Department of Otorhinolaryngology/Head and Neck Surgery, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Otol Neurotol. 2012 Apr;33(3):450-4. doi: 10.1097/MAO.0b013e318245ccbf.
Treatment outcomes for carcinomas of the external auditory canal (EAC) were evaluated regarding radiologic and pathologic factors.
Retrospective case review.
University hospital.
Fifteen patients histologically diagnosed with carcinomas of the EAC.
A radiologic and pathologic analysis was performed on these patients histologically diagnosed with carcinomas of the EAC and treated surgically at our institution. We evaluated the size of focal defects in the anteroinferior (AI) canal wall of the tympanic bone with preoperative computed tomographic (CT) scans. Histopathologic slides for the same patients were evaluated according to the same criteria as the CT scans.
Pathologic features and estimated survival rate.
Preoperative CT scans of 15 temporal bones demonstrated an AI canal wall defect ranging from less than 1 mm to full-thickness destruction. Six of 15 patients had an AI canal wall defect greater than 2 mm on preoperative CT scan. Pathologic findings in these 6 cases showed extension of the tumor through the AI defect into the anterior soft tissues. Information on patients' survival status was obtained after a median follow-up period of 78.3 months (range, 18-151 mo).
Preoperative CT can be used to accurately determine the pathologic extent of tumor invasion in carcinomas of the EAC. This diagnostic method facilitates exchange of accurate clinical data in a comparable form and can be used to evaluate the efficacy of existing and proposed treatments for EAC tumors.
评估外耳道癌(EAC)的治疗结果与放射学和病理学因素的关系。
回顾性病例研究。
大学医院。
15 名经组织学诊断为 EAC 癌的患者。
对在我院接受手术治疗的经组织学诊断为 EAC 癌的患者进行放射学和病理学分析。我们评估了术前 CT 扫描中耳鼓膜前下(AI)管壁局灶性缺损的大小。对同一患者的组织病理学切片进行了评估,评估标准与 CT 扫描相同。
病理特征和估计生存率。
15 例颞骨的术前 CT 扫描显示 AI 管壁缺损范围从小于 1mm 到全层破坏。15 例患者中有 6 例术前 CT 扫描 AI 管壁缺损大于 2mm。这 6 例的病理发现显示肿瘤通过 AI 缺损向前方软组织延伸。在中位数为 78.3 个月(范围为 18-151 个月)的随访后获得了患者生存状况的信息。
术前 CT 可用于准确确定 EAC 癌肿瘤侵袭的病理范围。这种诊断方法有助于以可比较的形式交换准确的临床数据,并可用于评估现有的和拟议的 EAC 肿瘤治疗方法的疗效。