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European Radiology

Ausgabe 12/2022

Inhalt (75 Artikel)

Neuro

Iron-sensitive MR imaging of the primary motor cortex to differentiate hereditary spastic paraplegia from other motor neuron diseases

Mirco Cosottini, Graziella Donatelli, Ivana Ricca, Francesca Bianchi, Daniela Frosini, Vincenzo Montano, Gianmichele Migaleddu, Eleonora Del Prete, Alessandra Tessa, Paolo Cecchi, Claudio D’Amelio, Gabriele Siciliano, Michelangelo Mancuso, Filippo Maria Santorelli

Neuro

Prognostic value of post-treatment fluid-attenuated inversion recovery vascular hyperintensity in ischemic stroke after endovascular thrombectomy

Xiao-Quan Xu, Guang-Chen Shen, Gao Ma, Yue Chu, Shan-Shan Lu, Sheng Liu, Hai-Bin Shi, Fei-Yun Wu

Neuro

Adding radiomics to the 2021 WHO updates may improve prognostic prediction for current IDH-wildtype histological lower-grade gliomas with known EGFR amplification and TERT promoter mutation status

Yae Won Park, Sooyon Kim, Chae Jung Park, Sung Soo Ahn, Kyunghwa Han, Seok-Gu Kang, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee

Head and Neck

Machine learning–based radiomics for histological classification of parotid tumors using morphological MRI: a comparative study

Zhiying He, Yitao Mao, Shanhong Lu, Lei Tan, Juxiong Xiao, Pingqing Tan, Hailin Zhang, Guo Li, Helei Yan, Jiaqi Tan, Donghai Huang, Yuanzheng Qiu, Xin Zhang, Xingwei Wang, Yong Liu

Cardiac

Plaque progression at coronary CT angiography links non-alcoholic fatty liver disease and cardiovascular events: a prospective single-center study

Meng-Meng Yu, Xiang-Lin Tang, Xin Zhao, Yin-Yin Chen, Zhi-Han Xu, Qi-Bing Wang, Meng-Su Zeng

Chest

Can deep learning improve image quality of low-dose CT: a prospective study in interstitial lung disease

Ruijie Zhao, Xin Sui, Ruiyao Qin, Huayang Du, Lan Song, Duxue Tian, Jinhua Wang, Xiaoping Lu, Yun Wang, Wei Song, Zhengyu Jin

Chest

Quantitative CT and machine learning classification of fibrotic interstitial lung diseases

Chi Wan Koo, James M. Williams, Grace Liu, Ananya Panda, Parth P. Patel, Livia Maria M. Frota Lima, Ronald A. Karwoski, Teng Moua, Nicholas B. Larson, Alex Bratt

Open Access Chest

Association between visual emphysema and lung nodules on low-dose CT scan in a Chinese Lung Cancer Screening Program (Nelcin-B3)

Xiaofei Yang, Monique D. Dorrius, Wenzhen Jiang, Zhenhui Nie, Rozemarijn Vliegenthart, Harry J. M. Groen, Marjolein A. Heuvelmans, Grigory Sidorenkov, Marleen Vonder, Zhaoxiang Ye, Geertruida H. de Bock

Chest

Comparison of expected imaging findings following percutaneous microwave and cryoablation of pulmonary tumors: ablation zones and thoracic lymph nodes

Maria M. Wrobel, Alexis M. Cahalane, Dessislava Pachamanova, Konstantin S. Leppelmann, Stuart G. Silverman, Amita Sharma, Paul B. Shyn, Nathaniel D. Mercaldo, Florian J. Fintelmann

Chest

The role of radiology in addressing the challenge of lung cancer after lung transplantation

Francis T. Delaney, John G. Murray, Barry D. Hutchinson, Jim J. Egan, Michelle Murray, Sara Winward, Nicola Ronan, Carmel G. Cronin

Radiological Education

Virtual conferences: results of an international survey on radiologist preferences and perspectives

Gennaro D’Anna, Lorenzo Ugga, Renato Cuocolo, Melissa Mei Chen, Deborah Rachelle Shatzkes, Emin Turgut Tali, Amy Patel, Amy Louise Kotsenas, Johan Van Goethem, Tushar Garg, Joshua Adam Hirsch, Luis Martí-Bonmatí, Frank Gaillard, Erik Ranschaert

Breast

Predicting the risk of axillary lymph node metastasis in early breast cancer patients based on ultrasonographic-clinicopathologic features and the use of nomograms: a prospective single-center observational study

Wengcheng Fong, Luyuan Tan, Cui Tan, Hongli Wang, Fengtao Liu, Huan Tian, Shiyu Shen, Ran Gu, Yue Hu, Xiaofang Jiang, Jingsi Mei, Jing Liang, Tingting Hu, Kai Chen, Fengyan Yu

Breast

MRI characteristics of breast edema for assessing axillary lymph node burden in early-stage breast cancer: a retrospective bicentric study

Zeyan Xu, Yingying Ding, Ke Zhao, Chu Han, Zhenwei Shi, Yanfen Cui, Chunling Liu, Huan Lin, Xipeng Pan, Pinxiong Li, Minglei Chen, Huihui Wang, Xiaohui Deng, Changhong Liang, Yu Xie, Zaiyi Liu

Open Access Breast

Impact of contrast-enhanced mammography in surgical management of breast cancers for women with dense breasts: a dual-center, multi-disciplinary study in Asia

Yonggeng Goh, Chen-Pin Chou, Ching Wan Chan, Shaik Ahmad Buhari, Mikael Hartman, Siau Wei Tang, Celene Wei Qi Ng, Premilla Pillay, Wynne Chua, Pooja Jagmohan, Eide Sterling, Ying Mei Wong, Loon Ying Tan, Han Yang Ong, Huay-Ben Pan, Herng-Sheng Lee, Bao-Hui Hung, Swee Tian Quek

Open Access Breast

Possible strategies for use of artificial intelligence in screen-reading of mammograms, based on retrospective data from 122,969 screening examinations

Marthe Larsen, Camilla F. Aglen, Solveig R. Hoff, Håkon Lund-Hanssen, Solveig Hofvind

Urogenital

Evaluation of the T2-weighted (T2W) adrenal MRI calculator to differentiate adrenal pheochromocytoma from lipid-poor adrenal adenoma

Rosalind Gerson, Wendy Tu, Jorge Abreu-Gomez, Amar Udare, Rachel McPhedran, Tim Ramsay, Nicola Schieda

Open Access Urogenital

Validating the screening criteria for bone metastases in treatment-naïve unfavorable intermediate and high-risk prostate cancer - the prevalence and location of bone- and lymph node metastases

Erik Rud, Daniyal Noor, Kristina Flor Galtung, Fredrik Ottosson, Maciej Jacewicz, Eduard Baco, Peter Mæhre Lauritzen

Gastrointestinal

Value of 3-T MR imaging in intraductal papillary mucinous neoplasm with a concomitant invasive carcinoma

Hidemitsu Sotozono, Akihiko Kanki, Kazuya Yasokawa, Akira Yamamoto, Hiroyasu Sanai, Kazunori Moriya, Tsutomu Tamada

Open Access Gastrointestinal

Development and validation of an ultrasound-based prediction model for differentiating between malignant and benign solid pancreatic lesions

Jiayan Huang, Jie Yang, Jianming Ding, Jing Zhou, Rui Yang, Jiawu Li, Yan Luo, Qiang Lu

Open Access Gastrointestinal

The development of a minimum dataset for MRI reporting of anorectal fistula: a multi-disciplinary, expert consensus process

Nusrat Iqbal, Charlene Sackitey, Arun Gupta, Damian Tolan, Andrew Plumb, Edmund Godfrey, Catherine Grierson, Andrew Williams, Steven Brown, Charles Maxwell-Armstrong, Iain Anderson, Christian Selinger, Alan Lobo, Ailsa Hart, Phil Tozer, Phillip Lung

Hepatobiliary-Pancreas

Quantitative analysis of enhanced CT in differentiating well-differentiated pancreatic neuroendocrine tumors and poorly differentiated neuroendocrine carcinomas

Hai-Yan Chen, Yao Pan, Jie-Yu Chen, Lu-lu Liu, Yong-Bo Yang, Kai Li, Ri-Sheng Yu, Guo-Liang Shao

Hepatobiliary-Pancreas

CT-based clinico-radiological nomograms for prognosis prediction in patients with intrahepatic mass-forming cholangiocarcinoma: a multi-institutional study

Chen Yu Jiao, Hui Zhang, Gu Wei Ji, Qing Xu, Ming Lu, Biao Zhang, Yue Yang, Xue Hao Wang, Xiang Cheng Li

Hepatobiliary-Pancreas

MR elastography outperforms shear wave elastography for the diagnosis of clinically significant portal hypertension

Paul Kennedy, Daniel Stocker, Guillermo Carbonell, Daniela Said, Octavia Bane, Stefanie Hectors, Ghadi Abboud, Jordan Cuevas, Bradley D. Bolster Jr, Scott L. Friedman, Sara Lewis, Thomas Schiano, Dipankar Bhattacharya, Aaron Fischman, Swan Thung, Bachir Taouli

Open Access Musculoskeletal

Rotational abnormalities in dysplastic hips and how to predict acetabular torsion

Carsten Y. W. Heimer, Friedemann Göhler, J. Turner Vosseller, Sebastian Hardt, Carsten Perka, Henrik C. Bäcker

Open Access Musculoskeletal

Adjacent cartilage tissue structure after successful transplantation: a quantitative MRI study using T2 mapping and texture analysis

Veronika Janacova, Pavol Szomolanyi, Alexandra Kirner, Siegfried Trattnig, Vladimir Juras

Open Access Musculoskeletal

Deep learning–based acceleration of Compressed Sense MR imaging of the ankle

Sarah C. Foreman, Jan Neumann, Jessie Han, Norbert Harrasser, Kilian Weiss, Johannes M. Peeters, Dimitrios C. Karampinos, Marcus R. Makowski, Alexandra S. Gersing, Klaus Woertler

Musculoskeletal

Anterior cruciate ligament foot plate anatomy: 3-dimensional and 2-dimensional MRI evaluation with arthroscopy assessment in a subset of patients

Toan Nguyen, Shamrez Haider, David Tietze, Yin Xi, Uma Thakur, Jay Shah, Avneesh Chhabra

Musculoskeletal

Deep learning to detect anterior cruciate ligament tear on knee MRI: multi-continental external validation

Alexia Tran, Louis Lassalle, Pascal Zille, Raphaël Guillin, Etienne Pluot, Chloé Adam, Martin Charachon, Hugues Brat, Maxence Wallaert, Gaspard d’Assignies, Benoît Rizk

Musculoskeletal

Long-term comparison between blind and ultrasound-guided corticoid injections in Morton neuroma

Fernando Ruiz Santiago, Pablo Tomás Muñoz, Antonio Jesús Láinez Ramos-Bossini, Alberto Martínez Martínez, Nicolás Prados Olleta

Nuclear Medicine

Combined [18F]FDG-PET with MRI structural patterns in predicting post-surgical seizure outcomes in temporal lobe epilepsy patients

Zhen-Ming Wang, Peng-Hu Wei, Chunxiu Wang, Yaqin Hou, Kun Guo, Bixiao Cui, Yongzhi Shan, Guo-Guang Zhao, Jie Lu

Open Access Contrast Media

Risk of acute kidney injury after contrast-enhanced computerized tomography: a systematic review and meta-analysis of 21 propensity score–matched cohort studies

Mikal Obed, Maria Magdalena Gabriel, Eva Dumann, Clara Vollmer Barbosa, Karin Weißenborn, Bernhard Magnus Wilhelm Schmidt

Oncology

A systematic review of prognosis predictive role of radiomics in pancreatic cancer: heterogeneity markers or statistical tricks?

Yuhan Gao, Sihang Cheng, Liang Zhu, Qin Wang, Wenyi Deng, Zhaoyong Sun, Shitian Wang, Huadan Xue

Paediatric

Automated segmentation of whole-body CT images for body composition analysis in pediatric patients using a deep neural network

Seul Bi Lee, Yeon Jin Cho, Soon Ho Yoon, Yun Young Lee, Soo-Hyun Kim, Seunghyun Lee, Young Hun Choi, Jung-Eun Cheon

Paediatric

Emergency whole-body CT scans in pediatric patients with trauma: patterns of injuries, yield of dual-phase scanning, and influence of second read on detection of injuries

Pauline Didion, Amandine Crombé, Alexia Dabadie, Sophie Hassid, Mylène Seux, Guillaume Gorincour, Nathan Banaste

Ultrasound

Evaluation of the diagnostic performance of the EFSUMB CEUS Pancreatic Applications guidelines (2017 version): a retrospective single-center analysis of 455 solid pancreatic masses

Wan-ying Jia, Yang Gui, Xue-qi Chen, Xiao-qian Zhang, Jia-hui Zhang, Meng-hua Dai, Jun-chao Guo, Xiao-yan Chang, Li Tan, Chun-mei Bai, Yue-juan Cheng, Jian-chu Li, Ke Lv, Yu-xin Jiang

Ultrasound

Predicting ultrasound-guided thermal ablation benefit in primary hyperparathyroidism

Yang Liu, Chengzhong Peng, Huihui Chai, Mingan Yu, Songsong Wu, Linxue Qian, Zhiyu Han, Jie Yu, Fangyi Liu, Ping Liang

Ultrasound

Perfluorobutane-enhanced ultrasonography with a Kupffer phase: improved diagnostic sensitivity for hepatocellular carcinoma

Jeong Ah Hwang, Woo Kyoung Jeong, Hyo-Jin Kang, Eun Sun Lee, Hyun Jeong Park, Jeong Min Lee

Ultrasound

Are all local tumour progressions of HCC related to thermal ablation? A study of the causes and classification of local tumour progression

Wen-zhen Ding, Sisi Liu, Fangyi Liu, Zhigang Cheng, Xiaoling Yu, Zhi-yu Han, Jie Yu, Ping Liang

Computed Tomography

Nomogram based on CT–derived extracellular volume for the prediction of post-hepatectomy liver failure in patients with resectable hepatocellular carcinoma

Yangling Peng, Hesong Shen, Hao Tang, Yuanying Huang, Xiaosong Lan, Xianzhang Luo, Xiaoyue Zhang, Jiuquan Zhang

Computed Tomography

Ureteral calculi lithotripsy for single ureteral calculi: can DNN-assisted model help preoperatively predict risk factors for sepsis?

Mingzhen Chen, Jiannan Yang, Junlin Lu, Ziling Zhou, Kun Huang, Sihan Zhang, Guanjie Yuan, Qingpeng Zhang, Zhen Li

Computed Tomography

Clinical validation of an AI-based motion correction reconstruction algorithm in cerebral CT

Leilei Zhou, Hao Liu, Yi-Xuan Zou, Guozhi Zhang, Bin Su, Liyan Lu, Yu-Chen Chen, Xindao Yin, Hong-Bing Jiang

Computed Tomography

Incidence of malignancy in adrenal nodules detected on staging CTs of patients with potentially resectable colorectal cancer

Hae Young Kim, Yoon Jin Lee, Won Chang, Ji Hoon Park, Jungheum Cho, Hyeon Jeong Oh, Young Hoon Kim, Kyoung Ho Lee

Computed Tomography

Associations of radiological features of adipose tissues with postoperative complications and overall survival of gastric cancer patients

Linjie Bian, Danping Wu, Yigang Chen, Jianming Ni, Huiheng Qu, Zhen Li, Xulei Chen

Computed Tomography

First-generation clinical dual-source photon-counting CT: ultra-low-dose quantitative spectral imaging

Leening P. Liu, Nadav Shapira, Andrew A. Chen, Russell T. Shinohara, Pooyan Sahbaee, Mitchell Schnall, Harold I. Litt, Peter B. Noël

Open Access Computed Tomography

Sensitivity of virtual non-contrast dual-energy CT urogram for detection of urinary calculi: a systematic review and meta-analysis

Katherine McCoombe, Karen Dobeli, Steven Meikle, Stacey Llewellyn, Peter Kench

Open Access Magnetic Resonance

Quantitative normal values of helical flow, flow jets and wall shear stress of healthy volunteers in the ascending aorta

Sebastian Ebel, Alexander Kühn, Abhinav Aggarwal, Benjamin Köhler, Benjamin Behrendt, Robin Gohmann, Boris Riekena, Christian Lücke, Juliane Ziegert, Charlotte Vogtmann, Bernhard Preim, Siegfried Kropf, Bernd Jung, Timm Denecke, Matthias Grothoff, Matthias Gutberlet

Magnetic Resonance

The value of gadobenate dimeglumine–enhanced biliary imaging from the hepatobiliary phase for predicting post-hepatectomy liver failure in HCC patients

Dongxiao Meng, Changhu Liang, Yuanwen Zheng, Ximing Wang, Keke Liu, Zhengyu Lin, Qiang Zhu, Xinya Zhao

Open Access Magnetic Resonance

Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force

Oliver Lukas Sedlaczek, Jens Kleesiek, Ferdia A. Gallagher, Jacob Murray, Sebastian Prinz, Raquel Perez-Lopez, Evia Sala, Caroline Caramella, Sebastian Diffetock, Nathalie Lassau, Andrew N. Priest, Chikako Suzuki, Roberto Vargas, Tommaso Giandini, Marta Vaiani, Antonella Messina, Lennart K. Blomqvist, Regina G. H. Beets-Tan, Petra Oberrauch, Heinz-Peter Schlemmer, Michael Bach

Magnetic Resonance

Transient severe motion artifacts on gadoxetic acid–enhanced MRI: risk factor analysis in 2230 patients

Eun Bee Jang, Dong Wook Kim, Sang Hyun Choi, Seung Baek Hong, Taeyong Park, Yousun Ko, Su Jung Ham

Magnetic Resonance

Assessment of hepatic arterial hemodynamics with 4D flow MRI: in vitro analysis of motion and spatial resolution related error and in vivo feasibility study in 20 volunteers

Ivan P. Dimov, Cyril Tous, Ning Li, Maxime Barat, Tim Bomberna, Charlotte Debbaut, Ning Jin, Gerald Moran, An Tang, Gilles Soulez

Magnetic Resonance

Gray matter microstructural alterations in manganese-exposed welders: a preliminary neuroimaging study

Jiayu Wu, Qiaoying Zhang, Pengfeng Sun, Hong Zhang, Ming Gao, Mingyue Ma, Yan Dong, Peng Liu, Xiaoping Wu

Magnetic Resonance

MRI-based radiomics signature for identification of invisible basal cisterns changes in tuberculous meningitis: a preliminary multicenter study

Qiong Ma, Yinqiao Yi, Tiejun Liu, Xinnian Wen, Fei Shan, Feng Feng, Qinqin Yan, Jie Shen, Guang Yang, Yuxin Shi

Open Access Magnetic Resonance

MRI changes in diaphragmatic motion and curvature in Pompe disease over time

Laurike Harlaar, Pierluigi Ciet, Gijs van Tulder, Harmke A. van Kooten, Nadine A. M. E. van der Beek, Esther Brusse, Marleen de Bruijne, Harm A. W. M. Tiddens, Ans T. van der Ploeg, Pieter A. van Doorn

Imaging Informatics and Artificial Intelligence

Intestinal fibrosis classification in patients with Crohn’s disease using CT enterography–based deep learning: comparisons with radiomics and radiologists

Jixin Meng, Zixin Luo, Zhihui Chen, Jie Zhou, Zhao Chen, Baolan Lu, Mengchen Zhang, Yangdi Wang, Chenglang Yuan, Xiaodi Shen, Qinqin Huang, Zhuya Zhang, Ziyin Ye, Qinghua Cao, Zhiyang Zhou, Yikai Xu, Ren Mao, Minhu Chen, Canhui Sun, Ziping Li, Shi-Ting Feng, Xiaochun Meng, Bingsheng Huang, Xuehua Li

Open Access Imaging Informatics and Artificial Intelligence

Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time

Xueping Jing, Mirjam Wielema, Ludo J. Cornelissen, Margo van Gent, Willie M. Iwema, Sunyi Zheng, Paul E. Sijens, Matthijs Oudkerk, Monique D. Dorrius, Peter M.A. van Ooijen

Imaging Informatics and Artificial Intelligence

Importance of CT image normalization in radiomics analysis: prediction of 3-year recurrence-free survival in non-small cell lung cancer

Doohyun Park, Daejoong Oh, MyungHoon Lee, Shin Yup Lee, Kyung Min Shin, Johnson SG Jun, Dosik Hwang

Imaging Informatics and Artificial Intelligence

Development and validation of a computed tomography–based immune ecosystem diversity index as an imaging biomarker in non-small cell lung cancer

Lan He, Zhen-Hui Li, Li-Xu Yan, Xin Chen, Sebastian Sanduleanu, Wen-Zhao Zhong, Phillippe Lambin, Zhao-Xiang Ye, Ying-Shi Sun, Yu-Lin Liu, Jin-Rong Qu, Lin Wu, Chang-Ling Tu, Madeleine Scrivener, Thierry Pieters, Emmanuel Coche, Qian Yang, Mei Yang, Chang-Hong Liang, Yan-Qi Huang, Zai-Yi Liu

Imaging Informatics and Artificial Intelligence

The radiomic-clinical model using the SHAP method for assessing the treatment response of whole-brain radiotherapy: a multicentric study

Yixin Wang, Jinwei Lang, Joey Zhaoyu Zuo, Yaqin Dong, Zongtao Hu, Xiuli Xu, Yongkang Zhang, Qinjie Wang, Lizhuang Yang, Stephen T. C. Wong, Hongzhi Wang, Hai Li

Imaging Informatics and Artificial Intelligence

Temporal assessment of lesion morphology on radiological images beyond lesion volumes—a proof-of-principle study

Márton Kolossváry, David A. Bluemke, Elliot K. Fishman, Gary Gerstenblith, David Celentano, Raul N. Mandler, Jag Khalsa, Sandeepan Bhatia, Shaoguang Chen, Shenghan Lai, Hong Lai

Open Access Imaging Informatics and Artificial Intelligence

Diagnostic accuracy of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) in patients before liver transplantation using CT-FFR machine learning algorithm

Maximilian Schuessler, Fuat Saner, Fadi Al-Rashid, Thomas Schlosser

Open Access Imaging Informatics and Artificial Intelligence

Deep Learning–driven classification of external DICOM studies for PACS archiving

Frederic Jonske, Maximilian Dederichs, Moon-Sung Kim, Julius Keyl, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek

Open Access Correction

Correction to: The awareness of radiologists for the presence of lateral lymph nodes in patients with locally advanced rectal cancer: a single-centre, retrospective cohort study

T. C. Sluckin, Y. F. L. Rooker, S. Q. Kol, S. J. A. Hazen, J. B. Tuynman, J. Stoker, P. J. Tanis, K. Horsthuis, M. Kusters

Correction

Correction to: MRI characteristics of breast edema for assessing axillary lymph node burden in early-stage breast cancer: a retrospective bicentric study

Zeyan Xu, Yingying Ding, Ke Zhao, Chu Han, Zhenwei Shi, Yanfen Cui, Chunling Liu, Huan Lin, Xipeng Pan, Pinxiong Li, Minglei Chen, Huihui Wang, Xiaohui Deng, Changhong Liang, Yu Xie, Zaiyi 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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