Ultrasound examination of the head and neck

Structure of this thesis Part I deals with basic bio-physics and bio-effects of clinical ultrasound of the head and neck. Furthermore, the ultrasound anatomy of the head and neck is described and illustrated. In addition, the technique of ultrasound guided fine needle aspiration biopsy (UGFNAB) is outlined. In part H the significThe fallibility of palpation and current diagnostic tests to detect subclinical (occult) nodal disease in patients with upper aero-digestive tract cancer results in imperfect staging, improper treatment and delayed identification of recurrences in the neck. With continuous advances in imaging techniques (CT, MRI), the sensitivity for the detection of cervical lymph nodes is true enough increasing, while the specificity for detecting metastasis with these techniques remains low. An ideal diagnostic test should be suitable for screening, demonstrating and excluding cervical metastasis. In addition, the test should have no morbidity. The diagnostic work-up of patients with a head and neck mass is another important diagnostic problem. Although careful history taking and thorough ENT examination may be sufficiently characteristic to permit diagnosis, every clinical diagnosis will be associated with a certain degree of uncertainty. This uncertainty is mainly deterntined by the lintitations of clinical exantination in differentiating between solid and cystic lesions on one hand, and the establishment of exact anatontic properties on the other. In addition, there is a proportion of lesions which, despite thorough diagnostic work-up. remain elusive and are subjected to premature surgical exploration. CT may contribute to the pre-treatment work-up but is associated with several important drawbacks: high costs, lintited availability, radiation exposure and the need to use intravenous contrast. A simple, uniformly reliable, non-invasive and cost-effective test would be beneficial in these cases. The low accuracy of current diagnostic methods in the assessment of cervical nodal disease and the difficulties to evaluate head and neck masses actuated the present study, which started in 1984. By that time small-parts ultrasound transducers had been developed. These high-frequency transducers seemed better suited for examination of the superficial tissues in the head and neck region than earlier ultrasound equipment. In close cooperation between the departments of Radiology and Otorhinolaryngology and Head and Neck Surgery. a prospective study on the value of ultrasound examination of the head and neck was designed. The purpose of this study was to deterntine the values of palpation and ultrasound examination in the assessment of cervical metastatic disease in patients with upper aerodigestive tract cancer and in the evaluation of head and neck masses. An additional purpose of this study was to appraise the adjunctive value of cytologic exantination in the above mentioned clinical problem

Prediction of survival with alternative modeling techniques using pseudo values

Background: The use of alternative modeling techniques for predicting patient survival is complicated by the fact that some alternative techniques cannot readily deal with censoring, which is essential for analyzing survival data. In the current study, we aimed to demonstrate that pseudo values enable statistically appropriate analyses of survival outcomes when used in seven alternative modeling techniques. Methods: In this case study, we analyzed survival of 1282 Dutch patients with newly diagnosed Head and Neck Squamous Cell Carcinoma (HNSCC) with conventional Kaplan-Meier and Cox regression analysis. We subsequently calculated pseudo values to reflect the individual survival patterns. We used these pseudo values to compare recursive partitioning (RPART), neural nets (NNET), logistic regression (LR) general linear models (GLM) and three variants of support vector machines (SVM) with respect to dichotomous 60-month survival, and continuous pseudo values at 60 months or estimated survival time. We used the area under the ROC curve (AUC) and the root of the mean squared error (RMSE) to compare the performance of these models using bootstrap validation. Results: Of a total of 1282 patients, 986 patients died during a median follow-up of 66 months (60-month survival: 52% [95% CI: 50%-55%]). The L

Noncompliance to guidelines in head and neck cancer treatment; associated factors for both patient and physician

Background: Decisions on head and neck squamous cell carcinoma (HNSCC) treatment are widely recognized as being difficult, due to high morbidity, often involving vital functions. Some patients may therefore decline standard, curative treatment. In addition doctors may propose alternative, nonstandard treatments. Little attention is devoted, both in literature and in daily practice, to understanding why and when HNSCC patients or their physicians decline standard, curative treatment modalities. Our objective is to determine factors associated with noncompliance in head and neck cancer treatment for both patients and physicians and to assess the influence of patient compliance on prognosis. Methods: We did a retrospective study based on the medical records of 829 patients with primary HNSCC, who were eligible for curative treatment and referred to our hospital between 2010 and 2012. We analyzed treatment choice and reasons for nonstandard treatment decisions, survival, age, gender, social network, tumor site, cTNM classification, and comorbidity (ACE27). Multivariate analysis using logistic regression methods was performed to determine predictive factors associated with non-standard treatment following physician or patient decision. To gain insight in survival of the different groups of patients, we applied a Cox regression analysis. After checking the proportional hazards assumption for each variable, we adjusted the survival analysis for gender, age, tumor site, tumor stage, comorbidity and a history of having a prior tumor. Results: 17 % of all patients with a primary HNSCC did not receive standard curative treatment, either due to nonstandard treatment advice (10 %) or due to the patient choosing an alternative (7 %). A further 3 % of all patients refused any type of therapy, even though they were considered eligible for curative treatment. Elderliness, single marital status, female gender, high tumor stage and severe comorbidity are predictive factors. Patients declining standard treatment have a lower overall 3-year survival (34 % vs. 70 %). Conclusions: Predictive factors for nonstandard treatment decisions in head and neck cancer treatment differed between the treating physician and the patient. Patients who received nonstandard treatment had a lower overall 3-year survival. These findings should be taken into account when counselling patients in whom nonstandard treatment is considered

Development and validation of Raman spectroscopic classification models to discriminate tongue squamous cell carcinoma from non-tumorous tissue

Background Currently, up to 85% of the oral resection specimens have inadequate resection margins, of which the majority is located in the deeper soft tissue layers. The prognosis of patients with oral cavity squamous cell carcinoma (OCSCC) of the tongue is negatively affected by these inadequate surgical resections. Raman spectroscopy, an optical technique, can potentially be used for intra-operative evaluation of resection margins. Objective To develop in vitro Raman spectroscopy-based tissue classification models that discriminate OCSCC of the tongue from (subepithelial) non-tumorous tissue. Materials and methods Tissue classification models were developed using Principal Components Analysis (PCA) followed by (hierarchical) Linear Discriminant Analysis ((h)LDA). The models were based on a training set of 720 histopathologically annotated Raman spectra, obtained from 25 tongue samples (11 OCSCC and 14 normal) of 10 patients, and were validated by means of an independent validation set of 367 spectra, obtained from 19 tongue samples (6 OCSCC and 13 normal) of 11 patients. Results A PCA-LDA tissue classification model ‘tumor’ versus ‘non-tumorous tissue’ (i.e. surface squamous epithelium, connective tissue, muscle, adipose tissue, gland and nerve) showed an accuracy of 86% (sensitivity: 100%, specificity: 66%). A two-step PCA-hLDA tissue classification model ‘tumor’ versus ‘non-tumorous tissue’ showed an accuracy of 91%

Head and neck cancer patients' preferences for individualized prognostic information: a focus group study

BACKGROUND: Head and Neck cancer (HNC) is characterized by significant mortality and morbidity. Treatment is often invasive and interferes with vital functions, resulting in a delicate balance between survival benefit and deterioration in quality of life (QoL). Therefore, including prognostic information during patient counseling can be of great importance. The first aim of this study was to explore HNC patients' preferences for receiving prognostic information: both qualitative (general terms like "curable cancer"), and quantitative information (numbers, percentages). The second aim of this study was to explore patients' views on "OncologIQ", a prognostic model developed to estimate overall survival in newly diagnosed HNC patients. METHODS: We conducted a single center qualitative study by organizing five focus groups with HNC patients (n = 21) and their caregivers (n = 19), categorized in: 1) small laryngeal carcinomas treated with radiotherapy or laser, 2) extensive oral cavity procedures, 3) total laryngectomy, 4) chemoradiation, 5) other treatments. The patients' perspective was the main focus. The interview guide consiste

Assessing hearing loss in older adults with a single question and person characteristics; Comparison with pure tone audiometry in the Rotterdam Study

INTRODUCTION: Hearing loss (HL) is a frequent problem among the elderly and has been studied in many cohort studies. However, pure tone audiometry-the gold standard-is rather time-consuming and costly for large population-based studies. We have investigated if self-reported hearing loss, using a multiple choice question, can be used to assess HL in absence of pure tone audiometry. METHODS: This study was performed within 4,906 participants of the Rotterdam Study. The question (in Dutch) that was investigated was: 'Do you have any difficulty with your hearing (without hearing aids)?'. The answer options were: 'never', 'sometimes', 'often' and 'daily'. Mild hearing loss or worse was defined as PTA0.5-4(Pure Tone Average 0.5, 1, 2 & 4 kHz) ≥20dBHL and moderate HL or worse as ≥35dBHL. A univariable linear regression model was fitted with the PTA0.5-4 and the answer to the question. Subsequently, sex, age and education were added in a multivariable linear regression model. The ability of the question to classify HL, accounting for sex, age and education, was explored through logistic regression models creating prediction estimates, which were plotted in ROC curves. RESULTS: The variance explained (R2) by the univariable regression was 0.37, which increased substantially after adding age (R2 = 0.60). The addition of sex and educational level, however, did not alter the R2 (0.61). The ability of the question to classify hearing loss, reflec

Corrigendum: Hearing impairment is associated with smaller brain volume in aging

In the original article, Roshchupkin et al. (2016) was not cited in the article. The citation has now been inserted in Materials and Methods, subsection Brain MRI Acquisition and Processing, second paragraph and should read: Voxel based morphometry (VBM) was performed according to an optimized VBM protocol (Good et al., 2001) and was previously described (Roshchupkin et al., 2016). FSL software (Smith et al., 2004) was used for VBM data processing, all GM and WM density maps were non-linearly registered to the standard ICBM MNI152 GM and WM template (Montreal Neurological Institute) with a 1 mm × 1 mm × 1 mm voxel resolution. Subsequently, a spatial modulation and smoothing procedure with 3 mm (FWHM 8 mm) isotropic Gaussian kernel were applied to all images. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. Conflict of Interest Statement The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest