Abstract Objectives The objective of this study was to evaluate the imaging capabilities of chest digital tomosynthesis DT as a screening method for the detection of artificial pulmonary nodules, and to compare its efficiency with that of CT. Methods DT and CT were used to detect artificial pulmonary nodules 5 mm and 8 mm in diameter, ground-glass opacities placed in a chest phantom. Both standard and sharp CT reconstruction kernels were used, and the detectability index DI valves computed for both the DT scan acquisition angles and CT reconstruction kernel types were considered.
Full citation Abstract Chest tomosynthesis refers to the technique of acquiring a number of discrete projection images within a limited angular range around the patient. These projection images are then used to reconstruct section images of the chest.
Chest tomosynthesis might be a suitable alternative to CT in follow up of pulmonary nodules, which involves nodule size characterization and detection of nodule growth over time.
Tomosynthesis section images will contain artifacts due to the limited angular interval of the scan. For example, an in-plane artifact appears as darker areas around nodule borders.
There is a need for evaluating the influence of different parameters of a tomosynthesis examination on the resulting section images.
The overall aim of this thesis was to find optimal image acquisition parameters in chest tomosynthesis, both in terms of perceived image quality and pulmonary nodule size assessment.
In addition, it aims at contributing to a general evaluation of chest tomosynthesis in the task of follow up of nodules, and it includes an evaluation of the effect of the in-plane artifact on nodule size assessment.
Methods including participation of radiologists were used. A visual grading study was performed using an anthropomorphic phantom in order to find the optimal image acquisition parameters regarding perceived image quality.
In order to evaluate the quality of the images in terms of nodule measurement accuracy and precision, as well as to evaluate the possibility to detect nodule size change over time, the radiologists measured and visually evaluated the size of simulated pulmonary nodules inserted into clinical chest tomosynthesis images.
With the specific imaging system used, and at the standard dose level, potential benefits for perceived image quality of increasing the dose per projection image do not fully compensate for the negative effects of an accompanying reduction in the number of acquired projection images.
A minor negative effect on nodule measurement accuracy due to the presence of the in-plane artifact was found.
Results suggest that chest tomosynthesis is a promising imaging modality for detection of pulmonary nodule growth.
However, the possibility to detect growth may decrease with decreasing nodule sizes and dose level. Mismatch in nodule position relative to the reconstructed image planes between two consecutive chest tomosynthesis examinations can also hamper the detection.
In a future perspective, the results presented in this thesis should be confirmed using clinical chest tomosynthesis images including real pulmonary nodule Topics: Chest radiology, Chest tomosynthesis, Pulmonary nodule Year:The detection rate with tomosynthesis for all nodules was %; % of pulmonary nodules were indeterminate and larger than 5 mm.
Low-dosage CT was subsequently performed in subjects (%): 39 were false-positives (extrathoracic nodules, pleural plaques) and 93 had one or more than one lung nodules larger than 5 mm in size.
Digital tomosynthesis showed significantly improved potentially other pathologies) with chest tomosynthesis than with detection sensitivity for lung nodules in all three size groups, when conventional chest radiography.
Request PDF on ResearchGate | Pulmonary nodule size evaluation with chest tomosynthesis and CT: A phantom study | Objective: We compared digital tomosynthesis (TOMO) and chest CT in terms of. Objectives.
The objective of this study was to evaluate the imaging capabilities of chest digital tomosynthesis (DT) as a screening method for the detection of artificial pulmonary nodules, and to compare its efficiency with that of CT.
OBJECTIVE. The purpose of this study was the development and preliminary evaluation of multiprojection correlation imaging with 3D computer-aided detection (CAD) on chest radiographs for cost- and dose-effective improvement of early detection of pulmonary nodules.
Gomi et al., presents a comparative study of chest DES digital tomosynthesis and DES radiography with respect to their efficacy for detecting simulated pulmonary nodules with and without calcifications.
IQQA®-Chest - Customer Testimonials “The combined sensitivity of four radiologists for detecting small ( mm diameter) pulmonary nodules rose from % when the digital images were read without CAD (IQQA-Chest) to % when they were re-read with CAD aiding the interpretation.”. Dynamic Chest Radiography •Can detect abnormal regional ventilation •Has potential to show abnormal regional perfusion •Non-invasive and simple to perform Evaluation of Regional Pulmonary Airflow with a Dynamic Flat-Panel Detector R. Tanaka et al. RSNA Page 3 of 21 Chest CT scan A total of 48 phantom sets, composed of four nodule size types, six locations, and two imaging modalities were included in this study.
The statistical evaluation results indicated that digital tomosynthesis performed better in detecting nodules than DES .