The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
Fábio-ramôa Pires - One of the best experts on this subject based on the ideXlab platform.
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Clinical and Radiological analysis of a series of periapical cysts and periapical granulomas diagnosed in a Brazilian population.
Journal of clinical and experimental dentistry, 2017Co-Authors: Daniel-petitet Tavares, Janderson-teixeira Rodrigues, Luciana Armada, Teresa-cristina-ribeiro-bartholomeu Dos Santos, Fábio-ramôa PiresAbstract:Periapical cysts (PC) and periapical granulomas (PG) are the two most common chronic inflammatory periapical diseases, but their clinicoRadiological characteristics can vary depending on the methods employed in each study. The aim of the present work was to analyze the clinical and Radiological profile of a series of PC and PG diagnosed in a Brazilian population. The files of two Oral Pathology laboratories were reviewed and all cases diagnosed as PG and PC were selected for the study. Clinical and Radiological Information were retrieved and data were tabulated and descriptively and comparatively analyzed. Final sample was composed by 647 inflammatory periapical lesions, including 244 PG (38%) and 403 PC (62%). The number of women affected by PG was significantly higher than the number of women affected by PC (p=0.037). Anterior region of the maxilla was the most common affected area for both entities (39% of the cases), but the most common anatomical location of PG (anterior maxilla and posterior maxilla) was different from PC (anterior maxilla and posterior mandible) (p<0.0001). Upper lateral incisor was the most affected tooth. The mean Radiological size of the PC was larger than the mean Radiological size of the PG (p<0.0001) and PC showed well-defined Radiological images more frequently than PG (p<0.0001). PC were more common than PG, both showed predilection for adult females, most lesions affected predominantly the anterior maxilla and PC presented larger mean Radiological diameter and well-defined images when compared with PG. Key words:Periapical granuloma, periapical cyst, radicular cyst, diagnosis, Oral Pathology.
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Clinical and Radiological analysis of a series of periapical cysts and periapical granulomas diagnosed in a Brazilian population.
Journal of Clinical and Experimental Dentistry, 2016Co-Authors: Daniel-petitet Tavares, Janderson-teixeira Rodrigues, Teresa-cristina-ribeiro-bartholomeu Dos Santos, Luciana Armada, Fábio-ramôa PiresAbstract:BACKGROUND Periapical cysts (PC) and periapical granulomas (PG) are the two most common chronic inflammatory periapical diseases, but their clinicoRadiological characteristics can vary depending on the methods employed in each study. The aim of the present work was to analyze the clinical and Radiological profile of a series of PC and PG diagnosed in a Brazilian population. MATERIAL AND METHODS The files of two Oral Pathology laboratories were reviewed and all cases diagnosed as PG and PC were selected for the study. Clinical and Radiological Information were retrieved and data were tabulated and descriptively and comparatively analyzed. RESULTS Final sample was composed by 647 inflammatory periapical lesions, including 244 PG (38%) and 403 PC (62%). The number of women affected by PG was significantly higher than the number of women affected by PC (p=0.037). Anterior region of the maxilla was the most common affected area for both entities (39% of the cases), but the most common anatomical location of PG (anterior maxilla and posterior maxilla) was different from PC (anterior maxilla and posterior mandible) (p
Valdair Francisco Muglia - One of the best experts on this subject based on the ideXlab platform.
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Radiological reports: a comparison between the transmission efficiency of Information in free text and in structured reports
Clinics, 2010Co-Authors: Flavio Barbosa, Elizabeth Melmi Vieira, Paulo M. De Azevedo Marques, Jorge Elias, Léa Maria Zanini Maciel, Valdair Francisco MugliaAbstract:INTRODUCTION: This work proposes to improve the transmission of Information between requiring physicians and radiologists.\n\nOBJECTIVES: Evaluate the implementation of a structured report (SR) in a university hospital.\n\nMETHODS: A model of a structured report for thyroid sonography was developed according to Information gathered from radiologists and endocrinologists working in this field. The report was based on a web platform and installed as a part of a Radiological Information System (RIS) and a Hospital Information System (HIS). The time for the report generation under the two forms was evaluated over a four-month period, two months for each method. After this period, radiologists and requiring physicians were questioned about the two methods of reporting.\n\nRESULTS: For free text, 98 sonograms were reported to have thyroids with nodules in an average time of 8.71 (+/-4.11) minutes, and 59 sonograms of thyroids without nodules were reported in an average time of 4.54 (+/- 3.97) minutes. For SR, 73 sonograms in an average time of 6.08 (+/-3.8) minutes for thyroids with nodules and 3.67 (+/-2.51) minutes for thyroids without nodules. Most of the radiologists (76.2%) preferred the SR, as originally created or with suggested changes. Among endocrinologists, 80% preferred the SR.\n\nDISCUSSION: From the requiring physicians' perspective, the SR enabled standardization and improved Information transmission. This Information is valuable because physicians need reports prepared by radiologists.\n\nCONCLUSIONS: The implementation of a SR in a university hospital, under an RIS/HIS system, was viable. Radiologists and endocrinologists preferred the SR when compared to free text, and both agreed that the former improved the transmission of Information.
Peter Wiklund - One of the best experts on this subject based on the ideXlab platform.
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comparison of 3d printed prostate models with standard Radiological Information to aid understanding of the precise location of prostate cancer a construct validation study
PLOS ONE, 2018Co-Authors: J Ebbing, Fredrik Jaderling, Justin W Collins, Olof Akre, Stefan Carlsson, Jonas Hoijer, Mats Olsson, Peter WiklundAbstract:Background To investigate the reliability with which healthcare professionals with different levels of expertise are able to impart the exact location of prostate cancer (PCA) after (A) reading written magnetic resonance imaging (MRI) reports, (B) attending MRI presentations in multidisciplinary team meetings (MDT), and (C) examining 3D printed prostate models, which represents a new technology to describe the location of PCA lesions. Methods We used three different PCA cases to assess the three Information tools. Construct validation was performed using two healthcare groups with different levels of expertise: (1) Nine expert urologists in PCA, and (2) nine medical students. After each Information tool, the study participants plotted the tumor location in a 2-dimensional prostate diagram. A scoring system was established to evaluate the drawings in terms of accuracy of plotting tumor position. Data are shown as median scores with interquartile range. Results Within the expert group, no significant difference was seen in the overall scoring results between the Information tools (p = 0.34). Medical students performed significantly worse with MDT Information (p = 0.03). Experts performed better in all three Information tools compared to students, resulting in a significantly 25% higher overall total score (25.0[22.3–26.7] vs. 20.0[15.0–24.0], p<0.001). The difference was largest after MDT Information, with experts showing a 49% better scoring (p<0.001), and second largest with the 3D printed models, showing a 17% better scoring of the experts (p = 0.07). No difference was found in the written MRI report scoring results between experts and students. Conclusions 3D printed models provided better orientation guide to medical students compared to MDT MRI presentations. This indicates that the 3D printed models might be easier to understand than the current gold standard MDT conferences. Therefore, 3D models may play an increasingly important role in providing guidance for orientation for less experienced individuals, such as surgical trainees.
Melvyn Carroll - One of the best experts on this subject based on the ideXlab platform.
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fully automated nuclear medicine dosimetry and quality assurance system through data mining of Radiological Information systems ris records
The Journal of Nuclear Medicine, 2013Co-Authors: Melvyn CarrollAbstract:1025 Objectives To implement a data mining program in Python to create and maintain a patient specific radiation exposure database, audit compliance with national legislation and to monitor the impact of dose reduction technologies such as resolution recovery based imaging. Methods The National Health System in the UK has instigated a National Interim Clinical Imaging Procedures (NICIP) Code set. The NICIP code set is a comprehensive national standard set of codes and descriptions for imaging procedures . It is intended for use in all imaging department Information systems. For each procedure in nuclear medicine there exists a NCIP code, for example NCPSMO represents Tc99m labelled MIBI myocardial perfusion stress test. Each patient’s RIS record includes the NCIP code for each nuclear medicine procedure they have undergone , the associated isotope and the measured injected dose which determines the patient radiation dose.. .This Information is independent of the patient’s report and hence does not require any text recognition of patient test reports. Each NCIP code is used to index the corresponding radiopharmaceutical tabulated organ dose estimates obtainable from the US Department of Health and Human Services and the resulting radiation dose is calculated. Results Patient data for 5 years representing 50,000 nuclear medicine procedures were used to populate a SQlite data base. Example dose administration population statistics were generated for Tc99m bone scans and for F18 Fluoride PET bone scans which represent a current change in clinical practice and also display compliance with current limits on injected activities for these tests. Conclusions Large scale dosimetry and l compliance monitoring is entirely practicable based on current RIS and national codes for nuclear medicine procedures. Such a database can provide evidence based on changes in patient dose for the efficacy of dose reduction techniques e.g. resolution recovery and the impact of changing clinical practice from conventional nuclear medicine to PET.
Olof Akre - One of the best experts on this subject based on the ideXlab platform.
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comparison of 3d printed prostate models with standard Radiological Information to aid understanding of the precise location of prostate cancer a construct validation study
PLOS ONE, 2018Co-Authors: J Ebbing, Fredrik Jaderling, Justin W Collins, Olof Akre, Stefan Carlsson, Jonas Hoijer, Mats Olsson, Peter WiklundAbstract:Background To investigate the reliability with which healthcare professionals with different levels of expertise are able to impart the exact location of prostate cancer (PCA) after (A) reading written magnetic resonance imaging (MRI) reports, (B) attending MRI presentations in multidisciplinary team meetings (MDT), and (C) examining 3D printed prostate models, which represents a new technology to describe the location of PCA lesions. Methods We used three different PCA cases to assess the three Information tools. Construct validation was performed using two healthcare groups with different levels of expertise: (1) Nine expert urologists in PCA, and (2) nine medical students. After each Information tool, the study participants plotted the tumor location in a 2-dimensional prostate diagram. A scoring system was established to evaluate the drawings in terms of accuracy of plotting tumor position. Data are shown as median scores with interquartile range. Results Within the expert group, no significant difference was seen in the overall scoring results between the Information tools (p = 0.34). Medical students performed significantly worse with MDT Information (p = 0.03). Experts performed better in all three Information tools compared to students, resulting in a significantly 25% higher overall total score (25.0[22.3–26.7] vs. 20.0[15.0–24.0], p<0.001). The difference was largest after MDT Information, with experts showing a 49% better scoring (p<0.001), and second largest with the 3D printed models, showing a 17% better scoring of the experts (p = 0.07). No difference was found in the written MRI report scoring results between experts and students. Conclusions 3D printed models provided better orientation guide to medical students compared to MDT MRI presentations. This indicates that the 3D printed models might be easier to understand than the current gold standard MDT conferences. Therefore, 3D models may play an increasingly important role in providing guidance for orientation for less experienced individuals, such as surgical trainees.
