DocumentCode :
2571534
Title :
A quantitative ultrasound-based method and device for reliably guiding pathologists to metastatic regions of dissected lymph nodes
Author :
Coron, Alain ; Mamou, Jonathan ; Saegusa-Beecroft, Emi ; Oelze, Michael L. ; Yamaguchi, Tadashi ; Hata, Masaki ; Machi, Junji ; Yanagihara, Eugene ; Laugier, Pascal ; Feleppa, Ernest J.
Author_Institution :
UPMC Univ. Paris 06, Paris, France
fYear :
2012
fDate :
2-5 May 2012
Firstpage :
1064
Lastpage :
1067
Abstract :
Our group is developing a method based on 3D high-frequency ultrasound (HFU) and 3D quantitative ultrasound (QUS) to help pathologists detect micrometastases in freshly-excised lymph nodes of patients with histologically-proven primary cancer. From a signal and image processing perspective, we report on our efforts to acquire and classify lymph-node tissue based on 3D QUS parameter estimates. We evaluated classifier performance against gold-standard histology. Using our database of 134 abdominal cancer-free nodes and 26 fully cancerous abdominal nodes, a conservative threshold gave a sensitivity and specificity of 99.3% and 73.1%, respectively. We also constructed a 3D cancer-likelihood map of a partially metastatic lymph node and compared that map with histology. This representation potentially can be useful for guiding pathologists to suspicious regions requiring histological evaluation.
Keywords :
biological tissues; biomedical ultrasonics; cancer; image classification; medical image processing; 3D QUS parameter estimates; 3D cancer likelihood map; 3D high frequency ultrasound; 3D quantitative ultrasound; HIFU; cancerous abdominal nodes; classifier performance; dissected lymph nodes; gold standard histology; histological evaluation; image processing; lymph-node tissue; metastatic regions; micrometastases; primary cancer; quantitative ultrasound method; signal processing; Biomedical imaging; Cancer; Image reconstruction; Image segmentation; Lymph nodes; Standards; Ultrasonic imaging; high-frequency ultrasound; histology; lymph nodes; metastatic cancer; quantitative ultrasound; registration; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
Conference_Location :
Barcelona
ISSN :
1945-7928
Print_ISBN :
978-1-4577-1857-1
Type :
conf
DOI :
10.1109/ISBI.2012.6235742
Filename :
6235742
Link To Document :
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