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European Radiology

Ausgabe 7/2023

Inhalt (76 Artikel)

Head and Neck

Clinical value of artificial intelligence in thyroid ultrasound: a prospective study from the real world

Yingying Li, Yihao Liu, Jing Xiao, Lin Yan, Zhen Yang, Xinyang Li, Mingbo Zhang, Yukun Luo

Neuro

Development and validation of a novel radiomics-clinical model for predicting post-stroke epilepsy after first-ever intracerebral haemorrhage

Ru Lin, Jiahe Lin, Yuchen Xu, Yaoyao Yu, Emma Foster, Mengqi Lin, Huiqin Xu, Xianxian Li, Jiahe Ye, Fei Yao, Haoli Xu, Mengjia Chen, Jiayi Chen, Han Zheng, Jia Li, Mo Zheng, Shanshan Huang, Suiqiang Zhu, Yunjun Yang, Xinshi Wang

Open Access Neuro

Midbrain and pons MRI shape analysis and its clinical and CSF correlates in degenerative parkinsonisms: a pilot study

C. Painous, S. Pascual-Diaz, E. Muñoz-Moreno, V. Sánchez, JC. Pariente, A. Prats-Galino, M. Soto, M. Fernández, A. Pérez-Soriano, A. Camara, E. Muñoz, F. Valldeoriola, N. Caballol, C. Pont-Sunyer, N. Martin, M. Basora, M. Tio, J. Rios, MJ. Martí, N. Bargalló, Y. Compta

Neuro

Feasibility of 18F-florzolotau quantification in patients with Alzheimer’s disease based on an MRI-free tau PET template

Jiaying Lu, Zizhao Ju, Min Wang, Xun Sun, Chenhao Jia, Ling Li, Weiqi Bao, Huiwei Zhang, Fangyang Jiao, Huamei Lin, Tzu-Chen Yen, Ruixue Cui, Xiaoli Lan, Qianhua Zhao, Yihui Guan, Chuantao Zuo

Open Access Neuro

Brain deposition of gadobutrol in children—a cross-sectional and longitudinal MRI T1 mapping study

Daniel Gräfe, Stefan-Horia Simion, Maciej Rosolowski, Andreas Merkenschlager, Jens Frahm, Dirk Voit, Franz Wolfgang Hirsch

Open Access Breast

Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks

Raphael Sexauer, Patryk Hejduk, Karol Borkowski, Carlotta Ruppert, Thomas Weikert, Sophie Dellas, Noemi Schmidt

Cardiac

Multiparametric cardiovascular magnetic resonance characteristics and dynamic changes in asymptomatic heart-transplanted patients

Yuelong Yang, Tingyu Li, Xiaobing Zhou, Zekun Tan, Rui Chen, Zebin Xiao, Xiaodan Li, Wei Luo, Huanwen Xu, Weitao Ye, Entao Liu, Zhigang Wu, Min Wu, Hui Liu

Cardiac

Radiomics-based machine learning models in STEMI: a promising tool for the prediction of major adverse cardiac events

Emine Sebnem Durmaz, Mert Karabacak, Burak Berksu Ozkara, Osman Aykan Kargın, Utku Raimoglu, Hasan Tokdil, Eser Durmaz, Ibrahim Adaletli

Open Access Cardiac

Dark papillary muscles sign: a novel prognostic marker for cardiac magnetic resonance

Giovanni Donato Aquaro, Carmelo De Gori, Giulia Grilli, Roberto Licordari, Andrea Barison, Giancarlo Todiere, Umberto Ianni, Matteo Parollo, Crysanthos Grigoratos, Luca Restivo, Antonio De Luca, Lorenzo Faggioni, Dania Cioni, Gianfranco Sinagra, Gianluca Di Bella, Emanuele Neri

Open Access Cardiac

Cardiac magnetic resonance shows increased adverse ventricular remodeling in younger patients after ST-segment elevation myocardial infarction

Ruifeng Guo, Xiao Wang, Qian Guo, Yan Yan, Wei Gong, Wen Zheng, Guanqi Zhao, Hui Wang, Lei Xu, Shaoping Nie

Open Access Cardiac

Prevalence and pattern of focal and potential diffuse myocardial fibrosis in male and female marathon runners using contrast-enhanced cardiac magnetic resonance

Haissam Ragab, Gunnar K. Lund, Lynn Breitsprecher, Martin R. Sinn, Kai Muellerleile, Ersin Cavus, Christian Stehning, Enver Tahir, Stefan Blankenberg, Monica Patten, Axel Pressler, Gerhard Adam, Maxim Avanesov

Cardiac

Prognostic value of CT-derived coronary artery disease characteristics varies by ASCVD risk: insights from the PROMISE trial

Borek Foldyna, Thomas Mayrhofer, Michael T. Lu, Júlia Karády, Márton Kolossváry, Maros Ferencik, Svati H. Shah, Neha J. Pagidipati, Pamela S. Douglas, Udo Hoffmann

Open Access Cardiac

Radiation dose optimization for photon-counting CT coronary artery calcium scoring for different patient sizes: a dynamic phantom study

Magdalena M. Dobrolinska, Niels R. van der Werf, Judith van der Bie, Joël de Groen, Marcel Dijkshoorn, Ronald Booij, Ricardo P. J. Budde, Marcel J. W. Greuter, Marcel van Straten

Cardiac

Evaluation of left ventricular blood flow kinetic energy in patients with hypertension by four-dimensional flow cardiovascular magnetic resonance imaging: a preliminary study

Kun Peng, Xueli Zhang, Ting Hua, Lidi Wan, Fuxia Xiao, Xianling Zhang, Yong Liu, Yali Xu, Huan Tang, Shuai Wang, Guangyu Tang

Cardiac

Optimization of null point in Look-Locker images for myocardial late gadolinium enhancement imaging using deep learning and a smartphone

Yasutoshi Ohta, Emi Tateishi, Yoshiaki Morita, Tatsuya Nishii, Akiyuki Kotoku, Hiroki Horinouchi, Midori Fukuyama, Tetsuya Fukuda

Chest

Pulmonary circulation abnormalities in post-acute COVID-19 syndrome: dual-energy CT angiographic findings in 79 patients

Islam Mohamed, Virginie de Broucker, Alain Duhamel, Jessica Giordano, Alice Ego, Nicolas Fonne, Cécile Chenivesse, Jacques Remy, Martine Remy-Jardin

Association of subpleural ground-glass opacities with respiratory failure and RNAemia in COVID-19

K. Nagaoka, H. Kawasuji, Y. Takegoshi, Y. Murai, M. Kaneda, A. Ueno, Y. Miyajima, M. Wakasugi, K. Noguchi, S. Morimoto, Y. Morinaga, Y. Yamamoto

Chest

Incidental coronary artery calcification on non-gated CT thorax correlates with risk of cardiovascular events and death

Maria T. A. Wetscherek, Edwina McNaughton, Veronika Majcher, Andreas Wetscherek, Timothy J. Sadler, Ahmed Alsinbili, Wen Hui Teh, Samuel D. Moore, Nirav Patel, William P. W. Smith, Unni Krishnan

Chest

Prediction of histologic types in solid lung lesions using preoperative contrast-enhanced CT

Xiaonan Cui, Sunyi Zheng, Wenjia Zhang, Shuxuan Fan, Jing Wang, Feipeng Song, Xu Liu, Weijie Zhu, Zhaoxiang Ye

Chest

Antisynthetase syndrome–related interstitial lung disease (ASyS-ILD): longitudinal imaging findings

Wei Wu, Bridget F. Collins, Gregory C. Gardner, Daniel S. Hippe, Lawrence A. Ho, Ganesh Raghu, Sudhakar N. J. Pipavath

Impact of COVID-19 pneumonia on interstitial lung disease: semi-quantitative evaluation with computed tomography

Sevtap Doğan, Gözde Selvi Güldiken, Burcu Alpaslan, Serap Argun Barış, Nurettin Özgür Doğan

Open Access Chest

Congenital lung abnormalities on magnetic resonance imaging: the CLAM study

Bernadette B. L. J. Elders, Casper M. Kersten, Sergei M. Hermelijn, Piotr A. Wielopolski, Harm A. W. M. Tiddens, J. Marco Schnater, Pierluigi Ciet

Musculoskeletal

Aponeurotic expansion of the supraspinatus tendon and concomitant shoulder pathologies

Wan Jo, Hee Jin Park, Ji Na Kim, Myung Sub Kim, Hyunchul Shin, Chang Ho Kang

Musculoskeletal

XGBoost-based multiparameters from dual-energy computed tomography for the differentiation of multiple myeloma of the spine from vertebral osteolytic metastases

Jinfang Shi, Haiping Huang, Suqin Xu, Lihong Du, Xiangfei Zeng, Ying Cao, Daihong Liu, Xiaoxia Wang, Jiuquan Zhang

Musculoskeletal

Predictive model based on DCE-MRI and clinical features for the evaluation of pain response after stereotactic body radiotherapy in patients with spinal metastases

Yongye Chen, Qizheng Wang, Guangjin Zhou, Ke Liu, Siyuan Qin, Weili Zhao, Peijin Xin, Huishu Yuan, Hongqing Zhuang, Ning Lang

Musculoskeletal

Automated diagnosis of flatfoot using cascaded convolutional neural network for angle measurements in weight-bearing lateral radiographs

Seung Min Ryu, Keewon Shin, Soo Wung Shin, Sun Ho Lee, Su Min Seo, Seung-Uk Cheon, Seung-Ah Ryu, Min-Ju Kim, Hyunjung Kim, Chang Hyun Doh, Young Rak Choi, Namkug Kim

Open Access Musculoskeletal

Frequency of anterolateral ligament tears and ramp lesions in patients with anterior cruciate ligament tears and associated injuries indicative for these lesions—a retrospective MRI analysis

Nikolaus Stranger, Christian Kaulfersch, Georg Mattiassich, Jürgen Mandl, Peter A. Hausbrandt, Dieter Szolar, Helmut Schöllnast, Manfred Tillich

Musculoskeletal

Ultrashort echo time magnetization transfer imaging of knee cartilage and meniscus after long-distance running

Dantian Zhu, Wenhao Wu, Wenjun Yu, Guobin Hong, Yijie Fang, Shaolin Li, Yajun Ma

Musculoskeletal

Magnetic resonance shoulder imaging using deep learning–based algorithm

Jing Liu, Wei Li, Ziyuan Li, Junzhe Yang, Ke Wang, Xinming Cao, Naishan Qin, Ke Xue, Yongming Dai, Peng Wu, Jianxing Qiu

Open Access Musculoskeletal

Evaluation of a deep learning-based reconstruction method for denoising and image enhancement of shoulder MRI in patients with shoulder pain

Georg C. Feuerriegel, Kilian Weiss, Sophia Kronthaler, Yannik Leonhardt, Jan Neumann, Markus Wurm, Nicolas S. Lenhart, Marcus R. Makowski, Benedikt J. Schwaiger, Klaus Woertler, Dimitrios C. Karampinos, Alexandra S. Gersing

Open Access Computed Tomography

Phantom-based radiomics feature test–retest stability analysis on photon-counting detector CT

Alexander Hertel, Hishan Tharmaseelan, Lukas T. Rotkopf, Dominik Nörenberg, Philipp Riffel, Konstantin Nikolaou, Jakob Weiss, Fabian Bamberg, Stefan O. Schoenberg, Matthias F. Froelich, Isabelle Ayx

Magnetic Resonance

Aneurysm wall enhancement, atherosclerotic proteins, and aneurysm size may be related in unruptured intracranial fusiform aneurysms

Fei Peng, Hao Niu, Xin Feng, Lang Liu, Peng Xu, Hong Zhang, Jigang Chen, Xin Tong, Jiaxiang Xia, Xiaoxin He, Boya Xu, Xuge Chen, Binbin Sui, Yonghong Duan, Xingquan Zhao, Aihua Liu

Magnetic Resonance

Using T1 mapping indices to evaluate muscle function and predict conservative treatment outcomes in diabetic patients with peripheral arterial disease

Yu-Ching Lin, Tieh-Cheng Fu, Gigin Lin, Shu-Hang Ng, Chi-Hsiao Yeh, Soh-Chin Ng, Tsun-Ching Chang, Yu-Hsiang Juan

Magnetic Resonance

Free-breathing and instantaneous abdominal T2 mapping via single-shot multiple overlapping-echo acquisition and deep learning reconstruction

Xi Lin, Lixing Dai, Qinqin Yang, Qizhi Yang, Hongjian He, Lingceng Ma, Jingjing Liu, Jingliang Cheng, Congbo Cai, Jianfeng Bao, Zhong Chen, Shuhui Cai, Jianhui Zhong

Open Access Magnetic Resonance

Deep learning nomogram based on Gd-EOB-DTPA MRI for predicting early recurrence in hepatocellular carcinoma after hepatectomy

Meng Yan, Xiao Zhang, Bin Zhang, Zhijun Geng, Chuanmiao Xie, Wei Yang, Shuixing Zhang, Zhendong Qi, Ting Lin, Qiying Ke, Xinming Li, Shutong Wang, Xianyue Quan

Magnetic Resonance

Aorta and tracheobronchial invasion in esophageal cancer: comparing diagnostic performance of 3.0-T MRI and CT

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

Open Access Magnetic Resonance

1.5-T MR relaxometry in quantifying splenic and pancreatic iron: retrospective comparison of a commercial 3D-Dixon sequence and an established 2D multi-gradient echo sequence

Michaela Plaikner, Lukas Lanser, Christian Kremser, Günter Weiss, Benjamin Henninger

Magnetic Resonance

Multiparametric MR imaging with diffusion-weighted, intravoxel incoherent motion, diffusion tensor, and dynamic contrast-enhanced perfusion sequences to assess gallbladder wall thickening: a prospective study based on surgical histopathology

Daneshwari Kalage, Pankaj Gupta, Ajay Gulati, Thakur Deen Yadav, Vikas Gupta, Lileswar Kaman, Ritambhra Nada, Harjeet Singh, Santosh Irrinki, Parikshaa Gupta, Chandan Das, Usha Dutta, Manavjit Sandhu

Magnetic Resonance

Early shoulder-girdle MRI findings in severe COVID-19–related intensive care unit-acquired weakness: a prospective cohort study

Camille Daste, Fadila Mihoubi, Alexandra Roren, Alina Dumitrache, Nicolas Carlier, Sarah Benghanem, Aude Ruttimann, Jean-Paul Mira, Frédéric Pène, Nicolas Roche, Paul Seror, Christelle Nguyen, François Rannou, Jean-Luc Drapé, Marie-Martine Lefèvre-Colau

Nuclear Medicine

The added value of [68Ga]Ga-DOTA-FAPI-04 PET/CT in pancreatic cancer: a comparison to [18F]F-FDG

Qiufang Liu, Si Shi, Shuai Liu, Xiaoping Xu, Silong Hu, Ji Zhang, Chunmei Wang, Xianjun Yu, Shaoli Song

Molecular Imaging

Ultralow-dose [18F]FDG PET/CT imaging: demonstration of feasibility in dynamic and static images

Hui Tan, Chi Qi, Yanyan Cao, Danjie Cai, Wujian Mao, Haojun Yu, Xiuli Sui, Guobing Liu, Hongcheng Shi

Open Access Experimental

Feasibility study of direct CT lymphangiography in mice: comparison with interstitial CT/MR lymphangiography

Haruto Sugawara, Toshihiro Furuta, Akira Sumiyoshi, Megumi Iiyama, Masaru Kamitani, Aiko Suzuki, Arao Murakami, Osamu Abe, Ichio Aoki, Hiroyuki Akai

Open Access Paediatric

Pediatric whole-body magnetic resonance imaging: comparison of STIR and T2 Dixon sequences in the detection and grading of high signal bone marrow changes

P. Zadig, E. von Brandis, L. S. Ording Müller, L. Tanturri de Horatio, K. Rosendahl, D. F. M. Avenarius

Imaging Informatics and Artificial Intelligence

Benign vs malignant vertebral compression fractures with MRI: a comparison between automatic deep learning network and radiologist’s assessment

Beibei Liu, Yuchen Jin, Shixiang Feng, Haoyan Yu, Ya Zhang, Yuehua Li

Musculoskeletal

Differentiation of benign versus malignant indistinguishable vertebral compression fractures by different machine learning with MRI-based radiomic features

Hao Zhang, Genji Yuan, Chao Wang, Hongshun Zhao, Kai Zhu, Jianwei Guo, Mingrui Chen, Houchen Liu, Guangjie Yang, Yan Wang, Xuexiao Ma

Open Access Imaging Informatics and Artificial Intelligence

Implementation of artificial intelligence in thoracic imaging—a what, how, and why guide from the European Society of Thoracic Imaging (ESTI)

Fergus Gleeson, Marie-Pierre Revel, Jürgen Biederer, Anna Rita Larici, Katharina Martini, Thomas Frauenfelder, Nicholas Screaton, Helmut Prosch, Annemiek Snoeckx, Nicola Sverzellati, Benoit Ghaye, Anagha P. Parkar

Imaging Informatics and Artificial Intelligence

Automated prostate multi-regional segmentation in magnetic resonance using fully convolutional neural networks

Ana Jimenez-Pastor, Rafael Lopez-Gonzalez, Belén Fos-Guarinos, Fabio Garcia-Castro, Mark Wittenberg, Asunción Torregrosa-Andrés, Luis Marti-Bonmati, Margarita Garcia-Fontes, Pablo Duarte, Juan Pablo Gambini, Leonardo Kayat Bittencourt, Felipe Campos Kitamura, Vasantha Kumar Venugopal, Vidur Mahajan, Pablo Ros, Emilio Soria-Olivas, Angel Alberich-Bayarri

Imaging Informatics and Artificial Intelligence

Automatic segmentation and radiomic texture analysis for osteoporosis screening using chest low-dose computed tomography

Yung-Chieh Chen, Yi-Tien Li, Po-Chih Kuo, Sho-Jen Cheng, Yi-Hsiang Chung, Duen-Pang Kuo, Cheng-Yu Chen

COVID-19 Imaging Informatics and Artificial Intelligence

COVID-19 and vaccination impact on radiology departments provided by Dose Archiving and Communication System

Olivier Meyrignac, Clément Devic, Mélodie Munier, Emily Rius, Maud Crézé, Ramiro Moreno

Imaging Informatics and Artificial Intelligence

The added value of AI-based computer-aided diagnosis in classification of cancer at prostate MRI

Guiqin Liu, Shihang Pan, Rui Zhao, Huang Zhou, Jie Chen, Xiang Zhou, Jianrong Xu, Yan Zhou, Wei Xue, Guangyu Wu

Hepatobiliary-Pancreas

A retrospective preliminary study of intrapancreatic late enhancement as a noteworthy imaging finding in the early stages of pancreatic adenocarcinoma

Yoshihiro Konno, Yasuhiro Sugai, Masafumi Kanoto, Keisuke Suzuki, Toshitada Hiraka, Yuki Toyoguchi, Kazuho Niino

Hepatobiliary-Pancreas

Relative enhancement index can be used to quantify liver function in cirrhotic patients that undergo gadoxetic acid–enhanced MRI

Antonio Luis Eiras-Araújo, Daniella Braz Parente, Alexandre Cerqueira da Silva, Guilherme Ferreira da Motta Rezende, Gustavo Braga Mendes, Ronir Raggio Luiz, Rebecca de Oliveira Souza, Stefanos da Costa Generalis, Rosana Souza Rodrigues, Renata Mello Perez

Gastrointestinal

Sarcopenia assessed with DXA and CT increases the risk of perioperative complications in patients with gastrectomy

Mimi Kim, Chul-min Lee, Bo Kyeong Kang, Tae Kyung Ha, Yun Young Choi, Soo Jin Lee

Gastrointestinal

Whole-tumor amide proton transfer–weighted imaging histogram analysis to predict pathological extramural venous invasion in rectal adenocarcinoma: a preliminary study

Weicui Chen, Guoqing Liu, Jialiang Chen, Qiurong Wei, Yongsong Ye, Xiaohua Du, Jiepin Feng, Zhaoxian Yan, Kan Deng, Xian Liu

Gastrointestinal

Spectral CT-based nomogram for preoperative prediction of perineural invasion in locally advanced gastric cancer: a prospective study

Jing Li, Shuning Xu, Yi Wang, Mengjie Fang, Fei Ma, Chunmiao Xu, Hailiang Li

Open Access Gastrointestinal

CT colonography: can we achieve an adequate bowel preparation without diet restriction?

Marco Rengo, Filippo Tiberia, Simone Vicini, Davide Bellini, Michela Celestre, Gianfranco Trionfera, Andrea Laghi, Iacopo Carbone

Correction

Correction: Aponeurotic expansion of the supraspinatus tendon and concomitant shoulder pathologies

Wan Jo, Hee Jin Park, Ji Na Kim, Myung Sub Kim, Hyunchul Shin, Chang Ho Kang

Correction

Correction: Multiparametric cardiovascular magnetic resonance characteristics and dynamic changes in asymptomatic heart-transplanted patients

Yuelong Yang, Tingyu Li, Xiaobing Zhou, Zekun Tan, Rui Chen, Zebin Xiao, Xiaodan Li, Wei Luo, Huanwen Xu, Weitao Ye, Entao Liu, Zhigang Wu, Min Wu, Hui Liu

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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