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Discrepancies between visual and quantitative assessment occurred in between 11 (21.1 %) and 22 (42.3 %) of the 52 lesions, depending on the reader and whether planar or SPECT/CT imaging was considered (Table 5).
The aim of this study was to assess the agreement between visual and quantitative evaluation of changes in local tracer uptake for patients with malignant bone lesions.
Based on our small dataset, we could show a large discrepancy between visual and quantitative analysis, yielding inconsistent results in up to 42.3%% of the inspected lesions.
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It is noteworthy that sensitivities and specificities did not differ significantly between qualitative (visual) and quantitative methods (SUVR cutoff automated classification in raised uptake category).
The present analysis of 59 patients suggested that each interim PET/CT response based on 5-PS, ΔSUVmax, and ΔMTV2.5 after three and four courses of induction treatment had predictive value for PFS in patients with PTCL; no significant difference was observed between the visual and quantitative assessments for predicting the progression.
Although differences between studies exist, in both visual and quantitative assessment, positivity was defined based on the presence or absence of tracer uptake in the brain cortical regions in relation to a reference region believed not to accumulate amyloid, most commonly the cerebellum.
There were not a large number of intermediate forms between the behavioral types as the visual and quantitative classifications could not be reconciled in only five individuals.
A novel method for the visual and quantitative analysis of the geometrical relationship between the vascular architecture of the brain and white matter pathology is presented.
The result of the project was the ENC-DAT database of 140 subjects created using 16 scanners, which gave both visual and quantitative information on striatal dopamine transporter availability in healthy subjects between 20 and 83 years of age.
Both visual and quantitative results are demonstrated.
This approach can produce images with excellent visual and quantitative properties [11].
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