A5064990695- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- MRI in cancer diagnosis
- Sarcoma Diagnosis and Treatment
- Glioma Diagnosis and Treatment
- Radiation Dose and Imaging
- Topic Modeling
- Neuroblastoma Research and Treatments
- Hepatocellular Carcinoma Treatment and Prognosis
- Radiation Therapy and Dosimetry
- Medical Imaging Techniques and Applications
- Renal cell carcinoma treatment
- Pancreatic and Hepatic Oncology Research
- Salivary Gland Tumors Diagnosis and Treatment
- Liver Disease Diagnosis and Treatment
- Radiology practices and education
- Artificial Intelligence in Healthcare and Education
- Machine Learning in Healthcare
- Testicular diseases and treatments
University of Pisa
2022-2024
Purpose To perform a systematic review and meta-analysis assessing the predictive accuracy of radiomics in noninvasive determination isocitrate dehydrogenase (IDH) status grade 4 lower-grade diffuse gliomas. Materials Methods A search was performed PubMed, Scopus, Embase, Web Science, Cochrane Library databases for relevant articles published between January 1, 2010, July 7, 2021. Pooled sensitivity specificity across studies were estimated. Risk bias evaluated using Quality Assessment...
The objective of this study was to assess the inappropriateness rate oncological follow-up CT examinations.Out 7.000 oncology patients referred for examinations between March and October 2022, a random sample 10 % included. Radiology residents assessed appropriateness using Italian Society Medical Oncology (AIOM) guidelines, supervised by senior radiologists. Association clinical variables investigated influencing were analyzed through binary logistic regression.Three-hundred-eighty-eight...
Purpose The aims of this study were to evaluate the reproducibility a new multi-parametric steatoscore (new SteatoScore) in oncologic patients with non-alcoholic fatty liver disease (NAFLD) and compare it computed tomography (CT). Materials Methods Fifty-one (31 men, 20 women) patients, mean age weight 63.9 years 78.33 kg, respectively, retrospectively enrolled study. Patients underwent ultrasound (US) (CT) examinations as part their follow-up protocol. US performed by using 3.5-MHz convex...