[HTML][HTML] The IASLC lung cancer staging project: proposals for coding T categories for subsolid nodules and assessment of tumor size in part-solid tumors in the …

WD Travis, H Asamura, AA Bankier, MB Beasley… - Journal of Thoracic …, 2016 - Elsevier
This article proposes codes for the primary tumor categories of adenocarcinoma in situ (AIS)
and minimally invasive adenocarcinoma (MIA) and a uniform way to measure tumor size in …

[HTML][HTML] The 2015 World Health Organization classification of lung tumors: impact of genetic, clinical and radiologic advances since the 2004 classification

WD Travis, E Brambilla, AG Nicholson, Y Yatabe… - Journal of thoracic …, 2015 - Elsevier
Abstract The 2015 World Health Organization (WHO) Classification of Tumors of the Lung,
Pleura, Thymus and Heart has just been published with numerous important changes from …

Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks

J Yao, X Zhu, J Jonnagaddala, N Hawkins… - Medical Image Analysis, 2020 - Elsevier
Traditional image-based survival prediction models rely on discriminative patch labeling
which make those methods not scalable to extend to large datasets. Recent studies have …

Spatial positioning and matrix programs of cancer-associated fibroblasts promote T-cell exclusion in human lung tumors

JA Grout, P Sirven, AM Leader, S Maskey, E Hector… - Cancer Discovery, 2022 - AACR
It is currently accepted that cancer-associated fibroblasts (CAF) participate in T-cell
exclusion from tumor nests. To unbiasedly test this, we used single-cell RNA sequencing …

A grading system for invasive pulmonary adenocarcinoma: a proposal from the International Association for the Study of Lung Cancer Pathology Committee

AL Moreira, PSS Ocampo, Y Xia, H Zhong… - Journal of Thoracic …, 2020 - Elsevier
Introduction A grading system for pulmonary adenocarcinoma has not been established.
The International Association for the Study of Lung Cancer pathology panel evaluated a set …

Early and locally advanced non-small-cell lung cancer (NSCLC): ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up

PE Postmus, KM Kerr, M Oudkerk, S Senan… - Annals of …, 2017 - annalsofoncology.org
Lung cancer is the leading cause of cancer mortality worldwide with 1.8 million newly
diagnosed cases, or 13% of all cancers diagnosed, in 2012 [1]. The worldwide numbers are …

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

KH Yu, C Zhang, GJ Berry, RB Altman, C Ré… - Nature …, 2016 - nature.com
Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is
indispensable for its diagnosis. However, human evaluation of pathology slides cannot …

Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks

JW Wei, LJ Tafe, YA Linnik, LJ Vaickus, N Tomita… - Scientific reports, 2019 - nature.com
Classification of histologic patterns in lung adenocarcinoma is critical for determining tumor
grade and treatment for patients. However, this task is often challenging due to the …

Adjuvant systemic therapy and adjuvant radiation therapy for stage I to IIIA completely resected non–small-cell lung cancers: American Society of Clinical Oncology …

MG Kris, LE Gaspar, JE Chaft, EB Kennedy… - Journal of Clinical …, 2017 - ascopubs.org
Purpose The panel updated the American Society of Clinical Oncology (ASCO) adjuvant
therapy guideline for resected non–small-cell lung cancers. Methods ASCO convened an …

Automated sample preparation with SP 3 for low‐input clinical proteomics

T Müller, M Kalxdorf, R Longuespée… - Molecular systems …, 2020 - embopress.org
High‐throughput and streamlined workflows are essential in clinical proteomics for
standardized processing of samples from a variety of sources, including fresh‐frozen tissue …