Sentence examples for demonstrates distant from inspiring English sources

The Yuchi language also demonstrates distant affinities to Siouan but is sufficiently distinctive to be classified as an isolate.

Quaglia et al. [4] demonstrated distant metastases in 50%% of their cases and whilst the frequency in our larger patient cohort was lower (30 %), our findings still suggest that metastases are common at presentation.

Moreover, serum IL-6 levels were not significantly different in lung cancer patients with or without clinically demonstrated distant metastasis.

Giovannini et al. [ 20] reported that EUS demonstrated distant lymphadenopathy in 40 of 198 patients (20%) with oesophageal cancer.

Figure 2 shows Kaplan Meier curves demonstrating distant recurrence-free survival of patients with high (2+/3+) vs low (0/1+) levels of PTK6 and HER4 expression, respectively.

This demonstrates that distant metastasis can occur during the early phase of tumor growth in these aggressive lesions.

18 A phase I/II study of induction chemotherapy with DCF followed by CRT in patients with unresectable locally advanced esophageal carcinoma demonstrated excellent distant control, with a distant metastasis rate of 9%.

One promising treatment strategy for distant control is induction chemotherapy, which demonstrated decreased distant metastasis in a randomized trial of squamous cell carcinoma of the head and neck.

Several publications have reported on the additional value of FDG-PET for the detection of distant metastases, and it has been demonstrated that distant metastases were detected with FDG-PET in 0 20% of patients with oesophageal cancer, which were not found with other investigations.

The whole-body [11C]MTO PET imaging identified 14 unknown distant metastases in four patients, while [11C]ACE PET demonstrated 11 distant metastases in three patients, all in the HCC patient group.

To demonstrate the distant sequence features are informative for the identification of ubiquitylation sites, herein, five-fold cross-validation is performed to evaluate the models trained with various window sizes 2n+1, where n varies from five to twenty.