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评估垂体腺瘤的大小:磁共振成像上定性和定量方法的比较

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

作者信息

Davies Benjamin M, Carr Elizabeth, Soh Calvin, Gnanalingham Kanna K

机构信息

Department of Neurosurgery, Greater Manchester Neurosciences Centre, Salford Royal Foundation Trust, Stott Lane, Salford, M6 8HD, Manchester, UK.

Manchester Academic Health Sciences Centre, University of Manchester, Manchester, UK.

出版信息

Acta Neurochir (Wien). 2016 Apr;158(4):677-683. doi: 10.1007/s00701-015-2699-7. Epub 2016 Jan 29.

Abstract

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, [4/3π (a,b,c)], (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.

摘要

背景

在临床实践和研究中,有多种方法用于估计垂体瘤大小。定量方法,如肿瘤最大径,以及定性方法,如Hardy分级和Knosp分级,已被广泛应用,但这些方法并不能准确评估肿瘤体积。因此,我们试图将现有的垂体瘤测量方法与更定量的肿瘤体积估计方法进行比较。

方法

回顾性分析了2010年至2013年间99例等待手术的垂体腺瘤患者的磁共振成像资料。将肿瘤最大直径、Hardy分级和Knosp分级与通过椭球方程[4/3π(a,b,c)](即椭球体积)和逐层周长测量法(即周长体积)估计的肿瘤体积进行比较。

结果

肿瘤体积估计的椭球法和周长法高度相关(R(2)=0.99,p<0.0001)。然而,随着肿瘤大小的增加,相关性减弱,椭球法略有低估。微腺瘤、大腺瘤和巨大腺瘤的平均差异分别为-0.11(95%CI,-0.35,0.14)、-0.74(95%CI,-2.2,0.74)和-1.4(95%CI,-6.4,3.7)。肿瘤体积与最大直径呈三次方分布相关。肿瘤体积与Hardy分级和Knosp分级的相关性较弱。

结论

周长法和椭球法能较好地估计肿瘤体积,而Knosp分级和Hardy分级可能提供其他临床相关信息,如海绵窦侵犯或视交叉受压情况。因此,不同的肿瘤大小估计方法可能具有不同的临床应用价值。

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