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垂体大腺瘤的磁共振成像分级——重新审视SIPAP分类法

Magnetic resonance imaging grading of pituitary macroadenoma - SIPAP classification revisited.

作者信息

Anwar Shayan Sirat Maheen, Hilal Kiran, Khan Anam, Ahmad Asra

机构信息

Department of Radiology, Aga Khan University, Karachi, Pakistan.

出版信息

Eur J Radiol Open. 2023 Mar 20;10:100486. doi: 10.1016/j.ejro.2023.100486. eCollection 2023.

Abstract

BACKGROUND

Magnetic resonance imaging (MRI) is regarded as the modality of choice in diagnosis of pituitary macroadenomas. Since surgery is the first line therapy for all pituitary adenomas, simple and reproducible MRI classification based on major directions of tumour growth is an essential tool. SIPAP MRI classification for pituitary adenoma describes tumor extension in parasellar, suprasellar, infrasellar, anterior and posterior directions. We, therefore, evaluated reproducibility of SIPAP classification in reporting of pituitary adenomas.

METHODS

Forty-nine patients with biopsy-proven pituitary macroadenoma were graded according to SIPAP classification. Data was analyzed using Stata version 15. Interobserver variability was calculated using Cohen's Kappa. Comparison between grading before and after treatment was performed by Chi-square test. P values < 0.05 were considered statistically significant.

RESULTS

Individual tumour extensions according to SIPAP for pre- and post-operative grading showed significant difference (p-value <0.001), except for anterior extension. For suprasellar extension, 67.3 % patients had pre-operative grade-3 and 63.3 % had post-operative grade-0. For infrasellar extension, 51.0 % had pre-operative grade-2 and 71.4 % had post-operative grade-0. Anterior, posterior and parasellar extensions showed increased frequency in grade-0 in post-operative stage compared to pre-operative. Substantial inter-observer agreement was achieved for Superior, Inferior, Anterior and Posterior extent with all Kappa statistics values above 0.7 (p-value <0.001).

CONCLUSION

We propose incorporating simple and objective SIPAP classification in routine MR reporting for ideal pituitary tumour delineation, relationship to juxtasellar structures and tumour size, hence facilitating greater success rate in surgical and subsequent clinical management.

摘要

背景

磁共振成像(MRI)被视为诊断垂体大腺瘤的首选方式。由于手术是所有垂体腺瘤的一线治疗方法,基于肿瘤生长主要方向的简单且可重复的MRI分类是一项重要工具。垂体腺瘤的SIPAP MRI分类描述了肿瘤在鞍旁、鞍上、鞍下、前方和后方的扩展情况。因此,我们评估了SIPAP分类在垂体腺瘤报告中的可重复性。

方法

49例经活检证实为垂体大腺瘤的患者根据SIPAP分类进行分级。使用Stata 15版本分析数据。观察者间的变异性使用Cohen's Kappa计算。治疗前后分级的比较采用卡方检验。P值<0.05被认为具有统计学意义。

结果

根据SIPAP,术前和术后分级的个体肿瘤扩展情况显示出显著差异(p值<0.001),除了前方扩展。对于鞍上扩展,67.3%的患者术前为3级,63.3%的患者术后为0级。对于鞍下扩展,51.0%的患者术前为2级,71.4%的患者术后为0级。与术前相比,术后阶段的前方、后方和鞍旁扩展在0级的频率增加。对于上、下、前和后范围,观察者间达成了实质性一致,所有Kappa统计值均高于0.7(p值<0.001)。

结论

我们建议在常规MR报告中纳入简单客观的SIPAP分类,以实现理想的垂体肿瘤描绘、与鞍旁结构的关系及肿瘤大小评估,从而提高手术及后续临床管理的成功率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bae2/10033953/6c4589da4c5b/gr1.jpg

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