scholarly journals Intra-parotid nodal metastases

2022 ◽  
Author(s):  
Yuranga Weerakkody
Keyword(s):  
1988 ◽  
Vol 24 (5) ◽  
pp. 869
Author(s):  
M G Lee ◽  
W S Cho ◽  
S S Han ◽  
S W Lee ◽  
C Y Han

Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3661
Author(s):  
Jan Bednarsch ◽  
Xiuxiang Tan ◽  
Zoltan Czigany ◽  
Dong Liu ◽  
Sven Arke Lang ◽  
...  

The oncological role of the density of nerve fibers (NFs) in the tumor microenvironment (TME) in intrahepatic cholangiocarcinoma (iCCA) remains to be determined. Therefore, data of 95 iCCA patients who underwent hepatectomy between 2010 and 2019 was analyzed regarding NFs and long-term outcome. Extensive group comparisons were carried out and the association of cancer-specific survival (CSS) and recurrence-free survival (RFS) with NFs were assessed using Cox regression models. Patients with iCCA and NFs showed a median CSS of 51 months (5-year-CSS = 47%) compared to 27 months (5-year-CSS = 21%) in patients without NFs (p = 0.043 log rank). Further, NFs (hazard ratio (HR) = 0.39, p = 0.002) and N-category (HR = 2.36, p = 0.010) were identified as independent predictors of CSS. Patients with NFs and without nodal metastases displayed a mean CSS of 89 months (5-year-CSS = 62%), while patients without NFs or with nodal metastases but not both showed a median CCS of 27 months (5-year-CSS = 25%) and patients with both positive lymph nodes and without NFs showed a median CCS of 10 months (5-year-CSS = 0%, p = 0.001 log rank). NFs in the TME are, therefore, a novel and important prognostic biomarker in iCCA patients. NFs alone and in combination with nodal status is suitable to identify iCCA patients at risk of poor oncological outcomes following curative-intent surgery.


2020 ◽  
Vol 80 (12) ◽  
pp. e290-e290
Author(s):  
Hans-Christian Kolberg ◽  
Thorsten Kühn ◽  
Maja Krajewska ◽  
Ingo Bauerfeind ◽  
Tanja N. Fehm ◽  
...  

The Analyst ◽  
2021 ◽  
Author(s):  
Barnaby Ellis ◽  
Conor A Whitley ◽  
Safaa Al Jedani ◽  
Caroline Smith ◽  
Philip Gunning ◽  
...  

A novel machine learning algorithm is shown to accurately discriminate between oral squamous cell carcinoma (OSCC) nodal metastases and surrounding lymphoid tissue on the basis of a single metric, the...


Biomaterials ◽  
2013 ◽  
Vol 34 (7) ◽  
pp. 1810-1819 ◽  
Author(s):  
Rong Liu ◽  
Denis M. Gilmore ◽  
Kimberly Ann V. Zubris ◽  
Xiaoyin Xu ◽  
Paul J. Catalano ◽  
...  

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