Positron emission tomography used to evaluate the uptake of FDG in tumors yields data that correlate with the antitumor effect of chemotherapy in patients with liver metastases from colorectal cancer.
A fast accurate iterative reconstruction (FAIR) method suitable for low-statistics positron volume imaging has been developed. The method, based on the expectation maximization-maximum likelihood (EM-ML) technique, operates on list-mode data rather than histogrammed projection data and can, in just one pass through the data, generate images with the same characteristics as several ML iterations. Use of list-mode data preserves maximum sampling accuracy and implicitly ignores lines of response (LORs) in which no counts were recorded. The method is particularly suited to systems where sampling accuracy can be lost by histogramming events into coarse LOR bins, and also to sparse data situations such as fast whole-body and dynamic imaging where sampling accuracy may be compromised by storage requirements and where reconstruction time can be wasted by including LORs with no counts. The technique can be accelerated by operating on subsets of list-mode data which also allows scope for simultaneous data acquisition and iterative reconstruction. The method is compared with a standard implementation of the EM-ML technique and is shown to offer improved resolution, contrast and noise properties as a direct result of using improved spatial sampling, limited only by hardware specifications.
This study documents the optical reflectance characteristics of pigmented skin lesions and evaluates their potential for improving the differential diagnosis of malignant melanoma from benign pigmented skin lesions. Optical reflectance spectra in the wavelength range 320-1100 nm were obtained from 121 lesions already selected by expert dermatologists as suspicious of malignancy. Characteristic differences in spectra from benign and malignant lesions were studied. Feature extraction showed significant differences between lesion groups classified by histology. Seven of the most relevant features were used in the discriminant analysis of reflectance spectra from 15 melanoma and 32 compound naevi which resulted in a sensitivity of 100% and specificity of 84.4% when compared with histology. This simple objective technique appears to perform as well as the expert dermatologist and may improve the diagnostic accuracy of non-specialists such as trainees and GPs. Further prospective clinical study of reflectance spectrophotometry in a larger patient group is now required.
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