Is it time to incorporate fludeoxyglucose PET/CT markers into sarcoma prediction models?
医学
肉瘤
核医学
放射科
病理
作者
Rajan Rakheja,Stephan Probst
出处
期刊:Imaging in Medicine [International Research Journals (OMICS)] 日期:2013-08-01卷期号:5 (4): 295-297被引量:1
标识
DOI:10.2217/iim.13.33
摘要
Sarcomas are relatively rare primary malignan cies that originate from the embryonic meso derm and are responsible for less than 1% of adult cancers, but comprise approximately 6% of childhood malignancies [1]. Despite aggres sive therapy, including surgery, adjuvant chemo therapy and radiotherapy, sarcoma patients’ prognosis remains guarded and overall survival has not improved substantially over the past few decades; 40% of patients with highgrade lesions will die from metastatic disease [1]. At initial histopathologic diagnosis, sarcoma grading is a fundamental step in patient evalua tion and plays a prominent role in overall stag ing. As recognized by WHO, there are two principle grading systems – the National Cancer Institute and the French Federation of Cancer Centers Sarcoma Group (FNCLCC) [2]. The more widelyused FNCLCC grade is based on three parameters: tumor differentiation, mitotic activity and necrosis. Each of these parameters receives a score: differentiation (1–3), mitotic activity (1–3) and necrosis (0–2). The sum of the scores generates a grade: grade 1 is a score of 2–3, grade 2 is 4–5 and grade 3 is 6–8. Sarcomas are extremely heterogeneous tumors, which often contain highgrade components, in addition to lowergrade areas. Frequently, sarcomas show intraturmoral necrosis, further complicating histopathological assessment. As a result of this heterogeneity, difficulty arises in accurately grading sarcomas as the assessment becomes dependent on which part of the sarcoma was biopsied and/or selected for histologic exam ination by the pathologist. Significant patholo gist interobserver variability exists when deter mining the histological sarcoma type, presence of necrosis and quantifying mitotic activity [3]. Given the importance of accurately determining tumor grade – and subsequently prognosis and