Articles

Predicting pathologic response to neoadjuvant chemotherapy in patients with locally advanced breast cancer using multiparametric MRI

This study aims to observe and analyze the effect of diffusion weighted magnetic resonance imaging (MRI) on the patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy.

Authors: Nannan Lu, Jie Dong, Xin Fang, Lufang Wang, Wei Jia, Qiong Zhou, Lingyu Wang, Jie Wei, Yueyin Pan and Xinghua Han

GACDN: generative adversarial feature completion and diagnosis network for COVID-19

The outbreak of coronavirus disease 2019 (COVID-19) causes tens of million infection world-wide. Many machine learning methods have been proposed for the computer-aided diagnosis between COVID-19 and community...

Authors: Qi Zhu, Haizhou Ye, Liang Sun, Zhongnian Li, Ran Wang, Feng Shi, Dinggang Shen and Daoqiang Zhang

Correction to: Evaluation of non-invasive imaging parameters in coronary microvascular disease: a systematic review

Authors: F. Groepenhof, R. G. M. Klaassen, G. B. Valstar, S. H. Bots, N. C. Onland-Moret, H. M. Den Ruijter, T. Leiner and A. L. M. Eikendal

Evidence and assessment of parenchymal patterns of ultrasonography for breast cancer detection among Chinese women: a cross-sectional study

Screening of breast cancer in asymptomatic women is important to evaluate for early diagnosis. In China ultrasound is a more frequently used method than mammography for the detection of breast cancer. The obje...

Authors: Zhongtao Bao, Yanchun Zhao, Shuqiang Chen, Xiaoyu Chen, Xiang Xu, Linglin Wei and Ling Chen

Classification of moving coronary calcified plaques based on motion artifacts using convolutional neural networks: a robotic simulating study on influential factors

Motion artifacts affect the images of coronary calcified plaques. This study utilized convolutional neural networks (CNNs) to classify the motion-contaminated images of moving coronary calcified plaques and to...

Authors: Magdalena Dobrolińska, Niels van der Werf, Marcel Greuter, Beibei Jiang, Riemer Slart and Xueqian Xie

Predicting the expression level of Ki-67 in breast cancer using multi-modal ultrasound parameters

This study investigated the feasibility of predicting the expression levels of Ki-67 in breast cancer using ultrasonographic findings and clinical features.

Authors: Chen Cheng, Hongyan Zhao, Wei Tian, Chunhong Hu and Haitao Zhao

Multimodel magnetic resonance imaging of mass-forming autoimmune pancreatitis: differential diagnosis with pancreatic ductal adenocarcinoma

To assess the value of the multimodel magnetic resonance imaging (MRI), including unenhanced images, dynamic contrast-enhanced MRI (DCE-MRI), MR-cholangiopancreatography (MRCP), and diffusion-weighted imaging ...

Authors: Huihui Jia, Jialin Li, Wenjun Huang and Guangwu Lin

Diagnosis of cervical plexus tumours by high-frequency ultrasonography

Cervical plexus (CP) tumours are difficult to diagnose because of atypical symptoms. This study aimed to summarize the features of a normal CP and CP tumours observed on high-frequency ultrasonography.

Authors: Wenqing Gong, Jing Wang, Liwei Huang, Xu Yang, Dingzhang Chen and Minjuan Zheng

Developing a model for estimating infarction onset time based on computed tomography radiomics in patients with acute middle cerebral artery occlusion

Radiomics analysis is a newly emerging quantitative image analysis technique. The aim of this study was to extract a radiomics signature from the computed tomography (CT) imaging to determine the infarction on...

Authors: Xuehua Wen, Zhenyu Shu, Yumei Li, Xingfei Hu and Xiangyang Gong

Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction

Efforts to reduce the radiation dose have continued steadily, with new reconstruction techniques. Recently, image denoising algorithms using artificial neural networks, termed deep learning reconstruction (DLR...

Authors: Haesung Yoon, Jisoo Kim, Hyun Ji Lim and Mi-Jung Lee

The role of pre-treatment and mid-treatment 18F-FDG PET/CT imaging in evaluating prognosis of peripheral T-cell lymphoma-not otherwise specified (PTCL-NOS)

It has been reported the prognostic value of MTV in predicting the disease prognosis of peripheral T-cell lymphoma (PTCL) through pre-treatment PET/CT imaging. However, these are limited data on pretreatment e...

Authors: Yafei Zhang, Guangfa Wang, Xin Zhao, Yongxian Hu, Elaine Tan Su Yin, Donghe Chen, Huatao Wang and Kui Zhao

Reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging

Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique used for evaluating changes in the white matter in brain parenchyma. The reliability of quantitative DTI analysis is influenced by...

Authors: Ullamari Hakulinen, Antti Brander, Tero Ilvesmäki, Mika Helminen, Juha Öhman, Teemu M. Luoto and Hannu Eskola

RSNA and BSTI grading systems of COVID-19 pneumonia: comparison of the diagnostic performance and interobserver agreement

This study aimed to compare the performance and interobservers agreement of cases with findings on chest CT based on the British Society of Thoracic Imaging (BSTI) guideline statement of COVID-19 and the Radio...

Authors: Seyhmus Kavak and Recai Duymus

The reporting quality of natural language processing studies: systematic review of studies of radiology reports

Automated language analysis of radiology reports using natural language processing (NLP) can provide valuable information on patients’ health and disease. With its rapid development, NLP studies should have tr...

Authors: Emma M. Davidson, Michael T. C. Poon, Arlene Casey, Andreas Grivas, Daniel Duma, Hang Dong, Víctor Suárez-Paniagua, Claire Grover, Richard Tobin, Heather Whalley, Honghan Wu, Beatrice Alex and William Whiteley

An adaptive optimal viewing angle determination algorithm for TEVAR operation

The determination of the right x-ray angiography viewing angle is an important issue during the treatment of thoracic endovascular aortic repair (TEVAR). An inaccurate projection angle (manually determined tod...

Authors: Weiya Sun, Guanyu Yang, Yang Chen and Huazhong Shu

Differentiating T1a–T1b from T2 in gastric cancer lesions with three different measurement approaches based on contrast-enhanced T1W imaging at 3.0 T

To explore the diagnostic value of three different measurement approaches in differentiating T1a–T1b from T2 gastric cancer (GC) lesions.

Authors: Yuan Yuan, Shengnan Ren, Tiegong Wang, Fu Shen, Qiang Hao and Jianping Lu

Multiparametric MRI analysis for the evaluation of renal function in patients with hyperuricemia: a preliminary study

To investigate the renal dysfunction in patients with hyperuricemia by employing a multiparametric MRI protocol, consisting of quantitative water molecule diffusion, microstructure, microscopic perfusion, and ...

Authors: You-Zhen Feng, Xiang-Nan Dong, Qi-Ting Lin, Ping-Kang Chen, Xiao-Qing Xiong, SiTu DingKun, Long Qian, Zhong-Yuan Cheng and Xiang-Ran Cai

An automated liver segmentation in liver iron concentration map using fuzzy c-means clustering combined with anatomical landmark data

To estimate median liver iron concentration (LIC) calculated from magnetic resonance imaging, excluded vessels of the liver parenchyma region were defined manually. Previous works proposed the automated method...

Authors: Kittichai Wantanajittikul, Pairash Saiviroonporn, Suwit Saekho, Rungroj Krittayaphong and Vip Viprakasit

Correction to: Whole brain 3D MR fingerprinting in multiple sclerosis: a pilot study

Authors: Thomaz R. Mostardeiro, Ananya Panda, Norbert G. Campeau, Robert J. Witte, Nicholas B. Larson, Yi Sui, Aiming Lu and Kiaran P. McGee

Imaging features of skeletal muscle lymphoma: a case report and literature review

Diffuse large B cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma (NHL), occurring predominantly in older people. Skeletal muscle lymphoma is a rare form of DLBCL, most frequently affecting...

Authors: Shuxi Gao, Hong Shu and Hua Yang

Signal and morphological changes in the endolymph of patients with vestibular schwannoma on non-contrast 3D FLAIR at 3 Tesla

Non-contrast FLAIR revealed increased signal within the inner ear in patients with vestibular schwannoma, which is generally assumed to occur in the perilymph; however, the majority of previous studies did not...

Authors: Iichiro Osawa, Eito Kozawa, Sayuri Tanaka, Akane Kaizu, Kaiji Inoue, Tetsuo Ikezono, Takamitsu Fujimaki and Mamoru Niitsu

Changes in magnetic resonance imaging relaxation time on postmortem magnetic resonance imaging of formalin-fixed human normal heart tissue

Postmortem magnetic resonance imaging (MRI) has been used to investigate the cause of death, but due to time constraints, it is not widely applied to the heart. Therefore, MRI analysis of the heart after forma...

Authors: Kiyokadzu Ebata, Sakon Noriki, Kunihiro Inai and Hirohiko Kimura

Changes of [¹⁸F]FDG-PET/CT quantitative parameters in tumor lesions by the Bayesian penalized-likelihood PET reconstruction algorithm and its influencing factors

To compare the changes in quantitative parameters and the size and degree of ¹⁸F-fluorodeoxyglucose ([¹⁸F]FDG) uptake of malignant tumor lesions between Bayesian penalized-likelihood (BPL) and non-BPL reconstruct...

Authors: Yao Liu, Mei-jia Gao, Jie Zhou, Fan Du, Liang Chen, Zhong-ke Huang, Ji-bo Hu and Cen Lou

Feasibility study of simultaneous multislice diffusion kurtosis imaging with different acceleration factors in the liver

Simultaneous multislice diffusion-weighted imaging (SMS-DWI) has been used to reduce image acquisition time. The purpose of this study was to investigate the feasibility of diffusion kurtosis imaging (DKI) bas...

Authors: Hui Xu, Nan Zhang, Da-Wei Yang, Ahong Ren, Hao Ren, Qian Zhang, Jin-Xia Zhu, Gui-Jin Li and Zheng-Han Yang

Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network

We aimed to construct an artificial intelligence (AI) guided identification of suspicious bone metastatic lesions from the whole-body bone scintigraphy (WBS) images by convolutional neural networks (CNNs).

Authors: Yemei Liu, Pei Yang, Yong Pi, Lisha Jiang, Xiao Zhong, Junjun Cheng, Yongzhao Xiang, Jianan Wei, Lin Li, Zhang Yi, Huawei Cai and Zhen Zhao

Intelligent localization and quantitative evaluation of anterior talofibular ligament injury using magnetic resonance imaging of ankle

There is a high incidence of injury to the lateral ligament of the ankle in daily living and sports activities. The anterior talofibular ligament (ATFL) is the most frequent types of ankle injuries. It is of g...

Authors: Wen Yan, Xianghong Meng, Jinglai Sun, Hui Yu and Zhi Wang

Pneumatosis intestinalis and porto-mesenteric venous gas: a multicenter study

Estimating the prognosis of patients with pneumatosis intestinalis (PI) and porto-mesenteric venous gas (PMVG) can be challenging. The purpose of this study was to refine prognostication to improve decision ma...

Authors: Marta Della Seta, Roman Kloeckner, Daniel Pinto dos Santos, Thula Cannon Walter-Rittel, Felix Hahn, Jörn Henze, Annika Gropp, Johann Pratschke, Bernd Hamm, Dominik Geisel and Timo Alexander Auer

Micro-CT yields high image quality in human fetal post-mortem imaging despite maceration

Current clinical post-mortem imaging techniques do not provide sufficiently high-resolution imaging for smaller fetuses after pregnancy loss. Post-mortem micro-CT is a non-invasive technique that can deliver h...

Authors: Ian Craig Simcock, Susan Cheng Shelmerdine, Dean Langan, Guy Anna, Neil James Sebire and Owen John Arthurs

Aerodynamic characteristics in upper airways among orthodontic patients and its association with adenoid nasopharyngeal ratios in lateral cephalograms

Adenoid hypertrophy among orthodontic patients may be detected in lateral cephalograms. The study investigates the aerodynamic characteristics within the upper airway (UA) by means of computational fluid dynam...

Authors: Xin Feng, Yicheng Chen, Weihua Cai, Stein Atle Lie, Kristina Hellén-Halme and Xie-Qi Shi

Anatomical and positional variants of the brachiocephalic trunk in a Mexican population

Brachiocephalic trunk (BCT) variants may have a clinical impact during surgical procedures, some of which could be fatal. The objective of this study was to classify height positions of the BCT and report thei...

Authors: Nadia Gabriela Jasso-Ramírez, Rodrigo E. Elizondo-Omaña, Ingrid Abigail Garza-Rico, Kouatzin Aguilar-Morales, Alejandro Quiroga-Garza, Guillermo Elizondo-Riojas, José Luis Treviño-González and Santos Guzman-Lopez

Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement

Accurate measurement of hemorrhage volume is critical for both the prediction of prognosis and the selection of appropriate clinical treatment after spontaneous intracerebral hemorrhage (ICH). This study aimed...

Authors: Tao Wang, Na Song, Lingling Liu, Zichao Zhu, Bing Chen, Wenjun Yang and Zhiqiang Chen

An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs

Panoramic radiography is an imaging method for displaying maxillary and mandibular teeth together with their supporting structures. Panoramic radiography is frequently used in dental imaging due to its relativ...

Authors: Elif Bilgir, İbrahim Şevki Bayrakdar, Özer Çelik, Kaan Orhan, Fatma Akkoca, Hande Sağlam, Alper Odabaş, Ahmet Faruk Aslan, Cemre Ozcetin, Musa Kıllı and Ingrid Rozylo-Kalinowska

Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans

To assess the potential of radiomic features to quantify components of blood in intraaortic vessels to non-invasively predict moderate-to-severe anemia in non-contrast enhanced CT scans.

Authors: Scherwin Mahmoudi, Simon S. Martin, Jörg Ackermann, Yauheniya Zhdanovich, Ina Koch, Thomas J. Vogl, Moritz H. Albrecht, Lukas Lenga and Simon Bernatz

dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis

Functional imaging especially the SPECT bone scintigraphy has been accepted as the effective clinical tool for diagnosis, treatment, evaluation, and prevention of various diseases including metastasis. However...

Authors: Qiang Lin, Chuangui Cao, Tongtong Li, Zhengxing Man, Yongchun Cao and Haijun Wang

The potential role of T2*-weighted multi-echo data image combination as an imaging marker for intraplaque hemorrhage in carotid plaque imaging

Carotid atherosclerotic plaques with intraplaque hemorrhage (IPH) are associated with elevated stroke risk. IPH is predominantly imaged based on paramagnetic properties of the upstream hemoglobin degradation prod...

Authors: My Truong, Claes Håkansson, Makda HaileMichael, Jonas Svensson, Jimmy Lätt, Karin Markenroth Bloch, Roger Siemund, Isabel Gonçalves and Johan Wassélius

A vein-viewing application enabled detecting abdominal wall varices related to the presence of non-treated gastroesophageal varices: a cross-sectional study

Gastroesophageal varices (GOV) are a life-threatening complication in chronic liver disease. A method for non-invasively predicting GOV is crucial for management. This study aimed to determine whether a vein-v...

Authors: Yoshiki Hoshino, Takaaki Sugihara, Suguru Ikeda, Yukako Matsuki, Takakazu Nagahara, Jun-ichi Okano and Hajime Isomoto

Towards improving edge quality using combinatorial optimization and a novel skeletonize algorithm

Object detection and image segmentation of regions of interest provide the foundation for numerous pipelines across disciplines. Robust and accurate computer vision methods are needed to properly solve image-b...

Authors: Marvin Arnold, Stefanie Speidel and Georges Hattab

Visualization of the human enteric nervous system by probe confocal laser endomicroscopy: a first real-time observation of Hirschsprung’s disease and allied disorders

Our group previously proved that the human enteric nervous system can be visualized with confocal laser endomicroscopy after topical application of cresyl violet using surgically resected intestine specimens. ...

Authors: Atsushi Harada, Naoki Shimojima, Masakuni Kobayashi, Shunsuke Kamba, Seiichi Hirobe and Kazuki Sumiyama

Monitoring the efficacy of tumor necrosis factor alpha antagonists in the treatment of Ankylosing spondylarthritis: a pilot study based on MR relaxometry technique

SpA is a disease that seriously affects the quality of life and working ability of patients. At present, there is a lack of scientific and effective quantitative indicators to evaluate the activity of sacroili...

Authors: Mingui Lin, Xianyuan Chen, Shun Yu, Fei Gao and Mingping Ma

Extracellular volume-guided late gadolinium enhancement analysis for non-ischemic cardiomyopathy: The Women’s Interagency HIV Study

Quantification of non-ischemic myocardial scar remains a challenge due to the patchy diffuse nature of fibrosis. Extracellular volume (ECV) to guide late gadolinium enhancement (LGE) analysis may achieve a rob...

Authors: Yoko Kato, Jorge R. Kizer, Mohammad R. Ostovaneh, Jason Lazar, Qi Peng, Rob J. van der Geest, Joao A. C. Lima and Bharath Ambale-Venkatesh

Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy

The aim of this study was to investigate the potential use of renal ultrasonography radiomics features in the histologic classification of glomerulopathy.

Authors: Lijie Zhang, Zhengguang Chen, Lei Feng, Liwei Guo, Dong Liu, Jinjin Hai, Kai Qiao, Jian Chen, Bin Yan and Genyang Cheng

Retroperitoneum ganglioneuroma: imaging features and surgical outcomes of 35 cases at a Chinese Institution

The preoperative evaluation is crucial for diagnosis and surgical plan of retroperitoneum ganglioneuroma (GN). In this study, we reviewed a relatively large series of histopathological proved retroperitoneum G...

Authors: Qian-Wen Zhang, Tao Song, Pan-Pan Yang and Qiang Hao

An evaluation of performance measures for arterial brain vessel segmentation

Arterial brain vessel segmentation allows utilising clinically relevant information contained within the cerebral vascular tree. Currently, however, no standardised performance measure is available to evaluate...

Authors: Orhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, Dietmar Frey and Vince Istvan Madai

Three-stage segmentation of lung region from CT images using deep neural networks

Lung region segmentation is an important stage of automated image-based approaches for the diagnosis of respiratory diseases. Manual methods executed by experts are considered the gold standard, but it is time...

Authors: Michael Osadebey, Hilde K. Andersen, Dag Waaler, Kristian Fossaa, Anne C. T. Martinsen and Marius Pedersen

Hahn-PCNN-CNN: an end-to-end multi-modal brain medical image fusion framework useful for clinical diagnosis

In medical diagnosis of brain, the role of multi-modal medical image fusion is becoming more prominent. Among them, there is no lack of filtering layered fusion and newly emerging deep learning algorithms. The...

Authors: Kai Guo, Xiongfei Li, Xiaohan Hu, Jichen Liu and Tiehu Fan

Magnetic resonance imaging-guided lumbar nerve root infiltrations: optimization of an in-house protocol

For the treatment of radicular pain, nerve root infiltrations can be performed under MRI guidance in select, typically younger, patients where repeated CT exams are not desirable due to associated radiation ri...

Authors: Max Scheffler, Pauline Coralie Guillemin, Orane Lorton, Enrique Maturana, Nicolas Lauper, Dennis E. Dominguez, Sylvain Terraz, Pierre-Alexandre Poletti, Rares Salomir and Sana Boudabbous

Aggregation-and-Attention Network for brain tumor segmentation

Glioma is a malignant brain tumor; its location is complex and is difficult to remove surgically. To diagnosis the brain tumor, doctors can precisely diagnose and localize the disease using medical images. How...

Authors: Chih-Wei Lin, Yu Hong and Jinfu Liu

Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection

To evaluate the performance of a Deep Learning Image Reconstruction (DLIR) algorithm in pediatric head CT for improving image quality and lesion detection with 0.625 mm thin-slice images.

Authors: Jihang Sun, Haoyan Li, Bei Wang, Jianying Li, Michelle Li, Zuofu Zhou and Yun Peng

Lesion probability mapping in MS patients using a regression network on MR fingerprinting

To develop a regression neural network for the reconstruction of lesion probability maps on Magnetic Resonance Fingerprinting using echo-planar imaging (MRF-EPI) in addition to ...

Authors: Ingo Hermann, Alena K. Golla, Eloy Martínez-Heras, Ralf Schmidt, Elisabeth Solana, Sara Llufriu, Achim Gass, Lothar R. Schad and Frank G. Zöllner

Validity of ultrasonography-derived predictions for estimating skeletal muscle volume: a systematic literature review

The amount of muscle volume (MV) varies between individuals and is important for health, well-being and performance. Therefore, the monitoring of MV using different imaging modalities is important. Magnetic re...

Authors: Rasmus Liegnell, Fredrik Wessman, Adel Shalabi and Marita Harringe