Computer-assisted discrimination among malignant lymphomas and leukemia using immunophenotyping, intelligent image repositories, and telemicroscopy

The process of discriminating among pathologies involving peripheral blood, bone marrow, and lymph node has traditionally begun with subjective morphological assessment of cellular materials viewed using light microscopy. The subtle visible differences exhibited by some malignant lymphomas and leukemia, however, give rise to a significant number of false negatives during microscopic evaluation by medical technologists. We have developed a distributed, clinical decision support prototype for distinguishing among hematologic malignancies. The system consists of two major components, a distributed telemicroscopy system and an intelligent image repository. The hybrid system enables individuals located at disparate clinical and research sites to engage in interactive consultation and to obtain computer-assisted decision support. Software, written in JAVA, allows primary users to control the specimen stage, objective lens, light levels, and focus of a robotic microscope remotely while a digital representation of the specimen is continuously broadcast to all session participants. Primary user status can be passed as a token. The system features shared graphical pointers, text messaging capability, and automated database management. Search engines for the database allow one to automatically identify and retrieve images, diagnoses, and correlated clinical data of cases from a "gold standard" database which exhibit spectral and spatial profiles which are most similar to a given query image. The system suggests the most likely diagnosis based on majority logic of the retrieved cases. The system was used to discriminate among three lymphoproliferative disorders and healthy cells. The system provided the correct classification in more than 83% of the cases studied. System performance was evaluated using rigorous statistical assessment and by comparison with human observers.

Long-term survival in an adolescent with widely metastatic renal cell carcinoma with rhabdoid features

Renal cell carcinoma is rarely seen in children and adolescents. Patients with widespread disease at diagnosis have a particularly poor survival rate. Currently, all known chemotherapy has been ineffective in improving the median survival in patients with advanced disease. A 13-year-old black boy with stage IV renal cell carcinoma with rhabdoid features is a long-term disease-free survivor after aggressive multiagent chemotherapy. After the initial evaluation and histologic diagnosis of renal cell carcinoma, the patient received three courses of an aggressive chemotherapy regimen consisting of vincristine, doxorubicin, cyclophosphamide with mesna uroprotection, granulocyte colony-stimulating factor and erythropoietin (Epogen). After an almost complete response, a radical nephrectomy was performed and results demonstrated a solitary small nodule with viable tumor. After surgery, he received floxuridine infusion for 14 days by circadian schedule at 28-day intervals for a total of 1 year. The patient is well and free of disease 5 years after initial presentation. The dramatic response to treatment and long-term disease-free survival of this patient suggest this chemotherapeutic approach warrants additional investigation.

A network-based prototype for interactive telemedicine & automated management of distributed, clinical databases

A network-based prototype has been developed to automate the process of generating and maintaining distributed databases of medical images and clinical reports, and for conducting interactive consultation among disparate clinical and research sites irrespective of the architecture of interacting computers. Pathologists routinely interpret gross and microscopic specimens to tender diagnoses and to engage in a broad spectrum of research. This assessment process leads to clinical decisions often limited by time constraints and by the availability of local expertise. Consultation with peers at other institutions is typically achieved by direct transfer of slides rather than images. A network of heterogeneous computer platforms, graphical user interfaces, and operating systems was established to test the performance of the software. Clinical diagnoses rendered by pathologists using the prototypical system and software were consistent with those reported two years earlier using conventional light microscopy in more than 97% of the cases studied.