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  1. To develop a nomogram for preoperative assessment of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) based on the radiological features of enhanced CT and to verify two imaging techniques (CT an...

    Authors: Yuhui Deng, Dawei Yang, Xianzheng Tan, Hui Xu, Lixue Xu, Ahong Ren, Peng Liu and Zhenghan Yang
    Citation: BMC Medical Imaging 2024 24:29
  2. Node Reporting and Data System (Node-RADS) was proposed and can be applied to lymph nodes (LNs) across all anatomical sites. This study aimed to investigate the diagnostic performance of Node-RADS in cervical ...

    Authors: Qingxia Wu, Jianghua Lou, Jinjin Liu, Linxiao Dong, Qingxia Wu, Yaping Wu, Xuan Yu and Meiyun Wang
    Citation: BMC Medical Imaging 2024 24:28
  3. To construct a gadoxetic acid-enhanced MRI (EOB-MRI) -based multivariable model to predict Ki-67 expression levels in hepatocellular carcinoma (HCC) using LI-RADS v2018 imaging features.

    Authors: Yingying Liang, Fan Xu, Qiuju Mou, Zihua Wang, Chuyin Xiao, Tingwen Zhou, Nianru Zhang, Jing Yang and Hongzhen Wu
    Citation: BMC Medical Imaging 2024 24:27
  4. As treatment strategies differ according to endotype, rhinologists must accurately determine the endotype in patients affected by chronic rhinosinusitis with nasal polyps (CRSwNP) for the appropriate managemen...

    Authors: Weidong Du, Weipiao Kang, Shixin Lai, Zehong Cai, Yaowen Chen, Xiaolei Zhang and Yu Lin
    Citation: BMC Medical Imaging 2024 24:25
  5. Brain CT can be used to evaluate pediatric patients with suspicion of cerebral pathology when anesthetic and MRI resources are scarce. This study aimed to assess if pediatric patients referred for an elective ...

    Authors: Francesca De Luca, Annika Kits, Daniel Martin Muñoz, Åsa Aspelin, Ola Kvist, Yords Österman, Sandra Diaz Ruiz, Stefan Skare and Anna Falk Delgado
    Citation: BMC Medical Imaging 2024 24:23
  6. Non-invasive identification of breast cancer (BCa) patients with pathological complete response (pCR) after neoadjuvant chemotherapy (NACT) is critical to determine appropriate surgical strategies and guide th...

    Authors: Guangying Zheng, Jie Hou, Zhenyu Shu, Jiaxuan Peng, Lu Han, Zhongyu Yuan, Xiaodong He and Xiangyang Gong
    Citation: BMC Medical Imaging 2024 24:22
  7. The current approach to diagnosing and classifying brain tumors relies on the histological evaluation of biopsy samples, which is invasive, time-consuming, and susceptible to manual errors. These limitations u...

    Authors: Saravanan Srinivasan, Divya Francis, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Basu Dev Shivahare and Mohd Asif Shah
    Citation: BMC Medical Imaging 2024 24:21
  8. Human vision has inspired significant advancements in computer vision, yet the human eye is prone to various silent eye diseases. With the advent of deep learning, computer vision for detecting human eye disea...

    Authors: Fanyu Du, Lishuai Zhao, Hui Luo, Qijia Xing, Jun Wu, Yuanzhong Zhu, Wansong Xu, Wenjing He and Jianfang Wu
    Citation: BMC Medical Imaging 2024 24:19
  9. To find a useful hypoxia non-invasive biomarker for evaluating early treatment response and prognosis to definitive chemoradiotherapy (dCRT) in patients with esophageal squamous cell carcinoma (ESCC), using bl...

    Authors: Huanhuan Zheng, Hailong Zhang, Yan Zhu, Xiaolei Wei, Song Liu and Wei Ren
    Citation: BMC Medical Imaging 2024 24:18
  10. Medical image segmentation is an important processing step in most of medical image analysis. Thus, high accuracy and robustness are required for them. The current deep neural network based medical segmentatio...

    Authors: Liangli Xiong, Chen Yi, Qiliang Xiong and Shaofeng Jiang
    Citation: BMC Medical Imaging 2024 24:17
  11. T1 mapping can potentially quantitatively assess the intrinsic properties of tumors. This study was conducted to explore the ability of T1 mapping in distinguishing cervical cancer type, grade, and stage and c...

    Authors: Zanxia Zhang, Jie Liu, Yong Zhang, Feifei Qu, Robert Grimm, Jingliang Cheng, Weijian Wang, Jinxia Zhu and Shujian Li
    Citation: BMC Medical Imaging 2024 24:16
  12. Accurately distinguishing between invasive thymic epithelial tumors (TETs) and anterior mediastinal lymphoma before surgery is crucial for subsequent treatment choices. But currently, the diagnosis of invasive...

    Authors: Shuo Zhou, Pokwan Tsui, Meifu Lin, Guobao Chen, Wenxin Chen and Xiangran Cai
    Citation: BMC Medical Imaging 2024 24:14
  13. Lung cancer remains a leading cause of death among cancer patients. Computed tomography (CT) plays a key role in lung cancer screening. Previous studies have not adequately quantified the effect of scanning pr...

    Authors: Donghua Meng, Zhen Wang, Changsen Bai, Zhaoxiang Ye and Zhipeng Gao
    Citation: BMC Medical Imaging 2024 24:12
  14. To validate the feasibility of water enema PET/CT (WE-PET/CT) in incidental colorectal 18F-FDG uptake and improve the accuracy of diagnosing colorectal neoplastic lesions.

    Authors: Rongqin Zhang, Meilinuer Abudurexiti, Wanglin Qiu, Pinbo Huang, Ping Hu, Wei Fan and Zhanwen Zhang
    Citation: BMC Medical Imaging 2024 24:11
  15. Computed tomography angiography (CTA) and magnetic resonance angiography (MRA) provide accurate vascular imaging information, but their use may be contraindicated. Color Doppler ultrasonography (CDU) provides ...

    Authors: Li Zhiqiang, Wang Yihua, Fu Ying, Zhu Shiwei, Zeng Xiangzhu and Cui Ligang
    Citation: BMC Medical Imaging 2024 24:10
  16. Numerous previous studies have assessed the prognostic role of 18F-fluorodeoxyglucose positron-emission tomography (18F FDG PET) in patients with biliary tract cancer (BTC), but those results were inconsistent...

    Authors: Xia Zheng, Yue Shi, Delida Kulabieke, Zihao Wang, Ying Cheng and Jun Qian
    Citation: BMC Medical Imaging 2024 24:9
  17. Atlantodental subluxation (ADS) is a serious condition that can result in sudden death. Measuring the anterior atlantodental interval (AADI method) is the gold standard for diagnosis but the complex anatomy of...

    Authors: Eun Ji Lee, Yeo Ju Kim, Sung Oh Song, Seunghun Lee, Jeongah Ryu and Nayeon Choi
    Citation: BMC Medical Imaging 2024 24:8
  18. This study aimed to establish a predictive model to estimate the postoperative prognosis of patients with extrahepatic cholangiocarcinoma (ECC) based on preoperative clinical and MRI features.

    Authors: Yanyan Zeng, Xiaoyong Wang, Jiaojiao Wu, Limin Wang, Feng Shi and Jian Shu
    Citation: BMC Medical Imaging 2024 24:7
  19. Convolutional neural network-based image processing research is actively being conducted for pathology image analysis. As a convolutional neural network model requires a large amount of image data for training...

    Authors: Mujin Kim, Willmer Rafell Quiñones Robles, Young Sin Ko, Bryan Wong, Sol Lee and Mun Yong Yi
    Citation: BMC Medical Imaging 2024 24:5
  20. Susac syndrome (SuS) is a rare autoimmune disease that leads to hearing impairment, visual field deficits, and encephalopathy due to an occlusion of precapillary arterioles in the brain, retina, and inner ear....

    Authors: Daniel Strunk, Tim Sinnecker, Ilka Kleffner, Jan Doerr, Marius Ringelstein, Catharina C. Gross, Cornelius Deuschl, Stefan Maderwald, Harald H. Quick, Elif Yamac, Karsten H. Wrede and Markus Kraemer
    Citation: BMC Medical Imaging 2024 24:4
  21. Glioblastoma with multiple foci (mGBM) and multiple brain metastases share several common features on magnetic resonance imaging (MRI). A reliable preoperative diagnosis would be of clinical relevance. The aim...

    Authors: Sebastian Johannes Müller, Eya Khadhraoui, Marielle Ernst, Veit Rohde, Bawarjan Schatlo and Vesna Malinova
    Citation: BMC Medical Imaging 2024 24:3
  22. In some patients with nonischemic cardiomyopathy (NICM), left ventricular (LV) function improves with medical assistance, resulting in left ventricular reverse remodeling (LVRR). However, predictors of LVRR ar...

    Authors: Ke Chen, Lei Chang, Rong Huang, Ziyan Wang, Dan Mu and Lian Wang
    Citation: BMC Medical Imaging 2024 24:2
  23. Deep learning is a highly significant technology in clinical treatment and diagnostics nowadays. Convolutional Neural Network (CNN) is a new idea in deep learning that is being used in the area of computer vis...

    Authors: Sohamkumar Chauhan, Damoder Reddy Edla, Vijayasree Boddu, M Jayanthi Rao, Ramalingaswamy Cheruku, Soumya Ranjan Nayak, Sheshikala Martha, Kamppa Lavanya and Tsedenya Debebe Nigat
    Citation: BMC Medical Imaging 2024 24:1
  24. Due to the highly heterogeneity of the breast cancer, it would be desirable to obtain a non-invasive method to early predict the treatment response and survival outcome of the locally advanced breast cancer (L...

    Authors: Caifeng Wan, Liheng Zhou, Ye Jin, Fenghua Li, Lin Wang, Wenjin Yin, Yaohui Wang, Hongli Li, Lixin Jiang and Jinsong Lu
    Citation: BMC Medical Imaging 2023 23:216
  25. Retroperitoneal liposarcoma (RLPS) poses a challenging scenario for surgeons due to its unpredictable biological behavior. Surgery remains the primary curative option for RLPS; however, the need for additional...

    Authors: Dao-Ning Liu, Jian-Hui Wu, Zhong-Wu Li, Hai-Yue Wang, Xiu-Yun Tian and Chun-Yi Hao
    Citation: BMC Medical Imaging 2023 23:215
  26. This retrospective study aims to evaluate the diagnostic value of volume measurement of central pulmonary arteries using computer tomography pulmonary angiography (CTPA) for predicting pulmonary hypertension (...

    Authors: Wanwan Zhao, Jialing Guo, Ningli Dong, Huanhuan Hei, Xiaoyi Duan and Cong Shen
    Citation: BMC Medical Imaging 2023 23:211
  27. Mutated KRAS may indicate an invasive nature and predict prognosis in locally advanced rectal cancer (LARC). We aimed to establish a radiomic model using pretreatment T2W MRIs to predict KRAS status and explor...

    Authors: Yirong Xiang, Shuai Li, Maxiaowei Song, Hongzhi Wang, Ke Hu, Fengwei Wang, Zhi Wang, Zhiyong Niu, Jin Liu, Yong Cai, Yongheng Li, Xianggao Zhu, Jianhao Geng, Yangzi Zhang, Huajing Teng and Weihu Wang
    Citation: BMC Medical Imaging 2023 23:210
  28. The purpose of this study was to investigate the clinical utility of three-dimension (3D) high-resolution inversion recovery (IR)-prepared fast spoiled gradient-recalled (SPGR) magnetic resonance imaging (MRI)...

    Authors: Lulu Xuan, Jiafu Huang, Huikang Yin, Zehua Lu, Xiaoliang Yang, Liyue Yang and Chengjun Geng
    Citation: BMC Medical Imaging 2023 23:207
  29. Prostate cancer (PCa) is one of the most common cancers in men worldwide, and its timely diagnosis and treatment are becoming increasingly important. MRI is in increasing use to diagnose cancer and to distingu...

    Authors: Haoming Zhuang, Aritrick Chatterjee, Xiaobing Fan, Shouliang Qi, Wei Qian and Dianning He
    Citation: BMC Medical Imaging 2023 23:205
  30. This study aims to investigate the potential of radiomics with multiple parameters from conventional T1 weighted imaging (T1WI) and susceptibility weighted imaging (SWI) in distinguishing between idiopathic Pa...

    Authors: Shuting Bu, Huize Pang, Xiaolu Li, Mengwan Zhao, Juzhou Wang, Yu Liu and Hongmei Yu
    Citation: BMC Medical Imaging 2023 23:204
  31. The role of threshold growth, as one of the major features (MFs) of hepatocellular carcinoma (HCC) in the Liver Imaging Reporting and Data System (LI-RADS) is inconsistent. This study evaluated the LI-RADS dia...

    Authors: Rong Lyu, Di Wang, Weijuan Hu, Zhongsong Gao, Changlu Yu, Jiao Wang, Mingge Li and Kefeng Jia
    Citation: BMC Medical Imaging 2023 23:201
  32. Deep learning has been used to detect or characterize prostate cancer (PCa) on medical images. The present study was designed to develop an integrated transfer learning nomogram (TLN) for the prediction of PCa...

    Authors: Junhao Chen, Bao Feng, Maoqing Hu, Feidong Huang, Yehang Chen, Xilun Ma and Wansheng Long
    Citation: BMC Medical Imaging 2023 23:200
  33. Chest radiography (CXR) is an adjunct tool in treatment planning and monitoring of the disease course of COVID-19 pneumonia. The purpose of the study was to describe the radiographic patterns and severity scor...

    Authors: Jumlong Saelim, Supika Kritsaneepaiboon, Vorawan Charoonratana and Puttichart Khantee
    Citation: BMC Medical Imaging 2023 23:199
  34. Maxillary morphology has long been a subject of interest due to its possible impact on palatally and labially displaced canines. This study aims to conduct a comparison of the palate morphology between individ...

    Authors: Farshad Sobhani, Amirfarhang Miresmaeili, Hossein Mahjub and Maryam Farhadian
    Citation: BMC Medical Imaging 2023 23:198
  35. In recent years, there has been a growing trend towards utilizing Artificial Intelligence (AI) and machine learning techniques in medical imaging, including for the purpose of automating quality assurance. In ...

    Authors: Tarraf Torfeh, Souha Aouadi, SA Yoganathan, Satheesh Paloor, Rabih Hammoud and Noora Al-Hammadi
    Citation: BMC Medical Imaging 2023 23:197

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  • Citation Impact 2023
    Journal Impact Factor: 2.9
    5-year Journal Impact Factor: 2.8
    Source Normalized Impact per Paper (SNIP): 1.157
    SCImago Journal Rank (SJR): 0.701

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    Submission to first editorial decision (median days): 13
    Submission to acceptance (median days): 177

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