International Journal of Radiology and Imaging Technology最新文献_第2页

Radiation Protection Efforts in Restricting Exposure to Scattered Radiation Based on Room Analysis 基于室内分析的限制散射辐射暴露的辐射防护工作

International Journal of Radiology and Imaging Technology Pub Date : 2022-12-31 DOI: 10.23937/2572-3235.1510097

Wardhani Dian Kusuma, Shantiningsih Rurie Ratna, Gracea Rellyca Sola

引用次数: 0

Predicting Age Groups using Brain Imaging Quality Data 使用脑成像质量数据预测年龄组

International Journal of Radiology and Imaging Technology Pub Date : 2022-06-30 DOI: 10.23937/2572-3235.1510092

Uludag Kadir

{"title":"Predicting Age Groups using Brain Imaging Quality Data","authors":"Uludag Kadir","doi":"10.23937/2572-3235.1510092","DOIUrl":"https://doi.org/10.23937/2572-3235.1510092","url":null,"abstract":"Brain imaging quality of data is important to confirm their liability of brain imaging studies. Previous literature confirmed that some confounding factors such as movement, age, and gender may impact brain imaging quality. Automatic quality control (QC) applications may not be able to properly calculate their reliability due to confounding factors.There are a few studies on brain imaging quality data and relevant confounding factors such as age or gender. Methods: Open data from a previous study was used to conduct this study. In total 26 participants were recruited. Random Forest (RF) and Neural Networks (NN) machine learning (ML) methods were used to predict age groups (cut-off age: 16). Patients were grouped by age groups. Then, the age group was predicted with RF and NN machine learning (ML) models. Goal of study: The goal of the study was to predict age groups using brain imaging quality data. Results: We found that according to NNs, the age group was predicted with an accuracy of over 60% (accuracy: 64%, sensitivity: 50%, specificity: 71%, area under curve (AUC): 55%,). Furthermore, the RFML model found that the age group was predicted with an accuracy of 64% (sensitivity: 50%, specificity: 71%, AUC: 86.6%). Conclusion: Our study showed that age groups can be predicted using the brain imaging quality of the data. Further studies should investigate the relationship between other brain imaging parameters related to the quality of data and age.","PeriodicalId":306475,"journal":{"name":"International Journal of Radiology and Imaging Technology","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128383447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi Imaging Modality in Diagnosis of Unusual Giant Hydronephrosis of the Non Functioning Lower Moiety in A Partial Duplex Kidney with Distal Ureteric Stricture 多影像模式诊断输尿管远端狭窄的部分双肾下段无功能异常巨大肾积水

International Journal of Radiology and Imaging Technology Pub Date : 2022-06-30 DOI: 10.23937/2572-3235.1510091

Sangey TawfeeqI, Khan Zahra D, Hassanali Lujaina S

引用次数: 0

Bone Mineral Density Loss Triggered by Unhealthy Dietary Habits During Growth is Promptly Detected by MS-QCT MS-QCT可及时检测生长过程中不健康饮食习惯引发的骨密度损失

International Journal of Radiology and Imaging Technology Pub Date : 2022-06-30 DOI: 10.23937/2572-3235.1510093

Gubert Marcelo Joaquín, Monforte Héctor Fabián, Mandalunis Patricia Mónica, Gamba Carlota Alicia

引用次数: 0

Evaluation of Chest X-Ray Quality Parameters 胸片质量参数的评价

International Journal of Radiology and Imaging Technology Pub Date : 2021-12-31 DOI: 10.23937/2572-3235.1510082

Gumieri Dhiego Donizethe Ferreira, Marques Israel de Souza

引用次数: 2

Assessment of Chest X-Ray Utilization for the Evaluation of Non-Traumatic Chest Pain in an Academic Emergency Department 胸片在学术急诊科评估非外伤性胸痛的应用评估

International Journal of Radiology and Imaging Technology Pub Date : 2021-06-30 DOI: 10.23937/2572-3235.1510076

Rucker Garrett, Kalayanamitra Ricci, Gopaul Ravindra

{"title":"Assessment of Chest X-Ray Utilization for the Evaluation of Non-Traumatic Chest Pain in an Academic Emergency Department","authors":"Rucker Garrett, Kalayanamitra Ricci, Gopaul Ravindra","doi":"10.23937/2572-3235.1510076","DOIUrl":"https://doi.org/10.23937/2572-3235.1510076","url":null,"abstract":"Background: Overutilization of chest X-rays (CXR) is costly, inefficient and results in increased radiation exposure. Several studies have proposed clinical decision rules (CDR) for chest X-ray utilization in non-traumatic chest pain patients presenting to the Emergency Department (ED). However, CDRs are often not one size fits all and may differ based on population variability. The purpose of this study is to 1) Evaluate CXR utilization among ED patients suspected of acute coronary syndrome (ACS) presenting with non-traumatic chest pain and 2) Assess for factors associated with an abnormal CXR in our patient population using criteria from previously developed CDRs. Methods: We identified 14 clinical criteria from previously derived CDRs that may be predictive of an abnormal CXR. We retrospectively identified 500 patients over age 18 who presented with non-traumatic chest pain between January 2016 and December 2017. Charts were screened for 1) Whether a CXR was performed, 2) CXR results, and 3) The presence of any of the 14 clinical criteria. Results: 487 (97%) non-traumatic chest pain patients had a CXR performed. 266 (54.6%) patients with zero of the 14 risk factors had a CXR performed. Of those patients, 11 (4.1%) had an abnormality on CXR, 3 (1.1%) of which led to a change in clinical management. Absence of all 14 clinical criteria resulted in a negative predictive value (NPV) of 99%. Further analysis revealed that 9 of the 14 risk factors could be removed in our population with no change in the NPV. Conclusion: The use of the 6 risk factors from the previously developed CDRs would have reduced CXR utilization by 55% with a NPV of 99%. No single CDR perfectly fit our ED population thus demonstrating variability and need to tailor criteria to each patient population.","PeriodicalId":306475,"journal":{"name":"International Journal of Radiology and Imaging Technology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125610505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

DIBH-VMAT for Consolidation RT in Mediastinal B-NHL can Significantly Reduce Doses to OAR Report of Two Cases DIBH-VMAT用于纵隔B-NHL巩固性放疗可显著降低剂量至OAR 2例报告

International Journal of Radiology and Imaging Technology Pub Date : 2019-03-20 DOI: 10.23937/2572-3235.1510044

A. Fahrig, T. Koch, C. Heine, M. Lenhart, L. Weikersthal

引用次数: 0

Adreniform Shape of Nonadenom Surrenal Lesion: Lymphoma 非腺瘤肾外病变肾上腺样形状:淋巴瘤

International Journal of Radiology and Imaging Technology Pub Date : 2019-03-20 DOI: 10.23937/2572-3235.1510043

F. Cuce

引用次数: 0

Contemporary Management of Meningiomas with Radiosurgery 当代脑膜瘤的放射外科治疗

International Journal of Radiology and Imaging Technology Pub Date : 2018-12-31 DOI: 10.23937/2572-3235.1510041

D. Selcuk, Dincoglan Ferrat, Sager Omer, Uysal Bora, Gamsiz Hakan, O. Fatih, Dirican Bahar, Beyzadeoglu Murat

引用次数: 42

Use of Acoustic Radiation Force Impulse Elastography to Discrimination Benign and Malignant Masses for Bladder 声辐射力脉冲弹性成像鉴别膀胱良恶性肿块

International Journal of Radiology and Imaging Technology Pub Date : 2018-12-31 DOI: 10.23937/2572-3235.1510039

Dede Onur, Teke Memik, D. Mansur, Penbegül Necmettin

引用次数: 1