PROGNOSTIC VALUE OF NUCLEAR VOLUME IN ADENOID CYSTIC CARCINOMA OF THE HEAD AND NECK

1994 ◽  
Author(s):  
X XIE ◽  
TC STENERSEN ◽  
PL LARSEN ◽  
OPF CLAUSEN ◽  
M BOYSEN
2021 ◽  
Author(s):  
Di Zhang

Abstract Objective: The prognostic value of primary tumor surgery (PTS) for patients with metastatic adenoid cystic carcinoma of the head and neck (HNACC) at initial diagnosis has never been studied. The aims of this study were to determine the prognostic significance and identify optimal candidates of PTS.Materials and Methods: Patients with metastatic HNACC (stage IVC) at initial diagnosis were identified from the Surveillance, Epidemiology and End Results (SEER) database between 2004 and 2015. Correlated variables, including age, sex, race, tumor stage, metastatic site, treatment, and survival information were extracted. Kaplan-Meier analysis, log-rank test, and multivariate Cox regression model were performed to evaluate the impact of PTS on survival outcomes, including overall survival (OS) and cancer-specific survival (CSS).Results: Overall, 155 patients were identified from database. Of those, 93 (60%) patients underwent palliative PTS. Patients with lung metastasis alone were more likely undergo PTS (c2=15.042, P=0.002). The univariate analysis showed that PTS were associated with significantly improved survival than no-PTS (P=0.001 for CSS; P<0.001 for OS). The median CSS for patients who received PTS and those who did not receive PTS were 64.0 and 22.0 months, respectively. The median OS for patients who received PTS and those without PTS were 43.0 and 16.0 months, respectively. Notably, in multivariate model, the OS of patients who underwent PTS was better than that of patients who did not (HR=0.586, P=0.017), but there was no significantly improvement in CSS. In addition, subgroup analyses further revealed that patients with T3-4 or N0 stage might benefit from PTS.Conclusion: PTS signifi­cantly improved OS in patients with metastatic HNACC. Besides, PTS had a favorable prognostic impact on highly-selected patients, namely T3-4 and N0 stage, which could be adopted in future clinical practice. Further multicenter prospective studies are still needed to verify these outcomes.


2021 ◽  
Author(s):  
XIN-RAN LI ◽  
LIN ZHOU ◽  
YU-XIN CHEN ◽  
NA LI ◽  
JIAN MENG

Abstract BackgroundStudies in recent years have shown that the neutrophil-to-lymphocyte ratio (NLR) is associated with the survival and prognosis of patients with malignant tumors.However, the utility of the NLR in predicting outcomes in patients with adenoid cystic carcinoma (ACC) of the head and neck remains unclear. Here, we examined the prognostic value of the preoperative NLR in patients with ACC of the head and neck.MethodsThis study retrospectively analyzed 71 patients with a histopathological diagnosis of ACC from August 2005 to November 2020.The optimal cutoff value was obtained by receiver operating characteristic (ROC) analysis. The characteristics of the patients were evaluated using chi-squared tests.The value of the NLR used in predicting the outcomes of these patients was analyzed using Kaplan-Meier curves and Cox regression models.ResultsThe cutoff value of the NLR was 2.071. The chi-squared tests showed that a high NLR(>2.071)was associated with tumor stage and lymph node metastasis(LNM). Kaplan-Meier survival analysis showed that the NLR>2.071 group was correlated with a shorter Overall survival(P<0.05). In multivariate Cox regression analysis, high NLR (>2.071) and high age (>54 years) were independent risk factors predicting poorer outcomes in patients with ACC.ConclusionsWe suggest that the preoperative NLR is a useful biomarker for the prognosis of patients with ACC.


Oral Oncology ◽  
2021 ◽  
Vol 115 ◽  
pp. 105213
Author(s):  
Luigi Lorini ◽  
Laura Ardighieri ◽  
Anna Bozzola ◽  
Chiara Romani ◽  
Eliana Bignotti ◽  
...  

2019 ◽  
Vol 133 ◽  
pp. S659
Author(s):  
M. Bonora ◽  
B. Vischioni ◽  
D. Caivano ◽  
A. Hasegawa ◽  
V. Vitolo ◽  
...  

2016 ◽  
Vol 96 (2) ◽  
pp. E369-E370
Author(s):  
R.L. Deraniyagala ◽  
C.M. Bryant ◽  
C.G. Morris ◽  
W.M. Mendenhall ◽  
D.J. Indelicato ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document