Literature DB >> 28822887

The changing diagnostic pathway for lung cancer patients in Shanghai, China.

Tao Jiang1, Shengxiang Ren1, Xuefei Li2, Chunxia Su3, Caicun Zhou4, Mary O'Brien5.   

Abstract

Accumulating evidence suggest that patients with advanced non-small-cell lung cancer (NSCLC) and specific genomic alterations including epidermal growth factor receptor and microtubule-associated protein-like 4 anaplastic lymphoma kinase could significantly benefit from molecular-targeted therapies compared with chemotherapy. Recently, immunotherapy based on programmed cell death 1 (PD-1) and its ligand (PD-L1) blockade prolong survival in patients with advanced NSCLC, especially in those patients with positive expression of PD-L1 and when used in the first-line setting. Therefore, the diagnosis, clinical staging and molecular genotyping must be quick and efficient so that we can make a timely and precise decision for treatment strategy. In our department, it takes a median 4 working days (range 3-6) for a new patient from initial respiratory consultation to treatment decision, whereas in many countries, 14 workdays is considered a reasonable timeline. In this article, we will provide detailed information on the diagnostic pathway for a new patient suspected of having lung cancer to the final treatment decisions in our department.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Lung cancer; Rapid diagnosis; Treatment decision

Mesh:

Substances:

Year:  2017        PMID: 28822887     DOI: 10.1016/j.ejca.2017.07.036

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  5 in total

1.  Optimal Care Pathways for People with Lung Cancer- a Scoping Review of the Literature.

Authors:  Zulfiquer Otty; Amy Brown; Sabe Sabesan; Rebecca Evans; Sarah Larkins
Journal:  Int J Integr Care       Date:  2020-09-28       Impact factor: 5.120

2.  Implementation of a pathological diagnosis and treatment pathway may improve the molecular detection of lung cancer.

Authors:  Chao Shi; Bing Wei; Xiaohui Liu; Lin Meng; Chengzhi Zhao; Yuxi Chang; Rui Sun; Zhongxian Zhang; Yang Yu; Jie Ma
Journal:  Ann Transl Med       Date:  2022-01

Review 3.  Interventions to improve early cancer diagnosis of symptomatic individuals: a scoping review.

Authors:  George N Okoli; Otto L T Lam; Viraj K Reddy; Leslie Copstein; Nicole Askin; Anubha Prashad; Jennifer Stiff; Satya Rashi Khare; Robyn Leonard; Wasifa Zarin; Andrea C Tricco; Ahmed M Abou-Setta
Journal:  BMJ Open       Date:  2021-11-09       Impact factor: 2.692

4.  Deep convolutional neural network-based classification of cancer cells on cytological pleural effusion images.

Authors:  Xiaofeng Xie; Chi-Cheng Fu; Lei Lv; Qiuyi Ye; Yue Yu; Qu Fang; Liping Zhang; Likun Hou; Chunyan Wu
Journal:  Mod Pathol       Date:  2022-01-10       Impact factor: 8.209

Review 5.  Non-small cell lung cancer in China.

Authors:  Peixin Chen; Yunhuan Liu; Yaokai Wen; Caicun Zhou
Journal:  Cancer Commun (Lond)       Date:  2022-09-08
  5 in total

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