Predicting Pelvic Lymph Node Metastases in Penile Cancer Patients: A Comparison of Computed Tomography, Cloquet’s Node, and Disease Burden of Inguinal Lymph Nodes

Onkologie ◽  
2008 ◽  
Vol 31 (1-2) ◽  
pp. 37-41 ◽  
Author(s):  
Yao Zhu ◽  
Shi Lin Zhang ◽  
Ding Wei Ye ◽  
Xu Dong Yao ◽  
Zhao Xia Jiang ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Lymph Node Metastases ◽  
Penile Cancer ◽  
Disease Burden ◽  
Pelvic Lymph Node ◽  
Inguinal Lymph Nodes ◽  
Node Metastases

Assessment of cervical lymph node metastases using indirect computed tomography lymphography with iopamidol in a tongue VX2 carcinoma model

2011 ◽  
Vol 125 (8) ◽  
pp. 820-828 ◽  
Author(s):  
Y Shu ◽  
X Xu ◽  
Z Wang ◽  
W Dai ◽  
Y Zhang ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Lymph Node Metastases ◽  
Cervical Lymph Node ◽  
Cervical Lymph Nodes ◽  
Cervical Lymph Node Metastases ◽  
Computed Tomography Images ◽  
Vx2 Carcinoma ◽  
Node Metastases

AbstractObjective:To investigate the performance of indirect computed tomography lymphography with iopamidol for detecting cervical lymph node metastases in a tongue VX2 carcinoma model.Materials and methods:A metastatic cervical lymph node model was created by implanting VX2 carcinoma suspension into the tongue submucosa of 21 rabbits. Computed tomography images were obtained 1, 3, 5, 10, 15 and 20 minutes after iopamidol injection, on days 11, 14, 21 (six rabbits each) and 28 (three rabbits) after carcinoma transplantation. Computed tomography lymphography was performed, and lymph node filling defects and enhancement characteristics evaluated.Results:Indirect computed tomography lymphography revealed bilateral enhancement of cervical lymph nodes in all animals, except for one animal imaged on day 28. There was significantly slower evacuation of contrast in metastatic than non-metastatic nodes. A total of 41 enhanced lymph nodes displayed an oval or round shape, or local filling defects. One lymph node with an oval shape was metastatic (one of 11, 9.1 per cent), while 21 nodes with filling defects were metastatic (21/30, 70 per cent). The sensitivity, specificity, accuracy, and positive and negative predictive values when using a filling defect diameter of 1.5 mm as a diagnostic criterion were 86.4, 78.9, 82.9, 82.6 and 83.3 per cent, respectively.Conclusion:When using indirect computed tomography lymphography to detect metastatic lymph nodes, filling defects and slow evacuation of contrast agent are important diagnostic features.

Genomic heritage of sentinel lymph node metastases: Implications for clinical management of breast cancer patients

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 571-571
Author(s):  
D. L. Ellsworth ◽  
R. E. Ellsworth ◽  
T. E. Becker ◽  
B. Deyarmin ◽  
H. L. Patney ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Lymph Node Metastases ◽  
Molecular Mechanisms ◽  
Breast Cancer Patients ◽  
Sentinel Nodes ◽  
Axillary Nodes ◽  
Node Metastases

571 Background: Sentinel lymph node (SLN) biopsy status is a key prognostic factor for breast cancer patients. Sentinel nodes are believed to receive early disseminating cells from the primary tumor, but little is known about the origin of metastases colonizing the sentinel nodes. We used allelic imbalance (AI) to examine genomic relationships among metastases in the sentinel and non-sentinel axillary lymph nodes from complete axillary dissections in 15 patients with lymph node positive breast cancer. Methods: Sentinel nodes were localized by standard scintigraphic and gamma probe techniques using 1.0 mCi technetium-99m sulfur colloid. Pathologically positive nodes were identified by H&E histology and immunohistochemistry. Primary breast tumors and metastases in sentinel and axillary nodes were isolated by laser microdissection. AI was assessed at 26 chromosomal regions and used to examine the timing and molecular mechanisms of metastatic spread to the sentinel and axillary nodes. Results: Overall AI frequencies were significantly higher (p<0.05) in primary breast tumors compared to lymph node metastases. A high level of discordance was observed in patterns and frequencies of AI events between metastases in the sentinel and non-sentinel axillary nodes. Phylogenetic analyses showed that 1) multiple genetically-divergent lineages of metastatic cells independently colonize the lymph nodes; 2) some lymph node metastases appeared to acquire metastatic potential early in tumorigenesis, while other metastases evolved later; and 3) importantly, lineages colonizing the sentinel nodes appeared to originate at different times and to progress by different molecular mechanisms. Conclusions: Genomic diversity and timing of metastatic nodal spread may be important factors in determining outcomes of breast cancer patients. Metastases colonizing the sentinel nodes appear to arise at different times during disease progression and may not be descendants of progenitor cells that colonize the lymph nodes early in tumorigenesis. Metastatic growth in the sentinel nodes thus may be a consequence of stimulating factors from the primary tumor that affect proliferation of previously disseminated cells rather than the timing of metastatic spread. No significant financial relationships to disclose.

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