| Title page | Introduction | Internet | Teaching file | Sharing | Conclusion | References |
| Table 1 | Table 2 | Table 3 | Table 4 | Figure 1 | Figure 2 |
Use of a digital teaching file has several disadvantages, however. Images (especially radiographs) may not be stored at their full resolution due to limitations of the storage and network speed; additionally, if the films were not acquired in electronic form, there may be slight degradation of the image during the process of scanning the image. Presentation of cases to a group of residents requires use of a large monitor or expensive projection equipment. Finally, unless creation of digital cases is as easy as the making of cases in a film-based teaching file, there will be resistance to the addition of new teaching material.
To be useful for teaching, the cases should be viewable both without the diagnoses (as "unknowns") and with the accompanying diagnoses and discussion (as "known" cases). Useful components of the presentation are shown in Table 2
For the purposes of a teaching file, it may be best to be able to "share" text among cases, that provides a general discussion of diagnostic imaging in that clinical setting. For example, following the discussion specific to individual cases, all cases of ventilation- perfusion imaging might have a link to a general page offering information regarding the utility of such imaging in the diagnosis of pulmonary embolism. As new data became available, this single common page could be updated, rather than having redundant (and possibly outdated) information residing in each individual case discussion. A prototype system which illustrates the use of known and unknown pages, flexible case formatting, shared text, and links to similar cases is available (11). A system demonstrating the use of online diagnostic workup strategies has also been developed (21).
More specific sub-specification of both the anatomic and pathologic codes is available, and is particularly necessary for the last three pathologic categories. Indexing programs using this classification are available for personal computers from ACR, and World-Wide-Web links to Internet sites demonstrating searching and indexing are available. Although indexing using the full ACR code is desirable, it is likely that searching using the broad categories above coupled with the ability to search text-words in the diagnosis will suffice for most users. One area of deficiency of the ACR classification is that of exam type. While it is possible to code broad groups of studies using this scheme, specific examination types may not be listed. For example, Gallium-67 imaging, In-111 labeled white blood cell imaging, and Tc-99m HMPAO white cell imaging are all specified as "inflammation-avid imaging." Since searching by exam type is desirable for a nuclear medicine teaching file, a standardized list of exam types has been developed at Mallinckrodt Institute of Radiology, which is available on-line.
As usage of on-line systems grows, it will be beneficial to have cross linking among the ACR classifications and other standardized nomenclatures, such as the MESH terminology, SNOMED, ICD9, and other vocabularies. The Unified Medical Language System (UMLS) developed by the National Library of Medicine provides this mapping designating a concept and providing links to all variations of that concept, including know synonyms, in other taxonomies (23).
Another relatively unexplored area is that of classification by scintigraphic findings. It may be useful to be able to retrieve cases that have similar characteristics to a clinical case under discussion, such as increased gallium uptake in the lungs. To date, these needs have been most effectively addressed by books of gamuts (24) and differential diagnoses (25). Initial feature-based classification schemes have been proposed in other areas of radiology; an example is the Image/ ICON system of Swett et al. (26).
| Title page | Introduction | Internet | Teaching file | Sharing | Conclusion | References |
| Table 1 | Table 2 | Table 3 | Table 4 | Figure 1 | Figure 2 |