Yazar "Bülbül, Hande Melike" için listeleme
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Assessing ChatGPT’s summarization of 68Ga PSMA PET/CT reports for patients
Bülbül, Ogün; Bülbül, Hande Melike; Kaba, Esat (Springer, 2024)Purpose: ChatGPT has recently been the subject of many studies, and its responses to medical questions have been successful. We examined ChatGPT-4’s evaluation of structured 68Ga prostate-specific membrane antigen (PSMA) ... -
Contribution of F-18 fluorodeoxyglucose PET/CT and contrast-enhanced thoracic CT texture analyses to the differentiation of benign and malignant mediastinal lymph nodes
Bülbül, Ogün; Bülbül, Hande Melike; Tertemiz, Kemal Can; Kaya, Gamze Çapa; Gürel, Duygu; Ulukuş, Emine Çağnur; Gezer, Naciye Sinem (Sage Publications, 2022)Background Texture analysis and machine learning methods are useful in distinguishing between benign and malignant tissues. Purpose To discriminate benign from malignant or metastatic mediastinal lymph nodes using F-18 ... -
Glioblastoma with unusual features: presentation with intracerebral hematoma, diagnosis with CT perfusion and subsequent cerebral venous sinus thrombosis with resultant new hemorrhage
Bülbül, Hande Melike; Men, Süleyman; Karabay, Nuri; Danyeli, Ayça Ersen; Özer, Ercan (Erciyes University Faculty of Medicine, 2023)Background: During the course of primary malignant brain tumors, there is an increased tendency for both intracerebral hemorrhage and venous sinus thrombosis.Case Report: A 63-year-old man presented with a headache, and a ... -
Preoperative assessment of grade, T stage, and lymph node involvement: machine learning-based CT texture analysis in colon cancer
Bülbül, Hande Melike; Burakgazi, Gülen; Kesimal, Uğur (Springer, 2023)Purpose To investigate whether texture analysis of primary colonic mass in preoperative abdominal computed tomography (CT) scans of patients diagnosed with colon cancer could predict tumor grade, T stage, and lymph node ... -
Radiomics-based machine learning in the differentiation of benign and malignant bowel wall thickening radiomics in bowel wall thickening
Bülbül, Hande Melike; Burakgazi, Gülen; Kesimal, Uğur; Kaba, Esat (Springer, 2024)PurposeTo distinguish malignant and benign bowel wall thickening (BWT) by using computed tomography (CT) texture features based on machine learning (ML) models and to compare its success with the clinical model and combined ... -
Relationships between dce-mri, dwi, and18f-fdg pet/ct parameters with tumor grade and stage in patients with head and neck squamous cell carcinoma
Bülbül, Hande Melike; Bülbül, Ogün; Sarıoğlu, Sülen; Özdoğan, Özhan; Doğan, Ersoy; Karabay, Nuri (Galenos Yayıncılık, 2021)Objectives: Properties of head and neck squamous cell carcinoma (HNSCC) such as cellularity, vascularity, and glucose metabolism interact with each other. This study aimed to investigate the associations between ...
