In a few years we are likely to see 3D images generated instantly, and with comparable resolution to today's 2D views. Inclusion of functional information, possibly at the molecular level, could also assist in clinical decision-making. Some specialist clinicians with intimate knowledge of their field of interest are likely to have a better understanding of the pathology and physiology of an organ system than a general radiologist. So given that the images will be presented in a more familiar format, why should clinicians and surgeons wait for a general radiologist to read them? If radiologists wish to retain their role as the experts in image interpretation, they will not only need a thorough understanding of imaging and radiological anatomy, but also a detailed understanding of pathology and physiology. It is clearly unrealistic to expect most people to gain that knowledge across a range of fields, hence the need for subspecialization. There are already commercial moves to harness the expertise of superspecialist radiologists, using teleradiology, to provide expert opinions in particularly difficult cases. This is just the beginning of a major shift in the pattern of practice in radiology. The radiology community cannot ignore impending technological developments. If radiologists take no interest in the emergence of highly detailed, user-friendly images, then the clinicians and surgeons will organise their own department-based image interpretation. However, radiologists are very good at adapting to technological change and are very likely to rise to these challenges. Far from having a sell-by date, radiology has a bright future.
Radiology ; standards ; trends ; Time Factors

No abstract available.
*Diagnostic Imaging ; Human ; Radiology/*trends ; Radiology, Interventional ; Specialties, Medical

Clinical Competence ; Humans ; Outsourced Services ; Radiology ; education ; trends ; Radiology Information Systems

In this paper, the R-PS integration technique of the digital radiology is discussed. By the integration of the RIS and PACS, all data and information of each system and each medical image equipment in R-PS can be exchanged according to DICOM3.0, and seamless linkage can be realized by module interfaces. R-PS has many advantages such as share, safety, compatibility, practicability and feasibility. Standardization of communication interface, modularization of application and resource share of medical information can be realized by this technique.
Computer Communication Networks ; Hospital Information Systems ; Humans ; Radiographic Image Interpretation, Computer-Assisted ; Radiology ; trends ; Radiology Information Systems ; Software ; Systems Integration ; Teleradiology

In this paper a brief history of the development of PACS in China is reviewed, the current status of PACS is presented, and its development in the future is discussed.
China ; Humans ; Image Processing, Computer-Assisted ; Medical Records Systems, Computerized ; Radiology Information Systems ; organization & administration ; trends ; Technology, Radiologic

Radiology is a unique medical specialty that focuses on image interpretation and report generation with limited patient contact. Resident read-out sessions with teaching are a quintessential part of reporting workflow practices in teaching institutions. However, most radiologist-educators do not have formal training in teaching and learning experiences vary. The five-step 'microskills' model ('one-minute preceptor' technique) developed by Neher is an easily adopted teaching model that complements the workflow of the typical read-out session, and can be utilised by radiologists of varied teaching experience and seniority. The steps are: (a) get a commitment; (b) probe for supporting evidence; (c) teach general rules; (d) reinforce what was done right; and (e) correct mistakes. Feedback is important to the model and accounts for two out of five microskills. The teaching model emphasises knowledge application and establishing relevance, which is useful in engaging the millennial resident. It is easily assimilated and applied by radiologist-educators.
Curriculum ; Education, Medical ; methods ; Humans ; Internship and Residency ; Learning ; Physicians ; Preceptorship ; Radiographic Image Interpretation, Computer-Assisted ; Radiography ; Radiology ; education ; trends ; Teaching

Within six months of the discovery of X-ray in 1895, the technology was used to scan the interior of the human body, paving the way for many innovations in the field of medicine, including an ultrasound device in 1950, a CT scanner in 1972, and MRI in 1980. More recent decades have witnessed developments such as digital imaging using a picture archiving and communication system, computer-aided detection/diagnosis, organ-specific workstations, and molecular, functional, and quantitative imaging. One of the latest technical breakthrough in the field of radiology has been imaging genomics and robotic interventions for biopsy and theragnosis. This review provides an engineering perspective on these developments and several other megatrends in radiology.
Biological Markers/analysis ; Biomedical Engineering ; Diagnosis, Computer-Assisted/*trends ; Diagnostic Imaging/*trends ; Equipment Design ; Genomics ; Humans ; Image Processing, Computer-Assisted/*trends ; Radiology Information Systems/*trends ; Robotics ; Systems Integration ; User-Computer Interface

Digital Image Communication in Medicine (DICOM) defines a standard method to store and transmit digital medical image information, in which there is a piece of implemented protocol named DICOM-RT that specially addresses both the transmission of radiation therapy image data and the ancillary data. In this paper, we firstly introduce the DICOM-RT with the emphases on its components, relationship with radiotherapy and how to produce the DICOM-RT object that refer to some certain radiotherapy information. Then we expatiate on the impact that benefits from applying DICOM-RT to radiotherapy, with an aid to accelerate its application in China.
Automatic Data Processing ; Computer Communication Networks ; Humans ; Radiology Information Systems ; standards ; Radiotherapy ; standards ; trends ; Radiotherapy, Computer-Assisted ; methods ; Tomography, X-Ray Computed

Tumor response may be assessed readily by the use of Response Evaluation Criteria in Solid Tumor version 1.1. However, the criteria mainly depend on tumor size changes. These criteria do not reflect other morphologic (tumor necrosis, hemorrhage, and cavitation), functional, or metabolic changes that may occur with targeted chemotherapy or even with conventional chemotherapy. The state-of-the-art multidetector CT is still playing an important role, by showing high-quality, high-resolution images that are appropriate enough to measure tumor size and its changes. Additional imaging biomarker devices such as dual energy CT, positron emission tomography, MRI including diffusion-weighted MRI shall be more frequently used for tumor response evaluation, because they provide detailed anatomic, and functional or metabolic change information during tumor treatment, particularly during targeted chemotherapy. This review elucidates morphologic and functional or metabolic approaches, and new concepts in the evaluation of tumor response in the era of personalized medicine (targeted chemotherapy).
Antineoplastic Agents/*therapeutic use ; *Diagnostic Imaging/standards/trends ; Forecasting ; Humans ; Individualized Medicine ; Neoplasms/*drug therapy/*pathology ; *Outcome Assessment (Health Care) ; Practice Guidelines as Topic ; Radiology/standards/trends ; World Health Organization