基于解剖学界限的垂体腺瘤鼻内窥镜切除预测模型

Carlos Martorell-Llobregat , Javier Abarca-Olivas , Pablo González-López , José Sánchez-Payá , Antonio Picó-Alfonso , Pedro Moreno-López
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摘要

引言本项目的目的是研究从术前放射学图像中获得的垂体腺瘤的几种解剖放射学特征,并分析它们与鼻内窥镜入路切除范围的关系。第二个目标是建立切除范围的预测模型。材料与方法我们对105例患者进行了回顾性评价。分析了肿瘤体积、Knosp分级、鞍上膈系数和后室侵犯情况。通过分析术后磁共振来评估切除范围。我们使用统计独立变量创建了预测量表。结果当对每一个变量进行单独研究时,所有变量的统计学显著值都可以获得完全切除。然而,只有Knosp分级和鞍上膈肌系数作为自变量具有统计学意义。从Knosp量表获得的比值比与鞍上膈系数之和给出了完全切除的概率。采用了一组新的案例来验证量表。结论经小脑内窥镜垂体腺瘤手术中,海绵窦侵犯和新设计的鞍上膈肌系数与切除范围直接相关。此外,基于这两个放射学因素,预测量表可以预测一系列患者完全切除的概率。
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Predictive model of resection in endoscopic endonasal approach for pituitary adenomas based on anatomical limits

Introduction

The aim of this project is to study several anatomical-radiological features of pituitary adenomas obtained from preoperative radiological images and to analyze their relationship with the extent of resection achieved through the endoscopic endonasal approach. The second objective was to create a prediction model of the extent of resection.

Material and methods

We retrospectively evaluated 105 patients. Tumor volume, Knosp grade, suprasellar-diaphragm coefficient and invasion of the posterior compartment have been analyzed. The extent of resection was assessed by analyzing the postoperative magnetic resonance. We created the predictive scale using statistically independent variables.

Results

When each of the variables has been studied individually, a statistically significant value of all of them is appreciated to obtain a complete resection. However, only the Knosp grade and the suprasellar-diaphragm coefficient had a statistically significant value as independent variables. The sum of the Odds Ratio obtained from the Knosp scale, and the suprasellar-diaphragm coefficient gives the probability of complete resection. A new set of cases was employed to validate the scale.

Conclusions

The cavernous sinus invasion and the newly designed suprasellar diaphragm coefficient are directly related to the extent of resection in pituitary adenoma surgery performed by a transellar endoscopic approach. Moreover, based on both radiologic factors, a predictive scale may predict the probability of complete resection in a series of patients.

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