Zhong Jiansheng, Chen Yuyang, Wang Mingyue, Li Jun, Li Ziqi, Li Haixiang, Wei Liangfeng, Wang Shousen
Fujian Medical University, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou 900 Hospital, Fuzhou, China.
Department of Pathology, Fuzhou 900 Hospital, Fuzhou, China.
Sci Rep. 2024 Sep 16;14(1):21607. doi: 10.1038/s41598-024-72944-5.
This paper aims to analyze the risk factors for the recurrence or progression of non-functioning pituitary adenomas (NFPAs) in male patients after transnasal sphenoidal surgery and to develop a predictive model for prognosis. Clinical and follow-up data of 126 male patients with NFPAs treated by transnasal sphenoidal surgery from January 2011 to January 2021 in Fuzhou 900th Hospital were retrospectively analyzed. Lasso regression analysis was used to screen the best predictors, and the predictors were further screened by multivariate logistic regression analysis, and the nomogram prediction model was constructed. The performance of the model was verified by three aspects: discrimination, calibration and clinical utility by using the consistency index (C-index), receiver operating characteristic curve (ROC), calibration curve, clinical decision curve (DCA) and Clinical impact curve (CIC). Out of 126 cases, 7 (5.56%) showed postoperative tumor recurrence, and 18 (14.29%) exhibited postoperative residual regrowth (progression). Age (P = 0.024), maximum tumor diameter (P < 0.001), modified Knosp grade (P < 0.001), resection extent (P < 0.001), Ki67 (P < 0.001), pressure symptom (P < 0.001), Pre-op hypopituitarism (P = 0.048), Post-op new hypopituitarism (P = 0.017) showed significant differences among the recurrence group, the progression group, and the alleviation group. Three independent risk factors (Ki67, modified Knosp grade, and resection extent) affecting postoperative remission were used to construct a predictive model for long-term postoperative failure to remit. The C-index of the nomogram model was 0.823, suggesting that the model had a high discriminatory power, and the AUC of the area under the ROC curve was 0.9[95% CI (0.843, 0.958)]. A nomogram prediction model based on modified Knosp grading (grades 3B-4), resection extent (partial resection), and Ki-67 (≥ 3%) predicts the recurrence or progression of NFPAs in men after transnasal sphenoidal surgery.
本文旨在分析男性患者经鼻蝶窦手术后无功能垂体腺瘤(NFPAs)复发或进展的危险因素,并建立预后预测模型。回顾性分析了2011年1月至2021年1月在福州900医院接受经鼻蝶窦手术治疗的126例男性NFPAs患者的临床和随访数据。采用Lasso回归分析筛选最佳预测因素,并通过多因素logistic回归分析进一步筛选预测因素,构建列线图预测模型。使用一致性指数(C-index)、受试者工作特征曲线(ROC)、校准曲线、临床决策曲线(DCA)和临床影响曲线(CIC)从区分度、校准度和临床实用性三个方面验证模型性能。126例患者中,7例(5.56%)术后肿瘤复发,18例(14.29%)术后残余肿瘤生长(进展)。年龄(P = 0.024)、肿瘤最大直径(P < 0.001)、改良Knosp分级(P < 0.001)、切除程度(P < 0.001)、Ki67(P < 0.001)、压迫症状(P < 0.001)、术前垂体功能减退(P = 0.048)、术后新发垂体功能减退(P = 0.017)在复发组、进展组和缓解组之间存在显著差异。使用影响术后缓解的三个独立危险因素(Ki67、改良Knosp分级和切除程度)构建术后长期缓解失败的预测模型。列线图模型的C-index为0.823,表明该模型具有较高的区分能力,ROC曲线下面积的AUC为0.9[95%CI(0.843,0.958)]。基于改良Knosp分级(3B - 4级)、切除程度(部分切除)和Ki - 67(≥3%)的列线图预测模型可预测男性经鼻蝶窦手术后NFPAs的复发或进展。