Lymph Explorer: A new GUI using 3D high-frequency quantitative ultrasound methods to guide pathologists towards metastatic regions in human lymph nodes

2012 ◽  
Author(s):  
Jonathan Mamou ◽  
Emi Saegusa-Beecroft ◽  
Alain Coron ◽  
Michael L. Oelze ◽  
Tadashi Yamaguchi ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Quantitative Ultrasound ◽  
High Frequency

High-Frequency Quantitative Ultrasound Imaging of Cancerous Lymph Nodes

2009 ◽  
Vol 48 (7) ◽  
pp. 07GK08 ◽  
Author(s):  
Jonathan Mamou ◽  
Alain Coron ◽  
Masaki Hata ◽  
Junji Machi ◽  
Eugene Yanagihara ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Ultrasound Imaging ◽  
Quantitative Ultrasound ◽  
High Frequency

TU-G-220-04: High-Frequency (HF), Three-Dimensional (3D), Quantitative Ultrasound (QUS) for Detecting Metastases in Dissected Lymph Nodes

2011 ◽  
Vol 38 (6Part30) ◽  
pp. 3789-3790
Author(s):  
E Feleppa ◽  
J Mamou ◽  
E Saegusa-Beecroft ◽  
A Coron ◽  
M Oelze ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Quantitative Ultrasound ◽  
High Frequency ◽  
Three Dimensional

High‐frequency quantitative ultrasound imaging methods for human lymph nodes characterization ex vivo

2008 ◽  
Vol 123 (5) ◽  
pp. 3001-3001
Author(s):  
Jonathan Mamou ◽  
Alain Coron ◽  
Masaki Hata ◽  
Junji Machi ◽  
Eugene Yanagihara ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Ultrasound Imaging ◽  
Quantitative Ultrasound ◽  
High Frequency ◽  
Ex Vivo ◽  
Imaging Methods

High-frequency quantitative ultrasound approaches for cancer detection in freshly-excised lymph nodes

2013 ◽  
Vol 133 (5) ◽  
pp. 3540-3540
Author(s):  
Jonathan Mamou ◽  
Alain Coron ◽  
Emi Saegusa-Beecroft ◽  
Masaki Hata ◽  
Michael L. Oelze ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Cancer Detection ◽  
Quantitative Ultrasound ◽  
High Frequency

scholarly journals High-frequency quantitative ultrasound approaches for cancer detection in freshly-excised lymph nodes

2013 ◽  
Author(s):  
Jonathan Mamou ◽  
Alain Coron ◽  
Emi Saegusa-Beecroft ◽  
Masaki Hata ◽  
Michael L. Oelze ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Cancer Detection ◽  
Quantitative Ultrasound ◽  
High Frequency

HIGH-FREQUENCY QUANTITATIVE ULTRASOUND DETECTION OF MICRO-METASTASES IN LYMPH NODES: POTENTIAL FOR STAGING UROLOGICAL CANCERS

2009 ◽  
Vol 181 (4S) ◽  
pp. 99-99
Author(s):  
Ernest J Feleppa ◽  
Jonathan Mamou ◽  
Masaki Hata ◽  
Alain Coron ◽  
Junji Machi ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Quantitative Ultrasound ◽  
High Frequency ◽  
Urological Cancers

scholarly journals Predictive quantitative ultrasound radiomic markers associated with treatment response in head and neck cancer

2020 ◽  
Vol 6 (1) ◽  
pp. FSO433 ◽  
Author(s):  
William T Tran ◽  
Harini Suraweera ◽  
Karina Quaioit ◽  
Daniel Cardenas ◽  
Kai X Leong ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Lymph Nodes ◽  
Head And Neck ◽  
Treatment Response ◽  
Neck Cancer ◽  
Quantitative Ultrasound ◽  
Area Under The Curve ◽  
Imaging Features ◽  
Metastatic Lymph Nodes ◽  
Metastatic Lymph

Aim: We aimed to identify quantitative ultrasound (QUS)-radiomic markers to predict radiotherapy response in metastatic lymph nodes of head and neck cancer. Materials & methods: Node-positive head and neck cancer patients underwent pretreatment QUS imaging of their metastatic lymph nodes. Imaging features were extracted using the QUS spectral form, and second-order texture parameters. Machine-learning classifiers were used for predictive modeling, which included a logistic regression, naive Bayes, and k-nearest neighbor classifiers. Results: There was a statistically significant difference in the pretreatment QUS-radiomic parameters between radiological complete responders versus partial responders (p < 0.05). The univariable model that demonstrated the greatest classification accuracy included: spectral intercept (SI)-contrast (area under the curve = 0.741). Multivariable models were also computed and showed that the SI-contrast + SI-homogeneity demonstrated an area under the curve = 0.870. The three-feature model demonstrated that the spectral slope-correlation + SI-contrast + SI-homogeneity-predicted response with accuracy of 87.5%. Conclusion: Multivariable QUS-radiomic features of metastatic lymph nodes can predict treatment response a priori.

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