Home The Word Brain	My Amedeo FAQ Privacy About
	Hanzi Hunter — ultra-fast Hanzi study All 1,152 characters from the aioLingua manual Abstract • About • The 20 audio files ← aioLingua Chinese Online ← Chinese aioLingua PDF

Lung Cancer

Free Subscription Articles published in J Comput Assist Tomogr Retrieve available abstracts of 20 articles: HTML format

Single Articles

November 2025
1. LI F, He Y, Yang H, Qu X, et al
   Pseudocavity on Thin-slice CT Can Be a Suggestion of Bronchiolar Adenoma: A Preliminary Study on 80 Cases With Bronchiolar Adenoma of the Lung.
   J Comput Assist Tomogr. 2025;49:934-942.
   PubMed     Abstract available
   
   
   September 2025
2. MURAT A, Zeynep B, Ramazan G, Zeynep Nilufer T, et al
   Association Between Sarcopenia Measurement in Pectoral Region and Immediate Complications Following Percutaneous Transthoracic Lung Biopsy.
   J Comput Assist Tomogr. 2025;49:769-776.
   PubMed     Abstract available
   
   
   
3. CHEN Y, Liu J, Ji J, Zhao Y, et al
   Computed Tomography Combined With Real-time Ultrasound-guided Percutaneous Needle Biopsy of Peripleural Lung Nodules.
   J Comput Assist Tomogr. 2025;49:751-758.
   PubMed     Abstract available
   
   
   July 2025
4. BAIDYA KAYAL E, Ganguly S, Sasi A, Dheeksha DS, et al
   3D Segmentation of Whole Lung and Metastatic Lung Nodules Using Adaptive Region Growing and Shape-based Morphology.
   J Comput Assist Tomogr. 2025;49:611-624.
   PubMed     Abstract available
   
   
   February 2025
5. BILGIN E, Yaltirik Bilgin E, Bayrak A, Torenek S, et al
   Effectiveness of CT Histogram Analysis to Differentiate Lung Metastases From Second Primary Lung Cancer to Decrease Need for Lung Biopsy.
   J Comput Assist Tomogr. 2025 Feb 25. doi: 10.1097/RCT.0000000000001742.
   PubMed     Abstract available
   
   
   December 2024
6. ASIK M, Kazci ZN
   Diagnostic Performance of Imaging Methods in Predicting Lung Cancer Metastases.
   J Comput Assist Tomogr. 2024 Dec 9. doi: 10.1097/RCT.0000000000001706.
   PubMed     Abstract available
   
   
   November 2024
7. ZHENG Z, Liang Y, Wu Z, Han Q, et al
   Effect of Deep Learning Image Reconstruction Algorithms on Radiomic Features of Pulmonary Nodules in Ultra-Low-Dose CT.
   J Comput Assist Tomogr. 2024;48:943-950.
   PubMed     Abstract available
   
   
   
8. DING L, Li X, Lin J, Deng S, et al
   Impact on Image Quality and Diagnostic Performance of Dual-Layer Detector Spectral CT for Pulmonary Subsolid Nodules: Comparison With Hybrid and Model-Based Iterative Reconstruction.
   J Comput Assist Tomogr. 2024;48:921-929.
   PubMed     Abstract available
   
   
   
9. LIM RS, Rosenberg J, Willemink MJ, Cheng SN, et al
   Volumetric Analysis: Effect on Diagnosis and Management of Indeterminate Solid Pulmonary Nodules in Routine Clinical Practice.
   J Comput Assist Tomogr. 2024;48:906-913.
   PubMed     Abstract available
   
   
   September 2024
10. YANG J, Yang C, Feng J, Zhu F, et al
    Predicting Microwave Ablation Early Efficacy in Pulmonary Malignancies via Delta Radiomics Models.
    J Comput Assist Tomogr. 2024;48:794-802.
    PubMed     Abstract available
    
    
    
11. LIU JC, Sheng J, Xue S, Fang M, et al
    Value of the Air Bronchogram Sign and Other Computed Tomography Findings in the Early Diagnosis of Lung Adenocarcinoma.
    J Comput Assist Tomogr. 2024;48:789-793.
    PubMed     Abstract available
    
    
    
12. BYRNE SC, Peers C, Gargan ML, Lacson R, et al
    Risk of Malignancy in Incidentally Detected Lung Nodules in Patients Aged Younger Than 35 Years.
    J Comput Assist Tomogr. 2024;48:770-773.
    PubMed     Abstract available
    
    
    August 2024
13. WU L, Wei D, Chen W, Wu C, et al
    Comprehensive Potential of Artificial Intelligence for Predicting PD-L1 Expression and EGFR Mutations in Lung Cancer: A Systematic Review and Meta-Analysis.
    J Comput Assist Tomogr. 2024 Aug 12. doi: 10.1097/RCT.0000000000001644.
    PubMed     Abstract available
    
    
    
14. PAN X, Xie X, Chen X, Chen H, et al
    High-Resolution CT Patterns of Anti-PD1 Checkpoint Inhibitor-Related Pneumonitis in Patients With Lung Cancer.
    J Comput Assist Tomogr. 2024 Aug 12. doi: 10.1097/RCT.0000000000001643.
    PubMed     Abstract available
    
    
    May 2024
15. KIRIKI M, Koizumi M, Maeda K, Sakai T, et al
    Development of the Split-Bolus Pulmonary Arteriovenous Separating Computed Tomography Angiography Protocol Based on Time Enhancement Curve for Lung Cancer Surgery.
    J Comput Assist Tomogr. 2024 May 2. doi: 10.1097/RCT.0000000000001621.
    PubMed     Abstract available
    
    
    March 2024
16. MAGNINI A, Lorini C, Calistri L, Calcagni F, et al
    The Impact of Rapid On-site Evaluation on Diagnostic Performance of Computed Tomography-Guided Core Needle Biopsy in Lung Cancer.
    J Comput Assist Tomogr. 2024 Mar 22. doi: 10.1097/RCT.0000000000001606.
    PubMed     Abstract available
    
    
    
17. HU Y, Geng Y, Wang H, Chen H, et al
    Improved Prediction of Epidermal Growth Factor Receptor Status by Combined Radiomics of Primary Nonsmall-Cell Lung Cancer and Distant Metastasis.
    J Comput Assist Tomogr. 2024 Mar 18. doi: 10.1097/RCT.0000000000001591.
    PubMed     Abstract available
    
    
    November 2023
18. SHI J, Chen H, Wang X, Cao R, et al
    Using Radiomics to Differentiate Brain Metastases From Lung Cancer Versus Breast Cancer, Including Predicting Epidermal Growth Factor Receptor and human Epidermal Growth Factor Receptor 2 Status.
    J Comput Assist Tomogr. 2023;47:924-933.
    PubMed     Abstract available
    
    
    
19. ZHANG Y, Tan W, Zheng Z, Wang J, et al
    Body Composition and Radiomics From 18 F-FDG PET/CT Together Help Predict Prognosis for Patients With Stage IV Non-Small Cell Lung Cancer.
    J Comput Assist Tomogr. 2023;47:906-912.
    PubMed     Abstract available
    
    
    October 2023
20. UDELSMAN BV, Detterbeck F, Tanoue L, Mase V, et al
    Impact of the COVID-19 Pandemic on Lung Cancer Screening Processes in a Northeast Tertiary Health Care Network.
    J Comput Assist Tomogr. 2023 Oct 12. doi: 10.1097/RCT.0000000000001549.
    PubMed     Abstract available
    
    

Thank you for your interest in scientific medicine.

AMEDEO Lung Cancer is free of charge.