Lai Jian-Han, Lee Keng-Han, Chang Chen-Wang, Chen Ming-Jen, Lin Ching-Chung
Division of Gastroenterology, Department of Internal Medicine, MacKay Memorial Hospital, Taipei 10449, Taiwan.
Department of Nursing, MacKay Medicine, Nursing and Management College, Taipei 11260, Taiwan.
Diagnostics (Basel). 2022 Apr 15;12(4):1004. doi: 10.3390/diagnostics12041004.
Diagnosing pancreatic malignancy is challenging, especially in patients with chronic pancreatitis (CP). Endoscopic ultrasonography (EUS) is a promising diagnostic procedure for discriminating between malignancy and CP. We aimed to investigate the predictive factors and reliability of computed tomography (CT) and EUS for differentiating pancreatic mass lesions and the diagnostic accuracy of EUS-FNA or FNB in patients with CP. Forty patients with CP, receiving CT and EUS-FNA or FNB for pancreatic mass lesion evaluation, were enrolled in the study. Patients’ data, CT and EUS characteristics, image-based diagnosis, cytopathology, and final diagnosis were recorded. EUS was superior to CT in terms of diagnostic accuracy (92.5% vs. 82.5%, p = 0.02). Both CT and EUS showed significant predictive factors (all p < 0.05) with the tumor image hypoattenuation pattern or vessel invasion on CT and pancreatic duct dilatation, or distal pancreatic atrophy on EUS. EUS imaging is a reliable modality for evaluating pancreatic lesions, even with a CP background. The EUS image has a higher diagnostic accuracy than CT. Predicting factors, including hypoechoic pattern, pancreatic duct dilatation, and distal pancreas atrophy, may help to differentiate benign or malignant in patients with CP.
诊断胰腺恶性肿瘤具有挑战性,尤其是在慢性胰腺炎(CP)患者中。内镜超声检查(EUS)是一种很有前景的用于鉴别恶性肿瘤与CP的诊断方法。我们旨在研究计算机断层扫描(CT)和EUS在鉴别胰腺肿块性病变方面的预测因素和可靠性,以及EUS细针穿刺抽吸活检(EUS-FNA)或细针活检(FNB)对CP患者的诊断准确性。40例因胰腺肿块性病变评估而接受CT及EUS-FNA或FNB检查的CP患者被纳入本研究。记录患者数据、CT和EUS特征、基于图像的诊断、细胞病理学及最终诊断。在诊断准确性方面,EUS优于CT(92.5%对82.5%,p = 0.02)。CT和EUS均显示出显著的预测因素(所有p < 0.05),CT表现为肿瘤图像低密度模式或血管侵犯,EUS表现为胰管扩张或胰腺远端萎缩。即使在CP背景下,EUS成像也是评估胰腺病变的可靠方式。EUS图像的诊断准确性高于CT。包括低回声模式、胰管扩张和胰腺远端萎缩在内的预测因素可能有助于鉴别CP患者的良性或恶性病变。