Ultra-low dose CT for scaphoid fracture detection—a simulational approach to quantify the capability of radiation exposure reduction without diagnostic limitation

Keller, Gabriel; Hagen, Florian; Neubauer, Leoni; Rachunek, Katarzyna; Springer, Fabian; Kraus, M.

doi:10.21037/qims-21-1196

Cited by 2 publications

(2 citation statements)

References 41 publications

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“…Three-dimensional surgical planning in limb realignment surgery has become of increasing importance due to the growing automatization of planning protocols and decrease in radiation dose and costs [ 17 , 25 ]. Several studies have investigated the influence of the WB state on deformity measurements and also reported differences between 2D and 3D modalities [ 15 , 26 ].…”

Section: Discussionmentioning

confidence: 99%

Validation of a Three-Dimensional Weight-Bearing Measurement Protocol for Medial Open-Wedge High Tibial Osteotomy

Hodel,

Hasler,

Roth

et al. 2024

JCM

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Three-dimensional (3D) deformity assessment and leg realignment planning is emerging. The aim of this study was to (1) validate a novel 3D planning modality that incorporates the weight-bearing (WB) state (3D WB) by comparing it to existing modalities (3D non-weight-bearing (NWB), 2D WB) and (2) evaluate the influence of the modality (2D vs. 3D) and the WB condition on the measurements. Three different planning and deformity measurement protocols were analyzed in 19 legs that underwent medial open-wedge high tibial osteotomy (HTO): (1) a 3D WB protocol, after 2D/3D registration of 3D CT models onto the long-leg radiograph (LLR) (3D WB), (2) a 3D NWB protocol based on the 3D surface models obtained in the supine position (3D NWB), and (3) a 2D WB protocol based on the LLR (2D WB). The hip–knee–ankle angle (HKA), joint line convergence angle (JLCA), and the achieved surgical correction were measured for each modality and patient. All the measurement protocols demonstrated excellent intermodal agreement for the achieved surgical correction, with an ICC of 0.90 (95% CI: 0.76–0.96)) (p < 0.001). Surgical correction had a higher mean absolute difference compared to the 3D opening angle (OA) when measured with the WB protocols (3D WB: 2.7 ± 1.8°, 3D NWB: 1.9 ± 1.3°, 2D WB: 2.2 ± 1.3°), but it did not show statistical significance. The novel planning modality (3D WB) demonstrated excellent agreement when measuring the surgical correction after HTO compared to existing modalities.

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Section: Discussionmentioning

confidence: 99%

Validation of a Three-Dimensional Weight-Bearing Measurement Protocol for Medial Open-Wedge High Tibial Osteotomy

Hodel,

Hasler,

Roth

et al. 2024

JCM

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“…However, the high level of accumulated radiation exposure from a CT examination and the risk of radiation-induced cancer and genetic or other diseases is of a significant concern to patients and operators. Minimizing X-ray exposure to patients has been one of the major efforts undertaken in the CT field ( 2 , 3 ). As the tube current [milliampere-seconds (mAs)] is linearly related to the radiation dose, a reduction in mAs is perhaps the simplest and most effective way to reduce radiation exposure.…”

Section: Introductionmentioning

confidence: 99%

Structure-preserving low-dose computed tomography image denoising using a deep residual adaptive global context attention network

Zhang,

Hao,

Lin

et al. 2023

Quant Imaging Med Surg

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Background Low-dose computed tomography (LDCT) scans can effectively reduce the radiation damage to patients, but this is highly detrimental to CT image quality. Deep convolutional neural networks (CNNs) have shown their potential in improving LDCT image quality. However, the conventional CNN-based approaches rely fundamentally on the convolution operations, which are ineffective for modeling the correlations among nonlocal similar structures and the regionally distinct statistical properties in CT images. This modeling deficiency hampers the denoising performance for CT images derived in this manner. Methods In this paper, we propose an adaptive global context (AGC) modeling scheme to describe the nonlocal correlations and the regionally distinct statistics in CT images with negligible computation load. We further propose an AGC-based long-short residual encoder-decoder (AGC-LSRED) network for efficient LDCT image noise artifact-suppression tasks. Specifically, stacks of residual AGC attention blocks (RAGCBs) with long and short skip connections are constructed in the AGC-LSRED network, which allows valuable structural and positional information to be bypassed through these identity-based skip connections and thus eases the training of the deep denoising network. For training the AGC-LSRED network, we propose a compound loss that combines the L 1 loss, adversarial loss, and self-supervised multi-scale perceptual loss. Results Quantitative and qualitative experimental studies were performed to verify and validate the effectiveness of the proposed method. The simulation experiments demonstrated the proposed method exhibits the best result in terms of noise suppression [root-mean-square error (RMSE) =9.02; peak signal-to-noise ratio (PSNR) =33.17] and fine structure preservation [structural similarity index (SSIM) =0.925] compared with other competitive CNN-based methods. The experiments on real data illustrated that the proposed method has advantages over other methods in terms of radiologists’ subjective assessment scores (averaged scores =4.34). Conclusions With the use of the AGC modeling scheme to characterize the structural information in CT images and of residual AGC-attention blocks with long and short skip connections to ease the network training, the proposed AGC-LSRED method achieves satisfactory results in preserving fine anatomical structures and suppressing noise in LDCT images.

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Ultra-low dose CT for scaphoid fracture detection—a simulational approach to quantify the capability of radiation exposure reduction without diagnostic limitation

Cited by 2 publications

References 41 publications

Validation of a Three-Dimensional Weight-Bearing Measurement Protocol for Medial Open-Wedge High Tibial Osteotomy

Validation of a Three-Dimensional Weight-Bearing Measurement Protocol for Medial Open-Wedge High Tibial Osteotomy

Structure-preserving low-dose computed tomography image denoising using a deep residual adaptive global context attention network

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