Small-cell lung cancer
CM Rudin, E Brambilla, C Faivre-Finn… - Nature Reviews Disease …, 2021 - nature.com
Small-cell lung cancer (SCLC) represents about 15% of all lung cancers and is marked by
an exceptionally high proliferative rate, strong predilection for early metastasis and poor …
an exceptionally high proliferative rate, strong predilection for early metastasis and poor …
Lung cancer LDCT screening and mortality reduction—evidence, pitfalls and future perspectives
M Oudkerk, SY Liu, MA Heuvelmans… - Nature reviews Clinical …, 2021 - nature.com
In the past decade, the introduction of molecularly targeted agents and immune-checkpoint
inhibitors has led to improved survival outcomes for patients with advanced-stage lung …
inhibitors has led to improved survival outcomes for patients with advanced-stage lung …
[HTML][HTML] Perioperative durvalumab for resectable non–small-cell lung cancer
JV Heymach, D Harpole, T Mitsudomi… - … England Journal of …, 2023 - Mass Medical Soc
Background Neoadjuvant or adjuvant immunotherapy can improve outcomes in patients
with resectable non–small-cell lung cancer (NSCLC). Perioperative regimens may combine …
with resectable non–small-cell lung cancer (NSCLC). Perioperative regimens may combine …
Screening for lung cancer: 2023 guideline update from the American Cancer Society
A Wolf, KC Oeffinger, TYC Shih… - CA: A Cancer …, 2023 - digitalscholar.lsuhsc.edu
Lung cancer is the leading cause of mortality and person-years of life lost from cancer
among US men and women. Early detection has been shown to be associated with reduced …
among US men and women. Early detection has been shown to be associated with reduced …
[HTML][HTML] Detection and characterization of lung cancer using cell-free DNA fragmentomes
D Mathios, JS Johansen, S Cristiano, JE Medina… - Nature …, 2021 - nature.com
Non-invasive approaches for cell-free DNA (cfDNA) assessment provide an opportunity for
cancer detection and intervention. Here, we use a machine learning model for detecting …
cancer detection and intervention. Here, we use a machine learning model for detecting …
[HTML][HTML] The effect of advances in lung-cancer treatment on population mortality
N Howlader, G Forjaz, MJ Mooradian… - … England Journal of …, 2020 - Mass Medical Soc
Background Lung cancer is made up of distinct subtypes, including non–small-cell lung
cancer (NSCLC) and small-cell lung cancer (SCLC). Although overall mortality from lung …
cancer (NSCLC) and small-cell lung cancer (SCLC). Although overall mortality from lung …
[HTML][HTML] Single-molecule genome-wide mutation profiles of cell-free DNA for non-invasive detection of cancer
Somatic mutations are a hallmark of tumorigenesis and may be useful for non-invasive
diagnosis of cancer. We analyzed whole-genome sequencing data from 2,511 individuals in …
diagnosis of cancer. We analyzed whole-genome sequencing data from 2,511 individuals in …
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
With an estimated 160,000 deaths in 2018, lung cancer is the most common cause of cancer
death in the United States. Lung cancer screening using low-dose computed tomography …
death in the United States. Lung cancer screening using low-dose computed tomography …
[HTML][HTML] Global initiative for chronic obstructive lung disease 2023 report: GOLD executive summary
The Global Initiative for Chronic Obstructive Lung Disease (GOLD) has published the
complete 2023 GOLD report, which can be freely downloaded from its web page (www …
complete 2023 GOLD report, which can be freely downloaded from its web page (www …
Sybil: a validated deep learning model to predict future lung cancer risk from a single low-dose chest computed tomography
PURPOSE Low-dose computed tomography (LDCT) for lung cancer screening is effective,
although most eligible people are not being screened. Tools that provide personalized …
although most eligible people are not being screened. Tools that provide personalized …