Article
Geriatrics & Gerontology
Runmin Liu, Guangjun Li, Ming Gao, Weiwei Cai, Xin Ning
Summary: This manuscript presents a new sparse representation classifier algorithm for the early diagnosis of Alzheimer's disease. The algorithm considers the structural information between images, which leads to improved classification performance.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Review
Biochemistry & Molecular Biology
Anita Woo, Amy Botta, Sammy S. W. Shi, Tomas Paus, Zdenka Pausova
Summary: Obesity is a major risk factor for Alzheimer's disease and related dementias. The link between obesity and the neurodegenerative processes of dementias is not fully understood, but recent research suggests that obesity-related inflammation may contribute to neuroinflammation. This review highlights the need to bridge the gap between animal microscopy and human MR imaging studies.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Review
Biochemistry & Molecular Biology
Petra Hnilicova, Ema Kantorova, Stanislav Sutovsky, Milan Grofik, Kamil Zelenak, Egon Kurca, Norbert Zilka, Petra Parvanovova, Martin Kolisek
Summary: Alzheimer's disease (AD) is an incurable neurodegenerative disease characterized by perturbed cerebral perfusion and metabolism, induced proinflammatory processes, and the aggregation of amyloid beta and hyperphosphorylated Tau proteins. Various imaging methods can detect subclinical AD changes, and new insights suggest a link between brain insulin resistance and AD pathogenesis. This article discusses the use of non-neuronal imaging modalities to assess AD-related structural changes in the liver and pancreas, which may be clinically important during the prodromal phase of the disease.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Review
Neurosciences
Peiyu Huang, Minming Zhang
Summary: Neurodegenerative diseases pose a significant threat to an aging human society, and magnetic resonance imaging (MRI) is a non-invasive tool frequently used in studying these diseases.
NEUROSCIENCE BULLETIN
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ruhul Amin Hazarika, Arnab Kumar Maji, Raplang Syiem, Samarendra Nath Sur, Debdatta Kandar
Summary: The hippocampus plays a crucial role in memory formation and intellectual abilities in the human brain. It is one of the earliest affected regions in neurological disorders such as dementia, including Alzheimer's disease. Traditional image segmentation techniques are unable to accurately segment the complex structure of the hippocampus. This study introduces a U-Net Convolutional Network based approach for hippocampus segmentation in 2D brain images, achieving better performance compared to other state-of-the-art methods.
JOURNAL OF DIGITAL IMAGING
(2022)
Review
Clinical Neurology
Carol Y. Cheung, Vincent Mok, Paul J. Foster, Emanuele Trucco, Christopher Chen, Tien Yin Wong
Summary: Retinal imaging technologies play a crucial role in studying Alzheimer's disease, with qualitative and quantitative measurements associated with cognitive impairment and AD risk. Development of computer algorithms enhances the potential of retinal imaging for early detection and screening of AD.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2021)
Review
Biochemistry & Molecular Biology
Ruiqing Ni
Summary: Amyloid-beta (A beta) is crucial in the pathogenesis of Alzheimer's disease, with aberrant accumulation leading to neuroinflammation, cerebrovascular alterations, and cognitive impairments. High-field MRI technology has enabled non-invasive visualization of A beta-related alterations in animal models, offering translational value for clinical MRI applications.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Biotechnology & Applied Microbiology
Yuting Ruan, Ying Xiong, Wenli Fang, Qun Yu, Yingren Mai, Zhiyu Cao, Kexi Wang, Ming Lei, Jiaxin Xu, Yan Liu, Xingcai Zhang, Wang Liao, Jun Liu
Summary: This study developed a nanotheranostics platform and demonstrated its effectiveness in reducing beta-amyloid plaque burden and improving memory deficits in APP/PS1 transgenic mice. The nanomaterial allowed noninvasive detection by magnetic resonance imaging and quantification of plaque volumes based on three-dimensional analysis.
JOURNAL OF NANOBIOTECHNOLOGY
(2022)
Article
Oncology
Xuechun Liu, Zhenjiang Li, Yi Rong, Minsong Cao, Hongyu Li, Chuntao Jia, Liting Shi, Weizhao Lu, Guanzhong Gong, Yong Yin, Jianfeng Qiu
Summary: A 3D printed geometric phantom was developed for scanning with CT and MRI to measure geometric distortion. The study found that distortion increases gradually from the center to the outside in MRI scans and slightly affects the actual planning dose of radiotherapy.
FRONTIERS IN ONCOLOGY
(2021)
Article
Psychiatry
Sheng-Min Wang, Nak-Young Kim, Dong Woo Kang, Yoo Hyun Um, Hae-Ran Na, Young Sup Woo, Chang Uk Lee, Won-Myong Bahk, Hyun Kook Lim
Summary: The study found that rs-fMRI may reflect the impact of beta-amyloid pathology on brain activity in the early stages of AD, with functional connectivity maps showing the best classification performance.
FRONTIERS IN PSYCHIATRY
(2021)
Article
Computer Science, Hardware & Architecture
Yinsheng Tong, Zuoyong Li, Hui Huang, Libin Gao, Minghai Xu, Zhongyi Hu
Summary: The early and effective diagnosis of Alzheimer's disease and mild cognitive impairment has become increasingly important. However, current deep learning methods often overlook the contextual spatial information in structural MRI images used for diagnosis and classification. This research aims to develop a new network model that effectively detects or predicts AD by exploring the deeper spatial contextual structural information. The experimental results demonstrate the stability, accuracy, and generalization ability of the model.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Clinical Neurology
Kevin A. Gonzalez, Wassim Tarraf, Ariana M. Stickel, Sonya Kaur, Christian Agudelo, Susan Redline, Linda C. Gallo, Carmen R. Isasi, Jianwen Cai, Martha L. Daviglus, Fernando D. Testai, Charles Decarli, Hector M. Gonzalez, Alberto R. Ramos
Summary: This study examined the association between sleep pattern and brain disease outcomes in diverse Hispanics/Latinos. The results showed that longer sleep duration was associated with smaller total brain and gray matter volume, highlighting the importance of sleep on brain aging in this population.
ALZHEIMERS & DEMENTIA
(2023)
Article
Nanoscience & Nanotechnology
Yongjie Xiong, Yi Qu, Zhe Min, Jun Wu, Suming Zhang, Zheng Xue
Summary: This study developed a novel MRI contrast agent by coupling ultrasmall superparamagnetic iron oxide nanoparticles with a functional protein. The contrast agent successfully penetrated biological membranes and bound to Aβ deposits, allowing for the visualization of Aβ deposits in Alzheimer's disease animal models by MRI.
INTERNATIONAL JOURNAL OF NANOMEDICINE
(2022)
Review
Computer Science, Artificial Intelligence
Mariana Coelho, Martin Cerny, Joao Manuel R. S. Tavares
Summary: Alzheimer's disease is a progressive and irreversible neurodegenerative condition that affects memory, thinking, and behavior. Deep learning models show promise in diagnosing Alzheimer's using magnetic resonance images, but disease classification remains challenging. Developing more effective and innovative techniques is necessary.
Review
Clinical Neurology
Alessandro Galgani, Francesco Lombardo, Daniele Della Latta, Nicola Martini, Ubaldo Bonuccelli, Francesco Fornai, Filippo Sean Giorgi
Summary: LC-MRI studies have shown that LC signal is minimally affected during normal aging, but significantly reduced in patients with neurodegenerative diseases, making it a potential early biomarker.
CURRENT NEUROLOGY AND NEUROSCIENCE REPORTS
(2021)
Article
Clinical Neurology
Kazuto Yamashita, Masahiro Miura, Shunsuke Watanabe, Kengo Ishiki, Yuji Arimatsu, Junko Kawahira, Toshiko Kubo, Katsutaka Sasaki, Takayuki Arai, Kei Hagino, Yasuhiro Irino, Kota Nagai, David Verbel, Akihiko Koyama, Shobha Dhadda, Hayato Niiro, Shigeki Iwanaga, Toshiyuki Sato, Tomokazu Yoshida, Atsushi Iwata
Summary: The measurement of plasma Aβ42/Aβ40 ratio can accurately predict amyloid PET status, with high sensitivity and specificity. This method is less invasive and more accessible compared to amyloid PET and cerebrospinal fluid testing.
ALZHEIMERS RESEARCH & THERAPY
(2022)
Article
Clinical Neurology
Harald Hampel, Aya Elhage, Leslie M. Shaw, Paul Aisen, Christopher Chen, Alberto Lleo, Takeshi Iwatsubo, Atsushi Iwata, Masahito Yamada, Takeshi Ikeuchi, Jianping Jia, Huali Wang, Charlotte E. Teunissen, Elaine Peskind, Kaj Blennow, Jeffrey Cummings, Andrea Vergallo
Summary: This article is a summary of the safe use of lumbar puncture in diagnosing Alzheimer's disease and other forms of dementia. Despite the low risk of complications, there may be reluctance among physicians and patients to recommend or undergo this procedure. Patient education, specialist training, and new methods for patient safety are important factors in supporting the widespread use of lumbar puncture in Alzheimer's disease.
NEURODEGENERATIVE DISEASE MANAGEMENT
(2022)
Letter
Geriatrics & Gerontology
Keiko Hatano, Yasushi Nishina, Kazutomi Kanemaru, Atsushi Iwata
GERIATRICS & GERONTOLOGY INTERNATIONAL
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Shohei Fujita, Katsuhiro Sano, Gastao Cruz, Yuki Fukumura, Hideo Kawasaki, Issei Fukunaga, Yuichi Morita, Masami Yoneyama, Koji Kamagata, Osamu Abe, Kenichi Ikejima, Rene M. Botnar, Claudia Prieto, Shigeki Aoki
Summary: This study compared liver MR fingerprinting with other quantitative MRI techniques and found high agreement between the measurements. Furthermore, liver MR fingerprinting was correlated with histologic grading and showed high diagnostic performance.
Article
Radiology, Nuclear Medicine & Medical Imaging
Takeharu Yoshikawa, Soichiro Miki, Takahiro Nakao, Saori Koshino, Naoto Hayashi, Osamu Abe
Summary: This study investigated the prevalence, predisposing factors, and MRI characteristics of COVID-19 vaccination-related axillary lymphadenopathy. It found that axillary lymphadenopathy was common within 2 weeks after vaccination, typically less than 10 mm in size, and had a normal apparent diffusion coefficient.
Article
Gastroenterology & Hepatology
Hiroyuki Hakoda, Nobuhisa Akamatsu, Eisuke Shibata, Hidemasa Takao, Akihiko Ichida, Yoshikuni Kawaguchi, Junichi Kaneko, Osamu Abe, Kiyoshi Hasegawa
Summary: This study evaluated the safety and efficacy of interventional radiology (IR) for portal vein complications after liver transplantation (LT) using a hybrid operating room (OR). The results showed a 100% success rate for IR procedures performed in the hybrid OR using percutaneous transhepatic and transileocolic venous approaches.
Article
Medicine, Legal
Kotaro Fujimoto, Wataru Gonoi, Masanori Ishida, Naomasa Okimoto, Keisuke Nyunoya, Hiroyuki Abe, Tetsuo Ushiku, Osamu Abe
Summary: This study investigated the impact of antemortem factors on cerebrospinal fluid (CSF) Hounsfield Units (HU) observed in postmortem computed tomography (PMCT) and compared it to antemortem CT (AMCT). The study included 55 participants without brain lesions who underwent AMCT, PMCT, and autopsy. Factors such as age, sex, time after death, CSF HU on AMCT and PMCT, brain atrophy grade on AMCT, and the cella media index were recorded. The study found that there were no significant differences in CSF HUs at any of the PMCT measurement points, and CSF HU on PMCT was positively correlated with the time after death.
JOURNAL OF FORENSIC AND LEGAL MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Nana Fujita, Koichiro Yasaka, Akira Katayama, Yuta Ohtake, Mao Konishiike, Osamu Abe
Summary: This retrospective study found that DLR can significantly improve image quality and reduce streak artifacts in abdominal CT scans without arm elevation, compared with Hybrid-IR and FBP.
CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Shigeru Kiryu, Hiroyuki Akai, Koichiro Yasaka, Taku Tajima, Akira Kunimatsu, Naoki Yoshioka, Masaaki Akahane, Osamu Abe, Kuni Ohtomo
Summary: Deep learning has revolutionized the field of radiology and has recently been applied to the image reconstruction process of MRI. Deep learning reconstruction (DLR) has been successful in improving the signal-to-noise ratio in MR images, reducing imaging time, and lowering costs. However, the DLR technique may also introduce image artifacts and obscure small lesions, highlighting the need for further research in this area.
Article
Surgery
Eisuke Shibata, Hidemasa Takao, Osamu Abe
Summary: We present a case of successful NBCA packing for a large gastroduodenal artery pseudoaneurysm after distal pancreatectomy in a patient with a history of subtotal esophagectomy and gastric tube reconstruction. The pseudoaneurysm was attributed to direct injury to the gastroduodenal artery (GDA). However, embolization of the GDA was not feasible due to prior esophageal surgery, where the right epigastric artery from the GDA supplied the gastric tube. Packing with NBCA is a viable treatment option when preservation of the parent artery is necessary.
VASCULAR AND ENDOVASCULAR SURGERY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Tomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Hisaichi Shibata, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe
Summary: The study developed a liver nodule diagnostic method that accurately localizes and classifies liver lesions and identifies the specific liver segments. By integrating a liver segment division algorithm with a localization and classification model, the method shows great potential.
RADIOLOGICAL PHYSICS AND TECHNOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Noriko Kanemaru, Yudai Nakai, Takeyuki Watadani, Takahiro Nakao, Munetoshi Hinata, Akiko Nakazawa, Nobuhisa Akamatsu, Tetsuo Ushiku, Kiyoshi Hasegawa, Osamu Abe
Summary: This study reports a case of intrahepatic cholangiocarcinoma arising from biliary adenofibroma in a 64-year-old woman. The tumor showed different radiological findings in its two components, with the ventral portion resembling conventional intrahepatic cholangiocarcinoma and the dorsal portion resembling biliary adenofibroma. The importance of not missing malignant findings in preoperative diagnosis of biliary adenofibroma is discussed.
ABDOMINAL RADIOLOGY
(2023)
Article
Cell Biology
Harald Hampel, Rhoda Au, Soeren Mattke, Wiesje M. M. van der Flier, Paul Aisen, Liana Apostolova, Christopher Chen, Min Cho, Susan De Santi, Peng Gao, Atsushi Iwata, Ricky Kurzman, Andrew J. J. Saykin, Stefan Teipel, Bruno Vellas, Andrea Vergallo, Huali Wang, Jeffrey Cummings
Summary: This Perspective discusses the reconceptualization of Alzheimer's disease as a clinical and biological construct and proposes a new framework for clinical care pathways that incorporates biomarker-guided and digitally facilitated decision-making algorithms. The challenges and potential solutions for this transformation are addressed.
Article
Clinical Neurology
Kensaku Kasuga, Masataka Kikuchi, Tamao Tsukie, Kazushi Suzuki, Ryoko Ihara, Atsushi Iwata, Norikazu Hara, Akinori Miyashita, Ryozo Kuwano, Takeshi Iwatsubo, Takeshi Ikeuchi
Summary: The AT(N) classification aids in understanding the significance of Alzheimer's disease continuum biology in various populations, as it can categorize individuals based on different biomarkers.
BMJ NEUROLOGY OPEN
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kenji Ishibashi, Yoshiharu Miura, Tetsuro Tago, Jun Toyohara, Mana Higashihara, Atsushi Iwata, Kenji Ishii
Summary: This study examined the distribution pattern of F-18-THK5351 in the healthy brain and found that its uptake largely reflects the concentrations of MAO-B under normal conditions.
CLINICAL NUCLEAR MEDICINE
(2022)