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Medical Imaging Informatics
Published in Arvind Kumar Bansal, Javed Iqbal Khan, S. Kaisar Alam, Introduction to Computational Health Informatics, 2019
Arvind Kumar Bansal, Javed Iqbal Khan, S. Kaisar Alam
The science of imaging informatics is the study and application of processes of information and communications technology for the acquisition, manipulation, analysis and distribution of image data. Medical imaging allows acquisition, long-term storage, analysis, retrieval, transmission of medical images and aiding clinical diagnoses. New improved computational intelligence techniques have been employed in various applications of medical imaging. In this chapter, we present some of the latest trends and developments in computational intelligence in medical imaging.
Informatics in Radiology
Published in Alexander Peck, Clark’s Essential PACS, RIS and Imaging Informatics, 2017
Radiology services have become increasingly dependent on computers and digital technologies for their routine activities, especially evident from the millennium onwards in a similar way to other areas in healthcare. Imaging informatics is the collective name given to the field of work and combination of technologies that provide the features of a paper-less or paper-lite department. In particular, imaging informatics is concerned as a speciality with the electronic acquisition, storage, and distribution of the text and image data produced and utilised within a diagnostics department (Radiology, Pathology, Cardiology, etc.) for the wider provision of care and benefit to patients. Imaging informatics is a sub-speciality of health informatics, which is itself defined as: ‘The knowledge, skills and tools which enable information to be collected, managed, used and shared to support the delivery of healthcare and promote health’ (Department of Health, 2002).
Patient Journey and Examination Timeline
Published in A Stewart Whitley, Charles Sloane, Gail Jefferson, Ken Holmes, Craig Anderson, Clark's Pocket Handbook for Radiographers, 2016
A Stewart Whitley, Charles Sloane, Gail Jefferson, Ken Holmes, Craig Anderson
Image quality.Patient aspects.Imaging informatics.
The expression of CD30 and its clinico-pathologic significance in peripheral T-cell lymphomas
Published in Expert Review of Hematology, 2021
Kennosuke Karube, Yoshihide Kakimoto, Yukio Tonozuka, Koichi Ohshima
Reports to date also show that CD30 evaluation in PTCL and CTCL is currently hindered by a lack of standardization of assessment and reporting. IHC detection is the most established and cost-effective technique, but FCM offers several advantages and is increasingly utilized in clinical practice. The importance of assessing and categorizing staining patterns and the intensity of CD30 expression should also be determined. Issues around CD30-expression reporting include a lack of consensus on cutoff values that should denote CD30-expressing cases and the question of whether CD30-expressing cells should be reported as a percentage of malignant cells or of total lymphoid cells. Quantitative analysis of CD30 protein expression may be another option in the future with improvements in imaging informatics. Thus, automated analysis of CD8+ and PD-L1+ has been performed in patients with non-small-cell lung cancer and may help identify patients with improved response to immune checkpoint therapy [59]. The introduction of artificial intelligence-based devices has the potential to standardize the evaluation of tissue biomarkers and to enable discovery of novel information not detected by individual review, which could be used in treatment decisions [60,61].