Texture parameters for 18 patients were included in the test, one patient participating in MaZda texture parameter calculation selleck compound was excluded because of smaller amount of image data than other patients leading to reduced textural data. In analyzing and this website seeking the best parameters for classification, it is vital to ensure low overall variation in the treatment process and to ascertain how this variation can be focused onto different components in the whole process.

In the present study the repeatability and reproducibility (R&R) method was applied. The design of the study was experimental, the aim being to estimate different sources of variation in the lymphoma texture at the three different timepoints (examinations 1, 2, and 3) and repeating the same measurements three times. Because the distributions were skewed, the range method was used. According to the standard Gage R&R terminology timepoints stand for operators, patients for parts and repeated measurements for trials.

In statistical terms the following variance components were estimated: repeatability (difference across measurements), reproducibility (difference across timepoints) and variability (difference across patients). Repeatability describes intrapatient variation, i.e., how a given measurer repeats the same planning process. Reproducibility describes interpatient variation, i.e., how different measurements at the timepoints follow the same planning process and variability describes interpatient variation, i.e. how well the same physician can repeat the planning process for different kinds of patients. The total error – also known as the combined R&R effect – includes repeatability and NSC23766 manufacturer reproducibility, and only patient-to-patient variation is excluded. In industrial applications the combined R&R should not exceed 10% of the total variation, but in certain situations a total error up to 30% may be acceptable. The present statistical analyses were performed by Statistica/W

(Version 5.1, 98 edition, Statsoft. Inc, Tulsa, OK, USA). Textural data from T1- and T2-weighted fat saturation image series were analysed separately and both groups divided into two subgroups according to slice thickness: 5–7 mm and 8–12 mm. Differences between imaging timepoints were analysed by Wilcoxon Signed Ranks. Mann-Whitney test was used to test rank parameters grouped by grade of malignity the and subjective change of symptoms. These analyses were performed by SPSS for Windows, version 14.0.2. Results Volumetric analysis The median volume of the lymphoma masses before treatment (E1) was 429 cm3, ranging from 72 cm3 to 2144 cm3. The median volume of the masses calculated from the second imaging timepoint (E2) was 190 cm3, ranging from 30 cm3 to1622 cm3. After the first treatment cycle, the lymphoma mass volume had decreased in all patients. The median decline in volume was 32%, ranging from 3% to 76%. The results of this volumetric analysis have been published earlier in more detail [37].