Purpose: Retrospective evaluation of computer-aided detection software (CAD) for automated detection (LungCAD, Siemens Medical solutions, Forchheim, Germany) and volumetry (LungCARE) of pulmonary nodules in dose-reduced pediatric MDCT.
Materials And Methods: 30 scans of 24 children (10.4+/-5.9 years, 13 girls, 11 boys, 39.7+/-29.3 kg body weight) were performed on a 16-MDCT for tumor staging (n=18), inflammation (n=9), other indications (n=3). Tube voltage 120 kVp and effective mAs were adapted to body weight. Slice thickness 2 mm, increment 1 mm. A pediatric radiologist (U1), a CAD expert (U2) and an inexperienced radiologist (U3) independently analyzed the lung window images without and with the CAD as a second reader. In a consensus decision U 1 and U 2 were the reference standard.
Results: Five examinations had to be excluded from the study due to other underlying lung disease. A total of 24 pulmonary nodules were found in all data sets with a minimal diameter of 0.35 mm to 3.81 mm (mean 1.7+/-0.85 mm). The sensitivities were as follows: U1 95.8% and 100% with CAD; U2 91.7% U3 66.7%. U2 and U3 did not detect further nodules with CAD. The sensitivity of CAD alone was 41.7 % with 0.32 false-positive findings per examination. Interobserver agreement between U1 / U2 regarding nodule detection with CAD was good (k=0.6500) and without CAD very good (k=0.8727). For the rest (U1 /U3; U2 / U3 with and without CAD), it was weak (k=0.0667-0.1884). Depending on the measured value (axial measurement, volume), there is a significant correlation (p=0.0026-0.0432) between nodule size and CAD detection. Undetected pulmonary nodules (mean 1.35 mm; range 0.35-2.61 mm) were smaller than the detected ones (mean 2.19 mm; range 1.35-3.81 mm). No significant correlation was found between CAD findings and patient age (p=0.9263) and body weight (p=0.9271) as well as nodule location (subpleural, intraparenchymal; p=1.0) and noise/SNR.
Conclusion: In our study with 2 mm slice thickness and very small lesion sizes, the analyzed CAD algorithm for detection and volumetry of pulmonary nodules has limited application in pediatric dose-reduced 16-MDCTs. Determination of lesion size is possible even in the case of false-negatives.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1055/s-2008-1027285 | DOI Listing |
J Clin Med
January 2025
Cardiology Unit, Azienda Ospedaliero Universitaria di Ferrara, 44124 Ferrara, Italy.
The detection of unexpected findings (UF) during CT scans of patients undergoing TAVR is frequent; however, it is unclear whether such findings have a clinical impact on the TAVR pathway. We conducted a retrospective, single-center observational study enrolling patients who were candidates for TAVR. All enrolled patients underwent a CT scan before valve implantation.
View Article and Find Full Text PDFJ Clin Med
January 2025
Translational Research Unit, Hospital Universitario Miguel Servet, IIS Aragón, 50009 Zaragoza, Spain.
Lung cancer is the primary cause of cancer-related deaths. Most patients are typically diagnosed at advanced stages. Low-dose computed tomography (LDCT) has been proven to reduce lung cancer mortality, but screening programs using LDCT are associated with a high number of false positives and unnecessary thoracotomies.
View Article and Find Full Text PDFLife (Basel)
December 2024
Department of Functional Science, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Background And Objectives: Lung cancer screening is critical for early detection and management, particularly through the use of computed tomography (CT). This study aims to compare the Lung Imaging Reporting and Data System (Lung-RADS) Version 2022 with the British Thoracic Society (BTS) guidelines in classifying solid pulmonary nodules detected at lung cancer screening CT examinations.
Materials And Methods: This retrospective study included 224 patients who underwent lung cancer screening CT between 2016 and 2022 and had a reported solid pulmonary nodule.
Biomedicines
January 2025
Center for Research and Innovation in Precision Medicine of Respiratory Diseases, Victor Babes University of Medicine and Pharmacy, 300041 Timisoara, Romania.
: The current study aimed to compare the effectiveness of the Lung Imaging Reporting and Data System (Lung-RADS) Version 2022 and the British Thoracic Society (BTS) guidelines in differentiating lung metastases from de novo primary lung cancer on CT scans in patients without prior cancer diagnosis. : This retrospective study included 196 patients who underwent chest CT scans between 2015 and 2022 without a known history of cancer but with detected pulmonary nodules. CT images characterized nodules based on size, number, location, margins, attenuation, and growth patterns.
View Article and Find Full Text PDFTumori
January 2025
Department of Thoracic Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Objective: we compared and analyzed the imaging features, tumor markers, pathological immunohistochemistry, and lymph node metastasis rates of solitary and multiple lung adenocarcinoma to provide a valuable reference for clinical diagnosis and treatment.
Methods: A retrospective analysis of 212 patients who underwent thoracic surgery in our hospital from 2022 to 2023, including 149 patients with a solitary lung adenocarcinoma nodule and 63 patients with multiple primary nodules. Via propensity score matching, the imaging features, tumor serological markers, pathological immunohistochemistry, and lymph node metastasis rates of the two groups were compared, and the differences in lymph node metastasis rates between solitary and multiple nodules were explored by binary logistic regression.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!