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  1. The relationship between the biological pathways related to deep learning radiomics (DLR) and lymph node metastasis (LNM) of breast cancer is still poorly understood. This study explored the value of DLR based...

    Authors: Wenci Liu, Wubiao Chen, Jun Xia, Zhendong Lu, Youwen Fu, Yuange Li and Zhi Tan
    Citation: BMC Medical Imaging 2024 24:91
  2. Accurate preoperative identification of ovarian tumour subtypes is imperative for patients as it enables physicians to custom-tailor precise and individualized management strategies. So, we have developed an u...

    Authors: Yangchun Du, Wenwen Guo, Yanju Xiao, Haining Chen, Jinxiu Yao and Ji Wu
    Citation: BMC Medical Imaging 2024 24:89
  3. Medical imaging AI systems and big data analytics have attracted much attention from researchers of industry and academia. The application of medical imaging AI systems and big data analytics play an important...

    Authors: Rui Sun, Zhengyin Zhang, Yajun Liu, Xiaohang Niu and Jie Yuan
    Citation: BMC Medical Imaging 2024 24:86
  4. 1p/19q co-deletion in low-grade gliomas (LGG, World Health Organization grade II and III) is of great significance in clinical decision making. We aim to use radiomics analysis to predict 1p/19q co-deletion in...

    Authors: Andong Ma, Xinran Yan, Yaoming Qu, Haitao Wen, Xia Zou, Xinzi Liu, Mingjun Lu, Jianhua Mo and Zhibo Wen
    Citation: BMC Medical Imaging 2024 24:85
  5. Differentiating chronic total occlusion (CTO) from subtotal occlusion (SO) is often difficult to make from coronary computed tomography angiography (CCTA). We developed a CCTA-based radiomics model to differen...

    Authors: Jun Li, Lichen Ren, Hehe Guo, Haibo Yang, Jingjing Cui and Yonggao Zhang
    Citation: BMC Medical Imaging 2024 24:84
  6. The research focuses on the segmentation and classification of leukocytes, a crucial task in medical image analysis for diagnosing various diseases. The leukocyte dataset comprises four classes of images such ...

    Authors: Vatsala Anand, Sheifali Gupta, Deepika Koundal, Wael Y. Alghamdi and Bayan M. Alsharbi
    Citation: BMC Medical Imaging 2024 24:83
  7. Breast Cancer is a significant global health challenge, particularly affecting women with higher mortality compared with other cancer types. Timely detection of such cancer types is crucial, and recent researc...

    Authors: S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani and Suresh Guluwadi
    Citation: BMC Medical Imaging 2024 24:82
  8. To exploit the improved prediction performance based on dynamic contrast-enhanced (DCE) MRI by using dynamic radiomics for microvascular invasion (MVI) in hepatocellular carcinoma (HCC).

    Authors: Rui Zhang, Yao Wang, Zhi Li, Yushu Shi, Danping Yu, Qiang Huang, Feng Chen, Wenbo Xiao, Yuan Hong and Zhan Feng
    Citation: BMC Medical Imaging 2024 24:80
  9. To investigate the feasibility of Diffusion Kurtosis Imaging (DKI) in assessing renal interstitial fibrosis induced by hyperuricemia.

    Authors: Ping-Kang Chen, Zhong-Yuan Cheng, Ya-Lin Wang, Bao-Jun Xu, Zong-Chao Yu, Zhao-Xia Li, Shang-Ao Gong, Feng-Tao Zhang, Long Qian, Wei Cui, You-Zhen Feng and Xiang-Ran Cai
    Citation: BMC Medical Imaging 2024 24:78
  10. To investigate the value of a nomogram model based on the combination of clinical-CT features and multiphasic enhanced CT radiomics for the preoperative prediction of the microsatellite instability (MSI) statu...

    Authors: Xuelian Bian, Qi Sun, Mi Wang, Hanyun Dong, Xiaoxiao Dai, Liyuan Zhang, Guohua Fan and Guangqiang Chen
    Citation: BMC Medical Imaging 2024 24:77
  11. It is challenging to identify residual or recurrent fistulas from the surgical region, while MR imaging is feasible. The aim was to use dynamic contrast-enhanced MR imaging (DCE-MRI) technology to distinguish ...

    Authors: Weiping Lu, Xiaoyan Li, Wenwen Liang, Kai Chen, Xinyue Cao, Xiaowen Zhou, Ying Wang and Bingcang Huang
    Citation: BMC Medical Imaging 2024 24:76
  12. Based on a longitudinal cohort design, the aim of this study was to investigate whether individual-based 18F fluorodeoxyglucose positron emission tomography (18F-FDG-PET) regional signals can predict dementia con...

    Authors: Shu-Hua Huang, Wen-Chiu Hsiao, Hsin-I Chang, Mi-Chia Ma, Shih-Wei Hsu, Chen-Chang Lee, Hong-Jie Chen, Ching-Heng Lin, Chi-Wei Huang and Chiung-Chih Chang
    Citation: BMC Medical Imaging 2024 24:75
  13. The objective of this research was to create a deep learning network that utilizes multiscale images for the classification of follicular thyroid carcinoma (FTC) and follicular thyroid adenoma (FTA) through pr...

    Authors: Weiwei Chen, Xuejun Ni, Cheng Qian, Lei Yang, Zheng Zhang, Mengdan Li, Fanlei Kong, Mengqin Huang, Maosheng He and Yifei Yin
    Citation: BMC Medical Imaging 2024 24:74
  14. Quantitative determination of the correlation between cognitive ability and functional biomarkers in the older brain is essential. To identify biomarkers associated with cognitive performance in the older, thi...

    Authors: Shiying Zhang, Manling Ge, Hao Cheng, Shenghua Chen, Yihui Li and Kaiwei Wang
    Citation: BMC Medical Imaging 2024 24:72
  15. Perfusion MRI is of great benefit in the post-treatment evaluation of brain tumors. Interestingly, dynamic susceptibility contrast-enhanced (DSC) perfusion has taken its place in routine examination for this p...

    Authors: Ezgi Suat Bayraktar, Gokhan Duygulu, Yusuf Kenan Çetinoğlu, Mustafa Fazıl Gelal, Melda Apaydın and Hülya Ellidokuz
    Citation: BMC Medical Imaging 2024 24:70
  16. MRI has been widely used to predict the preoperative proliferative potential of pituitary adenoma (PA). However, the relationship between the cyst/tumor volume ratio (C/T ratio) and the proliferative potential...

    Authors: Jianwu Wu, Fangfang Zhang, Yinxing Huang, Liangfeng Wei, Tao Mei, Shousen Wang, Zihuan Zeng and Wei Wang
    Citation: BMC Medical Imaging 2024 24:69
  17. Contrast-enhanced ultrasound (CEUS) is considered as an efficient tool for focal liver lesion characterization, given it allows real-time scanning and provides dynamic tissue perfusion information. An accurate...

    Authors: Hongyu Zhou, Jianmin Ding, Yan Zhou, Yandong Wang, Lei Zhao, Cho-Chiang Shih, Jingping Xu, Jianan Wang, Ling Tong, Zhouye Chen, Qizhong Lin and Xiang Jing
    Citation: BMC Medical Imaging 2024 24:68
  18. Clinical data warehouses provide access to massive amounts of medical images, but these images are often heterogeneous. They can for instance include images acquired both with or without the injection of a gad...

    Authors: Simona Bottani, Elina Thibeau-Sutre, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot and Ninon Burgos
    Citation: BMC Medical Imaging 2024 24:67
  19. To investigate the altered trends of regional homogeneity (ReHo) based on time and frequency, and clarify the time-frequency characteristics of ReHo in 48 classical trigeminal neuralgia (CTN) patients after a ...

    Authors: Juncheng Yan, Luoyu Wang, Lei Pan, Haiqi Ye, Xiaofen Zhu, Qi Feng, Haibin Wang, Zhongxiang Ding and Xiuhong Ge
    Citation: BMC Medical Imaging 2024 24:66
  20. To assess the performance of multi-modal ultrasomics model to predict efficacy to neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC) and compare with the clinical model.

    Authors: Qiong Qin, Xiangyu Gan, Peng Lin, Jingshu Pang, Ruizhi Gao, Rong Wen, Dun Liu, Quanquan Tang, Changwen Liu, Yun He, Hong Yang and Yuquan Wu
    Citation: BMC Medical Imaging 2024 24:65
  21. Medullary Thyroid Carcinoma (MTC) is a rare type of thyroid cancer. Accurate prediction of lateral cervical lymph node metastases (LCLNM) in MTC patients can help guide surgical decisions and ensure that patie...

    Authors: Zhiqiang Liu, Xiwei Zhang, Xiaohui Zhao, Qianqian Guo, Zhengjiang Li, Minghui Wei, Lijuan Niu and Changming An
    Citation: BMC Medical Imaging 2024 24:64
  22. Significant advancements in machine learning algorithms have the potential to aid in the early detection and prevention of cancer, a devastating disease. However, traditional research methods face obstacles, a...

    Authors: Vinod Kumar, Chander Prabha, Preeti Sharma, Nitin Mittal, S. S. Askar and Mohamed Abouhawwash
    Citation: BMC Medical Imaging 2024 24:63
  23. Early diagnosis of osteoporosis is crucial to prevent osteoporotic vertebral fracture and complications of spine surgery. We aimed to conduct a hybrid transformer convolutional neural network (HTCNN)-based rad...

    Authors: Jiachen Liu, Huan Wang, Xiuqi Shan, Lei Zhang, Shaoqian Cui, Zelin Shi, Yunpeng Liu, Yingdi Zhang and Lanbo Wang
    Citation: BMC Medical Imaging 2024 24:62
  24. The paper aimed to improve the accuracy limitations of traditional two-dimensional ultrasound and surgical procedures in the diagnosis and management of congenital heart disease (chd), and to improve the diagn...

    Authors: Yong Jiang
    Citation: BMC Medical Imaging 2024 24:61
  25. Traditional process for clinically significant prostate cancer (csPCA) diagnosis relies on invasive biopsy and may bring pain and complications. Radiomic features of magnetic resonance imaging MRI and methylat...

    Authors: Yufei Wang, Weifeng Liu, Zeyu Chen, Yachen Zang, Lijun Xu, Zheng Dai, Yibin Zhou and Jin Zhu
    Citation: BMC Medical Imaging 2024 24:60
  26. MULTIPLEX is a single-scan three-dimensional multi-parametric MRI technique that provides 1 mm isotropic T1-, T2*-, proton density- and susceptibility-weighted images and the corresponding quantitative maps. T...

    Authors: Min Duan, Rongrong Pan, Qing Gao, Xinying Wu, Hai Lin, Jianmin Yuan, Yamei Zhang, Lindong Liu, Youyong Tian and Tong Fu
    Citation: BMC Medical Imaging 2024 24:58
  27. The morphological information of the pulmonary vein (PV) and left atrium (LA) is of immense clinical importance for effective atrial fibrillation ablation. The aim of this study is to examine the consistency i...

    Authors: Jun-Yan Yue, Kai Ji, Hai-Peng Liu, Qing-Wu Wu, Chang-Hua Liang and Jian-Bo Gao
    Citation: BMC Medical Imaging 2024 24:57

    The Correction to this article has been published in BMC Medical Imaging 2024 24:81

  28. This study aimed to establish a dedicated deep-learning model (DLM) on routine magnetic resonance imaging (MRI) data to investigate DLM performance in automated detection and segmentation of meningiomas in com...

    Authors: Liping Yang, Tianzuo Wang, Jinling Zhang, Shi Kang, Shichuan Xu and Kezheng Wang
    Citation: BMC Medical Imaging 2024 24:56
  29. Transcranial color-coded duplex ultrasonography (TCCD) is an important diagnostic tool in the investigation of cerebrovascular diseases. TCCD is often hampered by the temporal window that ultrasound cannot pen...

    Authors: Jieyu Duan, Pengfei Wang, Haoyu Wang and Wei Zhao
    Citation: BMC Medical Imaging 2024 24:55
  30. To introduce a three-dimensional convolutional neural network (3D CNN) leveraging transfer learning for fusing PET/CT images and clinical data to predict EGFR mutation status in lung adenocarcinoma (LADC).

    Authors: Xiaonan Shao, Xinyu Ge, Jianxiong Gao, Rong Niu, Yunmei Shi, Xiaoliang Shao, Zhenxing Jiang, Renyuan Li and Yuetao Wang
    Citation: BMC Medical Imaging 2024 24:54
  31. The diameter of the ostial and proximal left main coronary artery can be greater than 5.0 mm. However, the diameters of the mostly available coronary drug-eluting stents (DESs) are ≤ 4.0 mm. Whether high-press...

    Authors: Qing He, Yuqi Fan, Zuojun Xu and Junfeng Zhang
    Citation: BMC Medical Imaging 2024 24:53
  32. This study explores the potential of 3D Slice-to-Volume Registration (SVR) motion-corrected fetal MRI for craniofacial assessment, traditionally used only for fetal brain analysis. In addition, we present the ...

    Authors: Jacqueline Matthew, Alena Uus, Leah De Souza, Robert Wright, Abi Fukami-Gartner, Gema Priego, Carlo Saija, Maria Deprez, Alexia Egloff Collado, Jana Hutter, Lisa Story, Christina Malamateniou, Kawal Rhode, Jo Hajnal and Mary A. Rutherford
    Citation: BMC Medical Imaging 2024 24:52
  33. Pulmonary diseases are various pathological conditions that affect respiratory tissues and organs, making the exchange of gas challenging for animals inhaling and exhaling. It varies from gentle and self-limit...

    Authors: AbdulRahman Tosho Abdulahi, Roseline Oluwaseun Ogundokun, Ajiboye Raimot Adenike, Mohd Asif Shah and Yusuf Kola Ahmed
    Citation: BMC Medical Imaging 2024 24:51
  34. Asymptomatic COVID-19 carriers with normal chest computed tomography (CT) scans have perpetuated the ongoing pandemic of this disease. This retrospective study aimed to use automated machine learning (AutoML) ...

    Authors: Minyue Yin, Chao Xu, Jinzhou Zhu, Yuhan Xue, Yijia Zhou, Yu He, Jiaxi Lin, Lu Liu, Jingwen Gao, Xiaolin Liu, Dan Shen and Cuiping Fu
    Citation: BMC Medical Imaging 2024 24:50
  35. Unenhanced abdominal CT constitutes the diagnostic standard of care in suspected urolithiasis. Aiming to identify potential for radiation dose reduction in this frequent imaging task, this experimental study c...

    Authors: Philipp Feldle, Jan-Peter Grunz, Andreas Steven Kunz, Pauline Pannenbecker, Theresa Sophie Patzer, Svenja Pichlmeier, Stephanie Tina Sauer, Robin Hendel, Süleyman Ergün, Thorsten Alexander Bley and Henner Huflage
    Citation: BMC Medical Imaging 2024 24:49
  36. The purpose of our study was to differentiate uterine carcinosarcoma (UCS) from endometrioid adenocarcinoma (EAC) by the multiparametric magnetic resonance imaging (MRI) features.

    Authors: Xiaodan Chen, Qingyong Guo, Xiaorong Chen, Wanjing Zheng, Yaqing Kang and Dairong Cao
    Citation: BMC Medical Imaging 2024 24:48
  37. Tumor mutational burden (TMB) is one of the most significant predictive biomarkers of immunotherapy efficacy in non-small cell lung cancer (NSCLC). Radiomics allows high-throughput extraction and analysis of ...

    Authors: Jiexiao Wang, Jialiang Wang, Xiang Huang, Yanfei Zhou, Jian Qi, Xiaojun Sun, Jinfu Nie, Zongtao Hu, Shujie Wang, Bo Hong and Hongzhi Wang
    Citation: BMC Medical Imaging 2024 24:45
  38. To investigate whether CT-based radiomics can effectively differentiate between heterotopic pancreas (HP) and gastrointestinal stromal tumor (GIST), and whether different resampling methods can affect the mode...

    Authors: Kui Sun, Shuxia Yu, Ying Wang, Rongze Jia, Rongchao Shi, Changhu Liang, Ximing Wang and Haiyan Wang
    Citation: BMC Medical Imaging 2024 24:44
  39. A deep learning (DL) model that automatically detects cardiac pathologies on cardiac MRI may help streamline the diagnostic workflow. To develop a DL model to detect cardiac pathologies on cardiac MRI T1-mappi...

    Authors: Aleksandra M. Paciorek, Claudio E. von Schacky, Sarah C. Foreman, Felix G. Gassert, Florian T. Gassert, Jan S. Kirschke, Karl-Ludwig Laugwitz, Tobias Geith, Martin Hadamitzky and Jonathan Nadjiri
    Citation: BMC Medical Imaging 2024 24:43
  40. Parathyroid glands are important endocrine glands, and the identification of normal parathyroid glands is crucial for their protection. The aim of this study is to explore the sonographic characteristics of no...

    Authors: Cuiping Wu, Binyang Zhu, Song Kang, Shiyu Wang, Yingying Liu, Xue Mei, He Zhang and Shuangquan Jiang
    Citation: BMC Medical Imaging 2024 24:42

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