Dersleri yüzünden oldukça stresli bir ruh haline sikiş hikayeleri bürünüp özel matematik dersinden önce rahatlayabilmek için amatör pornolar kendisini yatak odasına kapatan genç adam telefonundan porno resimleri açtığı porno filmini keyifle seyir ederek yatağını mobil porno okşar ruh dinlendirici olduğunu iddia ettikleri özel sex resim bir masaj salonunda çalışan genç masör hem sağlık hem de huzur sikiş için gelip masaj yaptıracak olan kadını gördüğünde porn nutku tutulur tüm gün boyu seksi lezbiyenleri sikiş dikizleyerek onları en savunmasız anlarında fotoğraflayan azılı erkek lavaboya geçerek fotoğraflara bakıp koca yarağını keyifle okşamaya başlar

GET THE APP

Predicting the Prognosis and Survival in Early-Stage Lung Cancer after Curative Surgery | OMICS International | Abstract

Journal of Oncology Research and Treatment
Open Access

Like us on:

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

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

Wang Chun Kwok1, Ting Fung Ma2 and Terence Chi Chun Tam1*
1Department of Medicine, University of Hong Kong, Pokfulam, China
2Department of Statistics, University of South Carolina, Columbia, USA
*Corresponding Author: Terence Chi Chun Tam, Department of Medicine, University of Hong Kong, Pokfulam, China Exn.22553111, Email: tcctam@netvigator.com

Received Date: May 22, 2023 / Published Date: Jun 23, 2023

Citation: Kwok WC, Ma TF, Tam TCC (2023) Predicting the Prognosis and Survival in Early-Stage Lung Cancer after Curative Surgery. J Oncol Res Treat. 8:228.DOI: 10.4172/aot.1000228


Warning: Undefined variable $i in /efsdata/omicsonline.org/httpdocs/peer-reviewed/abstract-page.php on line 156

Warning: Undefined variable $for_cr in /efsdata/omicsonline.org/httpdocs/peer-reviewed/abstract-page.php on line 156
Copyright:
© 2023 Kwok WC, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

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.

Keywords

Top