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European Radiology

Ausgabe 11/2023

Inhalt (120 Artikel)

Commentary

No incision required for long-lasting symptom relief in a selection of women suffering from uterine fibroids

Derk J. Slotman, Ingrid M. Nijholt, Joke M. Schutte, Martijn F. Boomsma

Interventional

What predicts durable symptom relief of uterine fibroids treated with MRI-guided focused ultrasound? A multicenter trial in 8 academic centers

Rachel R. Bitton, Angela Fast, Kim-Nhien Vu, Deirdre A. Lum, Bertha Chen, Gina K. Hesley, Steven S. Raman, Alan H. Matsumoto, Thomas M. Price, Clare Tempany, Neha Dhawan, Eric Dolen, Maureen Kohi, Fiona M. Fennessey, Pejman Ghanouni

Interventional

Percutaneous radiofrequency ablation is an effective treatment option for small renal masses, comparable to partial nephrectomy

José Pablo Pedraza-Sánchez, Reyes Chaves-Marcos, Javier Mazuecos-Quirós, Álvaro Luis Bisonó-Castillo, Ignacio Osmán-García, Carlos Miguel Gutiérrez-Marín, Rafael Antonio Medina López, Álvaro Juárez Soto

Open Access Interventional

Transjugular intrahepatic portosystemic shunt creation (TIPS) in the angio-CT—a hybrid intervention with image fusion

Jonathan Nadjiri, Tobias Waggershauser, Marc Mühlmann, Ursula Ehmer, Fabian Geisler, Ulrich Mayr, Tobias Geith, Philipp M. Paprottka

Interventional

Computed tomography-guided percutaneous microwave ablation for renal cell carcinoma: evaluating the performance of nephrometry scores

Evgenia Efthymiou, Georgios Velonakis, Georgios Charalampopoulos, Argyro Mazioti, Elias Brountzos, Nikolaos Kelekis, Dimitrios Filippiadis

Interventional

Effectiveness and complication rates of percutaneous transhepatic fluoroscopy-guided management of common bile duct stones: a single-arm meta-analysis

Seung Bae Yoon, Tae Yeon Jeon, Sung-Hoon Moon, Dong Woo Shin, Ji Won Park, Sung Eun Kim, Min-Jeong Kim

Open Access Vascular-Interventional

A novel endovascular robotic-assisted system for endovascular aortic repair: first-in-human evaluation of practicability and safety

Chao Song, Shibo Xia, Lei Zhang, Kundong Wang, Haiyan Li, Wenying Guo, Longtu Zhu, Qingsheng Lu

Oncology

Quantitative parameters derived from dual-energy computed tomography for the preoperative prediction of early recurrence in patients with esophageal squamous cell carcinoma

Yan Liu, Fanrong Cheng, Lei Wang, Lihong Du, Hesong Shen, Xiaoxia Wang, Zhen Zeng, Daihong Liu, Junli Tao, Jiaxing Wu, Jiuquan Zhang

Oncology

The feasibility of contrast-enhanced CT to identify the adhesive renal venous tumor thrombus of renal cell carcinoma

Xiaoxiao Zhang, Jincai Zhang, Gumuyang Zhang, Lili Xu, Xin Bai, Jiahui Zhang, Li Chen, Qianyu Peng, Zhengyu Jin, Hao Sun

Oncology

Does high [18F]FDG uptake always mean poor prognosis? Colon cancer with high-level microsatellite instability is associated with high [18F]FDG uptake on PET/CT

Jongtae Cha, Honsoul Kim, Hye Jung Shin, Myeongjee Lee, Seowoong Jun, Won Jun Kang, Arthur Cho

Editorial Comment

Generalizability of prostate MRI deep learning: does one size fit all data?

Arnaldo Stanzione, Renato Cuocolo

Open Access Imaging Informatics and Artificial Intelligence

Application of a validated prostate MRI deep learning system to independent same-vendor multi-institutional data: demonstration of transferability

Nils Netzer, Carolin Eith, Oliver Bethge, Thomas Hielscher, Constantin Schwab, Albrecht Stenzinger, Regula Gnirs, Heinz-Peter Schlemmer, Klaus H. Maier-Hein, Lars Schimmöller, David Bonekamp

Commentary

Obsolescence of nomograms in radiomics research

Tugba Akinci D’Antonoli, Nathaniel David Mercaldo

Open Access Imaging Informatics and Artificial Intelligence

Predicting visual recovery in pituitary adenoma patients post-endoscopic endonasal transsphenoidal surgery: Harnessing delta-radiomics of the optic chiasm from MRI

Yang Zhang, Junkai Zheng, Zhouyang Huang, Yuen Teng, Chaoyue Chen, Jianguo Xu

Open Access Imaging Informatics and Artificial Intelligence

Investigating the impact of structured reporting on the linguistic standardization of radiology reports through natural language processing over a 10-year period

Jan Vosshenrich, Ivan Nesic, Daniel T. Boll, Tobias Heye

Imaging Informatics and Artificial Intelligence

Deep learning for detection and 3D segmentation of maxillofacial bone lesions in cone beam CT

Talia Yeshua, Shmuel Ladyzhensky, Amal Abu-Nasser, Ragda Abdalla-Aslan, Tami Boharon, Avital Itzhak-Pur, Asher Alexander, Akhilanand Chaurasia, Adir Cohen, Jacob Sosna, Isaac Leichter, Chen Nadler

Imaging Informatics and Artificial Intelligence

Deep learning enables automatic adult age estimation based on CT reconstruction images of the costal cartilage

Ting Lu, Ya-ru Diao, Xian-e Tang, Fei Fan, Zhao Peng, Meng-jun Zhan, Guang-feng Liu, Yu-shan Lin, Zi-qi Cheng, Xu Yi, Yu-jun Wang, Hu Chen, Zhen-hua Deng

Open Access Imaging Informatics and Artificial Intelligence

An automated surgical decision-making framework for partial or radical nephrectomy based on 3D-CT multi-level anatomical features in renal cell carcinoma

Huancheng Yang, Kai Wu, Hanlin Liu, Peng Wu, Yangguang Yuan, Lei Wang, Yaru Liu, Haoyang Zeng, Junkai Li, Weihao Liu, Song Wu

Imaging Informatics and Artificial Intelligence

Trends and statistics of artificial intelligence and radiomics research in Radiology, Nuclear Medicine, and Medical Imaging: bibliometric analysis

Burak Kocak, Bettina Baessler, Renato Cuocolo, Nathaniel Mercaldo, Daniel Pinto dos Santos

Editorial

Assessment of RadiomIcS rEsearch (ARISE): a brief guide for authors, reviewers, and readers from the Scientific Editorial Board of European Radiology

Burak Kocak, Leonid L. Chepelev, Linda C. Chu, Renato Cuocolo, Brendan S. Kelly, Philipp Seeböck, Yee Liang Thian, Robbert W. van Hamersvelt, Alan Wang, Stuart Williams, Jan Witowski, Zhongyi Zhang, Daniel Pinto dos Santos

Gastrointestinal

MRI-based multiregional radiomics for preoperative prediction of tumor deposit and prognosis in resectable rectal cancer: a bicenter study

Hang Li, Xiao-li Chen, Huan Liu, Yi-Sha Liu, Zhen-lin Li, Ming-hui Pang, Hong Pu

Open Access Gastrointestinal

Diffusion-weighted imaging complements T2-weighted MRI for tumour response assessment in squamous anal carcinoma

Davide Prezzi, Keerthini Muthuswamy, Ashik Amlani, Kasia Owczarczyk, Ahmed Elowaidy, Tina Mistry, Paul Bassett, Vicky Goh

Gastrointestinal

Deep learning–based reconstruction and 3D hybrid profile order technique for MRCP at 3T: evaluation of image quality and acquisition time

Kaori Shiraishi, Takeshi Nakaura, Hiroyuki Uetani, Yasunori Nagayama, Masafumi Kidoh, Naoki Kobayashi, Kosuke Morita, Yuichi Yamahita, Yasuhito Tanaka, Hideo Baba, Toshinori Hirai

Gastrointestinal

Clinical outcome is distinct between radiological stricture and endoscopic stricture in ileal Crohn’s disease

Li Shi, Yang-di Wang, Xiao-di Shen, Ren Mao, Ji-xin Meng, Si-yun Huang, Ting Song, Zi-ping Li, Shi-ting Feng, Shao-chun Lin, Zhen-peng Peng, Xue-hua Li

Gastrointestinal

Prediction of Ki-67 expression in gastrointestinal stromal tumors using radiomics of plain and multiphase contrast-enhanced CT

Yun Liu, ChangYin He, Weidong Fang, Li Peng, Feng Shi, Yuwei Xia, Qing Zhou, Ronggui Zhang, Chuanming Li

Gastrointestinal

Performances and variability of CT radiomics for the prediction of microvascular invasion and survival in patients with HCC: a matter of chance or standardisation?

Roberto Cannella, Joao Santinha, Aurélie Bèaufrere, Maxime Ronot, Riccardo Sartoris, Francois Cauchy, Mohamed Bouattour, Celso Matos, Nickolas Papanikolaou, Valérie Vilgrain, Marco Dioguardi Burgio

Open Access Hepatobiliary-Pancreas

Development and validation of the OSASH score to predict overall survival of hepatocellular carcinoma after surgical resection: a dual-institutional study

Hong Wei, Fangfang Fu, Hanyu Jiang, Yuanan Wu, Yun Qin, Huanhuan Wei, Ting Yang, Meiyun Wang, Bin Song

Hepatobiliary-Pancreas

Use of individualized 3D-printed models of pancreatic cancer to improve surgeons’ anatomic understanding and surgical planning

Chorog Song, Ji Hye Min, Woo Kyoung Jeong, Seong Hyun Kim, Jin Seok Heo, In Woong Han, Sang Hyun Shin, So Jeong Yoon, Seo-Youn Choi, Seungju Moon

Hepatobiliary-Pancreas

Predicting symptomatic post-hepatectomy liver failure in patients with hepatocellular carcinoma: development and validation of a preoperative nomogram

Haiyi Long, Chuan Peng, Hong Ding, Yun Zheng, Jianhua Zhou, Wei Chen, Xian Zhong, Yifan Shi, Yu Duan, Xiaohua Xie, Ming Kuang, Xiaoyan Xie, Manxia Lin

Magnetic Resonance

Amyotrophic lateral sclerosis with upper motor neuron predominance: diagnostic accuracy of qualitative and quantitative susceptibility metrics in the precentral gyrus

Francesco Lo Russo , Valeria Elisa Contarino, Giorgio Conte, Claudia Morelli, Francesca Trogu, Silvia Casale, Sara Sbaraini, Luca Caschera, Valentina Genovese, Chunlei Liu, Claudia Maria Cinnante, Vincenzo Silani, Fabio Maria Triulzi

Open Access Magnetic Resonance

AI-assisted compressed sensing and parallel imaging sequences for MRI of patients with nasopharyngeal carcinoma: comparison of their capabilities in terms of examination time and image quality

Haibin Liu, Dele Deng, Weilong Zeng, Yingyi Huang, Chunling Zheng, Xinyang Li, Hui Li, Chuanmiao Xie, Haoqiang He, Guixiao Xu

Magnetic Resonance

Utility of accelerated T2-weighted turbo spin-echo imaging with deep learning reconstruction in female pelvic MRI: a multi-reader study

Eun Ji Lee, Jiyoung Hwang, Suyeon Park, Sung Hwan Bae, Jiyun Lim, Yun-Woo Chang, Seong Sook Hong, Eunsun Oh, Bo Da Nam, Jewon Jeong, Jae Kon Sung, Dominik Nickel

Open Access Magnetic Resonance

The role of MRI in the prenatal diagnosis and classification of fetal microtia

Xiaodan Zhang, Weizeng Zheng, Yan Feng, Na Yu, Jiale Qin, Kui Li, Guohui Yan, Yu Zou, Baohua Li

Magnetic Resonance

Ventricular-atrial coupling in subjects with normal, preserved, and reduced left ventricular ejection fraction: insights from cardiac magnetic resonance imaging

Di Zhou, Yining Wang, Shuang Li, Weichun Wu, Xiaoxin Sun, Baiyan Zhuang, Jian He, Jing Xu, Wenjing Yang, Leyi Zhu, Arlene Sirajuddin, Zhongzhao Teng, Shihua Zhao, Minjie Lu

Open Access Magnetic Resonance

Correlation of histologic, imaging, and artificial intelligence features in NAFLD patients, derived from Gd-EOB-DTPA-enhanced MRI: a proof-of-concept study

Nina Bastati, Matthias Perkonigg, Daniel Sobotka, Sarah Poetter-Lang, Romana Fragner, Andrea Beer, Alina Messner, Martin Watzenboeck, Svitlana Pochepnia, Jakob Kittinger, Alexander Herold, Antonia Kristic, Jacqueline C. Hodge, Stefan Traussnig, Michael Trauner, Ahmed Ba-Ssalamah, Georg Langs

Magnetic Resonance

Early assessment of acute kidney injury in severe acute pancreatitis with multimodal DWI: an animal model

Xinghui Li, Zenghui Li, Lu Liu, Yu Pu, Yifan Ji, Wei Tang, Tianwu Chen, Qi Liang, Xiaoming Zhang

Open Access Computed Tomography

Chest CT opportunistic biomarkers for phenotyping high-risk COVID-19 patients: a retrospective multicentre study

Anna Palmisano, Chiara Gnasso, Alberto Cereda, Davide Vignale, Riccardo Leone, Valeria Nicoletti, Simone Barbieri, Marco Toselli, Francesco Giannini, Marco Loffi, Gianluigi Patelli, Alberto Monello, Gianmarco Iannopollo, Davide Ippolito, Elisabetta Maria Mancini, Gianluca Pontone, Luigi Vignali, Elisa Scarnecchia, Mario Iannaccone, Lucio Baffoni, Massimiliano Spernadio, Caterina Chiara de Carlini, Sandro Sironi, Claudio Rapezzi, Antonio Esposito

Open Access Computed Tomography

Valid and reliable diagnostic performance of dual-energy CT in anterior cruciate ligament rupture

Di Liu, Ping Hu, Zi-Jun Cai, Wen-Hao Lu, Lin-Yuan Pan, Xu Liu, Xian-Jing Peng, Yu-Sheng Li, Wen-Feng Xiao

Computed Tomography

Inappropriate CT examinations: how much, who and where? Insights from a clinical decision support system (CDSS) analysis

Shani Rosen, Clara Singer, Sharona Vaknin, Arielle Kaim, Osnat Luxenburg, Arnon Makori, Natalia Goldberg, Moran Rad, Shani Gitman, Mor Saban

Open Access Computed Tomography

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

Open Access Computed Tomography

Combining virtual monoenergetic imaging and iterative metal artifact reduction in first-generation photon-counting computed tomography of patients with dental implants

Theresa Sophie Patzer, Andreas Steven Kunz, Henner Huflage, Philipp Gruschwitz, Pauline Pannenbecker, Saif Afat, Judith Herrmann, Bernhard Petritsch, Thorsten Alexander Bley, Jan-Peter Grunz

Open Access Computed Tomography

Photon-counting CT for diagnosis of acute pulmonary embolism: potential for contrast medium and radiation dose reduction

Pauline Pannenbecker, Henner Huflage, Jan-Peter Grunz, Philipp Gruschwitz, Theresa S. Patzer, Andreas M. Weng, Julius F. Heidenreich, Thorsten A. Bley, Bernhard Petritsch

Open Access Computed Tomography

Influence of device-assisted suction against resistance (Mueller maneuver) on image quality in CTPA for suspected lung embolism

Niklas von Münchhausen, Sonja Janssen, Daniel Overhoff, Johann S. Rink, Bram Geurts, Andreas Gutzeit, Mathias Prokop, Stefan O. Schoenberg, Matthias F. Froelich

Ultrasound

Markedly hypoechoic: a new definition improves the diagnostic performance of thyroid ultrasound

Juan Liu, Ting Luo, Hua Zhang, Hui Liu, Ying Gu, Xia Chen, LiYing Shi, Ling Guan, XueJun Ni, XinDan Zhang, RuiFang Zhang, XiaoHong Jia, YiJie Dong, JingWen Zhang, WenWen Xu, JianQiao Zhou

Open Access Commentary

68Ga- or 18F-FAPI PET/CT—what it can and cannot

Yuriko Mori, Uwe Haberkorn, Frederik L. Giesel

Nuclear Medicine

Quality and consistency of clinical practice guideline recommendations for PET/CT and PET: a systematic appraisal

Qianrui Li, Wenxiu Hou, Mei Wu, Ling Li, Minggang Su, Bin Ma, Futao Cui, Yan Ren, Jiayue Xu, Kang Zou, Rong Tian, Xin Sun

Nuclear Medicine

Head-to-head intra-individual comparison of total-body 2-[18F]FDG PET/CT and digital PET/CT in patients with malignant tumor: how sensitive could it be?

Xueqi Chen, Pengcheng Hu, Haojun Yu, Hui Tan, Yibo He, Shuangliang Cao, Yun Zhou, Hongcheng Shi

Head and Neck

Multiregional radiomics of brain metastasis can predict response to EGFR-TKI in metastatic NSCLC

Ying Fan, Xinti Wang, Yue Dong, Enuo Cui, Huan Wang, Xinyan Sun, Juan Su, Yahong Luo, Tao Yu, Xiran Jiang

Head and Neck

Orbital magnetic resonance imaging of giant cell arteritis with ocular manifestations: a systematic review and individual participant data meta-analysis

Konstanze V. Guggenberger, Athanasios Pavlou, Quy Cao, Ishaan J. Bhatt, Qi N. Cui, Thorsten A. Bley, Hugh D. Curtin, Julien Savatovsky, Jae W. Song

Head and Neck

Intracranial aneurysms treated with stent-assisted coil embolization: evaluation with four-dimensional ultrashort-TE MR angiography

Hiroyuki Uetani, Mika Kitajima, Yuki Ohmori, Kosuke Morita, Yuichi Yamashita, Yasuyuki Kaku, Takeshi Nakaura, Akira Sasao, Goh Sasaki, Soichiro Ishiuchi, Akitake Mukasa, Toshinori Hirai

Head and Neck

Differentiation of geniculate ganglion venous malformation from schwannoma: dynamic T1-weighted imaging provides unique diagnostic value

Mengda Jiang, Yongchuan Chai, Lu Xue, Yaoxuan Wang, Wenwen Xia, Yang Song, Gongxin Yang, Ying Yuan, Xiaofeng Tao, Yingwei Wu, Hao Wu, Zhaoyan Wang

Head and Neck

Safety and efficacy of microwave ablation for the treatment of low-risk papillary thyroid microcarcinoma: a prospective multicenter study

Zhi-yu Han, Jian-pin Dou, Lin Zheng, Ying Che, Ming-an Yu, Shu-rong Wang, Hui Wang, Zhi-bin Cong, Jun-feng He, Tong-gang Qian, Qiao-hong Hu, Guang-zhi He, Geng Liu, Song-yuan Yu, Jian-qin Guo, Tian-an Jiang, Rui-fa Feng, Qin-ying Li, Xiao-jun Chen, Ya-lin Zhu, Ying Wei, Li-hong Liu, Xue Wang, Li-na Qi, Ping Liang

Head and Neck

Head and neck MRI-based T stage and [18F]FDG PET/CT-based N/M stage improved prognostic stratification in primary nasopharyngeal carcinoma

Hao-Jun Xie, Xue-Song Sun, Xu Zhang, Bei-Bei Xiao, Da-Feng Lin, Xiao-Ping Lin, Xiao-Fei Lv, Li-Zhi Liu, Feng Han, Ru-Hai Zou, Ji-Bin Li, Wei Fan, Qiu-Yan Chen, Hai-Qiang Mai, Lin-Quan Tang

Neuro

Aberrant spontaneous brain activity in patients with thyroid-associated ophthalmopathy with and without optic neuropathy: a resting-state functional MRI study

Ping Liu, Ban Luo, Ying Feng, Lang Chen, Ya-li Zhao, Qiu-xia Wang, Si-pei Liang, Hong-yu Wu, Gang Yuan, Gui-hua Jiang, Jing Zhang

Neuro

Development and validation of an automatic classification algorithm for the diagnosis of Alzheimer’s disease using a high-performance interpretable deep learning network

Ho Young Park, Woo Hyun Shim, Chong Hyun Suh, Hwon Heo, Hyun Woo Oh, Jinyoung Kim, Jinkyeong Sung, Jae-Sung Lim, Jae-Hong Lee, Ho Sung Kim, Sang Joon Kim

Open Access Neuro

Arterial spin labelling MRI for brain tumour surveillance: do we really need cerebral blood flow maps?

Wouter H. T. Teunissen, Anna Lavrova, Martin van den Bent, Anouk van der Hoorn, Esther A. H. Warnert, Marion Smits

Neuro

Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reports

Minjae Kim, Kai Tzu-iunn Ong, Seonah Choi, Jinyoung Yeo, Sooyon Kim, Kyunghwa Han, Ji Eun Park, Ho Sung Kim, Yoon Seong Choi, Sung Soo Ahn, Jinna Kim, Seung-Koo Lee, Beomseok Sohn

Open Access Neuro

Comparison of neuroimaging features of histiocytic neoplasms with central nervous system involvement: a retrospective study of 121 adult patients

Xiaoyuan Fan, Ting Liu, Zhiwen Zhang, Jian Sun, Na Niu, Chenhui Mao, Fengdan Wang, Jian Li, Daobin Zhou, Xinxin Cao, Zhengyu Jin, Feng Feng

Neuro

Presumed periventricular venous infarction on magnetic resonance imaging and its association with increased white matter edema in CADASIL

Xinfeng Yu, Xinzhen Yin, Hui Hong, Shuyue Wang, Yeerfan Jiaerken, Duo Xu, Fan Zhang, Ruiting Zhang, Linglin Yang, Baorong Zhang, Minming Zhang, Peiyu Huang

Open Access Neuro

Diffusion MRI of the facial-vestibulocochlear nerve complex: a prospective clinical validation study

Jonathan Shapey, Sjoerd B. Vos, Laura Mancini, Brett Sanders, John S. Thornton, Jacques-Donald Tournier, Shakeel R. Saeed, Neil Kitchen, Sherif Khalil, Patrick Grover, Robert Bradford, Reuben Dorent, Rachel Sparks, Tom Vercauteren, Tarek Yousry, Sotirios Bisdas, Sebastien Ourselin

Open Access Breast

Breast density and the likelihood of malignant MRI-detected lesions in women diagnosed with breast cancer

Antti Sassi, Annukka Salminen, Arja Jukkola, Maija Tervo, Niina Mäenpää, Saara Turtiainen, Leena Tiainen, Timo Liimatainen, Teemu Tolonen, Heini Huhtala, Irina Rinta-Kiikka, Otso Arponen

Open Access Breast

False-positive recalls in the prospective Malmö Breast Tomosynthesis Screening Trial

Kristin Johnson, Jakob Olinder, Aldana Rosso, Ingvar Andersson, Kristina Lång, Sophia Zackrisson

Open Access Special Report

A survey by the European Society of Breast Imaging on radiologists’ preferences regarding quality assurance measures of image interpretation in screening and diagnostic mammography

Eleni Michalopoulou, Paola Clauser, Fiona J. Gilbert, Ruud M. Pijnappel, Ritse M. Mann, Pascal A.T. Baltzer, Yan Chen, Eva Maria Fallenberg

Breast

Deep learning for detection of iso-dense, obscure masses in mammographically dense breasts

Krithika Rangarajan, Pranjal Aggarwal, Dhruv Kumar Gupta, Rohan Dhanakshirur, Akhil Baby, Chandan Pal, Arun Kumar Gupta, Smriti Hari, Subhashis Banerjee, Chetan Arora

Breast

Ultrafast DCE-MRI for discriminating pregnancy-associated breast cancer lesions from lactation related background parenchymal enhancement

Noam Nissan, Debbie Anaby, Gazal Mahameed, Ethan Bauer, Efi Efraim Moss Massasa, Tehillah Menes, Ravit Agassi, Asia Brodsky, Robert Grimm, Marcel Dominik Nickel, Elisa Roccia, Miri Sklair-Levy

Breast

A multiparametric approach to predict triple-negative breast cancer including parameters derived from ultrafast dynamic contrast-enhanced MRI

Akane Ohashi, Masako Kataoka, Mami Iima, Maya Honda, Rie Ota, Yuta Urushibata, Marcel Dominik Nickel, Masakazu Toi, Sophia Zackrisson, Yuji Nakamoto

Breast

Exploring the added value of pretherapeutic MR descriptors in predicting breast cancer pathologic complete response to neoadjuvant chemotherapy

Caroline Malhaire, Fatine Selhane, Marie-Judith Saint-Martin, Vincent Cockenpot, Pia Akl, Enora Laas, Audrey Bellesoeur, Catherine Ala Eddine, Melodie Bereby-Kahane, Julie Manceau, Delphine Sebbag-Sfez, Jean-Yves Pierga, Fabien Reyal, Anne Vincent-Salomon, Herve Brisse, Frederique Frouin

Commentary

O-RADS MRI: where are we and where we are going?

Isabelle Thomassin-Naggara, Leo Razakamanantsoa, Andrea Rockall

Urogenital

Incidence and changes in endometrial–leiomyoma fistula following uterine artery embolization: a single-center retrospective analysis

Yasuteru Sasakura, Tetsuya Katsumori, Kaori Nishizawa, Tomoaki Nishimura, Tatsuya Yoshikawa, Akiko Takahata, Kei Yamada

Cardiac

Multiparametric cardiac magnetic resonance reveals persistent myocardial inflammation in patients with exertional heat illness

Song Luo, Shu Tian Xu, Jun Zhang, U. Joseph Schoepf, Akos Varga-Szemes, Charles R. T. Carpenter, Ling Yan Zhang, Yan Ma, Zhe Li, Yang Wang, Wei Wei Huang, Bei Bei Zhi, Wei Qiang Dou, Li Qi, Long Jiang Zhang

Commentary

How to set up a 24/7 cardiac computed tomography service in an emergency department

Christian Loewe, Dietrich Beitzke, Marco Francone

Cardiac

Feasibility of accelerated non-contrast-enhanced whole-heart bSSFP coronary MR angiography by deep learning–constrained compressed sensing

Xi Wu, Lu Tang, Wanjiang Li, Shuai He, Xun Yue, Pengfei Peng, Tao Wu, Xiaoyong Zhang, Zhigang Wu, Yong He, Yucheng Chen, Juan Huang, Jiayu Sun

Cardiac

Financial and clinical outcomes of CT myocardial perfusion imaging and coronary CT angiography-guided versus coronary CT angiography-guided strategy

Xu Dai, Ziting Lan, Runjianya Ling, Yarong Yu, Lihua Yu, Zhigang Lu, Chengxing Shen, Kakuya Kitagawa, Yuehua Li, Wenyi Yang, Jiayin Zhang

Cardiac

Deep learning-based prognostic model using non-enhanced cardiac cine MRI for outcome prediction in patients with heart failure

Yifeng Gao, Zhen Zhou, Bing Zhang, Saidi Guo, Kairui Bo, Shuang Li, Nan Zhang, Hui Wang, Guang Yang, Heye Zhang, Tong Liu, Lei Xu

Cardiac

The prognostic value of myocardial salvage index by cardiac magnetic resonance in ST-segment elevation myocardial infarction patients: a systematic review and meta-analysis

Zhengguang Xiao, Jingyu Zhong, Lingna Zhong, Shun Dai, Wenjie Lu, Lei Song, Huan Zhang, Jun Yang, Weiwu Yao

Open Access Chest

Automated airway quantification associates with mortality in idiopathic pulmonary fibrosis

Wing Keung Cheung, Ashkan Pakzad, Nesrin Mogulkoc, Sarah Needleman, Bojidar Rangelov, Eyjolfur Gudmundsson, An Zhao, Mariam Abbas, Davina McLaverty, Dimitrios Asimakopoulos, Robert Chapman, Recep Savas, Sam M. Janes, Yipeng Hu, Daniel C. Alexander, John R. Hurst, Joseph Jacob

Chest

Learning from the machine: AI assistance is not an effective learning tool for resident education in chest x-ray interpretation

Guillaume Chassagnon, Nicolas Billet, Caroline Rutten, Thibault Toussaint, Quentin Cassius de Linval, Mégane Collin, Leila Lemouchi, Margaux Homps, Mohamed Hedjoudje, Jeanne Ventre, Jules Gregory, Emma Canniff, Nor-Eddine Regnard, Souhail Bennani, Marie-Pierre Revel

Open Access Chest

Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography

Michael H. Bernstein, Michael K. Atalay, Elizabeth H. Dibble, Aaron W. P. Maxwell, Adib R. Karam, Saurabh Agarwal, Robert C. Ward, Terrance T. Healey, Grayson L. Baird

Chest

Prone position PET/CT is useful in reducing gravity-dependent opacity-related [18F]fluorodeoxyglucose uptake

Yun Hye Song, Jung Won Moon, Yoo Na Kim, Ji Young Woo, Hye Joo Son, Suk Hyun Lee

Open Access Chest

Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals

Ward Hendrix, Matthieu Rutten, Nils Hendrix, Bram van Ginneken, Cornelia Schaefer-Prokop, Ernst T. Scholten, Mathias Prokop, Colin Jacobs

Musculoskeletal

Diagnostic performance comparison of conventional radiography to magnetic resonance imaging for suspected osteomyelitis of the extremities: a multi-reader study

Prajwal Gowda, Oganes Ashikyan, Parham Pezeshk, Mina Guirguis, Holden Archer, Diana Hoang, Yin Xi, Avneesh Chhabra

Musculoskeletal

Neural network algorithm for detection of erosions and ankylosis on CT of the sacroiliac joints: multicentre development and validation of diagnostic accuracy

Thomas Van Den Berghe, Danilo Babin, Min Chen, Martijn Callens, Denim Brack, Helena Maes, Jan Lievens, Marie Lammens, Maxime Van Sumere, Lieve Morbée, Simon Hautekeete, Stijn Schatteman, Tom Jacobs, Willem-Jan Thooft, Nele Herregods, Wouter Huysse, Jacob L. Jaremko, Robert Lambert, Walter Maksymowych, Frederiek Laloo, Xenofon Baraliakos, Ann-Sophie De Craemer, Philippe Carron, Filip Van den Bosch, Dirk Elewaut, Lennart Jans

Musculoskeletal

MRI texture analysis of acetabular cancellous bone can discriminate between normal, cam positive, and cam-FAI hips

Taryn Hodgdon, Rebecca E. Thornhill, Nick D. James, Gerd Melkus, Paul E. Beaulé, Kawan S. Rakhra

Open Access Musculoskeletal

3-D joint space mapping at the ankle from weight-bearing CT: reproducibility, repeatability, and challenges for standardisation

Tom D. Turmezei, Karan Malhotra, James W. MacKay, Andrew H. Gee, Graham M. Treece, Kenneth E. S. Poole, Matthew J. Welck

Open Access Musculoskeletal

Osteoid osteomas of the hip: a well-recognized entity with a proclivity for misdiagnosis

Doris E. Wenger, Meagan E. Tibbo, Matthew L. Hadley, Rafael J. Sierra, Timothy J. Welch

Open Access Paediatric

[18F]FDG PET/MRI in children suffering from lymphoma: does MRI contrast media make a difference?

Kai Jannusch, Janna Morawitz, Bernd Schweiger, Daniel Weiss, Lars Schimmöller, Peter Minko, Ken Herrmann, Wolfgang P. Fendler, Harald H. Quick, Gerald Antoch, Lale Umutlu, Julian Kirchner, Nils-Martin Bruckmann

Open Access Experimental

Using deep learning–derived image features in radiologic time series to make personalised predictions: proof of concept in colonic transit data

Brendan S. Kelly, Prateek Mathur, Jan Plesniar, Aonghus Lawlor, Ronan P. Killeen

Forensic Medicine

Post-mortem CT radiomics for the prediction of time since death

Michail E. Klontzas, Dimitrios Leventis, Konstantinos Spanakis, Apostolos H. Karantanas, Elena F. Kranioti

Correction

Correction: Deep learning for detection of iso-dense, obscure masses in mammographically dense breasts

Krithika Rangarajan, Pranjal Aggarwal, Dhruv Kumar Gupta, Rohan Dhanakshirur, Akhil Baby, Chandan Pal, Arun Kumar Gupta, Smriti Hari, Subhashis Banerjee, Chetan Arora

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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