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Radiology – Thorax

Retrospective Study: AI Tool Accurately Excludes Pathology in Up to 52.7% of Unremarkable Chest Radiographs with Low Critical Misses – Radiology

24 Aug, 2024 | 16:14h | UTC

Study Design and Population: This retrospective study assessed the effectiveness of a commercial AI tool in correctly identifying unremarkable chest radiographs, thus potentially reducing the workload in radiology departments. The study analyzed 1,961 chest radiographs from adult patients (median age: 72 years) across four Danish hospitals. The radiographs were labeled as remarkable or unremarkable by thoracic radiologists, and the AI tool’s performance was evaluated at varying sensitivity thresholds.

Main Findings: The AI tool demonstrated a specificity of 24.5% to 52.7% at sensitivity thresholds of 99.9% to 98.0%, respectively, effectively excluding pathology in unremarkable chest radiographs. At sensitivities of 95.4% or higher, the AI had equal or lower rates of critical misses compared to radiology reports, with the AI missing only 2.2% of critical findings compared to 1.1% by radiologists at similar sensitivity levels.

Implications for Practice: The results suggest that AI tools could autonomously report up to 52.7% of unremarkable chest radiographs, potentially reducing radiologist workload without compromising patient safety. However, prospective studies are necessary to confirm these findings and optimize AI deployment in clinical practice.

Reference: Plesner LL, Müller FC, Brejnebøl MW, et al. (2024). Using AI to Identify Unremarkable Chest Radiographs for Automatic Reporting. Radiology, 312(2), e240272. DOI: https://doi.org/10.1148/radiol.240272

 


Retrospective Cohort Study: Rheumatoid Arthritis Linked to Over 50% Increased Lung Cancer Risk, with a Three-Fold Risk in RA-Associated Interstitial Lung Disease – Arthritis Rheumatol

18 Aug, 2024 | 18:58h | UTC

Study Design and Population: This retrospective matched cohort study examined the risk of lung cancer in 72,795 patients with rheumatoid arthritis (RA) and 757 patients with RA-associated interstitial lung disease (RA-ILD) from the Veterans Health Administration database, compared with 633,937 non-RA controls. The study spanned from 2000 to 2019, with patients matched on age, gender, and enrollment year.

Main Findings: The study found that RA was associated with a 58% increase in lung cancer risk (adjusted hazard ratio [aHR] 1.58). The risk was significantly higher in RA-ILD patients, with a more than three-fold increase (aHR 3.25) compared to non-RA controls. Even among never smokers, RA patients showed a 65% increased lung cancer risk, indicating that factors beyond smoking contribute to the elevated risk.

Implications for Practice: The study underscores the significant increase in lung cancer risk among patients with RA, particularly those with RA-ILD. While this elevated risk is notable, further research is necessary to determine the most effective strategies for monitoring and managing this risk. Clinicians should be aware of these findings and consider them when evaluating the overall health and risk factors of patients with RA, especially those with additional pulmonary complications like ILD. Enhanced awareness and individualized risk assessments may help in early detection and management of lung cancer in this high-risk population.

Reference: Brooks RT, Luedders B, Wheeler A, et al. (2024). The Risk of Lung Cancer in Rheumatoid Arthritis and Rheumatoid Arthritis–Associated Interstitial Lung Disease. Arthritis & Rheumatology, 0(0), 1-9. DOI: 10.1002/art.42961.

 


Study Shows High Prevalence of Solid Lung Nodules in Nonsmoking Adults – Radiology

14 Aug, 2024 | 13:14h | UTC

Study Design and Population: This cohort study examined the prevalence and size distribution of solid lung nodules in a nonsmoking population from the Northern Netherlands. A total of 10,431 participants aged 45 years and older, predominantly nonsmokers, were included in the Imaging in Lifelines (ImaLife) study. The study utilized low-dose chest CT scans to detect and measure lung nodules.

Main Findings: Lung nodules were present in 42% of participants, with a higher prevalence in males (47.5%) than females (37.7%). The prevalence of clinically relevant nodules (≥100 mm³) was 11.1%, and actionable nodules (≥300 mm³) were found in 2.3% of individuals. Both prevalence and nodule size increased with age, and male participants consistently showed a higher prevalence and larger nodule sizes compared to females.

Implications for Practice: While 42% of nonsmoking adults in this Northern European cohort were found to have solid lung nodules, the incidence of lung cancer within this population is notably low. This suggests that many of the clinically relevant and even actionable nodules identified in nonsmokers are likely benign. These findings highlight the need to refine nodule management strategies for individuals at low risk of lung cancer, potentially reducing unnecessary follow-up and interventions in nonsmoking populations. Future research on lung cancer outcomes in this cohort could further inform and optimize guidelines for nodule management in low-risk groups.

Reference: Cai, J., Vonder, M., Pelgrim, G. J., Rook, M., Kramer, G., Groen, H. J. M., de Bock, G. H., & Vliegenthart, R. (2024). Distribution of solid lung nodules: Presence and size by age and sex in a Northern European nonsmoking population. Radiology, 312(2), e231436. DOI: 10.1148/radiol.231436.

 


Pictorial Review | Watch out for the early killers: imaging diagnosis of thoracic trauma

9 Aug, 2023 | 15:02h | UTC

Watch Out for the Early Killers: Imaging Diagnosis of Thoracic Trauma – Korean Journal of Radiology

 


Pictorial Review | Occupational lung diseases: spectrum of common imaging manifestations

9 Aug, 2023 | 14:51h | UTC

Occupational Lung Diseases: Spectrum of Common Imaging Manifestations – Korean Journal of Radiology

 


Study | AI use in lung cancer screening enhances prediction of lung cancer death, CVD death, and all-cause death

1 Aug, 2023 | 14:31h | UTC

AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection – Radiology (free for a limited period)

Commentary: Study: AI Assessment of Chest CT May Predict Multiple Mortality Risks – Diagnostic Imaging

 


Study | New deep learning model effectively detects type 2 diabetes from chest X-rays

28 Jul, 2023 | 14:15h | UTC

Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs – Nature Communications

 

Commentary on Twitter

 


Consensus Paper | Lung ultrasound in acute and chronic heart failure

24 Jul, 2023 | 13:06h | UTC

Lung ultrasound in acute and chronic heart failure. A Clinical Consensus Statement of the European Association of Cardiovascular Imaging (EACVI) – European Heart Journal – Cardiovascular Imaging

 


Review | CT and chest radiography in evaluation of mechanical circulatory support devices for acute heart failure

18 Jul, 2023 | 13:28h | UTC

CT and chest radiography in evaluation of mechanical circulatory support devices for acute heart failure – Insights into Imaging

 


Clinical insights into small cell lung cancer: tumor heterogeneity, diagnosis, therapy, and future directions

26 Jun, 2023 | 00:31h | UTC

Clinical insights into small cell lung cancer: Tumor heterogeneity, diagnosis, therapy, and future directions – CA: A Cancer Journal for Clinicians

 


Cohort study | Airway-occluding mucus plugs in chest CT linked to higher mortality rates in COPD patients

29 May, 2023 | 11:10h | UTC

Airway-Occluding Mucus Plugs and Mortality in Patients With Chronic Obstructive Pulmonary Disease – JAMA (free for a limited period)

News Release: Study linking mucus plugs and COPD mortality could help save lives – Brigham and Women’s Hospital

 


M-A | Prevalence, imaging patterns and risk factors of interstitial lung disease in connective tissue disease

24 Mar, 2023 | 13:02h | UTC

Prevalence, imaging patterns and risk factors of interstitial lung disease in connective tissue disease: a systematic review and meta-analysis – European Respiratory Review

 


Review | Commonly missed findings on chest radiographs: causes and consequences

13 Mar, 2023 | 15:07h | UTC

Commonly Missed Findings on Chest Radiographs: Causes and Consequences – CHEST (free for a limited period)

See also: Reducing Errors Resulting From Commonly Missed Chest Radiography Findings – CHEST (free for a limited period)

 


Review | Reducing errors resulting from commonly missed chest radiography findings

13 Mar, 2023 | 15:06h | UTC

Reducing Errors Resulting From Commonly Missed Chest Radiography Findings – CHEST (free for a limited period)

See also: Commonly Missed Findings on Chest Radiographs: Causes and Consequences – CHEST (free for a limited period)

 


Study shows potential for autonomous reporting of normal chest radiographs using artificial intelligence

13 Mar, 2023 | 14:41h | UTC

Autonomous Chest Radiograph Reporting Using AI: Estimation of Clinical Impact – Radiology

News Release: AI accurately identifies normal and abnormal chest x-rays – Radiological Society of North America

Commentary: AI Has High Sensitivity for Abnormal Chest Radiographs – HealthDay

 

Commentary on Twitter

 


Cohort Study | One third of patients hospitalized with Covid-19 persist with lung abnormalities after 2 years

21 Feb, 2023 | 11:47h | UTC

Summary: The study aimed to assess changes in chest CT abnormalities and pulmonary function in patients two years after recovery from SARS-CoV-2 infection. The prospective study followed 144 participants discharged from the hospital after SARS-CoV-2 infection between January 15 and March 10, 2020. The participants underwent serial chest CT scans and pulmonary function tests at 6 months, 12 months, and 2 years after symptom onset. The study found that 39% of participants had persistent interstitial lung abnormalities at 2 years, and this was associated with respiratory symptoms and decreased diffusion pulmonary function.

Article: Longitudinal Assessment of Chest CT Findings and Pulmonary Function in Patients after COVID-19 – Radiology

Editorial: Radiologic Findings after COVID-19 and the Correlation with Lung Function – Radiology

Commentaries:

Post-COVID-19 CT scans show lung abnormalities persist two years later – News Medical

COVID’s aftermath: Persistent organ damage at 1 year, lung abnormalities at 2 – CIDRAP

 


RCT | AI improves nodule detection on chest radiographs in a health screening population

10 Feb, 2023 | 13:55h | UTC

AI Improves Nodule Detection on Chest Radiographs in a Health Screening Population: A Randomized Controlled Trial – Radiology

Editorial: AI Nodule Detection on Chest Radiographs Using Randomized Controlled Data: The Effect on Clinical Practice – Radiology

News Release: AI Improves Lung Nodule Detection on Chest X-Rays – RSNA News

 


Review | Current and emerging knowledge of diagnostic imaging in COVID-19

2 Feb, 2023 | 15:04h | UTC

Current and Emerging Knowledge in COVID-19 – Radiology

See also:

Long-term Lung Abnormalities Associated with COVID-19 Pneumonia – Radiology

An Integrated Radiologic-Pathologic Understanding of COVID-19 Pneumonia – Radiology

 


Pulmonary fibrosis related to amiodarone — is it a standard pathophysiological pattern? A case-based literature review

2 Feb, 2023 | 14:39h | UTC

Pulmonary Fibrosis Related to Amiodarone—Is It a Standard Pathophysiological Pattern? A Case-Based Literature Review – Diagnostics

 


Retrospective Cohort | Incidental coronary artery calcification on non-gated CT thorax correlates with risk of CV events and death

31 Jan, 2023 | 13:51h | UTC

Incidental coronary artery calcification on non-gated CT thorax correlates with risk of cardiovascular events and death – European Radiology

 


Machine learning in radiology: the new frontier in interstitial lung diseases

10 Jan, 2023 | 14:08h | UTC

Machine learning in radiology: the new frontier in interstitial lung diseases – The Lancet Digital Health

 


International guidelines and consensus on the use of lung ultrasound.

21 Nov, 2022 | 14:30h | UTC

New International Guidelines and Consensus on the Use of Lung Ultrasound – Journal of Ultrasound Medicine 

 


Guidelines for point-of-care ultrasound: part one (common heart and pulmonary applications).

17 Oct, 2022 | 12:32h | UTC

EFSUMB Clinical Practice Guidelines for Point-of-Care Ultrasound: Part One (Common Heart and Pulmonary Applications) LONG VERSION – Ultraschall in der Medizin

 


Review | The many faces of cryptogenic organizing pneumonia.

30 Sep, 2022 | 12:40h | UTC

The many faces of cryptogenic organizing pneumonia (COP) – Journal of Clinical Imaging Science

 


Study suggests AI improves chest X-ray interpretation.

6 Sep, 2022 | 14:38h | UTC

Commentary: Study Suggests AI Improves Chest X-Ray Interpretation – Diagnostic Imaging

Original Study: Association of Artificial Intelligence–Aided Chest Radiograph Interpretation With Reader Performance and Efficiency – JAMA Network Open

 

Commentary on Twitter

 


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