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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. During the acquisition of MRI data, patient-, sequence-, or hardware-related factors can introduce artefacts that degrade image quality. Four of the most significant tasks for improving MRI image quality have ...

    Authors: Attila Simkó, Simone Ruiter, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Mikael Bylund and Joakim Jonsson
    Citation: BMC Medical Imaging 2023 23:148
  16. 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

  17. 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
  18. Radical concurrent chemoradiotherapy (CCRT) is frequently used as the first-line treatment for patients with locally advanced esophageal cancer. Unfortunately, some patients respond poorly. To predict response...

    Authors: Xu Cheng, Yuxin Zhang, Min Zhu, Ruixia Sun, Lingling Liu and Xueling Li
    Citation: BMC Medical Imaging 2023 23:145
  19. This study seeks to evaluate the value of MRI (Magnetic resonance imaging) diffusion weighted images (DWI), diffusion kurtosis imaging (DKI) and intravoxel incoherent motion (IVIM) in the diagnosis of cervical...

    Authors: Heng Meng, Xin Guo and Duo Zhang
    Citation: BMC Medical Imaging 2023 23:144
  20. A manual evaluation of the CI electrode position from CT and DVT scans may be affected by diagnostic errors due to cognitive biases. The aim of this study was to compare the CI electrode localization using an ...

    Authors: Alexander Mewes, Christopher Bennett, Jan Dambon, Goetz Brademann and Matthias Hey
    Citation: BMC Medical Imaging 2023 23:143
  21. Accurately segmenting the hippocampus is an essential step in brain tumor radiotherapy planning. Some patients undergo brain tumor resection beforehand, which can significantly alter the postoperative regions’...

    Authors: Changjuan Tao, Difei Gu, Rui Huang, Ling Zhou, Zhiqiang Hu, Yuanyuan Chen, Xiaofan Zhang and Hongsheng Li
    Citation: BMC Medical Imaging 2023 23:142
  22. The WHO grade and Ki-67 index are independent indices used to evaluate the malignant biological behavior of meningioma. This study aims to develop MRI-based machine learning models to predict the malignant bio...

    Authors: Maoyuan Li, Luzhou Liu, Jie Qi, Ying Qiao, Hanrui Zeng, Wen Jiang, Rui Zhu, Fujian Chen, Huan Huang and Shaoping Wu
    Citation: BMC Medical Imaging 2023 23:141
  23. Artificial intelligence has been widely investigated for diagnosis and treatment strategy design, with some models proposed for detecting oral pharyngeal, nasopharyngeal, or laryngeal carcinoma. However, no co...

    Authors: Lei Zhou, Huaili Jiang, Guangyao Li, Jiaye Ding, Cuicui Lv, Maoli Duan, Wenfeng Wang, Kongyang Chen, Na Shen and Xinsheng Huang
    Citation: BMC Medical Imaging 2023 23:140
  24. This study aimed to develop a computed tomography (CT) model to predict Ki-67 expression in hepatocellular carcinoma (HCC) and to examine the added value of radiomics to clinico-radiological features.

    Authors: Yu-meng Zhao, Shuang-shuang Xie, Jian Wang, Ya-min Zhang, Wen-Cui  Li, Zhao-Xiang Ye and Wen Shen
    Citation: BMC Medical Imaging 2023 23:138
  25. Cervical cell segmentation is a fundamental step in automated cervical cancer cytology screening. The aim of this study was to develop and evaluate a deep ensemble model for cervical cell segmentation includin...

    Authors: Jie Ji, Weifeng Zhang, Yuejiao Dong, Ruilin Lin, Yiqun Geng and Liangli Hong
    Citation: BMC Medical Imaging 2023 23:137
  26. To investigate the brain structural correlates of postoperative axial pain (PAP) in degenerative cervical myelopathy (DCM) following posterior cervical decompression surgery.

    Authors: Aixian Tian, Hongzhi Gao, Zhan Wang, Na Li, Jianxiong Ma, Lin Guo and Xinlong Ma
    Citation: BMC Medical Imaging 2023 23:136
  27. Continuous release of image databases with fully or partially identical inner categories dramatically deteriorates the production of autonomous Computer-Aided Diagnostics (CAD) systems for true comprehensive m...

    Authors: Muhammad Atta Othman Ahmed, Ibrahim A. Abbas and Yasser AbdelSatar
    Citation: BMC Medical Imaging 2023 23:134
  28. To identify CT features and establish a nomogram, compared with a machine learning-based model for distinguishing gastrointestinal heterotopic pancreas (HP) from gastrointestinal stromal tumor (GIST).

    Authors: Na Feng, Hai-Yan Chen, Xiao-Jie Wang, Yuan-Fei Lu, Jia-Ping Zhou, Qiao-Mei Zhou, Xin-Bin Wang, Jie-Ni Yu, Ri-Sheng Yu and Jian-Xia Xu
    Citation: BMC Medical Imaging 2023 23:131
  29. The usefulness of endometrium strain elastosonography (SE) for the evaluation of endometrial receptivity in women undergoing in vitro fertilization (IVF) remains controversial. The objective of this prospectiv...

    Authors: Antonio Stanziano, Francesco Paolo Bianchi, Anna Maria Caringella, Clementina Cantatore, Antonio D’Amato, Angela Vitti, Anna Cortone, Amerigo Vitagliano and Giuseppe D’Amato
    Citation: BMC Medical Imaging 2023 23:130
  30. Bronchogenic cysts (BCs) are rare and usually asymptomatic malformations detected during imaging examinations. We aimed to investigate the clinical and imaging characteristics of patients with BCs.

    Authors: Tan-tan Ma, Geng Chen, Dan Wang, Hong Xu and Jian-guang Zhang
    Citation: BMC Medical Imaging 2023 23:128
  31. In studies of the association of adiposity with disease risk, widely used anthropometric measures of adiposity (e.g. body-mass-index [BMI], waist circumference [WC], waist-hip ratio [WHR]) are simple and inexp...

    Authors: Sofia Mouchti, Josefina Orliacq, Gillian Reeves and Zhengming Chen
    Citation: BMC Medical Imaging 2023 23:127
  32. Hybrid quantum systems have shown promise in image classification by combining the strengths of both classical and quantum algorithms. These systems leverage the parallel processing power of quantum computers ...

    Authors: Naim Ajlouni, Adem Özyavaş, Mustafa Takaoğlu, Faruk Takaoğlu and Firas Ajlouni
    Citation: BMC Medical Imaging 2023 23:126
  33. The purpose of this study was to determine whether radiological measurements of radial fracture position made in cone beam computed tomography (CBCT) projection images are comparable to those made on tradition...

    Authors: Kristian Bry, Mika Kortesniemi, Mika Koivikko and Liisa Kerttula
    Citation: BMC Medical Imaging 2023 23:125
  34. Brain extraction is an essential prerequisite for the automated diagnosis of intracranial lesions and determines, to a certain extent, the accuracy of subsequent lesion recognition, location, and segmentation....

    Authors: Dingyuan Hu, Hongbin Liang, Shiya Qu, Chunyu Han and Yuhang Jiang
    Citation: BMC Medical Imaging 2023 23:124
  35. To compare the inter-modality consistency and diagnostic performances of the contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) and contrast-enhanced computed tomography (CEC...

    Authors: Rong Wen, Weiche Huang, Rui Song, Lanhui Qin, Yuquan Wu, Yuting Peng, Xiongyan Huang, Yun He and Hong Yang
    Citation: BMC Medical Imaging 2023 23:122
  36. Few studies have explored the clinical feasibility of using deep-learning reconstruction to reduce the radiation dose of CT. We aimed to compare the image quality and lung nodule detectability between chest CT...

    Authors: Gyeong Deok Jo, Chulkyun Ahn, Jung Hee Hong, Da Som Kim, Jongsoo Park, Hyungjin Kim, Jong Hyo Kim, Jin Mo Goo and Ju Gang Nam
    Citation: BMC Medical Imaging 2023 23:121
  37. To develop a fully automated CNN detection system based on magnetic resonance imaging (MRI) for ACL injury, and to explore the feasibility of CNN for ACL injury detection on MRI images.

    Authors: Chen Liang, Xiang Li, Yong Qin, Minglei Li, Yingkai Ma, Ren Wang, Xiangning Xu, Jinping Yu, Songcen Lv and Hao Luo
    Citation: BMC Medical Imaging 2023 23:120
  38. To investigate the diagnostic performance of parameters derived from monoexponential, biexponential, and stretched-exponential diffusion-weighted imaging models in differentiating tumour progression from pseud...

    Authors: Dan Liao, Yuan-Cheng Liu, Jiang-Yong Liu, Di Wang and Xin-Feng Liu
    Citation: BMC Medical Imaging 2023 23:119
  39. To predict ductal carcinoma in situ with microinvasion (DCISMI) based on clinicopathologic, conventional breast magnetic resonance imaging (MRI), and dynamic contrast enhanced MRI (DCE-MRI) radiomics signature...

    Authors: Zhou Huang, Xue Chen, Nan Jiang, Su Hu and Chunhong Hu
    Citation: BMC Medical Imaging 2023 23:118

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