Diagnosis of Lung Carcinoma on Small Biopsy.
Sign Up to like & getrecommendations! Published in 2020 at "Surgical pathology clinics"
DOI: 10.1016/j.path.2019.11.001
Abstract: Given the growing desire in clinical practice to detect lung carcinoma early, small biopsies are becoming more common and vital to the diagnostic process. Accurately diagnosing lung carcinoma on small biopsies is challenging but can… read more here.
Keywords: carcinoma small; small biopsies; lung carcinoma; small biopsy ... See more keywords
Facilitating early diagnosis of lung cancer amongst primary care patients: The views of GPs
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DOI: 10.1111/ecc.12704
Abstract: Early diagnosis of lung cancer (LC) is a policy priority. However, symptoms are vague, associated with other morbidities, and frequently unrecognised by both patients and general practitioners (GPs). This qualitative study, part of a larger… read more here.
Keywords: primary care; early diagnosis; cancer; care ... See more keywords
Auxiliary Diagnosis of Lung Cancer with Magnetic Resonance Imaging Data under Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/1994082
Abstract: This study was aimed at two image segmentation methods of three-dimensional (3D) U-shaped network (U-Net) and multilevel boundary sensing residual U-shaped network (RUNet) and their application values on the auxiliary diagnosis of lung cancer. In… read more here.
Keywords: lung cancer; auxiliary diagnosis; lung; lung tumors ... See more keywords
Deep Learning-Based Chest CT Image Features in Diagnosis of Lung Cancer
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/4153211
Abstract: This study was to evaluate the diagnostic value of deep learning-optimized chest CT in the patients with lung cancer. 90 patients who were diagnosed with lung cancer by surgery or puncture in hospital were selected… read more here.
Keywords: lung cancer; deep learning; diagnosis lung; learning based ... See more keywords
Retracted: Adaptive Diagnosis of Lung Cancer by Deep Learning Classification Using Wilcoxon Gain and Generator
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Healthcare Engineering"
DOI: 10.1155/2023/9765029
Abstract: [This retracts the article DOI: 10.1155/2021/5912051.]. read more here.
Keywords: lung cancer; cancer deep; adaptive diagnosis; retracted adaptive ... See more keywords
Abstract 3299: Usefulness of protocadherin GA12 and cysteine dioxygenase type 1 methylation biomarkers in the diagnosis of lung cancer
Sign Up to like & getrecommendations! Published in 2023 at "Cancer Research"
DOI: 10.1158/1538-7445.am2023-3299
Abstract: Rationale: The use of bronchoscopy is key to the diagnosis of lung cancer. However, the sensitivity of bronchoscopy is low. In addition, bronchial washing cytology, a routine auxiliary test, does not significantly improve the performance… read more here.
Keywords: lung cancer; methylation; methylation biomarkers; diagnosis lung ... See more keywords
MicroRNA in the diagnosis of lung cancer: An overview of ten systematic reviews
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DOI: 10.1177/00045632221128684
Abstract: Objective To provide theoretical support for clinical diagnosis of lung cancer through an overview of systematic reviews (SRs) of the diagnostic value of miRNA. Methods We searched PubMed, Embase, and the Cochrane Library to collect… read more here.
Keywords: lung cancer; risk; risk bias; diagnosis lung ... See more keywords
Comparison of demographics in quitters compared to continued smokers in patients with lung cancer
Sign Up to like & getrecommendations! Published in 2017 at "European Respiratory Journal"
DOI: 10.1183/1393003.congress-2017.pa4238
Abstract: There is growing evidence that at the time of diagnosis of lung cancer (LC), never smokers have longer survival than ex- and particularly continued smokers. Those who quit smoking following a diagnosis of lung cancer… read more here.
Keywords: cancer; quit smoking; diagnosis lung; lung cancer ... See more keywords
Comparison of serum tumor markers combined with dual-source CT in the diagnosis of lung cancer.
Sign Up to like & getrecommendations! Published in 2021 at "Minerva medica"
DOI: 10.23736/s0026-4806.21.07124-x
Abstract: BACKGROUND The purpose of this study is to explore the clinical value of serum tumor markers combined with dual-source CT scanning in the diagnosis of lung cancer. METHODS 102 patients with lung cancer (malignant tumor… read more here.
Keywords: tumor; lung cancer; cancer; diagnosis lung ... See more keywords
Microbiota Emergencies in the Diagnosis of Lung Diseases: A Meta-Analysis
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DOI: 10.3389/fcimb.2021.709634
Abstract: Although many studies have reported that microbiota emergencies are deeply involved in the occurrence and subsequent progression of lung diseases, the present diagnosis of lung disease depends on microbiota markers, which is still poorly understood.… read more here.
Keywords: lung diseases; diagnosis lung; microbiota markers; lung ... See more keywords
Plasma CXCL14 as a Candidate Biomarker for the Diagnosis of Lung Cancer
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.833866
Abstract: Background Effective biomarkers for early diagnosis of lung cancer are needed. Previous studies have indicated positive associations between abnormal circulating cytokines and the etiology of lung cancer. Methods Blood samples were obtained from 286 patients… read more here.
Keywords: lung cancer; biomarker; cxcl14; diagnosis lung ... See more keywords