Assessing size of pituitary adenomas: a comparison of qualitative and quantitative methods on MR.
retrospective_cohort · Level III
Where this comes from
- Record sourced from PubMed, PMID 26821836.
- Also identified by DOI 10.1007/s00701-015-2699-7 and PMC identifier 4791475.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
A variety of methods are used for estimating pituitary tumour size in clinical practice and in research. Quantitative methods, such as maximum tumour dimension, and qualitative methods, such as Hardy and Knosp grades, are well established but do not give an accurate assessment of the tumour volume. We therefore sought to compare existing measures of pituitary tumours with more quantitative methods of tumour volume estimation. Magnetic resonance imaging was reviewed for 99 consecutive patients with pituitary adenomas awaiting surgery between 2010 and 2013. Maximal tumour diameter, Hardy and Knosp grades were compared with tumour volume estimates by the ellipsoid equation, [4/3π (a,b,c)], (i.e. ellipsoid volume) and slice-by-slice perimetry (i.e. perimeter volume). Ellipsoid and perimeter methods of tumour volume estimation strongly correlated (R(2) = 0.99, p < 0.0001). However the correlation was less strong with increasing tumour size, with the ellipsoid method slightly underestimating. The mean differences were -0.11 (95 % CI, -0.35, 0.14), -0.74 (95 % CI, -2.2, 0.74) and -1.4 (95 % CI, -6.4, 3.7) for micro-tumours, macro-tumours and giant tumours respectively. Tumour volume correlated with maximal diameter, following a cubic distribution. Correlations of tumour volume with Hardy and Knosp grades was less strong. Perimeter and ellipsoid methods give a good estimation of tumour volume, whereas Knosp and Hardy grades may offer other clinically relevant information, such as cavernous sinus invasion or chiasmal compression. Thus the different methods of estimating tumour size are likely to have different clinical utilities.
Medical subject headings
- Adenoma
- Magnetic Resonance Imaging
- Pituitary Neoplasms