Publications by authors named "Shiori Amemiya"

Article Synopsis
  • * There is a risk that VPS can contribute to the spread of germinomas into the abdominal area, but the imaging characteristics of this complication are not well understood.
  • * This article presents the CT imaging findings related to the unusual but significant issue of diffuse peritoneal dissemination of intracranial germinoma.
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Chronic lung allograft dysfunction (CLAD) continues to be the leading cause of death in the long term after lung transplantation (LTx). CLAD has the following two main subtypes: bronchiolitis obliterans syndrome (BOS) and restrictive allograft syndrome (RAS). BOS features obstructive lung dysfunction, while RAS features restrictive lung dysfunction.

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Article Synopsis
  • - The study aimed to assess a new imaging technique, 3D-QALAS, for measuring brain tissue properties (T1, T2, and proton density) using different MRI machines without being tied to a specific brand.
  • - Conducted on various 3T MRI systems with healthy volunteers and multiple sclerosis patients, the results showed high accuracy and reproducibility of measurements across different machines and conditions.
  • - The findings indicate that 3D-QALAS can effectively provide consistent brain tissue mapping regardless of the MRI vendor, making it a promising tool for clinical applications.
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Resting-state functional magnetic resonance imaging (rsfMRI) has been widely applied to investigate spontaneous neural activity, often based on its macroscopic organization that is termed resting-state networks (RSNs). Although the neurophysiological mechanisms underlying the RSN organization remain largely unknown, accumulating evidence points to a substantial contribution from the global signals to their structured synchronization. This study further explored the phenomenon by taking advantage of the inter- and intra-subject variations of the time delay and correlation coefficient of the signal timeseries in each region using the global mean signal as the reference signal.

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Resting-state functional magnetic resonance imaging (rsfMRI) has been developed as a method of investigating spontaneous neural activity. Based on its low-frequency signal synchronization, rsfMRI has made it possible to identify multiple macroscopic structures termed resting-state networks (RSNs) on a single scan of less than 10 minutes. It is easy to implement even in clinical practice, in which assigning tasks to patients can be challenging.

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Purpose: Burning mouth syndrome (BMS) is defined by a burning sensation or pain in the tongue or other oral sites despite the presence of normal mucosa on inspection. Both psychiatric and neuroimaging investigations have examined BMS; however, there have been no analyses using the neurite orientation dispersion and density imaging (NODDI) model, which provides detailed information of intra- and extracellular microstructures. Therefore, we performed voxel-wise analyses using both NODDI and diffusion tensor imaging (DTI) models and compared the results to better comprehend the pathology of BMS.

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Intravascular lymphoma (IVL) is difficult to diagnose because its clinical presentation and laboratory and imaging findings are nonspecific. Herein, we report a case of IVL presenting as a lesion in the splenium of the corpus callosum. A 52-year-old man attended the emergency department with a 2-week history of progressively worsening abnormal behavior and gait disturbance.

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Background: Brain metastases (BMs) are the most common intracranial tumors causing neurological complications associated with significant morbidity and mortality.

Purpose: To evaluate the effect of computer-aided detection (CAD) on the performance of observers in detecting BMs on non-enhanced computed tomography (NECT).

Material And Methods: Three less experienced and three experienced radiologists interpreted 30 NECT scans with 89 BMs in 25 cases to detect BMs with and without the assistance of CAD.

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Blood oxygenation level-dependent (BOLD) contrast is sensitive to local hemodynamic changes and thus is applicable to imaging perfusion or vascular reactivity. However, knowledge about its measurement characteristics compared to reference standard perfusion imaging is limited. This study longitudinally evaluated perfusion in patients with steno-occlusive disease using resting-state functional MRI (rsfMRI) acquired before and within nine days of anterior circulation revascularization in patients with large cerebral artery steno-occlusive diseases.

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Purpose: Pre-surgical diagnosis of skull base chondrosarcoma (SBC) is often challenging due to the resemblance to chordoma. The goal of this study was to develop an optimal method for predicting SBC diagnosis.

Methods: This retrospective study included patients with histologically diagnosed SBC and skull base chordoma.

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Objective: This study aimed to test the usefulness of computer-aided detection (CAD) for the detection of brain metastasis (BM) on contrast-enhanced computed tomography.

Methods: The test data set included whole-brain axial contrast-enhanced computed tomography images of 25 cases with 62 BMs and 5 cases without BM. Six radiologists from 3 institutions with 2 to 4 years of experience independently reviewed the cases, both in conditions with and without CAD assistance.

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Post-traumatic facial nerve paralysis is a common disease, but intracranial facial nerve injury after blunt injury has rarely been reported. We report a case of facial nerve avulsion at the cerebellopontine angle. A 23-year-old female with incomplete right-sided facial nerve palsy and facial spasms presented to our hospital.

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Purpose: To develop a rigid real-time prospective motion-corrected multiparametric mapping technique and to test the performance of quantitative estimates.

Methods: Motion tracking and correction were performed by integrating single-shot spiral navigators into a multiparametric imaging technique, three-dimensional quantification using an interleaved Look-Locker acquisition sequence with a T2 preparation pulse (3D-QALAS). The spiral navigator was optimized, and quantitative measurements were validated using a standard system phantom.

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Liver acquisition with volume acceleration-flex (LAVA-Flex) acquires out-of-phase and in-phase echo images and automatically generates water-only and fat-only images from one single acquisition. The scan time of carotid MR angiography (MRA) using LAVA-Flex (LAVA MRA) is about one-fifth that of conventional time-of-flight MRA (cTOF MRA). We aimed to investigate whether LAVA MRA could provide useful information for the diagnosis of carotid plaque by utilizing the ability to acquire multiple sequences simultaneously.

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Background: Nonenhanced MR angiography (MRA) studies are often used to manage acute and chronic large cervical artery disease, but lengthy scan times limit their clinical usefulness.

Purpose: To develop an accelerated cervical MRA and test its diagnostic performance.

Study Type: Prospective.

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Purpose: This study aims to develop a 2.5-dimensional (2.5D) deep-learning, object detection model for the automated detection of brain metastases, into which three consecutive slices were fed as the input for the prediction in the central slice, and to compare its performance with that of an ordinary 2-dimensional (2D) model.

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Purpose: MR image quality and subsequent brain morphometric analysis are inevitably affected by noise. The purpose of this study was to evaluate the effectiveness of an artificial intelligence (AI)-based post-scan processing denoising system, intelligent Quick Magnetic Resonance (iQMR), on MR image quality and brain morphometric analysis.

Methods: We used 1.

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Background: Noninvasive cerebral blood flow (CBF) monitoring using arterial spin labeling (ASL) magnetic resonance imaging is useful for managing large cerebral artery steno-occlusive diseases. However, knowledge about its measurement characteristics in comparison with reference standard perfusion imaging is limited.

Purpose: To evaluate perfusion in a longitudinal manner in patients with steno-occlusive disease using ASL and compare with single-photon emission computed tomography (SPECT).

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Article Synopsis
  • Researchers created a deep-learning model to automatically detect brain metastases using both contrast-enhanced (CE) and non-enhanced (NECT) CT images, aiming to compare its effectiveness against a model using only CE images.
  • The study analyzed 116 CT scans from patients, yielding 659 brain metastases for training, validation, and testing of two single-shot detector models.
  • Results showed the CE + NECT model had higher positive predictive value and fewer false positives compared to the CECT model, suggesting that using both image types improves detection accuracy.
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Toxoplasma gondii can develop toxoplasmic encephalitis (TE) in immunodeficient conditions such as AIDS and after organ transplantation. While some cases of TE with malignant lymphoma were reported, these cases occurred immediately after chemotherapy or when their diseases were active. Here we report the first Case of TE that occurred in patient who was in partial remission (PR) of lymphoplasmacytic lymphoma (LPL) for two years.

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Background: Scan acceleration such as parallel imaging reduces scan time, but shorter scan time may reduce the signal-to-noise ratio and affect image quality. The reproducibility of longitudinal changes in the brain structure between non-accelerated and accelerated imaging by surface-based analysis is unclear.

Purpose: To determine the reproducibility of longitudinal changes in cortical thickness, measured by surface-based morphometry, between non-accelerated and accelerated structural T -weighted imaging in the healthy elderly and those with mild cognitive impairment (MCI) and Alzheimer's disease (AD).

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Article Synopsis
  • This study evaluated computed tomography findings related to pancreatobiliary inflammation (PBI) in 78 patients treated with lenvatinib for liver or thyroid cancer.
  • PBI was identified in 11.5% of patients, commonly resulting in a significant drop in treatment duration (44 days) compared to those without PBI (201 days).
  • About 55.6% of PBI cases were acalculous, indicating the importance of recognizing these effects for better treatment planning.
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Blastic plasmacytoid dendritic cell neoplasm is a rare aggressive myeloid malignancy thought to be derived from precursor plasmacytoid dendritic cells. Rapid progression and poor prognosis have been known. We herein present a case of BPDCN in a previously healthy man who presented with suddenly developed multiple deep purple skin rashes, with sequential computed tomography examinations.

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Article Synopsis
  • The study aimed to evaluate if the feature-fusion (FF) method enhances the single-shot detector's (SSD) ability to identify small brain metastases on contrast-enhanced T1-weighted MRI.
  • A total of 234 MRI scans from patients were analyzed, comparing SSDs with and without an FF module to determine detection performance using metrics like sensitivity and positive-predictive value (PPV).
  • Results showed that the FF-SSD algorithm achieved high sensitivity, especially for lesions larger than 6 mm, and significantly improved detection of lesions smaller than 3 mm compared to baseline SSD performance.
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Endometrial stromal sarcoma is a rare uterine mesenchymal neoplasm, and extrauterine endometrial stromal sarcoma is even rarer, with a limited number of case reports. In the present report, we present a case of low-grade extrauterine endometrial stromal sarcoma originating from the mesentery in a 49-year-old woman, without endometrial stromal sarcoma in the uterus or evidence of endometriosis. The tumor was diagnosed using recombination of the gene by fluorescence in situ hybridization.

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