Department of Radiology and Medical Imaging, University of Virginia Health System, PO Box 800170, Charlottesville, VA 22908-0170, USA.
Department of Neurology, University of Virginia Health System, PO Box 800432, Charlottesville, VA 22908-0170, USA.
Radiol Clin North Am. 2021 May;59(3):457-470. doi: 10.1016/j.rcl.2021.02.003. Epub 2021 Mar 23.
Nonneoplastic entities may closely resemble the imaging findings of primary or metastatic intracranial neoplasia, posing diagnostic challenges for the referring provider and radiologist. Prospective identification of brain tumor mimics is an opportunity for the radiologist to add value to patient care by decreasing time to diagnosis and avoiding unnecessary surgical procedures and medical therapies, but requires familiarity with mimic entities and a high degree of suspicion on the part of the interpreting radiologist. This article provides a framework for the radiologist to identify "brain tumor mimics," highlighting imaging and laboratory pearls and pitfalls, and illustrating unique and frequently encountered lesions.
非肿瘤性病变在影像学上可能与颅内原发性或转移性肿瘤极为相似,这为放射科医生和转诊医生的诊断带来了挑战。放射科医生若能前瞻性地识别出脑瘤的类似病变,就有机会通过缩短诊断时间、避免不必要的手术和药物治疗,为患者提供更好的医疗服务,这就需要放射科医生熟悉类似病变,并提高对其的警惕性。本文为放射科医生提供了一个识别“脑瘤类似病变”的框架,重点介绍了影像学和实验室的要点和陷阱,并展示了一些独特且常见的病变。