A web-based database for diagnosis of haematologic neoplasms using immunophenotyping by flow cytometry.
The interpretation of immunophenotyping results by flow cytometry involves pattern recognition of different haematologic neoplasms that may have similar immunologic marker patterns. The numerous markers available in the flow cytometry laboratory make these patterns difficult to remember, especially for those of uncommon neoplasms. We describe the design and implementation of a Web-based database for diagnosis of haematologic neoplasms using results of immunophenotyping by flow cytometry. This database aims to assist pathology and haematology residents in interpreting flow cytometry data, and is designed to reach a wide base of users who use a variety of browsers on different computer platforms. Five modules are developed in this comprehensive program: (a) differential diagnosis: to generate a list of differential diagnoses that closely match the marker results in a given case; (b) display of disorders: typical results of markers for each disorder; (c) display of markers: relevant information of each immunologic marker; (d) display of archived cases for a disorder: marker results of cases previously diagnosed for a disorder; and (e) display of summary for archived cases: summary of marker results of all the archived cases for each disorder. Our experience with this Web-based database in teaching pathology residents has been very encouraging. Since the World Wide Web is increasingly more accessible to computer users, it has become an ideal medium for distribution of clinical decision-support software.
Nguyen
A
A
Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, 77030, USA. Nghia.D.Nguyen@uth.tmc.edu
Wu
S
S
Jalali
M
M
Uthman
M
M
Johnson
K
K
Banez
E
E
D015703:Antigens, CD; D014408:Biomarkers, Tumor; D003196:Computer Graphics; D016208:Databases, Factual; D020000:Decision Support Systems, Clinical; D003936:Diagnosis, Computer-Assisted; D003937:Diagnosis, Differential; D005434:Flow Cytometry; D019337:Hematologic Neoplasms / Q000175:diagnosis*; D006751:Hospital Information Systems; D006801:Humans; D016130:Immunophenotyping / Q000145:classification; D020407:Internet; D010337:Pathology Department, Hospital; D010338:Pathology, Clinical / Q000193:education; D010363:Pattern Recognition, Automated; D012984:Software; D013781:Texas
D015703:Antigens, CD; D014408:Biomarkers, Tumor