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Assessing size of pituitary adenomas: a comparison of qualitative and quantitative methods on MR

BACKGROUND: 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 tum...

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Autores principales: Davies, Benjamin M., Carr, Elizabeth, Soh, Calvin, Gnanalingham, Kanna K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791475/
https://www.ncbi.nlm.nih.gov/pubmed/26821836
http://dx.doi.org/10.1007/s00701-015-2699-7
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author Davies, Benjamin M.
Carr, Elizabeth
Soh, Calvin
Gnanalingham, Kanna K.
author_facet Davies, Benjamin M.
Carr, Elizabeth
Soh, Calvin
Gnanalingham, Kanna K.
author_sort Davies, Benjamin M.
collection PubMed
description BACKGROUND: 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. METHOD: 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, [[Formula: see text] ], (i.e. ellipsoid volume) and slice-by-slice perimetry (i.e. perimeter volume). RESULTS: 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. CONCLUSIONS: 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.
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spelling pubmed-47914752016-04-09 Assessing size of pituitary adenomas: a comparison of qualitative and quantitative methods on MR Davies, Benjamin M. Carr, Elizabeth Soh, Calvin Gnanalingham, Kanna K. Acta Neurochir (Wien) Clinical Article - Brain Tumors BACKGROUND: 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. METHOD: 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, [[Formula: see text] ], (i.e. ellipsoid volume) and slice-by-slice perimetry (i.e. perimeter volume). RESULTS: 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. CONCLUSIONS: 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. Springer Vienna 2016-01-29 2016 /pmc/articles/PMC4791475/ /pubmed/26821836 http://dx.doi.org/10.1007/s00701-015-2699-7 Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Clinical Article - Brain Tumors
Davies, Benjamin M.
Carr, Elizabeth
Soh, Calvin
Gnanalingham, Kanna K.
Assessing size of pituitary adenomas: a comparison of qualitative and quantitative methods on MR
title Assessing size of pituitary adenomas: a comparison of qualitative and quantitative methods on MR
title_full Assessing size of pituitary adenomas: a comparison of qualitative and quantitative methods on MR
title_fullStr Assessing size of pituitary adenomas: a comparison of qualitative and quantitative methods on MR
title_full_unstemmed Assessing size of pituitary adenomas: a comparison of qualitative and quantitative methods on MR
title_short Assessing size of pituitary adenomas: a comparison of qualitative and quantitative methods on MR
title_sort assessing size of pituitary adenomas: a comparison of qualitative and quantitative methods on mr
topic Clinical Article - Brain Tumors
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791475/
https://www.ncbi.nlm.nih.gov/pubmed/26821836
http://dx.doi.org/10.1007/s00701-015-2699-7
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