Pub Date : 2022-12-31DOI: 10.23937/2572-3235.1510097
Wardhani Dian Kusuma, Shantiningsih Rurie Ratna, Gracea Rellyca Sola
{"title":"Radiation Protection Efforts in Restricting Exposure to Scattered Radiation Based on Room Analysis","authors":"Wardhani Dian Kusuma, Shantiningsih Rurie Ratna, Gracea Rellyca Sola","doi":"10.23937/2572-3235.1510097","DOIUrl":"https://doi.org/10.23937/2572-3235.1510097","url":null,"abstract":"","PeriodicalId":306475,"journal":{"name":"International Journal of Radiology and Imaging Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115246085","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}
Pub Date : 2022-06-30DOI: 10.23937/2572-3235.1510092
Uludag Kadir
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.
{"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":null,"pages":null},"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}
Pub Date : 2022-06-30DOI: 10.23937/2572-3235.1510091
Sangey TawfeeqI, Khan Zahra D, Hassanali Lujaina S
{"title":"Multi Imaging Modality in Diagnosis of Unusual Giant Hydronephrosis of the Non Functioning Lower Moiety in A Partial Duplex Kidney with Distal Ureteric Stricture","authors":"Sangey TawfeeqI, Khan Zahra D, Hassanali Lujaina S","doi":"10.23937/2572-3235.1510091","DOIUrl":"https://doi.org/10.23937/2572-3235.1510091","url":null,"abstract":"","PeriodicalId":306475,"journal":{"name":"International Journal of Radiology and Imaging Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124427856","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}
{"title":"Bone Mineral Density Loss Triggered by Unhealthy Dietary Habits During Growth is Promptly Detected by MS-QCT","authors":"Gubert Marcelo Joaquín, Monforte Héctor Fabián, Mandalunis Patricia Mónica, Gamba Carlota Alicia","doi":"10.23937/2572-3235.1510093","DOIUrl":"https://doi.org/10.23937/2572-3235.1510093","url":null,"abstract":"","PeriodicalId":306475,"journal":{"name":"International Journal of Radiology and Imaging Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127089345","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}
Pub Date : 2021-12-31DOI: 10.23937/2572-3235.1510082
Gumieri Dhiego Donizethe Ferreira, Marques Israel de Souza
Proper control of radiographic quality is important to guarantee the method high sensitivity and specificity, important factors for diagnostic complementation. It is the responsibility of the practitioner performing the radiological techniques to ensure that all chest radiographs are provided for minimal rotation, good radiographic exposure and adequate inspiration. This cross-sectional study retrospectively evaluated 456 chest radiographs in the poster anterior and lateral projection performed at a diagnostic center between May 2017 and September 2019. 45% had changes in technical parameters, of which 62% had positioning errors (rotation and asymmetry between the spinous process and medial extremity of the clavicles), 25% had errors in radiographic exposure (underexposure and overexposure) and 13% had inadequate respiratory maneuver. The observed results indicate significant deficiency of professionals regarding the minimum quality control required, as well as the need to implement a permanent education plan about the method.
{"title":"Evaluation of Chest X-Ray Quality Parameters","authors":"Gumieri Dhiego Donizethe Ferreira, Marques Israel de Souza","doi":"10.23937/2572-3235.1510082","DOIUrl":"https://doi.org/10.23937/2572-3235.1510082","url":null,"abstract":"Proper control of radiographic quality is important to guarantee the method high sensitivity and specificity, important factors for diagnostic complementation. It is the responsibility of the practitioner performing the radiological techniques to ensure that all chest radiographs are provided for minimal rotation, good radiographic exposure and adequate inspiration. This cross-sectional study retrospectively evaluated 456 chest radiographs in the poster anterior and lateral projection performed at a diagnostic center between May 2017 and September 2019. 45% had changes in technical parameters, of which 62% had positioning errors (rotation and asymmetry between the spinous process and medial extremity of the clavicles), 25% had errors in radiographic exposure (underexposure and overexposure) and 13% had inadequate respiratory maneuver. The observed results indicate significant deficiency of professionals regarding the minimum quality control required, as well as the need to implement a permanent education plan about the method.","PeriodicalId":306475,"journal":{"name":"International Journal of Radiology and Imaging Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129030770","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}
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.
{"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":null,"pages":null},"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}
Pub Date : 2018-12-31DOI: 10.23937/2572-3235.1510039
Dede Onur, Teke Memik, D. Mansur, Penbegül Necmettin
{"title":"Use of Acoustic Radiation Force Impulse Elastography to Discrimination Benign and Malignant Masses for Bladder","authors":"Dede Onur, Teke Memik, D. Mansur, Penbegül Necmettin","doi":"10.23937/2572-3235.1510039","DOIUrl":"https://doi.org/10.23937/2572-3235.1510039","url":null,"abstract":"","PeriodicalId":306475,"journal":{"name":"International Journal of Radiology and Imaging Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124834985","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}
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