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1,083 results on '"Computer Applications-General"'

1. The use of Dose Management Systems in Europe: Results of an ESR EuroSafe Imaging Questionnaire

Author

Reinhard Loose, Eliseo Vaño, Josefin Ammon, Jonas Andersson, Hugues Brat, Boris Brkljacic, Katrina Caikovska, Riccardo Corridori, John Damilakis, Timo De Bondt, Guy Frija, Claudio Granata, Christoph Hoeschen, Elmar Kotter, Ivana Kralik, Jonathan McNulty, Graciano Paulo, Virginia Tsapaki, and on behalf of the European Society of Radiology

Subjects
Radioprotection, Computer applications-general, Diagnostic procedure, Quality assurance, Dose management, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Abstract Dose management systems (DMS) are an essential tool for quality assurance and optimising patient radiation exposure. For radiologists and medical physicists, they are important for managing many radiation protection tasks. In addition, they help fulfil the requirements of Directive 2013/59/EURATOM regarding the electronic transmission of dosimetric data and the detection of unintended patient exposures. The EuroSafe Imaging Clinical Dosimetry and Dose Management Working Group launched a questionnaire on the use of DMS in European member states and analysed the results in terms of modalities, frequency of radiological procedures, involvement of medical physics experts (MPEs), legal requirements, and local issues (support by information technology (IT), modality interfaces, protocol mapping, clinical workflow, and associated costs). Critical relevance statement Despite the great advantages of dose management systems for optimising radiation protection, distribution remains insufficient. This questionnaire shows that reasons include: a lack of DICOM interfaces, insufficient harmonisation of procedure names, lack of medical physicist and IT support, and costs. Key Points Quantitative radiation dose information is essential for justification and optimisation in medical imaging. Guidelines are required to ensure radiation dose management systems quality and for acceptance testing. Verifying dose data management is crucial before dose management systems clinical implementation. Medical physics experts are professionals who have important responsibilities for the proper management of dose monitoring. Graphical Abstract

Published
2024
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2. The use of Dose Management Systems in Europe: Results of an ESR EuroSafe Imaging Questionnaire.

Author

Loose, Reinhard, Vaño, Eliseo, Ammon, Josefin, Andersson, Jonas, Brat, Hugues, Brkljacic, Boris, Caikovska, Katrina, Corridori, Riccardo, Damilakis, John, De Bondt, Timo, Frija, Guy, Granata, Claudio, Hoeschen, Christoph, Kotter, Elmar, Kralik, Ivana, McNulty, Jonathan, Paulo, Graciano, and Tsapaki, Virginia

Subjects
*INFORMATION technology, *MEDICAL physics, *RADIATION protection, *RADIATION exposure, *RADIATION doses
Abstract

Dose management systems (DMS) are an essential tool for quality assurance and optimising patient radiation exposure. For radiologists and medical physicists, they are important for managing many radiation protection tasks. In addition, they help fulfil the requirements of Directive 2013/59/EURATOM regarding the electronic transmission of dosimetric data and the detection of unintended patient exposures. The EuroSafe Imaging Clinical Dosimetry and Dose Management Working Group launched a questionnaire on the use of DMS in European member states and analysed the results in terms of modalities, frequency of radiological procedures, involvement of medical physics experts (MPEs), legal requirements, and local issues (support by information technology (IT), modality interfaces, protocol mapping, clinical workflow, and associated costs). Critical relevance statement: Despite the great advantages of dose management systems for optimising radiation protection, distribution remains insufficient. This questionnaire shows that reasons include: a lack of DICOM interfaces, insufficient harmonisation of procedure names, lack of medical physicist and IT support, and costs. Key Points: Quantitative radiation dose information is essential for justification and optimisation in medical imaging. Guidelines are required to ensure radiation dose management systems quality and for acceptance testing. Verifying dose data management is crucial before dose management systems clinical implementation. Medical physics experts are professionals who have important responsibilities for the proper management of dose monitoring. [ABSTRACT FROM AUTHOR]

Published
2024
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3. Radiology reporting in rectal cancer using magnetic resonance imaging: Comparison of reporting completeness between different reporting styles and structure.

Author

Alvfeldt, Gustav, Aspelin, Peter, Blomqvist, Lennart, and Sellberg, Nina

Subjects
*MAGNETIC resonance imaging, *RECTAL cancer, *RADIOLOGY, *TUMOR classification
Abstract

Background: The radiology report is vital for providing imaging information to guide patient treatment, and template-based reporting can potentially increase the reporting completeness. In 2014, a national reporting template for radiological staging of rectal cancer using magnetic resonance imaging (MRI) was implemented in Sweden. Purpose: To evaluate the impact of the national reporting template by comparing and analysing differences in content and completeness in MRI reports between 2010 and 2016. Focus was to compare reporting completeness (i) between different reporting years and (ii) between three defined reporting styles. Material and Methods: 493 MRI reports were gathered from 10 hospitals in four healthcare regions in Sweden, comprising 243 reports from 2010 and 250 reports from 2016. Reports were classified into three reporting styles: Expanded structured, Minimised structured, and Unstructured, and analysed using qualitative content analysis based on the national template. Results: In 2010, all reports adhered to Unstructured reporting. In 2016, 44, 42, and 164 reports were conformant to Expanded structured, Minimised structured, and Unstructured reporting, respectively. A comparison between the years revealed a reporting completeness of 48% for 2010 reports and 72% for 2016 reports. Among the 2016 reporting styles, Unstructured reporting had the largest gap compared to the national template, with completeness at 64% versus 77.5% for Minimised structured reporting and 93% for Expanded structured reporting. Conclusion: Implementation of template-based reporting according to Expanded structure is key to conform to national decided evidence-based practice for radiological staging of rectal cancer. [ABSTRACT FROM AUTHOR]

Published
2024
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4. Imaging AI in Practice: A Demonstration of Future Workflow Using Integration Standards.

Author

Wiggins, Walter F, Magudia, Kirti, Schmidt, Teri M Sippel, O'Connor, Stacy D, Carr, Christopher D, Kohli, Marc D, and Andriole, Katherine P

Subjects
Information and Computing Sciences, Biomedical and Clinical Sciences, Clinical Sciences, Networking and Information Technology R&D (NITRD), Biomedical Imaging, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Computer Applications-General, Technology Assessment
Abstract

Artificial intelligence (AI) tools are rapidly being developed for radiology and other clinical areas. These tools have the potential to dramatically change clinical practice; however, for these tools to be usable and function as intended, they must be integrated into existing radiology systems. In a collaborative effort between the Radiological Society of North America, radiologists, and imaging-focused vendors, the Imaging AI in Practice (IAIP) demonstrations were developed to show how AI tools can generate, consume, and present results throughout the radiology workflow in a simulated clinical environment. The IAIP demonstrations highlight the critical importance of semantic and interoperability standards, as well as orchestration profiles for successful clinical integration of radiology AI tools. Keywords: Computer Applications-General (Informatics), Technology Assessment © RSNA, 2021.

Published
2021

5. Rectal cancer staging using MRI: adherence in reporting to evidence-based practice.

Author

Alvfeldt, Gustav, Aspelin, Peter, Blomqvist, Lennart, and Sellberg, Nina

Subjects
*TUMOR classification, *EVIDENCE-based management, *RECTAL cancer, *ANAL tumors
Abstract

Background: Magnetic resonance imaging (MRI) is the first-line imaging modality for local staging of rectal cancer. The radiology report should deliver all relevant available imaging information to guide treatment. Purpose: To explore and describe if there was a gap between the contents in MRI reports for primary staging of rectal cancer in Sweden in 2010 compared to evidence-based practice. Material and Methods: A total of 243 primary MRI staging reports from 2010, collected from 10 hospitals in four healthcare regions in Sweden, were analyzed using content analysis with a deductive thematic coding scheme based on evidence-based practice. Focus was on: (i) most frequently reported findings; (ii) correlation to key prognostic findings; and (iii) identifying if any findings being reported were beyond the information defined in evidence-based practice. Results: Most frequently reported findings were spread through the bowel wall or not, local lymph node description, tumor length, and distance of tumor from anal verge. These items accounted for 35% of the reporting content. Of all reported content, 86% correlated with the evidence-based practice. However, these included more information than was generally found in the reports. When adjusting for omitted information, 48% of the reported content were accounted for. Of the reported content, 20% correlated to key pathological prognostic findings. Six types of findings were reported beyond the evidence-based practice, representing 14% of the total reporting content. Conclusion: There was a gap between everyday practice and evidence-based practice in 2010. This indicates a need for national harmonization and implementation of standardized structured reporting templates. [ABSTRACT FROM AUTHOR]

Published
2020
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6. Eye-Tracking in Medical Education: Sonoanatomy Training with Eye Movement Modeling Examples

Author

Rischen, Robert

Subjects
Computer Applications-General, Observer performance, Ultrasound, Education and training, Computer applications, Anatomy, Education
Abstract

Learning objectives Background Findings and procedure details Conclusion Personal information and conflict of interest References, Learning objectives: Sonography is one of the most commonly performed imaging modalities in clinical practice and a core discipline of radiology[1]. However, sonography is highly examiner-dependent and challenging to learn as it demands rapid interpretation of dynamic,...

Published
2023
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7. Data visualization and creating publication-ready plots using the R language: a primer for radiologists

Author

Castro Pereira, José

Subjects
Experimental, Computer Applications-General, Statistics, Education and training, FOS: Mathematics, Computer applications
Abstract

Learning objectives Background Findings and procedure details Conclusion Personal information and conflict of interest References, Learning objectives: To show researching radiologists how to visualize their data as well as how to create beautiful and publication-ready plots for their audiences using the free R statistical language as well as the ggplot2...

Published
2023
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8. A comparative investigation on the diagnostic implications of modifications in automatic tube current modulation in a 320-slice multi-detector CT

Author

Tiong, Katherine

Subjects
Computer Applications-General, Radiation safety, Equipment, Kv imaging, Radioprotection / Radiation dose, Thorax, CT
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Computed Tomography (CT) imaging utilise X-rays to obtain cross-sectional images of the human body. Its helical systems with multi-row detectors are capable in producing axial images across different part of the body, which aids to perform...

Published
2023
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9. MR imaging: correlation between radiological and clinical indices in the diagnosis and prognosis of idiopathic normotensive hydrocephalus

Author

Nicolosi, Silvia

Subjects
Computer Applications-General, Cerebrospinal fluid, Computer Applications-3D, Neuroradiology brain, Dementia, Computer applications, Anatomy, MR, Diagnostic procedure, Image manipulation / Reconstruction, PACS, Dilatation
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: This study analyzed multiple Magnetic Resonance Imaging (MRI) linear and volumetric ventricular measurements in a group of subjects with iNPH (idiopathic-Normal Pressure Hydrocephalus) with the aim of: (a) evaluating the correlation with clinical...

Published
2023
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10. Boosting Local Contrast at the Region of Interest for Radiographic Images

Author

Qi, Buer

Subjects
Computer Applications-General, Segmentation, Musculoskeletal joint, Digital radiography, Quality assurance
Abstract

Learning objectives Background Findings and procedure details Conclusion Personal information and conflict of interest References, Learning objectives: To demonstrate the capability of a novel local contrast enhancement algorithm to improve visualization of thin and thick areas of radiographic images with high dynamic...

Published
2023
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11. Combined CT radiomics of primary tumor and N0 lymph nodes for predicting nodal status in colon cancer: a comparative analysis with morphological node-score

Author

Nacci, Ilaria

Subjects
Computer Applications-General, Staging, Oncology, Colon, Computer Applications-Detection, diagnosis, Tissue characterisation, Metastases, Lymph nodes, CT-Quantitative, CT, Cancer
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Colorectal cancer (CC) is one of the most frequently diagnosed and deadliest malignancy. The most important prognostic indicator of CC is the pathological stage at presentation, and a key role is played by the lymph node (LN) status which determines...

Published
2023
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12. Presurgical accuracy of dipole clustering in MRI-negative paediatric patients with epilepsy

Author

Alhilani, Michel

Subjects
Computer Applications-General, Neuroradiology brain, Paediatric, Outcomes, CNS, MR, Localisation, Experimental investigations
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: The aim of this study 1 is to assess the clinical utility of using interictal magnetic and electric source imaging (MSI and ESI) using dipole clustering in children and young adults with drug resistant epilepsy (DRE) having inconclusive MRI...

Published
2023
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13. Update of the Bosniak classification

Author

Rambla Sanz, Ana María

Subjects
Computer Applications-General, Computer Applications-Detection, diagnosis, Cysts, Kidney, CT
Abstract

Learning objectives Background Findings and procedure details Conclusion Personal information and conflict of interest References, Learning objectives: In 2019 Silverman et al. proposed an update of the Bosniak classification for cystic masses. The main aim of the new update focuses on avoiding surgery for benign masses and indolent cancers, which increases morbidity and mortality without clear...

Published
2023
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14. Things to Measure, Monitor and Document: Post Market Surveillance of AI Model

Author

Mahajan, Vidur

Subjects
Computer Applications-General, Image verification, Artificial Intelligence, Plain radiographic studies
Abstract

Learning objectives Background Findings and procedure details Conclusion Personal information and conflict of interest References, Learning objectives: Things to Measure, Monitor and Document: Post-Market Surveillance of SaMD’s particularly AI...

Published
2023
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15. Application of Radiomics for characterization of small renal masses

Author

Bertolotti, Lorenzo

Subjects
Computer Applications-General, Segmentation, Artificial Intelligence, Computer Applications-Detection, diagnosis, Computer applications, Kidney, CT, Cancer
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Nowadays, small renal masses (SRMs; < 4 cm) are increasingly detected incidentally during imaging examinations performed for other medical reasons (US, CT, MR). They vary widely in histology and aggressiveness and include benign renal tumors as well...

Published
2023
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16. Susceptibility Imaging (SWI) Morphologic Patterns and High-Order Radiomics of Baseline and Post-Treatment Advanced MRI of Extremity Soft-Tissue Undifferentiated Pleomorphic Sarcoma

Author

Duran-Sierra, Elvis

Subjects
Computer Applications-General, Musculoskeletal system, Oncology, Neoplasia, Education and training, Musculoskeletal soft tissue, MR, PACS, Outcomes analysis, MR-Functional imaging, Education, Cancer
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: To determine the predictive value of morphologic patterns and high-order radiomic features [1] obtained from advanced MRI protocol performed with contrast-enhanced susceptibility (SWI-CE) [2] and to characterize treatment response in patients with...

Published
2023
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17. Pseudo CT Synthesis From CBCT Using Deep Learning In An Adaptive Proton Therapy Context

Author

Molina Maza, Juan

Subjects
Computer Applications-General, Radiographers, Image guided radiotherapy, Artificial Intelligence, Neuroradiology brain, Radiation therapy / Oncology, Cone beam CT, Radiotherapy techniques, CT
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Cancer is impacting our population’s health in a way no other disease has ever done [1]. That is why, new technologies are arising to diagnose, treat, and cure cancer. One key example is protontherapy. Proton therapy requires a CT scan to predict...

Published
2023
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18. Exploring optimal D-dimer thresholds for PE prediction at CTPA using an optimal binning algorithm

Author

Gaffney, Brian

Subjects
Computer Applications-General, Statistics, FOS: Mathematics, Diagnostic procedure, Respiratory system, CT-Angiography, Embolism / Thrombosis, CT
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Pulmonary embolus (PE) is a major cause of morbidity and mortality. CT pulmonary angiography (CTPA) is the gold standard for diagnosing PE but contributes to a potentially avoidable risk of radiation exposure. CTPA use has risen by over 400% in the...

Published
2023
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19. Diagnostic accuracy of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) in patients before liver transplantation using CT-FFR machine learning algorithm

Author

Schüßler, Maximilian

Subjects
Cardiovascular system, Computer Applications-General, Transplantation, Artificial Intelligence, Arteriosclerosis, Screening, Diagnostic procedure, Cardiac, Catheter arteriography, CT-Angiography, CT
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Liver transplantation (LT) is associated with high stress on the cardiovascular system; cardiovascular complications can occur intraoperatively, early in the posttransplant period or later in follow‐up [1, 2]. Since the prevalence of coronary...

Published
2023
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20. Deep-learning-based image quality enhancement of CT-like MR imaging in patients with suspected traumatic shoulder injury

Author

Feuerriegel, Georg

Subjects
Computer Applications-General, Musculoskeletal system, MR, Imaging sequences, Trauma, Image manipulation / Reconstruction, Musculoskeletal bone, Neural networks
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: In an acute trauma setting conventional CT is part of the clinical routine work up to assess osseous pathologies for potential surgical planning with the disadvantage of using ionizing radiation [1, 2]. Recently, several approaches have been...

Published
2023
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21. Integration of Inter-Rater Agreement in AI-System Training and Testing for Mammographic Breast Density Classification

Author

Kappler, Steffen

Subjects
Computer Applications-General, Artificial Intelligence, Screening, Tissue characterisation, Breast, Mammography
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: The term mammographic breast density (MBD) refers to the amount of fibro-glandular tissue in the breast visible on an x-ray mammogram. It is usually reported by radiologists based on the 4 classes (a, b, c, d) from the ACR BI-RADS atlas [1]. There...

Published
2023
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22. The Top 1000 Most Cited Publications in the European Radiology Journal: A Bibliometric Analysis

Author

Sasani, Hadi

Subjects
Computer Applications-General, Computer Applications-Detection, diagnosis, Ultrasound, Statistics, Education and training, FOS: Mathematics, Computer applications, MR, CT
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: The purpose of this study was to conduct a bibliometric analysis of the most cited publications in the European Radiology journal (ER). The study aimed to identify the trends in publication and evaluate the correlations between the number of...

Published
2023
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23. Breast cancer risk determination for personalized screening

Author

Ballerini, Daniela

Subjects
Computer Applications-General, Ultrasound, Breast, Computer applications, Mammography, Cancer
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: To evaluate the potential of a machine learning based tool (Mammorisk) 1 to change breast cancer risk assessment over the next five years in women with intermediate risk because of breast cancer familiarity, in order to be able to tailor...

Published
2023
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24. CT- based body composition in non-Hodgkin lymphoma patients: changes after treatment and association with response and survival

Author

Zancan, Giovanni

Subjects
Computer Applications-General, Musculoskeletal system, Tissue characterisation, Musculoskeletal soft tissue, Musculoskeletal bone, CT
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: PET-CT acquisition is the most common staging technique for patients with non-Hodkin lymphoma [1]. Exploiting the contextually acquired CT images, the primary objective was to assess the association between bone mineral density (BMD) in non-Hodkin...

Published
2023
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25. Automated T1 mapping quantification of the liver with deep-learning based 3D T1 vibe Dixon liver parenchyma segmentation and affine transformation with voxel-wise co-registration

Author

Huber, Adrian

Subjects
Computer Applications-General, Computer applications, MR, Image registration
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: The objective of this study was to evaluate the feasibility of an automated T1 mapping quantification of the liver parenchyma with a deep learning-based 3D T1 vibe Dixon in-phase liver parenchyma and vessels segmentation combined with voxel-wise...

Published
2023
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26. Facial trauma: It´s about time to face it

Author

Gutiérrez Rodríguez, Rocío

Subjects
Head and neck, Computer Applications-General, Bones, MR, Contrast agent-intravenous, Trauma, CT-Angiography, CT
Abstract

Learning objectives Background Findings and procedure details Conclusion Personal information and conflict of interest References, Learning objectives: - To show a systematic, easy and fast approach to facial trauma. - To highlight potential complications of facial...

Published
2023
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27. Driving mammography image quality improvement using A.I. in Guyana during the COVID-19 pandemic

Author

Abdolell, Mohamed

Subjects
Computer Applications-General, Observer performance, Artificial Intelligence, Education and training, Screening, Breast, Quality assurance, Mammography
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Purpose: This study evaluates A.I.’s impact on mammography image quality improvement in Guyana during the COVID-19...

Published
2023
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28. Training and Leadership in the Healthcare Professions: Digital Technologies and Pedagogical Innovation

Author

Perfili, Mirko

Subjects
Experimental, Computer Applications-General, Artificial Intelligence, Education and training, Computer applications, Neural networks, Education
Abstract

Learning objectives Background Findings and procedure details Conclusion Personal information and conflict of interest References, Learning objectives: The paper proposes new technologies, including the use of artificial intelligence and adaptive learning, as well as a new system called "Mirror" to personalize the training experience for...

Published
2023
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29. Automatic lung segmentation on ultra-short echo-time MRI via deep learning-based cross-modality domain adaptation

Author

Xin, Bowen

Subjects
Computer Applications-General, Genetic defects, Image guided radiotherapy, Artificial Intelligence, Computer applications, Technology assessment, MR, Lung, Neural networks
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Ultra-short echo-time (UTE) magnetic resonance imaging (MRI) has shown promise in phenotyping lung diseases, as it provides millimetre resolution and radiation-free measurement of pulmonary structural abnormality [1]. In this work, we aimed to...

Published
2023
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30. The Top 100 Most Cited Articles on Artificial Intelligence in Radiology: A Bibliometric Analysis

Author

McVeigh, Niall

Subjects
Computer Applications-General, Artificial Intelligence, Computer Applications-Detection, diagnosis, Education and training, Digital radiography, Image manipulation / Reconstruction, Neural networks, Education
Abstract

Learning objectives Background Findings and procedure details Conclusion Personal information and conflict of interest References, Learning objectives: Healthcare is struggling to keep up with technological advances and patient expectations in relation to service provision [1]. There has been a significant surge in attempts to incorporate artificial intelligence (AI) into clinical medicine in order...

Published
2023
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31. Exploring a simplified way to diagnose pelvic lipomatosis: prediction of pelvic fat volume using a single cross-sectional image

Author

Bai, Xin

Subjects
Genital / Reproductive system male, Computer Applications-General, Computer Applications-3D, Artificial Intelligence, Computer Applications-Detection, diagnosis, Abdomen, MR, CT-Quantitative, CT, Cancer
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: To investigate the relationships between areas of subcutaneousadipose tissue (SAT) and visceral adipose tissue (VAT) and pelvic fat volume (PFV), and analyzethe feasibility of diagnosing pelvic lipomatosis (PL) from a single cross-sectional...

Published
2023
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32. Beyond the bubble: air-filled lesions: thorax and mediastinum

Author

Lovotti, Luciano

Subjects
Computer Applications-General, Cavitation, Arteries / Aorta, Fistula, Cysts, Vascular, Radiation effects, Thorax, CT-Angiography, CT
Abstract

Learning objectives Background Findings and procedure details Conclusion Personal information and conflict of interest References, Learning objectives: We will briefly list local sources of ectopic gas in each space, followed by a revision of the local anatomy, highlighting the main connections among spaces. A stepwise diagnostic approach to cystic lung diseases. Recognize the characteristic...

Published
2023
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33. Reproducibility of MRI Radiomics Features for Brain Metastases using 3D-T1W-TSE at 1.5T and 3T MRI

Author

Xue, Cindy

Subjects
Computer Applications-General, Artificial Intelligence, Neuroradiology brain, MR, Metastases, Imaging sequences, Cancer
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Radiomics is a field of medical study that aims to extract a large number of quantitative features from medical images using data characterization algorithms. It holds potentials to uncover disease characteristics that fail to be appreciated by the...

Published
2023
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34. Venous thoracic outlet syndrome: what radiologists should know

Author

Styliara, Effrosyni

Subjects
Computer Applications-General, Vascular, Ultrasound-Colour Doppler, Contrast agent-intravenous, CT-Angiography, Embolism / Thrombosis, CT
Abstract

Learning objectives Background Findings and procedure details Conclusion Personal information and conflict of interest References, Learning objectives: To describe thoracic outlet syndrome (TOS) and its classification. To interpret epidemiology, pathogenesis and clinical presentation of Venous Thoracic Outlet Syndrome (VTOS). To discuss the role of radiology in diagnostic approach, the differential...

Published
2023
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35. QA of commercial dose-monitoring systems: A comparative study of two freely available software packages for use as reference software

Author

Pace, Eric

Subjects
Computer Applications-General, Physics, Abdomen, Computer applications, Radioprotection / Radiation dose, Acceptance testing, Quality assurance, CT
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: An important patient-size related dose metric in CT is the Size Specific Dose Index (SSDE). This index, developed by AAPM [1, 2] is calculated from the machine/protocol CTDIvol (including phantom type) and a patient-size related quantity (PA/LAT...

Published
2023
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36. Essential Radiology of Chest Trauma: updating concepts

Author

Gené Orriols, Anna

Subjects
Computer Applications-General, Computer Applications-3D, Computer Applications-Detection, diagnosis, Emergency, Plain radiographic studies, Thorax, Acute, Trauma, Image manipulation / Reconstruction, CT
Abstract

Learning objectives Background Findings and procedure details Conclusion Personal information and conflict of interest References, Learning objectives: To review imaging findings in patients with thoracic trauma and suggest a systematic approach to radiographic and CT...

Published
2023
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37. The Many Faces of ROC Curves - Understanding the different types of ROC curves and their appropriate applications

Author

Venugopal, Vasanthakumar

Subjects
Experimental, Computer Applications-General, Image verification, Computer applications
Abstract

Learning objectives Background Findings and procedure details Conclusion Personal information and conflict of interest References, Learning objectives: To understand the different types of ROC curves and their appropriate...

Published
2023
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38. Automated System of Breast Cancer Contour Complexity on MRI : Reflection of ’Healing Status’

Author

Matsubayashi, Roka

Subjects
Computer Applications-General, Pathology, Tissue characterisation, Breast, Computer applications, MR, Cancer
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: We developed the automated system to evaluate the complexity of the contour of invasive breast cancers (IBCs) and we previously showed that IBCs differ significantly in contour complexity among subtypes. In the present study we examined the...

Published
2023
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39. Deep Learning-Based Reconstruction for Acceleration of Spine MRI for Degenerative Lumbar Diseases: a Prospective Evaluation in 50 Patients

Author

Yoo, Hyunsuk

Subjects
Computer Applications-General, MR, Artifacts, Neuroradiology spine
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: To propose an accelerated lumbar spine MRI protocol utilizing a DLbased reconstruction algorithm for highly accelerated spin-echo data acquisition. We aimed to compare the image quality and diagnostic performance of readers for degenerative lumbar...

Published
2023
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40. Process mining: a new approach for improving patients’ care path in high volume Radiation Oncology department

Author

Mastroleo, Federico

Subjects
Computer Applications-General, Image guided radiotherapy, Oncology, Artificial Intelligence, Computer applications, Radiation therapy / Oncology, Radiotherapy techniques, CT, Cancer
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Process mining is a machine-learning study methodology which can help clinicians to discover, monitor and improve processes by extracting real-word data for accurate and efficient workflow prototyping and visualization. The aim of this work is to...

Published
2023
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41. Relationship between aggregation state and magnetic moment of magnetic colloidal particles

Author

Wang, Haoyao

Subjects
Experimental, Computer Applications-General, Biological effects, Computer applications
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: 2 In recent years, magnetic nanoparticles have attracted much research interests for their potential applications in targeted drug delivery [1] , magnetic hyperthermia [2] and medical imaging diagnosis [3] such as Magnetic Resonance Imaging (MRI)...

Published
2023
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42. Primary brain cancer therapy response monitoring via artificial intelligence leads to novel and readily accessible prognostic markers

Author

van der Loo, Iris

Subjects
Computer Applications-General, Oncology, Artificial Intelligence, Neuroradiology brain, Technology assessment, MR, Diagnostic procedure, Cancer
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Evaluating tumor response to treatment plays an important role in treatment decision-making. Response Assessment in Neuro-Oncology (RANO) criteria for MRI are currently the most used to quantify treatment response in brain tumors. These criteria are...

Published
2023
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43. A.I. Supports Mammography Image Quality Improvement

Author

Spear, Elle

Subjects
Computer Applications-General, Artificial Intelligence, Education and training, Screening, Breast, Quality assurance, Mammography
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: The aim of this study was to validate that Artificial Intelligence (A.I.) can be used to establish population-level mammography image quality and positioning error benchmarks as an important step in a continuous quality improvement...

Published
2023
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44. Natural Language Processing in Protocol Selection for Finnish Brain MRI Referrals

Author

Huhtanen, Heidi

Subjects
Computer Applications-General, Artificial Intelligence, Neuroradiology brain, Emergency, MR, Acute, Neural networks
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Selecting appropriate imaging protocols for new referrals demands radiologist attention and may interrupt emergency imaging workflow. Constant interruptions are a risk factor for errors and can decrease the efficiency of the interpretation work. [1]...

Published
2023
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45. IMPACT OF TIN FILTER-BASED CT PROTOCOL ON DOSE PARAMETERS FOR UROLITHIASIS AFTER RIRS (Retrograde Intra Renal Surgery): OUR PRELIMINARY EXPERIENCE

Author

Storer, Silvia

Subjects
Computer Applications-General, Artificial Intelligence, Computer Applications-Detection, diagnosis, Dosimetry, Calcifications / Calculi, Abdomen, Kv imaging, Dosimetric comparison, Urinary Tract / Bladder, CT
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Urolithiasis is one of the most common diagnosis leading to urologic referral, with a reported prevalence in Western countries ranging from 1-20%. 1 Despite clinical symptoms and laboratory results, imaging plays a central role in the diagnosis of...

Published
2023
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46. Graph neural networks to investigate connectome features and their association to clinical variables after surgery in epilepsy patients: a feasibility study

Author

Burger, Bianca

Subjects
Computer Applications-General, Neuroradiology brain, Seizure disorders, MR-Functional imaging
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Representing the brain as a functional connectome enables capturing the network aspects of its function, as well as effects of disease and treatment [1]. Graph neural networks enable representing connectivity observed with fMRI [2,3]. However, their...

Published
2023
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47. Using topograms to determine patient size in CT dose audit and optimisation

Author

Holubinka, Mike

Subjects
Computer Applications-General, Physics, Audit and standards, Computer applications, Radioprotection / Radiation dose, Dosimetric comparison, Radiation physics, CT
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Purpose UK National Diagnostic Reference Levels (NDRLs) in CT [1] and ICRP 135 [2] advocate sufficiently large samples of patients for dose audit. This, it is suggested, would ensure that the sample is representative of the population, albeit that...

Published
2023
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48. Are experts needed for the segmentation of radiographs for AI research? - An interreader study assessing the link between experience and segmentation quality

Author

Multusch, Malte

Subjects
Computer Applications-General, Foreign bodies, Segmentation, Artificial Intelligence, Computer applications, Thorax, Infection, Conventional radiography
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: Successful Artificial Intelligence (AI) research requires access to large amounts of high-quality data for training algorithms to perform effectively. One of the biggest challenges in AI research is the scarcity of annotated data, which is data that...

Published
2023
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49. Investigating the feasibility of using A.I. for population-level mammography image quality improvement initiatives at Leeds Teaching Hospitals NHS Trust

Author

Sharma, Nisha

Subjects
Computer Applications-General, Observer performance, Artificial Intelligence, Screening, Breast, Quality assurance, Mammography
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: The purpose of this study was to investigate the feasibility of using artificial intelligence (AI) to measure and monitor population-level mammography (MG) image quality at Leeds Teaching Hospitals NHS Trust...

Published
2023
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50. Apparent Diffusion Coefficient (ADC) High-Order Radiomics of Baseline and Post-treatment Advanced MRI of extremity Soft-Tissue Undifferentiated Pleomorphic Sarcoma

Author

Duran-Sierra, Elvis

Subjects
Computer Applications-General, Musculoskeletal system, Oncology, Neoplasia, Computer Applications-Detection, diagnosis, Education and training, Musculoskeletal soft tissue, Outcomes, MR, PACS, Outcomes analysis, MR-Functional imaging
Abstract

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References, Purpose: To determine the changes in pre and post-therapeutic Apparent Diffusion Coefficient (ADC) values for Undifferentiated Pleomorphic Sarcomas (UPS) and to correlate them with tumor treatment response. To determine the value of ADC high-order radiomic...

Published
2023
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