Article
Orthopedics
Shiming Wang, Zhibo Xiao, Yunfeng Lu, Zhiwei Zhang, Fajin Lv
Summary: Optimizing the lateral position of the knee joint for radiography with the aid of CT images and the maximum intensity projection technique can significantly improve the quality of X-ray images taken in the lateral position.
JOURNAL OF ORTHOPAEDIC SURGERY AND RESEARCH
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Li-Ming Wei, Yue-Qi Zhu, Hai-Tao Lu, Jun-Gong Zhao
Summary: This study demonstrates that TS-MIP-based CS is superior to conventional CTA-based CS in evaluating clinical outcomes, with higher sensitivity and AUC. Additionally, TS-MIP may be a useful predictor of good clinical outcomes in patients with large-vessel-occlusion stroke.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sohee Park, Sang Min Lee, Wooil Kim, Hyunho Park, Kyu-Hwan Jung, Kyung-Hyun Do, Joon Beom Seo
Summary: This study evaluated the impact of different CT section thicknesses on CAD performance in the detection of subsolid nodules. It was found that 1-mm section thickness CT achieved better detection results, especially for nonsolid nodules. Additionally, the use of a super-resolution algorithm improved CAD sensitivity at 3- and 5-mm section thickness CT.
Article
Radiology, Nuclear Medicine & Medical Imaging
Alan A. Peters, Justin B. Solomon, Oyunbileg von Stackelberg, Ehsan Samei, Njood Alsaihati, Waldo Valenzuela, Manuel Debic, Christian Heidt, Adrian T. Huber, Andreas Christe, Johannes T. Heverhagen, Hans-Ulrich Kauczor, Claus P. Heussel, Lukas Ebner, Mark O. Wielpuetz
Summary: This study aimed to determine the influence of dose reduction on a commercially available lung cancer prediction convolutional neuronal network (LCP-CNN). The results showed that CT dose reduction may affect the classification of pulmonary malignancies and potentially alter pulmonary nodule management.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Peijie Lyu, Zhen Li, Yan Chen, Huixia Wang, Nana Liu, Jie Liu, Pengchao Zhan, Xing Liu, Bo Shang, Luotong Wang, Jianbo Gao
Summary: This study aims to assess the image quality and liver metastasis detection ability of reduced-dose dual-energy CT (DECT) with deep learning image reconstruction (DLIR) compared to standard-dose single-energy CT (SECT) with DLIR or iterative reconstruction (IR). The results show that 40-50 keV virtual monochromatic images (VMIs) with DLIR exhibit similar noise texture and low-contrast resolution, improved signal-to-noise ratios (SNR) and lesion conspicuity, and similar or better perceptual image quality compared to 120-kVp images with DLIR or IR. Reduced-dose DECT by 34% maintains observer lesion detection rates for hepatic metastases.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Gerald Gheysens, Walter De Wever, Lesley Cockmartin, Hilde Bosmans, Walter Coudyzer, Sofie De Vuysere, Mathieu Lefere
Summary: The study demonstrates that scoutless ultra-low-dose CT is reliable for detecting solid lung nodules, particularly those with larger volumes. However, detection rates decrease significantly for nodules with smaller volumes when compared to standard-dose CT. Patient body mass index and chest circumference do not influence nodule detectability.
EUROPEAN RADIOLOGY
(2022)
Article
Biology
Yanan Wu, Qianqian Qi, Shouliang Qi, Liming Yang, Hanlin Wang, Hui Yu, Jianpeng Li, Gang Wang, Ping Zhang, Zhenyu Liang, Rongchang Chen
Summary: The study proposes a method for accurately distinguishing COVID-19 from CAP using MIP images from CT scans and a capsule network. The method achieves high accuracy and sensitivity in COVID-19 diagnosis and prediction.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Caroline Zellweger, Nicole Berger, Jann Wieler, Dania Cioni, Emanuele Neri, Andreas Boss, Thomas Frauenfelder, Magda Marcon
Summary: This study evaluated the diagnostic performance of maximum intensity projection (MIP) reformations of breast computed tomography (B-CT) images as an independent method for detecting and characterizing breast imaging findings. The results showed that evaluating B-CT images using MIP reformations can provide high diagnostic performance and confidence in a shorter reading time.
INVESTIGATIVE RADIOLOGY
(2022)
Article
Optics
Qiongjie Hu, Shaofang Wang, Chong Chen, Shichao Kang, Ziyan Sun, Yujin Wang, Min Xiang, Hanxiong Guan, Yiwen Liu, Liming Xia
Summary: This study prospectively evaluated the efficiency of a computer-aided detection (CAD) system's second-reader (SR) and concurrent-reader (CR) modes in detecting pulmonary nodules on low-dose computerized tomography (LDCT). The results showed that the SR mode improved pulmonary nodule detection, especially for interns in the low-dose setting. The CR mode maintained sensitivity while significantly decreasing reading times.
JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES
(2022)
Article
Clinical Neurology
Yuya Kobayashi, Teruya Morizumi, Gaku Okumura, Kiyoshiro Nagamatsu, Yusaku Shimizu, Tetsuo Sasaki, Atsushi Sato, Yoshiki Sekijima, Kazuhiro Hongo
Summary: This study analyzed the feasibility of using IR and MIP for CT evaluation of thrombus in large vessel occlusion. The results showed that the IR+MIP group had lower noise and higher contrast-to-noise ratio, leading to more favorable image evaluations. Thrombus assessment showed better performance in terms of thrombus edge identification and visual assessment in the IR+MIP group.
Article
Engineering, Electrical & Electronic
Xiaoyu Zhang, Thien Van Luong, Periklis Petropoulos, Lajos Hanzo
Summary: This research proposes end-to-end learning systems using the autoencoder architecture in deep learning for orthogonal frequency division multiplexing (OFDM)-aided optical intensity modulation paired with direct detection (IM/DD) communications. The proposed schemes achieve better performance compared to conventional methods in terms of bit error rate (BER) and peak-to-average power ratio (PAPR).
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lisa Jungblut, Christian Bluthgen, Malgorzata Polacin, Michael Messerli, Bernhard Schmidt, Andre Euler, Hatem Alkadhi, Thomas Frauenfelder, Katharina Martini
Summary: This study aimed to evaluate the image quality and performance of an AI-based CAD system in photon-counting detector CT for pulmonary nodule evaluation. The results showed that photon-counting detector CT had superior subjective image quality compared to conventional energy-integrating detector CT, while the objective image noise was similar or superior. The AI-CAD system provided comparable results for nodule detection and volumetry between photon-counting detector CT and dose-matched EID-CT.
INVESTIGATIVE RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Gil-Sun Hong, Kyung-Hyun Do, A-Yeon Son, Kyung-Wook Jo, Kwang Pyo Kim, Jihye Yun, Choong Wook Lee
Summary: This study compared image quality and radiation dose between dual-energy subtraction and software-based bone suppression techniques in chest radiography. The results showed that software-based bone suppression images had higher SSIM values in bone areas and lower radiation dose in soft tissue areas, with both readers rating the visual quality of software-based images higher.
EUROPEAN RADIOLOGY
(2021)
Article
Multidisciplinary Sciences
Xi Zhu, Jing Ye, Zhongzhu Zhou, Ruixue Lee, Bowen Shi, Zhijun Wang, Jiquan Sun, Wennuo Huang, Wei Xia
Summary: This study investigates the effect of different reconstruction techniques on CAD pulmonary nodules in low-dose CT. After collecting data from 380 patients, the results show that filtered back projection, quantum noise reduction, 3D adaptive iteration, and cloud iterative techniques improve the image quality and the sensitivity of nodules. However, there are differences in the sensitivity of nodules under different reconstruction techniques.
JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCES
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Daming Zhang, Xueyan Zhou, Haiping Zhang, Xiaobing Fan, Zehong Lin, Huadan Xue, Yining Wang, Zhengyu Jin, Yuexin Chen
Summary: The study demonstrates the potential clinical applicability of t-MIP in assisting with the diagnosis of lower leg vascular stenosis in dyn-CTA, with reliable diagnostic accuracy and convenient immediacy.
BMC MEDICAL IMAGING
(2021)
Article
Cardiac & Cardiovascular Systems
Taishi Okuno, Jonas Lanz, Stefan Stortecky, Dik Heg, Benedikt Bernhard, Christoph Graeni, Adrian Huber, Fabien Praz, Lorenz Raeber, Marco Valgimigli, George C. M. Siontis, Stephan Windecker, Thomas Pilgrim
Summary: This study investigated the incidence of left atrial appendage (LAA) filling defects in aortic stenosis patients undergoing transcatheter aortic valve implantation (TAVI) and its impact on clinical outcomes. The results showed that LAA filling defects were associated with an increased risk of cardiovascular death and disabling stroke.
EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Markus M. Obmann, Gopal Punjabi, Verena C. Obmann, Daniel T. Boll, Tobias Heye, Matthias R. Benz, Benjamin M. Yeh
Summary: Dual-energy CT is a valuable tool for diagnosing acute bowel ischemia by improving visualization of the bowel wall and mesenteric vasculature, revealing intramural hemorrhage in contrast enhanced scans, and potentially reducing intravenous contrast dose.
ABDOMINAL RADIOLOGY
(2022)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Adrian T. Huber, Verena Obmann
AMERICAN JOURNAL OF ROENTGENOLOGY
(2022)
Article
Cardiac & Cardiovascular Systems
Roberto Galea, Federico De Marco, Nicolas Meneveau, Adel Aminian, Frederic Anselme, Christoph Grani, Adrian T. Huber, Emmanuel Teiger, Xavier Iriart, Flora Babongo Bosombo, Dik Heg, Anna Franzone, Pascal Vranckx, Urs Fischer, Giovanni Pedrazzini, Francesco Bedogni, Lorenz Raber, Marco Valgimigli
Summary: In percutaneous left atrial appendage (LAA) closure, there is no significant difference in residual LAA patency and clinical outcomes between Amulet and Watchman FLX. The latter has a higher leakage rate at transesophageal echocardiography, but the Amulet group has more procedural complications. The clinical significance of LAA patency detected by CCTA requires further investigation.
Article
Radiology, Nuclear Medicine & Medical Imaging
Alan A. Peters, Adrian T. Huber, Verena C. Obmann, Johannes T. Heverhagen, Andreas Christe, Lukas Ebner
Summary: This study evaluated the effect of dose reduction on the performance of a deep learning-based computer-aided diagnosis system for pulmonary nodule detection in a virtual screening scenario. The results showed that tube voltage and current had a significant impact on the detection rate, while nodule size and density did not have a significant influence.
EUROPEAN RADIOLOGY
(2022)
Editorial Material
Cardiac & Cardiovascular Systems
Martina Boscolo Berto, Giancarlo Spano, Daniel Rhyner, Adrian T. Huber, Christoph Grani
JOURNAL OF NUCLEAR CARDIOLOGY
(2023)
Article
Cardiac & Cardiovascular Systems
Benedikt Bernhard, Hanna Grogg, Jan Zurkirchen, Caglayan Demirel, Daniel Hagemeyer, Taishi Okuno, Nicolas Brugger, Stefano De Marchi, Adrian T. Huber, Martina Boscolo Berto, Giancarlo Spano, Stefan Stortecky, Stephan Windecker, Thomas Pilgrim, Christoph Grani
Summary: This retrospective study analyzed the reproducibility of strain measurements by 4D cardiac computed tomography angiography (CCT) and speckle tracking echocardiography (STE). The results showed that CCT had good reproducibility in assessing strain in the left ventricle (LV), right ventricle (RV), and left atrium (LA), while STE had good reproducibility only in LV global longitudinal strain (GLS) and LA GLS. The agreement between CCT and STE was strong for LV GLS but moderate to weak for other strain features.
JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY
(2022)
Article
Cardiac & Cardiovascular Systems
Roberto Galea, Khalil Mahmoudi, Christoph Grani, Simon Elhadad, Adrian T. Huber, Dik Heg, George C. M. Siontis, Nicolas Brugger, Frederic Sebag, Stephan Windecker, Marco Valgimigli, Quentin Landolff, Laurent Roten, Nicolas Amabile, Lorenz Raber
Summary: This study compared FLX and W2.5 devices in terms of clinical outcomes, LAA sealing properties, and device-related thrombus. The study found that FLX, compared to W2.5, had similar procedure-related complications and 6-month NACE, but showed improved LAA neck coverage, lower IDL, and DRT.
Article
Radiology, Nuclear Medicine & Medical Imaging
Adrian Thomas Huber, Severin Fankhauser, Laureve Chollet, Severin Wittmer, Anna Lam, Samuel Baldinger, Antonio Madaffari, Jens Seiler, Helge Servatius, Andreas Haeberlin, Fabian Noti, Nicolas Brugger, Hendrik von Tengg-Kobligk, Christoph Grani, Laurent Roten, Hildegard Tanner, Tobias Reichlin
Summary: The presence of left atrial enhancing epicardial adipose tissue is associated with recurrence after atrial fibrillation ablation, indicating its potential as a predictive marker for treatment outcomes.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jeremias B. Klaus, Stergios Christodoulidis, Alan A. Peters, Cynthia Hourscht, Laura Loebelenz, Jaro Munz, Christophe Schroeder, Dominik Sieron, Dionysios Drakopoulos, Severin Stadler, Johannes T. Heverhagen, Helmut Prosch, Adrian Huber, Moritz Pohl, Stavroula G. Mougiakakou, Andreas Christe, Lukas Ebner
Summary: This study evaluated the sensitivity of lung and soft tissue CT kernel algorithms for the diagnosis of interstitial lung disease (ILD) patterns. The results showed no significant difference between lung and soft tissue kernel reconstructed CT images for correct pattern recognition in ILD. There were non-significant trends indicating that the use of soft tissue kernels and a higher level of experience may increase the probability of correct pattern identification.
ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN
(2023)
Correction
Multidisciplinary Sciences
Wilson Silva, Tiago Goncalves, Kirsi Haermae, Erich Schroeder, Verena Carola Obmann, Maria Cecilia Barroso, Alexander Poellinger, Mauricio Reyes, Jaime S. Cardoso
SCIENTIFIC REPORTS
(2023)
Review
Oncology
Clemens Mingels, Laura I. Loebelenz, Adrian T. Huber, Ian Alberts, Axel Rominger, Ali Afshar-Oromieh, Verena C. Obmann
Summary: Imaging plays a crucial role in the detection, characterization, and treatment of prostate cancer (PC). This review provides an overview of conventional and advanced imaging modalities, such as multiparametric magnetic resonance imaging (MRI) and positron emission tomography (PET) imaging, and discusses their benefits and weaknesses in imaging PC. It emphasizes the importance of accurate diagnosis, lesion detection, and staging for optimal patient treatment. The review also explores new imaging modalities and their potential implementation in clinical practice to further enhance PC imaging.
CURRENT PROBLEMS IN CANCER
(2023)
Correction
Radiology, Nuclear Medicine & Medical Imaging
Alan A. Peters, Adrian T. Huber, Verena C. Obmann, Johannes T. Heverhagen, Andreas Christe, Lukas Ebner
EUROPEAN RADIOLOGY
(2023)
Article
Medicine, General & Internal
Elias Primetis, Dionysios Drakopoulos, Dominik Sieron, Hugo Meusburger, Karol Szyluk, Pawel Niemiec, Verena C. C. Obmann, Alan A. A. Peters, Adrian T. T. Huber, Lukas Ebner, Georgios Delimpasis, Andreas Christe
Summary: This study aimed to evaluate demographic and radiologic parameters as surrogate biomarkers for predicting osteoarthritis (OA). The results revealed that age is the best predictor of severe knee cartilage degeneration, and knee diameters and cross-sectional area also correlate with the extent of cartilage lesions.
MEDICINA-LITHUANIA
(2023)
Article
Cardiac & Cardiovascular Systems
Alan A. Peters, Benedikt Wagner, Giancarlo Spano, Fabian Haupt, Lukas Ebner, Karl-Philipp Kunze, Michaela Schmidt, Radhouene Neji, Rene Botnar, Claudia Prieto, Bernd Jung, Andreas Christe, Christoph Graeni, Adrian T. Huber
Summary: The aim of this study was to compare the diagnostic accuracy and reader confidence of a novel free-breathing, image-based navigated 3D whole-heart LGE sequence with a 2D LGE sequence in patients with cardiomyopathy. The results showed that the 3D sequence had longer acquisition time, but better LGE detection and image quality with higher isotropic resolution.
INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
(2023)