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Computed tomography findings of metabolic syndrome in patients with acute colonic diverticulitis
ConclusionsCT biomarkers of metabolic syndrome are commonly encountered in patients with acute diverticulitis. Recognizing and reporting these findings can guide towards further evaluation for metabolic syndrome.
Source: Journal of Medical Imaging and Radiation Oncology - February 16, 2021 Category: Radiology Authors: Mark A Anderson, Hamed Kordbacheh, Evita Joseph, Susan E Bennett, Fatima Cody Stanford, Avinash Kambadakone Tags: Medical Imaging —Original Article Source Type: research

5K + CT Images on Fractured Limbs: A Dataset for Medical Imaging Research
AbstractImaging techniques widely use Computed Tomography (CT) scans for various purposes, such as screening, diagnosis, and decision-making. Of all, it holds true for bone injuries. To build fully automated Computer-Aided Detection (CADe) and Diagnosis (CADx) tools and techniques, it requires fairly large amount of data (with gold standard). Therefore, in this paper, since state-of-the-art works relied on small dataset, we introduced a CT image dataset on limbs that is designed to understand bone injuries. Our dataset is a collection of 24 patient-specific CT cases having fractures at upper and lower limbs. From upper lim...
Source: Journal of Medical Systems - March 9, 2021 Category: Information Technology Source Type: research

Safety and utility of performing CT ‐guided biopsies of pulmonary lesions that arise after radiotherapy
This study aimed to evaluate the feasibility, safety and usefulness of performing computed tomography (CT) ‐guided biopsies of pulmonary lesions that arise after radiotherapy. Seventeen patients (14 males and 3 females; median age: 69 years, range: 48–84 years) underwent CT‐guided biopsies of pulmonary lesions that occurred in lung regions that had previously been treated with radiotherapy. Three patients underwent CT‐guided biopsies twice, and thus, the total number of procedures was 20. We reviewed the subjects’ medical records and images, and evaluated the rate for obtaining pathological diagnosis with the b...
Source: Journal of Medical Imaging and Radiation Oncology - March 18, 2021 Category: Radiology Authors: Kengo Ohta, Masashi Shimohira, Hiroyuki Ogino, Keiichi Nagai, Yusuke Sawada, Keita Nakayama, Yuta Shibamoto Tags: Medical Imaging —Technical Article Source Type: research

Multi-objective Genetic Algorithm Based Deep Learning Model for Automated COVID-19 Detection Using Medical Image Data
CONCLUSION: The experimental results prove the superiority of the proposed methodology in comparison to existing methods.The study also comprehensively compares various feature selection techniques and highlights the importance of feature selection in medical image data problems.PMID:34483791 | PMC:PMC8408308 | DOI:10.1007/s40846-021-00653-9
Source: Journal of Medical and Biological Engineering - September 6, 2021 Category: Biomedical Engineering Authors: S Bansal M Singh R K Dubey B K Panigrahi Source Type: research

Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation
Active learning is a unique abstraction of machine learning techniques where the model/algorithm could guide users for annotation of a set of data points that would be beneficial to the model, unlike passive machine learning. The primary advantage being that active learning frameworks select data points that can accelerate the learning process of a model and can reduce the amount of data needed to achieve full accuracy as compared to a model trained on a randomly acquired data set. Multiple frameworks for active learning combined with deep learning have been proposed, and the majority of them are dedicated to classificatio...
Source: IEE Transactions on Medical Imaging - October 1, 2021 Category: Biomedical Engineering Source Type: research

Dark-field computed tomography reaches the human scale Medical Sciences
X-ray computed tomography (CT) is one of the most commonly used three-dimensional medical imaging modalities today. It has been refined over several decades, with the most recent innovations including dual-energy and spectral photon-counting technologies. Nevertheless, it has been discovered that wave-optical contrast mechanisms—beyond the presently used X-ray attenuation—offer the potential...
Source: Proceedings of the National Academy of Sciences - February 7, 2022 Category: Science Authors: Manuel Viermetz, Nikolai Gustschin, Clemens Schmid, Jakob Haeusele, Maximilian von Teuffenbach, Pascal Meyer, Frank Bergner, Tobias Lasser, Roland Proksa, Thomas Koehler, Franz Pfeiffer Tags: Applied Physical Sciences, Medical Sciences Source Type: research

Evaluation of Protective Barriers of CT Scan Room at a Medical College, Chitwan, Nepal
CT scan room is a radiation working area. The Increasing workload in CT is subsequently increasing the risk of radiation hazards to the persons working around. We aim to evaluate protective barriers in the CT scan room at a Medical college, in Chitwan, Nepal.
Source: Journal of Medical Imaging and Radiation Sciences - December 1, 2022 Category: Radiology Authors: S Gupta, U Poudel, S Maharjan Source Type: research

Self-Supervised Learning for Non-Rigid Registration Between Near-Isometric 3D Surfaces in Medical Imaging
In this study, we show that it is possible to use neural networks to learn general embeddings from 3D shapes in a self-supervised way. The learned features are multiscale, informative, and discriminative, which might potentially benefit almost all types of morphology-related downstream tasks, such as diagnostics, data screening and statistical shape analysis in future.
Source: IEE Transactions on Medical Imaging - February 1, 2023 Category: Biomedical Engineering Source Type: research

Chasing Zero Harm in Radiation Oncology: Using Pre-treatment Peer Review
Conclusions: Catching errors prior to treatment is the only way to “chase zero” in radiation oncology. Various types of errors may exist in treatment plans and our GCPR model succeeds in preventing many errors of all shapes and sizes in target definition, dose prescriptions, and treatment plans from ever reaching the patients. Background and Introduction Since the release of the seminal report from the Institute of Medicine (IOM) titled, “To Err is Human,” in 1999, the importance of patient safety and avoiding medical errors have been recognized and endorsed by the physician communit...
Source: Frontiers in Oncology - April 23, 2019 Category: Cancer & Oncology Source Type: research

Infection prevention and control in the medical imaging environment: a scoping review
The objective of this scoping review was to synthesise information about current research in MID regarding IPC and to use the Systems Engineering Initiative for Patient Safety (SEIPS) model to identify the work system factors ( ‘persons’, ‘organisation’, ‘tools and technology’, ‘tasks’ and ‘environment’) influencing the practice of IPC, in order to better understand challenges and facilitators that affect IPC in MID. Predefined search terms and medical subject headings relating to IPC in the medical ima ging setting were used to search 3 databases. A total of 46 publications met the inclusion criteria, ...
Source: Insights into Imaging - July 14, 2023 Category: Radiology Source Type: research

How a tertiary medical nuclear medicine department at the Himalayan area in India can be established and function in an exemplary manner. Basic rules revisited.
CONCLUSION: Our nuclear medicine department in a peripheral region of a developing country applied better logistics by procuring new generator every fortnight, fractionating the cold kits and by organizing complete teaching programmes. PMID: 26637505 [PubMed - in process]
Source: Hellenic Journal of Nuclear Medicine - December 11, 2015 Category: Nuclear Medicine Tags: Hell J Nucl Med Source Type: research

An Overview of 3-D Printing for Medical Applications
CONCLUSION: Radiology departments are becoming vital components of 3-D printing in health care by providing computed tomography or magnetic resonance imaging data sets to designate anatomical structures for 3-D fabrication. 3-D medical printing programs in hospital settings might be limited to larger facilities because of associated start-up costs. However, as competition in the 3-D market increases, costs are expected to decline, which will help reduce barriers to 3-D printing across the health care community.PMID:35260484
Source: Radiologic Technology - March 9, 2022 Category: Radiology Authors: Kathryn Faith Lambert Mackenzie Whitehead Madison Betz Jody Nutt Cheryl Dubose Source Type: research