Rationale: Pulmonary nodules are common incidental findings, but information about their incidence in the era of computed tomography (CT) is lacking.

Objectives: To examine recent trends in pulmonary nodule identification.

Methods: We used electronic health records and natural language processing to identify members of an integrated health system who had nodules measuring 4 to 30 mm. We calculated rates of chest CT imaging, nodule identification, and receipt of a new lung cancer diagnosis within 2 years of nodule identification, and standardized rates by age and sex to estimate the frequency of nodule identification in the U.S. population in 2010.

Measurements And Main Results: Between 2006 and 2012, more than 200,000 adult members underwent 415,581 chest CT examinations. The annual frequency of chest CT imaging increased from 1.3 to 1.9% for all adult members, whereas the frequency of nodule identification increased from 24 to 31% for all scans performed. The annual rate of chest CT increased from 15.4 to 20.7 per 1,000 person-years, and the rate of nodule identification increased from 3.9 to 6.6 per 1,000 person-years, whereas the rate of a new lung cancer diagnosis remained stable. By extrapolation, more than 4.8 million Americans underwent at least one chest CT scan and 1.57 million had a nodule identified, including 63,000 who received a new lung cancer diagnosis within 2 years.

Conclusions: Incidental pulmonary nodules are an increasingly common consequence of routine medical care, with an incidence that is much greater than recognized previously. More frequent nodule identification has not been accompanied by increases in the diagnosis of cancerous nodules.

Download full-text PDF

Source
http://dx.doi.org/10.1164/rccm.201505-0990OCDOI Listing

Publication Analysis

Top Keywords

nodule identification
24
pulmonary nodules
12
lung cancer
12
cancer diagnosis
12
incidental pulmonary
8
nodule
8
chest imaging
8
frequency nodule
8
adult members
8
identification increased
8

Similar Publications

Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis.

J Med Internet Res

January 2025

Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.

Background: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accuracy of AI systems in identifying and measuring lung nodules on chest computed tomography (CT) scans remains unclear, which requires further evaluation.

View Article and Find Full Text PDF

[Retrospective analysis in children with vaccination granuloma].

Dermatologie (Heidelb)

February 2025

Department of Dermatology and Allergy, Klinikum rechts der Isar, Technical University, München, Deutschland.

Background: Vaccine granulomas are a common (0.3-1%) adverse event (AE) of (accidentally) subcutaneously administered vaccines and specific immunotherapies containing aluminum conjugates. The clinical symptoms with persistent itching subcutaneous nodules, predominantly affect infants and young children on the lateral thigh.

View Article and Find Full Text PDF

Background: Hepatocellular carcinoma (HCC) encompasses rare variants like chromophobe hepatocellular carcinoma (CHCC) characterized by distinct histological features and molecular profiles.

Case Report: A 56-year-old male with chronic hepatitis C, presenting pain in the right hypochondrium. Imaging revealed a solitary liver lesion, subsequently resected and histologically diagnosed as HCC.

View Article and Find Full Text PDF

Background: Sometimes, the identification of ground-glass opacities (GGOs), small or deep pulmonary nodules can be difficult also in expert hands. Usually for these lesions pulmonary lobectomy is an overtreatment, so we developed a technique to identify easily these nodules. The objective of this research is to assess the effectiveness and safety of using preoperative cone beam computed tomography (CBCT) to guide the placement of micro-coils in the lung parenchyma near GGO and small lesions.

View Article and Find Full Text PDF

Background: When papillary thyroid carcinoma (PTC) is accompanied by Hashimoto's thyroiditis (HT), it is often challenging for preoperative ultrasound to distinguish between central lymph node enlargement caused by PTC metastasis and inflammatory reaction due to HT. However, central lymph node metastasis (CLNM) is closely associated with the risk of PTC recurrence after surgery. In this study, we developed a model to predict in patients with PTC combined with HT, based on conventional ultrasound characteristics and shear wave elastography (SWE) quantitative parameters of the primary lesion.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!