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依据CT总碘摄取量预测胃癌新辅助化疗的反应
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  • 英文篇名:Total iodine uptake in CT for predicting results of neoadjuvant chemotherapy in gastric cancer
  • 作者:张阳 ; 张欢 ; 丁蓓 ; 袁菲 ; 马乾辰 ; 王柏松 ; 严福华 ; 杜联军
  • 英文作者:ZHANG Yang;ZHANG Huan;DING Bei;YUAN Fei;MA Qianchen;WANG Baisong;YAN Fuhua;DU Lianjun;Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine;Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine;Department of Biological Statistics, Shanghai Jiao Tong University School of Medicine;
  • 关键词:胃癌 ; 新辅助化疗 ; 总碘摄取量 ; 病理退缩 ; 无进展生存期
  • 英文关键词:Gastric cancer;;Neoadjuvant chemotherapy;;Total iodine uptake;;Pathologic regression;;Progression-free survival
  • 中文刊名:WKLL
  • 英文刊名:Journal of Surgery Concepts & Practice
  • 机构:上海交通大学医学院附属瑞金医院放射科;上海交通大学医学院附属瑞金医院病理科;上海交通大学医学院生物统计学教研室;
  • 出版日期:2019-01-25
  • 出版单位:外科理论与实践
  • 年:2019
  • 期:v.24
  • 基金:国家自然科学基金(81771789,U1532107);; 上海市科学技术委员会项目(18411953000)
  • 语种:中文;
  • 页:WKLL201901009
  • 页数:7
  • CN:01
  • ISSN:31-1758/R
  • 分类号:38-44
摘要
目的:前瞻性评估双能量CT(dual-energy computed tomography, DECT)中的总碘摄取(total iodine uptake,TIU)在预测胃癌病人新辅助化疗疗效和无进展生存期(progression-free survival, PFS)的应用价值。方法:收集我院44例化疗前、后均行DECT扫描的局部进展期胃癌病人。计算肿瘤面积(%ΔS),直径(%ΔD)和密度(%ΔHU)的变化率来评估WHO、RESCIST和Choi标准。同时计算肿瘤体积(%ΔV)和门静脉期TIU的变化率(%ΔTIU-p)来评估ROC曲线下的界值。统计学分析不同标准与组织病理退缩分级(Becker)或PFS间的关系。结果:分别根据ΔV(43.34%,P=0.002)和ΔTIU-p(63.87%,P=0.002)的界值将病人分为反应组和非反应组。%ΔTIU-p标准与Becker间显示较强的相关性(r=0.602,P<0.001),%ΔV显示中等相关(r=0.416, P=0.005),而WHO(r=0.075, P=0.627), RECIST(r=0.270, P=0.077)和Choi标准(r=0.238, P=0.120)与Becker间无相关性。%ΔTIU-p(P=0.001)和Choi标准(P=0.013)的反应组和非反应组PFS间差异具有统计学意义。结论:TIU-p可预测进展期胃癌病人新辅助化疗后病理退缩。%ΔTIU-p分析新辅助化疗后的PFS有一定意义。
        Objective To evaluate prospectively the total iodine uptake(TIU) from dual-energy computed tomography(DECT) in predicting treatment efficacy and progression-free survival(PFS) time in the patients with gastric cancers after neoadjuvant chemotherapy(NAC). Methods Forty-four patients with locally advanced gastric cancer were given DECT before and after NAC. Changes in percentage of tumor area(%ΔS), diameter(%ΔD), and density(%ΔHU) were calculated to evaluate the WHO, RESCIST, and Choi criteria. Changes in percentage of tumor volume(%ΔV) and TIU in portal phase(%ΔTIU-p) were also calculated to determine cut-off points by ROC curves. Correlations between criteria and histomorphologic tumor regression grade(Becker) and between criteria and PFS were analyzed. Results Patients were divided into responders group and non-responders group by ΔV(43.34%, P=0.002) and by ΔTIU-p(63.87%, P=0.002), respectively.Higher correlation was present between criteria %ΔTIU-p and Becker grade(r=0.602, P<0.001) and moderate correlation between criteria %ΔV and Becker grade(r=0.416, P=0.005), while no correlation between Becker grade and WHO criteria(r=0.075, P=0.627), RECIST criteria(r=0.270, P=0.077) and Choi criteria(r=0.238, P=0.120). There were statistical differences significantly in PFS time of the patients between responder group and non-responder group when using criteria%ΔTIU-p(P=0.001) or Choi criteria(P=0.013). Conclusions TIU-p could be used to predict pathological regression in patients with advanced gastric cancer after NAC. Criteria % ΔTIU-p would become the parameter to study PFS time after NAC.
引文
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