1
|
López-Úbeda P, Martín-Noguerol T, Escartín J, Cabrera-Zubizarreta A, Luna A. Automated MRI pituitary structured reporting from free-text using a fine-tuned Llama model: a feasibility study. Jpn J Radiol 2024:10.1007/s11604-024-01721-1. [PMID: 39730936 DOI: 10.1007/s11604-024-01721-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2024] [Accepted: 12/11/2024] [Indexed: 12/29/2024]
Abstract
BACKGROUND AND OBJECTIVE Structured reports in radiology have demonstrated substantial advantages over unstructured ones. However, the transition from unstructured to structured reporting can face challenges, as experienced radiologists worry about the potential loss of valuable information. In this study, we fine-tuned the Llama 2 model capable of generating structured pituitary MRI reports from unstructured reports. METHODS We used a training set comprising 104 pituitary MRI reports to fine-tune Llama 2 and 26 reports as a test set to evaluate the system. The dataset was annotated manually by three expert radiologists. For this annotation, the radiologists used the unstructured report and structured it into eight anatomical landmarks: adenohypophysis, pituitary stalk, optic chiasm, suprasellar cistern, neurohypophysis, cavernous sinuses, sphenoid sinuses and other findings. RESULTS Llama2 achieves a value greater than 0.79 on the ROUGE-L metric in four anatomical landmarks from free-text pituitary MRI reports. The other anatomical landmarks exceed 0.61 of ROUGE-L except for the other findings section. CONCLUSIONS Our study suggests good performance in structuring anatomical landmarks on pituitary MRI reports using the fine-tune Llama 2 model.
Collapse
Affiliation(s)
| | | | - Jorge Escartín
- Neurorradiología Diagnostica E Intervencionista, HT Médica Córdoba-Sevilla, Sevilla, Spain
| | | | - Antonio Luna
- MRI Unit, Radiology Department, HT Medica. Carmelo Torres nº2, 23007, Jaén, Spain
| |
Collapse
|
2
|
Galan D, Caban KM, Singerman L, Braga TA, Paes FM, Katz DS, Munera F. Trauma and 'Whole' Body Computed Tomography: Role, Protocols, Appropriateness, and Evidence to Support its Use and When. Radiol Clin North Am 2024; 62:1063-1076. [PMID: 39393850 DOI: 10.1016/j.rcl.2024.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2024]
Abstract
Imaging plays a crucial role in the immediate evaluation of the trauma patient, particularly using multi-detector computed tomography (CT), and especially in moderately to severely injured trauma patients. There are specific areas of relative consensus, while other aspects of whole-body computed tomography (WB-CT) use remain controversial and are subject to opinion/debate based on the current literature. Even a few hours of a delayed diagnosis may result in a detrimental outcome for the patient. One must utilize all the tools available to enhance the interpretation of images. It is also important to recognize imaging pitfalls and artifacts to avoid unnecessary intervention.
Collapse
Affiliation(s)
- Daniela Galan
- Department of Radiology, Jackson Memorial Hospital, University of Miami-Miller School of Medicine, 1611 Northwest 12th Avenue, West Wing 279, Miami, FL 33136, USA.
| | - Kim M Caban
- Department of Radiology, Jackson Memorial Hospital, University of Miami-Miller School of Medicine, 1611 Northwest 12th Avenue, West Wing 279, Miami, FL 33136, USA
| | - Leandro Singerman
- Department of Radiology, Jackson Memorial Hospital, University of Miami-Miller School of Medicine, 1611 Northwest 12th Avenue, West Wing 279, Miami, FL 33136, USA
| | - Thiago A Braga
- Department of Radiology, Jackson Memorial Hospital, University of Miami-Miller School of Medicine, 1611 Northwest 12th Avenue, West Wing 279, Miami, FL 33136, USA
| | - Fabio M Paes
- Department of Radiology, Jackson Memorial Hospital, University of Miami-Miller School of Medicine, 1611 Northwest 12th Avenue, West Wing 279, Miami, FL 33136, USA
| | - Douglas S Katz
- Department of Radiology, NYU Grossman Long Island School of Medicine, NYU Langone Hospital - Long Island, 259 First Street, Mineola, NY 11501, USA
| | - Felipe Munera
- Department of Radiology, Jackson Memorial Hospital, University of Miami-Miller School of Medicine, 1611 Northwest 12th Avenue, West Wing 279, Miami, FL 33136, USA
| |
Collapse
|
3
|
Thormahlen L, Wessels RM, Viljoen IM. Survey on the radiology report at Chris Hani Baragwanath Academic Hospital: Clinician and radiologist perspectives. SA J Radiol 2024; 28:2954. [PMID: 39506985 PMCID: PMC11538132 DOI: 10.4102/sajr.v28i1.2954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 08/05/2024] [Indexed: 11/08/2024] Open
Abstract
Background The radiology report is the primary means of conveying imaging findings between radiologists and clinicians. As a result, clinician satisfaction with the radiology report is an indicator of its quality and clinical relevance. It is crucial to identify factors that can enhance the radiology report in order to improve service delivery. Objectives This study evaluates clinician and radiologist opinions, preferences and clinician utilisation of the radiology report. Method Mixed quantitative and qualitative survey questionnaires were distributed in-person and online from December 2022 to February 2023 to a total of 287 clinicians and 43 independent medical practitioners specialising in radiology. Results A total of 73.0% of radiologists and 56.5% of clinicians expressed satisfaction with the radiology reports. Additionally, 72.0% of radiologists expressed dissatisfaction with the history provided on the referral forms. It was found that 87.6% of clinicians read the radiology report, while 26.2% reviewed the radiological imaging without referring to it. Interestingly, 77.8% of clinicians preferred itemised listed reports, whereas 53.8% of radiologists preferred reports in paragraph format. It was discovered that 69.6% of radiologists and 65.4% of clinicians preferred a standardised reporting format. Conclusion More than half of the clinicians and most of the radiologists expressed satisfaction with the radiology report. Both clinicians and radiologists showed a preference for a structured reporting format. A crucial element in constructing a good radiology report was having a relevant clinical history. The radiologist continued to be the preferred professional for interpreting radiological imaging. Contribution This survey was a good starting point for improving communication between clinicians and radiologists. This will ultimately result in reports that are more useful to clinicians and radiologists who have a better understanding of what should be included in reports and how they should be structured.
Collapse
Affiliation(s)
- Liane Thormahlen
- Division of Diagnostic Radiology, Department of Radiation Sciences, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Robyn M. Wessels
- Division of Diagnostic Radiology, Department of Radiation Sciences, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Division of Radiology, Department of Radiation Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Ilana M. Viljoen
- Division of Diagnostic Radiology, Department of Radiation Sciences, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| |
Collapse
|
4
|
Parikh AK, Palasis S, Trinh T, Shen A, Jergel A, He Z, Little SB, Kadom N. Contrasting pediatric specialty provider opinion between contextualized and structured radiology reports. Curr Probl Diagn Radiol 2024; 53:560-566. [PMID: 38729816 DOI: 10.1067/j.cpradiol.2024.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Accepted: 05/01/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Structured reporting (SR) replaced narrative (free text) reporting and utilizes templated headings and subheadings with findings typically based on the anatomy included in the examination. Its use has been widely advocated by radiology and non-radiology organizations as the new reporting standard. There are, however, shortcomings to SR, such as templated text not addressing a specific clinical indication. Contextual reporting (CR) fills this gap. CR is a type of SR which is tailored to a narrow clinical indication by including pertinent positive and negative findings for that specific clinical entity. OBJECTIVE This study assesses provider preferences for CR as compared to SR in the pediatric practice environment using a survey methodology. METHODS & MATERIALS Surveys with examples of SR and CR reports were sent electronically to two groups. One group was focused on neurological diseases and included pediatric specialists in neurosurgery, neurology, ENT, ED, and ophthalmology (190 people), referred to as the pediatric neuroimaging group. The pediatric neuroimaging group survey contained examples of CR and SR reports of an orbital CT for orbital cellulitis and a head CT for stroke. The other group was focused on gastrointestinal diseases, and included pediatric specialists in gastroenterology, general surgery, and the ED (159 people), referred to as the pediatric gastrointestinal (GI) imaging group. The pediatric GI imaging group survey contained example reports of an abdominal CT for appendicitis and an MRI enterography for Crohn's disease. Surveys utilizing a 5-point Likert scale were analyzed via Fischer's exact test with a p-value deemed statistically significant at less than 0.05. RESULTS 349 individuals were contacted to participate in the survey. There were 81 (23 %, 81/349) survey respondents; 41 (22 %, 41/190) from the neuro group, and 40 (25 %, 40/159) from the GI group. 56 % (45/81) of all respondents preferred CR reports over traditional SR reports, while 29 % (23/81) did not. Most respondents (59 %, 48/81) indicated that CR reports are easier to interpret than traditional SR reports. Respondents from the pediatric neuroimaging group favored CR reports to a lesser degree (44 %, 36/81) compared to respondents from the pediatric GI imaging group (68 %, 55/81). CONCLUSIONS We learned from this survey that it would be beneficial to be very intentional about selecting clinical indications where CR would be most valued rather than trying to develop CR for any specific clinical indication. The study results indicate it is reasonable to continue further efforts at exploring the utility of contextualized reports.
Collapse
Affiliation(s)
- Ashishkumar K Parikh
- Children's Healthcare of Atlanta, Emory University, Department of Radiology, 1405 Clifton Rd NE, Atlanta, GA, 30322, USA.
| | - Susan Palasis
- Children's Healthcare of Atlanta, Emory University, Department of Radiology, 1405 Clifton Rd NE, Atlanta, GA, 30322, USA
| | - Thai Trinh
- Children's Healthcare of Atlanta, Emory University, Department of Radiology, 1405 Clifton Rd NE, Atlanta, GA, 30322, USA
| | - Annie Shen
- National Heart, Lung and Blood Institute, National Institute of Health, Bethesda, MD, USA
| | - Andrew Jergel
- Emory University School of Medicine, Department of Pediatrics, 100 Woodruff Circle, Atlanta, GA, 30322, USA
| | - Zhulin He
- Emory University School of Medicine, Department of Pediatrics, 100 Woodruff Circle, Atlanta, GA, 30322, USA
| | - Stephen B Little
- Children's Healthcare of Atlanta, Emory University, Department of Radiology, 1405 Clifton Rd NE, Atlanta, GA, 30322, USA
| | - Nadja Kadom
- Children's Healthcare of Atlanta, Emory University, Department of Radiology, 1405 Clifton Rd NE, Atlanta, GA, 30322, USA
| |
Collapse
|
5
|
Raissaki M, Stafrace S, Kozana A, Nievelstein RAJ, Papaioannou G. Collaborating with non-radiological clinical colleagues. Pediatr Radiol 2024:10.1007/s00247-024-06027-y. [PMID: 39168913 DOI: 10.1007/s00247-024-06027-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 08/05/2024] [Accepted: 08/05/2024] [Indexed: 08/23/2024]
Abstract
Paediatric radiology is a challenging and intriguing subspecialty, dealing with children, guardians and non-radiological clinical colleagues. Paediatric radiologists are routinely in contact with numerous paediatric and surgical subspecialties, all having different needs, perceptions, prioritisations and expectations. Moreover, the radiologist is part of the team of radiographers, sonographers, nurses and secretaries, assisted by appropriate equipment and electronic tools. The framework of good collaboration to ensure safety and effectiveness for the imaged child is a shared responsibility among all medical practitioners involved. Communication in routine practice has many forms and includes appropriately filled radiology requests in accordance to the patient's medical records, routine and timely production of structured, problem-solving radiology reports, face-to-face or electronic-assisted communications and discussions on a pre-defined framework, mutually-agreed and evidence-based protocols adjusted to local availability, skills and national and international guidelines. Mutual understanding of advantages and limitations of imaging is paramount. Well-meant discussions, professionalism and empathy should promote soft skills, bidirectional communication and good collaboration for the benefit of added-value paediatric radiology. International societies, health authorities, medical directors and senior consultants have the responsibility to suggest and safeguard frameworks and recommendations. Regular multidisciplinary meetings and multidisciplinary research projects under openness, honesty and transparency are pathways favouring good collaboration.
Collapse
Affiliation(s)
- Maria Raissaki
- Department of Radiology, University Hospital of Heraklion, University of Crete, Stavrakia Medical School Campus, 71110, Heraklion, Crete, Greece.
| | - Samuel Stafrace
- Department of Radiology, McMaster Children's Hospital, McMaster University, Hamilton, Ontario, Canada
| | - Androniki Kozana
- Department of Radiology, University Hospital of Heraklion, Heraklion, Crete, Greece
| | - Rutger A J Nievelstein
- Division Imaging & Oncology, Department of Radiology & Nuclear Medicine, UMC Utrecht/Wilhelmina Children's Hospital, Utrecht, The Netherlands
| | - Georgia Papaioannou
- Department of Pediatric Radiology, Mitera Maternal and Children's Hospital, Athens, Greece
| |
Collapse
|
6
|
Leithner D, Sala E, Neri E, Schlemmer HP, D'Anastasi M, Weber M, Avesani G, Caglic I, Caruso D, Gabelloni M, Goh V, Granata V, Kunz WG, Nougaret S, Russo L, Woitek R, Mayerhoefer ME. Perceptions of radiologists on structured reporting for cancer imaging-a survey by the European Society of Oncologic Imaging (ESOI). Eur Radiol 2024; 34:5120-5130. [PMID: 38206405 PMCID: PMC11254975 DOI: 10.1007/s00330-023-10397-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 08/20/2023] [Accepted: 09/07/2023] [Indexed: 01/12/2024]
Abstract
OBJECTIVES To assess radiologists' current use of, and opinions on, structured reporting (SR) in oncologic imaging, and to provide recommendations for a structured report template. MATERIALS AND METHODS An online survey with 28 questions was sent to European Society of Oncologic Imaging (ESOI) members. The questionnaire had four main parts: (1) participant information, e.g., country, workplace, experience, and current SR use; (2) SR design, e.g., numbers of sections and fields, and template use; (3) clinical impact of SR, e.g., on report quality and length, workload, and communication with clinicians; and (4) preferences for an oncology-focused structured CT report. Data analysis comprised descriptive statistics, chi-square tests, and Spearman correlation coefficients. RESULTS A total of 200 radiologists from 51 countries completed the survey: 57.0% currently utilized SR (57%), with a lower proportion within than outside of Europe (51.0 vs. 72.7%; p = 0.006). Among SR users, the majority observed markedly increased report quality (62.3%) and easier comparison to previous exams (53.5%), a slightly lower error rate (50.9%), and fewer calls/emails by clinicians (78.9%) due to SR. The perceived impact of SR on communication with clinicians (i.e., frequency of calls/emails) differed with radiologists' experience (p < 0.001), and experience also showed low but significant correlations with communication with clinicians (r = - 0.27, p = 0.003), report quality (r = 0.19, p = 0.043), and error rate (r = - 0.22, p = 0.016). Template use also affected the perceived impact of SR on report quality (p = 0.036). CONCLUSION Radiologists regard SR in oncologic imaging favorably, with perceived positive effects on report quality, error rate, comparison of serial exams, and communication with clinicians. CLINICAL RELEVANCE STATEMENT Radiologists believe that structured reporting in oncologic imaging improves report quality, decreases the error rate, and enables better communication with clinicians. Implementation of structured reporting in Europe is currently below the international level and needs society endorsement. KEY POINTS • The majority of oncologic imaging specialists (57% overall; 51% in Europe) use structured reporting in clinical practice. • The vast majority of oncologic imaging specialists use templates (92.1%), which are typically cancer-specific (76.2%). • Structured reporting is perceived to markedly improve report quality, communication with clinicians, and comparison to prior scans.
Collapse
Affiliation(s)
- Doris Leithner
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Evis Sala
- Department of Radiology, Universita Cattolica del Sacro Cuore, Rome, Italy
- Advanced Radiology Center, Fondazione Universitario Policlinico A. Gemelli IRCCS, Rome, Italy
| | - Emanuele Neri
- Diagnostic and Interventional Radiology, Department of Translational Research, University of Pisa, Pisa, Italy
| | | | - Melvin D'Anastasi
- Medical Imaging Department, Mater Dei Hospital, University of Malta, Msida, Malta
| | - Michael Weber
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Giacomo Avesani
- Department of Radiology, Radiation Oncology and Hematology, Fondazione Policlinico Universitario, A. Gemelli IRCCS, Rome, Italy
| | - Iztok Caglic
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Damiano Caruso
- Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea University Hospital, Rome, Italy
| | - Michela Gabelloni
- Nuclear Medicine Unit, Department of Translational Research, University of Pisa, Pisa, Italy
| | - Vicky Goh
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
- Department of Radiology, Guy's & St Thomas' Hospitals NHS Foundation Trust, London, UK
| | - Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS, Naples, Italy
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital LMU Munich, Munich, Germany
| | | | - Luca Russo
- Department of Radiology, Radiation Oncology and Hematology, Fondazione Policlinico Universitario, A. Gemelli IRCCS, Rome, Italy
| | - Ramona Woitek
- Research Centre for Medical Image Analysis and Artificial Intelligence, Danube Private University, Krems, Austria
| | - Marius E Mayerhoefer
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
| |
Collapse
|
7
|
See TC, Uberoi R, Ramsden W. Navigating an effective imaging results notification in our healthcare system. Clin Radiol 2023; 78:159-163. [PMID: 36411090 DOI: 10.1016/j.crad.2022.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 10/11/2022] [Indexed: 11/19/2022]
Affiliation(s)
- T C See
- Box 219, Radiology Department, Cambridge University Hospitals NHS Foundation Trust, Hills Road, Cambridge CB2 0QQ, UK.
| | - R Uberoi
- Radiology Department, Oxford University Hospitals NHS Foundation Trust, Headley Way, Headington, Oxford OX3 9DU, UK
| | - W Ramsden
- Radiology Department, Leeds teaching Hospitals NHS Trust, Beckett Street, Leeds LS9 7TF, UK
| | | |
Collapse
|
8
|
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: 13] [Impact Index Per Article: 6.5] [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.
Collapse
|
9
|
Harsini S, Tofighi S, Eibschutz L, Quinn B, Gholamrezanezhad A. An Evolution of Reporting: Identifying the Missing Link. Diagnostics (Basel) 2022; 12:diagnostics12071761. [PMID: 35885664 PMCID: PMC9323531 DOI: 10.3390/diagnostics12071761] [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: 06/07/2022] [Revised: 07/12/2022] [Accepted: 07/19/2022] [Indexed: 11/29/2022] Open
Abstract
In recent years, radiologic imaging has undergone tremendous technological advances and is now a pillar of diagnostic and treatment algorithms in clinical medicine. The increased complexity and volume of medical imaging has led clinicians to become ever more reliant on radiologists to both identify and interpret patient studies. A radiologist’s report provides key insights into a patient’s immediate state of health, information that is vital when choosing the most appropriate next steps in management. As errors in imaging interpretation or miscommunication of results can greatly impair patient care, identifying common error sources is vital to minimizing their occurrence. Although mistakes in medical imaging are practically inevitable, changes to the delivery of imaging reporting and the addition of artificial intelligence algorithms to analyze clinicians’ communication skills can minimize the impact of these errors, keep up with the continuously evolving landscape of medical imaging, and ultimately close the communication gap.
Collapse
Affiliation(s)
- Sara Harsini
- British Columbia Cancer Research Center Vancouver, Vancouver, BC V5Z 1L3, Canada;
| | - Salar Tofighi
- Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA 90007, USA; (S.T.); (L.E.); (B.Q.)
| | - Liesl Eibschutz
- Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA 90007, USA; (S.T.); (L.E.); (B.Q.)
| | - Brian Quinn
- Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA 90007, USA; (S.T.); (L.E.); (B.Q.)
| | - Ali Gholamrezanezhad
- Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA 90007, USA; (S.T.); (L.E.); (B.Q.)
- Correspondence: ; Tel.: +1-443-839-7134
| |
Collapse
|
10
|
Automated Notification of Relevant Expected or Incidental Findings in Imaging Exams in a Verticalized Healthcare System. J Med Syst 2022; 46:55. [PMID: 35788428 DOI: 10.1007/s10916-022-01842-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 06/16/2022] [Indexed: 10/17/2022]
Abstract
To describe the implementation of a standardized code system for notification of relevant expected or incidental findings in imaging exams and use of an automated textual mining tool of radiological report narratives, created to facilitate directing patients to specific lines of care, reducing the waiting time for interventions, consultations, and minimizing delays to treatment. We report our 12-month initial experience with the process. A standardized code was attached to every radiology report when a relevant finding was observed. On a daily basis, the notifications was sent to a dedicated medical team to review the notified abnormality and decide a proper action. Between October 1, 2020, and September 30, 2021, 40,296 sectional examinations (CT and MR scans) were evaluated in 35,944 patients. The main findings reported were calcified plaques on the trunk of the left coronary artery or trunk like, pulmonary nodule/mass and suspected liver disease. Data of follow-up was available in 10,019 patients. The age ranged from 24 to 101 years (mean of 71.3 years) and 6,626 were female (66.1%). In 2,548 patients a complementary study or procedure was indicated, and 3,300 patients were referred to a specialist. Customized database searches looking for critical or relevant findings may facilitate patient referral to specific care lines, reduce the waiting time for interventions or consultations, and minimize delays to treatment.
Collapse
|
11
|
Nobel JM, van Geel K, Robben SGF. Structured reporting in radiology: a systematic review to explore its potential. Eur Radiol 2022; 32:2837-2854. [PMID: 34652520 PMCID: PMC8921035 DOI: 10.1007/s00330-021-08327-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 08/15/2021] [Accepted: 09/13/2021] [Indexed: 10/31/2022]
Abstract
OBJECTIVES Structured reporting (SR) in radiology reporting is suggested to be a promising tool in clinical practice. In order to implement such an emerging innovation, it is necessary to verify that radiology reporting can benefit from SR. Therefore, the purpose of this systematic review is to explore the level of evidence of structured reporting in radiology. Additionally, this review provides an overview on the current status of SR in radiology. METHODS A narrative systematic review was conducted, searching PubMed, Embase, and the Cochrane Library using the syntax 'radiol*' AND 'structur*' AND 'report*'. Structured reporting was divided in SR level 1, structured layout (use of templates and checklists), and SR level 2, structured content (a drop-down menu, point-and-click or clickable decision trees). Two reviewers screened the search results and included all quantitative experimental studies that discussed SR in radiology. A thematic analysis was performed to appraise the evidence level. RESULTS The search resulted in 63 relevant full text articles out of a total of 8561 articles. Thematic analysis resulted in 44 SR level 1 and 19 level 2 reports. Only one paper was scored as highest level of evidence, which concerned a double cohort study with randomized trial design. CONCLUSION The level of evidence for implementing SR in radiology is still low and outcomes should be interpreted with caution. KEY POINTS • Structured reporting is increasingly being used in radiology, especially in abdominal and neuroradiological CT and MRI reports. • SR can be subdivided into structured layout (SR level 1) and structured content (SR level 2), in which the first is defined as being a template in which the reporter has to report; the latter is an IT-based manner in which the content of the radiology report can be inserted and displayed into the report. • Despite the extensive amount of research on the subject of structured reporting, the level of evidence is low.
Collapse
Affiliation(s)
- J Martijn Nobel
- Department of Radiology, Maastricht University Medical Center+, Postbox 5800, 6202 AZ, Maastricht, the Netherlands.
- Department of Educational Development and Research and School of Health Professions Education, Maastricht University, Maastricht, the Netherlands.
| | - Koos van Geel
- Department of Educational Development and Research and School of Health Professions Education, Maastricht University, Maastricht, the Netherlands
- Department of Medical Imaging of Zuyderland Medical Center, Heerlen, the Netherlands
| | - Simon G F Robben
- Department of Radiology, Maastricht University Medical Center+, Postbox 5800, 6202 AZ, Maastricht, the Netherlands
- Department of Educational Development and Research and School of Health Professions Education, Maastricht University, Maastricht, the Netherlands
| |
Collapse
|