1. Αποθετήριο Παραδοτέων Υποτρόφων Δράσεων ΕΣΠΑ Τριτοβάθμιας Εκπαίδευσης 2017-2023
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3. Ερευνητικές ομάδες

Τύπος:	Κεφάλαιο σε πρακτικά συνεδρίου
Τίτλος:	Diffusion weighted magnetic resonance imaging : texture biomarkers for breast cancer diagnosis
Συγγραφέας:	[EL] Τσαρούχη, Μαριαλένα[EN] Tsarouchi, Marialena [EL] Βλαχόπουλος, Γεώργιος[EN] Vlachopoulos, Georgios [EL] Καραχάλιου, Άννα[EN] Karahaliou, Anna [EL] Κωσταρίδου, Ελένη[EN] Costaridou, Lena
Ημερομηνία:	25/09/2019
Περίληψη:	Quantification of breast lesion heterogeneity by means of MRI texture contributes in differentiating benign from malignant breast lesions. This study investigates the diagnostic performance of1st and 2nd order Texture Analysis descriptors on Apparent Diffusion Coefficient (ADC) lesion maps.78 histologically verified breast lesions (40 benign, 38 malignant) of 67 patients undergoing DW-MRI at 3.0 T, were analyzed. ADC maps were generated for a slice representative of lesion largest diameter. A two-step segmentation approach was applied on high bvalue diffusion image, based on Fuzzy C-Means (FCM) clustering and edge-based contouring, for defining the lesion region contour. Lesion contour was transferred to ADC map and subjected to texture analysis by means of twelve first-order and eleven second-order texture features. Logistic Regression Classifier was employed to assess the diagnostic ability of individual features and feature combinations. Diagnostic performance was evaluated by means of the area under Receiver Operating Characteristic curve (Az). The highest classification performance (Az=0.965±0.024) was achieved by the combined feature subset 25th Percentile (1storder) and Entropy (2ndorder),suggesting the diagnostic significance of accurately quantifying lesion heterogeneity by texture-based feature combinations on ADC maps. Combined 1st and 2nd order texture biomarkers provide accurate spatial information of lesion ADC heterogeneity and holds potential in differentiating benign from malignant breast lesion status.
Γλώσσα:	Αγγλικά
Τόπος δημοσίευσης:	Coimbra, Portugal
Σελίδες:	5
DOI:	10.1007/978-3-030-31635-8_36
ISBN:	978-3-030-31634-1
Θεματική κατηγορία:	[EL] Ραδιολογία, Πυρηνική ιατρική και Απεικονιστική[EN] Radiology, Nuclear Medicine and Imaging
Λέξεις-κλειδιά:	Texture Analysis; MR-Diffusion; Breast Cancer Diagnosis; Imaging Biomarkers
Κάτοχος πνευματικών δικαιωμάτων:	© Springer Nature Switzerland AG 2020
Όροι και προϋποθέσεις δικαιωμάτων:	https://s100.copyright.com/AppDispatchServlet?publisherName=SpringerNature&orderBeanReset=true&orderSource=SpringerLink©right=Springer+Nature+Switzerland+AG&author=Marialena+I.+Tsarouchi%2C+Georgios+F.+Vlachopoulos%2C+Anna+N.+Karahaliou+et+al&contentID=10.1007%2F978-3-030-31635-8_36&endPage=305&publicationDate=2020&startPage=301&publication=eBook&title=Diffusion+Weighted+Magnetic+Resonance+Imaging+Texture+Biomarkers+for+Breast+Cancer+Diagnosis&imprint=Springer+Nature+Switzerland+AG
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη:	https://link.springer.com/chapter/10.1007%2F978-3-030-31635-8_36
Ηλεκτρονική διεύθυνση περιοδικού:	https://link.springer.com/bookseries/7403
Τίτλος πηγής δημοσίευσης:	MEDICON 2019. IFMBE Proceedings
Τόμος:	76
Σελίδες τεκμηρίου (στην πηγή):	301-305
Σειρά δημοσίευσης:	IFMBE Proceedings Book Series
Όνομα εκδήλωσης:	XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019
Τοποθεσία εκδήλωσης:	Coimbra, Portugal
Ημ/νία έναρξης εκδήλωσης:	26/09/2019
Ημ/νία λήξης εκδήλωσης:	28/09/2019
Σημειώσεις:	Support by Operational Program “Human Resources Development, Education and Lifelong Learning” and is co-financed by the European Union (ESF) and Greek national funds (MIS:5005772).
Εμφανίζεται στις συλλογές:	Ερευνητικές ομάδες