In some types of magnetic resonance (MR) imaging, particularly functional brain scans, the conventional Fourier model for measurements is inaccurate. Magnetic field inhomogeneities, which are caused by imperfect main fields and susceptibility variations, induce distortions in images that reconstructed methods. These artifacts hamper use MR imaging (fMRI) regions near air/tissue interfaces. Recently, iterative methods combine conjugate gradient (CG) algorithm with nonuniform FFT (NUFFT)...

The purpose of this study was to evaluate the prognostic implication findings intratumoral metabolic heterogeneity on pretreatment 18F-FDG PET/CT scans in patients with invasive ductal carcinoma (IDC) breast. One hundred and twenty-three female IDC who underwent 18F-fluorodeoxyglucose positron-emission tomography/computed tomography (18F-FDG PET/CT) were retrospectively evaluated study. factor (HF) defined as derivative (dV/dT) a volume threshold function from 40% 80%, computed for each...

The development of highly sensitive, stable, and biocompatible imaging agents allowing visualization dendritic cell (DC) migration is one the essential factors for effective DC-based immunotherapy. Here, we used a novel efficient synthesis approach to develop radioiodine-124-labeled tannic acid gold core–shell nanoparticles (124I-TA-Au@AuNPs) DC labeling in vivo tracking their using positron emission tomography (PET). 124I-TA-Au@AuNPs were produced within 40 min high yield via...

To compare pars plana vitrectomy (PPV) with PPV combined scleral buckle (PPV/SB) in the treatment of primary, noncomplex rhegmatogenous retinal detachment an academic setting.Retrospective review 74 consecutive cases that underwent either or PPV/SB for primary at New York Presbyterian Hospital, Weill Cornell Medical College. Fifty-two eyes alone while 22 had SB. All a minimum 2 months follow-up. The main outcome measure was single surgery anatomical success.Patients group were less likely to...

Abstract Background Introducing deep learning approach to medical images has rendered a large amount of un-decoded information into usage in clinical research. But mostly, it been focusing on the performance prediction modeling for disease-related entity, but not implication feature itself. Here we analyzed liver imaging features abdominal CT collected from 2019 patients with stage I – III colorectal cancer (CRC) using convolutional neural network (CNN) elucidate its oncological...

This study was performed to evaluate the prognostic relevance of metabolic tumor volume (MTV) and total lesion glycolysis (TLG) measured using F FDG PET/CT in patients with primary cutaneous malignant melanoma (CMM).We conducted a retrospective review (July 2005 November 2010) 41 histological diagnosis CMM who underwent pretreatment PET/CT. PET parameters (maximum standardized uptake value [SUVmax], MTV, TLG) were measured. Clinical variables such as age, sex, clinical stage, location...

Background The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome 2 (SARS-CoV-2) is still continuing worldwide. Currently, two mRNA-based vaccines and DNA using an adenovirus vector are representative vaccines. Since SARS-CoV-2 began to be administered, a significant decrease in new infections COVID-19-associated death has been reported. However, various adverse events from mild symptoms have also described after vaccination.

Abstract T ‐weighted functional MR images suffer from signal loss artifacts caused by the magnetic susceptibility differences between air cavities and brain tissues. We propose a novel spectral‐spatial pulse design that is slice‐selective capable of mitigating loss. The two‐dimensional spectral–spatial pulses create precompensatory phase variations counteract through‐plane dephasing, relying on assumption resonance frequency offset field gradient are spatially correlated. can be precomputed...

Purpose Based on the possibility that early-phase florbetaben (E-FBB) brain PET can be a surrogate for perfusion imaging, we conducted this study to investigate clinical utility of E-FBB instead 18 F-FDG PET. Materials and Methods This prospective included 35 patients with suspicion cognitive decline or dementia 5 healthy controls. Brain MRI, PET, late-phase FBB FDG were acquired. The regional SUV ratios (SUVRs) calculated by cortical surface region interest analysis using individual...

Primary meningeal melanomatosis is a rare, aggressive variant of primary malignant melanoma the central nervous system, which arises from melanocytes within leptomeninges and carries poor prognosis.We report case in 17-year-old man, was diagnosed with 18 F-fluorodeoxyglucose (F-18 FDG) PET/CT, post hoc F-18 FDG PET/MRI fusion images.Whole-body PET/CT helpful ruling out extracranial origin lesions, assessing therapeutic response.Post images facilitated correlation between PET MRI demonstrated...

Background: The aim of this study was to evaluate the prognostic implication asphericity (ASP); spatial irregularity; pretherapeutic 18F 2-deoxy-2-fluoro-D-glucose (18F FDG) tumor uptake in patients with invasive ductal carcinoma (IDC) breast. Methods: One hundred thirty-one female IDC (mean age = 48.1 ± 10.4 years), pathological size greater than 2 cm were retrospectively evaluated using FDG positron emission tomography/computed tomography (PET/CT). ASP distribution calculated on basis...

Purpose This study aimed to develop a novel quantification method for intratumoral metabolic macroheterogeneity (IMMH) on 18F-FDG PET/CT and evaluate its prognostic significance in pathologic N0 (pN0) squamous cell lung carcinoma (SQCLC) patients. Patients Methods A total of 83 patients who underwent pretreatment were diagnosed with pN0 SQCLC after curative surgery examined. tumor measuring greater than 2 cm included. Metabolic parameters (SUVmax, volume, lesion glycolysis) the primary...

Deep segmentation networks generally consist of an encoder to extract features from input image and a decoder restore them the original size produce results. In ideal setting, trained should possess semantic embedding capability, which maps pair close each other when they belong same class, distantly if correspond different classes. Recent deep do not directly deal with behavior encoder. Accordingly, we cannot expect that embedded by will have property. If model can be ability, it further...

Chronic periodontitis and tooth loss contribute to cognitive decline. Since many biological processes are shared by of teeth pulps, this study investigated the potential association between pulp development dementia. A retrospective cohort analysis was conducted investigate dental treatment The records during 10 years prior first diagnosis dementia were extracted from Elderly Cohort Database National Health Information Sharing Service Korea. independence compared number pulps or removed...

H and the 31 P surface coils were designed to acquire signals from mouse tumors. Two positioned orthogonally for geometric decoupling. The pH values of various phantoms calculated using 1 decoupled MR spectrum with Henderson-Hasselbalch equation. value was compared that a meter. Results: mutual coil coupling shown in standard S12. Coil (S12) -73.0 -62.3 ㏈ respectively. signal-to-noise ratio (SNR) obtained homogeneous phantom

Fine-grained image recognition aims to classify fine subcategories belonging the same parent category, such as vehicle model or bird species classification. This is an inherently challenging task because a classifier must capture subtle interclass differences under large intraclass variances. Most previous approaches are based on supervised learning, which requires large-scale labeled dataset. However, annotated datasets for fine-grained difficult collect they generally require domain...