A logistic regression predictive model and the outcome of patients with resected lung adenocarcinoma of 2 cm or less in size.
A logistic regression predictive model and the outcome of patients with resected lung adenocarcinoma of 2 cm or less in size.
复制标题
逻辑回归预测模型和切除大小为 2 厘米或更小的肺腺癌患者的结果。
DOI：
10.1016/j.lungcan.2008.10.011
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发表时间：
2009
期刊：
影响因子：
5.3
通讯作者：
Y. Miyagi
中科院分区：
文献类型：
--
作者：
Y. Sakuma;N. Okamoto;H. Saito;Kouzo Yamada;T. Yokose;M. Kiyoshima;Y. Asato;R. Amemiya;Hitoaki Saitoh;S. Matsukuma;M. Yoshihara;Yoshiyasu Nakamura;F. Oshita;H. Ito;H. Nakayama;Y. Kameda;E. Tsuchiya;Y. Miyagi
诊断切除后复发的小肺腺癌的诊断标准尚未建立。为此，我们在本研究中开发了一个数学Logistic模型。我们收集了小于或等于2厘米的肺腺癌患者的数据：最初的队列包括28名男性和25名女性，验证队列包括11名男性。通过将5个临床病理因素(血管侵犯、淋巴渗透、组织亚型、乳头状癌成分和吸烟状况)输入Logistic模型，我们计算了术后复发的预测函数。得到的预测函数准确地将患者分为复发或未复发组：从原始队列中的男性患者建立的复发预测模型的总体准确率为86%。然而，我们的预测模型目前仅限于男性患者，因为最初的队列只包括一名复发的女性患者。通过将Logistic模型应用于验证队列，6名患者被归入复发组，其余5名患者被归入非复发组：复发组中6名患者中有4名复发，而非复发组中所有5名患者在随访期内都很好。虽然Logistic模型的预测能力没有达到统计学意义(P=0.0606)，但验证队列中的11名患者中有9名(82%)被正确分类。因此，使用由五个临床病理因素组成的Logistic预测模型可能使我们能够预测男性患者切除的小型肺腺癌的复发。
Diagnostic criteria to identify small lung adenocarcinomas that relapse after resection have yet to be established. For this purpose, we developed a mathematical logistic model in the present study. We collected data for patients with lung adenocarcinoma of 2cm or less in size: the original cohort comprised 28 men and 25 women and the validation cohort comprised 11 men. By entering five clinicopathological factors (vascular invasion, lymphatic permeation, histological subtype, papillary carcinoma component, and smoking status) into the logistic model, we calculated a predictive function for relapse after surgery. The obtained predictive function accurately classified the patients into a recurrence or non-recurrence group: the overall accuracy of the predictive model for recurrence established from the male patients in the original cohort was 86%. Our predictive model is, however, currently limited to male patients only, because the original cohort included only one female patient with relapse. By applying the logistic model to the validation cohort, six patients were classified into a recurrence group and the other five into a non-recurrence group: four of the six patients in a recurrence group had relapsed, while all five patients in the non-recurrence group were well during their follow-up periods. Although the predictive ability of the logistic model did not reach a statistical significance (P=0.0606), nine of the 11 (82%) patients in the validation cohort were correctly classified. Consequently, using a logistic predictive model consisting of the five clinicopathological factors might enable us to predict the recurrence of resected small-sized lung adenocarcinomas in male patients.
影响因子：
45.3
作者：
Kwiatkowski, DJ;Harpole, DH;Sugarbaker, DJ
通讯作者：
Sugarbaker, DJ
影响因子：
158.5
作者：
Brock, Malcolm V.;Hooker, Craig M.;Herman, James G.
通讯作者：
Herman, James G.
影响因子：
120.7
作者：
Ingelsson, Erik;Schaefer, Ernst J.;Vasan, Ramachandran S.
通讯作者：
Vasan, Ramachandran S.