scispace - formally typeset
Journal ArticleDOI

The Eighth Edition Lung Cancer Stage Classification

Frank C. Detterbeck, +3 more
- 01 Jan 2017 - 
- Vol. 151, Iss: 1, pp 193-203
Reads0
Chats0
TLDR
This paper summarizes the eighth edition of lung cancer stage classification, which is the worldwide standard as of January 1, 2017, based on a large global database, a sophisticated analysis, extensive internal validation as well as multiple assessments confirming generalizability.
About
This article is published in Chest.The article was published on 2017-01-01. It has received 987 citations till now. The article focuses on the topics: Cancer.

read more

Citations
More filters
Journal ArticleDOI

Adenocarcinoma of High-Grade Patterns Associated with Distinct Outcome of First-Line Chemotherapy or EGFR-TKIs in Patients of Relapsed Lung Cancer

TL;DR: In this article, the authors investigated the association between an adnocarcinoma with high-grade patterns with the outcomes of first-line treatment in patients with lung cancer, and they reported that adenoccarinoma of high grade patterns had a significantly lower objective response rate (ORR; 15.6% vs 36.4%, P=0.045), shorter progression-free survival (PFS; median 4.1 vs 5.4 months, P= 0.007) and overall survival (OS, median 19.6 vs 23.8 months,
Journal ArticleDOI

The Multidisciplinary Approach in Stage III Non-Small Cell Lung Cancer over Ten Years: From Radiation Therapy Optimisation to Innovative Systemic Treatments

TL;DR: In this paper , the authors provided a real-world description of treatment evolution and survival outcomes of stage III non-small cell lung cancer patients referred to the Veneto Institute of Oncology and University Hospital of Padova for about 10 years.
Journal ArticleDOI

Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non–Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study

TL;DR: The multiturn question answering NLP model can extract features effectively to support the development of LNM prediction models, which may facilitate the clinical application of predictive models.
Journal ArticleDOI

A narrative review of prognosis prediction models for non-small cell lung cancer: what kind of predictors should be selected and how to improve models?

TL;DR: In this paper, the authors summarize the existing prognostic prediction models of non-small cell lung cancer (NSCLC) and explore how to build better models by summarizing the existing prediction models.
Journal ArticleDOI

Detection of human papillomavirus distinguishes second primary tumors from lung metastases in patients with squamous cell carcinoma of the cervix.

TL;DR: HPV detection may be helpful in distinguishing second primary tumors from lung metastases in patients with SCCC, and does not seem to play a role in the development of primary lung SqCCs.
References
More filters
BookDOI

TNM classification of malignant tumours

TL;DR: Head and Neck Tumours.- Lip and Oral Cavity.- Pharynx.- Larynx.' Maxillary Sinus.- Salivary Glands.- Thyroid Gland.- Digestive System Tumour .
Journal ArticleDOI

The IASLC Lung Cancer Staging Project: Proposals for Revision of the TNM Stage Groupings in the Forthcoming (Eighth) Edition of the TNM Classification for Lung Cancer.

Peter Goldstraw, +142 more
TL;DR: The methods used to evaluate the resultant Stage groupings and the proposals put forward for the 8th edition of the TNM Classification for lung cancer due to be published late 2016 are described.
Journal ArticleDOI

The IASLC Lung Cancer Staging Project: Proposals for the Revisions of the T Descriptors in the Forthcoming Eighth Edition of the TNM Classification for Lung Cancer

TL;DR: Recommendations are to subclassify T1 into T1a, T1b, and T1c, and to group involvement of main bronchus as T2 regardless of distance from carina; to group partial and total atelectasis/pneumonitis as T1; to reclassify diaphragm invasion as T4; and to delete mediastinal pleura invasion as a T descriptor.
Related Papers (5)