Advances in the Diagnosis and Treatment of Thyroid Carcinoma |
Autore | Medas Fabio |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (286 p.) |
Soggetto topico |
Medicine
Oncology |
Soggetto non controllato |
thyroid carcinoma
prophylactic central lymph node dissection lymph node metastases RET medullary thyroid carcinoma clinical management variants of uncertain significance differentiated thyroid cancer papillary thyroid cancer minimal extrathyroidal extension radioactive iodine therapy prognosis TNM histology multifocality lymph node metastasis vascular invasion autoimmune thyroid diseases radioiodine refractory Lenvatinib 18F-FDG-PET/CT cost-benefit analysis economics medical thyroid neoplasms radiomics ultrasound magnetic resonance imaging computer tomography prediction classification angiogenic microenvironment prognostic factors antiangiogenic therapy therapeutic target tumor microenvironment tumor behavior proliferation pathways cell cycle control pathways angiogenesis process thyroid cancer Gal-3 expression NIFTP EFVPTC lymphocytic thyroiditis (LT) immunohistochemical (IHC) analysis molecular imaging theranostics companion diagnostics immunoPET anaplastic thyroid cancer poorly thyroid cancer genetic landscape genetically guided therapy fluorodeoxyglucose F18 (18F-FDG) positron emission tomography (PET) magnetic resonance imaging (MRI) recurrence neoplasm metastasis thyroid surgery hypoparathyroidism fluorescence-guided surgery near-infrared autofluorescence PRKAR1A PKA Carney complex cAMP bone metastasis metastasectomy stereotactic radiosurgery ultrasound imaging thyroid nodule fine-needle aspiration papillary thyroid carcinoma lobectomy operative extent CONUT score tyrosine kinase inhibitors |
ISBN | 3-0365-5333-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910619464303321 |
Medas Fabio | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Cardiovascular and Thoracic Imaging: Trends, Perspectives and Prospects |
Autore | Ohana Mickaël |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (130 p.) |
Soggetto topico | Medical equipment & techniques |
Soggetto non controllato |
lung transplantation
image processing computer-assisted pulmonary disease chronic obstructive bronchiolitis obliterans cardiac heart magnetic resonance CMR compressed sensing congenital heart disease GUCH real-time imaging fast imaging function retrospective retrogating image quality carcinoid tumor neoplasm metastasis lymphatic metastasis multidetector computed tomography neuroendocrine cells asbestos-exposition HRCT asbestosis real-time arrhythmia artifact radiation dosage lung helical computed tomography dual-energy CT iodine diagnostic imaging myocarditis extra-cellular volume thorax computed tomography photon-counting detectors |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Cardiovascular and Thoracic Imaging |
Record Nr. | UNINA-9910566471403321 |
Ohana Mickaël | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Machine Learning/Deep Learning in Medical Image Processing |
Autore | Nishio Mizuho |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (132 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
pancreas
segmentation computed tomography deep learning data augmentation neoplasm metastasis ovarian neoplasms radiation exposure tomography x-ray computed prostate carcinoma microscopic convolutional neural network machine learning handcrafted oral carcinoma medical image segmentation colon cancer colon polyps OCT optical biopsy animal rat models CADx airway volume analysis artificial intelligence coronary artery disease SPECT MPI scans convolutional neural networks transfer learning classification models |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557791503321 |
Nishio Mizuho | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS |
Autore | Trimboli Pierpaolo |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (212 p.) |
Soggetto topico |
Medicine
Clinical & internal medicine |
Soggetto non controllato |
thyroid
ultrasonography follicular neoplasm follicular lesion of unknown significance follicular thyroid cancer papillary thyroid carcinoma neoplasm metastasis biopsy fine-needle thyroglobulin US-guided minimally invasive techniques radiofrequency ablation RFA benign thyroid nodules thyroid cancer DTC recurrences PTMC long term follow-up regrowth classification system ultrasound classification system TIRAD nodule risk stratification TI-RADS fine-needle aspiration cancer ultrasound scintigraphy non-autonomously functioning thyroid imaging reporting and data systems (TIRADS) risk of malignancy (ROM) thyroid nodules paediatrics radiotherapy risk assessment DTC thyroid neoplasm medical imaging artificial intelligence machine learning deep learning radiomics prediction diagnosis Thyroid Imaging Reporting and Data Systems (TIRADS) pediatric thyroid nodules neck ultrasound contrast-enhanced ultrasound (CEUS) papillary thyroid cancer TIRADS thyroid nodule fine-needle aspiration biopsy elastosonography |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Risk Stratification of Thyroid Nodule |
Record Nr. | UNINA-9910566457803321 |
Trimboli Pierpaolo | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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