Sentence examples for marked variations were from inspiring English sources
In the operating room studies, marked variations were demonstrated between different observers for a single patient [37, 38].
In studies of the degree of vascularity of primary breast tumors and their axiliary lymph node metastasis, marked variations were found in the level of vascularity and angiogenesis in individual tumors and their metastatic clones within the same patient, raising the possibility that different microenvironments affected the tumor's angiogenic response [ 34].
Marked variations were observed in different years of the study with an overall tendency of decreasing probability of receiving an experimental antiretroviral.
However, the solid sample must also be involved in the resolution degradation, because marked variations were observed between different areas on the gold-on-carbon sample.
No marked variations were observed in the recording of cessation advice with body mass index.
Treatment of impacted teeth (63.7%) was the most common reason for DGA receipt, followed by dental caries treatment (12.4%), although marked variations were seen by age-group.
Although all 11 trainees initially used the system, marked variation was noted in the number of procedures logged by individual trainees during the academic year (Fig. 2).
The range of error resulting from axial rotation compared with that from template marking variations is shown in Table 2. Given that rotational motion in the fixed segment model is 0°, and this error is affected more for anterior-posterior projections than for lateral ones, orthogonal radiographic positioning that minimises axial rotation is also important.
Marked variation was seen in the type and aetiology of airway emergencies admitted to the ICU.
When stratified by nativity status, marked ethnic variations were found in both native- and foreign-born individuals with disabilities (data not shown).
In other words, if existing imprinting was not accounted for, about one third marked variation would be lost, potentially leading to wrong conclusions in genetic analysis using SNP markers.
