Publications by authors named "Ikedo M"

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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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  • 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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  • 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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  • 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: The purpose of this study was to determine the influenceof reverse encoding distortion correction (RDC) on ADC measurement and its efficacy for improving image quality and diagnostic performance for differentiating malignant from benign prostatic areas on prostatic DWI.

Methods: Forty suspected prostatic cancer patients underwent DWI with or without RDC (i.e.

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Purpose: To compare capabilities of compressed sensing (CS) with and without deep learning reconstruction (DLR) with those of conventional parallel imaging (PI) with and without DLR for improving examination time and image quality of shoulder MRI for patients with various shoulder diseases.

Methods And Materials: Thirty consecutive patients with suspected shoulder diseases underwent MRI at a 3 T MR system using PI and CS. All MR data was reconstructed with and without DLR.

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Objective: To compare the utility of deep learning reconstruction (DLR) for improving acquisition time, image quality, and intraductal papillary mucinous neoplasm (IPMN) evaluation for 3D MRCP obtained with parallel imaging (PI), multiple k-space data acquisition for each repetition time (TR) technique (Fast 3D mode multiple: Fast 3Dm) and compressed sensing (CS) with PI.

Materials And Methods: A total of 32 IPMN patients who had undergone 3D MRCPs obtained with PI, Fast 3Dm, and CS with PI and reconstructed with and without DLR were retrospectively included in this study. Acquisition time, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) obtained with all protocols were compared using Tukey's HSD test.

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Background Deep learning reconstruction (DLR) may improve image quality. However, its impact on diffusion-weighted imaging (DWI) of the prostate has yet to be assessed. Purpose To determine whether DLR can improve image quality of diffusion-weighted MRI at values ranging from 1000 sec/mm to 5000 sec/mm in patients with prostate cancer.

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Objectives: Immediately before the state of emergency was declared, there was an outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among special training participants with severe physical stress. For promoting the optimization of infection prevention measures by identifying acts and situations with high risk of infection, we conducted a survey and analysis to understand the detailed process of infection spread in these cases.

Methods: A structured interview was conducted for the special training participants on their health status, changes in symptoms, training methods, and behavior history in their private lives.

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Purpose: To demonstrate the utility of compressed sensing with parallel imaging (Compressed SPEEDER) and AiCE compared with that of conventional parallel imaging (SPEEDER) for shortening examination time and improving image quality of women's pelvic MRI.

Method: Thirty consecutive patients with women's pelvic diseases (mean age 50 years) underwent T2-weighted imaging using Compressed SPEEDER as well as conventional SPEEDER reconstructed with and without AiCE. The examination times were recorded, and signal-to-noise ratio (SNR) was calculated for every patient.

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The preferred sex of livestock differs among breeders; for example, dairy farmers prefer female calves for the production of milk, whereas cattle meat producers often prefer males. Sexing of laboratory animals is also beneficial in some research fields, including reproductive biology and metabolic studies. Most sexing methods separate X sperm and Y sperm with a cell sorter.

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Loop-mediated isothermal amplification (LAMP) assays targeting the rpoD and toxR genes were developed to detect Vibrio parahaemolyticus. All 78 tested V. parahaemolyticus strains yielded positive results within 40 min, while negative results were obtained for 69 strains of other organisms even at 60 min.

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A magnitude-based MR angiography method of standard time-of-flight (TOF) employing a three-dimensional gradient-echo sequence with flow rephasing is widely used. A recently proposed flow-sensitive black-blood (FSBB) method combining three-dimensional gradient-echo sequence with a flow-dephasing gradient and a hybrid technique, called hybrid of opposite-contrast, allow depiction of smaller blood vessels than does standard TOF. To further enhance imaging of smaller vessels, a new enhancement technique combining phase with magnitude is proposed.

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Disk diffusion susceptibility interpretive criteria for tebipenem against Staphylococcus spp. and Haemophilus influenzae were developed using the Clinical and Laboratory Standards Institute (CLSI) guidelines. Tebipenem was tested by disk diffusion and broth microdilution methods against 119 clinical isolates of Staphylococcus spp.

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Objective: We assessed the value of a new magnetic resonance angiography (MRA) technique named hybrid of opposite-contrast (HOP) MRA in the diagnosis of moyamoya disease.

Methods: Using a dual-echo sequence, we obtained the first echo for time-of-flight (TOF) MRA followed by the second echo for black blood MRA. We then subtracted the black blood MRA data set from that of the TOF MRA followed by maximum-intensity projection.

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Purpose: To assess the feasibility of a new MR angiography (MRA) technique named hybrid of opposite-contrast MRA (HOP MRA) that combined the time-of-flight (TOF) MRA with a flow-sensitive black-blood (FSBB) sequence in the diagnosis of major trunk stenoocclusive diseases.

Materials And Methods: On a 1.5 Tesla imager using a dual-echo three-dimensional (3D)-gradient-echo sequence, we obtained the first echo for TOF MRA followed by the second echo for FSBB.

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The present study developed a loop-mediated isothermal amplification (LAMP) assay that amplifies the fragments of O4 Salmonella enterica-specific gene rfbJ and evaluates the potential use in detection of Salmonella enterica serovar Typhimurium (ST). The detection limit of the LAMP assay was 10(3) CFU/ml, which was lower than that of the PCR assay with the same target gene (10(5) CFU/ml), confirmed by electrophoresis. The increased turbidity of the final products of LAMP was also observed with more than 10(3) CFU/ml.

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New methods were developed for the detection of koi herpesvirus (KHV, CyHV-3) by LAMP, which were compared with the PCR for specificity and sensitivity. We designed two primer sets targeting a specific sequence within the 9/5 PCR amplicon (9/5 LAMP) and the upper region of the SphI-5 PCR amplicon (SphI-5 LAMP), including a sequence highly conserved among the strains. The amplification was monitored in real-time based on the increase in turbidity, with magnesium pyrophosphate as the by-product.

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For the purpose of visualizing low-flow as well as high-flow blood vessels without using contrast agents, we propose a new technique called a hybrid of opposite-contrast MR angiography (HOP-MRA). HOP-MRA is a combination of standard time-of-flight (TOF) using a full first-order velocity-compensation for white-blood (WB) and flow-sensitive black-blood (FSBB) techniques, which use motion-probing gradients to introduce intravoxel flow dephasing. A dual-echo three-dimensional gradient echo sequence was used to reduce both imaging time and misregistration.

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