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本文引用的文献

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CT tumor volume measurement in advanced non-small-cell lung cancer: Performance characteristics of an emerging clinical tool.在晚期非小细胞肺癌中进行 CT 肿瘤体积测量:新兴临床工具的性能特征。
Acad Radiol. 2011 Jan;18(1):54-62. doi: 10.1016/j.acra.2010.08.021. Epub 2010 Oct 30.
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Cancer statistics, 2010.癌症统计数据,2010 年。
CA Cancer J Clin. 2010 Sep-Oct;60(5):277-300. doi: 10.3322/caac.20073. Epub 2010 Jul 7.
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Improved survival with ipilimumab in patients with metastatic melanoma.Ipilimumab 改善转移性黑色素瘤患者的生存。
N Engl J Med. 2010 Aug 19;363(8):711-23. doi: 10.1056/NEJMoa1003466. Epub 2010 Jun 5.
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Assessment of therapy responses and prediction of survival in malignant pleural mesothelioma through computer-aided volumetric measurement on computed tomography scans.通过计算机断层扫描的计算机辅助容积测量评估恶性胸膜间皮瘤的治疗反应和预测生存。
J Thorac Oncol. 2010 Jun;5(6):879-84. doi: 10.1097/JTO.0b013e3181dd0ef1.
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Quantitative methodology using CT for predicting survival in patients with metastatic colorectal carcinoma: a pilot study.使用 CT 进行定量分析预测转移性结直肠癌患者生存情况的方法:一项初步研究。
Clin Imaging. 2010 May-Jun;34(3):196-202. doi: 10.1016/j.clinimag.2010.01.002.
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Final version of 2009 AJCC melanoma staging and classification.2009 年 AJCC 黑色素瘤分期与分类的最终版。
J Clin Oncol. 2009 Dec 20;27(36):6199-206. doi: 10.1200/JCO.2009.23.4799. Epub 2009 Nov 16.
7
Semiquantitative visual approach to scoring lung cancer treatment response using computed tomography: a pilot study.使用计算机断层扫描对肺癌治疗反应进行半定量视觉评分的初步研究。
J Comput Assist Tomogr. 2009 Sep-Oct;33(5):743-7. doi: 10.1097/RCT.0b013e3181963b14.
8
Imaging of tumor angiogenesis: functional or targeted?肿瘤血管生成的成像:功能性成像还是靶向成像?
AJR Am J Roentgenol. 2009 Aug;193(2):304-13. doi: 10.2214/AJR.09.2869.
9
New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).实体瘤新的疗效评价标准:修订的RECIST指南(第1.1版)
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10
Biomarkers in abdominal imaging.腹部影像学中的生物标志物。
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使用计算机断层扫描对转移性黑色素瘤患者治疗反应进行量化视觉评分:改进当前标准。

Quantified visual scoring of metastatic melanoma patient treatment response using computed tomography: improving on the current standard.

机构信息

Department of Radiology, University of Arizona, Tucson, AZ 85719, USA.

出版信息

J Digit Imaging. 2012 Apr;25(2):258-65. doi: 10.1007/s10278-011-9407-9.

DOI:10.1007/s10278-011-9407-9
PMID:21785917
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3295970/
Abstract

To assess whether quantitative visual scoring (QVS) is a better early predictor of progression-free survival (PFS) in patients on chemotherapy for metastatic melanoma using CT than the currently used Response Evaluation Criteria in Solid Tumors (RECIST) standard. Retrospective evaluation of 65 consecutive patients with metastatic melanoma on treatment who had a baseline and follow-up CT after two cycles of therapy. QVS was used to code imaging findings on the radiology reports considering size change, brain metastases, new lesions, mixed lesion response, and the number of organ systems involved. RECIST 1.1 criteria placed patients in the progressive disease, stable disease, or partial response groups. Multiple regression analysis was used to correlate the various independent variables with PFS. The Cox hazard proportions ratio, median survival, and Kaplan-Meier curves of the different prognostic groups were calculated. QVS of size change was found more sensitive in detecting patients deteriorating (57.1% versus 37.5%) or improving (23.8% versus 10.7%), more correlated with the median PFS for the deteriorating (1.8 versus 1.7 months), stable (5.6 versus 4.0 month), and improving (8.3 versus 5.5 months) categories and more predictive of PFS (Cox hazard proportion ratio of 3.070 versus 1.860) than RECIST 1.1 categorization. Multiple regression analysis demonstrated QVS of lesion size correlated most closely with PFS among the variables assessed (r = 0.519, p < 0.0001). QVS in this study was superior to standard RECIST categorization in terms of discriminating treated metastatic melanoma patients likely to have longer PFS.

摘要

评估在使用 CT 对接受转移性黑色素瘤化疗的患者进行治疗时,定量视觉评分(QVS)是否比目前使用的实体瘤反应评估标准(RECIST)更能早期预测无进展生存期(PFS)。对 65 例接受治疗的转移性黑色素瘤连续患者进行回顾性评估,这些患者在治疗 2 个周期后基线和随访时有 CT。QVS 用于根据大小变化、脑转移、新病变、混合病变反应和受累器官系统数量对放射学报告中的影像学发现进行编码。RECIST 1.1 标准将患者分为进展性疾病、稳定疾病或部分反应组。使用多元回归分析将各种独立变量与 PFS 相关联。计算不同预后组的 Cox 风险比例、中位生存期和 Kaplan-Meier 曲线。大小变化的 QVS 更能敏感地检测到病情恶化(57.1%比 37.5%)或改善(23.8%比 10.7%)的患者,与恶化(1.8 比 1.7 个月)、稳定(5.6 比 4.0 个月)和改善(8.3 比 5.5 个月)类别的中位 PFS 相关性更高,并且更能预测 PFS(Cox 风险比例比为 3.070 比 1.860)比 RECIST 1.1 分类。多元回归分析表明,在评估的变量中,病变大小的 QVS 与 PFS 相关性最密切(r=0.519,p<0.0001)。在这项研究中,QVS 在区分可能具有更长 PFS 的转移性黑色素瘤治疗患者方面优于标准 RECIST 分类。