Structured Reporting in Radiology

ISBN-13: 9783030913489 / Angielski / Miękka / 2022

Opis

After an introduction to reporting in radiology, various parts of structured reporting are discussed in detail, including an overview of standardized reporting systems, standardized reporting language, DICOM structured reporting, template based structured reporting, and modular reporting.

Recenzje

"Each chapter is well written, well presented and well referenced - so readers can dig into the evidence behind some of the statements/ claims at their leisure. It is not pitched at converting those who do not buy into structured reports but unashamedly presents the positives of this approach and could well achieve that." (Peter Strouhal, RAD Magazine, September, 2022)

Spis treści

1.            Introduction to reporting in radiology                   (Erik Ranschaert, Jacob Visser)

History of radiology reporting, use of electronic devices in radiology reporting, the challenges of communication of results in medical imaging

 

2.            Basics of structured reporting                                  (Mansoor Fatehi, Daniel Pinto dos Santos)

Definitions of structured reporting, Advantages of SR for facilitation of radiology education, radiology research and data mining, Limitations of structured reporting, Barriers to implementation of SR in radiology practice

 

3.            Standardized reporting systems                                             (Bijan Bijan, Sergey Morozov)

Overview of RAD Systems including BIRADS, PIRADS, LIRADS, TIRADS, etc.

 

4.            Standardizing reporting language                           (Adrian Brady)

Language independent reporting, RadLex, SNOMED, and others

 

5.            Interoperable reporting standards                         (Peter Mildenberger, Daniel Pinto dos Santos)

DICOM structured reporting, IHE MRRT

 

6.            Template based structured reporting                   (Farcensca Coppola, Daniel Pinto dos Santos)

Reporting initiative, template libraries, template integration into HER/RIS/HIS

 

7.            Common data elements and modular reporting              (Marc Kohli, Mansoor Fatehi)

The importance of sub-templates for description of abnormal findings, flexible template composition based on clinical problem of the patient, expandable reporting templates, the role of common data elements.

 

8.            Multimedia-enhanced structured reporting      (David Vining)

Time-line structured reporting, attachement of annotated images to structured reports

 

9.            Strucrtured reporting and artificial intelligence (Angel Alberich Bayarri, Emanuele Neri)

The role of structured reporting in data mining, design of deep learning based on narrated structured reporting, the role of AI in successful implementation of structured reporting

 

10.          Structured reporting beyond radiology                                (Andreas Hirsch, Michaela Waner-Menghin)

Pathology structured reporting, surgical structured reporting, endoscopic structured reporting, cariologic structured reporting, etc.

O autorze

Mansoor Fatehi, MD, CIIP, obtained his medical degree from the IRAN University of Medical Sciences in Tehran, and continued his radiology training at the same university from which he graduated in 1998. He had a fellowship training at the University of Maryland in Baltimore on Musculoskeletal Imaging and Informatics. He was certified by the American Board of Imaging Informatics in 2010, and established the “Medical Imaging Informatics Research Center” in Tehran in 2012. Currently he is Chief of Imaging Informatics at the Virtual University of Medical Sciences and Director of the Iranian Brain Mapping Biobank at the National Brain Mapping Laboratory in Tehran.

His research interests include clinical themes, mainly sports imaging and osteoporosis, focusing on imaging informatics and exploring potential design and implementation of structured reporting particularly in the field of MSK radiology. He has published 38 books, Over 15 Book Chapters And Articles, and has held over 220 invited lectures at international and national levels. He is a board member of the European Society of Medical Imaging Informatics (EuSoMII) and a member of the global out-reach committee of the Society of Imaging Informatics in Medicine (SIIM). He serves as secretary of Digital Health working group in National Academy of Medical Sciences.

 

Daniel Pinto dos Santos, MD obtained his medical degree at the Johannes Gutenberg University in Mainz, Germany, where he graduated in 2009. After graduating he worked at the Department of Radiology at the University Medical Center in Mainz, Germany, and completed a research fellowship at the Hospital Universitari La Fe in Valencia, Spain. After receiving his board certification in 2015, he moved to a senior radiologist position at the University Hospital of Cologne.

His main research interests lay in medical imaging informatics and especially structured reporting as well as in abdominal radiology, with a special focus on the hepatobiliary system and liver tumors. He has published over 70 articles and book chapters and has been invited to give numerous lectures at the national and international level. He is currently Vice President of the European Society of Medical Imaging Informatics (EuSoMII), chairman of the IT subcommittee of the German Radiological Society and chairman of the Imaging Informatics / Artificial Intelligence and Machine Learning Subcommittee for the planning of the European Congress of Radiology 2023 in Vienna.

Blurb

This book provides practitioners and scientists with insights into diverse aspects of structured reporting to allow them to develop tools and a knowledge base to ensure that this electronic reporting trend is widely applied. After an introduction to reporting in radiology, various parts of structured reporting are discussed in detail, including an overview of standardized reporting systems, standardized reporting language, DICOM structured reporting, template based structured reporting, and modular reporting. The last chapter addresses the interaction of structured reporting with artificial intelligence and its impact on the future of radiology. The last chapter addresses the interaction of structured reporting with artificial intelligence and its impact on the future of radiology.

Endorsed by the European Society of Medical Imaging Informatics (EuSoMII), the scope of the book is based on the Medical Imaging Informatics sub-sections of the European Society of Radiology (ESR) European Training Curriculum Level I and II.

It is a valuable resource for residents, radiologists and students.