Results 21 to 30 of about 342,678 (334)

mTOR in Lung Neoplasms

open access: yesPathology & Oncology Research, 2020
With the discovery of rapamycin 45 years ago, studies in the mechanistic target of rapamycin (mTOR) field started 2 decades before the identification of the mTOR kinase. Over the years, studies revealed that the mTOR signaling is a master regulator of homeostasis and integrates a variety of environmental signals to regulate cell growth, proliferation ...
Anna Sebestyén   +2 more
openaire   +3 more sources

Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images [PDF]

open access: yes, 2022
Early detection of precancerous cysts or neoplasms, i.e., Intraductal Papillary Mucosal Neoplasms (IPMN), in pancreas is a challenging and complex task, and it may lead to a more favourable outcome. Once detected, grading IPMNs accurately is also necessary, since low-risk IPMNs can be under surveillance program, while high-risk IPMNs have to be ...
arxiv   +1 more source

Meta-analysis of Platelet Lymphocyte Ratio as A Prognostic Factor for
Non-small Cell Lung Cancer

open access: yesChinese Journal of Lung Cancer, 2019
Background and objective Current research shows that platelet to lymphocyte ratio (PLR) has important prognostic value in renal cell carcinoma, esophageal cancer, gastric cancer, liver cancer and colon cancer.
Haoran CHEN   +5 more
doaj   +1 more source

Rapidly Progressive Lung Sarcomatoid Carcinoma Managed with Doxorubicin Plus Ifosfamide and Pemetrexed

open access: yesCase Reports in Oncology, 2021
Pulmonary sarcomatoid carcinoma (PSC) is a rare subtype of nonsmall-cell lung cancer (NSCLC). It carries a poor prognosis, even among other subtypes of NSCLC.
Jan Alberto Paredes Mogica   +4 more
doaj   +1 more source

Lung Imaging with UTE MRI [PDF]

open access: yes, 2023
Cross-sectional imaging of the lungs, or pulmonary imaging, has proven to be an incredibly valuable tool in a wide range of pulmonary diseases. The vast majority of lung imaging is done with CT, as it is fast enough to freeze respiratory motion and provides high spatial resolution to visualize fine structure of the lungs.
arxiv   +1 more source

The Spectrum of Lung and Pleural Neoplasms in Patients Presented to a Tertiary Care Hospital in Nepal

open access: yesJournal of Karnali Academy of Health Sciences, 2022
Background: Lung cancer is one of the most common cancers worldwide. Lung and pleural biopsies are the most commonly performed procedures for the diagnosis of suspicious lesions in the lungs and pleura.
Smritee Mahat   +2 more
doaj  

A molecular map of lung neuroendocrine neoplasms [PDF]

open access: yesGigaScience, 2020
Abstract Background Lung neuroendocrine neoplasms (LNENs) are rare solid cancers, with most genomic studies including a limited number of samples. Recently, generating the first multi-omic dataset for atypical pulmonary carcinoids and the first methylation dataset for large-cell neuroendocrine ...
Aurélie A G Gabriel   +9 more
openaire   +3 more sources

Solitary pulmonary nodules prediction for lung cancer patients using nomogram and machine learning [PDF]

open access: yesarXiv, 2023
Lung cancer(LC) is a type of malignant neoplasm that originates in the bronchial mucosa or glands.As a clinically common nodule,solitary pulmonary nodules(SPNs) have a significantly higher probability of malignancy when they are larger than 8 mm in diameter.But there is also a risk of lung cancer when the diameter is less than 8mm,the purpose of this ...
arxiv  

Neuroendocrine neoplasms of the lung: a pathology update [PDF]

open access: yesmemo - Magazine of European Medical Oncology, 2021
Summary Purpose Neuroendocrine tumors and neuroendocrine carcinomas in the lung are distinct and separate entities featuring neuroendocrine differentiation, for which an accurate classification is clinically warranted. Materials and methods Three perspectives were addressed:
Metovic J., Barella M., Pelosi G.
openaire   +3 more sources

Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data [PDF]

open access: yesarXiv, 2021
Automatic detection of brain neoplasm in Magnetic Resonance Imaging (MRI) is gaining importance in many medical diagnostic applications. This report presents two improvements for brain neoplasm detection in MRI data: an advanced preprocessing technique is proposed to improve the area of interest in MRI data and a hybrid technique using Convolutional ...
arxiv  

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