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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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

  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. Acute closed volar plate injury of the proximal interphalangeal joint (PIP) is a common hand injury. In the past, there were few objective evaluation imaging methods for the degree of volar plate injury. The p...

    Authors: Tiezheng Wang, Fei Guo, Hengtao Qi, Liyuan Cui, Lihua Liu, Shougang Bao and Jianbo Teng
    Citation: BMC Medical Imaging 2023 23:117
  34. Incidental thymus region masses during thoracic examinations are not uncommon. The clinician’s decision-making for treatment largely depends on imaging findings. Due to the lack of specific indicators, it may ...

    Authors: Xue-Fang Lu and Tie-Yuan Zhu
    Citation: BMC Medical Imaging 2023 23:115
  35. In recent years, contrast-enhanced ultrasonography (CEUS) has been used for various applications in breast diagnosis. The superiority of CEUS over conventional B-mode imaging in the ultrasound diagnosis of the...

    Authors: Satoshi Kondo, Megumi Satoh, Mutsumi Nishida, Ryousuke Sakano and Kazuya Takagi
    Citation: BMC Medical Imaging 2023 23:114
  36. This study aimed to develop and validate a deep learning-based method that detects inter-breath-hold motion from an estimated cardiac long axis image reconstructed from a stack of short axis cardiac cine images.

    Authors: Yoon-Chul Kim and Min Woo Kim
    Citation: BMC Medical Imaging 2023 23:113
  37. On the basis of visual-dependent reading method, radiological recognition and assessment of neonatal hyperbilirubinemia (NH) or acute bilirubin encephalopathy (ABE) on conventional magnetic resonance imaging (...

    Authors: Yan Sun, Yi Liao, Fenglin Jia, Gang Ning, Xinrong Wang, Yujin Zhang, Pei Li and Haibo Qu
    Citation: BMC Medical Imaging 2023 23:112
  38. To build a combined model based on the ultrasound radiomic and morphological features, and evaluate its diagnostic performance for preoperative prediction of central lymph node metastasis (CLNM) in patients wi...

    Authors: Xiang Yan, Xurong Mou, Yanan Yang, Jing Ren, Xingxu Zhou, Yifei Huang and Hongmei Yuan
    Citation: BMC Medical Imaging 2023 23:111
  39. Spectral CT imaging parameters have been reported to be useful in the differentiation of pathological grades in different malignancies. This study aims to investigate the value of spectral CT in the quantitati...

    Authors: Yi Wang, Weizhong Tian, Shuangfeng Tian, Liang He, Jianguo Xia and Ji Zhang
    Citation: BMC Medical Imaging 2023 23:110
  40. Dental film mounting is an essential but time-consuming task in dental radiography, with manual methods often prone to errors. This study aims to develop a deep learning (DL) model for accurate automated class...

    Authors: Yu-Chun Lin, Meng-Chi Chen, Cheng-Hsueh Chen, Mu-Hsiung Chen, Kang-Yi Liu and Cheng-Chun Chang
    Citation: BMC Medical Imaging 2023 23:109

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