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ACR Neck Imaging Reporting and Data System for MRI Version 2025.

Paul M Bunch1, Ashley H Aiken2, Kristen L Baugnon3

  • 1Director of Head and Neck Imaging, Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina; Chair, Neck Imaging Reporting and Data System Committee; and Chair, Parathyroid Lesions - Incidental Findings Subcommittee.

Journal of the American College of Radiology : JACR
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Summary
This summary is machine-generated.

The Neck Imaging Reporting and Data System (NI-RADS) MRI version 2025 offers standardized reporting for head and neck cancer surveillance. This MRI-based system aims to reduce variability in interpreting posttreatment imaging findings.

Keywords:
NI-RADSNeck Imaging Reporting and Data Systemshead and neck cancerstructured reportingsurveillancetemplates

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Area of Science:

  • Oncology
  • Radiology
  • Medical Imaging

Background:

  • Posttreatment surveillance imaging for head and neck cancers presents interpretation challenges due to anatomical complexity and treatment-induced changes.
  • Variability exists among radiologists in reporting imaging findings and assessing recurrence risk, impacting patient management.
  • Previous iterations of the Neck Imaging Reporting and Data System (NI-RADS) addressed CT and PET/CT imaging.

Purpose of the Study:

  • To introduce and explain the ACR NI-RADS MRI version 2025, a standardized reporting paradigm for magnetic resonance imaging (MRI) in head and neck cancer surveillance.
  • To address the need for consistent interpretation of MRI surveillance imaging in head and neck cancer patients.
  • To provide category descriptors, imaging findings, and management guidance specific to MRI for head and neck cancer surveillance.

Main Methods:

  • Development of the NI-RADS MRI version 2025 by the ACR NI-RADS Committee.
  • Consensus process involving experts in head and neck radiology and oncology.
  • Review and summarization of relevant literature and evidence base supporting the MRI guidelines.

Main Results:

  • The ACR NI-RADS MRI version 2025 provides specific category descriptors, imaging findings, and management recommendations tailored for MRI surveillance.
  • The system aims to standardize the reporting and interpretation of MRI scans for detecting recurrence in head and neck cancers.
  • Detailed explanation of the rationale, consensus process, and component features of the NI-RADS MRI version 2025.

Conclusions:

  • The NI-RADS MRI version 2025 is a crucial development for improving the consistency and accuracy of head and neck cancer surveillance using MRI.
  • This standardized approach is expected to enhance radiologist confidence and reduce inter-reader variability in interpreting surveillance imaging.
  • The guidelines offer a framework for evidence-based management decisions following head and neck cancer treatment.