AIMC Topic: Radiation Oncology

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Comparison of CBCT-based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learning.

Medical physics Aug 11, 2020
PURPOSE: Anatomical variations occur during head and neck (H&N) radiotherapy treatment. kV cone-beam computed tomography (CBCT) images can be used for daily dose monitoring to assess dose variations owing to anatomic changes. Deep learning methods (D...
Humans Deep Learning Cone-Beam Computed Tomography Radiotherapy Dosage Radiotherapy, Intensity-Modulated Phantoms, Imaging Spiral Cone-Beam Computed Tomography Head and Neck Neoplasms Radiation Oncology Radiotherapy Planning, Computer-Assisted Calibration
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Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives.

Methods (San Diego, Calif.) Jul 19, 2020
Radiation therapy is a pivotal cancer treatment that has significantly progressed over the last decade due to numerous technological breakthroughs. Imaging is now playing a critical role on deployment of the clinical workflow, both for treatment plan...
Tomography, X-Ray Computed Risk Assessment Neoplasms Data Science Humans Machine Learning Prognosis Image Processing, Computer-Assisted Neoplasm Recurrence, Local Magnetic Resonance Imaging Positron-Emission Tomography Radiation Oncology Radiotherapy Planning, Computer-Assisted
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Radiomics in radiation oncology-basics, methods, and limitations.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Jul 9, 2020
Over the past years, the quantity and complexity of imaging data available for the clinical management of patients with solid tumors has increased substantially. Without the support of methods from the field of artificial intelligence (AI) and machin...
Neuroimaging Artificial Intelligence Workflow Reproducibility of Results Radiotherapy Planning, Computer-Assisted Brain Neoplasms Datasets as Topic Imaging, Three-Dimensional Humans Deep Learning Image Processing, Computer-Assisted Computational Biology Radiation Oncology
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Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] May 11, 2020
BACKGROUND: Magnetic resonance imaging (MRI) and amino acid positron-emission tomography (PET) of the brain contain a vast amount of structural and functional information that can be analyzed by machine learning algorithms and radiomics for the use o...
Tumor Suppressor Proteins Neuroimaging Radiosurgery Promoter Regions, Genetic Isocitrate Dehydrogenase Imaging Genomics Positron-Emission Tomography Radiotherapy Planning, Computer-Assisted DNA Modification Methylases DNA Repair Enzymes Neoplasm Grading Neoplasm Recurrence, Local Progression-Free Survival Computational Biology Glioma Magnetic Resonance Imaging DNA Methylation Diagnosis, Differential Neoplasm Proteins Glioblastoma Radiation Oncology Sensitivity and Specificity Brain Neoplasms Deep Learning Humans Image Processing, Computer-Assisted
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Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review).

International journal of oncology May 11, 2020
The new era of artificial intelligence (AI) has introduced revolutionary data‑driven analysis paradigms that have led to significant advancements in information processing techniques in the context of clinical decision‑support systems. These advances...
Deep Learning Decision Support Systems, Clinical Image Processing, Computer-Assisted Radiation Oncology Precision Medicine Biomarkers, Tumor Neoplasms Imaging Genomics Humans Artificial Intelligence
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Ontologies in radiation oncology.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Apr 2, 2020
Ontologies are a formal, computer-compatible method for representing scientific knowledge about a given domain. They provide a standardized vocabulary, taxonomy and set of relations between concepts. When formatted in a standard way, they can be read...
Humans Radiation Oncology Data Mining Information Dissemination Biological Ontologies
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The Impact of Artificial Intelligence and Machine Learning in Radiation Therapy: Considerations for Future Curriculum Enhancement.

Journal of medical imaging and radiation sciences Feb 27, 2020
Artificial intelligence (AI) and machine learning (ML) approaches have caught the attention of many in health care. Current literature suggests there are many potential benefits that could transform future clinical workflows and decision making. Embe...
Decision Support Techniques Humans Quality Assurance, Health Care Allied Health Personnel Artificial Intelligence Radiation Oncology Machine Learning Curriculum
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Overlooked pitfalls in multi-class machine learning classification in radiation oncology and how to avoid them.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jan 25, 2020
In radiation oncology, Machine Learning classification publications are typically related to two outcome classes, e.g. the presence or absence of distant metastasis. However, multi-class classification problems also have great clinical relevance, e.g...
Radiation Injuries Radiation Exposure Radiation Oncology Technology Assessment, Biomedical Humans Monte Carlo Method Biomarkers Machine Learning Risk Factors Models, Theoretical Area Under Curve
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Segmentation of organs-at-risk in cervical cancer CT images with a convolutional neural network.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jan 6, 2020
PURPOSE: We introduced and evaluated an end-to-end organs-at-risk (OARs) segmentation model that can provide accurate and consistent OARs segmentation results in much less time.
Humans Observer Variation Neural Networks, Computer Radiation Oncology Uterine Cervical Neoplasms Organs at Risk Middle Aged Radiotherapy Planning, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Tomography, X-Ray Computed Female Reproducibility of Results Adult
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[Basis and perspectives of artificial intelligence in radiation therapy].

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique Oct 20, 2019
Artificial intelligence is a highly polysemic term. In computer science, with the objective of being able to solve totally new problems in new contexts, artificial intelligence includes connectionism (neural networks) for learning and logics for reas...
Radiation Oncology Algorithms Humans Precision Medicine Neural Networks, Computer Artificial Intelligence Deep Learning Image Processing, Computer-Assisted
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