Exact(1)
As indicated by several positive sets of data, imaging techniques have become an important tool in clinical decisions on therapeutic strategies for treating aggressive NHL, including DLBCL [ 14– 16].
Similar(59)
The study of biological processes has become increasingly reliant on obtaining high-resolution spatial and temporal data through imaging techniques.
Previous studies suggest that data derived from imaging techniques may be more sensitive than behavioral data collected in a standard test condition outside the scanner [ 27, 28, 50].
Clinical characteristics, pathological findings, data of various imaging techniques, and intraoperative, postoperative, and follow-up data were recorded for all patients.
In the following, data produced by imaging techniques are reviewed and applications of medical imaging from a big data point of view are discussed.
These data suggest that imaging techniques based on perfusion or blood volume changes may be more robust to shifts in baseline than those based on the dilution of deoxyhemoglobin, such as conventional BOLD fMRI.
Many large-scale genetic screens such as the CPT project are ongoing and the amount of data collected by imaging techniques is difficult to manage.
PEK helped to establish imaging techniques, analyze data, interpret data, and draft the manuscript.
Furthermore, dates and data about diagnosis (pathology, imaging techniques, blood counts), treatment of NHL (type of therapy, response), and multidisciplinary consultation were assessed.
PING imaging techniques, data acquisition and analyses are discussed in depth elsewhere and briefly below (Brown et al. 2012; Fjell et al. 2012; Walhovd et al. 2012).
Our data suggest that new imaging techniques that have the potential to unlock prognostic markers of postoperative outcome in individual patients should focus assessment on a bihemispheric thalamohippocampal network in prospective patients with refractory mTLE being considered for temporal lobe surgery.
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