The aim of this study was to compare the assessment of tenosynovitis by ultrasound (US) and magnetic resonance imaging (MRI) using the image fusion technique and to investigate whether US B-flow imaging (BFI) is an alternative to Doppler US when assessing tenosynovitis. 15 patients with rheumatoid arthritis (RA) had US-verified tenosynovitis in the wrist/hand. An MRI was performed of the wrist/hand with subsequent repeated US and image fusion. Images were compared in three steps: 1. Visual image comparison, 2. Quantitative measurement of transverse areas of the affected tendon and tendon sheath, using two tendon measures on MRI, area 1 and area 2, excluding and including partial volume artifacts, respectively, 3. Assessment using the OMERACT semi-quantitative scoring systems for US and MRI. Furthermore, BFI was assessed as: 0: No flow, 1: Focal flow, 2: Multifocal flow, 3: Diffuse flow, in the tendon sheath. The median areas on US and MRI (areas 1 and 2) were 0.16 cm (25;75 pctl: 0.10; 0.25), 0.9 cm (0.06; 0.18) and 0.13 cm (0.10; 0.25), respectively, for included tendons and 0.18 cm (0.13; 0.26), 0.27 cm (0.20; 0.45) and 0.23 cm (0.16; 0.40) for tendon sheaths. No statistically significant difference was found between US tendon area and MRI tendon area 2 (Wilcoxon's test; p = 0.47). Overall, the agreement between grayscale and color Doppler (CD) US and MRI tenosynovitis visualization and scoring was good, but not between CD and BFI. US and MRI have high agreement using image fusion for the assessment of tenosynovitis when partial volume artifacts are taken into account. BFI is not an alternative to CD for the measurement of slow flow in tenosynovitis.
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http://dx.doi.org/10.1055/s-0043-101228 | DOI Listing |
Eur J Nucl Med Mol Imaging
December 2024
Department of Nuclear Medicine, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu, Sichuan, 610041, China.
Purpose: Extranodal natural killer/T-cell lymphoma (ENKTCL) is an hematologic malignancy with prognostic heterogeneity. We aimed to develop and validate DeepENKTCL, an interpretable deep learning prediction system for prognosis risk stratification in ENKTCL.
Methods: A total of 562 patients from four centers were divided into the training cohort, validation cohort and test cohort.
ACS Nano
December 2024
Zhejiang Cancer Hospital, The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Nanobodies are promising for immunoPET imaging due to their excellent antigen recognition and tumor targeting, yet rapid clearance limits their tumor accumulation. Although multimerization and albumin binding can extend their circulation time and improve tumor targeting, a simple and universal method for creating protein multimers is still needed. Here, we leveraged the facile synthesis, controllable size, and precise assembly of DNA nanotechnology to construct CD47-targeted framework nucleic acid-nanobody fusion probes with multiple valences and sizes.
View Article and Find Full Text PDFCureus
November 2024
Emergency Medicine, Mayo Clinic Arizona, Phoenix, USA.
Atraumatic acute myelopathy caused by idiopathic disc herniation is rare. This case presents a 47-year-old male with a sudden onset of severe neck pain and weakness upon waking that progressively worsened. His rapidly progressive myelopathy led to an MRI of the cervical spine, revealing severe spinal canal stenosis at the C6-C7 level due to a large disc herniation deforming the spinal cord.
View Article and Find Full Text PDFAnn Surg Open
December 2024
From the Department of Visceral, Transplant, Thoracic and Vascular Surgery, Division of Hepatobiliary Surgery and Visceral Transplant Surgery, University Clinic Leipzig, Germany.
Objective: This study explored the novel application of hyperspectral imaging (HSI) for in vivo allograft perfusion assessment during liver transplantation (LT) and its potential value for predicting early allograft dysfunction (EAD), graft, and overall survival (OS).
Background: LT is a well-established therapy for acute and chronic liver diseases, with excellent outcomes. However, a significant proportion of recipients experience EAD, which affects graft and OS.
Front Plant Sci
December 2024
College of Big Data, Yunnan Agricultural University, Kunming, China.
Introduction: The assessment of the severity of fruit disease is crucial for the optimization of fruit production. By quantifying the percentage of leaf disease, an effective approach to determining the severity of the disease is available. However, the current prediction of disease degree by machine learning methods still faces challenges, including suboptimal accuracy and limited generalizability.
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