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  1. The purpose of this study is to investigate the use of radiomics and deep features obtained from multiparametric magnetic resonance imaging (mpMRI) for grading prostate cancer. We propose a novel approach call...

    Authors: Hasan Khanfari, Saeed Mehranfar, Mohsen Cheki, Mahmoud Mohammadi Sadr, Samir Moniri, Sahel Heydarheydari and Seyed Masoud Rezaeijo
    Citation: BMC Medical Imaging 2023 23:195
  2. To evaluate the repeatability and agreement of Fourier-domain optical coherence tomography (AOCT-1000 M and RTVue XR) and partial coherence interferometry biometer (IOL Master 500) in measuring corneal thickne...

    Authors: Hailong Ni, Suzhong Xu, Li Tian, Jieli Mao, Jing Li, Na Lin, Peike Hu, Zhiyi Wu, Xiang Chen, Zhishu Bao, Jingwei Zheng, Peihua Yan and Ruzhi Deng
    Citation: BMC Medical Imaging 2023 23:194
  3. 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography (18F-FDG PET) could help evaluate metabolic abnormalities by semi-quantitative measurement to identify autoimmune encephalitis (AE). Few studies hav...

    Authors: Lili Liu, Zhehao Lyu, Huimin Li, Lin Bai, Yong Wan and Ping Li
    Citation: BMC Medical Imaging 2023 23:193
  4. There are no specific magnetic resonance imaging (MRI) features that distinguish pilocytic astrocytoma (PA) from adamantinomatous craniopharyngioma (ACP). In this study we compared the frequency of a novel enh...

    Authors: Shumin Xu, Wanqun Yang, Yi Luo, Xiaoyu Wang, Yaowen Li, Xianlei Meng, Yuze Zhang, Hongwu Zeng and Biao Huang
    Citation: BMC Medical Imaging 2023 23:191
  5. This study aimed to compare the diagnostic efficiency of Ovarian-Adnexal Reporting and Data System (O-RADS) and doctors’ subjective judgment in diagnosing the malignancy risk of adnexal masses.

    Authors: Shan Zhou, Yuyang Guo, Lieming Wen, Jieyu Liu, Yaqian Fu, Fang Xu, Minghui Liu and Baihua Zhao
    Citation: BMC Medical Imaging 2023 23:190
  6. Although it is generally thought that disturbance of perfusion in the anterior lobe of the pituitary gland leads to complete or partial hypopituitarism, the gadolinium (Gd) enhancement findings on Magnetic Res...

    Authors: Mariko Doai, Yuka Nishino, Yasuhiko Hayashi, Masatsune Ito and Munetaka Matoba
    Citation: BMC Medical Imaging 2023 23:188
  7. Kidney volume is important in the management of renal diseases. Unfortunately, the currently available, semi-automated kidney volume determination is time-consuming and prone to errors. Recent advances in its ...

    Authors: Lukas Müller, Dativa Tibyampansha, Peter Mildenberger, Torsten Panholzer, Florian Jungmann and Moritz C. Halfmann
    Citation: BMC Medical Imaging 2023 23:187
  8. Renal cell carcinoma (RCC) is a heterogeneous group of cancers. The collagen fiber content in the tumor microenvironment of renal cancer has an important role in tumor progression and prognosis. A radiomics mo...

    Authors: Zhongyuan Li, Ning Wang, Xue Bing, Yuhan Li, Jian Yao, Ruobing Li and Aimei Ouyang
    Citation: BMC Medical Imaging 2023 23:186
  9. 1H magnetic resonance spectroscopy (1H-MRS) can be used to study neurological disorders because it can be utilized to examine the concentrations of related metabolites. However, the diagnostic utility of differen...

    Authors: Biao Qu, Hejuan Tan, Min Xiao, Dongbao Liu, Shijin Wang, Yiwen Zhang, Runhan Chen, Gaofeng Zheng, Yonggui Yang, Gen Yan and Xiaobo Qu
    Citation: BMC Medical Imaging 2023 23:185
  10. To explore the value of magnetic resonance angiography (MRA) and high resolution magnetic resonance vessel wall imaging (HRMR-VWI) in cervicocranial artery dissection (CCAD) for the disease diagnosis, course s...

    Authors: Weiqiong Ma, Kexin Zhou, Bowen Lan, Kangyin Chen, Wuming Li and Guihua Jiang
    Citation: BMC Medical Imaging 2023 23:184
  11. There is a lack of understanding of the mechanisms by which the CNS is injured in multiple sclerosis (MS). Since Theiler’s murine encephalomyelitis virus (TMEV) infection in SJL/J mice is an established model ...

    Authors: Michael Linzey, Krista DiSano, Nora Welsh, James C. Ford, Francesca Gilli, Heather Wishart and Andrew Pachner
    Citation: BMC Medical Imaging 2023 23:183
  12. The value of radiomics features from the adrenal gland and periadrenal fat CT images for predicting disease progression in patients with COVID-19 has not been studied extensively. We assess the value of radiom...

    Authors: Mudan Zhang, Xuntao Yin, Wuchao Li, Yan Zha, Xianchun Zeng, Xiaoyong Zhang, Jingjing Cui, Zhong Xue, Rongpin Wang and Chen Liu
    Citation: BMC Medical Imaging 2023 23:181
  13. To provide normative data and to determine accuracy and reliability of preoperative measurements of spondylolisthesis and kyphosis on supine static magnetic resonance imaging (MRI) of patients with degenerativ...

    Authors: Eddie de Dios, Mats Laesser, Isabella M. Björkman-Burtscher, Lars Lindhagen and Anna MacDowall
    Citation: BMC Medical Imaging 2023 23:180
  14. Pulmonary nodule growth rate assessment is critical in the management of subsolid pulmonary nodules (SSNs) during clinical follow-up. The present study aimed to develop a model to predict the growth rate of SSNs.

    Authors: Zong Jing Ma, Zhuang Xuan Ma, Ying Li Sun, De Chun Li, Liang Jin, Pan Gao, Cheng Li and Ming Li
    Citation: BMC Medical Imaging 2023 23:177
  15. We focused on Differentiated pseudoprogression (PPN) of progression (PN) and the response to radiotherapy (RT) or chemoradiotherapy (CRT) using diffusion and metabolic imaging.

    Authors: Maryam Zamanian, Iraj Abedi, Fatemeh Danazadeh, Alireza Amouheidari and Bentolhoda Otroshi Shahreza
    Citation: BMC Medical Imaging 2023 23:176
  16. UTE has been used to depict lung parenchyma. However, the insufficient discussion of its performance in pediatric pneumonia compared with conventional sequences is a gap in the existing literature. The objecti...

    Authors: Yan Sun, Yujie Chen, Xuesheng Li, Yi Liao, Xijian Chen, Yu Song, Xinyue Liang, Yongming Dai, Dapeng Chen and Gang Ning
    Citation: BMC Medical Imaging 2023 23:175
  17. With the rise in importance of personalized medicine and deep learning, we combine the two to create personalized neural networks. The aim of the study is to show a proof of concept that data from just one pat...

    Authors: Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger and Jens Kleesiek
    Citation: BMC Medical Imaging 2023 23:174
  18. To investigate the prognosis value of a combined model based on 18F-fluoro-deoxyglucose positron emission tomography-computed tomography (18F-FDG PET-CT) baseline and interim parameters in patients with diffuse l...

    Authors: Jun Dang, Xiaojuan Peng, Ping Wu, Yutang Yao, Xiaofei Tan, Zhenyan Ye, Xuemei Jiang, Xiao Jiang, Yongli Liu, Shirong Chen and Zhuzhong Cheng
    Citation: BMC Medical Imaging 2023 23:173
  19. Automatic segmentation of brain tumors by deep learning algorithm is one of the research hotspots in the field of medical image segmentation. An improved FPN network for brain tumor segmentation is proposed to...

    Authors: Haitao Sun, Shuai Yang, Lijuan Chen, Pingyan Liao, Xiangping Liu, Ying Liu and Ning Wang
    Citation: BMC Medical Imaging 2023 23:172
  20. A super-resolution deep learning reconstruction (SR-DLR) algorithm trained using data acquired on the ultrahigh spatial resolution computed tomography (UHRCT) has the potential to provide better image quality ...

    Authors: Makoto Orii, Misato Sone, Takeshi Osaki, Yuta Ueyama, Takuya Chiba, Tadashi Sasaki and Kunihiro Yoshioka
    Citation: BMC Medical Imaging 2023 23:171
  21. This study sought to evaluate the worth of the general characteristics of enhanced CT images and the histogram parameters of each stage in distinguishing pleomorphic adenoma (PA) and adenolymphoma (AL).

    Authors: Feifei Xia, Foqing Guo, Zhe Liu, Jie Zeng, Xuehua Ma, Chongqing Yu and Changxue Li
    Citation: BMC Medical Imaging 2023 23:169
  22. To explore the value of multiparametric MRI markers for preoperative prediction of Ki-67 expression among patients with rectal cancer.

    Authors: Xiuzhen Yao, Weiqun Ao, Xiandi Zhu, Shuyuan Tian, Xiaoyu Han, Jinwen Hu, Wenjie Xu, Guoqun Mao and Shuitang Deng
    Citation: BMC Medical Imaging 2023 23:168
  23. To investigate the association between CT signs and clinicopathological features and disease recurrence in patients with hepatoid adenocarcinoma of stomach (HAS).

    Authors: Xin-Yue Yan, Hai-Yue Ju, Fang-Jing Hou, Xiao-ting Li, Ding Yang, Lei Tang, Ya-Kun Wang, Zhong-Wu Li, Ying-Shi Sun and Shun-Yu Gao
    Citation: BMC Medical Imaging 2023 23:167
  24. Diagnosis of small airway disease on computed tomography (CT) scans is challenging in patients with a history of chemical warfare exposure. We developed a software package based on different methodologies to i...

    Authors: Mohammad Mehdi Baradaran Mahdavi, Mehravar Rafati, Mostafa Ghanei and Masoud Arabfard
    Citation: BMC Medical Imaging 2023 23:165
  25. Parameters, such as left ventricular ejection fraction, peak strain dispersion, global longitudinal strain, etc. are influential and clinically interpretable for detection of cardiac disease, while manual dete...

    Authors: Jiyun Chen, Xijun Zhang, Jianjun Yuan, Renjie Shao, Conggui Gan, Qiang Ji, Wei Luo, Zhi-Feng Pang and Haohui Zhu
    Citation: BMC Medical Imaging 2023 23:163
  26. The deterministic deep learning models have achieved state-of-the-art performance in various medical image analysis tasks, including nuclei segmentation from histopathology images. The deterministic models foc...

    Authors: Naga Raju Gudhe, Veli-Matti Kosma, Hamid Behravan and Arto Mannermaa
    Citation: BMC Medical Imaging 2023 23:162
  27. This study was to prospectively investigate the feasibility of four-dimensional computed tomography angiography (4D-CTA) with electrocardiogram-gated (ECG) reconstruction for preoperative evaluation of morphol...

    Authors: Liping Yang, Xing Gao, Chao Gao, Shichuan Xu and Shaodong Cao
    Citation: BMC Medical Imaging 2023 23:161
  28. CT-guided radiofrequency ablation (RFA) is among the thermal ablative procedures and provides great benefits with a minimally invasive procedure. In this prospective study, we aimed to reveal the significance ...

    Authors: Abdullah Soydan Mahmutoğlu, Fatma Zeynep Arslan, Mehmet Karagülle, Mehmet Semih Çakır and Özdeş Mahmutoğlu
    Citation: BMC Medical Imaging 2023 23:160
  29. There is a paucity of research investigating the application of machine learning techniques for distinguishing between lipid-poor adrenal adenoma (LPA) and subclinical pheochromocytoma (sPHEO) based on radiomi...

    Authors: Dao-xiong Xiao, Jian-ping Zhong, Ji-dong Peng, Cun-geng Fan, Xiao-chun Wang, Xing-lin Wen, Wei-wei Liao, Jun Wang and Xiao-feng Yin
    Citation: BMC Medical Imaging 2023 23:159
  30. Infiltrating tumor border configuration (iTBC) is assessed by postoperative pathological examination, thus, is not helpful for preoperative treatment strategies. The study aimed to detect iTBC by magnetic reso...

    Authors: Baohua Lv, Leilei Yuan, Jizheng Li, Xue Kong, Yanling Cheng, Kai Shang and Erhu Jin
    Citation: BMC Medical Imaging 2023 23:155
  31. Several machine learning (ML) classifiers for thyroid nodule diagnosis have been compared in terms of their accuracy, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV),...

    Authors: Jianguang Liang, Tiantian Pang, Weixiang Liu, Xiaogang Li, Leidan Huang, Xuehao Gong and Xianfen Diao
    Citation: BMC Medical Imaging 2023 23:154
  32. Cervical cancer patients receiving radiotherapy and chemotherapy require accurate survival prediction methods. The objective of this study was to develop a prognostic analysis model based on a radiomics score ...

    Authors: Jia Li, Hao Zhou, Xiaofei Lu, Yiren Wang, Haowen Pang, Daniel Cesar, Aiai Liu and Ping Zhou
    Citation: BMC Medical Imaging 2023 23:153
  33. This study evaluated the prevalence and types of intracranial lesions through dedicated imaging analysis of primary headaches in children and compared them between patients with and without migraine.

    Authors: Cha Woong Jeon, Gye Yeon Lim and Ja Un Moon
    Citation: BMC Medical Imaging 2023 23:152
  34. The safety and efficacy of 17-gauge needles used in CT-guided percutaneous cryoablation for lung nodules were explored in this study. The purpose of the study was to compare the findings with earlier research ...

    Authors: Wei-Chan Lin, Po-Ju Chen, Shelly Yim, Hsueh-Han Wang, Pen-An Liao, Chia-Yu Tai and Ming-Hong Yen
    Citation: BMC Medical Imaging 2023 23:151
  35. Medical images such as CT and X-ray have been widely used for the detection of several chest infections and lung diseases. However, these images are susceptible to different types of noise, and it is hard to r...

    Authors: Tapan Kumar Nayak, Chandra Sekhara Rao Annavarappu, Soumya Ranjan Nayak and Berihun Molla Gedefaw
    Citation: BMC Medical Imaging 2023 23:150
  36. To explore the feasibility of low-dose computed tomography (LDCT) with asynchronous quantitative computed tomography (asynchronous QCT) for assessing the volumetric bone mineral density (vBMD).

    Authors: Tingting Hu, Xingyuan Yang, Lei Gao, Ying Liu, Wei Zhang, Yan Wang, Xiaona Zhu, Xiangdong Liu, Hongran Liu and Xiaohui Ma
    Citation: BMC Medical Imaging 2023 23:149
  37. This study aimed to develop and validate radiomics models on the basis of computed tomography (CT) and clinical features for the prediction of pulmonary metastases (MT) in patients with Ewing sarcoma (ES) with...

    Authors: Ying Liu, Ping Yin, Jingjing Cui, Chao Sun, Lei Chen, Nan Hong and Zhentao Li
    Citation: BMC Medical Imaging 2023 23:147

    The Correction to this article has been published in BMC Medical Imaging 2023 23:157

  38. COVID-19, the global pandemic of twenty-first century, has caused major challenges and setbacks for researchers and medical infrastructure worldwide. The CoVID-19 influences on the patients respiratory system ...

    Authors: Syed Thouheed Ahmed, Syed Muzamil Basha, Muthukumaran Venkatesan, Sandeep Kumar Mathivanan, Saurav Mallik, Najah Alsubaie and Mohammed S. Alqahtani
    Citation: BMC Medical Imaging 2023 23:146

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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

    Speed 2023
    Submission to first editorial decision (median days): 13
    Submission to acceptance (median days): 177

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    Downloads: 951,496
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