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Krueger D, Tanner SB, Szalat A, Malabanan A, Prout T, Lau A, Rosen HN, Shuhart C. DXA Reporting Updates: 2023 Official Positions of the International Society for Clinical Densitometry. J Clin Densitom 2024; 27:101437. [PMID: 38011777 DOI: 10.1016/j.jocd.2023.101437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
INTRODUCTION Professional guidance and standards assist radiologic interpreters in generating high quality reports. Initially DXA reporting Official Positions were provided by the ISCD in 2003; however, as the field has progressed, some of the current recommendations require revision and updating. This manuscript details the research approach and provides updated DXA reporting guidance. METHODS Key Questions were proposed by ISCD established protocols and approved by the Position Development Conference Steering Committee. Literature related to each question was accumulated by searching PubMed, and existing guidelines from other organizations were extracted from websites. Modifications and additions to the ISCD Official Positions were determined by an expert panel after reviewing the Task Force proposals and position papers. RESULTS Since most DXA is now performed in radiology departments, an approach was endorsed that better aligns with standard radiologic reports. To achieve this, reporting elements were divided into required minimum or optional. Collectively, required components comprise a standard diagnostic report and are considered the minimum necessary to generate an acceptable report. Additional elements were retained and categorized as optional. These optional components were considered relevant but tailored to a consultative, clinically oriented report. Although this information is beneficial, not all interpreters have access to sufficient clinical information, or may not have the clinical expertise to expand beyond a diagnostic report. Consequently, these are not required for an acceptable report. CONCLUSION These updated ISCD positions conform with the DXA field's evolution over the past 20 years. Specifically, a basic diagnostic report better aligns with radiology standards, and additional elements (which are valued by treating clinicians) remain acceptable but are optional and not required. Additionally, reporting guidance for newer elements such as fracture risk assessment are incorporated. It is our expectation that these updated Official Positions will improve compliance with required standards and generate high quality DXA reports that are valuable to the recipient clinician and contribute to best patient care.
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Affiliation(s)
- Diane Krueger
- School of Medicine and Public Health, Osteoporosis Clinical Research Program, University of Wisconsin-Madison, Madison, WI, USA.
| | - S Bobo Tanner
- Department of Medicine, Divisions of Rheumatology, Allergy & Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Auryan Szalat
- Osteoporosis Center, Internal Medicine Ward, Hadassah Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Alan Malabanan
- Bone Health Clinic, Boston Medical Center, Boston, MA, USA
| | - Tyler Prout
- Radiology Department, University of Wisconsin, Madison, WI, USA
| | - Adrian Lau
- Division of Endocrinology and Metabolism, Department of Medicine, Women's College Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Harold N Rosen
- Osteoporosis Prevention and Treatment Center, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Christopher Shuhart
- Bone Health and Osteoporosis Center, Swedish Medical Group, Seattle, WA, USA
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Structured reporting of computed tomography in the polytrauma patient assessment: a Delphi consensus proposal. LA RADIOLOGIA MEDICA 2023; 128:222-233. [PMID: 36658367 PMCID: PMC9938818 DOI: 10.1007/s11547-023-01596-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 01/10/2023] [Indexed: 01/21/2023]
Abstract
OBJECTIVES To develop a structured reporting (SR) template for whole-body CT examinations of polytrauma patients, based on the consensus of a panel of emergency radiology experts from the Italian Society of Medical and Interventional Radiology. METHODS A multi-round Delphi method was used to quantify inter-panelist agreement for all SR sections. Internal consistency for each section and quality analysis in terms of average inter-item correlation were evaluated by means of the Cronbach's alpha (Cα) correlation coefficient. RESULTS The final SR form included 118 items (6 in the "Patient Clinical Data" section, 4 in the "Clinical Evaluation" section, 9 in the "Imaging Protocol" section, and 99 in the "Report" section). The experts' overall mean score and sum of scores were 4.77 (range 1-5) and 257.56 (range 206-270) in the first Delphi round, and 4.96 (range 4-5) and 208.44 (range 200-210) in the second round, respectively. In the second Delphi round, the experts' overall mean score was higher than in the first round, and standard deviation was lower (3.11 in the second round vs 19.71 in the first round), reflecting a higher expert agreement in the second round. Moreover, Cα was higher in the second round than in the first round (0.97 vs 0.87). CONCLUSIONS Our SR template for whole-body CT examinations of polytrauma patients is based on a strong agreement among panel experts in emergency radiology and could improve communication between radiologists and the trauma team.
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Ernst BP, Dörsching C, Bozzato A, Gabrielpillai J, Becker S, Froelich MF, Kramer B, Sproll C, Schapher M, Goncalves M, Mansour N, Hofauer B, Sommer WH, von Scotti F, Weimer JM, Künzel J. Structured Reporting of Head and Neck Sonography Achieves Substantial Interrater Reliability. Ultrasound Int Open 2023; 9:E26-E32. [PMID: 37808417 PMCID: PMC10556873 DOI: 10.1055/a-2173-3966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 08/14/2023] [Indexed: 10/10/2023] Open
Abstract
Purpose Ultrasound examinations are often criticized for having higher examiner dependency compared to other imaging techniques. Compared to free-text reporting, structured reporting (SR) of head and neck sonography (HNS) achieves superior time efficiency as well as report quality. However, there are no findings concerning the influence of SR on the interrater reliability (IRR) of HNS. Materials and Methods Typical pathologies (n=4) in HNS were documented by video/images by two certified head and neck ultrasound instructors. Consequently, structured reports of these videos/images were created by n=9 senior physicians at departments of otolaryngology or maxillofacial surgery with DEGUM instructors on staff. Reports (n=36) were evaluated regarding overall completeness and IRR. Additionally, user satisfaction was assessed by a visual analog scale (VAS). Results SR yielded very high report completeness (91.8%) in all four cases with a substantial IRR (Fleiss' κ 0.73). Interrater agreement was high at 87.2% with very good user satisfaction (VAS 8.6). Conclusion SR has the potential to ensure high-quality examination reports with substantial comparability and very high user satisfaction. Furthermore, big data collection and analysis are facilitated by SR. Therefore, process quality, workflow, and scientific output are potentially enhanced by SR.
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Affiliation(s)
| | - Carla Dörsching
- Department of Otorhinolaryngology, University Medical Center Bonn,
Bonn, Germany
| | - Alessandro Bozzato
- Department of Otorhinolaryngology, Head & Neck Surgery,
Saarland University Hospital and Saarland University Faculty of Medicine,
Homburg, Germany
| | - Jennis Gabrielpillai
- Department of Otorhinolaryngology, University Medical Center Bonn,
Bonn, Germany
| | - Sven Becker
- Department of Otorhinolaryngology, Head and Neck Surgery, University of
Tübingen Medical Center, Tuebingen, Germany
| | - Matthias Frank Froelich
- Department of Radiology and Nuclear Medicine, University Medical Centre
Mannheim, Mannheim, Germany
| | - Benedikt Kramer
- Department of Otorhinolaryngology, Head and Neck Surgery, University
Medical Centre Mannheim, Mannheim, Germany
| | - Christoph Sproll
- Department of Oral and Maxillofacial Surgery, Medical Faculty and
University Hospital Düsseldorf, Duesseldorf, Germany
| | - Mirco Schapher
- Department of Otorhinolaryngology, Head and Neck Surgery, Paracelsus
Medical University, Nuremberg, Germany
| | - Miguel Goncalves
- Department of Otorhinolaryngology, Plastic Head and Neck Surgery, RWTH
Aachen University Hospital, Aachen, Germany
| | - Naglaa Mansour
- Department of Otorhinolaryngology, University Medical Center Freiburg,
Freiburg, Germany
| | - Benedikt Hofauer
- Department of Otorhinolaryngology, Head and Neck Surgery, Technical
University of Munich Hospital Rechts der Isar, Munich, Germany
| | - Wieland H Sommer
- Department of Radiology, LMU University Hospital, Munich,
Germany
| | - Felix von Scotti
- Ultrasound Division, Otorhinolaryngology Center Münsterland,
Münster, Germany
| | - Johannes Matthias Weimer
- Rudolf-Frey Teaching Department, University Medical Center of the
Johannes Gutenberg University Mainz, Mainz, Germany
| | - Julian Künzel
- Department of Otorhinolaryngology, Universitätsklinikum
Regensburg, Regensburg, Germany
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Structured Reporting in Radiological Settings: Pitfalls and Perspectives. J Pers Med 2022; 12:jpm12081344. [PMID: 36013293 PMCID: PMC9409900 DOI: 10.3390/jpm12081344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/08/2022] [Accepted: 08/17/2022] [Indexed: 12/01/2022] Open
Abstract
Objective: The aim of this manuscript is to give an overview of structured reporting in radiological settings. Materials and Method: This article is a narrative review on structured reporting in radiological settings. Particularly, limitations and future perspectives are analyzed. RESULTS: The radiological report is a communication tool for the referring physician and the patients. It was conceived as a free text report (FTR) to allow radiologists to have their own individuality in the description of the radiological findings. However, this form could suffer from content, style, and presentation discrepancies, with a probability of transferring incorrect radiological data. Quality, datafication/quantification, and accessibility represent the three main goals in moving from FTRs to structured reports (SRs). In fact, the quality is related to standardization, which aims to improve communication and clarification. Moreover, a “structured” checklist, which allows all the fundamental items for a particular radiological study to be reported and permits the connection of the radiological data with clinical features, allowing a personalized medicine. With regard to accessibility, since radiological reports can be considered a source of research data, SR allows data mining to obtain new biomarkers and to help the development of new application domains, especially in the field of radiomics. Conclusions: Structured reporting could eliminate radiologist individuality, allowing a standardized approach.
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Structured reporting of x-ray mammography in the first diagnosis of breast cancer: a Delphi consensus proposal. Radiol Med 2022; 127:471-483. [PMID: 35303247 PMCID: PMC9098566 DOI: 10.1007/s11547-022-01478-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 02/25/2022] [Indexed: 11/05/2022]
Abstract
Background Radiology is an essential tool in the management of a patient. The aim of this manuscript was to build structured report (SR) Mammography based in Breast Cancer. Methods A working team of 16 experts (group A) was composed to create a SR for Mammography Breast Cancer. A further working group of 4 experts (group B), blinded to the activities of the group A, was composed to assess the quality and clinical usefulness of the SR final draft. Modified Delphi process was used to assess level of agreement for all report sections. Cronbach’s alpha (Cα) correlation coefficient was used to assess internal consistency and to measure quality analysis according to the average inter-item correlation.
Results The final SR version was built by including n = 2 items in Personal Data, n = 4 items in Setting, n = 2 items in Comparison with previous breast examination, n = 19 items in Anamnesis and clinical context; n = 10 items in Technique; n = 1 item in Radiation dose; n = 5 items Parenchymal pattern; n = 28 items in Description of the finding; n = 12 items in Diagnostic categories and Report and n = 1 item in Conclusions. The overall mean score of the experts and the sum of score for structured report were 4.9 and 807 in the second round. The Cronbach’s alpha (Cα) correlation coefficient was 0.82 in the second round. About the quality evaluation, the overall mean score of the experts was 3.3. The Cronbach’s alpha (Cα) correlation coefficient was 0.90.
Conclusions Structured reporting improves the quality, clarity and reproducibility of reports across departments, cities, countries and internationally and will assist patient management and improve breast health care and facilitate research.
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Kotter E, Pinto Dos Santos D. [Structured reporting in radiology : German and European radiology societies' point of view]. Radiologe 2021; 61:979-985. [PMID: 34661685 PMCID: PMC8521492 DOI: 10.1007/s00117-021-00921-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/15/2021] [Indexed: 11/25/2022]
Abstract
Zahlreiche Publikationen belegen den herausragenden Wert einer strukturierten Befundung sowohl für die Kommunikation mit zuweisenden klinischen Kollegen als auch für die Weiterverwendung der Befunddaten in anderen Kontexten. Obwohl das Thema bereits seit vielen Jahren in der Radiologie bekannt ist, hat sich die strukturierte Befundung noch nicht flächendeckend in der klinischen Routine etablieren können. Alle größeren radiologischen Fachgesellschaften haben sich klar für die strukturierte Befundung ausgesprochen und verfolgen etliche Initiativen auf diesem Gebiet. Dazu zählt der Aufbau frei zugänglicher Sammlungen von Befundvorlagen und die Qualitätssicherung derselben sowie die Pflege und Entwicklung standardisierter Begriffslexika. Im vorliegenden Artikel werden insbesondere die Aktivitäten der Deutschen Röntgengesellschaft und der European Society of Radiology dargestellt sowie ein kurzer Überblick über Vor- und Nachteile und verfügbare Ressourcen gegeben.
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Affiliation(s)
- Elmar Kotter
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Freiburg, Hugstetter Str. 55, 79106, Freiburg, Deutschland.
| | - Daniel Pinto Dos Santos
- Institut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 50937, Köln, Deutschland.
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Jungmann F, Arnhold G, Kämpgen B, Jorg T, Düber C, Mildenberger P, Kloeckner R. A Hybrid Reporting Platform for Extended RadLex Coding Combining Structured Reporting Templates and Natural Language Processing. J Digit Imaging 2021; 33:1026-1033. [PMID: 32318897 DOI: 10.1007/s10278-020-00342-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Structured reporting is a favorable and sustainable form of reporting in radiology. Among its advantages are better presentation, clearer nomenclature, and higher quality. By using MRRT-compliant templates, the content of the categorized items (e.g., select fields) can be automatically stored in a database, which allows further research and quality analytics based on established ontologies like RadLex® linked to the items. Additionally, it is relevant to provide free-text input for descriptions of findings and impressions in complex imaging studies or for the information included with the clinical referral. So far, however, this unstructured content cannot be categorized. We developed a solution to analyze and code these free-text parts of the templates in our MRRT-compliant reporting platform, using natural language processing (NLP) with RadLex® terms in addition to the already categorized items. The established hybrid reporting concept is working successfully. The NLP tool provides RadLex® codes with modifiers (affirmed, speculated, negated). Radiologists can confirm or reject codes provided by NLP before finalizing the structured report. Furthermore, users can suggest RadLex® codes from free text that is not correctly coded with NLP or can suggest to change the modifier. Analyzing free-text fields took 1.23 s on average. Hybrid reporting enables coding of free-text information in our MRRT-compliant templates and thus increases the amount of categorized data that can be stored in the database. This enhances the possibilities for further analyses, such as correlating clinical information with radiological findings or storing high-quality structured information for machine-learning approaches.
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Affiliation(s)
- Florian Jungmann
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckst. 1, 55131, Mainz, Germany.
| | - G Arnhold
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckst. 1, 55131, Mainz, Germany
| | - B Kämpgen
- Empolis Information Management GmbH, Kaiserslautern, Germany
| | - T Jorg
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckst. 1, 55131, Mainz, Germany
| | - C Düber
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckst. 1, 55131, Mainz, Germany
| | - P Mildenberger
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckst. 1, 55131, Mainz, Germany
| | - R Kloeckner
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckst. 1, 55131, Mainz, Germany
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Quantitative evaluation of chronically obstructed kidneys from noncontrast computed tomography based on deep learning. Eur J Radiol 2021; 136:109535. [PMID: 33460954 DOI: 10.1016/j.ejrad.2021.109535] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 12/09/2020] [Accepted: 01/05/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVE To quantitatively report renal parenchymal volume (RPV), renal sinus volume (RSV), and renal parenchymal density (RPD) for chronically obstructed kidneys from noncontrast computed tomography (NCCT). METHODS This retrospective study was approved by the institutional review board of our hospital with a waiver of informed consent. We retrospectively collected 304 consecutive NCCT scans of urinary obstruction and constructed two datasets: one with 167 patient scans for parenchyma and sinus segmentation (segmentation dataset) and the other containing 137 scans from different patients diagnosed with chronic urinary obstruction (CUO dataset) and paired with split glomerular filtration rate (sGFR). A cascaded three-dimensional (3D) U-Net model was developed and validated for parenchyma and sinus segmentation. The RPV, RSV, and RPD of the CUO dataset were calculated by the model with manual editing. A multivariate analysis was performed to show the association between all parameters and the sGFR. RESULTS In the test dataset, the Dice values for parenchyma and sinus segmentation were 0.95 ± 0.04 and 0.90 ± 0.05, respectively. Compared with those of nonobstructed kidneys, the RSV and RPD of obstructed kidneys increased, but RPV and sGFR decreased (P < .001). For chronically obstructed kidneys, age (r = -0.292, P < .001), RPV (r = 0.849, P < .001), RSV (r = -0.331, P < .001), and RPD (r = -0.296, P < .001) were significantly correlated with sGFR. The fitted regression model was sGFR = 10.873-0.111 Age + 0.211 RPV - 0.022 RSV (r2 = 0.712). CONCLUSIONS NCCT combined with deep learning has the potential to be a single radiological procedure for morphological and functional evaluation of chronically obstructed kidneys.
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Letourneau-Guillon L, Camirand D, Guilbert F, Forghani R. Artificial Intelligence Applications for Workflow, Process Optimization and Predictive Analytics. Neuroimaging Clin N Am 2020; 30:e1-e15. [PMID: 33039002 DOI: 10.1016/j.nic.2020.08.008] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
There is great potential for artificial intelligence (AI) applications, especially machine learning and natural language processing, in medical imaging. Much attention has been garnered by the image analysis tasks for diagnostic decision support and precision medicine, but there are many other potential applications of AI in radiology and have potential to enhance all levels of the radiology workflow and practice, including workflow optimization and support for interpretation tasks, quality and safety, and operational efficiency. This article reviews the important potential applications of informatics and AI related to process improvement and operations in the radiology department.
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Affiliation(s)
- Laurent Letourneau-Guillon
- Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), 1051, rue Sanguinet, Montréal, Quebec H2X 0C1, Canada; Centre de Recherche du CHUM (CRCHUM), 900 St Denis St, Montréal, Quebec H2X 0A9, Canada.
| | - David Camirand
- Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), 1051, rue Sanguinet, Montréal, Quebec H2X 0C1, Canada
| | - Francois Guilbert
- Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), 1051, rue Sanguinet, Montréal, Quebec H2X 0C1, Canada; Centre de Recherche du CHUM (CRCHUM), 900 St Denis St, Montréal, Quebec H2X 0A9, Canada
| | - Reza Forghani
- Augmented Intelligence & Precision Health Laboratory (AIPHL), Department of Radiology & Research Institute of the McGill University Health Centre, 5252 Boulevard de Maisonneuve Ouest, Montréal, Quebec H4A 3S5, Canada; Department of Radiology, McGill University, 1650 Cedar Avenue, Montréal, Quebec H3G 1A4, Canada; Segal Cancer Centre, Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine Road, Montréal, Quebec H3T 1E2, Canada; Gerald Bronfman Department of Oncology, McGill University, Suite 720, 5100 Maisonneuve Boulevard West, Montréal, Quebec H4A3T2, Canada; Department of Otolaryngology - Head and Neck Surgery, Royal Victoria Hospital, McGill University Health Centre, 1001 boul. Decarie Boulevard, Montréal, Quebec H3A 3J1, Canada; 4intelligent Inc., Cote St-Luc, Quebec H3X 4A6, Canada
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Qamar SR, Evans D, Gibney B, Redmond CE, Nasir MU, Wong K, Nicolaou S. Emergent Comprehensive Imaging of the Major Trauma Patient: A New Paradigm for Improved Clinical Decision-Making. Can Assoc Radiol J 2020; 72:293-310. [PMID: 32268772 DOI: 10.1177/0846537120914247] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Modern advances in the medical imaging layered onto sophisticated trauma resuscitation strategies in highly organized regionalized trauma systems have created a paradigm shift in the management of severely injured patients. Although immediate exploratory surgery to identify and control life-threatening injuries still has its place, accelerated image acquisition and interpretation procedures now make it rare for trauma surgeons in major centers to venture into damage control surgery unaided by computed tomography (CT) or other imaging, particularly in cases of blunt trauma. Indeed, because of the high incidence of clinically occult injuries associated with major mechanism trauma, and even lower energy trauma in frail or elderly patients, CT imaging has become as invaluable as physical examination, if not more so, in critical decision-making in support of optimal outcomes. In particular, whole-body computed tomography (WBCT) completed promptly after initial assessment of a major trauma provides a quick, comprehensive survey of injuries that enables better surgical planning, obviates the need for multiple subsequent studies, and permits specialized reconstructions when needed. For those at risk for problematic occult injury after modest trauma, WBCT facilitates safer discharge planning and simplified follow-up. Through standardized guidelines, streamlined protocols, synoptic reporting, accessible web-based platforms, and active collaboration with clinicians, radiologists dedicated to trauma and emergency imaging enable clearer understanding of complex injuries in high-risk patients which leads to superior clinical decision-making. Whereas dated dogma has long warned that the CT scanner is the last place to take a challenging trauma patient, modern practice suggests that, more often than not, early comprehensive imaging can be done safely and efficiently and is in the patient's best interest. This article outlines how the role of diagnostic imaging for major trauma has evolved considerably in recent years.
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Affiliation(s)
- Sadia Raheez Qamar
- Department of Emergency and Trauma Radiology, Vancouver General Hospital, 8166University of British Columbia, Vancouver, British Columbia, Canada
| | - David Evans
- Department of Surgery, 8167Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Brian Gibney
- Department of Emergency and Trauma Radiology, Vancouver General Hospital, 8166University of British Columbia, Vancouver, British Columbia, Canada
| | - Ciaran E Redmond
- Department of Emergency and Trauma Radiology, Vancouver General Hospital, 8166University of British Columbia, Vancouver, British Columbia, Canada
| | - Muhammad Umer Nasir
- Department of Emergency and Trauma Radiology, Vancouver General Hospital, 8166University of British Columbia, Vancouver, British Columbia, Canada
| | - Kenneth Wong
- Department of Radiology, 71511Royal Columbian Hospital, New Westminster, British Columbia, Canada
| | - Savvas Nicolaou
- Department of Emergency and Trauma Radiology, Vancouver General Hospital, 8166University of British Columbia, Vancouver, British Columbia, Canada
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Weikert T, Sommer G, Tamm M, Haegler P, Cyriac J, Sauter AW, Hostettler K, Bremerich J. Centralized expert HRCT Reading in suspected idiopathic pulmonary fibrosis: Experience from an Eurasian teleradiology program. Eur J Radiol 2019; 121:108719. [PMID: 31706232 DOI: 10.1016/j.ejrad.2019.108719] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 10/08/2019] [Accepted: 10/19/2019] [Indexed: 11/17/2022]
Abstract
PURPOSE To share experience from a large, ongoing expert reading teleradiology program in Europe and Asia aiming at supporting referring centers to interpret high-resolution computed tomography (HRCT) with respect to presence of Usual Interstitial Pneumonia (UIP)-pattern in patients with suspected Idiopathic Pulmonary Fibrosis (IPF). METHOD We analyzed data from 01/2014 to 05/2019, including HRCTs from 239 medical centers in 12 European and Asian countries that were transmitted to our Picture Archiving and Communication System (PACS) via a secured internet connection. Structured reports were generated in consensus by a radiologist with over 20 years of experience in thoracic imaging and a pulmonologist with specific expertise in interstitial lung disease according to current guidelines on IPF. Reports were sent to referring physicians. We evaluated patient characteristics, technical issues, report turnaround times and frequency of diagnoses. We also conducted a survey to collect feedback from referring physicians. RESULTS HRCT image data from 703 patients were transmitted (53.5% male). Mean age was 63.7 years (SD:17). In 35.1% of all cases diagnosis was "UIP"/"Typical UIP". The mean report turnaround time was 1.7 days (SD:2.9). Data transmission errors occurred in 7.1%. Overall satisfaction rate among referring physicians was high (8.4 out of 10; SD:3.2). CONCLUSIONS This Eurasian teleradiology program demonstrates the feasibility of cross-border teleradiology for the provision of state-of-the-art reporting despite heterogeneity of referring medical centers and challenges like data transmission errors and language barriers. We also point out important factors for success like the usage of structured reporting templates.
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Affiliation(s)
- Thomas Weikert
- University Hospital Basel, University of Basel, Department of Radiology, Petersgraben 4, 4031 Basel, Switzerland.
| | - Gregor Sommer
- University Hospital Basel, University of Basel, Department of Radiology, Petersgraben 4, 4031 Basel, Switzerland.
| | - Michael Tamm
- University Hospital Basel, University of Basel, Clinics of Respiratory Medicine, Petersgraben 4, 4031 Basel, Switzerland.
| | - Patrizia Haegler
- Boehringer Ingelheim (Switzerland) GmbH, Hochbergerstrasse 60B, 4057 Basel, Switzerland.
| | - Joshy Cyriac
- University Hospital Basel, University of Basel, Department of Radiology, Petersgraben 4, 4031 Basel, Switzerland.
| | - Alexander W Sauter
- University Hospital Basel, University of Basel, Department of Radiology, Petersgraben 4, 4031 Basel, Switzerland.
| | - Katrin Hostettler
- University Hospital Basel, University of Basel, Clinics of Respiratory Medicine, Petersgraben 4, 4031 Basel, Switzerland.
| | - Jens Bremerich
- University Hospital Basel, University of Basel, Department of Radiology, Petersgraben 4, 4031 Basel, Switzerland.
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Luminal imaging - Small and large bowel. Clin Radiol 2019; 74:576-577. [DOI: 10.1016/j.crad.2019.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 05/22/2019] [Indexed: 11/20/2022]
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