Aim: Prostate contouring using CT alone is difficult. To overcome the uncertainty, CT/MRI registration using a fiducial marker is generally performed. However, visualization of the marker itself can be difficult with MRI. This study aimed to determine the optimal MRI pulse sequence for defining the marker as well as the prostate outline among five sequences.
Materials And Methods: A total of 21 consecutive patients with prostate cancer were enrolled. Two gold fiducial markers were placed before CT/MRI examination. We used the following five sequences: T1-weighted spin-echo (T1WI; TR/TE, 400-650/8 ms); T2-weighted fast spin-echo (T2WI; 4000/80); T2*-2D-weighted gradient echo (T2*2D; 700/18); T2*-3D-weighted gradient echo (T2*3D; TR/TE1/deltaTE, 37/14/7.3); and contrast-enhanced T1-weighted spin-echo (CE-T1WI; 400-650/8). Qualitative image analysis of the sequences was performed by three observers. These observers subjectively scored all images on a scale of 1-3 (1 = unclear, 2 = moderate, 3 = well visualized). A higher score indicated better visualization.
Results: T2WI was significantly superior to the other sequences in terms of prostate definition. T2*2D and T2*3D were strongly superior to the other sequences and were significantly superior in terms of fiducial marker definition.
Conclusions: T2*2D and T2*3D are superior to the other sequences for prostate contouring and marker identification. Therefore, we recommend initial T2*3D and T2*2D examinations.
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http://dx.doi.org/10.1016/j.rpor.2017.10.002 | DOI Listing |
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Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo (USP), São Paulo, SP, 05508-900, Brazil.
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Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
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January 2025
Department of Physics, George Washington University, Washington, DC 20052, United States.
A mixture-of-experts (MoE) approach has been developed to mitigate the poor out-of-distribution (OOD) generalization of deep learning (DL) models for single-sequence-based prediction of RNA secondary structure. The main idea behind this approach is to use DL models for in-distribution (ID) test sequences to leverage their superior ID performances, while relying on physics-based models for OOD sequences to ensure robust predictions. One key ingredient of the pipeline, named MoEFold2D, is automated ID/OOD detection via consensus analysis of an ensemble of DL model predictions without requiring access to training data during inference.
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Department of Hepatopancreatobiliary Surgery, Fujian Research Institute of Abdominal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, 350005, PR China.
Selenium-enriched probiotics have attracted much attention due to the physiological activities of both probiotics and selenium (organic selenium). In this study, we investigated the mitigating effect of selenium-enriched GG (LGG@Se) and its pathway on alcohol-induced liver injury (ALI) in mice. The results showed that LGG@Se was superior to LGG and sodium selenite in alleviating ALI.
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School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Multiplex digital nucleic acid analysis (NAA) allows the precise quantification of multiple target nucleic acids with single-molecule sensitivity, making it highly appealing for life science research and clinical diagnostics. Nucleic acid-guided endonucleases, such as CRISPR, have demonstrated great potential in digital NAA. However, performing multiplex digital NAA with an endonuclease remains challenging.
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