High nodal FDG uptake increases risk of distant metastasis in patients with oropharyngeal squamous cell carcinoma

2019 ◽  
Vol 47 (5) ◽  
pp. 1039-1045
Author(s):  
Jakob Schmidt Jensen ◽  
Julie Thor Christensen ◽  
Katrin Håkansson ◽  
Martin Zamani ◽  
Ivan R. Vogelius ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Distant Metastasis ◽  
Oropharyngeal Squamous Cell Carcinoma ◽  
Fdg Uptake

scholarly journals Matted nodes as a predictor of distant metastasis in advanced-stage III/IV oropharyngeal squamous cell carcinoma

Head & Neck ◽  
2015 ◽  
Vol 38 (2) ◽  
pp. 184-190 ◽  
Author(s):  
Matthew E. Spector ◽  
Steven B. Chinn ◽  
Emily Bellile ◽  
K. Kelly Gallagher ◽  
Mohannad Ibrahim ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Distant Metastasis ◽  
Oropharyngeal Squamous Cell Carcinoma ◽  
Stage Iii ◽  
Advanced Stage

scholarly journals Distant metastasis in p16-positive oropharyngeal squamous cell carcinoma: A critical analysis of patterns and outcomes

Oral Oncology ◽  
2014 ◽  
Vol 50 (1) ◽  
pp. 45-51 ◽  
Author(s):  
P. Sinha ◽  
W.T. Thorstad ◽  
B. Nussenbaum ◽  
B.H. Haughey ◽  
D.R. Adkins ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Distant Metastasis ◽  
Critical Analysis ◽  
Oropharyngeal Squamous Cell Carcinoma

scholarly journals An analysis of distant metastasis cases from HPV-associated oropharyngeal squamous cell carcinoma

2021 ◽  
Author(s):  
Faris F. Brkic ◽  
Lorenz Kadletz-Wanke ◽  
Lukas Kenner ◽  
Thorsten Füreder ◽  
Bernhard Jank ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Distant Metastasis ◽  
Oropharyngeal Squamous Cell Carcinoma

Robust Differences in p16-Dependent Oropharyngeal Squamous Cell Carcinoma Distant Metastasis

2015 ◽  
Vol 153 (2) ◽  
pp. 209-217 ◽  
Author(s):  
James J. Jaber ◽  
Lauren Murrill ◽  
Joseph I. Clark ◽  
Jonas T. Johnson ◽  
Paul J. Feustel ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Distant Metastasis ◽  
Oropharyngeal Squamous Cell Carcinoma

scholarly journals Radiomics Predicts for Distant Metastasis in Locally Advanced Human Papillomavirus-Positive Oropharyngeal Squamous Cell Carcinoma

Cancers ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 5689
Author(s):  
Benjamin Rich ◽  
Jianfeng Huang ◽  
Yidong Yang ◽  
William Jin ◽  
Perry Johnson ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Human Papillomavirus ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Distant Metastasis ◽  
Patient Population ◽  
Locally Advanced ◽  
Oropharyngeal Squamous Cell Carcinoma ◽  
Support Vector ◽  
Roc Curve Analysis

(1) Background and purpose: clinical trials have unsuccessfully tried to de-escalate treatment in locally advanced human papillomavirus positive (HPV+) oropharyngeal squamous cell carcinoma (OPSCC) with the goal of reducing treatment toxicity. The aim of this study was to explore the role of radiomics for risk stratification in this patient population to guide treatment. (2) Methods: the study population consisted of 225 patients with locally advanced HPV+ OPSCC treated with curative-intent radiation or chemoradiation therapy. Appearance of distant metastasis was used as the endpoint event. Radiomics data were extracted from the gross tumor volumes (GTVs) identified on the planning CT, with gray level being discretized using three different bin widths (8, 16, and 32). The data extracted for the groups with and without distant metastasis were subsequently balanced using three different algorithms including synthetic minority over-sampling technique (SMOTE), adaptive synthetic sampling (ADASYN), and borderline SMOTE. From these different combinations, a total of nine radiomics datasets were derived. Top features that minimized redundancy while maximizing relevance to the endpoint were selected individually and collectively for the nine radiomics datasets to build support vector machine (SVM) based predictive classifiers. Performance of the developed classifiers was evaluated by receiver operating characteristic (ROC) curve analysis. (3) Results: of the 225 locally advanced HPV+ OPSCC patients being studied, 9.3% had developed distant metastases at last follow-up. SVM classifiers built for the nine radiomics dataset using either their own respective top features or the top consensus ones were all able to differentiate the two cohorts at a level of excellence or beyond, with ROC area under curve (AUC) ranging from 0.84 to 0.95 (median = 0.90). ROC comparisons further revealed that the majority of the built classifiers did not distinguish the two cohorts significantly better than each other. (4) Conclusions: radiomics demonstrated discriminative ability in distinguishing patients with locally advanced HPV+ OPSCC who went on to develop distant metastasis after completion of definitive chemoradiation or radiation alone and may serve to risk stratify this patient population with the purpose of guiding the appropriate therapy.

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