Gökoğlu Abdulkerim, Yiğit Hüseyin, Yolaçan Ebru, Nisari Mehtap, Unur Erdoğan, Selçuklu Ahmet
Department of Neurosurgery, Dünyam Hospital, Kayseri, Türkiye.
Vocational Health School, Cappadocia University, Nevşehir, Türkiye.
Front Neurol. 2025 Sep 10;16:1585921. doi: 10.3389/fneur.2025.1585921. eCollection 2025.
Pituitary Neuroendocrine Tumors (PitNETs) can cause symptoms via mass effect or hormonal imbalances. This study investigated whether PitNETs induce volumetric changes in intracranial structures and assessed the diagnostic potential of these changes.
A retrospective analysis was conducted on 90 PitNET patients and 86 healthy controls. MRI data, acquired on a 1.5 Tesla scanner, were processed using the automated Vol2Brain system to calculate relative brain volumes.
PitNET patients exhibited significantly lower relative volumes across numerous brain structures compared to controls. This included reduced intracranial, cerebral, and cortical gray matter (GM), as well as temporal lobe, vermis, limbic lobe, hippocampus, and inferior lateral ventricle (ILV) volumes. Gyrus-level analysis also revealed significantly smaller volumes in key regions like the posterior orbital gyrus, supplementary motor cortex, and entorhinal area in PitNET patients. ROC analysis demonstrated good to very good diagnostic performance for ILV volume (AUC = 0.863; = 0.002) and subcortical GM volume (AUC = 0.725; = 0.049) in differentiating groups. Reduced volumes were also noted in basal ganglia structures.
Our findings indicate significant volumetric reductions in various brain regions in PitNET patients, potentially explaining observed emotional and cognitive symptoms. The diagnostic utility of ILV and subcortical GM volumes is promising, suggesting their value as diagnostic adjuncts. These objective volumetric assessments may assist in surgical planning and patient stratification, though further prospective research is warranted to establish direct links with clinical outcomes.
垂体神经内分泌肿瘤(PitNETs)可通过占位效应或激素失衡引起症状。本研究调查了PitNETs是否会引起颅内结构的体积变化,并评估了这些变化的诊断潜力。
对90例PitNET患者和86名健康对照者进行回顾性分析。使用1.5特斯拉扫描仪获取的MRI数据,通过自动化Vol2Brain系统进行处理,以计算相对脑容量。
与对照组相比,PitNET患者在众多脑结构中的相对体积显著降低。这包括颅内、脑和皮质灰质(GM)减少,以及颞叶、蚓部、边缘叶、海马和下外侧脑室(ILV)体积减小。脑回水平分析还显示,PitNET患者关键区域如眶后回、辅助运动皮层和内嗅区的体积明显更小。ROC分析表明,ILV体积(AUC = 0.863;P = 0.002)和皮质下GM体积(AUC = 0.725;P = 0.049)在区分两组时具有良好到非常好的诊断性能。基底神经节结构的体积也有所减少。
我们的研究结果表明,PitNET患者的多个脑区体积显著减小,这可能解释了观察到的情绪和认知症状。ILV和皮质下GM体积的诊断效用很有前景,表明它们作为诊断辅助手段的价值。这些客观的体积评估可能有助于手术规划和患者分层,不过需要进一步的前瞻性研究来建立与临床结果的直接联系。