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Differentiation of confluent hepatic fibrosis and infiltrative hepatocellular carcinoma on MR imaging

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  1. Article

    Open Access

    Deep Learning–Based Localization and Detection of Malpositioned Nasogastric Tubes on Portable Supine Chest X-Rays in Intensive Care and Emergency Medicine: A Multi-center Retrospective Study

    Malposition of a nasogastric tube (NGT) can lead to severe complications. We aimed to develop a computer-aided detection (CAD) system to localize NGTs and detect NGT malposition on portable chest X-rays (CXRs)...

    Chih-Hung Wang, Tianyu Hwang, Yu-Sen Huang in Journal of Imaging Informatics in Medicine (2024)

  2. Article

    Open Access

    Enabling the design of surgical instruments for under-resourced patients through metal additive manufacturing: ulnar shortening osteotomy as an example

    Ulnar shortening osteotomy (USO) has demonstrated good outcomes for patients with ulnar impaction syndrome. To minimize complications such as non-union, precise osteotomy and firm fixation are warranted. Despi...

    Kuan-Lin Chen, Cheng-Yu Yin, Hui-Kuang Huang, Yi-Chao Huang in 3D Printing in Medicine (2024)

  3. Article

    Open Access

    Long-term prosthetic-associated subclinical thrombotic events evaluation by cardiac CTA after transcatheter aortic valve implantation: incidence and outcomes

    To observe prosthetic-associated subclinical thrombotic events (PASTE) after transcatheter aortic valve implantation (TAVI) by cardiac CTA, and assess their impact on long-term patient outcomes.

    Qi**g Zhou, Jiaqi Wen, Qifeng Zhu, Jiaqi Fan, **aojun Guan in Insights into Imaging (2024)

  4. Article

    Open Access

    CT findings as predictive factors for treatment failure in Mycobacterium abscessus complex lung disease: a retrospective cohort study

    Mycobacterium abscessus complex (MABC) commonly causes lung disease (LD) and has a high treatment failure rate of around 50%. In this study, our objective is to investigate specific CT patterns for predicting tre...

    Pin-Yi Chiang, Yu-Sen Huang, Yu-Cheng Huang, Ming-Yann Lee in Japanese Journal of Radiology (2024)

  5. Article

    Open Access

    Risk factors for renal outcomes in children with antineutrophil cytoplasmic antibody-associated vasculitis: a nationwide retrospective study in China

    Pediatric antineutrophil cytoplasmic antibody-associated vasculitis (AAV) is a life-threatening systemic vasculitis featured by liability to renal involvement. However, there are few studies on the risk factor...

    Li-Wen Tan, Jun-Li Wan, Chun-Hua Zhu, Hong Xu, Zheng-Kun **a in World Journal of Pediatrics (2024)

  6. Article

    Open Access

    Deep Learning–based Diagnosis of Pulmonary Tuberculosis on Chest X-ray in the Emergency Department: A Retrospective Study

    Prompt and correct detection of pulmonary tuberculosis (PTB) is critical in preventing its spread. We aimed to develop a deep learning–based algorithm for detecting PTB on chest X-ray (CXRs) in the emergency d...

    Chih-Hung Wang, Weishan Chang, Meng-Rui Lee in Journal of Imaging Informatics in Medicine (2024)

  7. Article

    Open Access

    A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images

    Automatic segmentation of hepatocellular carcinoma (HCC) on computed tomography (CT) scans is in urgent need to assist diagnosis and radiomics analysis. The aim of this study is to develop a deep learning base...

    I-Cheng Lee, Yung-** Tsai, Yen-Cheng Lin, Ting-Chun Chen, Chia-Heng Yen in Cancer Imaging (2024)

  8. Article

    Open Access

    Predicting microvascular invasion in small (≤ 5 cm) hepatocellular carcinomas using radiomics-based peritumoral analysis

    We assessed the predictive capacity of computed tomography (CT)-enhanced radiomics models in determining microvascular invasion (MVI) for isolated hepatocellular carcinoma (HCC) ≤ 5 cm within peritumoral margi...

    Fang Wang, Ming Cheng, Binbin Du, **g Li, Liming Li in Insights into Imaging (2024)

  9. Article

    Open Access

    Application of Machine Learning to Ultrasonography in Identifying Anatomical Landmarks for Cricothyroidotomy Among Female Adults: A Multi-center Prospective Observational Study

    We aimed to develop machine learning (ML)-based algorithms to assist physicians in ultrasound-guided localization of cricoid cartilage (CC) and thyroid cartilage (TC) in cricothyroidotomy. Adult female volunte...

    Chih-Hung Wang, Jia-Da Li, Cheng-Yi Wu in Journal of Imaging Informatics in Medicine (2024)

  10. Article

    Open Access

    A gross deletion of the PAX3 gene in a large Chinese family with Waardenburg syndrome type I

    Shu-Zhi Yang, Lei Hou, **n Qi, Guo-Jian Wang, Sha-Sha Huang in World Journal of Pediatrics (2023)

  11. Article

    Open Access

    Multiphase and multiparameter MRI-based radiomics for prediction of tumor response to neoadjuvant therapy in locally advanced rectal cancer

    To develop and validate radiomics models for prediction of tumor response to neoadjuvant therapy (NAT) in patients with locally advanced rectal cancer (LARC) using both pre-NAT and post-NAT multiparameter magn...

    Hongyan Huang, Lujun Han, Jianbo Guo, Yanyu Zhang, Shiwei Lin in Radiation Oncology (2023)

  12. Article

    Open Access

    Added value of zoomed-echo-planar imaging diffusion-weighted imaging for evaluation of periampullary carcinomas

    To assess the image quality feasibility and diagnostic value of zoomed diffusion-weighted imaging (z-EPI DWI) using echo-planar imaging (EPI) compared with conventional DWI (c-EPI DWI) in patients with periamp...

    **g**g Liu, Mengyue Huang, Yanan Ren, Man Xu, **xia Zhu in Abdominal Radiology (2023)

  13. Article

    Open Access

    Prediction of extranodal extension in head and neck squamous cell carcinoma by CT images using an evolutionary learning model

    Extranodal extension (ENE) in head and neck squamous cell carcinoma (HNSCC) correlates to poor prognoses and influences treatment strategies. Deep learning may yield promising performance of predicting ENE in ...

    Tzu-Ting Huang, Yi-Chen Lin, Chia-Heng Yen, Jui Lan, Chiun-Chieh Yu in Cancer Imaging (2023)

  14. Article

    Open Access

    Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors

    To develop an artificial intelligence (AI) model with radiomics and deep learning (DL) features extracted from CT images to distinguish benign from malignant ovarian tumors.

    Ya-Ting Jan, Pei-Shan Tsai, Wen-Hui Huang, Ling-Ying Chou in Insights into Imaging (2023)

  15. Article

    Open Access

    Improving detection of impacted animal bones on lateral neck radiograph using a deep learning artificial intelligence algorithm

    We aimed to develop a deep learning artificial intelligence (AI) algorithm to detect impacted animal bones on lateral neck radiographs and to assess its effectiveness for improving the interpretation of latera...

    Yueh-Sheng Chen, Sheng-Dean Luo, Chi-Hsun Lee, Jian-Feng Lin in Insights into Imaging (2023)

  16. Article

    Added value of chest CT images to a personalized prognostic model in acute respiratory distress syndrome: a retrospective study

    Acute respiratory distress syndrome (ARDS) is a critical disease in the intensive care unit (ICU) with high morbidity and mortality. The accuracy for predicting ARDS patients' outcome with mechanical ventilati...

    Yuan-Cheng Wang, Shu-Hang Zhang, Wen-Hui Lv in Chinese Journal of Academic Radiology (2023)

  17. Article

    Open Access

    Development and external validation of a radiomics model for assessment of HER2 positivity in men and women presenting with gastric cancer

    To develop and externally validate a conventional CT-based radiomics model for identifying HER2-positive status in gastric cancer (GC).

    Hui** Zhao, Pan Liang, Liuliang Yong, Ming Cheng, Yan Zhang in Insights into Imaging (2023)

  18. Article

    Open Access

    Identification of the origin of tumor in vein: comparison between CEUS LI-RADS v2017 and v2016 for patients at high risk

    To compare the diagnostic performance of the Contrast-Enhanced Ultrasound (CEUS) Liver Imaging Report and Data System (LI-RADS) v2016 and v2017 in identifying the origin of tumor in vein (TIV).

    Wen-juan Tong, Mei-qing Cheng, Man-xia Lin, Hang-tong Hu in BMC Medical Imaging (2022)

  19. Article

    Open Access

    Decoding the dopamine transporter imaging for the differential diagnosis of parkinsonism using deep learning

    This work attempts to decode the discriminative information in dopamine transporter (DAT) imaging using deep learning for the differential diagnosis of parkinsonism.

    Yu Zhao, ** Wu, Jianjun Wu in European Journal of Nuclear Medicine and M… (2022)

  20. Article

    Open Access

    The prognostic significance of pretreatment squamous cell carcinoma antigen levels in cervical cancer patients treated by concurrent chemoradiation therapy and a comparison of dosimetric outcomes and clinical toxicities between tomotherapy and volumetric modulated arc therapy

    To analyze the prognostic factors associated with stage IB-IVA cervical cancer in patients who underwent concurrent chemoradiation therapy (CCRT) and to compare the clinical toxicities and dosimetric parameter...

    Yuan-Kai Cheng, Shih-Hsun Kuo, Heng-Hsuan Yen, **g-Hu Wu in Radiation Oncology (2022)

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