- AutorIn
- Peter Dalquen
- Spasenija Savic Prince
- Peter Spieler
- Dietmar Kunze
- Heinrich Neumann
- Serenella Eppenberger-Castori
- Heiner Adams
- Katharina Glatz
- Lukas Bubendorf
- Titel
- Making Cytological Diagnoses on Digital Images Using the iPath Network
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-705801
- Quellenangabe
- Acta cytologica : the journal of clinical cytology and cytopathology#the official periodical of the International Academy of Cytology
Erscheinungsort: Basel
Verlag: Karger
Erscheinungsjahr: 2014
Jahrgang: 58
Heft: 5
Seiten: 453-460
ISSN: 0001-5547
E-ISSN: 1938-2650 - Erstveröffentlichung
- 2014
- Abstract (EN)
- Background: The iPath telemedicine platform Basel is mainly used for histological and cytological consultations, but also serves as a valuable learning tool. Aim: To study the level of accuracy in making diagnoses based on still images achieved by experienced cytopathologists, to identify limiting factors, and to provide a cytological image series as a learning set. Method: Images from 167 consecutive cytological specimens of different origin were uploaded on the iPath platform and evaluated by four cytopathologists. Only wet-fixed and well-stained specimens were used. The consultants made specific diagnoses and categorized each as benign, suspicious or malignant. Results: For all consultants, specificity and sensitivity regarding categorized diagnoses were 83–92 and 85–93%, respectively; the overall accuracy was 88–90%. The interobserver agreement was substantial (κ = 0.791). The lowest rate of concordance was achieved in urine and bladder washings and in the identification of benign lesions. Conclusion: Using a digital image set for diagnostic purposes implies that even under optimal conditions the accuracy rate will not exceed to 80–90%, mainly because of lacking supportive immunocytochemical or molecular tests. This limitation does not disqualify digital images for teleconsulting or as a learning aid. The series of images used for the study are open to the public at http://pathorama.wordpress.com/extragenital-cytology-2013/.
- Andere Ausgabe
- Link zum Artikel der zuerst in der Zeitschrift 'Acta cytologica' erschienen ist
DOI: 10.1159/000369241 - Freie Schlagwörter (DE)
- Telemedizin, Zytologie, Standbilder, Fallstricke, diagnostische Genauigkeit, Telelernen
- Freie Schlagwörter (EN)
- Telemedicine, Cytology, Still images, Pitfalls, Diagnostic accuracy, Telelearning
- Klassifikation (DDC)
- 610
- 570
- Verlag
- Karger, Basel
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-705801
- Veröffentlichungsdatum Qucosa
- 20.05.2020
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis