No abstract

Lossy 10:1 compression is suitable for on-call electronic transmission of body CT images as long as original images are subsequently reviewed.

Although teleradiology is presently being used extensively in the United States-for both overseas subspecialty consultations and overnight coverage of imaging services at domestic medical centers-there has been limited investigation of its potential to help provide staffing support to U.S. medical centers from offshore locations. In this review, the authors describe an empirical assessment of the clinical feasibility and applicability of body computed tomographic (CT) image cases that originated at a U.S. university hospital being interpreted nearly contemporaneously by a staff radiologist in India. During a 3-month period, nonemergent CT cases obtained at a tertiary care institution (Yale-New Haven Hospital) were transmitted daily to a satellite reading facility in Bangalore, India. The cases were interpreted at the satellite reading facility by a faculty member radiologist who maintained hospital privileges and academic appointment at the parent institution in the United States. CT imaging reports were transcribed and uploaded directly to the parent institution's radiology information system. Technical problems temporarily prevented the transfer of image cases twice during the study period. Overall, the project results demonstrated the feasibility and reliability of an international teleradiology staffing model.

We undertook this project to integrate context sensitive computer-based educational and decision making aids into the film interpretation and reporting process, and to determine the clinical utility of this method as a guide for further system development. An image database of 347 digital mammography images was assembled and image features were coded. An interface was developed to a computerized speech recognition radiology reporting system which was modified to translate reported findings into database search terms. These observations were used to formulate database search strategies which not only retrieved similar cases from the image database, but also other cases that were related to the index case in different ways. The search results were organized into image sets intended to address common questions that arise during image interpretation. An evaluation of the clinical utility of this method was performed as a guide for further system development. We found that voice dictation of prototypical mammographic cases resulted in automatic retrieval of reference images. The retrieved images were organized into sets matching findings, diagnostic hypotheses, diagnosis, spectrum of findings or diagnoses, closest match to dictated case, or user specified parameters. Two mammographers graded the clinical utility of each forro of system output. We concluded that case specific and problem specific image sets may be automatically generated from spoken case dictation. A potentially large number of retrieved images may be divided into subsets which anticipats common clinical problems. This automatic method of context sensitive image retrieval may provide a "continuous" form of education integrated into routine case interpretation.

The purpose of the study was to determine the feasibility of international teleradiology, utilizing day-night time differences, for online interpretation of overnight computed tomography (CT) studies. One hundred and two consecutive Emergency Room patients who underwent CT examinations between the hours of 11 pm and 7 am were enrolled. All age groups and study types were included. CT studies were transmitted from the in-hospital PACS system (Kodak, Fremont, Calif.) to a web-based server (Medweb, San Francisco, Calif.). A radiologist in Bangalore, India, working an 8 amto 4 pm day shift, downloaded and reviewed the studies on a desktop PC using a 128-kbps internet connection at 10-20:1 wavelet compression and generated a report. The report was then uploaded to the server, noting the time at upload. Each study report was compared with the official in-house diagnostic report and concordance assessed on a three-point scale. Mean download time was 8.14 s per image. For head CT reports ( n=47), the mean turnaround time for a final transcribed report was 39.5 min. For abdomen/pelvis CT reports ( n=48) the mean turnaround time was 84.4 min. Out of 106 cases, there was discordance between the clinical diagnostic report and the study report in 20 (19%); however, on subsequent review the teleradiology report was found to be correct in 13 of these. Day-night time differences across the globe can be utilized to provide overnight emergency radiology coverage using web-based teleradiology. Scan download and report upload times are within acceptable limits.