Article
Radiology, Nuclear Medicine & Medical Imaging
Lu Lin, Liang Wang, Xiao-Na Zhang, Xiao Li, Jian Wang, Zhu-Jun Shen, Wei Chen, Zheng-Yu Jin, Yi-Ning Wang
Summary: This study evaluated the diagnostic performance of 1.5-T non-contrast MR coronary angiography for detecting coronary artery disease. The results showed that the combined use of whole-heart and volume-targeted imaging in MRCA can efficiently diagnose significant coronary stenosis with high sensitivity and moderate specificity.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chen Geng, Yifang Bao, Jiajun Zhang, Dongdong Wang, Zhiyong Zhou, Ruoyu Di, Bin Dai, Sirong Piao, Daoying Geng, Meng Chen, Yakang Dai, Yuxin Li
Summary: This study aimed to develop a computer-aided aneurysm detection method to improve diagnostic efficiency and accuracy, especially to decrease the false positive rate. A detection model based on dual channel SE-3D UNet was constructed and validated on a dataset of 1160 TOF-MRA examinations. The proposed method achieved 82.46% sensitivity on patient-level and 73.85% sensitivity on lesion-level, with 0.88 false positives per case.
EUROPEAN RADIOLOGY
(2023)
Article
Engineering, Biomedical
Yuxi Zhou, Yifeng Yang, Ting Fang, Shouqiang Jia, Shengdong Nie, Xiaodan Ye
Summary: This study aims to develop a three-dimensional convolutional neural network using computer-aided diagnostic technology to detect intracranial aneurysms, assess their location and extent, and enhance the efficiency of radiologists and clinical workflows.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Filiz Osmanodja, Julie Roesch, Michael Knott, Arnd Doerfler, David Grodzki, Michael Uder, Rafael Heiss
Summary: This study evaluated the performance of a modern 0.55 T MRI in the diagnosis of intracranial aneurysms (IA) and compared it with digital subtraction angiography (DSA) as the standard of reference. The results showed that 0.55 T MRI could accurately detect and assess IA. Therefore, 0.55 T MRI is a reliable tool for the detection of IA.
INVESTIGATIVE RADIOLOGY
(2023)
Article
Engineering, Multidisciplinary
Jing Lu, Yan Wu, Yao Xiong, Yapeng Zhou, Ziliang Zhao, Liutong Shang
Summary: This paper designs a new computer-aided detection system for breast tumors using three networks and explores the impact of secondary migration on experimental results. The results show that the system built based on VGG16 and ResNet50 performs well, and migration can improve system performance.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mark A. Anderson, Sarah Mercaldo, Ryan Chung, Ethan Ulrich, Randall W. Jones, Mukesh Harisinghani
Summary: This study aimed to evaluate the improvement in detection of clinically significant prostate cancer by adding a computer-aided diagnostic (CAD) generated MRI series. The results showed that the CAD-generated MRI series significantly improved the diagnostic performance and inter-reader agreement.
ACADEMIC RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Christoph Germann, Andre N. Meyer, Matthias Staib, Reto Sutter, Benjamin Fritz
Summary: A deep convolutional neural network (DCNN) was validated for measuring vertebral bodies and detecting insufficiency fractures on lumbar spine MRI. The DCNN showed excellent agreement with radiologists in vertebral body measurements and achieved high sensitivity, specificity, and accuracy in fracture detection. The diagnostic performance of the DCNN was independent of the radiological institution, MRI scanner, and magnetic field strength.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Toshimasa J. Clark, Gregory J. Wilson, Jeffrey H. Maki
Summary: This study utilized computer modeling to evaluate the impact of contrast signal intensity evolution under different injection strategies on CE-MRA imaging. The results indicate that shorter plateau lengths and lower tail heights lead to increased measurement errors and blurring in the imaging. Optimal contrast injection guidelines were proposed for minimal degradation in CE-MRA imaging.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Computer Science, Software Engineering
Sebastian Weiss, Ruediger Westermann
Summary: This paper presents a differentiable volume rendering solution that allows for differentiation of all parameters of the rendering process. The approach is tailored for volume rendering and facilitates automatic optimization of parameters and volumetric density field. The effectiveness of the method is demonstrated through experiments and comparisons with other techniques.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Clinical Neurology
Taku Tajima, Hiroyuki Akai, Koichiro Yasaka, Akira Kunimatsu, Naoki Yoshioka, Masaaki Akahane, Kuni Ohtomo, Osamu Abe, Shigeru Kiryu
Summary: This study compares the diagnostic performance of 1.5 T and 3 T magnetic resonance angiography (MRA) for detecting cerebral aneurysms using deep learning-based computer-assisted detection software. The study also investigates the causes of potential false positives.
Article
Radiology, Nuclear Medicine & Medical Imaging
Aurelien Bustin, Alina Hua, Giorgia Milotta, Olivier Jaubert, Reza Hajhosseiny, Tevfik F. Ismail, Rene M. Botnar, Claudia Prieto
Summary: This study assessed the reproducibility of an accelerated free-breathing three-dimensional whole-heart T2 MRI mapping sequence in participants without a history of cardiac disease and those with suspected myocarditis. The results showed high intrasession and intersession reproducibility of the 3D T2 mapping, which may have potential clinical applications for the diagnosis of suspected myocarditis.
Article
Radiology, Nuclear Medicine & Medical Imaging
Sandra Labus, Martin M. Altmann, Henkjan Huisman, Angela Tong, Tobias Penzkofer, Moon Hyung Choi, Ivan Shabunin, David J. Winkel, Pengyi Xing, Dieter H. Szolar, Steven M. Shea, Robert Grimm, Heinrich von Busch, Ali Kamen, Thomas Herold, Clemens Baumann
Summary: The study evaluated the effect of a deep learning-based computer-aided diagnosis system on experienced and less-experienced radiologists in reading prostate mpMRI. Results showed that DL-CAD assistance increased diagnostic accuracy for both groups of radiologists, with the most significant benefit observed in less-experienced radiologists, enabling them to achieve performances comparable to that of experienced radiologists.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhongqin Zhou, Dongmei Wei, Shiganmo Azhe, Chuan Fu, Xiaoyue Zhou, Jing An, Davide Piccini, Jessica Bastiaansen, Yingkun Guo, Lingyi Wen
Summary: Self-navigated coronary MR angiography (SN-CMRA) can be used to evaluate coronary aneurysms (CAA) in patients with Kawasaki disease without increasing radiation. It has reliable diagnostic performance and application value, offering a simplified scanning procedure, shorter scan time, and comparable image quality and diagnostic accuracy compared to other imaging methods.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yukihiro Nomura, Shouhei Hanaoka, Takahiro Nakao, Naoto Hayashi, Takeharu Yoshikawa, Soichiro Miki, Takeyuki Watadani, Osamu Abe
Summary: The performance of CAD software depends on the quality and quantity of the dataset used for machine learning. Training using multisite data did not show the lowest performance among the three training patterns for any CAD software and dataset. Using data collected from multiple sites for training is desirable to ensure stable performance of the software.
JAPANESE JOURNAL OF RADIOLOGY
(2021)
Article
Engineering, Biomedical
Sanaullah, Muhammad Arshad Javid, Saeed Ahmad Buzdar
Summary: Cancer diagnosis is a challenging task in medical image processing. A novel method using MRI and MRS images to locate tumors and sub-regions was explored in this study. An automated CAD system was developed to classify and segment brain cancer tissues, achieving high diagnostic accuracy for high- and low-grade tumors.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Review
Clinical Neurology
Ryo Kurokawa, Akira Baba, Mariko Kurokawa, Yoshiaki Ota, Omar Hassan, Aristides Capizzano, John Kim, Timothy Johnson, Ashok Srinivasan, Toshio Moritani
Summary: This study investigated the CT and MRI findings of astroblastomas, revealing a significant impact of tumor morphology on histological grading. The classification of tumor morphology may aid in predicting the tumor's grade, contributing to clinical care and future oncologic research.
JOURNAL OF NEUROIMAGING
(2022)
Article
Clinical Neurology
Yoshiaki Ota, Eric Liao, Aristides A. Capizzano, Hajime Yokota, Akira Baba, Ryo Kurokawa, Mariko Kurokawa, Toshio Moritani, Kengo Yoshii, Ashok Srinivasan
Summary: This study evaluated the clinical utility of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MRI (DCE-MRI) in differentiating meningiomas, paragangliomas, and schwannomas. Parameters such as V-p, V-e, and K-trans showed significant differences between different tumor types, with V-p demonstrating the best diagnostic performance values.
JOURNAL OF NEUROIMAGING
(2022)
Review
Clinical Neurology
Akira Baba, Ryo Kurokawa, Mariko Kurokawa, Yoshiaki Ota, Remy Lobo, Ashok Srinivasan
Summary: The study successfully summarized the radiological characteristics of laryngeal conventional chondrosarcomas, including common features like cortical defect/expansion, internal low density, and calcification. Understanding these radiological features can aid in prompt diagnosis and appropriate management of the condition.
JOURNAL OF NEUROIMAGING
(2022)
Review
Clinical Neurology
Ryo Kurokawa, Akira Baba, Mariko Kurokawa, Emile S. Pinarbasi, Naohiro Makise, Yoshiaki Ota, John Kim, Ashok Srinivasan, Toshio Moritani
Summary: Diffuse hemispheric gliomas, H3 G34-mutant (DHGs-G34m), predominantly occur in the supratentorial regions of adolescents, with prognosis varying among patients. Evaluation of tumor margins may have prognostic value.
JOURNAL OF NEUROIMAGING
(2022)
Article
Clinical Neurology
A. Baba, R. Kurokawa, E. Rawie, M. Kurokawa, Y. Ota, A. Srinivasan
Summary: Normalized dynamic contrast-enhanced MR imaging parameters, normalized mean ADC, and their combination were found to be effective in differentiating recurrence and benign posttreatment changes in head and neck cancer.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2022)
Article
Clinical Neurology
Ryo Kurokawa, Mariko Kurokawa, Adam Holmes, Akira Baba, Jayapalli Bapuraj, Aristides Capizzano, John Kim, Ashok Srinivasan, Toshio Moritani
Summary: This study evaluated the diagnostic performance of DWI and dynamic contrast-enhanced MRI in differentiating skull metastasis from osseous venous malformations and skull metastasis of various origins. The results showed that plasma volume and time-to-maximum enhancement were the most statistically significant parameters for differentiating skull metastasis from osseous venous malformations, while normalized mean ADC and peak enhancement values were the most statistically significant parameters for differentiating breast cancer from non-small cell lung cancer.
JOURNAL OF NEUROIMAGING
(2022)
Review
Clinical Neurology
Akira Baba, Ryo Kurokawa, Takeshi Fukuda, Hiroaki Fujioka, Mariko Kurokawa, Nei Fukasawa, Shoko Sonobe, Kazuhiro Omura, Satoshi Matsushima, Yoshiaki Ota, Hideomi Yamauchi, Kanichiro Shimizu, Naoki Kurata, Ashok Srinivasan, Hiroya Ojiri
Summary: This study comprehensively summarizes the radiological characteristics of human papillomavirus-related multiphenotypic sinonasal carcinomas (HMSCs), including the locations, tumor size, margin features, enhancement patterns, and diffusion-weighted imaging. Understanding these characteristics is expected to facilitate prompt diagnosis and appropriate management.
Review
Radiology, Nuclear Medicine & Medical Imaging
Ryo Kurokawa, Mariko Kurokawa, Akihiko Mitsutake, Moto Nakaya, Akira Baba, Yasuhiro Nakata, Toshio Moritani, Osamu Abe
Summary: Triplet repeat diseases (TRDs) are a group of diseases caused by the expansion of three nucleotide repeats, including polyglutamine disorders, loss-of-function repeat disorders, RNA gain-of-function disorders, and polyalanine disorders. Many TRDs manifest neurologic symptoms, and neuroimaging plays a pivotal role in detection and management of TRDs.
JAPANESE JOURNAL OF RADIOLOGY
(2023)
Article
Neurosciences
Shiori Amemiya, Hidemasa Takao, Yusuke Watanabe, Satoru Miyawaki, Satoshi Koizumi, Nobuhito Saito, Osamu Abe
Summary: This study examined the perfusion in patients with steno-occlusive disease using resting-state functional MRI (rsfMRI) and found that the time delay parameter of rsfMRI is more sensitive to hemodynamic changes compared to single-photon emission CT (SPECT) cerebral blood flow (CBF). However, the reliability of rsfMRI is lower than SPECT.
Article
Radiology, Nuclear Medicine & Medical Imaging
Shimpei Kato, Shiori Amemiya, Hidemasa Takao, Hiroshi Yamashita, Naoya Sakamoto, Soichiro Miki, Yusuke Watanabe, Fumio Suzuki, Kotaro Fujimoto, Masumi Mizuki, Osamu Abe
Summary: Computer-aided detection (CAD) improves the sensitivity of detecting brain metastases (BMs) on non-enhanced computed tomography (NECT) for less experienced radiologists, but not for experienced radiologists.
Article
Radiology, Nuclear Medicine & Medical Imaging
Akira Baba, Ryo Kurokawa, Mariko Kurokawa, Roberto Rivera-de Choudens, Ashok Srinivasan
Summary: This study evaluated and compared the utility of 40-keV virtual monochromatic imaging and 70-keV virtual monochromatic imaging in the assessment of neck lymph node metastasis. The results showed that 40-keV VMI had higher contrast and better boundary discrimination than 70-keV VMI.
JAPANESE JOURNAL OF RADIOLOGY
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Ryo Kurokawa, Mariko Kurokawa, Akira Baba, Moto Nakaya, Shimpei Kato, Jayapalli Bapuraj, Yasuhiro Nakata, Yoshiaki Ota, Ashok Srinivasan, Osamu Abe, Toshio Moritani
Summary: Hypophysitis is a complex disease with various types and mimickers, making an accurate diagnosis crucial for proper management. Neuroimaging is essential in the diagnostic process and can differentiate between hypophysitis and other lesions. This article provides a comprehensive review of the types of hypophysitis and summarizes the clinical and imaging features of both hypophysitis and its mimickers.
JAPANESE JOURNAL OF RADIOLOGY
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Shiori Amemiya, Hidemasa Takao, Osamu Abe
Summary: Resting-state functional magnetic resonance imaging (rsfMRI) allows for the investigation of spontaneous neural activity and the identification of resting-state networks (RSNs) in less than 10 minutes. The global rsfMRI signal, traditionally overlooked, is actually a dominant component that provides valuable information about local hemodynamics and can serve as a diagnostic biomarker. Recent spatiotemporal analyses have challenged conventional assumptions and revealed the fundamental association between the global signal and RSN organization.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Neurosciences
Shiori Amemiya, Hidemasa Takao, Shouhei Hanaoka, Osamu Abe
Summary: This study explored the inter- and intra-subject variations of the time delay and correlation coefficient of signal timeseries in each region using global mean signal as the reference signal, and found that these variations can organize networks equivalent to resting-state networks (RSNs). The findings not only provide further evidence that the local hemodynamic status could be the direct source of RSNs' spatial patterns, but also explain how the regional variations in hemodynamics combined with changes in the global events' power spectrum lead to the observations. These findings pose challenges to interpretations of rsfMRI studies, but also support the view that rsfMRI can offer detailed information related to global neurophysiological phenomena as well as local hemodynamics, which could have great potential as biomarkers.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ryusuke Irie, Shiori Amemiya, Tsuyoshi Ueyama, Yuichi Suzuki, Hidemasa Takao, Osamu Abe
Summary: Liver acquisition with volume acceleration-flex (LAVA-Flex) acquires multiple sequences simultaneously to provide more useful information for the diagnosis of carotid plaque compared to conventional time-of-flight MRA (cTOF MRA). In LAVA MRA, low-intensity plaques are clearly identified in in-phase images, while high-intensity plaques are more clearly identified in water-only or out-of-phase images. cTOF MRA does not offer superior visualization of the plaques.
MAGNETIC RESONANCE IN MEDICAL SCIENCES
(2023)