Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/9948
Title: A computer-based diagnostic and prognostic system for assessing urinary bladder tumour grade and predicting cancer recurrence
Authors: Σπυρίδωνος, Παναγιώτα Π.
Κάβουρας, Διονύσης Α.
Ραβαζούλα, Παναγιώτα
Νικηφορίδης, Γεώργιος Χ.
Item type: Journal article
Keywords: Prognostic system;Classification;Προγνωστικό σύστημα;Ταξινόμηση
Subjects: Medicine
Biomedical engineering
Ιατρική
Βιοϊατρική τεχνολογία
Issue Date: 8-May-2015
2002
Publisher: Informa Healthcare
Abstract: Purpose : A computer-based system was designed, incorporating subjective criteria employed by pathologists in their usual microscopic observation of tissue samples and measurements of nuclear characteristics, with the purpose of automatically assessing urinary bladder tumour grade and predicting cancer recurrence. Material and Methods : Ninety-two cases with urine bladder carcinoma were diagnosed and followed-up. Forty-seven patients had cancer recurrence. Each case was represented by eight histological (subjective) features, evaluated by pathologists, and thirty-six automatically extracted nuclear features. Grading and prognosis were performed by neural-network based classifiers employing both histological and nuclear features. Results : Employing a combination of histological and nuclear features, highest classification accuracy was 82%, 80.5%, and 93.1% for tumours of grade I, II and III respectively. The prognostic-system, gave a significant prognostic assessment of 72.8% with a confidence of 74.5% that cancer might recur and of 71.1% that might not, employing two histological features and two textural nuclear features. Conclusions : The system for grading and predicting tumour recurrence may serve as a second opinion tool and features employed for designing the system may be of value to pathologists using descriptive grading systems.
Language: English
Citation: Spyridonos, P., Cavouras, D., Ravazoula, P. and Nikiforidis, G. (2002). A computer-based diagnostic and prognostic system for assessing urinary bladder tumour grade and predicting cancer recurrence. Informatics for Health and Social Care. 27(2). pp. 111-122. Informa Healthcare: 2002.
Journal: Informatics for Health and Social Care
Type of Journal: With a review process (peer review)
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/9948
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