The New York Eye Cancer Center, 115 East 61st Street, New York, NY 10065, USA.
AIM: To evaluate 18-fluoro-2-deoxyglucose (FDG) whole-body positron emission tomography/computed radiographic tomography (PET/CT) for lymph node and metastatic staging of patients with conjunctival melanoma. METHODS: Fourteen patients with T3 (n = 13) and T4 (n = 1) conjunctival melanoma (as defined in Chapter 42 of the AJCC staging manual) were staged for metastatic disease with PET/CT imaging with fusion. The patients had lymph node and clinical staging evaluations before PET/CT imaging. PET/CT images were studied for the presence and distribution of metastatic conjunctival melanoma (determined by standardised uptake values) and later confirmed by biopsy. MRI imaging was performed if abnormalities were noted on PET/CT images. RESULTS: Fourteen patients with conjunctival melanoma underwent PET/CT imaging. Seven were newly diagnosed (presurgical screening), and seven had undergone prior treatment (follow-up group). Only one patient with conjunctival melanoma (7.1%) was found to have metastatic disease on PET/CT imaging. Abnormal foci were found in the liver, lung, peritoneal cavity, lumbar spine as well as a supraclavicular node (T4N1M4). All liver function tests were normal. The mean length of follow-up after PET/CT imaging was 13 months (range 4-30 months). CONCLUSIONS: PET/CT imaging did not reveal any regional or systemic metastasis among 14 patients with advanced, diffuse and multifocal disease.
Share This
Posted in lymph node, metastatic staging, staging, conjunctival melanoma, CT imaging, 18 FDG PET, melanoma, conjunctival, Whole body, Metastatic | No Comments »
April 21st, 2008 by admin
Department of Electronic Engineering, University of Rome Tor Vergata, Roma, Italy.
BACKGROUND/PURPOSE: The relationship between diseases and alterations of the airborne chemicals emitted from the body has been found in many different pathologies and in particular for various forms of cancer. Metabolism of cancer cells is greatly altered during their lifetime; then, modification of chemicals is supposed to be large around cancer tissues. Positive hints in this direction were provided, as an example, on studying the breath composition of lung cancer-affected subjects. Besides the conventional analytical approaches, in recent years sensor arrays were also applied to these researches considering the chemical composition changes as those occurring in other applications such as for instance, those dealing with food quality measurements. METHODS: In this paper, the first application of sensor arrays to study the differentiation between melanomas and nevi, namely malignant and benign affection of melanocytary cells, respectively, is presented and discussed. The localization of lesions on the skin surface made possible the utilization of differential measurements aimed at capturing the differences between two adjacent skin regions. This approach strongly reduces the influence of skin headspace variability due to the peculiar subjective odour background and the skin odour variability. The measurement campaign involved 40 cases; 10 of these were diagnosed melanomas referred to surgical intervention. Nine of these diagnoses were further confirmed by histological examinations of the removed tissue and one was a false positive. RESULTS: The differences in the chemical composition of headspace were verified with a gas-chromatographic investigation, and the classification of electronic nose data provided an estimated cross-validated accuracy of the same order of magnitude as the currently used diagnostic instruments. CONCLUSION: Electronic nose sensors have been shown to have good sensitivity towards volatile organic compounds emitted by skin lesions, and the method seems to be effective for malign lesions identification. The results presented in this paper encourage a second experimental campaign with a larger number of participants and a systematic use of gas chromatography mass spectrometer technology in order to identify some possible melanoma biomarkers.
Share This
Posted in gas sensor array, melanoma, Identification | No Comments »