The Keloid Intervention Benefit Inventory 21: A New Assessment Tool for the Quality of Life of Patients with Auricular Keloids.

The assessment of the quality of life (QoL) of patients with chronic diseases before and after medical interventions has gained increasing importance in recent decades. Particularly for patients with visible keloid scars in the head and neck region, standardized measurement tools are either absent or have been shown to be insufficient. The aim of the present study was to create a new standardized questionnaire that is specific to auricular keloid patients and reflects their clinical symptoms and QoL. The Keloid Intervention Benefit Inventory 21 (KIBI-21) questionnaire was developed in two stages. First, a group of experts identified a pool of 26 questions and modified and supplemented the items through a comparison with existing QoL assessments so that they related to keloid-specific clinical symptoms and the QoL of patients with auricular keloids before and after a medical intervention. This questionnaire was distributed to 27 outpatients who had undergone medical interventions for visible auricular keloids. Second, a sequential statistical analysis was conducted. This included a single-item assessment and reduction, analysis for internal consistency, construct validity, and divergence validity as well as a factor analysis. The analyses were performed for the entire questionnaire and for the items in the subcategories General Health, Physical Symptoms, Self-Esteem, and Social Impact. The final version of this newly validated and standardized KIBI questionnaire consisted of 21 items, of which each item was assigned to only one subscale. The questionnaire showed a Cronbach's α of 0.84 with a good internal consistency. In the item correlation validity, strong associations were found in all subscales, except for the Social Impact Subscale. The keloid-specific QoL questionnaire KIBI-21 proved to be a reliable and reproducible instrument to assess the QoL and clinical symptoms in patients suffering from auricular keloids before and after a medical treatment.

Effect of time-of-flight technique on the diagnostic performance of 18F-FDG PET/CT for assessment of lymph node metastases in head and neck squamous cell carcinoma.

UNLABELLED: Precise assessment of lymph node metastases is critical to the treatment outcome and overall survival of patients with head and neck squamous cell carcinoma (HNSCC). The purpose of this study was to investigate the effect of time-of-flight (TOF) technique on the diagnostic performance of (18)F-FDG PET/CT for assessment of lymph node metastases in HNSCC patients. METHODS: In 39 patients with an initial diagnosis of HNSCC, preoperative staging (18)F-FDG PET/CT was performed to assess lymph node metastases before surgery and histologic verification. Potential lymph node metastases were evaluated and documented separately for the right and left neck in accordance with the head and neck lymph node level classification. Two experienced readers measured lesion volume and uptake for every PET-positive lymph node. Sensitivity, specificity, image quality, and the PET characterization of the lesion (benign or malignant) were compared between different reconstruction methods (TOF PET and standard high-definition PET) and matrices for both readers. RESULTS: TOF PET significantly increased the maximal standardized uptake value (SUVmax) but had no significant effect on lesion volume. However, a higher SUVmax did not result in a significant increase in small-lesion detection. Sensitivity and image quality were slightly improved with TOF PET but not significantly so. Matrix, on the other hand, had a significant effect on detected lesion numbers, sensitivity, and image quality. CONCLUSION: For preoperative assessment of lymph node metastases in HNSCC, (18)F-FDG PET/CT using TOF technique increases SUVmax in lesions and improves image quality but has no significant impact on small-lesion detectability.

Effect of reconstruction parameters in high-definition PET/CT on assessment of lymph node metastases in head and neck squamous cell carcinoma.

UNLABELLED: Therapy outcome and overall survival in patients with head and neck squamous cell carcinoma (HNSCC) is influenced by precise localization of the primary tumor and detection of lymph node metastasis involvement at the time of initial diagnosis. Only accurate preoperative staging can improve primary tumor response and avoid early locoregional recurrence with lymph node metastases. The purpose of this study was the optimization of reconstruction parameters in high-definition PET/CT for the improved diagnostic assessment of lymph node metastases. METHODS: In the experimental study, image contrast and signal-to-noise ratio were evaluated using a Jaszczak phantom. In the clinical study, 54 patients underwent head and neck imaging on a PET/CT scanner. Diagnostic findings were correlated with postoperative histopathology. For the 54 patients, 123 lymph nodes were evaluated on PET and histologically correlated with the neck dissection specimen. Forty-one lymph nodes were benign, and 82 findings were confirmed as being malignant. Both experimental and clinical studies were reconstructed into a 200 × 200 matrix using a 3-dimensional iterative reconstruction algorithm (ordered-subset expectation maximization [OSEM], 3 iterative steps, 24 subsets). Postfiltering with a 3-dimensional gaussian filter was applied. To study the effect of smoothing filter strength on the diagnostic accuracy of lymph node metastasis detection, 3 different cutoffs-1, 3, and 6 mm in full width at half maximum-were used to perform reconstructions. RESULTS: Phantom studies showed that images reconstructed with 3-mm gaussian postfiltering gained a higher image quality and signal-to-noise ratio. Overall sensitivities for correctly diagnosed lymph nodes were best in 3-mm postfiltered images. Best results for true-positive lymph node findings were achieved with 3-mm postfiltering. With 1-mm postfiltering, accurate lesion detection was not improved, because increasing sensitivity (95% true-positive) correlated with decreasing specificity (12% false-positive). CONCLUSION: For lymph node assessment on a high-resolution PET/CT scanner, we consider the OSEM algorithm with 3 iterations and 24 subsets, combined with 3-dimensional 3-mm gaussian postfiltering, to be optimal. The continuous application of presently established PET protocols in patients with HNSCC will prove whether current acquisition and reconstruction methods are valuable and should be maintained.

Cross-sectional imaging combined with 3D-MR angiography (3D-MRA): diagnostic tool for preoperative vascular assessment of head and neck tumors.

BACKGROUND: Head and neck cancer accounts for 5% of all malignancies worldwide. The presence of lymph node metastases and vascular infiltration influence patient outcome. This prospective study describes the preoperative morphologic assessment of the vascular status of patients with head and neck tumors by means of high spatial resolution and extended coverage of the arterial and venous system reaching from the supra-aortic region to the skull base. PATIENTS AND METHODS: Cross-sectional imaging combined with contrast-enhanced 3D-maximum intensity projection MR angiography (3D-MRA) was applied using a dedicated head and neck coil with a 4-channel panorama array system interface to assess vascular involvement in patients with suspected head and neck cancer. 32 patients underwent preoperative assessment by magnetic resonance imaging (MRI). The results were then correlated with surgical and histological findings. RESULTS: 3 of the 32 patients (9%) demonstrated involvement of the arterial system. In 2 of these 3 cases, MRA correctly predicted the arterial status, while in 1 case it gave a false negative result. 11 of the 32 patients (34%) presented with involvement of the venous system. 10 cases showed complete concordance between the findings of the MR venography and the intraoperative status, while in 1 case a false negative result was produced. CONCLUSION: In patients with suspected head and neck tumors, 3D-MRA in combination with cross sectional imaging is a valuable diagnostic tool for the detection of vascular involvement.