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The value of the imaging methods demonstrates that the development and use of non-invasive anthropometric techniques is critical to this area of research.
However, in addition to the suggestion by Koh et al. [12] that separating different b-values may contribute to this, it was shown herein that the differentiated analysis of minimal and maximal ADC values may increase the value of the imaging [34, 35].
This may bias our results if these excluded subjects differ with respect to the value of the imaging measures in predicting conversion.
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The sensitivity, specificity, accuracy, and predictive values of the imaging methods for assessing recurrence and secondary primary cancer were evaluated.
The findings of recent BSI studies show the value of this imaging biomarker in both at the time of diagnosis and at a later stage of the disease.
Our study extends these reports to document the value of this imaging approach to molecular pathways involved in diabetes.
In addition, failure of tissue-engineered cartilage, consistent with previous results, demonstrates the qualitative value of this imaging approach.
Nevertheless, the real value of this imaging technique for diagnosis and planning of orthodontic treatment remains uncertain [2 7].
However, only two studies with midterm follow-up evaluated the prognostic value of this imaging modality in patients with diabetes (9, 10).
To assess the value of the multimodal imaging, we recorded and superimposed optical tomography and SPIM volumes of a Tg neurog1 GFP)× Tg kdrl:rasCherry) embryo expressing green fluorescent protein (GFP) in neuronal cells and mCherry in endothelial cells.
Still, per-patient-based data are not pertinent for determining the diagnostic value of the different imaging modalities in preoperative evaluation of CRLM.
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