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In stage IV disease, a curative strategy can only be proposed for selected patients when the primary and distant metastases are both resectable with 20-50% rates of long-term survival and cure after complete resection [ 1].
In general, surgery for MSCC should be proposed for selected patients, i.e. if there are diagnostic doubts, if stabilization of the vertebral column is required, in case of (impending) sphincter dysfunction, in case of deterioration of motor function during RT, after previous longer-course RT, or if collapse of the vertebral body causes bone impingement on the spinal cord or the nerve roots.
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In light of the enhanced sensitivity to treatment of HPV-related HNSCC, de-intensification of present treatment strategies in order to avoid excessive toxicity has been proposed for selected patients with minimal risk of distant metastasis [25].
A same evening discharge has been proposed for selected patients after carotid endarteriectomy, since preliminary studies have shown that all severe complications (stroke, neck hematoma) occur very early, allowing restricting observation to eight hours [ 51].
A hybrid variable selection method is proposed for selecting input variables for support vector regression (SVR) model.
A two-step boosting feature selection (BFS) technique is proposed for selecting a compact and discriminant user-specific feature representation from a large number of feature extractions.
A criterion based on mutual information is proposed for selecting a sensitive IMF.
A method is proposed for selecting this number in the inverse problem in which information regarding acoustic sources is unknown.
The general minimum lower order confounding (GMC) is an elaborate criterion which was proposed for selecting optimal fractional factorial designs.
Finally, a structural design procedure is proposed for selecting suitable value of flexural rigidity of the steel supporting structure.
Since the choice of the mother wavelet substantially impact the performance, a criterion is proposed for selecting the optimal wavelet.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com