Brighton & Sussex Medical School, Brighton BN1 9PX, UK.
Cancer Imaging. 2011 Oct 3;11 Spec No A(1A):S86-92. doi: 10.1102/1470-7330.2011.9022.
Survival, quality-adjusted survival and mortality are important and related measures of outcome in cancer care. The impact of imaging on these outcomes can be ascertained from observational and modelling studies, frequently performed to evaluate cost-effectiveness. Examples where incorporation of imaging into cancer care can be shown to improve survival include breast cancer screening, characterization of solitary pulmonary nodules, staging of non-small cell lung cancer, treatment response assessment in Hodgkin lymphoma, postoperative surveillance of colorectal cancer and selective internal radiation therapy of colorectal liver metastases. Modelling suggests the greatest opportunities for improvements in survival through imaging detection of cancer may lie in the investigation of mildly symptomatic patients. For applications where the improvements in survival are more modest, use of imaging frequently has additional demonstrable benefits including reductions in health care expenditure.
生存、调整后生存质量和死亡率是癌症治疗中重要且相关的预后指标。影像学对这些结果的影响可以通过观察性和建模研究来确定,这些研究通常用于评估成本效益。将影像学纳入癌症治疗可以提高生存率的例子包括乳腺癌筛查、孤立性肺结节的特征描述、非小细胞肺癌分期、霍奇金淋巴瘤的治疗反应评估、结直肠癌术后监测和结直肠肝转移的选择性内放射治疗。建模表明,通过影像学检测癌症来提高生存率的最大机会可能在于对轻度症状患者的研究。对于生存获益改善程度较小的应用,影像学的使用通常具有其他可证明的益处,包括减少医疗支出。