Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 18 of 18 for “"MED/36 Diagnostica per immagini e radioterapia"”.
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Combination of CT-based Radiomics Features and Clinical Data for Predicting Tumor Genetic Profile in patients with Intrahepatic Cholangiocarcinoma
… included 90 patients (58 with NGS, 32 with FISH, median age 65). The most common genetic alterations were FGFR2 (20/90), IDH1 (10/58), and KRAS (9/58). Combined clinical-radiomic models showed the best performance in predicting FGFR2 (AUC = 0.892) and IDH1 status (AUC = 0.819), outperforming …
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CONTRAST-ENHANCED MAMMOGRAPHY: THE EMERGENT CONTRAST-ENHANCED BREAST IMAGING MODALITY
… retrospective analysis included CEM examinations performed for second-level assessment of suspicious mammographic findings. Three readers independently and blindly evaluated BPE on recombined CEM images and breast density on low-energy CEM images. Inter-reader reliability was estimated using …
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CLASSIFICATION OF PATIENTS WITH PAROTID CANCER USING DYNAMIC CONTRAST AND DIFFUSION EXAMINATIONS WITH RADIOMICS AND MACHINE LEARNING TECHNIQUES
… 41 patients (19 male, 22 female, age 18–88, median 59.4) with parotid gland lesions (10 W, 15 A and 18 M) who underwent a neck MRI examination at San Paolo Hospital of Milan between April 2020 and July 2023 and histopathologically-confirmed. In total, 13 radiomics features were extracted from …
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IN VIVO IMAGING OF STEM CELL MEDIATED TREATMENT IN A MOUSE MODEL OF SPINAL CORD INJURY
Introduction: The use of adult stem cells in cell-mediated therapies is an area of considerable interest within tissue regeneration research. However, important variables such as the distribution of the injected cells, cell survival, target organ localisation cell proliferation and differentiation …
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RADIOMICS FOR OUTCOME PREDICTION IN EARLY-STAGE NON-SMALL CELL LUNG CANCER PATIENTS TREATED WITH STEREOTACTIC BODY RADIOTHERAPY (SBRT): METHODOLOGICAL CHALLENGES AND CLINICAL APPLICATIONS
… fields of biology, computational sciences, and medical engineering. This has laid the foundation for the incorporation of high-throughput data, deriving from different sources, including medical images, histopathological samples, and blood. Of these, quantitative imaging-derived biomarkers …
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Assessing functional connectivity in the newborn brain using fNIRS
… within the first 48 hours of life. The study aimed to examine its emergence, for the first time, using optical imaging on newborns immediately after birth. While the majority of fMRI literature focused on large-scale spatial patterns, I took a different approach measuring an intrinsic and …
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DETECTION AND QUANTIFICATION OF BREAST ARTERIAL CALCIFICATION AS A BIOMARKER OF CARDIOVASCULAR RISK IN WOMEN
… of Monckeberg’s sclerosis involving the tunica media of medium-caliber breast arteries, present as a promising sex-specific cardiovascular risk biomarker. BAC are observed in around 13% of mammograms and are associated with hypertension and increasing age. Interestingly, BAC have not shown any …
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THE USE OF THE CONE-BEAM COMPUTED TOMOGRAPHY FUSION IMAGING AND OF DEDICATED SOFTWARE FOR ABLATION VOLUME PREDICTION IN PERCUTANEOUS MICROWAVE ABLATION OF LIVER PRIMARY TUMORS
… clinical impact of a protocol for image-guided percutaneous thermal ablation of primary liver tumors that involves the use of cone-beam computed tomography (CBCT), fusion imaging and of a software for ablation volume prediction. Materials and Methods This study included 80 consecutive patients …
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HYBRID DEEP LEARNING AND RADIOMICS MODELS FOR ASSESSMENT OF CLINICALLY RELEVANT PROSTATE CANCER
Precision medicine holds the potential to revolutionize healthcare by providing every patient with personalized treatments and decisions tailored to his or her individual needs. This might be enabled by the large influx of potentially diagnostic information from new sources such as genetics and …
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NEW ADVANCES IN QUANTITATIVE RADIOLOGY: RADIOMICS IN NEURORADIOLOGY APPLIED TO PRIMARY BRAIN TUMORS USING A MACHINE LEARNING APPROACH
… model, using arterial-spin labelling (ASL) perfusion imaging. Methods: Retrospective single-institution study in a cohort of 52 glioma patients. Radiomics-based models with a minimal set of relevant features and clinical parameters were built for MGMT methylation and IDH-mutation prediction …
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ARTIFICIAL INTELLIGENCE FOR DETECTION AND QUANTIFICATION OF BREAST ARTERIAL CALCIFICATIONS ON MAMMOGRAMS AS A BIOMARKER OF CARDIOVASCULAR DISEASE
… sclerosis expression involving within the tunica media of breast arteries and detectable as parallel line opacities on about 13% of routine mammograms. They have been shown to be associated with an elevated hazard of cardiovascular adverse events, more accurate than other traditional risk factors …
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Test-retest Reliability of Intrinsic Human Brain Default-Mode fMRI Connectivity: Slice Acquisition and Physiological Noise Correction Effects
… as a general marker of noise correction performance we use the test-retest reproducibility of the DMN. The guiding hypothesis is that methods that improve reproducibility should reflect more efficient corrections and thus be preferable in longitudinal studies. The physiological denoising …