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Computed Tomography Structured Reporting in the Staging of Lymphoma: A Delphi Consensus Proposal
Vincenza Granata1, Silvia Pradella2,3, Diletta Cozzi2,3
1Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli, 80131 Naples, Italy.
Structured reporting in radiology enhances communication for lymphoma staging. This study developed standardized CT reports using a Delphi process, improving clarity and consistency for better patient care and clinical trial participation.
Area of Science:
- Radiology
- Medical Informatics
- Oncology
Background:
- Structured reporting (SR) is increasingly vital in radiology, endorsed by major scientific societies.
- Effective communication of imaging findings is critical for patient management and treatment decisions.
- Current radiology reports can sometimes lack standardization, leading to ambiguity.
Purpose of the Study:
- To develop structured CT-based reports for lymphoma staging.
- To enhance communication among radiologists, multidisciplinary teams, and patients.
- To improve the clarity and consistency of radiological information for clinical decision-making and research.
Main Methods:
- A modified Delphi process involving expert radiologists from the Italian Society of Medical and Interventional Radiology (SIRM).
- Development and iterative refinement of a structured report (SR) with 62 items across four sections: Patient Clinical Data, Clinical Evaluation, Imaging Protocol, and Report.
- Quality analysis using Cronbach's alpha (Cα) to assess internal consistency and inter-item correlation.
Main Results:
- The SR was finalized after two Delphi rounds, achieving high expert ratings (≥3 in round 1, ≥4 in round 2).
- High internal consistency was confirmed by Cronbach's alpha (0.89 in round 1, 0.87 in round 2).
- Expert agreement and report quality improved significantly in the second Delphi round, indicated by higher mean scores and lower standard deviation.
Conclusions:
- The developed structured CT report for lymphoma staging is a consensus-based tool designed for standardized terminology and structure.
- This SR aims to reduce ambiguity, facilitate clinical trial enrollment, and improve communication between healthcare professionals.
- The structured format supports accurate data dissemination, crucial for patient care and future research endeavors.
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