The authors studied the hypothesis that oncocytoma and adenocarcinoma of the kidney can be differentiated with computed tomographic (CT) criteria and that differences would become more apparent as tumors enlarged. On contrast material-enhanced scans, homogeneous attenuation throughout the tumor and a central, sharply marginated, stellate area of low attenuation were considered predictors of oncocytoma. Any area of decreased attenuation in the tumor except for a stellate, central area was used as a predictor of adenocarcinoma. Among oncocytomas larger than 3 cm in diameter, 67% exhibited the criteria for oncocytoma and 33% met the criterion for adenocarcinoma; among smaller oncocytomas, the respective results were 82% and 18%. Among adenocarcinomas larger than 3 cm in diameter, 84% fulfilled the criterion for malignancy and 16% were incorrectly predicted to be oncocytomas; among smaller adenocarcinomas, the respective results were 58% and 42%. The authors conclude that the CT criteria used are poor predictors of the diagnosis of oncocytoma or adenocarcinoma regardless of tumor size.
Telemedicine promises greater access to health care of higher quality, potentially at lower cost. The diverse applications of telemedicine technology developed to date have not been evaluated systematically in terms of their ability to achieve these goals. Furthermore, the great variety in telemedicine applications and the far-reaching consequences of new information systems for health care delivery pose challenges to traditional methods of technology assessment. Methods appropriate for mature technologies may not be suitable for emerging ones and, indeed, may risk stifling their development with premature negative conclusions. The staged approach to technology assessment proposed here matches the analysis to the technology's stage of development. It focuses on access, quality, and cost and considers the communication pathway employed in the telemedicine application. A staged approach to technology assessment can inform and foster the development of new telemedicine technology while allowing health care delivery systems to make rational decisions about adopting telemedicine.
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