Correlation between percutaneous biopsy and final histopathology for retroperitoneal sarcoma: a single-centre study.

ANZ JOURNAL OF SURGERY(2020)

引用 14|浏览23
暂无评分
摘要
Background Retroperitoneal sarcomas are rare soft tissue tumours accounting for 10-15% of soft tissue sarcomas. Patient prognosis and treatment recommendations (including extent of surgery and neoadjuvant strategies) are determined by the pre-operative histopathological subtype and grade obtained from biopsy and thus it is important to understand the accuracy of biopsy in retroperitoneal masses. Methods This study presents a case series of primary retroperitoneal sarcomas managed at Peter MacCallum Cancer Centre (PMCC) between 2008 and 2019. Statistical analyses were performed to determine correlation between histopathology from percutaneous biopsy and surgical excision. Results A total of 117 patients who underwent percutaneous core biopsy and surgical excision of retroperitoneal sarcoma were included. Diagnostic accuracy varied with histopathological diagnosis, but overall precise concordance between biopsy and final histopathology was seen in 61% (kappa = 0.57). Biopsy was most sensitive for identifying well-differentiated liposarcoma (WDLPS) (sensitivity 85%, 95% CI 0.06-0.96) and leiomyosarcoma (sensitivity 81%, 95% CI 0.54-0.96) and was least sensitive for identifying de-differentiated liposarcoma (DDLPS) (sensitivity 40%, 95% CI 0.25-0.56). Overall agreement between biopsy and final histopathology increased with use of PET/CT scan pre-biopsy and with use of fluorescence in situ hybridisation testing on biopsy, however, neither test improved recognition of de-differentiated components within WD/DDLPS on core biopsy. Conclusions Pre-operative biopsy is important for clinical decision making in the treatment of retroperitoneal sarcoma. A significant portion of patients with a WDLPS will have a de-differentiated component identified at the time of resection that was not identified on initial biopsy.
更多
查看译文
关键词
percutaneous biopsy,retroperitoneal,sarcoma,surgical oncology
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要