scholarly journals Combination of an Integrin-Targeting NIR Tracer and an Ultrasensitive Spectroscopic Device for Intraoperative Detection of Head and Neck Tumor Margins and Metastatic Lymph Nodes

Tomography ◽  
2016 ◽  
Vol 2 (3) ◽  
pp. 215-222 ◽  
Keyword(s):  
Lymph Nodes ◽  
Head And Neck ◽  
Head And Neck Tumor ◽  
Metastatic Lymph Nodes ◽  
Tumor Margins ◽  
Neck Tumor ◽  
Intraoperative Detection ◽  
Metastatic Lymph

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.

scholarly journals 18F-FLT PET Does Not Discriminate Between Reactive and Metastatic Lymph Nodes in Primary Head and Neck Cancer Patients

2007 ◽  
Vol 48 (5) ◽  
pp. 726-735 ◽  
Author(s):  
E. G.C. Troost ◽  
W. V. Vogel ◽  
M. A.W. Merkx ◽  
P. J. Slootweg ◽  
H. A.M. Marres ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Lymph Nodes ◽  
Head And Neck ◽  
Cancer Patients ◽  
Neck Cancer ◽  
Metastatic Lymph Nodes ◽  
Flt Pet ◽  
Metastatic Lymph

Human Papillomavirus in Metastatic Lymph Nodes from Unknown Primary Head and Neck Squamous Cell Carcinoma

2011 ◽  
Vol 145 (1) ◽  
pp. 51-57 ◽  
Author(s):  
Andrew M. Compton ◽  
Tara Moore-Medlin ◽  
Lilantha Herman-Ferdinandez ◽  
Cheryl Clark ◽  
Gloria C. Caldito ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Human Papillomavirus ◽  
Lymph Nodes ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Neck Squamous Cell Carcinoma ◽  
Unknown Primary ◽  
Metastatic Lymph Nodes ◽  
Metastatic Lymph

scholarly journals Usefulness of Hybrid PET/MRI in Clinical Evaluation of Head and Neck Cancer Patients

Cancers ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 511 ◽  
Author(s):  
Natalia Samolyk-Kogaczewska ◽  
Ewa Sierko ◽  
Dorota Dziemianczyk-Pakiela ◽  
Klaudia Beata Nowaszewska ◽  
Malgorzata Lukasik ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Lymph Nodes ◽  
Head And Neck ◽  
Neck Cancer ◽  
Predictive Value ◽  
Tumor Volume ◽  
Preoperative Staging ◽  
Tumor Diameter ◽  
Metastatic Lymph Nodes ◽  
Metastatic Lymph

(1) Background: The novel hybrid of positron emission tomography/magnetic resonance (PET/MR) examination has been introduced to clinical practice. The aim of our study was to evaluate PET/MR usefulness in preoperative staging of head and neck cancer (HNC) patients (pts); (2) Methods: Thirty eight pts underwent both computed tomography (CT) and PET/MR examination, of whom 21 pts underwent surgical treatment as first-line therapy and were further included in the present study. Postsurgical tissue material was subjected to routine histopathological (HP) examination with additional evaluation of p16, human papillomavirus (HPV), Epstein-Barr virus (EBV) and Ki67 status. Agreement of clinical and pathological T staging, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) of CT and PET/MR in metastatic lymph nodes detection were defined. The verification of dependences between standardized uptake value (SUV value), tumor geometrical parameters, number of metastatic lymph nodes in PET/MR and CT, biochemical parameters, Ki67 index, p16, HPV and EBV status was made with statistical analysis of obtained results; (3) Results: PET/MR is characterized by better agreement in T staging, higher specificity, sensitivity, PPV and NPV of lymph nodes evaluation than CT imaging. Significant correlations were observed between SUVmax and maximal tumor diameter from PET/MR, between SUVmean and CT tumor volume, PET/MR tumor volume, maximal tumor diameter assessed in PET/MR. Other correlations were weak and insignificant; (4) Conclusions: Hybrid PET/MR imaging is useful in preoperative staging of HNC. Further studies are needed.

scholarly journals Potential Role of PET/MRI for Imaging Metastatic Lymph Nodes in Head and Neck Cancer

2016 ◽  
Vol 207 (2) ◽  
pp. 248-256 ◽  
Author(s):  
Sungheon Gene Kim ◽  
Kent Friedman ◽  
Sohil Patel ◽  
Mari Hagiwara
Keyword(s):  
Head And Neck Cancer ◽  
Lymph Nodes ◽  
Head And Neck ◽  
Neck Cancer ◽  
Potential Role ◽  
Metastatic Lymph Nodes ◽  
Metastatic Lymph

scholarly journals Ultrasonic diagnosis of cervical metastatic lymph nodes of patients with head and neck cancer.

1998 ◽  
Vol 10 (4) ◽  
pp. 275-281
Author(s):  
Junichi Ishii ◽  
Hirokazu Nagasawa ◽  
Tadashi Wadamori ◽  
Masashi Yamashiro ◽  
Masayuki Yamane ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Lymph Nodes ◽  
Head And Neck ◽  
Neck Cancer ◽  
Ultrasonic Diagnosis ◽  
Metastatic Lymph Nodes ◽  
Metastatic Lymph
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