Share Email Print

Proceedings Paper • new

Multi-level analysis of spatio-temporal features in non-mass enhancing breast tumors
Author(s): Amirhessam Tahmassebi; Dat Ngo; Antonio Garcia; Encarnacin Castillo; Diego P. Morales; Katja Pinker-Domenig; Mark Lobbes; Anke Meyer-Bäse
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Diagnostically challenging breast tumors and Non-Mass-Enhancing (NME) lesions are often characterized by spatial and temporal heterogeneity, thus difficult to detect and classify. Differently from mass enhancing tumors they have an atypical temporal enhancement behavior that does not enable a straight-forward lesion classification into benign or malignant. The poorly defined margins do not support a concise shape description thus impacting morphological characterizations. A multi-level analysis strategy capturing the features of Non-Mass- Like-Enhancing (NMLEs) is shown to be superior to other methods relying only on morphological and kinetic information. In addition to this, the NMLE features such as NMLE distribution types and NMLE enhancement pattern, can be employed in radomics analysis to make robust models in the early prediction of the response to neo-adjuvant chemotherapy in breast cancer. Therefore, this could predict treatment response early in therapy to identify women who do not benefit from cytotoxic therapy.

Paper Details

Date Published: 14 May 2018
PDF: 13 pages
Proc. SPIE 10662, Smart Biomedical and Physiological Sensor Technology XV, 106620H (14 May 2018); doi: 10.1117/12.2304928
Show Author Affiliations
Amirhessam Tahmassebi, Florida State Univ. (United States)
Dat Ngo, Florida State Univ. (United States)
Antonio Garcia, Univ. de Granada (Spain)
Encarnacin Castillo, Univ. de Granada (Spain)
Diego P. Morales, Univ. de Granada (Spain)
Katja Pinker-Domenig, Florida State Univ. (United States)
Memorial Sloan Kettering Cancer Ctr. (United States)
Medical Univ. of Vienna (Austria)
Mark Lobbes, Maastricht Medical Ctr., Univ. of Maastricht (Netherlands)
GROW School for Oncology and Developmental Biology (Netherlands)
Anke Meyer-Bäse, Florida State Univ. (United States)

Published in SPIE Proceedings Vol. 10662:
Smart Biomedical and Physiological Sensor Technology XV
Brian M. Cullum; Douglas Kiehl; Eric S. McLamore, Editor(s)

© SPIE. Terms of Use
Back to Top