ReviewJournal of thoracic disease2020
Implications of the updated Lung CT Screening Reporting and Data System (Lung-RADS version 1.1) for lung cancer screening.
Review in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Standalone deep learning versus experts for diagnosis lung cancer on chest computed tomography: a systematic review.European radiology · 2024Pooled it
- A DNA Methylation-based algorithm Improves Lung Cancer risk prediction in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial.Lung cancer (Amsterdam, Netherlands) · 2026Article
- Usefulness of the multimodal biopsy approach in radial endobronchial ultrasound biopsy for peripheral lung lesions: a single center retrospective study.Journal of thoracic disease · 2026Article
- Article
- Rationale for the Nodule Management Protocol of the Australian National Lung Cancer Screening Program.Journal of medical imaging and radiation oncology · 2026Review
- RADS ALPHABET: news and tips for young and general radiologists.Insights into imaging · 2026Article
- Patient and nodule characteristics associated with adherence to lung cancer screening in a large integrated healthcare system.Scientific reports · 2025Article
- Content accuracy and reliability of pulmonary nodule information on social media platforms: a cross-platform study of YouTube, Bilibili, and TikTok.Frontiers in medicine · 2025Article
- Tumour-pleura relationship on computed tomography (CT) provides effective risk stratification for peripheral pulmonary nodules with Lung Imaging Reporting and Data System (Lung-RADS) score of 4X.Quantitative imaging in medicine and surgery · 2024Article
- Artificial intelligence-based graded training of pulmonary nodules for junior radiology residents and medical imaging students.BMC medical education · 2024Article
- Diagnostic utility of adding needle aspiration (using PeriView FLEX needle) to radial endobronchial ultrasound guide sheath transbronchial lung biopsy: a single center retrospective study.Journal of thoracic disease · 2024Article
- Influence of CT dose reduction on AI-driven malignancy estimation of incidental pulmonary nodules.European radiology · 2024Article
- The differential computed tomography features between small benign and malignant solid solitary pulmonary nodules with different sizes.Quantitative imaging in medicine and surgery · 2024Article
- Comparison of different classification systems for pulmonary nodules: a multicenter retrospective study in China.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Ex-vivo 1.5T MR Imaging versus CT in Estimating the Size of the Pathologically Invasive Component of Lung Adenocarcinoma Spectrum Lesions.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Article
- The lung cancers: staging and response, CT,The British journal of radiology · 2023Review
- "Will I change nodule management recommendations if I change my CAD system?"-impact of volumetric deviation between different CAD systems on lesion management.European radiology · 2023Article
- Proposal of Modified Lung-RADS in Assessing Pulmonary Nodules of Patients with Previous Malignancies: A Primary Study.Diagnostics (Basel, Switzerland) · 2023Article
- MRI Compared with Low-Dose CT for Incidental Lung Nodule Detection in COPD: A Multicenter Trial.Radiology. Cardiothoracic imaging · 2023Article
- Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients.The British journal of radiology · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer remains the leading cause of cancer death in the United States. Screening with low-dose computed tomography (LDCT) has been proven to aid in early detection of lung cancer and reduce disease specific mortality. In 2014, the American College of Radiology (ACR) released version 1.0 of the Lung CT Screening Reporting and Data System (Lung-RADS) as a quality tool to standardize the reporting of lung cancer screening LDCT. In 2019, 5 years after the implementation of Lung-RADS version 1.0 the ACR released the updated Lung-RADS version 1.1 which incorporates initial experience with lung cancer screening. In this review, we outline the implications of the changes and additions in Lung-RADS version 1.1 and examine relevant literature for many of the updates. We also highlight several challenges and opportunities as Lung-RADS version 1.1 is implemented in lung cancer screening programs.
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