Differentiating early-stage pancreatic cancer from benign masses: the diagnostic superiority of immuno-nutritional indices

医学 恶性肿瘤 胰腺癌 逻辑回归 内科学 接收机工作特性 胰腺导管腺癌 多元分析 CA19-9号 腺癌 回顾性队列研究 胃肠病学 肿瘤科 放射科 癌症 试验预测值 多元统计 鉴别诊断 外科切除术 外科 诊断准确性 胰腺癌 体质指数 统计显著性 补语(音乐) 病理 切除术 临床意义 曲线下面积
作者
Oğuzhan Aydın,Yusuf Yunus Korkmaz,Feyyaz Güngör,İlyas Kudaş,Halil Alper Bozkurt,Erdem Kınacı
出处
期刊:BMC Surgery [BioMed Central]
标识
DOI:10.1186/s12893-026-04153-y
摘要

The accurate preoperative differentiation of early-stage pancreatic ductal adenocarcinoma (PDAC) from benign/premalignant masses remains a clinical challenge. This study aimed to evaluate the diagnostic value of systemic immuno-nutritional indices (CALLY, PNI, NLR, PLR, CAR) in predicting early-stage PDAC by excluding the statistical bias created by advanced-stage tumor burden. A retrospective analysis was conducted on 75 patients who underwent surgical resection for a pancreatic mass between September 2020 and February 2026. Patients were divided into an early-stage (Stage 1 and 2 A) malignant group ( n = 21) and a benign/premalignant group ( n = 54). The diagnostic performance of indices calculated from routine preoperative blood tests was evaluated using ROC curve and multivariate logistic regression analyses. In the malignant group, NLR ( p = 0.010) and PLR ( p = 0.007) were significantly higher, whereas PNI ( p = 0.001) and CALLY ( p = 0.011) indices were significantly lower compared to the benign group. ROC analysis revealed that PNI had the highest diagnostic accuracy for predicting early-stage malignancy (AUC: 0.757), followed by PLR (AUC: 0.700), NLR (AUC: 0.691), and CALLY (AUC: 0.690). In multivariate logistic regression models, PNI (OR: 0.870), CALLY (OR: 0.360), NLR (OR: 2.204), and PLR emerged as independent predictors of malignancy, outperforming the standard tumor marker CA 19 − 9. Cost-effective and non-invasive immuno-nutritional indices, particularly PNI and CALLY, are promising independent predictors with high diagnostic value that may complement traditional clinical evaluation in differentiating early-stage pancreatic masses from benign lesions.
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