed to address this gap by comparing body-donor dissections and computed tomography angiography (CTA) to provide a clinically useful classification and morphometric reference. Methods We performed a two-arm cross-sectional morphometric study: body-donor dissection (28 donors; bilateral, 56 sides) and CTA (25 patients; bilateral, 50 sides). In total, 104 sides were evaluated; 96 were classifiable. Classification used the sequential SSA–ACHA–PCHA origin order and common-trunk presence. Ostial diameters and SSA → CSA distances were measured; the radial nerve (NR)–SSA relationship was assessed in donors. origin_order__five_type_classif… Results In donors, Type-1, -2, -3, and -4 accounted for 36.5%, 32.7%, 23.1%, and 7.7%, respectively; Type-5 was absent. In CTA, Type-1, -4, and -5 comprised 93.2%, 2.3%, and 4.5% (one bilateral case); Types-2/-3 were not observed. Inter-modality comparison showed a longer SSA → CSA distance and smaller TDA/CSA diameters in CTA (all p < 0.001), while the SSA ostial diameter was similar. A posterior NR course relative to the SSA was associated with a longer SSA → CSA distance (p = 0.026). Conclusion An origin-order–based classification, corroborated across dissection and CTA, yields a practical map for (i) single-pedicle harvesting within the subscapular system and chimeric flap design, and (ii) avoiding iatrogenic compromise of humeral-head vascularity during shoulder procedures. Incorporating presurgical CTA mapping of the SSA and its branches may enhance safety where variants (e.g., short/combined trunks, rare Type-5) are suspected.
Braindetective: An advanced deep learning application for early detection, segmentation and classification of brain tumours using MRI images
(Springer Nature Link, 2025) Tokatlı, Nazlı; Bayram, Mücahit; Ogur, Hatice; Kılıç, Yusuf; Han, Vesile; Batur, Kutay Can; Altun, Halis
This study aims to create deep learning models for the early identification and classification of brain tumours. Models like U-Net, DAU-Net, DAU-Net 3D, and SGANet have been used to evaluate brain MRI images accurately. Magnetic resonance imaging (MRI) is the most commonly used method in brain tumour diag nosis, but it is a complicated procedure due to the brain’s complex structure. This study looked into the ability of deep learning architectures to increase the accuracy of brain tumour diagnosis. We used the BraTS 2020 dataset to segment and classify brain tumours. The U-Net model designed for the project achieved an accuracy rate of 97% with a loss of 47%, DAU-Net reached 90% accuracy with a loss of 33%, DAU-Net 3D achieved 99% accuracy with a loss of 35%, and SGANet achieved 99% accuracy with a loss of 20%, all demonstrating effective outcomes. These find ings aim to improve patient care quality by speeding up medical diagnosis processes using computer-aided technology. Doctors can detect 3D tumours from MRI pictures using software developed as part of the research. The work packages correctly han dled project management throughout the study’s data collection, model creation, and evaluation stages. Regarding brain tumour segmentation, 3D U-Net architecture with multi-head attention mechanisms provides doctors with the best tools for planning surgery and giving each patient the best treatment options. The user-friendly Turkish interface enables simple MRI picture uploads and quick, understandable findings.
