ISSN:

ジャーナル・オブ・オンコロジーの研究と治療

オープンアクセス

当社グループは 3,000 以上の世界的なカンファレンスシリーズ 米国、ヨーロッパ、世界中で毎年イベントが開催されます。 1,000 のより科学的な学会からの支援を受けたアジア および 700 以上の オープン アクセスを発行ジャーナルには 50,000 人以上の著名人が掲載されており、科学者が編集委員として名高い

オープンアクセスジャーナルはより多くの読者と引用を獲得
700 ジャーナル 15,000,000 人の読者 各ジャーナルは 25,000 人以上の読者を獲得

抽象的な

Predicting the Prognosis and Survival in Early-Stage Lung Cancer after Curative Surgery

Wang Chun Kwok, Ting Fung Ma, Terence Chi Chun Tam

Lung cancer remains one of the most important cancer-related mortality. More early-stage lung cancer is expected to be diagnosed, due to the use of low-dose computed tomography in lung cancer screening. Among all cell type, adenocarcinoma was the commonest among Asian population, with EGFR mutation being the commonest driver mutation. Various clinic-pathological factors were reported to be associated with the prognosis of early-stage lung cancer. Prediction rules were also developed based on different prognostic factors, to predict the survival and recurrence of lung cancer after curative surgery. There are also dedicated prediction rules that were developed on specific ethnic subgroup, such as Chinese population. Furthermore, with the advancement of artificial intelligence, deep learning and other advanced technologies, novel prediction rules are being developed that can further enhance the prognostication of early-stage lung cancer. In this mini-review, we present the reported prognostic factors of surgically resected early-stage lung cancer, the prediction rules developed, as well as the future direction of clinical research.