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This portion of the study focused on a two factor analysis of disease type and disease depth, the data for which is shown in Figure 3.
Various markers have been suggested as predictive of response to anti- Helicobacter therapy, for example stage of disease, depth of infiltration and t(11 18) translocation (Ruskone-Fourmestraux et al, 2001; Wundisch et al, 2005).
Figure 3 shows the normal variants fibro-glandular (FG), fibro-adipose (FA), and adipose (A) in green, as well as the malignant variants (IDC in red and DCIS in black separated by disease depth).
With the development of MRI, it is now possible to accurately predict tumour stage and other prognostic features such as nodal disease, depth of extramural spread and the presence of vascular invasion (Brown et al, 1999, 2003; Botterill et al, 2001).
The second stage of the study to look at the effect of tissue type and disease depth examined only the retained sites with a predominant tissue type as described below in Histopathology; this excluded one patient and one margin that contained heterogeneous sites leaving 100 margins from 99 patients (32 malignant and 408 normal sites).
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The sources of underlying optical contrast were first examined across the normal and malignant variants inclusive of all disease depths.
The analysis of diarrheal disease and depth shows that intermediate-depth wells (140-300 feet) were associated with more childhood diarrhea than shallow wells (less than 140 feet) over the entire study period (OR = 1.24, 95% CI: 1.19-1.29) (Table 3).
Pathologic appearance of endometriosis depends on the duration of the disease and depth of penetration of the lesions [14].
An automatic core biopsy system (Bard® Magnum®) with an 18-gauge cutting needle (variable length, depending on the disease's depth) was used in all patients.
The status of sLex, but not sLea, in colorectal cancers was shown to be an independent predictive factor for disease recurrence, depth of tumor invasion, and histologic type [ 9, 10].
The primary aim of this study was to evaluate the VIS optical properties of normal and malignant breast tissues to understand the effect of the normal tissue types, different disease types, depth of disease, and patient demographics on the extracted optical properties.
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