TY - JOUR
T1 - Learning tumor diagnostics and medical image processing via the WWW - The case-based radiological textbook ODITEB
AU - Horsch, Alexander
AU - Balbach, Thomas
AU - Melnitzki, Susanne
AU - Knauth, Jürgen
N1 - Funding Information:
We wish to thank our sponsors, the DFN-Verein, Berlin, and the German Ministry of Research and Education. Special thanks for providing the content we owe to our colleagues in the radiology departments, Carl Ganter, Thomas Treumann, Paul Hellerhoff and their director Paul Gerhardt (Munich), Alexander Tschammler and his chief Dietbert Hahn (Würzburg), Alexander Cavallaro, Ekkehard Fiedler and their chief Werner Bautz (Erlangen), to the collegues in the department of surgery, Lukas Prantl and his chief H.-J. Dittler (endoscopy). For the support of the user interface design and the evaluation with the students, we wish to thank the medical students Claudia Feßel and Christo Minov. We thank Thomas Liß and Fabian Sturm for the development of the authoring tool, Hamza Mehammed for the work on the integration of data compression. This study was funded by the DFN-Verein and the German Ministry of Research and Education.
PY - 2000/9/1
Y1 - 2000/9/1
N2 - New Internet technologies offer excellent chances to build high-quality on-line learning media for the education in medicine. Especially, the teaching of diagnostics with medical imaging as well as medical image processing can be supported by the excellent visualization and interaction capabilities. In cooperation with three radiological departments at German universities in Munich, Erlangen and Wurzburg, the case-based open distributed Internet text book (ODITEB) for tumor diagnosis of the GI-tract, liver, pancreas and thorax has been developed at the Institut fur Medizinische Statistik und Epidemiologie (IMSE) of the Technische Universitat Munchen. It offers a big collection of clinical tumor cases located on servers at the provider sites Munich, Erlangen and Wurzburg, visualization and interaction similar to a real CT or MRI console, original DICOM data, X- rays and endoscopic and endosonographic videos, and expert-guided tours through the cases. In a first evaluation in summer 1998, 32 medical students graded the application with 1.9 ('good') on a scale from 1 ('very good') to 5 ('very bad'). The textbook supports German language, an English version is in preparation. In a second part, it contains lessons in medical image processing for students of medical informatics. An ODITEB release 2 with several improvements will be finished until February 2000. The use of the textbook is free of cost.
AB - New Internet technologies offer excellent chances to build high-quality on-line learning media for the education in medicine. Especially, the teaching of diagnostics with medical imaging as well as medical image processing can be supported by the excellent visualization and interaction capabilities. In cooperation with three radiological departments at German universities in Munich, Erlangen and Wurzburg, the case-based open distributed Internet text book (ODITEB) for tumor diagnosis of the GI-tract, liver, pancreas and thorax has been developed at the Institut fur Medizinische Statistik und Epidemiologie (IMSE) of the Technische Universitat Munchen. It offers a big collection of clinical tumor cases located on servers at the provider sites Munich, Erlangen and Wurzburg, visualization and interaction similar to a real CT or MRI console, original DICOM data, X- rays and endoscopic and endosonographic videos, and expert-guided tours through the cases. In a first evaluation in summer 1998, 32 medical students graded the application with 1.9 ('good') on a scale from 1 ('very good') to 5 ('very bad'). The textbook supports German language, an English version is in preparation. In a second part, it contains lessons in medical image processing for students of medical informatics. An ODITEB release 2 with several improvements will be finished until February 2000. The use of the textbook is free of cost.
KW - Distributed application
KW - Internet
KW - Medical image processing
KW - Radiology
KW - Tumor diagnostics
KW - Web-based training
UR - http://www.scopus.com/inward/record.url?scp=18744429954&partnerID=8YFLogxK
U2 - 10.1016/S1386-5056(00)00074-5
DO - 10.1016/S1386-5056(00)00074-5
M3 - Article
C2 - 10978908
AN - SCOPUS:18744429954
SN - 1386-5056
VL - 58
SP - 39
EP - 50
JO - International Journal of Medical Informatics
JF - International Journal of Medical Informatics
IS - 59
ER -