Publications by authors named "Yuka Oshima"
Article Synopsis
- Chest MRI has shown significant academic and clinical promise, but its use in routine practice remains limited despite advances in technology.
- Organizations like the Fleischner Society and the Japanese Society of Magnetic Resonance in Medicine are advocating for increasing its use in clinical settings.
- The review highlights the effectiveness of chest MRI specifically for thoracic oncology and pulmonary vascular diseases.
[A Case of Resection of T2N0 Colon Cancer with Synchronous Solitary Lung Metastasis].
Gan To Kagaku Ryoho
January 2024
A 73-year-old man was referred to our hospital for anemia. He underwent a colonoscopy; a 15-mm Ip polyp and a 30- mm type 1 lesion were found in the sigmoid colon. Pathological examination results indicated a well-differentiated adenocarcinoma.
View Article and Find Full Text PDFArticle Synopsis
- 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.
Article Synopsis
- 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.
Article Synopsis
- An area-detector CT (ADCT) features a 320-detector row that collects isotropic volume data across a 160 mm area without needing helical scanning, useful for assessing perfusion in nodules, lymph nodes, or tumors.
- The ADCT system allows both helical and alternative scanning methods, enabling advanced imaging for body structures and potential dual-energy imaging for enhanced visualization using various contrast agents.
- This review discusses recent advancements in ADCT including methods for reducing radiation doses, evaluating pulmonary morphology, perfusion, ventilation, and biomechanical properties.
Article Synopsis
- The study aimed to compare deep learning reconstruction (DLR) with hybrid-type iterative reconstruction (IR) for improving image quality and lung texture evaluation in various CT scans (standard, reduced, ultra-low doses) for patients with pulmonary diseases.
- Using a controlled group of 40 patients, the researchers assessed the signal-to-noise ratio (SNR) and detection capabilities of lung textures from CT data reconstructed with both methods.
- The results indicated that DLR significantly outperformed hybrid-type IR in terms of SNR and detection performance, suggesting that DLR may be a better option for lung imaging.
Article Synopsis
- The study aimed to compare the effectiveness of silver and copper filters in CT scans for detecting lung nodules while minimizing radiation doses using different reconstruction techniques (FBP, hybrid IR, and DLR).
- Using a chest CT phantom, a variety of radiation doses and filter types were tested, analyzing image quality through signal-to-noise ratios (SNR) and contrast-to-noise ratios (CNR), as well as nodule detection capabilities.
- Results showed that the silver filter yielded better image quality and detection rates, especially with deep learning reconstruction, significantly outperforming the copper filter across all radiation doses tested.
Dual-energy computed tomography (DECT) can improve the differentiation of material by using two different X-ray energy spectra, and may provide new imaging techniques to diagnostic radiology to overcome the limitations of conventional CT in characterizing tissue. Some techniques have used dual-energy imaging, which mainly includes dual-sourced, rapid kVp switching, dual-layer detectors, and split-filter imaging. In iodine images, images of the lung's perfused blood volume (PBV) based on DECT have been applied in patients with pulmonary embolism to obtain both images of the PE occluding the pulmonary artery and the consequent perfusion defects in the lung's parenchyma.
View Article and Find Full Text PDFObjective: Ultra-high-resolution CT (UHR-CT), which can be applied normal resolution (NR), high-resolution (HR), and super-high-resolution (SHR) modes, has become available as in conjunction with multi-detector CT (MDCT). Moreover, deep learning reconstruction (DLR) method, as well as filtered back projection (FBP), hybrid-type iterative reconstruction (IR), and model-based IR methods, has been clinically used. The purpose of this study was to directly compare lung CT number and airway dimension evaluation capabilities of UHR-CT using different scan modes with those of MDCT with different reconstruction methods as investigated in a lung density and airway phantom design recommended by QIBA.
View Article and Find Full Text PDFBackground: Computed diffusion-weighted imaging (cDWI) is a mathematical computation technique that generates DWIs for any b-value by using actual DWI (aDWI) data with at least two different b-values and may improve differentiation of metastatic from nonmetastatic lymph nodes.
Purpose: To determine the appropriate b-value for cDWI to achieve a better diagnostic capability for lymph node staging (N-staging) in non-small cell lung cancer (NSCLC) patients compared to aDWI, short inversion time (TI) inversion recovery (STIR) imaging, or positron emission tomography with 2-[fluorine-18] fluoro-2-deoxy-d-glucose combined with computed tomography (FDG-PET/CT).
Study Type: Prospective.
Whole-body MRI and FDG PET/MRI have shown encouraging results for staging of thoracic malignancy but are poorly studied for staging of small cell lung cancer (SCLC). The purpose of our study was to compare the performance of conventional staging tests, FDG PET/CT, whole-body MRI, and FDG PET/MRI for staging of SCLC. This prospective study included 98 patients (64 men, 34 women; median age, 74 years) with SCLC who underwent conventional staging tests (brain MRI; neck, chest, and abdominopelvic CT; and bone scintigraphy), FDG PET/CT, and whole-body MRI within 2 weeks before treatment; coregistered FDG PET/MRI was generated.
View Article and Find Full Text PDFMidline extraperitoneal approach for bilateral widespread retroperitoneal abscess originating from anorectal infection.
Int J Surg Case Rep
February 2016
Article Synopsis
- Anorectal abscesses are common but can lead to serious health issues if they extend upwards, as seen in a case involving a 53-year-old woman with severe symptoms and acute kidney injury.
- Imaging revealed a large abscess affecting the retroperitoneal spaces, which required surgical drainage through a lower abdominal incision.
- The study suggests that a midline extraperitoneal approach can be an effective treatment for patients with extensive retroperitoneal abscesses, given their potential life-threatening nature.