Volume 132, Issue 9 pp. 1792-1797
Original Reports

Neck Imaging Reporting and Data System Category 3 on Surveillance Computed Tomography: Incidence, Biopsy Rate, and Predictive Performance in Head and Neck Squamous Cell Carcinoma

Erik D. Johansson BS

Erik D. Johansson BS

Wake Forest School of Medicine, Winston-Salem, North Carolina, U.S.A.

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Ryan T. Hughes MD

Ryan T. Hughes MD

Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, North Carolina, U.S.A.

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Nuwan T. Meegalla MD

Nuwan T. Meegalla MD

Department of Otolaryngology—Head and Neck Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina, U.S.A.

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Mercedes Porosnicu MD

Mercedes Porosnicu MD

Department of Hematology and Oncology, Wake Forest School of Medicine, Winston-Salem, North Carolina, U.S.A.

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Hafiz S. Patwa MD

Hafiz S. Patwa MD

Department of Otolaryngology—Head and Neck Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina, U.S.A.

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Christopher M. Lack MD, PhD

Christopher M. Lack MD, PhD

Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, U.S.A.

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Paul M. Bunch MD

Corresponding Author

Paul M. Bunch MD

Department of Radiology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina, U.S.A.

Send correspondence to Paul M. Bunch, MD, Department of Radiology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157. E-mail: [email protected]

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First published: 19 January 2022
Citations: 2

Editor's Note: This Manuscript was accepted for publication on December 29, 2021.

A preliminary version of this work was presented as an oral scientific abstract at the 55th Annual Meeting (September 8–12, 2021) of the American Society of Head and Neck Radiology.

Mercedes Porosnicu is a consultant for Boehringer Ingelheim and received research support from AstraZeneca, Astrellas, and Eli Lilly. All other authors declare no conflict of interest.

The authors have no other funding, financial relationships, or conflicts of interest to disclose.

Abstract

Objectives

Neck Imaging Reporting and Data System (NI-RADS) is a radiology reporting system for head and neck cancer surveillance. Imaging findings of high suspicion for recurrence are assigned Category 3 and recommended for “Biopsy, if clinically indicated.” After implementing NI-RADS for surveillance neck computed tomography (CT), our objectives are to determine the incidence of squamous cell carcinoma (SCC) Category 3 lesions in the year post-implementation, the associated biopsy rate, and the positive predictive value of NI-RADS 3 for SCC recurrence.

Study Design

Retrospective cohort study.

Methods

Neck CTs reported with NI-RADS between February 2020 and February 2021 were reviewed to identify patients undergoing surveillance for SCC assigned NI-RADS 3. Cancer recurrence, defined as positive biopsy result or treatment of clinically determined recurrence, was determined by electronic medical record review.

Results

During the study period, 580 neck CTs were reported with NI-RADS, of which 39 (7%) CTs obtained in 37 unique patients (28 male, 9 female, mean age 66.6 years) formed the study cohort. Biopsies were obtained in 23 lesions (45%), of which 17 (74%) were positive for recurrent SCC. One nondiagnostic biopsy was clinically determined to represent recurrence. Of 28 (55%) lesions not biopsied, 18 (64%) were ultimately treated as clinically determined recurrence. Thus, among 51 individual NI-RADS 3 lesions (32 primary, 19 neck), 36 (71%) represented recurrence.

Conclusion

The incidence of NI-RADS 3 lesions in our cohort was 7%. The biopsy rate was 45%, and the overall positive predictive value of NI-RADS 3 for recurrent SCC was 71%. Category 3 lesions are associated with substantial SCC recurrence risk and should be managed accordingly.

Level of Evidence

4 Laryngoscope, 132:1792–1797, 2022

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