Building a reduced dictionary of relevant perfusion patterns from CEUS data for the classification of testis lesions

Conference paper


Favaron, T., Huang, D.Y., Christensen-Jeffries, K., Eckersley, R., Sidhu, P.S. and Grisan, E. (2019). Building a reduced dictionary of relevant perfusion patterns from CEUS data for the classification of testis lesions. 2019 IEEE 16th International Symposium on Biomedical Imaging. Venice, Italy 08 - 11 Apr 2019 Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISBI.2019.8759528
AuthorsFavaron, T., Huang, D.Y., Christensen-Jeffries, K., Eckersley, R., Sidhu, P.S. and Grisan, E.
TypeConference paper
Abstract

Radical orchifunicolectomy has traditionally been the main clinical treatment for small testicular masses (STMs); however STMs represent a constantly increasing and often incidental finding. Since many of them result benign, a more conservative testis-sparing surgery was proposed, but it requires a preliminary differentiation between benign and malignant masses: this however remains challenging. Although common understanding in radiology and oncology is that perfusion patterns might provide a useful information about the type of masses, no guidelines or consensus is available for the differentiation of STMs. We propose to build a dictionary of relevant perfusion patterns, extracted using non-negative matrix factorization on pixel-wise time-intensity curves from contrast-enhanced ultrasound data. When data from a lesion are reconstructed using this dictionary, a vector containing the frequency of utilization of each pattern can be used as a tissue signature. Using this signature, a support vector machine classifier has been trained, and the cross validated accuracy reached 100% in our pilot cohort.

Year2019
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Journal citationpp. 850-854
ISSN1945-8452
Digital Object Identifier (DOI)doi:10.1109/ISBI.2019.8759528
Web address (URL)https://ieeexplore.ieee.org/document/8759528
Accepted author manuscript
License
CC BY 4.0
File Access Level
Open
Publication dates
Print11 Jul 2019
Publication process dates
Accepted18 Dec 2019
Deposited27 Nov 2019
Permalink -

https://openresearch.lsbu.ac.uk/item/8895z

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