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Journal ArticleDOI

The Eighth Edition Lung Cancer Stage Classification

Frank C. Detterbeck, +3 more
- 01 Jan 2017 - 
- Vol. 151, Iss: 1, pp 193-203
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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.
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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.

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Citations
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Posted ContentDOI

Quantitative proteomics identifies tumour matrisome signatures in patients with non-small cell lung cancer

TL;DR: In this paper , the authors used mass spectrometry to identify 161 matrisome proteins differentially regulated between tumour tissue and nearby non-malignant lung tissue, and validated two putative extracellular markers of NSCLC, the collagen cross-linking enzyme peroxidasin and a disintegrin and metalloproteinase with thrombospondin motifs 16 (ADAMTS16), for discrimination of malignant and nonmalignant tissue.
Journal ArticleDOI

Artificial neural network-based diagnostic models for lung cancer combining conventional indicators with tumor markers.

TL;DR: Wang et al. as mentioned in this paper established a lung cancer diagnosis and prediction model using conventional laboratory indicators combined with tumor markers, so as to help early screening and auxiliary diagnosis of lung cancer through a convenient, fast, and cheap way.
Journal ArticleDOI

Dosimetric Variability Across a Library of Computational Tumor Phantoms

TL;DR: In this article , the effects of tumor shape, size, and margin contour on absorbed dose were modeled using computer-aided design software, and the models were used to calculate absorbed dose per unit of time-integrated activity (i.e., S values) for several clinically applied therapeutic radionuclides (90Y, 131I, 177Lu, 211At, 225Ac, 213Bi, and 223Ra).
Journal ArticleDOI

Management options for pulmonary nodules with cancer of unknown primary

TL;DR: How knowledge of the different survival subsets that make up the diverse pathologies under CUP, together with informed surgical decision regarding tumour resectability should guide treatment choices is illustrated.
Journal ArticleDOI

The prognostic value of a 4-factor neoimmunologic score system in non-small cell lung cancer

TL;DR: In this article , the authors evaluated the prognostic value of a newly established immunologic score (neo-IS) in patients with non-small cell lung cancers (NSCLC), which was constructed using a Cox proportional hazards regression model.
References
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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.
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