Sentence examples for recognised feature from inspiring English sources

While nodules are a well recognised feature of LCH, ground glass opacification is not typically associated with either LCH or LAM.

In accordance with the above-mentioned data, myocardial oedema on CMR is the only recognised feature in TCM, reflecting acute inflammation and myocardial injury [ 25].

Inactivation of wild type P53 by its main cellular inhibitors (MDM2 and MDMX) is a well recognised feature of tumour formation in liposarcomas.

One key diagnostic difficulty is the separation of the recognised feature of an aggressive rapidly appearing and progressive condition and a more indolent but long neglected locally advanced primary breast cancer.

Whilst multiple factors contribute to the assessment of these signs, the predominant technical consideration is discussed for each in turn: Margin delineation: Margin delineation: An abnormal thyroid nodule margin is a recognised feature of thyroid malignancy.

Smetana's performances in these concerts became a recognised feature of Prague's musical life.

The second, more extensive, investigation used electrical resistivity tomography and gravimetric survey in order to extend the previously recognised features both laterally and to depth.

Recognised features suspicious for malignancy used include: microcalcification, ill defined contours, marked hypogenicity and presence of internal or mixed vascularity [1, 2].

Other findings, such as discomfort amongst some students with the peer teacher role, are recognised features of new PAL initiatives, particularly where provision of feedback to peers is involved (Topping 1998).

Consistent with our previous study, exendin-4 (and insulin) had no effect on cardiac morphometry or cardiomyocyte area in diabetic animals, although both body weight and LV mass were reduced by STZ, which are recognised features of this model [ 34, 45].

Unlike conventional graph-based methods, which recognise features by graph matching, the new approach recognises the undercut features by searching the cut-sets of subgraphs.