Publications by authors named "Yui M"

The high-affinity immunoglobulin E (IgE) receptor (FcεRI) drives type I hypersensitivity in response to allergen-specific IgE. FcεRI is a multimeric complex typically composed of one α, one β, and two disulfide-linked γ subunits. The α subunit binds to the fragment crystallizable (Fc) region of IgE (Fcε), whereas the β and γ subunits mediate signaling through their intracellular immunoreceptor tyrosine-based activation motifs (ITAMs).

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Bilateral congenital cholesteatoma (BCC) is rare among congenital cholesteatoma (CC) cases, and bilateral surgery poses a significant psychophysical burden on pediatric patients. Here, we present 2 pediatric cases of BCC that were successfully managed using simultaneous bilateral transcanal endoscopic ear surgery (TEES). The surgical approach provided clear visualization of the middle ear structures, enabling successful cholesteatoma removal with minimal invasiveness and a short operative time.

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Diffusion equation (DE) imaging processing is promising to enhance images showing lesions of bone metastasis (LBM). The Perona-Malik diffusion (PMD) model, which has been widely used and studied, is an anisotropic diffusion processing method to denoise or extract objects from an image effectively. However, the smoothing characteristics of PMD or its related method hinder extraction and enhancement of soft tissue regions of medical image such as computed tomography (CT), typically leaving an indistinct region with ambient tissues.

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Cone-beam computed tomography (CBCT) is widely utilized in image-guided radiation therapy; however, its image quality is poor compared to planning CT (pCT), thus restricting its utility for adaptive radiotherapy (ART). Our objective was to enhance CBCT image quality utilizing a transformer-based deep learning model, SwinUNETR, which we compared with a conventional convolutional neural network (CNN) model, U-net. This retrospective study involved 260 patients undergoing prostate radiotherapy, with 245 patients used for training and 15 patients reserved as an independent hold-out test dataset.

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  • A study explored the use of high-dose-rate interstitial brachytherapy (HDR-ISBT) as palliative treatment for an 81-year-old male with base of tongue cancer, following prior radiation and treatment.
  • The patient underwent a lower-dose external beam radiotherapy (ERT) followed by a single-fraction HDR-ISBT booster, with precautions taken to minimize infection and bleeding.
  • Post-treatment results showed significant tumor reduction, pain relief, and no complications after nearly three years, indicating HDR-ISBT could be an effective palliative care option for patients in similar situations.
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  • This study aimed to evaluate how effective proton density with fat fraction (PD-FFQ) imaging is in diagnosing aplastic anemia and assessing blood production ability in adults.! -
  • Researchers compared PD-FFQ imaging results in 14 aplastic anemia patients, 14 patients with myelodysplastic syndrome, and 14 control patients, analyzing correlations with blood test results and distinguishing features between groups.! -
  • The findings indicated that PD-FFQ imaging, particularly measurements from vertebrae, correlated well with blood test results and demonstrated higher diagnostic accuracy and specificity when assessing aplastic anemia compared to other methods.!
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  • A study compared compressed sensing (CS) with deep learning reconstruction (DLR) to traditional parallel imaging (PI) for enhancing image quality and reducing scan time in female pelvic MRI at 1.5-T.
  • Results showed that CS combined with DLR yielded significantly higher signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) for both T1 and T2-weighted images, indicating improved diagnostic performance.
  • The findings concluded that using CS with DLR is more effective than PI, providing better image quality and shorter examination times for female pelvic MRIs.
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  • We need to think about parathyroid extraglandular bleeding in patients who have sudden neck pain and swelling.
  • It's important to check serum calcium and parathyroid hormone levels when suspecting a neck hematoma linked to a parathyroid adenoma.
  • This evaluation helps identify any serious issues related to the parathyroid glands.
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The measurement of free hemoglobin (free Hb) in blood is crucial for assessing the risk of organ damage in patients with hemolytic diseases. However, the colorimetric method, commonly used in clinical practice, does not distinguish between free Hb and the hemoglobin-haptoglobin complex (Hb-Hp) in the blood, instead reflecting the total Hb level. Although size-exclusion high-performance liquid chromatography (SEC-HPLC) can specifically measure free Hb, its clinical use is limited by long assay times.

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Olfactory neuroblastoma (ONB) is an uncommon malignant tumor and is usually treated by a multidisciplinary approach includes surgery, radiotherapy, and chemotherapy. A 62 years-old male had a tumor in the nasal cavity and diagnosed as ONB with Kadish A stage. Anterior skull base surgery was performed as radical treatment.

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Background Since the larynx and pharynx are vital for respiration, swallowing, and speech, chemoradiotherapy (CRT) has been widely applied for T3 hypopharyngeal cancer (HPC) as an organ-preserving treatment. However, CRT can lead to severe late adverse events such as dysphagia and aspiration pneumonia, especially in patients who have difficulty swallowing and/or aspiration at the time of initial diagnosis. Patients and methods Between 2012 and 2020, 86 patients with T3 HPC treated with curative intent at Kobe University Hospital were included in this study.

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  • Diffusion-weighted imaging (DWI) is often affected by quality issues due to susceptibility artifacts, and new imaging techniques like fast advanced spin-echo (FASE) and deep learning reconstruction (DLR) aim to improve this.
  • The study used both in vitro (phantom) and in vivo (patient) testing to compare the effectiveness of FASE and DLR against traditional echo-planar imaging (EPI) regarding image quality and the ability to distinguish between malignant and benign tumors.
  • Results showed that FASE with DLR significantly enhanced image quality and signal-to-noise ratio while maintaining accuracy in measuring the apparent diffusion coefficient (ADC) and differentiating tumor types compared to EPI.
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Objective: Landmark arteries during endoscopic sinus surgery are currently identified on the basis of anatomy, CT imaging and navigation, and Doppler flowmetry. However, the advantage of intraoperative fluorescence imaging during endoscopic sinus surgery has not been demonstrated. This study aimed to investigate whether Indocyanine Green (ICG) is useful for visualizing landmark arteries during endoscopic sinus and skull base surgery.

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Delivering cancer treatment to elderly patients with dementia is often challenging. We describe performing palliative surface mold brachytherapy (SMBT) in an elderly patient with advanced dementia for pain control using music therapy to assist with agitation. The patient was a 97-year-old Japanese woman with advanced dementia.

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  • The study aimed to evaluate how compressed sensing (CS) with deep learning reconstruction (DLR) can enhance the quality of liver imaging compared to traditional methods.
  • Seventy-seven patients with liver lesions were analyzed using both high-resolution contrast-enhanced T1-weighted imaging (HR-CE-T1WI) and conventional methods to assess image quality, clarity, and lesion detection rates.
  • Results showed that HR-CE-T1WI had significantly better image quality and sensitivity for detecting liver lesions while reducing the likelihood of false positives.
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  • The study aimed to assess how reverse encoding direction (RDC) affects diffusion-weighted imaging (DWI) measurements and to see if it improves the ability to distinguish between malignant and benign tumors in the head and neck region.
  • Forty-eight patients were analyzed, comparing DWI images taken with and without RDC, along with pathological examinations to categorize tumors as either malignant or benign.
  • Results indicated that RDC led to a significant reduction in the deformation ratio of DWI images, and while ADC values differed between tumor types, both DWI methods showed similar diagnostic accuracy overall.
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  • The study evaluates the effectiveness of deep learning reconstruction (DLR) in enhancing image quality and T-factor assessments in non-small cell lung cancer (NSCLC) patients using various MR imaging sequences.
  • Researchers analyzed 213 NSCLC patients by comparing signal-to-noise ratios (SNR) and diagnostic accuracy between MR imaging sequences with and without DLR versus thin-section multidetector-row CT (MDCT).
  • Results indicated that DLR significantly improved SNR in certain MR sequences, with STIR imaging and contrast-enhanced Quick 3D imaging showing superior diagnostic accuracy compared to thin-section CT, suggesting that DLR is beneficial for MR imaging in NSCLC patients.
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  • The study aimed to compare the effectiveness of ultra-short TE (UTE) MRI and thin-section CT in distinguishing between non- and minimally invasive adenocarcinomas and other lung cancers in stage IA patients.
  • It involved 90 patients, analyzing various measurements like nodule dimensions and C/T ratios, and used statistical tests to determine differences and accuracies among the imaging methods.
  • Results showed that UTE MRI is at least as effective as CT for quantitatively differentiating lung cancer types, with UTE providing valuable insights for clinical evaluation.
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Purpose: Deep learning reconstruction (DLR) to improve imaging quality has already been introduced, but no studies have evaluated the effect of DLR on diffusion-weighted imaging (DWI) or intravoxel incoherent motion (IVIM) in or studies. The purpose of this study was to determine the effect of DLR for magnetic resonance imaging (MRI) in terms of image quality improvement, apparent diffusion coefficient (ADC) assessment, and IVIM index evaluation on DWI through and studies.

Methods: For the study, a phantom recommended by the Quantitative Imaging Biomarkers Alliance was scanned and reconstructed with and without DLR, and 15 patients with brain tumors with normal-appearing gray and white matter examined using IVIM and reconstructed with and without DLR were included in the study.

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Chylous leakage is a rare but serious postoperative complication of neck dissection (ND). Most chylous leakages are successfully treated either by drainage or ligation of the thoracic duct, but the resolution is occasionally prolonged. OK432 sclerotherapy is used to treat various refractory cystic diseases of the head and neck.

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  • A study compared 2D and 3D APT-weighted imaging for assessing brain tumors, involving 49 patients with various tumor types.
  • Results showed a strong correlation between the two imaging methods, with 3D providing similar or better performance in diagnosing high-grade gliomas compared to low-grade gliomas.
  • The conclusion suggests that 3D APT-weighted imaging is at least as effective as 2D and could be valuable for brain tumor evaluations.
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Purpose: Spinal bone metastases directly affect quality of life, and patients with lytic-dominant lesions are at high risk for neurological symptoms and fractures. To detect and classify lytic spinal bone metastasis using routine computed tomography (CT) scans, we developed a deep learning (DL)-based computer-aided detection (CAD) system.

Methods: We retrospectively analyzed 2125 diagnostic and radiotherapeutic CT images of 79 patients.

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  • - The study focuses on developing a deep learning (DL) model to classify bone metastasis (BM) status from radiology reports using natural language processing (NLP).
  • - The model was trained on 1,749 Japanese radiology reports and evaluated with metrics like accuracy, sensitivity, and specificity using five-fold cross-validation.
  • - The model achieved high performance, with an average accuracy of 91.2% and an AUROC of 96.8%, indicating its potential to aid in early detection of bone metastasis in patients.
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  • The study investigates the effectiveness of three imaging techniques—APTw/CEST MRI, DWI, and FDG-PET/CT—in predicting how well chemoradiotherapy (CRT) works for patients with stage III non-small cell lung cancer (NSCLC).
  • It involves 84 patients (age 57-75), who were categorized into responders and non-responders based on their cancer treatment outcomes.
  • Results showed that APTw/CEST MRI, DWI, and FDG-PET/CT had statistically significant impacts on progression-free survival (PFS) and overall survival (OS) for the patients.
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