Several studies attempted to delineate the clinical, neuropsycho-logical, imaging, pathological, and biomarker differences between EOAD and LOAD based on the 65-year arbitrary cutoff proposed by Amaducci and colleagues [ 1] in 1986.
Based on the IHE Cross-Enterprise-Communication concept (IHE-XDS family), which is the core of many regional and national eHealth concepts, there is already a logical approach for connecting imaging centres with imaging biobanks.
At present, the logical role for advanced imaging is for patients with persistent symptoms and normal follow-up X-rays.
Therefore, exploiting the reductive microenvironment in hypoxic tumors by delivering electron-affinic, O2-mimetic radioactive drugs that bioreductively activate selectively in the hypoxic microenvironment offers a logical approach to molecular imaging of focal hypoxia.
Both bright-field and fluorescence images were taken every 3 min. Cell-movement tracks were generated by successive logical addition of images with macros written with the Optimas VI imaging library.
Therefore the development of 3D imaging was a logical but difficult step.
Since differential erosion rates can put a damper on molecular depth profiling and 3-dimensional molecular imaging, it is logical to question whether this approach is meaningful for characterizing single biological cells.
As being important in leukocyte trafficking to the sites of inflammation, they are logical targets for developing novel agents for imaging.
Given the steady increase in the use of CBCT in TACE procedures because of its proven benefits [ 20– 26], dose reduction for this imaging modality should be the next logical step to decrease cumulative radiation exposure even further.
With the information as to what general condition (OI and a specific type) most commonly mimics CAN, it would seem logical that these readily distinguishable history, physical examination, and imaging characteristics can aid in making the proper diagnosis.
In particular, multimodal imaging, combining functional and structural measures offer the most logical approach to further extend out understanding of the features that govern treatment outcomes in this complex disorder (Teipel et al., 2014).
