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European Radiology

Ausgabe 12/2023

Inhalt (120 Artikel)

Urogenital

Tumor contact length with bladder wall provides effective risk stratification for lesions with a VIRADS score of 2–3

Hyungwoo Ahn, Taek Min Kim, Sung Il Hwang, Hak Jong Lee, Gheeyoung Choe, Sung Kyu Hong, Seok-Soo Byun, Jong Jin Oh

Urogenital

Minimally invasive nephron-sparing treatments for T1 renal cell cancer in patients over 75 years: a comparison of outcomes after robot-assisted partial nephrectomy and percutaneous ablation

Raphaël Lehrer, Francois Cornelis, Jean-Christophe Bernhard, Pierre Bigot, Cécile Champy, Franck Bruyère, Morgan Rouprêt, Nicolas Doumerc, Charles-Karim Bensalah, Jonathan Olivier, François Audenet, Thibault Tricard, Bastien Parier, Xavier Durand, Matthieu Durand, Thomas Charles, Nicolas Branger, Louis Surlemont, Evanguelos Xylinas, Jean-Baptiste Beauval, Matthias Barral

Commentary

Risk stratification prior to non-cardiac surgery: the role of cardiac CT and MR imaging is underrecognized

Hatem Alkadhi, Eduardo Baettig, Andrea Biondo, Marco Francone, Robert Manka

Commentary

Multiparametric cardiac magnetic resonance unveiling the mechanisms and early manifestations of anticancer drug cardiotoxicity

Marco Francone, Stefano Figliozzi, Lorenzo Monti, Christian Loewe, Federica Catapano

Commentary

The heart and the COVID-19: what are the lessons learnt?

Bernd J. Wintersperger, Felix Escher, Nicola Fink

Open Access Cardiac

Inter-software and inter-scan variability in measurement of epicardial adipose tissue: a three-way comparison of a research-specific, a freeware and a coronary application software platform

Jasmine Chan, Udit Thakur, Sean Tan, Rahul G. Muthalaly, Harsh Thakkar, Vinay Goel, Yeong-Chee Cheen, Damini Dey, Adam J. Brown, Dennis T. L. Wong, Nitesh Nerlekar

Cardiac

Impact of new-onset arrhythmia on cardiac reverse remodeling following transcatheter aortic valve replacement: computed tomography-derived left ventricular and atrial strains

Sohee Park, Do-Yoon Kang, Jung-Min Ahn, Dae-Hee Kim, Duk-Woo Park, Seung-Jung Park, Joon-Won Kang, Dong Hyun Yang, Seung-Ah Lee, Hyun Jung Koo

Cardiac

CT for the evaluation of myocardial extracellular volume with MRI as reference: a systematic review and meta-analysis

Hui Zhang, Huimin Guo, Guangyao Liu, Chuang Wu, Yurong Ma, Shilan Li, Yurong Zheng, Jing Zhang

Cardiac

A deep learning method for the automated assessment of paradoxical pulsation after myocardial infarction using multicenter cardiac MRI data

Bing-Hua Chen, Chong-Wen Wu, Dong-Aolei An, Ji-Lei Zhang, Yi-Hong Zhang, Ling-Zhan Yu, Kennedy Watson, Luke Wesemann, Jiani Hu, Wei-Bo Chen, Jian-Rong Xu, Lei Zhao, ChaoLu Feng, Meng Jiang, Jun Pu, Lian-Ming Wu

Cardiac

Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiography

Yasunori Nagayama, Takafumi Emoto, Yuki Kato, Masafumi Kidoh, Seitaro Oda, Daisuke Sakabe, Yoshinori Funama, Takeshi Nakaura, Hidetaka Hayashi, Sentaro Takada, Ryutaro Uchimura, Masahiro Hatemura, Kenichi Tsujita, Toshinori Hirai

Cardiac

Predicting coronary plaque progression with conventional plaque parameters and radiomics features derived from coronary CT angiography

Changjing Feng, Rui Chen, Siting Dong, Wei Deng, Shushen Lin, Xiaomei Zhu, Wangyan Liu, Yi Xu, Xiaohu Li, Yinsu Zhu

Cardiac

CT annulus sizing prior to transcatheter aortic valve replacement (TAVR): evaluation of free-breathing versus breath-holding acquisition

Adrien Cour, Julien Burel, Matthieu Garnier, Eric Durand, Matthieu Demeyere, Jean-Nicolas Dacher

Open Access Cardiac

Impact of virtual monoenergetic levels on coronary plaque volume components using photon-counting computed tomography

Borbála Vattay, Bálint Szilveszter, Melinda Boussoussou, Milán Vecsey-Nagy, Andrew Lin, Gábor Konkoly, Anikó Kubovje, Florian Schwarz, Béla Merkely, Pál Maurovich-Horvat, Michelle C. Williams, Damini Dey, Márton Kolossváry

Commentary

COVID-19 and the vessels: from micro- to macroangiopathy

Ilkay S. Idilman, Musturay Karcaaltincaba

Chest

Prognostic impact of deep learning–based quantification in clinical stage 0-I lung adenocarcinoma

Ying Zhu, Li-Li Chen, Ying-Wei Luo, Li Zhang, Hui-Yun Ma, Hao-Shuai Yang, Bao-Cong Liu, Lu-Jie Li, Wen-Biao Zhang, Xiang-Min Li, Chuan-Miao Xie, Jian-Cheng Yang, De-ling Wang, Qiong Li

Chest

Clinical utility of [18F]FDG PET/CT in the assessment of mediastinal lymph node disease after neoadjuvant chemoimmunotherapy for non-small cell lung cancer

Lei Zhang, Haoran E, Jia Huang, Junqi Wu, Qiang Li, Likun Hou, Chongwu Li, Chenyang Dai, Jiajun Deng, Minglei Yang, Minjie Ma, Yijiu Ren, Qingquan Luo, Deping Zhao, Chang Chen

Open Access Musculoskeletal

Feasibility of AI-assisted compressed sensing protocols in knee MR imaging: a prospective multi-reader study

Qizheng Wang, Weili Zhao, Xiaoying Xing, Ying Wang, Peijin Xin, Yongye Chen, Yupeng Zhu, Jiajia Xu, Qiang Zhao, Huishu Yuan, Ning Lang

Musculoskeletal

Evaluating blood supply changes in the osteonecrosis of the femoral head using gadobutrol-based steady-state MR angiography

Zhenhong Liao, Chen Liu, Bi Wu, Chun Ma, Bing Ming, Qing Zhou, Xiaoyong Zhang, Sihong Zhou, Yanyu Chen

Open Access Musculoskeletal

Assessment of glenoid bone loss and other osseous shoulder pathologies comparing MR-based CT-like images with conventional CT

Georg C. Feuerriegel, Sophia Kronthaler, Kilian Weiss, Bernhard Haller, Yannik Leonhardt, Jan Neumann, Daniela Pfeiffer, Nina Hesse, Bernd Erber, Benedikt J. Schwaiger, Marcus R. Makowski, Klaus Woertler, Dimitrios C. Karampinos, Markus Wurm, Alexandra S. Gersing

Musculoskeletal

3D-validation of a simple tool to measure tibiofemoral axial rotation in tibial plateau fractures

Han-po Tseng, Hanne Bartels, Nathalie Noppe, Sanne Vancleef, Michiel Herteleer, Harm Hoekstra

Musculoskeletal

Comparison of predictive performance for cage subsidence between CT-based Hounsfield units and MRI-based vertebral bone quality score following oblique lumbar interbody fusion

Xingxiao Pu, Xiandi Wang, Liyu Ran, Tianhang Xie, Zhuhai Li, Zhiqiang Yang, Run Lin, Jiancheng Zeng

Musculoskeletal

Sacroiliac joint MRI for diagnosis of ax-SpA: algorithm to improve the specificity of the current ASAS MRI criteria

Maxime Pastor, Cedric Lukas, Sonia Ramos-Pascual, Mo Saffarini, William Wantz, Catherine Cyteval

Musculoskeletal

Deep learning–based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI

Hyunsuk Yoo, Roh-Eul Yoo, Seung Hong Choi, Inpyeong Hwang, Ji Ye Lee, June Young Seo, Seok Young Koh, Kyu Sung Choi, Koung Mi Kang, Tae Jin Yun

Open Access Interventional

Real-world efficacy and safety of TACE plus camrelizumab and apatinib in patients with HCC (CHANCE2211): a propensity score matching study

Zhi-Cheng Jin, Bin-Yan Zhong, Jian-Jian Chen, Hai-Dong Zhu, Jun-Hui Sun, Guo-Wen Yin, Nai-Jian Ge, Biao Luo, Wen-Bin Ding, Wen-Hui Li, Li Chen, Yu-Qing Wang, Xiao-Li Zhu, Wei-Zhu Yang, Hai-Liang Li, Gao-Jun Teng

Interventional

A CT-based predictive model for stent-induced vessel damage: application to type B aortic dissection

Xuehuan Zhang, Dianpeng Wang, Xuyang Zhang, Shichao Liang, Ziheng Wu, Zipeng Wen, Yiannis Ventikos, Jiang Xiong, Duanduan Chen

Interventional

Risk prediction of intraoperative pain in percutaneous microwave ablation of lung tumors under CT guidance

Xujian Han, Ximing Wang, Zhenjia Li, Weitao Dou, Honglu Shi, Yuanqing Liu, Kui Sun

Interventional

Contrast enhancement early after renal malignancy cryoablation: imaging findings associated with benignity

Téodor Grand, Christophe Delavaud, Charles Dariane, Toulsie Ramtohul, Sylvain Guinebert, Olivier Hélénon, Arnaud Mejean, Marc-Olivier Timsit, Jean-Michel Correas, Sylvain Bodard

Interventional

Efficacy and safety of microwave ablation for the treatment of multifocal versus unifocal T1N0M0 papillary thyroid carcinoma: a propensity-matched multicentre retrospective study

Zhen-Long Zhao, Gang Dong, Shu-Rong Wang, Ying Liu, Jun-Feng He, Li-Li Shi, Jian-Qin Guo, Zhong-Hua Wang, Zhi-Bin Cong, Li-Hong Liu, Bei-Bei Yang, Chun-Ping Qu, Ying Wei, Li-Li Peng, Yan Li, Nai-Cong Lu, Jie Wu, Ming-An Yu

Interventional

Intermediate-stage (BCLC stage B) infiltrative hepatocellular carcinoma: safety and efficacy of chemoembolization

Seong Ho Kim, Jin Hyoung Kim, Gun Ha Kim, Ji Hoon Kim, Heung-Kyu Ko, Hee Ho Chu, Ji Hoon Shin, Dong Il Gwon, Gi-Young Ko, Hyun-Ki Yoon, Shakir Aljerdah, Nayoung Kim

Vascular-Interventional

First experience of evaluation of the impact of high-matrix size reconstruction in image quality in arterial CT runoff studies of the lower extremities

Fides R. Schwartz, James S. Ronald, Kevin R. Kalisz, Wanyi Fu, Juan Carlos Ramirez-Giraldo, Lynne M. Hurwitz Koweek, Susan Churchill, Kevin W. Southerland, Daniele Marin

Vascular-Interventional

Catheter-directed hemorrhoidal embolization for rectal bleeding due to hemorrhoids (Goligher grade I–III): prospective outcomes from a Spanish emborrhoid registry

Miguel A. De Gregorio, Jose A. Guirola, Carolina Serrano-Casorran, José Urbano, Carolina Gutiérrez, Abel Gregorio, Sergio Sierre, Juan Jose Ciampi-Dopazo, Roman Bernal, Ismael Gil, Ignacio De Blas, Maria Sánchez-Ballestín, Alfonso Millera

Oncology

Coordinatized lesion location analysis empowering ROI-based radiomics diagnosis on brain gliomas

Xiaoxue Liu, Qirui Zhang, Jianrui Li, Qiang Xu, Zhizheng Zhuo, Junjie Li, Xian Zhou, Mengjie Lu, Qingqing Zhou, Hao Pan, Nan Wu, Qing Zhou, Feng Shi, Guangming Lu, Yaou Liu, Zhiqiang Zhang

Open Access Oncology

Changes in serial multiparametric MRI and FDG-PET/CT functional imaging during radiation therapy can predict treatment response in patients with head and neck cancer

Yuvnik Trada, Paul Keall, Michael Jameson, Daniel Moses, Peter Lin, Phillip Chlap, Lois Holloway, Myo Min, Dion Forstner, Allan Fowler, Mark T. Lee

Open Access Oncology

Model incorporating multiple diffusion MRI features: development and validation of a radiomics-based model to predict adult-type diffuse gliomas grade

Peng Wang, Shenghui Xie, Qiong Wu, Lixin Weng, Zhiyue Hao, Pengxuan Yuan, Chi Zhang, Weilin Gao, Shaoyu Wang, Huapeng Zhang, Yang Song, Jinlong He, Yang Gao

Oncology

A machine learning model based on MRI for the preoperative prediction of bladder cancer invasion depth

Guihua Chen, Xuhui Fan, Tao Wang, Encheng Zhang, Jialiang Shao, Siteng Chen, Dongliang Zhang, Jian Zhang, Tuanjie Guo, Zhihao Yuan, Heting Tang, Yaoyu Yu, Jinyuan Chen, Xiang Wang

Open Access Review

Cybersecurity considerations for radiology departments involved with artificial intelligence

Brendan S. Kelly, Conor Quinn, Niamh Belton, Aonghus Lawlor, Ronan P. Killeen, James Burrell

Imaging Informatics and Artificial Intelligence

Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline

Fuhai Sun, Junyan Lyu, Si Jian, Yuanyuan Qin, Xiaoying Tang

Letter to the Editor

Letter to the Editor: “Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline”

Andrea Quattrone, Salvatore Nigro, Maria Giovanna Bianco, Antonio Augimeri, Aldo Quattrone

Imaging Informatics and Artificial Intelligence

A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter study

Pei Nie, Guangjie Yang, Yanmei Wang, Yuchao Xu, Lei Yan, Mingxin Zhang, Lianzi Zhao, Ning Wang, Xia Zhao, Xianjun Li, Nan Cheng, Yicong Wang, Chengcheng Chen, Nan Wang, Shaofeng Duan, Ximing Wang, Zhenguang Wang

Imaging Informatics and Artificial Intelligence

Pneumonia-Plus: a deep learning model for the classification of bacterial, fungal, and viral pneumonia based on CT tomography

Fang Wang, Xiaoming Li, Ru Wen, Hu Luo, Dong Liu, Shuai Qi, Yang Jing, Peng Wang, Gang Deng, Cong Huang, Tingting Du, Limei Wang, Hongqin Liang, Jian Wang, Chen Liu

Imaging Informatics and Artificial Intelligence

Deep learning–assisted LI-RADS grading and distinguishing hepatocellular carcinoma (HCC) from non-HCC based on multiphase CT: a two-center study

Yang Xu, Chaoyang Zhou, Xiaojuan He, Rao Song, Yangyang Liu, Haiping Zhang, Yudong Wang, Qianrui Fan, Weidao Chen, Jiangfen Wu, Jian Wang, Dajing Guo

Open Access Imaging Informatics and Artificial Intelligence

Development and multicenter validation of a multiparametric imaging model to predict treatment response in rectal cancer

Niels W. Schurink, Simon R. van Kranen, Joost J. M. van Griethuysen, Sander Roberti, Petur Snaebjornsson, Frans C. H. Bakers, Shira H. de Bie, Gerlof P. T. Bosma, Vincent C. Cappendijk, Remy W. F. Geenen, Peter A. Neijenhuis, Gerald M. Peterson, Cornelis J. Veeken, Roy F. A. Vliegen, Femke P. Peters, Nino Bogveradze, Najim el Khababi, Max J. Lahaye, Monique Maas, Geerard L. Beets, Regina G. H. Beets-Tan, Doenja M. J. Lambregts

Imaging Informatics and Artificial Intelligence

Risk stratification of gallbladder masses by machine learning-based ultrasound radiomics models: a prospective and multi-institutional study

Li-Fan Wang, Qiao Wang, Feng Mao, Shi-Hao Xu, Li-Ping Sun, Ting-Fan Wu, Bo-Yang Zhou, Hao-Hao Yin, Hui Shi, Ya-Qin Zhang, Xiao-Long Li, Yi-Kang Sun, Dan Lu, Cong-Yu Tang, Hai-Xia Yuan, Chong-Ke Zhao, Hui-Xiong Xu

Imaging Informatics and Artificial Intelligence

Predicting peritumoral edema development after gamma knife radiosurgery of meningiomas using machine learning methods: a multicenter study

Xuanxuan Li, Yiping Lu, Li Liu, Dongdong Wang, Yajing Zhao, Nan Mei, Daoying Geng, Xin Ma, Weiwei Zheng, Shaofeng Duan, Pu-Yeh Wu, Hongkai Wen, Yongli Tan, Xiaogang Sun, Shibin Sun, Zhiwei Li, Tonggang Yu, Bo Yin

Imaging Informatics and Artificial Intelligence

Development and validation of a radiomics-based prediction pipeline for the response to stereotactic radiosurgery therapy in brain metastases

Peng Du, Xiao Liu, Rui Xiang, Kun Lv, Hongyi Chen, Weifan Liu, Aihong Cao, Lang Chen, Xuefeng Wang, Tonggang Yu, Jian Ding, Wuchao Li, Jie Li, Yuxin Li, Zekuan Yu, Li Zhu, Jie Liu, Daoying Geng

Gastrointestinal

Radiomics nomogram for the prediction of microvascular invasion of HCC and patients’ benefit from postoperative adjuvant TACE: a multi-center study

Kun Zhang, Lei Zhang, Wen-Cui Li, Shuang-Shuang Xie, Ying-Zhu Cui, Li-Ying Lin, Zhi-Wei Shen, Hui-Mao Zhang, Shuang Xia, Zhao-Xiang Ye, Kan He, Wen Shen

Gastrointestinal

Preoperative diagnosis of metastatic lymph nodes by CT-histopathologic matching analysis in gastric adenocarcinoma using dual-layer spectral detector CT

Ma Luo, Guoming Chen, Hui Xie, Rong Zhang, Ping Yang, Runcong Nie, Zhiwei Zhou, Fei Gao, Yongming Chen, Chuanmiao Xie

Open Access Gastrointestinal

Abdominal fat quantification using convolutional networks

Daniel Schneider, Tobias Eggebrecht, Anna Linder, Nicolas Linder, Alexander Schaudinn, Matthias Blüher, Timm Denecke, Harald Busse

Gastrointestinal

An imaging-based machine learning model outperforms clinical risk scores for prognosis of cirrhotic variceal bleeding

Yin Gao, Qian Yu, Xiaohuan Li, Cong Xia, Jiaying Zhou, Tianyi Xia, Ben Zhao, Yue Qiu, Jun-hao Zha, Yuancheng Wang, Tianyu Tang, Yan Lv, Jing Ye, Chuanjun Xu, Shenghong Ju

Open Access Hepatobiliary-Pancreas

MRI proton density fat fraction for estimation of tumor grade in steatotic hepatocellular carcinoma

Patrick Arthur Kupczyk, Darius Kurt, Christoph Endler, Julian Alexander Luetkens, Guido Matthias Kukuk, Florian Fronhoffs, Hans-Peter Fischer, Ulrike Irmgard Attenberger, Claus Christian Pieper

Open Access Hepatobiliary-Pancreas

A convenient scoring system to distinguish intrahepatic mass-forming cholangiocarcinoma from solitary colorectal liver metastasis based on magnetic resonance imaging features

Keren Shen, Weixing Mo, Xiaojie Wang, Dan Shi, Wei Qian, Jihong Sun, Risheng Yu

Hepatobiliary-Pancreas

Evaluation of proton density fat fraction (PDFF) obtained from a vendor-neutral MRI sequence and MRQuantif software

T. Orcel, H. T. Chau, B. Turlin, J. Chaigneau, E. Bannier, P. Otal, E. Frampas, A. Leguen, A. Boulic, H. Saint-Jalmes, C. Aubé, J. Boursier, E. Bardou-Jacquet, Y. Gandon

Hepatobiliary-Pancreas

Differentiation of autoimmune pancreatitis from pancreatic adenocarcinoma using CT characteristics: a systematic review and meta-analysis

Seung Bae Yoon, Tae Yeon Jeon, Sung-Hoon Moon, Dong Woo Shin, Sang Min Lee, Moon Hyung Choi, Ji Hye Min, Min-Jeong Kim

Open Access Hepatobiliary-Pancreas

Diagnosis of functional strictures in patients with primary sclerosing cholangitis using hepatobiliary contrast-enhanced MRI: a proof-of-concept study

Sarah Poetter-Lang, Alina Messner, Nina Bastati, Kristina I. Ringe, Maxime Ronot, Sudhakar K. Venkatesh, Raphael Ambros, Antonia Kristic, Aida Korajac, Gregor Dovjak, Martin Zalaudek, Jacqueline. C. Hodge, Christoph Schramm, Emina Halilbasic, Michael Trauner, Ahmed Ba-Ssalamah

Hepatobiliary-Pancreas

Automatic prediction of hepatic arterial infusion chemotherapy response in advanced hepatocellular carcinoma with deep learning radiomic nomogram

Ziming Xu, Chao An, Feng Shi, He Ren, Yuze Li, Song Chen, Jiaqi Dou, Yajie Wang, Shaozhen Yan, Jie Lu, Huijun Chen

Head and Neck

Pretreatment dual-energy CT for predicting early response to induction chemotherapy and survival in nasopharyngeal carcinoma

Yang Zhan, Yuzhe Wang, Peng Wang, Yin Wang, Xiaochen Ni, Jie Wang, Zuohua Tang

Head and Neck

Using a CT-based scale to evaluate disease extension and the resectability of locally advanced thyroid cancer

Nai-si Huang, Qiao Li, Xin-Yi Gao, Shi-yu Xiang, Qing-hai Ji, Jun Xiang, Yu-long Wang, Wen-jun Wei, Jia-ying Chen, Qing Yu, Yi-ming Cao, Qing Guan, Ya-jia Gu, Yu Wang

Head and Neck

Quantitative assessment of extraocular muscles in Graves’ ophthalmopathy using T1 mapping

Hongzhang Zhu, Mengsha Zou, Dide Wu, Bin Li, Yihua Su, Yanbing Li, Shubin Hong, Zhiyun Yang

Neuro

Noninvasive investigations of human glymphatic dynamics in a diseased model

Chia-Hung Wu, Yu Kuo, Feng-Chi Chang, Jiing-Feng Lirng, Yu-Hsiang Ling, Yen-Feng Wang, Hsiu-Mei Wu, Jong-Ling Fuh, Chung-Jung Lin, Shuu-Jiun Wang, Shih-Pin Chen

Open Access Neuro

Focused view CT angiography for selective visualization of stroke related arteries: technical feasibility

Christian Roest, Reina W. Kloet, Maria J. Lamers, Derya Yakar, Thomas C. Kwee

Neuro

Diffusion basis spectrum imaging detects pathological alterations in substantia nigra and white matter tracts with early-stage Parkinson’s disease

Zexuan Hu, Peng Sun, Ajit George, Xiangling Zeng, Mengyan Li, Tsen-Hsuan Lin, Zezhong Ye, Xinhua Wei, Xinqing Jiang, Sheng-Kwei Song, Ruimeng Yang

Neuro

MR dynamic-susceptibility-contrast perfusion metrics in the presurgical discrimination of adult solitary intra-axial cerebellar tumors

Albert Pons-Escoda, Alonso Garcia-Ruiz, Clemente Garcia-Hidalgo, Ruben Gil-Solsona, Pablo Naval-Baudin, Teodoro Martin-Noguerol, Alejandro Fernandez-Coello, Susanie Flores-Casaperalta, Montserrat Fernandez-Viñas, Pablo Gago-Ferrero, Laura Oleaga, Raquel Perez-Lopez, Carles Majos

Neuro

ASPECTS-based net water uptake outperforms target mismatch for outcome prediction in patients with acute ischemic stroke and late therapeutic window

Rong-Rong Wu, Yue-Zhou Cao, Xiao-Quan Xu, Zheng-Yu Jia, Lin-Bo Zhao, Hai-Bin Shi, Sheng Liu, Fei-Yun Wu, Shan-Shan Lu

Open Access Review

Consensus report from the 10th Global Forum for Liver Magnetic Resonance Imaging: developments in HCC management

Bachir Taouli, Ahmed Ba-Ssalamah, Julius Chapiro, Jagpreet Chhatwal, Kathryn Fowler, Tae Wook Kang, Gesine Knobloch, Dow-Mu Koh, Masatoshi Kudo, Jeong Min Lee, Takamichi Murakami, David J. Pinato, Kristina I. Ringe, Bin Song, Parissa Tabrizian, Jin Wang, Jeong Hee Yoon, Mengsu Zeng, Jian Zhou, Valérie Vilgrain

Open Access Review

Consensus report from the 10th global forum for liver magnetic resonance imaging: multidisciplinary team discussion

Bachir Taouli, Ahmed Ba-Ssalamah, Julius Chapiro, Jagpreet Chhatwal, Kathryn Fowler, Tae Wook Kang, Gesine Knobloch, Dow-Mu Koh, Masatoshi Kudo, Jeong Min Lee, Takamichi Murakami, David J. Pinato, Kristina I. Ringe, Bin Song, Parissa Tabrizian, Jin Wang, Jeong Hee Yoon, Mengsu Zeng, Jian Zhou, Valérie Vilgrain

Magnetic Resonance

Multiparametric MRI for evaluation of pathological response to the neoadjuvant chemo-immunotherapy in resectable non-small-cell lung cancer

Xiao Bao, Dongliang Bian, Xing Yang, Zheming Wang, Mingdong Shang, Gening Jiang, Jingyun Shi

Magnetic Resonance

Reduced adipose tissue in growth-restricted fetuses using quantitative analysis of magnetic resonance images

Aviad Rabinowich, Netanell Avisdris, Ayala Zilberman, Daphna Link-Sourani, Sapir Lazar, Jacky Herzlich, Bella Specktor-Fadida, Leo Joskowicz, Gustavo Malinger, Liat Ben-Sira, Liran Hiersch, Dafna Ben Bashat

Magnetic Resonance

Extraocular muscle volume index at the orbital apex with optic neuritis: a combined parameter for diagnosis of dysthyroid optic neuropathy

Cheng Song, Yaosheng Luo, Weihong Huang, Yongbo Duan, Xuefeng Deng, Haixiong Chen, Genfeng Yu, Kai Huang, Sirong Xu, Xiaoxin Lin, Yi Wang, Jie Shen

Magnetic Resonance

Quantification of ectopic fat storage in the liver and pancreas using six-point Dixon MRI and its association with insulin sensitivity and β-cell function in patients with central obesity

Meng-Jiao Cao, Wen-Jun Wu, Jing-Wen Chen, Xiang-Ming Fang, Ye Ren, Xiao-Wen Zhu, Hai-Yan Cheng, Qun-Feng Tang

Magnetic Resonance

Longitudinal assessment of placental perfusion in normal and hypertensive pregnancies using pseudo-continuous arterial spin–labeled MRI: preliminary experience

Christina L. Herrera, Yiming Wang, Durga Udayakumar, Yin Xi, Quyen N. Do, Matthew A. Lewis, David M. Owen, Baowei Fei, Catherine Y. Spong, Diane M. Twickler, Ananth J. Madhuranthakam

Magnetic Resonance

MR imaging characteristics of different pathologic subtypes of esophageal carcinoma

Zhaoqi Wang, Funing Chu, Bingmei Bai, Shuang Lu, Hongkai Zhang, Zhengyan Jia, Keke Zhao, Yudong Zhang, Yan Zheng, Qingxin Xia, Xu Li, Ihab R. Kamel, Hailiang Li, Jinrong Qu

Open Access Magnetic Resonance

Bowel wall thickness measured by MRI is useful for early diagnosis of bowel endometriosis

Yunxi Zheng, Shouxin Gu, Jingyao Ruan, Xiaofang Yi, Congjian Xu

Computed Tomography

Ethnic diversity in treatment response for colorectal cancer: proof of concept for radiomics-driven enrichment trials

Laurent Dercle, Melissa Yang, Mithat Gönen, Jessica Flynn, Chaya S. Moskowitz, Dana E. Connors, Hao Yang, Lin Lu, Diane Reidy-Lagunes, Tito Fojo, Sanja Karovic, Binsheng Zhao, Lawrence H. Schwartz, Brian S. Henick

Open Access Computed Tomography

Development and external validation of a prediction model for the transition from mild to moderate or severe form of COVID-19

Maéva Zysman, Julien Asselineau, Olivier Saut, Eric Frison, Mathilde Oranger, Arnaud Maurac, Jeremy Charriot, Rkia Achkir, Sophie Regueme, Emilie Klein, Sébastien Bommart, Arnaud Bourdin, Gael Dournes, Julien Casteigt, Alain Blum, Gilbert Ferretti, Bruno Degano, Rodolphe Thiébaut, Francois Chabot, Patrick Berger, Francois Laurent, Ilyes Benlala

Computed Tomography

Prediction of occult peritoneal metastases or positive cytology using CT in gastric cancer

Pengpeng Liu, Ping’an Ding, Haotian Wu, Jiaxiang Wu, Peigang Yang, Yuan Tian, Honghai Guo, Qun Zhao

Open Access Computed Tomography

Metal artifact reduction in patients with total hip replacements: evaluation of clinical photon counting CT using virtual monoenergetic images

Julian Schreck, Kai Roman Laukamp, Julius Henning Niehoff, Arwed Elias Michael, Jan Boriesosdick, Matthias Michael Wöltjen, Jan Robert Kröger, Robert P. Reimer, Jan-Peter Grunz, Jan Borggrefe, Simon Lennartz

Open Access Computer Tomography

Interdisciplinary perspectives on computed tomography in sepsis: survey among medical doctors at a large university medical center

Maria Isabel Opper Hernando, Denis Witham, Peter Richard Steinhagen, Stefan Angermair, Wolfgang Bauer, Friederike Compton, Andreas Edel, Jan Kruse, York Kühnle, Gunnar Lachmann, Susanne Marz, Holger Müller-Redetzky, Jens Nee, Oliver Paul, Damaris Praeger, Carsten Skurk, Miriam Stegemann, Alexander Uhrig, Stefan Wolf, Elke Zimmermann, Kerstin Rubarth, Myrto Bolanaki, Joachim Seybold, Marc Dewey, Julian Pohlan

Computed Tomography

Efficacy of exponentiation method with a convolutional neural network for classifying lung nodules on CT images by malignancy level

Takuma Usuzaki, Kengo Takahashi, Hidenobu Takagi, Mami Ishikuro, Taku Obara, Takumi Yamaura, Masahiro Kamimoto, Kazuhiro Majima

Computed Tomography

Follow-up of liver metastases: a comparison of deep learning and RECIST 1.1

Leo Joskowicz, Adi Szeskin, Shalom Rochman, Aviv Dodi, Richard Lederman, Hila Fruchtman-Brot, Yusef Azraq, Jacob Sosna

Ultrasound

Surveillance for malignant progression of LI-RADS version 2017 category 3/4 nodules using contrast-enhanced ultrasound

Hui Huang, Chao-qun Li, Dan-ni He, Si-min Ruan, Ming-de Li, Mei-qing Cheng, Ming-de Lu, Ming Kuang, Wei Wang, Ying Wang, Li-da Chen

Ultrasound

US LI-RADS in surveillance for recurrent hepatocellular carcinoma after curative treatment

Hui Huang, Mei-Qing Cheng, Dan-Ni He, Meng-Fei Xian, Dan Zeng, Shao-Hong Wu, Chao-Qun Li, Si-Min Ruan, Ming-De Li, Man-Xia Lin, Ming-De Lu, Ming Kuang, Wei Wang, Li-Da Chen

Ultrasound

Assessment of lacrimal gland involvement in primary Sjögren’s syndrome using gray-scale ultrasonography and shear wave elastography

Halil Özer, Sema Yılmaz, Banu Bozkurt, Dilek Tezcan, Merve Yazol, Selda Hakbilen, Ömer Faruk Topaloğlu, Mehmet Sedat Durmaz

Experimental

Combining deep learning and intelligent biometry to extract ultrasound standard planes and assess early gestational weeks

Yuanyuan Pei, Longjiang E, Changping Dai, Jin Han, Haiyu Wang, Huiying Liang

Open Access Experimental

Diagnostic radiology and its future: what do clinicians need and think?

Thomas C. Kwee, Maan T. Almaghrabi, Robert M. Kwee

Open Access Emergency Radiology

Post-traumatic spinal hematoma in diffuse idiopathic skeletal hyperostosis (DISH)

Riku M. Vierunen, Ville V. Haapamäki, Mika P. Koivikko, Frank V. Bensch

Contrast Media

Effects of intravenous hydration in preventing post-contrast acute kidney injury in patients with eGFR < 30 mL/min/1.73 m2

Ping Yan, Shao-Bin Duan, Xiao-Qin Luo, Ning-Ya Zhang, Ying-Hao Deng

Contrast Media

Iodixanol-associated acute kidney injury and prognosis in patients undergoing elective percutaneous coronary intervention: a prospective, multi-center study

Zaiyan Chen, Qi Mao, Li Xiang, Denglu Zhou, Yanbing Jiang, Ning Zhao, Lan Huang, Lorenzo Azzalini, Xiaohui Zhao

Opinion

Radiology in the era of large language models: the near and the dark side of the moon

Pilar López-Úbeda, Teodoro Martín-Noguerol, Antonio Luna

Letter to the Editor

Reply to the letter to the editor: “A critical evaluation on the use of large language model for radiology research”

Pilar López-Úbeda, Teodoro Martín-Noguerol, Antonio Luna

Opinion

Radiology, explicability and AI: closing the gap

Pilar López-Úbeda, Teodoro Martín-Noguerol, Antonio Luna

Radiological Education

Establishing national diagnostic reference levels in radiography, mammography, and dual-energy x-ray absorptiometry services in Ireland and comparing these with European diagnostic reference levels

Lee O’Hora, Noelle Neville, John Tuffy, Agnella Craig, Kirsten O’Brien, Kay Sugrue, Maeve McGarry, Brendan Duggan, Sean Egan

Correction

Correction to: Components of carotid atherosclerotic plaque in spectral photon-counting CT with histopathologic comparison

Shishir Dahal, Aamir Y. Raja, Emily Searle, Frances E. Colgan, Jonathan S. Crighton, Justin Roake, Luca Saba, Steven Gieseg, Anthony P. H. Butler

Correction

Correction: Preoperative diagnosis of metastatic lymph nodes by CT-histopathologic matching analysis in gastric adenocarcinoma using dual-layer spectral detector CT

Ma Luo, Guoming Chen, Hui Xie, Rong Zhang, Ping Yang, Runcong Nie, Zhiwei Zhou, Fei Gao, Yongming Chen, Chuanmiao Xie

Open Access Correction

Correction: Can gadolinium contrast agents be replaced with saline for direct MR arthrography of the hip? A pilot study with arthroscopic comparison

Malin K. Meier, Moritz Wagner, Alexander Brunner, Till D. Lerch, Simon D. Steppacher, Peter Vavron, Ehrenfried Schmaranzer, Florian Schmaranzer

Correction

Correction: Deep learning–based methods may minimize GBCA dosage in brain MRI

Huanyu Luo, Tao Zhang, Nan-Jie Gong, Jonthan Tamir, Srivathsa Pasumarthi Venkata, Cheng Xu, Yunyun Duan, Tao Zhou, Fuqing Zhou, Greg Zaharchuk, Jing Xue, Yaou Liu

Open Access Correction

Correction to: Non-contrast computed tomography features predict intraventricular hemorrhage growth

Jawed Nawabi, Frieder Schlunk, Andrea Dell’Orco, Sarah Elsayed, Federico Mazzacane, Dmitriy Desser, Ly Vu, Estelle Vogt, Haoyin Cao, Maik F. H. Böhmer, Burak Han Akkurt, Peter B. Sporns, Marco Pasi, Ulf Jensen-Kondering, Gabriel Broocks, Tobias Penzkofer, Jens Fiehler, Alessandro Padovani, Uta Hanning, Andrea Morotti

Screening-Mammografie offenbart erhöhtes Herz-Kreislauf-Risiko

26.04.2024 Mammografie Nachrichten

Routinemäßige Mammografien helfen, Brustkrebs frühzeitig zu erkennen. Anhand der Röntgenuntersuchung lassen sich aber auch kardiovaskuläre Risikopatientinnen identifizieren. Als zuverlässiger Anhaltspunkt gilt die Verkalkung der Brustarterien.

S3-Leitlinie zu Pankreaskrebs aktualisiert

23.04.2024 Pankreaskarzinom Nachrichten

Die Empfehlungen zur Therapie des Pankreaskarzinoms wurden um zwei Off-Label-Anwendungen erweitert. Und auch im Bereich der Früherkennung gibt es Aktualisierungen.

Fünf Dinge, die im Kindernotfall besser zu unterlassen sind

18.04.2024 Pädiatrische Notfallmedizin Nachrichten

Im Choosing-Wisely-Programm, das für die deutsche Initiative „Klug entscheiden“ Pate gestanden hat, sind erstmals Empfehlungen zum Umgang mit Notfällen von Kindern erschienen. Fünf Dinge gilt es demnach zu vermeiden.

„Nur wer sich gut aufgehoben fühlt, kann auch für Patientensicherheit sorgen“

13.04.2024 Klinik aktuell Kongressbericht

Die Teilnehmer eines Forums beim DGIM-Kongress waren sich einig: Fehler in der Medizin sind häufig in ungeeigneten Prozessen und mangelnder Kommunikation begründet. Gespräche mit Patienten und im Team können helfen.

Update Radiologie

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