Three-dimensional quantitative ultrasound to guide pathologists towards metastatic foci in lymph nodes

2012 ◽  
Author(s):  
J. Mamou ◽  
E. Saegusa-Beecroft ◽  
A. Coron ◽  
M. L. Oelze ◽  
T. Yamaguchi ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Quantitative Ultrasound ◽  
Three Dimensional

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

Three‐dimensional detection of metastases in freshly excised human lymph nodes using quantitative ultrasound backscatter and envelope parameters.

2011 ◽  
Vol 129 (4) ◽  
pp. 2610-2610 ◽  
Author(s):  
Jonathan Mamou ◽  
Alain Coron ◽  
Emi Saegusa‐Beecroft ◽  
Masaki Hata ◽  
Michael L. Oelze ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Quantitative Ultrasound ◽  
Three Dimensional ◽  
Ultrasound Backscatter

Scanning electron microscopy of freeze-fractured prescapular lymph node of caprine

1984 ◽  
Vol 42 ◽  
pp. 244-245
Author(s):  
O. Faroon ◽  
F. Al-Bagdadi ◽  
T. G. Snider ◽  
C. Titkemeyer
Keyword(s):  
Lymph Node ◽  
Lymph Nodes ◽  
Lymphatic System ◽  
Three Dimensional ◽  
Meat Products ◽  
The Body ◽  
Morphological Data ◽  
The World ◽  
Cellular Constituent ◽  
Scanning Electron

The lymphatic system is very important in the immunological activities of the body. Clinicians confirm the diagnosis of infectious diseases by palpating the involved cutaneous lymph node for changes in size, heat, and consistency. Clinical pathologists diagnose systemic diseases through biopsies of superficial lymph nodes. In many parts of the world the goat is considered as an important source of milk and meat products.The lymphatic system has been studied extensively. These studies lack precise information on the natural morphology of the lymph nodes and their vascular and cellular constituent. This is due to using improper technique for such studies. A few studies used the SEM, conducted by cutting the lymph node with a blade. The morphological data collected by this method are artificial and do not reflect the normal three dimensional surface of the examined area of the lymph node. SEM has been used to study the lymph vessels and lymph nodes of different animals. No information on the cutaneous lymph nodes of the goat has ever been collected using the scanning electron microscope.

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

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.

Three-Dimensional Sonography of Axillary Lymph Nodes in Patients With Breast Cancer

2016 ◽  
Vol 35 (3) ◽  
pp. 617-625 ◽  
Author(s):  
Tova C. Koenigsberg ◽  
Beatriu Reig ◽  
Susan Frank
Keyword(s):  
Breast Cancer ◽  
Lymph Nodes ◽  
Three Dimensional ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph
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