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1.
Int J Med Inform ; 78(12): 827-38, 2009 Dec.
Article in English | MEDLINE | ID: mdl-19775933

ABSTRACT

BACKGROUND: The evolution of information technologies and telecommunications has made the World Wide Web a low cost and easily accessible tool for the dissemination of information and knowledge. Continuous Medical Education (CME) sites dedicated in cytopathology field are rather poor, they do not succeed in following the constant changes and lack the ability of providing cytopathologists with a dynamic learning environment, adaptable to the development of cytopathology. Learning methods including skills such as decision making, reasoning and problem solving are critical in the development of such a learning environment. OBJECTIVES: The objectives of this study are (1) to demonstrate on the basis of a web-based training system the successful application of traditional learning theories and methods and (2) to effectively evaluate users' perception towards the educational program, using a combination of observers, theories and methods. IMPLEMENTATION: Trainees are given the opportunity to browse through the educational material, collaborate in synchronous and asynchronous mode, practice their skills through problems and tasks and test their knowledge using the self-evaluation tool. On the other hand, the trainers are responsible for editing learning material, attending students' progress and organizing the problem-based and task-based scenarios. The implementation of the web-based training system is based on the three-tier architecture and uses an Apache Tomcat web server and a MySQL database server. METHODS: By December 2008, CytoTrainer's learning environment contains two courses in cytopathology: Gynaecological Cytology and Thyroid Cytology offering about 2000 digital images and 20 case sessions. Our evaluation method is a combination of both qualitative and quantitative approaches to explore how the various parts of the system and students' attitudes work together. RESULTS: Trainees approved of the course's content, methodology and learning activities. The triangulation of evaluation methods revealed that the training program is suitable for the continuous distance education in cytopathology and that it has improved the trainees' skills in diagnostic cytopathology. CONCLUSIONS: The web-based training system can be successfully involved in the continuous distance education in cytopathology. It provides the opportunity to access learning material from any place at any time and supports the acquisition of diagnostic knowledge.


Subject(s)
Cell Biology/education , Computer-Assisted Instruction/trends , Cytodiagnosis/standards , Education, Distance/trends , Internet/statistics & numerical data , Pathology/education , Humans
2.
Diagn Cytopathol ; 37(12): 903-5, 2009 Dec.
Article in English | MEDLINE | ID: mdl-19530103

ABSTRACT

Strongyloidiasis is an opportunistic infection which may result in a fatal hyperinfection syndrome in immunocompromised patients. We report the case of a pulmonary infection with Strongyloides stercoralis in a 61-year-old male with a history of a long-term administration of corticosteroids. Cytologic examination of a bronchial washing specimen, processed both as conventional and as Thin-Prep smears, revealed an abundance of the typical larvae of Strongyloides stercoralis, amidst a cellular population comprising several acute inflammatory cells as well as bronchial epithelial cells with features of basal cell hyperplasia or regenerative atypia. To the best of our knowledge there is only one previous report describing Strongyloides stercoralis in thin-layer smears, and there are no previous studies comparing its morphology in conventional and thin-layer preparations.


Subject(s)
Cytological Techniques , Immunocompromised Host , Respiratory Tract Infections/microbiology , Strongyloidiasis/diagnosis , Strongyloidiasis/immunology , Adrenal Cortex Hormones/therapeutic use , Animals , Bronchoalveolar Lavage , Bronchoalveolar Lavage Fluid/microbiology , Humans , Male , Middle Aged , Respiratory Tract Infections/pathology , Retroperitoneal Fibrosis/drug therapy , Strongyloides stercoralis
3.
Acta Cytol ; 48(2): 269-72, 2004.
Article in English | MEDLINE | ID: mdl-15085766

ABSTRACT

BACKGROUND: Primary effusion lymphoma (PEL) is a rare type of lymphoma that presents as an effusion, seldom with evidence of a solid neoplasm elsewhere; thus, cytology is the basic diagnostic method. It usually occurs in HIV-positive males with a history of Kaposi's sarcoma (KS), and DNA sequences of human herpesvirus 8 (HHV-8) are detected by molecular analysis. The distinct morphologic, immunophenotypic, molecular and clinical characteristics render this neoplasm a new pathologic entity. CASE: A 57-year-old, HIV-positive man presented to the hospital with ascites and absence of neoplasm on radiologic investigation. Cytologic evaluation of the ascitic fluid revealed the presence of highly atypical, pleomorphic lymphoid cells. Immunocytochemistry of the lymphoma cells was positive for CD45 (leukocyte common antigen), CD30 and epithelial membrane antigen antigens and negative for panB, panT and cytokeratin antigens. DNA sequences of HHV-8 were identified by polymerase chain reaction (PCR), and DNA ploidy analysis showed aneuploidy. The patient died 5 months after the diagnosis. CONCLUSION: Conventional and ThinPrep (Cytyc Corp., Boxborough, Massachusetts, U.S.A.) cytology, in combination with immunocytochemistry and PCR for HHV-8 DNA sequences, can lead to an accurate diagnosis of PEL. DNA ploidy analysis confirms the aggressive nature of this neoplasm.


Subject(s)
Ascitic Fluid/pathology , HIV Infections/complications , Lymphoma/pathology , Opportunistic Infections/pathology , Ascitic Fluid/etiology , Biomarkers, Tumor/metabolism , Herpesvirus 8, Human/genetics , Humans , Immunohistochemistry , Immunophenotyping , Ki-1 Antigen/metabolism , Leukocyte Common Antigens/metabolism , Lymphocytes/pathology , Lymphoma/virology , Male , Middle Aged , Mucin-1/metabolism , Opportunistic Infections/etiology , Ploidies , Sarcoma, Kaposi/complications
4.
Anal Quant Cytol Histol ; 24(1): 30-8, 2002 Feb.
Article in English | MEDLINE | ID: mdl-11865947

ABSTRACT

OBJECTIVE: To investigate the potential of artificial neural networks for cell identification in endometrial lesions from postmenopausal women. STUDY DESIGN: The study was performed on cytologic material obtained by the Gynoscann endometrial cell samplerfrom 12 cases of atrophic endometrium, 48 cases of hyperplasia without cytologic atypia (18 cases of simple hyperplasia and 30 cases of complex hyperplasia), 12 cases of hyperplasia with cytologic atypia (complex atypical hyperplasia) and 48 cases of adenocarcinoma (30 cases of well-differentiated, 12 cases of moderately differentiated and 6 cases of poorly differentiated carcinoma). From each case approximately 100 cells were examined using a custom image analysis system. A learning vector quantizer (LVQ) identified the collected data. RESULTS: Investigation of cells from Endometrial Alterations with LVQ proved that according to the nuclear characteristics, as expressed by morphometric and textural measures, the endometrial cells from postmenopausal women may be identified as belonging to one of thefollowing three groups: atrophy, hyperplasia without cytologic atypia (simple and complex hyperplasia) and malignant neoplastic lesions (atypical complex and adenocarcinoma). CONCLUSION: The role of nuclear morphologic features in the cytologic diagnosis of endometrial alterations was confirmed. The overlap in thefeature space observed indicates that cell characteristics do not form strictly separate clusters. Thatfact explains the difficulty that morphologists have with the reproducible identification of cells from endometrial lesions in postmenopausal women. Application of LVQ offers a good classification at the cell level and promises to be a powerful toolfor classification on the individual patient level andfor the clarification of the natural history of endometrial pathology.


Subject(s)
Adenocarcinoma/classification , Endometrial Hyperplasia/classification , Endometrial Neoplasms/classification , Endometrium/pathology , Postmenopause , Adenocarcinoma/pathology , Aged , Aged, 80 and over , Cell Nucleus/pathology , Endometrial Hyperplasia/pathology , Endometrial Neoplasms/pathology , Female , Humans , Image Processing, Computer-Assisted , Middle Aged , Neural Networks, Computer , Predictive Value of Tests , Reproducibility of Results
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