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Effectiveness of Multivariate Analysis of Tumor Markers in Diagnosis of Pancreatic Carcinoma

1994; Lippincott Williams & Wilkins; Volume: 9; Issue: 6 Linguagem: Inglês

10.1097/00006676-199411000-00009

1536-4828

Nobuyoshi Kuno, Kumiko Kurimoto, Masanori Fukushima, Tetsuo Hayakawa, Tokimune Shibata, Toshiyuki Suzuki, Akira Sakakibara, Naoyuki Katada, Satoshi Nakano, Tetsuo Takayama, Aiji Noda, Yukio Iinuma, Yuji Horiguchi, Toshihito Furukawa,

Pancreatitis Pathology and Treatment

In 403 patients suspected of having pancreatic cancer, we prospectively studied a combination assay of various serum tumor markers: CA19-9, DUPAN2, tissue polypeptide antigen, elastase 1, γ-glutamyltranspepti-dase, lactate dehydrogenase, lipase, amylase, and alkaline phosphatase. The diagnostic value of each marker was compared with a multivariate analysis (computer-aided multivariate and pattern analysis system for pancreatic cancer examine-1: CAMPAS-PX1). Pancreatic cancer was subsequently identified in 47 patients. CAM-PAS-PX1 had higher negative in health and positive predictability than those of each marker used alone in the diagnosis of pancreatic cancer. CAMPAS-PX1 proved the most effective marker for diagnosing pancreatic cancer, but in terms of its codbenefit ration CAMPAS-PX1 was not superior to CA19-9 used alone. In this prospective trial, we experienced poor generalizability in the statistical models (CAMPAS-PX1). We believe that selection bias was present in samples used for model building. Based on this study a new model has been designed.