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Dynamic computed tomography is useful for prediction of pathological grade in pancreatic neuroendocrine neoplasm

机译:动态计算断层扫描可用于预测胰腺神经内分泌肿瘤的病理分级

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Background and Aim Pathological grading is important in defining the therapeutic strategy in pancreatic neuroendocrine neoplasm (PNEN) but is difficult for unresectable cases. Endoscopic ultrasound (EUS)-guided fine needle aspiration (FNA) is useful in the diagnosis of PNEN, but its usefulness for pathological grading is not well established. No studies have examined the diagnostic ability of dynamic computed tomography (CT) for pathological grading of PNEN. We investigated the usefulness of EUS-FNA and dynamic CT in the diagnosis and pathological grading of PNEN.
机译:背景和AIM病理分级对于定义胰腺神经内分泌肿瘤(PNEN)的治疗策略很重要,但对于不可切除的情况难以。 内窥镜超声(EUS) - 导向细针抽吸(FNA)可用于诊断PNEN,但其对病理分级的用途并不确定。 没有研究检测了动态计算断层扫描(CT)对PNEN病理分级的诊断能力。 我们调查了eUS-FNA和动态CT在PNEN的诊断和病理分级中的有用性。

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