Suppr超能文献

预测伴有淋巴结转移的III期/杜克C期结直肠癌的复发和转移情况。

Predicting recurrence and metastasis of stage III/Dukes' C colorectal cancer with lymph node metastasis.

作者信息

Mukai Masaya, Sato Shinkichi, Kimura Tomomi, Ninomiya Hiromi, Komatsu Nobukazu, Tajima Takayuki, Nakasaki Hisao, Makuuchi Hiroyasu

机构信息

Department of Surgery, Tokai University Oiso Hospital, Oiso, Kanagawa 259-0198, Japan.

出版信息

Oncol Rep. 2004 Dec;12(6):1301-4.

Abstract

This study was designed to compare the prediction of recurrence based on detection of occult neoplastic cells (ONCs) in lymph nodes or using specific criteria to identify patients at high risk of recurrence/metastasis among 105 patients with Dukes' C colorectal cancer. Prediction of recurrence based on the detection of ONCs had a sensitivity of 50.0% (22/44), specificity of 80.3% (49/61), and an accuracy of 65.2%. Prediction of recurrence based on positivity for at least 2 of the 3 high-risk criteria had a sensitivity of 54.5% (24/44), specificity of 83.6% (51/61), and an accuracy of 69.1%. Among the 34 patients with ONCs, prediction of recurrence based on positivity for all 3 high-risk criteria had a sensitivity of 27.3% (6/22), specificity of 91.7% (11/12), an accuracy of 59.5%, and a positive predictive value (PPV) of 85.7% (6/7). These results suggest that the predictive value of ONCs and the high-risk criteria was similar, and that recurrence is likely to occur in patients who fulfill < or =2 of the high-risk criteria. Accordingly, combined use of these parameters may be more effective for the early prediction of recurrence/metastasis to assist in the choice of postoperative systemic chemotherapy.

摘要

本研究旨在比较基于检测淋巴结中隐匿性肿瘤细胞(ONCs)或使用特定标准来识别复发/转移高危患者对105例杜克C期结直肠癌患者复发的预测情况。基于ONCs检测的复发预测敏感性为50.0%(22/44),特异性为80.3%(49/61),准确性为65.2%。基于3项高危标准中至少2项阳性的复发预测敏感性为54.5%(24/44),特异性为83.6%(51/61),准确性为69.1%。在34例有ONCs的患者中,基于所有3项高危标准阳性的复发预测敏感性为27.3%(6/22),特异性为91.7%(11/12),准确性为59.5%,阳性预测值(PPV)为85.7%(6/7)。这些结果表明,ONCs和高危标准的预测价值相似,且满足≤2项高危标准的患者可能发生复发。因此,联合使用这些参数可能对复发/转移的早期预测更有效,有助于选择术后全身化疗。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验