scholarly journals Tomosynthesis in pediatrics: a retrospective of its application in the world practice and own data

2021 ◽  
Vol 12 (3) ◽  
pp. 104-111
Author(s):  
Hilda Y. Simonovskaya ◽  
Nataliya A. Sholokhova ◽  
Olga V. Zaytseva

Tomosynthesis is a modern effective and informative method of low-dose X-ray diagnostics, which allows obtaining a significant number of layered images with the subsequent volumetric image reconstruction. The use of tomosynthesis provides a one-time examination of a large anatomical area without loss of the image quality and diagnostics of difficult-to-visualize pathological changes that are not detected by digital radiography. The article presents an overview of the problem of improving low-dose imaging options in the radiation diagnostics, as well as the authors own data on the use of tomosynthesis for the diagnosis of community-acquired pneumonia in children.

2021 ◽  
Vol 94 (1121) ◽  
pp. 20201329
Author(s):  
Yoshifumi Noda ◽  
Tetsuro Kaga ◽  
Nobuyuki Kawai ◽  
Toshiharu Miyoshi ◽  
Hiroshi Kawada ◽  
...  

Objectives: To evaluate image quality and lesion detection capabilities of low-dose (LD) portal venous phase whole-body computed tomography (CT) using deep learning image reconstruction (DLIR). Methods: The study cohort of 59 consecutive patients (mean age, 67.2 years) who underwent whole-body LD CT and a prior standard-dose (SD) CT reconstructed with hybrid iterative reconstruction (SD-IR) within one year for surveillance of malignancy were assessed. The LD CT images were reconstructed with hybrid iterative reconstruction of 40% (LD-IR) and DLIR (LD-DLIR). The radiologists independently evaluated image quality (5-point scale) and lesion detection. Attenuation values in Hounsfield units (HU) of the liver, pancreas, spleen, abdominal aorta, and portal vein; the background noise and signal-to-noise ratio (SNR) of the liver, pancreas, and spleen were calculated. Qualitative and quantitative parameters were compared between the SD-IR, LD-IR, and LD-DLIR images. The CT dose-index volumes (CTDIvol) and dose-length product (DLP) were compared between SD and LD scans. Results: The image quality and lesion detection rate of the LD-DLIR was comparable to the SD-IR. The image quality was significantly better in SD-IR than in LD-IR (p < 0.017). The attenuation values of all anatomical structures were comparable between the SD-IR and LD-DLIR (p = 0.28–0.96). However, background noise was significantly lower in the LD-DLIR (p < 0.001) and resulted in improved SNRs (p < 0.001) compared to the SD-IR and LD-IR images. The mean CTDIvol and DLP were significantly lower in the LD (2.9 mGy and 216.2 mGy•cm) than in the SD (13.5 mGy and 1011.6 mGy•cm) (p < 0.0001). Conclusion: LD CT images reconstructed with DLIR enable radiation dose reduction of >75% while maintaining image quality and lesion detection rate and superior SNR in comparison to SD-IR. Advances in knowledge: Deep learning image reconstruction algorithm enables around 80% reduction in radiation dose while maintaining the image quality and lesion detection compared to standard-dose whole-body CT.


2009 ◽  
Vol 36 (6Part21) ◽  
pp. 2713-2713
Author(s):  
E Christodoulou ◽  
M Goodsitt ◽  
B Bailey ◽  
R Young

1999 ◽  
Vol 119 (11) ◽  
pp. 1383-1391
Author(s):  
Kenji Suzuki ◽  
Tatsuya Hayashi ◽  
Shigeyuki Ikeda ◽  
Isao Horiba ◽  
Noboru Sugie ◽  
...  

2014 ◽  
Vol 22 (12) ◽  
pp. 15190 ◽  
Author(s):  
Yang Gao ◽  
Zhaoying Bian ◽  
Jing Huang ◽  
Yunwan Zhang ◽  
Shanzhou Niu ◽  
...  

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