Head and Neck Cancer

Walden, Michael J.; Aygün, Nafi

doi:10.1053/j.ro.2012.09.002

Cited by 24 publications

(26 citation statements)

References 47 publications

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“…OCSCC is treated with surgery when the tumor is at early stage, but advanced stage OCSCC cannot be treated with a single modality and requires multimodality treatment [1,14]. Our main role as imagers during staging of OCSCC patients is to identify whether a patient has advanced (T3/T4) versus early stage disease (T1/T2) [1,14].…”

Section: Discussionmentioning

confidence: 99%

“…Our main role as imagers during staging of OCSCC patients is to identify whether a patient has advanced (T3/T4) versus early stage disease (T1/T2) [1,14]. There are two common challenges during interpretation of both anatomic CECT and magnetic resonance imaging (MRI).…”

Section: Discussionmentioning

confidence: 99%

“…Squamous cell carcinoma of the head and neck (SCCHN) is the sixth most common cancer worldwide and eighth most common malignancy among males in the United States [1]. …”

Section: Introductionmentioning

confidence: 99%

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18F-FDG-PET/CT parameters as imaging biomarkers in oral cavity squamous cell carcinoma, is visual analysis of PET and contrast enhanced CT better than the numbers?

Kendi

Corey

Magliocca

et al. 2015

European Journal of Radiology

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Purpose This study was designed to seek associations between positron emission tomography/computed tomography (PET/CT) parameters, contrast enhanced neck computed tomography (CECT) and pathological findings, and to determine the potential prognostic value of PET/CT and CECT parameters in oral cavity squamous cell carcinoma (OCSCC). Materials and method 36 OCSCC patients underwent staging PET/CT and 30/36 of patients had CECT. PET/CT parameters were measured for the primary tumor and the hottest involved node, including maximum, mean, and peak standardized uptake values (SUV max, SUV mean, and SUV peak), metabolic tumor volume (MTV), total lesion glycolysis (TLG), standardized added metabolic activity (SAM), and normalized standardized added metabolic activity (N SAM). Qualitative assessment of PET/CT and CECT were also performed. Pathological outcomes included: perineural invasion, lymphovascular invasion, nodal extracapsular spread, grade, pathologic T and N stages. Multivariable logistic regression models were fit for each parameter and outcome adjusting for potentially confounding variables. Multivariable Cox proportional hazards models were used for progression free survival (PFS), locoregional recurrence free survival (LRFS), overall survival (OS) and distant metastasis free survival (DMFS). Results In multivariable analysis, patients with high (>=median) tumor SUV max (OR 6.3), SUV mean (OR 6.3), MTV (OR 19.0), TLG (OR 19.0), SAM (OR 11.7) and N SAM (OR 19.0) had high pathological T-stage (T3/T4) (p<0.05). Ring/heterogeneous pattern on CECT qualitative assessment was associated with worse DMFS and OS. Conclusion High PET/CT parameters were associated with pathologically advanced T stage (T3/T4). Qualitative assessment of CECT has prognostic value. PET/CT parameters did not predict clinical outcome.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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18F-FDG-PET/CT parameters as imaging biomarkers in oral cavity squamous cell carcinoma, is visual analysis of PET and contrast enhanced CT better than the numbers?

Kendi

Corey

Magliocca

et al. 2015

European Journal of Radiology

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“…Over 90% of head and neck cancers are squamous cell carcinoma of the mucosal surfaces at the head and neck region [1]. More than a million patients are diagnosed each year with squamous cell carcinoma of the head and neck (HNSCC) worldwide [2].…”

Section: Introductionmentioning

confidence: 99%

Spectral-spatial classification using tensor modeling for cancer detection with hyperspectral imaging

Halig

Wang

et al. 2014

SPIE Proceedings

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As an emerging technology, hyperspectral imaging (HSI) combines both the chemical specificity of spectroscopy and the spatial resolution of imaging, which may provide a non-invasive tool for cancer detection and diagnosis. Early detection of malignant lesions could improve both survival and quality of life of cancer patients. In this paper, we introduce a tensor-based computation and modeling framework for the analysis of hyperspectral images to detect head and neck cancer. The proposed classification method can distinguish between malignant tissue and healthy tissue with an average sensitivity of 96.97% and an average specificity of 91.42% in tumor-bearing mice. The hyperspectral imaging and classification technology has been demonstrated in animal models and can have many potential applications in cancer research and management.

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“…Stark hyperintense Sekretretention im Sinus maxillaris rechts (x). c Nach Kontrastmittelgabe reichert der Tumor deutlich an mit Wachstum durch die Lamina cribrosa nach intrakraniell (Pfeil).Abb 30. 53-jähriger Patient mit Plattenepithelkarzinom der Nase und Infiltration der Schädelbasis.…”

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Langner

2015

Laryngo-Rhino-Otol

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Head and Neck Cancer

Cited by 24 publications

References 47 publications

18F-FDG-PET/CT parameters as imaging biomarkers in oral cavity squamous cell carcinoma, is visual analysis of PET and contrast enhanced CT better than the numbers?

18F-FDG-PET/CT parameters as imaging biomarkers in oral cavity squamous cell carcinoma, is visual analysis of PET and contrast enhanced CT better than the numbers?

Spectral-spatial classification using tensor modeling for cancer detection with hyperspectral imaging

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