Hernández-Echevarría Odelaisys, Cuétara-Lugo Elizabeth Bárbara, Pérez-Benítez Mario Jesús, Galán-García Lídice, Piloto-Diaz Ibrain, Fernández Eduardo
Institute of Bioengineering, Universidad Miguel Hernández, 03202 Elche, Spain.
Cuban Institute of Ophthalmology "Ramón Pando Ferrer", University of Medical Sciences of Havana, Havana 10400, Cuba.
J Clin Med. 2025 Jun 26;14(13):4542. doi: 10.3390/jcm14134542.
: To elucidate the influence of eye selection criteria (ESC) on the reliability of biomarkers in diagnosis and prediction using pre-surgical parameters, assessments were undertaken as the subject of analysis. : Pituitary macroadenoma (PMA) diagnosis and postsurgical visual function recovery biomarker analysis was used as the subject to illustrate the point. Six datasets (right, left, best, worst, random and both eyes), derived from a longitudinal study that involved 42 PMA patients and age-matched healthy volunteers, were generated. A comparison of the diagnostic efficacies of the amplitude of pattern visual evoked potentials (pVEP) and bi-nasal sector thickness in the ganglion cells complex plus the inner plexiform layer was performed using ESC. Afterwards, multivariate models for PMA diagnosis and the prediction of postsurgical visual function recovery, using Stable Sparse Biomarkers Detection methodology, were developed. A comprehensive evaluation was performed once for controls and in pre-surgical PMA patients at 3 and 12 months after transsphenoidal tumor removal. : The proposed biomarkers displayed specificity and sensibility ≥ 0.74 and AUC ≥ 0.87. The diagnostic values derived were ESC-dependent. All the prediction models had accuracies over 0.96, and the proposed biomarkers had stability ≥ 99% and the highest β values. : Although the diagnostic values of the proposed biomarkers are affected by ESC, they exhibit equal accuracy for the same eye. Worse eye data represent the best choice for the analysis. Further studies are needed to validate the models for use in the prediction of the 12-month postsurgical restoration of parvocellular traffic.
为了阐明眼睛选择标准（ESC）对使用术前参数进行诊断和预测的生物标志物可靠性的影响，我们将评估作为分析对象。以垂体大腺瘤（PMA）诊断和术后视觉功能恢复生物标志物分析为例来说明这一点。我们从一项涉及42例PMA患者和年龄匹配的健康志愿者的纵向研究中生成了六个数据集（右眼、左眼、最佳眼、最差眼、随机眼和双眼）。使用ESC对图形视觉诱发电位（pVEP）的振幅和神经节细胞复合体加内丛状层的双鼻侧扇形厚度的诊断效能进行了比较。之后，使用稳定稀疏生物标志物检测方法开发了用于PMA诊断和术后视觉功能恢复预测的多变量模型。在对照组以及经蝶窦肿瘤切除术后3个月和12个月的术前PMA患者中进行了一次全面评估。所提出的生物标志物显示出特异性和敏感性≥0.74，曲线下面积（AUC）≥0.87。得出的诊断值依赖于ESC。所有预测模型的准确率均超过0.96，所提出的生物标志物稳定性≥99%且β值最高。尽管所提出的生物标志物的诊断值受ESC影响，但它们对同一只眼睛具有相同的准确性。最差眼的数据是分析的最佳选择。需要进一步研究以验证这些模型用于预测术后12个月小细胞通路恢复的有效性。
