Issue 5/2023
Content (75 Articles)
Incremental diagnostic value of radiomics signature of pericoronary adipose tissue for detecting functional myocardial ischemia: a multicenter study
Ke Zhou, Jin Shang, Yan Guo, Shaowei Ma, Bin Lv, Na Zhao, Hui Liu, Jiayin Zhang, Lei Xv, Yining Wang, Ting Liu, Kunhua Wang, Yuxue Dang, Yue Ma, Xujiao Chen, Na Zhu, Zhizhen Ran, Shanshan Li, Quanmei Ma, Hong Hu, Xiaolong Zhu, Dongyu Li, Yang Hou
Impact of coronary plaque characteristics on periprocedural myocardial injury in elective percutaneous coronary intervention
Kyohei Usami, Hiroaki Watabe, Tomoya Hoshi, Shunsuke Sakai, Daigo Hiraya, Akira Sato, Masaki Ieda
The prognostic value of CT-derived fractional flow reserve in coronary artery bypass graft: a retrospective multicenter study
Zi Yue Zu, Peng Peng Xu, Qian Chen, Yan Chun Chen, Jian Chen Qi, Chun Xiang Tang, Chang Sheng Zhou, Cheng Xu, Xin Jie Sun, Meng Jie Lu, Guang Ming Lu, Yi Ning Wang, Yi Xu, Long Jiang Zhang
Predictive performance of the perivascular fat attenuation index for interventional antegrade percutaneous coronary intervention for chronic total occlusion
Yue Xi, Lei Huang, Junhai Hao, Chun Luo, Jinglei Li, Yuhao Dong, Guisen Lin, Jian Zhuang, Qianjun Jia, Meiping Huang
Prognostic value of coronary CT angiography in heart failure patients with preserved ejection fraction
Meng-Meng Yu, Wu-Xu Zuo, Xin Zhao, Xiang-Lin Tang, Yin-Yin Chen, Li-Li Dong, Xian-Hong Shu, Hang Jin, Meng-Su Zeng
CT texture analysis reliability in pulmonary lesions: the influence of 3D vs. 2D lesion segmentation and volume definition by a Hounsfield-unit threshold
Gabriel Adelsmayr, Michael Janisch, Ann-Katrin Kaufmann-Bühler, Magdalena Holter, Emina Talakic, Elmar Janek, Andreas Holzinger, Michael Fuchsjäger, Helmut Schöllnast
An ordinal radiomic model to predict the differentiation grade of invasive non-mucinous pulmonary adenocarcinoma based on low-dose computed tomography in lung cancer screening
Yong Li, Jieke Liu, Xi Yang, Ai Wang, Chi Zang, Lu Wang, Changjiu He, Libo Lin, Haomiao Qing, Jing Ren, Peng Zhou
Tumour–pleura relationship on CT is a risk factor for occult lymph node metastasis in peripheral clinical stage IA solid adenocarcinoma
Chengzhou Zhang, Liping Wang, Xiaoting Cai, Mengfei Li, Dandan Sun, Ping Wang
Improving the efficiency of identifying malignant pulmonary nodules before surgery via a combination of artificial intelligence CT image recognition and serum autoantibodies
Yu Ding, Jingyu Zhang, Weitao Zhuang, Zhen Gao, Kaiming Kuang, Dan Tian, Cheng Deng, Hansheng Wu, Rixin Chen, Guojie Lu, Gang Chen, Paolo Mendogni, Marcello Migliore, Min-Woong Kang, Ryu Kanzaki, Yong Tang, Jiancheng Yang, Qiuling Shi, Guibin Qiao
Publications on COVID-19 in radiology journals in 2020 and 2021: bibliometric citation and co-citation network analysis
Antonio Navarro-Ballester, José A. Merino-Bonilla, Luis H. Ros-Mendoza, Santiago F. Marco-Doménech
Pulmonary emphysema and coronary artery calcifications at baseline LDCT and long-term mortality in smokers and former smokers of the ITALUNG screening trial
Mario Mascalchi, Chiara Romei, Chiara Marzi, Stefano Diciotti, Giulia Picozzi, Francesco Pistelli, Marco Zappa, Eugenio Paci, Francesca Carozzi, Giuseppe Gorini, Fabio Falaschi, Anna Lisa Deliperi, Gianna Camiciottoli, Laura Carrozzi, Donella Puliti
Facilitating combined biopsy and percutaneous microwave ablation of pulmonary ground-glass opacities using lipiodol localisation
Min Meng, Guanghui Huang, Jiao Wang, Wenhong Li, Yang Ni, Tiehong Zhang, Xiaoying Han, Jianjian Dai, Zhigeng Zou, Xia Yang, Xin Ye
COVID-19 imaging, where do we go from here? Bibliometric analysis of medical imaging in COVID-19
Ru Wen, Mudan Zhang, Rui Xu, Yingming Gao, Lin Liu, Hui Chen, Xingang Wang, Wenyan Zhu, Huafang Lin, Chen Liu, Xianchun Zeng
Prognostic value of deep learning–based fibrosis quantification on chest CT in idiopathic pulmonary fibrosis
Ju Gang Nam, Yunhee Choi, Sang-Min Lee, Soon Ho Yoon, Jin Mo Goo, Hyungjin Kim
Improving puncture accuracy in percutaneous CT-guided needle insertion with wireless inertial measurement unit: a phantom study
Chia-Ying Lin, Wen-Ruei Tang, Po-Chang Chiang, Jenn-Jier James Lien, Pei-Yi Tseng, Yi-Sheng Liu, Chao-Chun Chang, Yau-Lin Tseng
Intranodal dynamic contrast-enhanced CT lymphangiography and dynamic contrast-enhanced MR lymphangiography in microminipig
Yukichi Tanahashi, Shinichi Shoda, Hiroshi Kawada, Tomohiro Ando, Shoma Nagata, Masaki Takasu, Fuminori Hyodo, Satoshi Goshima, Takashi Mori, Masayuki Matsuo
Extensor carpi ulnaris tendon pathology and ulnar styloid bone marrow edema as diagnostic markers of peripheral triangular fibrocartilage complex tears on wrist MRI: a case–control study
Mika T. Nevalainen, Adam C. Zoga, Michael Rivlin, William B. Morrison, Johannes B. Roedl
The value of different involvement patterns of the knee “synovio-entheseal complex” in the differential diagnosis of spondyloarthritis, rheumatoid arthritis, and osteoarthritis: an MRI-based study
Boya Li, Zikang Guo, Jin Qu, Ying Zhan, Zhiwei Shen, Xinwei Lei
Performance of a deep convolutional neural network for MRI-based vertebral body measurements and insufficiency fracture detection
Christoph Germann, André N. Meyer, Matthias Staib, Reto Sutter, Benjamin Fritz
Diagnostic value of a new axial loading MRI device in patients with suspected lumbar spinal stenosis
Xingyu Fang, Jialin Li, Liwei Wang, Lin Liu, Wei Lv, Zhiquan Tang, Daifeng Gao
Development of a machine learning-based fine-grained risk stratification system for thyroid nodules using predefined clinicoradiological features
Eun Ju Ha, Jeong Hoon Lee, Da Hyun Lee, Dong Gyu Na, Ji-hoon Kim
Validation of a semi-automatic method to measure total liver volumes in polycystic liver disease on computed tomography — high speed and accuracy
Sophie E. Aapkes, Thijs R. M. Barten, Walter Coudyzer, Joost P. H. Drenth, Ivo M. A. Geijselaers, Sterre A. M. ter Grote, Ron T. Gansevoort, Frederik Nevens, Maatje D. A. van Gastel
Association of computed tomography-based body composition with survival in metastatic renal cancer patient received immunotherapy: a multicenter, retrospective study
Jun Wang, Pei Dong, Yuanyuan Qu, Wenhao Xu, Zhaohui Zhou, Kang Ning, Yulu Peng, Longbin Xiong, Zhen Li, Xiangpeng Zou, Zhenhua Liu, Mingzhao Li, Zhisong He, Junhang Luo, Xi Tian, Hailiang Zhang, Shengjie Guo, Hui Han, Fangjian Zhou, Shaohan Yin, Dingwei Ye, Chunping Yu, Zhiling Zhang
Fully automated accurate patient positioning in computed tomography using anterior–posterior localizer images and a deep neural network: a dual-center study
Yazdan Salimi, Isaac Shiri, Azadeh Akavanallaf, Zahra Mansouri, Hossein Arabi, Habib Zaidi
Deep learning-based reconstruction can improve the image quality of low radiation dose head CT
Yasunori Nagayama, Koya Iwashita, Natsuki Maruyama, Hiroyuki Uetani, Makoto Goto, Daisuke Sakabe, Takafumi Emoto, Kengo Nakato, Shinsuke Shigematsu, Yuki Kato, Sentaro Takada, Masafumi Kidoh, Seitaro Oda, Takeshi Nakaura, Masahiro Hatemura, Mitsuharu Ueda, Akitake Mukasa, Toshinori Hirai
Validation of the simplified magnetic resonance index of activity by using DWI without gadolinium enhancement to evaluate bowel inflammation in Crohn’s disease
Heejin Bae, Nieun Seo, Eun Ae Kang, Jae Hee Cheon, Joon Seok Lim, Myeong-Jin Kim
Detection of the glenoid bare spot by non-arthrographic MR imaging, conventional MR arthrography, and 3D high-resolution T1-weighted VIBE MR arthrography: comparison with CT arthrography
Mehmet Ali Ozel, Hayri Ogul, Ali Koksal, Mehmet Kose, Kutsi Tuncer, Suat Eren, Mecit Kantarci
Capability of arterial spin labeling and intravoxel incoherent motion diffusion-weighted imaging to detect early kidney injury in chronic kidney disease
Wei Mao, Yuqin Ding, Xiaoqiang Ding, Caixia Fu, Bohong Cao, Bernd Kuehn, Thomas Benkert, Robert Grimm, Jianjun Zhou, Mengsu Zeng
A standardized method to measure the membranous urethral length (MUL) on MRI of the prostate with high inter- and intra-observer agreement
Hans Veerman, Marinus J. Hagens, Caroline M. Hoeks, Henk G. van der Poel, Pim J. van Leeuwen, André N. Vis, Stijn W. T. J. P. Heijmink, Ivo G. Schoots, Margriet C. de Haan, Thierry N. Boellaard
Regional skeletal muscle perfusion distribution in diabetic feet may differentiate short-term healed foot ulcers from non-healed ulcers
Jie Zheng, Ran Li, Erin E. Dickey, Yan Yan, Mohamed A. Zayed, Jennifer A. Zellers, Mary K. Hastings
Shape and texture analyses based on conventional MRI for the preoperative prediction of the aggressiveness of pituitary adenomas
Xiaoqing Wang, Yongming Dai, Hai Lin, Jiahui Cheng, Yiming Zhang, Mengqiu Cao, Yan Zhou
Gas exchange and ventilation imaging of healthy and COPD subjects using hyperpolarized xenon-129 MRI and a 3D alveolar gas-exchange model
Ozkan Doganay, Minsuok Kim, Fergus V. Gleeson
Diffusion-weighted imaging and arterial spin labeling radiomics features may improve differentiation between radiation-induced brain injury and glioma recurrence
Jun Zhang, Yue Wu, Yulin Wang, Xinyue Zhang, Yifei Lei, Guangming Zhu, Cuiping Mao, Liang Zhang, Lin Ma
Combined forced diuresis and late acquisition on [68Ga]Ga-PSMA-11 PET/CT for biochemical recurrent prostate cancer: a clinical practice-oriented study
Matteo Bauckneht, Alberto Miceli, Alessio Signori, Domenico Albano, Selene Capitanio, Roberta Piva, Riccardo Laudicella, Annalisa Franchini, Francesca D’Amico, Mattia Riondato, Silvia Chiola, Cecilia Marini, Giuseppe Fornarini, Antonio Scarale, Alfredo Muni, Francesco Bertagna, Irene A. Burger, Gianmario Sambuceti, Silvia Morbelli
Development and validation of a [18F]FDG PET/CT-based radiomics nomogram to predict the prognostic risk of pretreatment diffuse large B cell lymphoma patients
Mingshan Li, Hongyang Yao, Peng Zhang, Lingbo Zhang, Wei Liu, Zhiyun Jiang, Wei Li, Shu Zhao, Kezheng Wang
Respiratory-gated PET imaging with reduced acquisition time for suspect malignancies: the first experience in application of total-body PET/CT
Guobing Liu, Shuguang Chen, Yan Hu, Shuangliang Cao, Xinlan Yang, Yun Zhou, Hongcheng Shi
Incidence of PSMA PET thyroid incidentaloma depends on analysis method and tracer
Maarten L. Donswijk, Marceline W. Piek, Zing Cheung, Maurits Wondergem, Marcel P. M. Stokkel, Jan Paul de Boer, Iris M. C. van der Ploeg
Evaluation of a convolution neural network for baseline total tumor metabolic volume on [18F]FDG PET in diffuse large B cell lymphoma
Mourtaza Karimdjee, Gauthier Delaby, Damien Huglo, Clio Baillet, Alexandre Willaume, Simon Dujardin, Alban Bailliez
Expression of fructose-1,6-bisphosphatase 1 is associated with [18F]FDG uptake and prognosis in patients with mesial temporal lobe epilepsy
Wanqian Rao, Bei Chen, Ling Xiao, Haoyue Zhu, Chen Chen, Yongxiang Tang, Shuo Hu
Hepatic hydrothorax does not increase the risk of death after transjugular intrahepatic portosystemic shunt in cirrhosis patients
Xiaoyuan Gou, Wenyuan Jia, Chuangye He, Xulong Yuan, Jing Niu, Jiao Xu, Na Han, Ying Zhu, Wenlan Wang, Jun Tie
Validation of the SSTR-RADS 1.0 for the structured interpretation of SSTR-PET/CT and treatment planning in neuroendocrine tumor (NET) patients
Freba Grawe, Ricarda Ebner, Thomas Geyer, Leonie Beyer, Michael Winkelmann, Gabriel T. Sheikh, Ralf Eschbach, Christine Schmid-Tannwald, Clemens C. Cyran, Jens Ricke, Peter Bartenstein, Maurice M. Heimer, Lorenzo Faggioni, Christine Spitzweg, Matthias P. Fabritius, Christoph J. Auernhammer, Johannes Ruebenthaler
The value of contrast-enhanced portal vein imaging at the hepatobiliary phase obtained with gadobenate dimeglumine for predicting decompensation and transplant-free survival in chronic liver disease
Shuo Cai, Nan Lin, Yongqing Yang, Wenjing Ma, Yu Wang, Xiangtao Lin, Ximing Wang, Xinya Zhao
Deep learning for automated, interpretable classification of lumbar spinal stenosis and facet arthropathy from axial MRI
Upasana Upadhyay Bharadwaj, Miranda Christine, Steven Li, Dean Chou, Valentina Pedoia, Thomas M. Link, Cynthia T. Chin, Sharmila Majumdar
Contrast-enhanced CT radiomics improves the prediction of abdominal aortic aneurysm progression
Yan Wang, Fei Xiong, Joseph Leach, Evan Kao, Bing Tian, Chengcheng Zhu, Yue Zhang, Michael Hope, David Saloner, Dimitrios Mitsouras
Radiomic features from dynamic susceptibility contrast perfusion-weighted imaging improve the three-class prediction of molecular subtypes in patients with adult diffuse gliomas
Dongling Pei, Fangzhan Guan, Xuanke Hong, Zhen Liu, Weiwei Wang, Yuning Qiu, Wenchao Duan, Minkai Wang, Chen Sun, Wenqing Wang, Xiangxiang Wang, Yu Guo, Zilong Wang, Zhongyi Liu, Aoqi Xing, Zhixuan Guo, Lin Luo, Xianzhi Liu, Jingliang Cheng, Bin Zhang, Zhenyu Zhang, Jing Yan
Quality of radiomics for predicting microvascular invasion in hepatocellular carcinoma: a systematic review
Enyu Yuan, Yuntian Chen, Bin Song
Deep learning based on carotid transverse B-mode scan videos for the diagnosis of carotid plaque: a prospective multicenter study
Jia Liu, Xinrui Zhou, Hui Lin, Xue Lu, Jian Zheng, Erjiao Xu, Dianhu Jiang, Hui Zhang, Xin Yang, Junlin Zhong, Xindi Hu, Yuhao Huang, Yanling Zhang, Jiamin Liang, Qin Liu, Min Zhong, Yuansen Chen, Huixiang Yan, Haowen Deng, Rongqin Zheng, Dong Ni, Jie Ren
Prediction of incident cardiovascular events using machine learning and CMR radiomics
Esmeralda Ruiz Pujadas, Zahra Raisi-Estabragh, Liliana Szabo, Celeste McCracken, Cristian Izquierdo Morcillo, Víctor M. Campello, Carlos Martín-Isla, Angelica M. Atehortua, Hajnalka Vago, Bela Merkely, Pal Maurovich-Horvat, Nicholas C. Harvey, Stefan Neubauer, Steffen E. Petersen, Karim Lekadir
Multicentre external validation of a commercial artificial intelligence software to analyse chest radiographs in health screening environments with low disease prevalence
Cherry Kim, Zepa Yang, Seong Ho Park, Sung Ho Hwang, Yu-Whan Oh, Eun-Young Kang, Hwan Seok Yong
Accuracy and reproducibility of a cone beam CT-based virtual parenchymal perfusion algorithm in the prediction of SPECT/CT anatomical and volumetric results during the planification of radioembolization for HCC
Haytham Derbel, Mahdi Krichen, Julia Chalaye, Laetitia Saccenti, William Van der Sterren, Anne-Hilde Muris, Lionel Lerman, Athena Galletto, Youssef Zaarour, Alain Luciani, Hicham Kobeiter, Vania Tacher
MRI-based two-stage deep learning model for automatic detection and segmentation of brain metastases
Ruikun Li, Yujie Guo, Zhongchen Zhao, Mingming Chen, Xiaoqing Liu, Guanzhong Gong, Lisheng Wang
Automated unruptured cerebral aneurysms detection in TOF MR angiography images using dual-channel SE-3D UNet: a multi-center research
Geng Chen, Bao Yifang, Zhang Jiajun, Wang Dongdong, Zhou Zhiyong, Di Ruoyu, Dai Bin, Piao Sirong, Geng Daoying, Chen Meng, Dai Yakang, Li Yuxin
The uncovered biases and errors in clinical determination of bone age by using deep learning models
Mei Bai, Liangxin Gao, Min Ji, Jianbang Ge, Lingyun Huang, HaoChen Qiao, Jing Xiao, Xiaotian Chen, Bin Yang, Yingqi Sun, Minjie Zhang, Wenjie Zhang, Feihong Luo, Haowei Yang, Haibing Mei, Zhongwei Qiao
Artificial intelligence-based diagnosis of asbestosis: analysis of a database with applicants for asbestosis state aid
Kevin B. W. Groot Lipman, Cornedine J. de Gooijer, Thierry N. Boellaard, Ferdi van der Heijden, Regina G. H. Beets-Tan, Zuhir Bodalal, Stefano Trebeschi, Jacobus A. Burgers
Estimating postsurgical outcomes of patients with a single hepatocellular carcinoma using gadoxetic acid–enhanced MRI: risk scoring system development and validation
So Hyun Park, Bohyun Kim, Sehee Kim, Suyoung Park, Yeon Ho Park, Seung Kak Shin, Pil Soo Sung, Joon-Il Choi
Replacing secretin-enhanced MRCP with MRI radiomics model based on a fully automated pancreas segmentation for assessing pancreatic exocrine function in chronic pancreatitis
Yun Bian, Jian Zhou, Mengmeng Zhu, Jieyu Yu, Haiyan Zhao, Xu Fang, Fang Liu, Tiegong Wang, Jing Li, Li Wang, Jianping Lu, Chengwei Shao
Risk stratification of solitary hepatocellular carcinoma ≤ 5 cm without microvascular invasion: prognostic values of MR imaging features based on LI-RADS and clinical parameters
Leyao Wang, Bing Feng, Dengfeng Li, Meng Liang, Shuang Wang, Sicong Wang, Xiaohong Ma, Xinming Zhao
Prognostic factors for long-term outcome in bifocal hepatocellular carcinoma after resection
Fei Wu, Haitao Sun, Changwu Zhou, Peng Huang, Yuyao Xiao, Chun Yang, Mengsu Zeng
Determination of arterial invasion in pancreatic ductal adenocarcinoma: what is the best diagnostic criterion on CT?
Yoshifumi Noda, Nozomi Mizuno, Nobuyuki Kawai, Tomohiro Ando, Masaya Kawaguchi, Shoma Nagata, Keita Fujimoto, Fumihiko Nakamura, Tetsuro Kaga, Takuma Ishihara, Fuminori Hyodo, Hiroki Kato, Avinash R. Kambadakone, Masayuki Matsuo
MDCT-findings in patients with non-occlusive mesenteric ischemia (NOMI): influence of vasoconstrictor agents
Antoine Topolsky, Olivier Pantet, Lucas Liaudet, Christine Sempoux, Alban Denys, Jean-François Knebel, Sabine Schmidt
Prediction of lymph node metastasis in stage T1–2 rectal cancers with MRI-based deep learning
Lijuan Wan, Jiesi Hu, Shuang Chen, Rui Zhao, Wenjing Peng, Yuan Liu, Shangying Hu, Shuangmei Zou, Sicong Wang, Xinming Zhao, Hongmei Zhang
Metabolic tumour and nodal response to neoadjuvant chemotherapy on FDG PET-CT as a predictor of pathological response and survival in patients with oesophageal adenocarcinoma
Jonathan L. Moore, Manil Subesinghe, Aida Santaolalla, Michael Green, Harriet Deere, Mieke Van Hemelrijck, Jesper Lagergren, Sugama Chicklore, Nick Maisey, James A. Gossage, Mark Kelly, Cara R. Baker, Andrew R. Davies, A. Jacques, N. Griffin, V. Goh, S. Ngan, K. Owczarczyk, A. Sita-Lumsden, A. Qureshi, F. Chang, U. Mahadeva, B. Gill-Barman, S. George, M. Ong, J. Waters, M. Cominos, T. Sevitt, O. Hynes, G. Tham, J. M. Dunn, S. S. Zeki
Low dose of contrast agent and low radiation liver computed tomography with deep-learning-based contrast boosting model in participants at high-risk for hepatocellular carcinoma: prospective, randomized, double-blind study
Hyo-Jin Kang, Jeong Min Lee, Chulkyun Ahn, Jae Seok Bae, Seungchul Han, Se Woo Kim, Jeong Hee Yoon, Joon Koo Han
Grading meningiomas with diffusion metrics: a comparison between diffusion kurtosis, mean apparent propagator, neurite orientation dispersion and density, and diffusion tensor imaging
Dejun She, Hao Huang, Wei Guo, Dongmei Jiang, Xiance Zhao, Yun Kang, Dairong Cao
Nasopharyngeal necrosis contributes to overall survival in nasopharyngeal carcinoma without distant metastasis: a comprehensive nomogram model
Xue-Song Sun, Zhi-Wen Xiao, Sai-Lan Liu, Rui Sun, Dong-Hua Luo, Qiu-Yan Chen, Hai-Qiang Mai
Diagnostic performance of computed tomography features in detecting oropharyngeal squamous cell carcinoma extranodal extension
Ngoc-Anh Tran, Miklos Palotai, Glenn J. Hanna, Jonathan D. Schoenfeld, Camden P. Bay, Eleni M. Rettig, Paul M. Bunch, Amy F. Juliano, Hillary R. Kelly, Chong Hyun Suh, David A. Zander, Alfredo Morales Pinzon, Benjamin H. Kann, Raymond Y. Huang, Robert I. Haddad, Charles R. G. Guttmann, Jeffrey P. Guenette
Regional age-related changes of neuromelanin and iron in the substantia nigra based on neuromelanin accumulation and iron deposition
Yufan Chen, Tao Gong, Cong Sun, Aocai Yang, Fei Gao, Tong Chen, Weibo Chen, Guangbin Wang
Ultrafast MRI using deep learning echoplanar imaging for a comprehensive assessment of acute ischemic stroke
Sebastien Verclytte, Robin Gnanih, Stephane Verdun, Thorsten Feiweier, Bryan Clifford, Khalid Ambarki, Marta Pasquini, Juliette Ding
Glymphatic system dysfunction in pediatric acute lymphoblastic leukemia without clinically diagnosed central nervous system infiltration: a novel DTI-ALPS method
Li-ping Lin, Shu Su, Weifeng Hou, Libin Huang, Qin Zhou, Mengsha Zou, Long Qian, Wei Cui, Zhiyun Yang, Yanlai Tang, Yingqian Chen
Artificial intelligence in BreastScreen Norway: a retrospective analysis of a cancer-enriched sample including 1254 breast cancer cases
Henrik Wethe Koch, Marthe Larsen, Hauke Bartsch, Kathinka Dæhli Kurz, Solveig Hofvind
Probing lipids relaxation times in breast cancer using magnetic resonance spectroscopic fingerprinting
Noam Nissan, Alexey Kulpanovich, Ravit Agassi, Tanir Allweis, Ilana Haas, Einat Carmon, Edna Furman-Haran, Debbie Anaby, Miri Sklair-Levy, Assaf Tal
Breast cancer screening with digital breast tomosynthesis: comparison of different reading strategies implementing artificial intelligence
Victor Dahlblom, Magnus Dustler, Anders Tingberg, Sophia Zackrisson
Comparative diagnostic performance of contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging for differentiating clear cell and non-clear cell renal cell carcinoma
Ping Zhao, Jianing Zhu, Lanke Wang, Nan Li, Xinghua Zhang, Jinfeng Li, Yukun Luo, Qiuyang Li
Juvenile idiopathic arthritis of the knee: is contrast needed to score disease activity when using an augmented MRI protocol comprising PD-weighted sequences?
V. D. Vo Chieu, V. Vo Chieu, F. Dressler, N. Kornemann, A. Pfeil, J. Böttcher, F. Streitparth, L. D. Berthold, M. Dohna, D. M. Renz, S. Hellms
Correction to: Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario
Alan A. Peters, Adrian T. Huber, Verena C. Obmann, Johannes T. Heverhagen, Andreas Christe, Lukas Ebner