Abstract Voice recognition (VR) technology needs improvement, but is as integral to the current practice of radiology as Radiology Information Systems and Picture Archival and Communication Systems. In the 1990s, the radiology community gave VR technology a rather lukewarm reception, but since then it has emerged as the predominant method of radiology reporting in the
Voice recognition is here comma like it or not period. Read More »
Abstract Teleradiology has had a major impact in decreasing report turnaround time, and in improving service levels in the emergency setting. Teleradiology in the emergency setting is usually associated with a strong peer review and quality assurance process. It has generated a cadre of specialized generalists, who excel in acute care interpretation. Hence report quality
The role of teleradiology in emergency radiology provision Read More »
It is a fact that the health of a country is measured by the health of its children, as healthy children grow into healthy adults. Children under 14 constitute a significant one third of our population. Prevention and care of paediatric diseases therefore constitutes the cornerstone of our nation’s healthcare system. Radiology, the science of
Pediatric imaging in India – Challenges and solutions Read More »
Abstract Through strict adherence to continuous quality improvement (CQI) methodology, over a 3 year period our teleradiology practice was able to achieve ongoing 100% compliance with our turn-around-time (TAT) goal for interpretation of stroke protocol head CTs. During the 3 years prior to implementing CQI, our efforts to reduce TAT through traditional less systematic methods
Abstract Background:Renal transplantation is the definitive therapy for the end stage renal disease. This study was undertaken to assess the role of MDCT (64-slice) in the preoperative evaluation of living potential renal transplantation donors for transplantation. Methods: This prospective one year study included 31 potential living renal donors aged between 22-69 years, sent to the department
Abstract Purpose: Emergency radiology requires rapid and accurate interpretation of imaging examinations. Missed findings may lead to adverse outcomes. Double reporting may be used to minimize errors. Limited contemporaneous double reporting may be most efficient and cost-effective, but no data exists. This study is intended to examine the benefits of double reading and identify examinations where
Utility of contemporaneous dual read in the setting of emergency teleradiology reporting Read More »
Abstract Background: Transplantation surgeons are now performing living donor liver transplantation because of the severe shortage of cadaveric livers. This study was undertaken to assess the role of 64-slice multidetector CT in the pre op evaluation of living related liver donors for transplantation. Methods: This was a prospective correlation study of 26 patients who were referred to
Abstract Introduction: Gastric volvulus is a rare cause of acute or recurring abdominal pain in adults, with significantmortality and morbidity. Gastric volvulus is rotation of stomach along its axis, causing gastric outlet obstructionand can result in ischaemia and infarction. Aim: Evaluation of differentiating findings of organoaxial, and mesenteroaxial types of gastric volvulus on Multidetector Computed
MDCT appearance of Organoaxial, Mesenteroaxial Types of Gastric Volvulus Read More »
Abstract Background and objective: Serum D-dimer assay is an inexpensive laboratory test with a high negative predictive value, obviating the need for computed tomographic pulmonary angiography (CTPA) in patients with low clinical probability of thromboembolic disease. It has been recommended that CTPA may be performed only in patients with positive D-dimer assays and clinical suspicion of PTE (pulmonary
Abstract The coronavirus disease of 2019 (COVID-19) pandemic exposed a limitation of artificial intelligence (AI) based medical image interpretation systems. Early in the pandemic, when need was greatest, the absence of sufficient training data prevented effective deep learning (DL) solutions. Even now, there is a need for Chest-X-ray (CxR) screening tools in low and middle
