Luo, Ma Chen, Guoming Xie, Hui Zhang, Rong Yang, Ping Nie, Runcong Zhou, Zhiwei Gao, Fei Chen, Yongming Xie, Chuanmiao
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Published in
European radiology
There still remain challenges to accurate diagnosis of lymph node (LN) involvement in gastric cancer (GC) on conventional CT. This study evaluated the quantitative data derived from dual-layer spectral detector CT (DLCT) for preoperative diagnosis of metastatic LNs compared to conventional CT images. Patients with adenocarcinoma scheduled for gastr...
Zhao, Qingqing Feng, Quanlong Zhang, Jianlun Xu, Jingxu Wu, Zifeng Huang, Chencui Yuan, Huishu
Published in
Journal of shoulder and elbow surgery
The best-fitting circle drawn by computed tomography (CT) reconstruction of the en face view of the glenoid bone to measure the bone defect is widely used in clinical application. However, there are still some limitations in practical application, which can prevent the achievement of accurate measurements. This study aimed to accurately and automat...
Salimi, Yazdan Akhavanallaf, Azadeh Mansouri, Zahra Shiri, Isaac Zaidi, Habib
Published in
European radiology
We propose a deep learning-guided approach to generate voxel-based absorbed dose maps from whole-body CT acquisitions. The voxel-wise dose maps corresponding to each source position/angle were calculated using Monte Carlo (MC) simulations considering patient- and scanner-specific characteristics (SP_MC). The dose distribution in a uniform cylinder ...
Ohashi, Kohei Nagatani, Yukihiro Yoshigoe, Makoto Iwai, Kyohei Tsuchiya, Keiko Hino, Atsunobu Kida, Yukako Yamazaki, Asumi Ishida, Takayuki
Published in
Journal of digital imaging
Image quality assessments (IQA) are an important task for providing appropriate medical care. Full-reference IQA (FR-IQA) methods, such as peak signal-to-noise ratio (PSNR) and structural similarity (SSIM), are often used to evaluate imaging conditions, reconstruction conditions, and image processing algorithms, including noise reduction and super-...
Candemir, Sema Moranville, Robert Wong, Kelvin A Campbell, Warren Bigelow, Matthew T Prevedello, Luciano M Makary, Mina S
Published in
Journal of digital imaging
Two data-driven algorithms were developed for detecting and characterizing Inferior Vena Cava (IVC) filters on abdominal computed tomography to assist healthcare providers with the appropriate management of these devices to decrease complications: one based on 2-dimensional data and transfer learning (2D + TL) and an augmented version of the same a...
Yano, Ryo Hirooka, Masashi Koizumi, Yohei Nakamura, Yoshiko Imai, Yusuke Morita, Makoto Okazaki, Yuki Watanabe, Takao Yoshida, Osamu Tokumoto, Yoshio
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Published in
Hepatology international
The chronological pattern of extrahepatic lymphatic vessel progression in the course of chronic liver disease has not been clarified. This study aimed to clarify the chronological changes in lymphatic vessels with liver disease progression. This was a prospective cross-sectional study that enrolled a total of 199 patients. The maximum diameter of t...
Duygulu, Gokhan
Published in
Sleep & breathing = Schlaf & Atmung
Obstructive sleep apnea (OSA) is a common clinical condition in which the upper airway partially or completely narrows or collapses during sleep. The objective of our research was to examine the relation between the abnormal internal carotid artery (ICA) and the pharyngeal wall among individuals suffering from OSA, and to compare it to a group of c...
Chu, Bingqian Gan, Lu Shen, Yi Song, Jian Liu, Ling Li, Jianying Liu, Bin
Published in
Journal of digital imaging
This study aimed to compare the performance of deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction-Veo (ASIR-V) in improving image quality and diagnostic performance using virtual monochromatic spectral images in abdominal dual-energy computed tomography (DECT). Sixty-two patients [mean age ± standard deviati...
Sebro, Ronnie De la Garza-Ramos, Cynthia Peterson, Jeffrey J
Published in
International journal of computer assisted radiology and surgery
One or more vertebrae are sometimes excluded from dual-energy X-ray absorptiometry (DXA) analysis if the bone mineral density (BMD) T-score estimates are not consistent with the other lumbar vertebrae BMD T-score estimates. The goal of this study was to build a machine learning framework to identify which vertebrae would be excluded from DXA analys...
Goller, Sophia S Foreman, Sarah C Rischewski, Jon F Weißinger, Jürgen Dietrich, Anna-Sophia Schinz, David Stahl, Robert Luitjens, Johanna Siller, Sebastian Schmidt, Vanessa F
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Published in
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
To assess the diagnostic performance of three-dimensional (3D) CT-based texture features (TFs) using a convolutional neural network (CNN)-based framework to differentiate benign (osteoporotic) and malignant vertebral fractures (VFs). A total of 409 patients who underwent routine thoracolumbar spine CT at two institutions were included. VFs were cat...
