Advanced Imaging and Therapy in Neuro-Oncology / / edited by Egesta Lopci, Luigi Mansi
| Advanced Imaging and Therapy in Neuro-Oncology / / edited by Egesta Lopci, Luigi Mansi |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (190 pages) |
| Disciplina | 616.99406 |
| Soggetto topico |
Nuclear medicine
Oncology Neurology Nuclear Medicine Neurologia Oncologia Medicina nuclear |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-59341-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Basic clinics on diagnosis and treatment of brain tumors -- Advancements in brain tumor classification -- State of the art in radiological imaging -- Positron emission tomography with radiolabeled amino acid tracers -- New radiopharmaceuticals for brain tumor imaging -- Incremental role of radiomics and artificial intelligence -- Next frontiers in surgical management -- Current and future drugs for brain tumor treatment -- Radiation oncology and heavy ion therapy in brain tumor. |
| Record Nr. | UNINA-9910878982703321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
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American journal of roentgenology : AJR
| American journal of roentgenology : AJR |
| Pubbl/distr/stampa | [Leesburg, VA], : American Roentgen Ray Society |
| Descrizione fisica | 1 online resource |
| Disciplina | 616.07 |
| Soggetto topico |
Medical radiology
Nuclear medicine Radiography Radiology Neoplasms - radiotherapy Nuclear Medicine neoplasms radiotherapy radiography radiology Radiologie médicale Médecine nucléaire Radiographie Radiologie Radiologia mèdica Medicina nuclear |
| Soggetto genere / forma |
Periodicals.
Revistes electròniques. |
| ISSN | 1546-3141 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
AJR AM J Roentgenol
AJR |
| Record Nr. | UNISA-996202169503316 |
| [Leesburg, VA], : American Roentgen Ray Society | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
American journal of roentgenology : AJR
| American journal of roentgenology : AJR |
| Pubbl/distr/stampa | [Leesburg, VA], : American Roentgen Ray Society |
| Descrizione fisica | 1 online resource |
| Disciplina | 616.07 |
| Soggetto topico |
Medical radiology
Nuclear medicine Radiography Radiology Neoplasms - radiotherapy Nuclear Medicine neoplasms radiotherapy radiography radiology Radiologie médicale Médecine nucléaire Radiographie Radiologie Radiologia mèdica Medicina nuclear |
| Soggetto genere / forma |
Periodicals
Revistes electròniques. |
| ISSN | 1546-3141 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
AJR AM J Roentgenol
AJR |
| Record Nr. | UNINA-9910143932203321 |
| [Leesburg, VA], : American Roentgen Ray Society | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Annals of nuclear medicine
| Annals of nuclear medicine |
| Pubbl/distr/stampa | Tokyo, : Japanese Society of Nuclear Medicine |
| Soggetto topico |
Nuclear medicine
Radioisotopes in medical diagnosis Radiotherapy Diagnostic Techniques, Radioisotope Radioisotopes Médecine nucléaire Isotopes radioactifs dans le diagnostic Radiothérapie Isotopes radioactifs Nucleaire geneeskunde Medicina nuclear Radioteràpia |
| Soggetto genere / forma |
periodicals.
Periodicals. Périodiques. Revistes electròniques. |
| ISSN | 1864-6433 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910146479603321 |
| Tokyo, : Japanese Society of Nuclear Medicine | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging / / edited by Patrick Veit-Haibach, Ken Herrmann
| Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging / / edited by Patrick Veit-Haibach, Ken Herrmann |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (216 pages) |
| Disciplina | 610.28563 |
| Collana | Medicine Series |
| Soggetto topico |
Nuclear medicine
Medical informatics Nuclear Medicine Health Informatics Intel·ligència artificial en medicina Diagnòstic per la imatge Medicina nuclear |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-00119-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface: Benefits and Challenges of AI/ML in Hybrid Imaging and Molecular Imaging -- Contents -- Part I: Technology -- 1: Role and Influence of Artificial Intelligence in Healthcare, Hybrid Imaging, and Molecular Imaging -- 1.1 AI Applications Support the Infrastructure and Interventions of Healthcare, Including Molecular Imaging -- 1.1.1 Drug Development -- 1.1.2 Clinical Workflow -- 1.2 AI's Clinical Applications with a Focus on Molecular Imaging -- 1.2.1 Understanding Disease -- 1.2.2 Diagnosis -- 1.2.3 Radiologic-Pathology Correlation -- 1.2.4 Characterization -- 1.2.5 Treatment Planning -- 1.2.6 Prediction of Response to Treatment -- 1.2.7 Overall Prognosis -- 1.2.8 Reporting -- 1.3 Conclusion -- References -- 2: Introduction to Machine Learning: Definitions and Hybrid Imaging Applications -- 2.1 Introduction -- 2.2 History and Basic Definitions -- 2.3 Learning Paradigms -- 2.4 General Concepts of Machine Learning Methods -- 2.5 Classical Machine Learning Approaches -- 2.6 Artificial Neural Networks -- 2.7 Radiomics and Radiogenomics -- 2.8 Imaging Applications -- 2.9 Conclusions and Perspectives -- References -- 3: Radiomics in Nuclear Medicine, Robustness, Reproducibility, and Standardization -- 3.1 Introduction -- 3.2 Robustness of Radiomic Features -- 3.3 Image Acquisition -- 3.4 Image Reconstruction -- 3.5 Segmentation -- 3.6 Image Processing -- 3.7 Discretization -- 3.8 Software -- 3.9 Pitfalls -- 3.10 Standardization -- 3.11 Discussion -- 3.12 Conclusion -- References -- 4: Evolution of AI in Medical Imaging -- 4.1 Disease Characterization -- 4.2 Segmentation -- 4.3 Image Generation/Reconstruction -- 4.4 Data Corrections -- 4.5 Image Registration -- 4.6 Radiology Reporting -- 4.7 Conclusion -- References -- 5: The Basic Principles of Machine Learning -- 5.1 Introduction.
5.1.1 The Task of ML -- 5.1.1.1 A Question -- 5.1.1.2 A Computer -- 5.1.1.3 An Algorithm or Model -- 5.1.1.4 Data to Interpret -- 5.1.2 Supervised Learning -- 5.1.3 Unsupervised Learning -- 5.1.4 Radiomics and Texture Analysis -- 5.1.5 Feature Reduction -- 5.1.6 Scaling and Normalization -- 5.1.7 Training, Validation, and Testing -- 5.2 Linear Regression -- 5.2.1 Under- and Overfitting -- 5.2.2 Linear Regression Mathematics -- 5.2.3 The Neural Network -- 5.2.4 The Objective Function -- 5.2.5 Gradient Descent -- 5.2.6 Deep Learning with Convolutional Neural Networks -- 5.2.7 Advanced Deep Learning Architectures -- 5.2.7.1 Autoencoders -- 5.2.7.2 ResNet -- 5.2.7.3 U-Net -- 5.2.7.4 Generative Adversarial Networks -- 5.2.7.5 Deep Boltzmann Machines -- 5.2.8 Deep Learning in Medical Image Analysis -- 5.2.8.1 Classification, Localization and Detection -- 5.2.8.2 Segmentation -- 5.2.8.3 Registration -- 5.2.8.4 Image Synthesis -- 5.2.9 Federated Learning -- References -- Part II: Clinical Applications -- 6: Imaging Biomarkers and Their Meaning for Molecular Imaging -- 6.1 Introduction -- 6.2 Imaging Biomarkers, Paradigm Shift in Medical Imaging -- 6.3 Imaging Biomarkers in Hybrid Molecular Imaging -- References -- 7: Integration of Artificial Intelligence, Machine Learning, and Deep Learning into Clinically Routine Molecular Imaging -- 7.1 Introduction -- 7.2 Classification -- 7.3 Segmentation -- 7.4 Detection and Localization -- 7.5 Applications of ML and DL in Molecular Imaging -- 7.6 Internal Department Applications -- 7.7 A Glance at Tomorrow -- 7.8 Workforce -- Redundancy, Displacement, Transformation, and Opportunity -- 7.9 Summary -- References -- 8: Imaging Biobanks for Molecular Imaging: How to Integrate ML/AI into Our Databases -- 8.1 Introduction -- 8.2 Imaging Biobanks in Molecular Imaging. 8.3 Bioethical Issues -- 8.4 Proposed Architecture -- References -- 9: Artificial Intelligence/Machine Learning in Nuclear Medicine -- 9.1 Introduction -- 9.2 Classification -- 9.2.1 Alzheimer's Disease -- 9.2.2 Parkinson's Disease -- 9.3 Segmentation -- 9.4 Image Generation and Processing -- 9.5 Low-Dose Imaging -- References -- 10: AI/ML Imaging Applications in Body Oncology -- 10.1 General Principles -- 10.2 Brain -- 10.2.1 Glioma -- 10.3 Neck -- 10.3.1 Head and Neck Cancer -- 10.3.2 Thyroid Cancer -- 10.4 Thorax -- 10.4.1 Lung Cancer -- 10.5 Abdomen -- 10.5.1 Esophageal Cancer -- 10.5.2 Liver Tumor -- 10.5.3 Prostate Cancer -- 10.6 Skeleton -- 10.6.1 Bone Metastases -- 10.7 Hematopoietic System -- 10.7.1 Lymphoma -- 10.7.2 Multiple Myeloma -- References -- 11: Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging -- 11.1 Introduction to AI -- 11.2 AI to Improve Image Quality and Processing -- 11.2.1 Image Denoising -- 11.2.2 Image Reconstruction -- 11.2.3 AI Applications in Attenuation Correction -- 11.2.4 Image Segmentation -- 11.2.5 CT Segmentation: Coronary Artery Calcium -- 11.2.6 CT Segmentation: Epicardial Adipose Tissue -- 11.3 AI to Improve Physician Interpretation -- 11.3.1 Structured Reporting -- 11.3.2 Disease Diagnosis -- 11.3.3 Risk Prediction -- 11.4 Protocol Optimization: Application to Rest Scan Cancellation -- 11.5 Explainable AI -- 11.6 Summary -- References -- Part III: Impact of AI and ML on Molecular Imaging and Theranostics -- 12: Artificial Intelligence Will Improve Molecular Imaging, Therapy and Theranostics. Which Are the Biggest Advantages for Therapy? -- 12.1 Introduction -- 12.2 Literature Review -- 12.2.1 Morphological and Metabolic Tumor Volume Tracking -- 12.2.1.1 Volumetry-Based Oncological Response Assessment Frameworks. 12.2.1.2 Automated Segmentation-Based Volumetry Techniques -- 12.2.1.3 Evolution of Automated Segmentation Using Neural Networks -- 12.3 Quantitative Image and Texture Analysis in Oncological Therapy Response Monitoring -- 12.3.1 Neuro-Oncology -- 12.3.2 Head and Neck Cancers -- 12.3.3 Lung Cancer -- 12.3.4 Prostate Cancer -- 12.3.5 Breast Cancer -- 12.3.6 Gastrointestinal Oncology -- 12.4 Discussion and Outlook -- References -- 13: Integrative Computational Biology, AI, and Radiomics: Building Explainable Models by Integration of Imaging, Omics, and Clinical Data -- 13.1 Introduction -- 13.2 Artificial Intelligence and Data-Driven Science -- 13.3 Multimodal Imaging and Radiomics -- 13.4 Integrative Computational Biology -- 13.5 Patient-Centric Medicine: Preventive and Data-Driven -- References -- 14: Legal and Ethical Aspects of Machine Learning: Who Owns the Data? -- 14.1 Introduction -- 14.2 Opening the "Ethics Bubble": What Are the Concerns? -- 14.3 Going Beyond FAT: Beyond Medical Ethics -- 14.4 Who Owns Patient Data? -- 14.5 Conclusion -- References -- 15: Artificial Intelligence and the Nuclear Medicine Physician: Clever Is as Clever Does -- 15.1 I Am Looking Forward to More A.I. in My Practice Because... -- 15.1.1 The Images Will Look Prettier -- 15.1.2 My Life Will Be Easier -- 15.1.3 My Patients Will Be Better Off -- 15.2 I Am Wary of More A.I. Because... -- 15.2.1 I Don't Understand It -- 15.2.2 I Don't Trust It -- 15.2.3 I Don't Want It -- 15.3 How to Proceed? Let's Be Practical! -- References -- Correction to: Radiomics in Nuclear Medicine, Robustness, Reproducibility, and Standardization -- Correction to: Chapter 3 in: P. Veit-Haibach, K. Herrmann (eds.), Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging, https://doi.org/10.1007/978-3-031-00119-2_3. |
| Record Nr. | UNINA-9910580165603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Atlas of Lymphoscintigraphy and Sentinel Node Mapping : A Pictorial Case-Based Approach / / edited by Giuliano Mariani, Sergi Vidal-Sicart, Renato A. Valdés Olmos
| Atlas of Lymphoscintigraphy and Sentinel Node Mapping : A Pictorial Case-Based Approach / / edited by Giuliano Mariani, Sergi Vidal-Sicart, Renato A. Valdés Olmos |
| Edizione | [2nd ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XII, 378 p. 278 illus., 221 illus. in color.) |
| Disciplina |
616.994
616.9940758 |
| Soggetto topico |
Nuclear medicine
Oncology Surgery Blood-vessels - Diseases Pathology Nuclear Medicine Angiology Medicina nuclear Limfomes Nodes limfàtics Gammagrafia Malalties vasculars |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-45296-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Anatomy and physiology of lymphatic circulation -- Pathophysiology of lymphatic circulation in different disease conditions -- Methodological aspects of lymphoscintigraphy: radiopharmaceuticals and instrumentation -- Methodological aspects of lymphoscintigraphy: bicompartmental versus monocompartmental -- Lymphoscintigraphy for the differential diagnosis of peripheral edema and intracavitary lymph effusion -- The sentinel lymph node concept in oncologic surgery -- General concepts on radioguided sentinel lymph node biopsy: preoperative imaging, intraoperative gamma-probe guidance, intraoperative imaging, multimodality imaging -- SPECT/CT image generation and criteria of interpretation for sentinel lymph node mapping -- Preoperative and intraoperative lymphatic mapping for radioguided sentinel node biopsy in breast cancer -- Preoperative and intraoperative lymphatic mapping for radioguided sentinel node biopsy in cutaneous melanoma -- Preoperative and intraoperative lymphatic mapping for radioguided sentinel node biopsy in head and neck cancers -- Preoperative and intraoperative lymphatic mapping for radioguided sentinel node biopsy in non-small-cell lung cancer -- Preoperative and intraoperative lymphatic mapping for radioguided sentinel node biopsy in cancers of the gastrointestinal tract -- Preoperative and intraoperative lymphatic mapping for radioguided sentinel node biopsy in cancers of the female reproductive system -- Preoperative and intraoperative lymphatic mapping for radioguided sentinel node biopsy in cancers of the male reproductive system -- Preoperative and intraoperative lymphatic mapping for radioguided sentinel node biopsy in kidney and bladder cancers. |
| Record Nr. | UNINA-9910411940003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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Atlas of nuclear cardiology / / edited by Jagat Narula, Vasken Dilsizian
| Atlas of nuclear cardiology / / edited by Jagat Narula, Vasken Dilsizian |
| Edizione | [Fifth edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (542 pages) |
| Disciplina | 616.1207575 |
| Soggetto topico |
Heart - Radionuclide imaging
Cardiologia Medicina nuclear Radiologia mèdica |
| Soggetto genere / forma |
Atles (Científic)
Llibres electrònics |
| ISBN | 3-030-49885-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Contributors -- 1: History of Nuclear Cardiology -- Discovery of Natural Radioactivity: Antoine Henri Becquerel -- Understanding the Nature of Radiation -- First Tracer Study in Humans: Herrmann Blumgart -- The Radiocardiogram: Myron Prinzmetal -- Radionuclide Imaging -- Scintillation Camera: Hal Anger -- Cardiac Studies -- Left Ventricular Ejection Fraction -- Myocardial Perfusion -- References -- 2: Principles of Nuclear Cardiology Imaging -- Introduction -- Fundamentals -- Formation of Radionuclides -- Imaging Devices and Principles -- Quality Control Procedures -- Advances in Cardiology Imaging -- References -- 3: Handling Radionuclides and Radiation Safety -- References -- 4: SPECT and PET Myocardial Perfusion Imaging: Tracers and Techniques -- Myocardial Perfusion, Uptake, and Clearance -- Image Interpretation and Quantitation -- SPECT Techniques: 201TI -- SPECT Techniques: 99mTc-labeled Perfusion Tracers -- PET Tracers and Techniques -- References -- 5: Physiologic and Pharmacologic Stressors -- Introduction -- Physiologic Stress -- Pharmacologic Stress -- Selective Adenosine-2A Receptor Agonists -- Pivotal Regadenoson Clinical Trials -- Selective A2A Receptor Agonist Side Effect Profiles -- Recent Clinical Applications -- Preoperative Cardiac Risk Stratification -- Pharmacologic Stress Myocardial Perfusion Imaging Literature -- Current Clinical Practice Guidelines -- Clinical Utility of Stress Imaging in Perioperative Risk Assessment -- Recent Clinical Applications -- Stress Imaging Modality Choice -- References -- 6: Coronary Physiology and Quantitative Myocardial Perfusion -- Why Coronary Physiology and Quantitative Perfusion? -- Clinical Coronary Physiology -- The Literature: Conflicts, Explanations, Resolutions -- Conflicts: Which Is Best, CFR or Stress Perfusion?.
Conflicts: Which Is Best for Diagnosis of Significant Stenosis, FFRCT or Quantitative PET Perfusion? -- Conflicts: Which Is Best for Diagnosis of Significant Stenosis, CT Angiography (CTA) or Quantitative PET Perfusion? -- Conflicts: What Is the Prevalence of Microvascular Disease? -- Making Physiologic Displays That Are Clinically Useful -- Interacting Clinical Physiology and Imaging Physics -- Clinical Coronary Physiology by PET to Guide Cardiac Care -- Physiologic Severity, Revascularization, and Outcomes -- Quantitative Myocardial Perfusion for Clinical Dilemmas -- Severe CAD Missed on Angiograms -- Recurrent Angina after Surgery -- Progression and Regression of CAD -- The Unmeasured Elephants in Cardiology: Methods Thinking Versus Physiology Thinking -- Subendocardial Perfusion -- Low-Risk Versus High-Risk Angina -- References -- 7: Assessment of Cardiac Function: First-Pass, Equilibrium Blood Pool, and Gated Myocardial SPECT -- Introduction -- Blood Pool Imaging of Ventricular Function -- First-Pass Versus Equilibrium Method -- First-Pass Analysis -- Equilibrium Analysis -- Gating Methods -- Clinical Parameters -- Radionuclide Angiography in Clinical Cardiology -- SPECT Blood Pool Imaging -- Gated Myocardial Perfusion SPECT -- Partial Volume Effect -- Gated Perfusion Imaging -- References -- 8: Prognostic Performance of Myocardial Perfusion and Function -- Introduction -- Pathophysiologic Basis for Risk Assessment in Myocardial Perfusion SPECT -- Differentiating Outcome Type by Nuclear Test Results -- Interpreting Perfusion Data in Conjunction with Pre-test Assessments of Risk -- Clinical Factors and Their Interactions with Ischemia -- The Effect of Changes in SPECT MPI Protocols and Technology -- The Role of Coronary Calcium Scoring -- Using Perfusion Imaging to Assess Survival Benefit from Revascularization -- References. 9: Imaging Cardiac Metabolism -- Introduction -- Evolution of Knowledge of Cardiac Metabolism -- Metabolic Radiotracers -- Metabolic Signals in Normal and Diseased Heart: Opportunities for Molecular Imaging -- Clinical Application of Myocardial Metabolism: PET and SPECT Techniques -- PET Techniques: 11C-Palmitate -- SPECT Technique: 123I-BMIPP -- PET Technique: 11C-Acetate -- PET and SPECT Techniques: 18F-FDG -- Metabolic Pathways and Patterns -- References -- 10: Myocardial Viability -- Requirements for Cellular Viability -- Pathogenetic Basis of Altered Myocardial States -- Left Ventricular Ejection Fraction -- Evaluating Myocardial Viability -- Arithmetic of Altered Myocardial States -- References -- 11: Myocardial Innervation -- Autonomic Nervous System -- Radiotracers -- Normal Myocardial Innervation -- Heart Failure -- Ischemic Heart Disease -- Atrial and Ventricular Arrhythmias -- Diabetes -- Cardiac Transplantation -- References -- 12: Diagnosis and Risk Stratification in Acute Coronary Syndromes -- Introduction -- General Approach to Cardiovascular Imaging in ACS -- Radionuclide Imaging Early in the Evaluation of Suspected ACS -- Echocardiography in the Evaluation of Suspected ACS -- Cardiac CT Imaging in the Evaluation of Suspected ACS -- Cardiac MRI in the Evaluation of Suspected ACS -- Imaging of Myocardial Salvage in Patients with Acute Myocardial Infarction -- Role of Radionuclide Imaging Following an ACS -- References -- 13: Imaging Cardiac Sarcoidosis, Amyloidosis, and Cardiovascular Prosthetic Infections -- Cardiac Sarcoidosis -- Cardiovascular Prosthetic Infection -- Cardiac Amyloidosis -- References -- 14: Clinical Molecular Imaging of Inflammation and Calcification in Atherosclerosis -- Biology of At‑herosclerosis -- Imaging of Cardiovascular Inflammation -- Insights into Clinical Risk -- Imaging Coronary Plaque Inflammation. Imaging of Vascular Microcalcification -- Gaining Insights Into Treatment Effects -- Multitissue Imaging to Gain Unique Biological Insights in Humans -- Potential Future Clinical Use -- References -- Index. |
| Record Nr. | UNINA-9910483387603321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Lo trovi qui: Univ. Federico II | ||
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Atlas of Nuclear Medicine in Musculoskeletal System : Case-Oriented Approach / / edited by Seoung-Oh Yang, So Won Oh, Yun Young Choi, Jin-Sook Ryu
| Atlas of Nuclear Medicine in Musculoskeletal System : Case-Oriented Approach / / edited by Seoung-Oh Yang, So Won Oh, Yun Young Choi, Jin-Sook Ryu |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (266 pages) |
| Disciplina | 616.707548 |
| Collana | Medicine Series |
| Soggetto topico |
Nuclear medicine
Nuclear Medicine Malalties de l'aparell locomotor Medicina nuclear |
| Soggetto genere / forma |
Atles (Científic)
Llibres electrònics |
| ISBN | 981-19-2677-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Inflammatory and Infectious Disorders -- 1 Musculoskeletal infections -- 2 Septic Arthritis -- 3 Inflammatory arthritis -- 4 Non-inflammatory arthritis: Osteoarthritis -- 5 Hypertrophic Osteoarthropathy -- Part II Traumatic and Circulatory Disorders -- 6 Fracture, non-union and bone graft -- 7 Stress Fractures and Sports Injury -- 8 Osteonecrosis -- 9 Complex regional pain syndrome -- Part III Spine and Joint Disorders -- 10 Spine -- 11 Hip -- 12 Knee prostheses -- 13 Ankle and shoulder -- Part IV Metabolic and Endocrine Osseous Disorders -- 14 Metabolic Bone Disease -- 15 Osteoporosis -- 16 Fibrous Dysplasia -- Part V Musculoskeletal Neoplastic Disorders -- 17 Primary Bone and Soft Tissue Tumors -- 18 Metastatic musculoskeletal tumors -- 19 Marrow Replacement Disorders -- Part VI Miscellaneous Features in Musculoskeletal Nuclear Imaging -- 20 Soft Tissue Uptake of Bone Scan Agents -- 21 Musculoskeletal Nuclear Imaging Pitfalls. |
| Record Nr. | UNINA-9910616389903321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Basic sciences of nuclear medicine / / Magdy M. Khalil, editor
| Basic sciences of nuclear medicine / / Magdy M. Khalil, editor |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (564 pages) |
| Disciplina | 616.07575 |
| Soggetto topico |
Nuclear medicine
Medicina nuclear |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-65245-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484335803321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Lo trovi qui: Univ. Federico II | ||
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Beyond Becquerel and Biology to Precision Radiomolecular Oncology: Festschrift in Honor of Richard P. Baum / / edited by Vikas Prasad
| Beyond Becquerel and Biology to Precision Radiomolecular Oncology: Festschrift in Honor of Richard P. Baum / / edited by Vikas Prasad |
| Autore | Prasad Vikas |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2024 |
| Descrizione fisica | 1 online resource (367 pages) |
| Disciplina | 616.0757 |
| Soggetto topico |
Nuclear medicine
Medical radiology Oncology Internal medicine Nuclear Medicine Radiation Oncology Internal Medicine Medicina nuclear Radiologia mèdica Oncologia |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-33533-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. The Rise of A Theranostic Empire: Good Governance and Precision Oncology -- 2. 18 FDG PET CT assessing Inmunotherapy response -- 3. Radionuclide Therapy in Brain Tumours -- 4. From Concept to Clinic and Comercialisation - Cowboys Wanted -- 5. From Radiochemistry of the Lanthanides to 225Ac and the interference with Richard Baum -- 6. How do you feel about dosimetry?" The Gretchenfrage of Radionuclide Therapy -- 7. The LuGenIum Triptych Ode to a Theranostic Transcriptome -- 8. A tree can be recognized by its fruit -- 9. IAEA Strategy for Enhancing the Sustainability of Nuclear Medicine in Low- and Middle- Income Countries -- 10. Combining surgery with peptide receptor radionuclide therapy – a step forward in treatment of advanced neuroendocrine tumours -- 11. Modern diagnostic and therapeutic approaches in thyroid diseases - Theranostics and the changing role of radioactive isotopes – -- 12. Cardiotoxicity of targeted therapies: Imaging of Heart Does Matter -- 13. Following the co-evolution of Innovation and demand in the field of precision oncology -- 14. Fighting for PET in German oncological guidelines and for its reimbursement by Statutory Health Insurances -- 15. Precision Oncology with PSMA-targeted Alpha Particle Therapy of mCRPC -- 16. From Radioimmunodetection to Radiomolecular Precision Oncology via Radionanotargeting by Intelligent Multidisciplinary Radiotheragnostic Nanoparticles -- 17. Nuclear medicine and surgery a new productive new marriage -- 18. 'PSMA Radioligand Therapy - A Revolution in the Precision Oncology of Prostate Cancer' -- 19. The Role of Individuals for Innovation: The Nuclear Medicine Biotope -- 20. Working at ISOTOPENTHERAPIESTATION D3- a daily challenge or adventure never stops -- 21. Combining targeted radiation therapies in modern clinical oncological practice -- 22. Theranostic Radiopeptides in Nuclear Oncology: Design, Preclinical Screening & Clinical Translation -- 23. Terbium “Sisters”: More than just a “Swiss Army Knife” -- 24. High-Performance Radiopharmacy - The Base for Precision Oncology -- 25. Analyzing the science footprint of Richard P. Baum -- 26. Ac-225 PSMA in metastatic prostate cancer without previous chemotherapy -- 27. 'Sola dosis facit venenum: Dosimetrie in Precision Oncology with Radiolabelled Probe' -- 28. theranostic pair 203Pb and 212Pb for image-guided alpha/beta particle therapy for cancer. -- 29. Radioiodine labeled metaiodobenzylguanidine for imaging and treatment of the adrenal medulla and extra-adrenal paraganglia tumors -- 30. A (188)Re-juvenatiNG JOURNEY WITH HERCULES -- 31. CXCR4 Theranostic Experience from India -- 32. Can VPAC Targeted Cu-67-TP3805 Play a Theranostic Role for Prostate Cancer?: A Quest -- 33. REAL-WORLD EVIDENCE: CLINICAL OUTCOMES IN PRECISION RADIONUCLIDE ONCOLOGY. The WARMTH NIGHTCAP Study of 177Lu-PSMA in Metastatic Prostate Cancer. -- 34. Uptake of 68Ga-DOTATATE and 68Ga-DOTATOC in primary neuroendocrine tumors, metastases, and normal liver tissue – isthere a significant difference? -- 35. Theranostics with somatostatin receptor antagonists. -- 36. Molecular in-vitro & in-vivo diagnostics as the impartible basis of multimodal therapy approaches in precision oncology -- 37. Molecular imaging platform and radio-pharmaceutical transnational research on Peking University Cancer Hospital -- 38. Dose it possible to targeting HER2 using Affibody receptor radionuclide therapy. |
| Record Nr. | UNINA-9910799278103321 |
Prasad Vikas
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| Cham, : Springer Nature, 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
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