A5056770477- Radiomics and Machine Learning in Medical Imaging
- Advanced Radiotherapy Techniques
- Head and Neck Cancer Studies
- Brain Metastases and Treatment
- Ear and Head Tumors
- Advanced X-ray and CT Imaging
- Radiation Therapy and Dosimetry
- MRI in cancer diagnosis
- Effects of Radiation Exposure
- Facial Nerve Paralysis Treatment and Research
- Photoacoustic and Ultrasonic Imaging
- Flavonoids in Medical Research
- Hearing, Cochlea, Tinnitus, Genetics
- Saffron Plant Research Studies
- Genetic Neurodegenerative Diseases
- Carcinogens and Genotoxicity Assessment
- Radiation Dose and Imaging
- Electron Spin Resonance Studies
- Orthopedic Surgery and Rehabilitation
- Ear Surgery and Otitis Media
- Radiology practices and education
- Optical Imaging and Spectroscopy Techniques
- Biochemical effects in animals
- Reconstructive Facial Surgery Techniques
- Aldose Reductase and Taurine
Iran University of Medical Sciences
2015-2024
PurposeTo establish the early prediction models of radiation-induced oral mucositis (RIOM) based on baseline CT-based radiomic features (RFs), dosimetric data, and clinical by machine learning for head neck cancer (HNC) patients.MethodsIn this single-center prospective study, 49 HNCs treated with curative intensity modulated radiotherapy (IMRT) were enrolled. Baseline CT images (i.e., simulation), dosimetric, collected. RIOM was assessed using CTCAE v.5.0. RFs extracted from...
The purpose of this study was to set four NTCP models on clinical data and develop a model that calculates the possibility hearing damage due irradiation healthy at-risk brainstem tissue.
The present study aimed to assess machine learning (ML) models according radiomic features predict ototoxicity using auditory brain stem responses (ABRs) in patients with radiation therapy (RT) for head-and-neck cancers.The ABR test was performed on 50 having RT. Radiomic were extracted from the computed tomography images generate a signature. Moreover, accuracy, sensitivity, specificity, area under curve, and mean cross-validation used evaluate six different ML models.Out of patients, 21...
The aim of this study was to generate the dose-response curves by six normal tissue complication probability (NTCP) models and ranking for prediction radiation induced sensorineural hearing loss (SNHL) caused head neck therapy (RT).Pure tone audiometry (PTA) performed on 70 ears patients 12 months after completion RT. SNHL defined as a threshold shift ≤15 dB at two contiguous frequencies according common toxicity criteria adverse events scoring system. evaluated were: Lyman Logit; Mean Dose;...
The purpose of this study was to assess and compare the incidence severity sensorineural hearing loss (SNHL) in head-and-neck patients undergoing radiotherapy (RT) concurrent cisplatin-based chemoradiotherapy (CRT).Pure tone audiometry (PTA) performed at 0.25-12 kHz on 35 RT 25 CRT after 12-month followed up. evaluated according Common Terminology Criteria for Adverse Events (CTCAE) criteria.SNHL increased 84% who had received CRT, compared with 26% increasing treated RT. There an risk SNHL...
Bell's palsy is an idiopathic peripheral nerve involving the facial nerve. It accounts for 60 to 75% of all cases unilateral paralysis. The main mechanisms induce BP remain unclear, but infection, ischemic condition and immunodeficiency may contribute development palsy. Accumulating evidence has shown several factors can trigger reactivation latent HSV including psychological stressors, physical stressors immunosuppression. Ionization non-ionization radiations are importance stressors. Some...
Purpose: We aimed to build a machine learning-based model predict radiation-induced optic neuropathy in patients who had treated head and neck cancers with radiotherapy.Materials Methods: To measure neuropathy, the visual evoked potential values were obtained both case control groups compared. The radiomics features extracted from area segmented by Swin UNETR version 2, which included right left nerves chiasm. ranked 5 supervised ML models Bernoulli Naive Bayes, Decision Tree, Gradient...
Background: Radiotherapy, a highly effective method of radiation-based treating cancers, can reduce the size tumors and affect healthy tissues. Radiation-induced lymphopenia as side effect radiation therapy effectiveness treatment.Objective: This study aimed to examine how taurine protect peripheral blood lymphocytes from apoptosis.Material Methods: In this experimental study, effects on were studied, samples divided into three groups: negative control group that was not treated, positive...
We aimed to build a machine learning-based model predict radiation-induced optic neuropathy in patients who had treated head and neck cancers with radiotherapy. To measure neuropathy, the visual evoked potential values were obtained both case control groups compared. Radiomics features extracted from area segmented which included right left nerves chiasm. integrated CT image dosimetric clinical data subsequently, ranked 5 supervised ML models Bernoulli Naive Bayes, Decision Tree, Gradient...
Purpose: Diagnosis of musculoskeletal abnormalities is critical because the large number people affected by these disorders worldwide. The recent advances in deep learning techniques show that convolutional neural networks can be a useful tool for computer-aided detection radiographic abnormalities. This study focuses on diagnosing lower extremities using X-Ray images architecture networks. Materials and Methods: dataset contains 61,098 images, including 42,658 normal 18,440 abnormal images....
Background: High-dose radiation altering the genetic material in patients’ bone marrow cells can lead to hematopoietic syndrome. Accordingly, presence of protections agents is critical preventing these adverse effects. Objective: This study aimed evaluate radioprotection exclusive or combination effect resveratrol and crocin extracts at various concentrations on irradiated human lymphocytes.Material Methods: In this experimental study, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium...
Given the potential risks of x rays in imaging, it is necessary to evaluate radiation safety medical x-ray imaging rooms and information radiographers. A descriptive study has been carried out Qazvin, Iran, form a questionnaire answered by radiography technologists private public centers assess level knowledge, attitude, performance about exposure against it. Afterward, doses areas were measured survey meter. checklist was also completed, containing items availability ventilation facilities...
The purpose of this study is to predict chronic kidney disease (CKD) in the radiotherapy abdominal cancers by evaluating clinical and functional assays normal tissue complication probability (NTCP) models.Radiation renal damage was analyzed 50 patients with 12 months after through a estimated glomerular filtration rate (eGFR). According common terminology criteria for scoring system adverse events, Grade 2 CKD (eGFR ≤30-59 ml/min/1.73 m2) considered as radiation therapy endpoint. Modeling...