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Influence of CT Image Matrix Size and Kernel Type on the Assessment of HRCT in Patients with SSC-ILD
| Content Provider | MDPI |
|---|---|
| Author | Christian, Blüthgen Bettina, Bässler Amad, éa Schönenberger Balmer, Bettina D. Martini, Katharina Huber, Florian A. Ruby, Lisa Frauenfelder, Thomas |
| Copyright Year | 2022 |
| Description | Background: Interstitial lung disease (ILD) is a frequent complication of systemic sclerosis (SSc), and its early detection and treatment may prevent deterioration of lung function. Different vendors have recently made larger image matrices available as a post-processing option for computed tomography (CT), which could facilitate the diagnosis of SSc-ILD. Therefore, the objective of this study was to assess the effect of matrix size on lung image quality in patients with SSc by comparing a 1024-pixel matrix to a standard 512-pixel matrix and applying different reconstruction kernels. Methods: Lung scans of 50 patients (mean age 54 years, range 23–85 years) with SSc were reconstructed with these two different matrix sizes, after determining the most appropriate kernel in a first step. Four observers scored the images on a five-point Likert scale regarding image quality and detectability of clinically relevant findings. Results: Among the eight tested kernels, the Br59-kernel (sharp) reached the highest score (19.48 ± 3.99), although differences did not reach statistical significance. The 1024-pixel matrix scored higher than the 512-pixel matrix HRCT overall (p = 0.01) and in the subcategories sharpness (p < 0.01), depiction of bronchiole (p < 0.01) and overall image impression (p < 0.01), and lower for the detection of ground-glass opacities (GGO) (p = 0.04). No significant differences were found for detection of extent of reticulations/bronchiectasis/fibrosis (p = 0.50) and image noise (p = 0.09). Conclusions: Our results show that with the use of a sharp kernel, the 1024-pixel matrix HRCT, provides a slightly better subjective image quality in terms of assessing interstitial lung changes, whereby GGO are more visible on the 512-pixel matrix. However, it remains to be answered to what extent this is related to the improved representation of the smallest structures. |
| Starting Page | 1662 |
| e-ISSN | 20754418 |
| DOI | 10.3390/diagnostics12071662 |
| Journal | Diagnostics |
| Issue Number | 7 |
| Volume Number | 12 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-07-08 |
| Access Restriction | Open |
| Subject Keyword | Diagnostics Respiratory System Computed Tomography (ct) Matrix Size 1024 × 1024 Pixel Systemic Sclerosis (ssc) Interstitial Lung Disease (ild) Kernel |
| Content Type | Text |
| Resource Type | Article |
