Ineichen, Benjamin V Beck, Erin S Piccirelli, Marco Reich, Daniel S
Published in
Investigative radiology
There is growing interest in imaging multiple sclerosis (MS) through the ultra-high-field (UHF) lens, which currently means a static magnetic field strength of 7 T or higher. Because of higher signal-to-noise ratio and enhanced susceptibility effects, UHF magnetic resonance imaging improves conspicuity of MS pathological hallmarks, among them corti...
Platt, Tanja Ladd, Mark E. Paech, Daniel
Published in
Investigative Radiology
Ultrahigh magnetic fields offer significantly higher signal-to-noise ratio, and several magnetic resonance applications additionally benefit from a higher contrast-to-noise ratio, with static magnetic field strengths of B 0 ≥ 7 T currently being referred to as ultrahigh fields (UHFs). The advantages of UHF can be used to resolve structures more pre...
Violas, Xavier Rasschaert, Marlène Santus, Robin Factor, Cécile Corot, Claire Catoen, Sarah Idée, Jean-Marc Robert, Philippe
Published in
Investigative Radiology
The aim of the set of studies was to compare gadopiclenol, a new high relaxivity gadolinium (Gd)–based contrast agent (GBCA) to gadobenate dimeglumine in terms of small brain lesion enhancement and Gd retention, including T1 enhancement in the cerebellum. Materials and Methods In a first study, T1 enhancement at 0.1 mmol/kg body weight (bw) of gado...
Hori, Masaaki Hagiwara, Akifumi Goto, Masami Wada, Akihiko Aoki, Shigeki
Published in
Investigative Radiology
Low-field magnetic resonance imaging (MRI) systems have seen a renaissance recently due to improvements in technology (both hardware and software). Originally, the performance of low-field MRI systems was rated lower than their actual clinical usefulness, and they were viewed as low-cost but poorly performing systems. However, various applications ...
Fujita, Shohei Hagiwara, Akifumi Takei, Naoyuki Hwang, Ken-Pin Fukunaga, Issei Kato, Shimpei Andica, Christina Kamagata, Koji Yokoyama, Kazumasa Hattori, Nobutaka
...
Published in
Investigative radiology
The aims of this study were to develop an accelerated multiparametric magnetic resonance imaging method based on 3D-quantification using an interleaved Look-Locker acquisition sequence with a T2 preparation pulse (3D-QALAS) combined with compressed sensing (CS) and to evaluate the effect of CS on the quantitative mapping, tissue segmentation, and q...
Hagiwara, Akifumi Fujimoto, Kotaro Kamagata, Koji Murata, Syo Irie, Ryusuke Kaga, Hideyoshi Someya, Yuki Andica, Christina Fujita, Shohei Kato, Shimpei
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Published in
Investigative radiology
Quantitative synthetic magnetic resonance imaging (MRI) enables the determination of fundamental tissue properties, namely, T1 and T2 relaxation times and proton density (PD), in a single scan. Myelin estimation and brain segmentation based on these quantitative values can also be performed automatically. This study aimed to reveal the changes in t...
Scheenen, Tom W J Zamecnik, Patrik
Published in
Investigative radiology
The presence or absence of lymph node metastases is a very important prognostic factor in patients with solid tumors. Current invasive and noninvasive diagnostic methods for N-staging like lymph node dissection, morphologic computed tomography/magnetic resonance imaging (MRI), or positron emission tomography-computed tomography have significant lim...
Waller, Joseph V Allen, Isabel E Lin, Keldon K Diaz, Michael J Henry, Travis S Hope, Michael D
Published in
Investigative radiology
Several studies suggest the sensitivity of chest computed tomography (CT) is far greater than that of reverse transcription polymerase chain reaction (RT-PCR) in diagnosing COVID-19 patients, and therefore, CT should be included as a primary diagnostic tool. This systematic review aims to stratify studies as high or low risk of bias to determine th...
Hagiwara, Akifumi Fujita, Shohei Ohno, Yoshiharu Aoki, Shigeki
Published in
Investigative radiology
Radiological images have been assessed qualitatively in most clinical settings by the expert eyes of radiologists and other clinicians. On the other hand, quantification of radiological images has the potential to detect early disease that may be difficult to detect with human eyes, complement or replace biopsy, and provide clear differentiation of...
Germann, Christoph Marbach, Giuseppe Civardi, Francesco Fucentese, Sandro F Fritz, Jan Sutter, Reto Pfirrmann, Christian W A Fritz, Benjamin
Published in
Investigative radiology
The aim of this study was to clinically validate a Deep Convolutional Neural Network (DCNN) for the detection of surgically proven anterior cruciate ligament (ACL) tears in a large patient cohort and to analyze the effect of magnetic resonance examinations from different institutions, varying protocols, and field strengths. After ethics committee a...