ArticleBMJ open2022
Lung CAncer SCreening in French women using low-dose CT and Artificial intelligence for DEtection: the CASCADE study protocol.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05195385 (Lung Cancer Screening With Low-dose CT Scan in Women), which is not on this map. Cited by 12 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Lung Cancer Screening With Low-dose CT Scan in Women : Implementation Study
Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- ESR Essentials: lung cancer screening with low-dose CT-practice recommendations by the European Society of Thoracic Imaging.European radiology · 2026Guideline
- Time to Benefit for Lung Cancer Screening: A Systematic Review and Survival Meta-Analysis.American journal of preventive medicine · 2025Pooled it
- [Implementation of a national lung cancer screening in Austria : Position paper of the Austrian Radiological Society (ÖRG), the Austrian Society of Pneumology (ÖGP), the Austrian Society of General Practice and Family Medicine (ÖGAM) and the Austrian Society of Thoracic Surgery (ÖGTC)].Wiener klinische Wochenschrift · 2026Article
- Strategies for sustainable lung cancer screening: a multi-faceted perspective to long-term surveillance in SOLACE.Insights into imaging · 2026Article
- From aspiration to reality: a cross-country analysis of the implementation of lung cancer screening in Europe.Frontiers in public health · 2026Review
- Low dose CT for lung cancer screening.Journal of thoracic disease · 2025Article
- A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer.Cancers · 2025Review
- Strengthening lung cancer screening in Europe: fostering participation, improving outcomes, and addressing health inequalities through collaborative initiatives in the SOLACE consortium.Insights into imaging · 2024Article
- Beyond lung cancer screening, an opportunity for early detection of chronic obstructive pulmonary disease and cardiovascular diseases.JNCI cancer spectrum · 2024Article
- Study rationale and design of the PEOPLHE trial.La Radiologia medica · 2024Article
- Ten reasons to screen women at risk of lung cancer.Insights into imaging · 2023Article
- Artificial intelligence in thoracic imaging: the transition from research to practice.European radiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionLung cancer screening (LCS) using low-dose CT has been demonstrated to reduce lung cancer-related mortality in large randomised controlled trials. Moving from trials to practice requires answering practical questions about the level of expertise of CT readers, the need for double reading as in trials and the potential role of artificial intelligence (AI). In addition, most LCS studies have predominantly included male participants with women being under-represented, even though the benefit of screening is greater for them. Thus, this study aims to compare the performance of a single CT reading by general radiologists trained in LCS using AI as a second reader to that of a double reading by expert thoracic radiologists, in a campaign for low-dose CT screening in high-risk women. METHODS AND ANALYSIS: This observational cohort study will recruit 2400 asymptomatic women aged between 50 and 74 years, current or former smokers with at least a 20 pack-year smoking history, in 4 different French district areas. Assistance with smoking cessation will be offered to current smokers. An initial low-dose CT scan will be performed, with subsequent follow-ups at 1 year and 2 years. The primary objective is to compare CT scan readings by a single LCS-trained, AI-assisted radiologist to that of an expert double reading. The secondary objectives are: to evaluate the performance of AI as a stand-alone reader; the adherence to screening of female participants; the influence on smoking cessation; the psychological consequences of screening; the detection of chronic obstructive pulmonary disease (COPD), coronary artery disease and osteoporosis on low-dose CT scans and the costs incurred by screening. ETHICS AND DISSEMINATION: Ethics approval was obtained from the Comité de Protection des Personnes Sud-Est 1 (ethics approval number: 2021-A02265-36 with an amendment on 15 July 2022). Trial results will be disseminated at conferences, through relevant patient groups and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT05195385.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.