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Parillo M, Mallio CA, Pileri M, Dirawe D, Romano A, Bozzao A, Weinberg B, Quattrocchi CC. Interrater reliability of Brain Tumor Reporting and Data System (BT-RADS) in the follow up of adult primary brain tumors: a single institution experience in Italy. Quant Imaging Med Surg 2023; 13:7423-7431. [PMID: 37969622 PMCID: PMC10644140 DOI: 10.21037/qims-22-850] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 12/12/2022] [Indexed: 11/17/2023]
Abstract
Background In 2018, a new system was proposed for classifying and reporting post-treatment adult brain tumor on magnetic resonance imaging, named as Brain Tumor Reporting and Data System (BT-RADS), that needs a validation by means of agreement studies. Methods A retrospective study was designed with the aim of identifying contrast-enhanced magnetic resonance imaging (MRI) of adult patients on follow-up for primary brain tumor at Fondazione Policlinico Campus Bio-Medico. Four radiologists (2 radiology residents, 1 general radiologist, 1 neuroradiologist) read and scored each study using the BT-RADS scoring tool, blinded to the MRI original report. Interobserver agreement and Fleiss' k were calculated to assess the level of diagnostic agreement. It was assessed how many times the assignment of different scoring of BT-RADS would have led to a different patient management. Results The total number of patients included in the study was 23 with 147 MRIs and a total of 588 BT-RADS scores retrospectively evaluated. The two most frequent tumor types were astrocytoma grade 4 (62%) and oligodendroglioma grade 3 (21%). The overall agreement rate for all 4 radiologists was 82% with a Fleiss' k of 0.70. The overall agreement rate between general radiologist and neuroradiologist was 91% with a Fleiss' k of 0.86. The overall agreement rate between 2 radiology residents and neuroradiologist was 80% with a Fleiss' k of 0.66. Astrocytoma grade 3 (k: 0.51) and oligodendroglioma grade 2 (k: 0.32) showed a poor agreement while higher values of agreement were found for astrocytoma grade 4 (k: 0.70), astrocytoma grade 2 (k: 0.78) and oligodendroglioma grade 3 (k: 0.78). All the radiologists agreed on BT-RADS assignment in 70% patients, three radiologists agreed in 17% and two radiologists agree in 13%. In no cases there was a complete disagreement among the readers. In 18% of cases the discrepancy in the estimated BT-RADS would have led to a different follow-up management. Conclusions BT-RADS can be considered a valid tool for neuroradiologists and radiologists even with little experience in the interpretation of patients' images during follow-up for adult primary brain tumors supporting standardized interpretation, reporting and clinical management.
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Affiliation(s)
- Marco Parillo
- Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Roma, Italy
- Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy
| | - Carlo Augusto Mallio
- Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Roma, Italy
- Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy
| | - Matteo Pileri
- Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Roma, Italy
- Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy
| | - Diab Dirawe
- Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Roma, Italy
- Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy
| | - Andrea Romano
- Neuroradiology Unit, NESMOS Department (Neuroscience, Mental Health, Sense Organs), Sant’Andrea Hospital, Medical and Psychology School, La Sapienza University, Rome, Italy
| | - Alessandro Bozzao
- Neuroradiology Unit, NESMOS Department (Neuroscience, Mental Health, Sense Organs), Sant’Andrea Hospital, Medical and Psychology School, La Sapienza University, Rome, Italy
| | - Brent Weinberg
- Neuroradiology Division, Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Carlo Cosimo Quattrocchi
- Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Roma, Italy
- Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy
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Wangaryattawanich P, Agarwal M, Rath TJ. PET/CT and PET/MRI Evaluation of Post-treatment Head and Neck. Semin Roentgenol 2023; 58:331-346. [PMID: 37507173 DOI: 10.1053/j.ro.2023.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 01/08/2023] [Indexed: 02/09/2023]
Affiliation(s)
| | - Mohit Agarwal
- Medical Collegeof Wisconsin, Milwaukee, Wisconsin USA
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Contemporary Imaging and Reporting Strategies for Head and Neck Cancer: MRI, FDG PET/MRI, NI-RADS, and Carcinoma of Unknown Primary- AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2023; 220:160-172. [PMID: 36069482 DOI: 10.2214/ajr.22.28120] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
CT, MRI, and FDG PET/CT play major roles in the diagnosis, staging, treatment planning, and surveillance of head and neck cancers. Nonetheless, an evolving understanding of head and neck cancer pathogenesis, advances in imaging techniques, changing treatment regimens, and a lack of standardized guidelines have led to areas of uncertainty in the imaging of head and neck cancer. This narrative review aims to address four issues in the contemporary imaging of head and neck cancer. The first issue relates to the standard and advanced sequences that should be included in MRI protocols for head and neck cancer imaging. The second issue relates to approaches to surveillance imaging after treatment of head and neck cancer, including the choice of imaging modality, the frequency of surveillance imaging, and the role of standardized reporting through the Neck Imaging Reporting and Data System. The third issue relates to the role of imaging in the setting of neck carcinoma of unknown primary. The fourth issue relates to the role of simultaneous PET/MRI in head and neck cancer evaluation. The authors of this review provide consensus opinions for each issue.
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Patel Z, Schroeder JA, Bunch PM, Evans JK, Steber CR, Johnson AG, Farris JC, Hughes RT. Discordance Between Oncology Clinician-Perceived and Radiologist-Intended Meaning of the Postradiotherapy Positron Emission Tomography/Computed Tomography Freeform Report for Head and Neck Cancer. JAMA Otolaryngol Head Neck Surg 2022; 148:927-934. [PMID: 35980655 PMCID: PMC9389438 DOI: 10.1001/jamaoto.2022.2290] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 06/29/2022] [Indexed: 02/01/2023]
Abstract
Importance Assessment of response after radiotherapy (RT) using 18F-fluorodeoxyglucose positron emission tomography (PET) with computed tomography (CT) is routine in managing head and neck squamous cell carcinoma (HNSCC). Freeform reporting may contribute to a clinician's misunderstanding of the nuclear medicine (NM) physician's image interpretation, with important clinical implications. Objective To assess clinician-perceived freeform report meaning and discordance with NM interpretation using the modified Deauville score (MDS). Design, Setting, and Participants In this retrospective cohort study that was conducted at an academic referral center and National Cancer Institute-designated Comprehensive Cancer Center and included patients with HNSCC treated with RT between January 2014 and December 2019 with a posttreatment PET/CT and 1 year or longer of follow-up, 4 masked clinicians independently reviewed freeform PET/CT reports and assigned perceived MDS responses. Interrater reliability was determined. Clinician consensus-perceived MDS was then compared with the criterion standard NM MDS response derived from image review. Data analysis was conducted between December 2021 and February 2022. Exposures Patients were treated with RT in either the definitive or adjuvant setting, with or without concurrent chemotherapy. They then underwent posttreatment PET/CT response assessment. Main Outcomes and Measures Clinician-perceived (based on the freeform PET/CT report) and NM-defined response categories were assigned according to MDS. Clinical outcomes included locoregional control, progression-free survival, and overall survival. Results A total of 171 patients were included (45 women [26.3%]; median [IQR] age, 61 [54-65] years), with 149 (87%) with stage III to IV disease. Of these patients, 52 (30%) received postoperative RT and 153 (89%) received concurrent chemotherapy. Interrater reliability was moderate (κ = 0.68) among oncology clinicians and minimal (κ = 0.36) between clinician consensus and NM. Exact agreement between clinician consensus and the NM was 64%. The NM-rated MDS was significantly associated with locoregional control, progression-free survival, and overall survival. Conclusions and Relevance The results of this cohort study suggest that considerable variation in perceived meaning exists among oncology clinicians reading freeform HNSCC post-RT PET/CT reports, with only minimal agreement between MDS derived from clinician perception and NM image interpretation. The NM use of a standardized reporting system, such as MDS, may improve clinician-NM communication and increase the value of HNSCC post-RT PET/CT reports.
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Affiliation(s)
- Zachary Patel
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jennifer A. Schroeder
- Department of Nuclear Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Paul M. Bunch
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Joni K. Evans
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Cole R. Steber
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Adam G. Johnson
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Joshua C. Farris
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Ryan T. Hughes
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, North Carolina
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Jajodia A, Mandal G, Yadav V, Khoda J, Goyal J, Pasricha S, Puri S, Dewan A. Adding MR Diffusion Imaging and T2 Signal Intensity to Neck Imaging Reporting and Data System Categories 2 and 3 in Primary Sites of Postsurgical Oral Cavity Carcinoma Provides Incremental Diagnostic Value. AJNR Am J Neuroradiol 2022; 43:1018-1023. [PMID: 35738671 DOI: 10.3174/ajnr.a7553] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 05/03/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The NI-RADS lexicon doesn't use ADC parameters and T2 weighted signal for ascribing categories. We explored ADC, DWI, and T2WI to examine the diagnostic accuracy in primary sites of postsurgical oral cavity carcinoma in the Neck Imaging Reporting and Data System (NI-RADS) categories 2 and 3. MATERIALS AND METHODS We performed a retrospective analysis in clinically asymptomatic post-surgically treated patients with oral cavity squamous cell carcinoma who underwent contrast-enhanced MRI between January 2013 and January 2016. Histopathology and follow-up imaging were used to ascertain the presence or absence of malignancy in subjects with "new enhancing lesions," which were interpreted according to the NI-RADS lexicon by experienced readers, including NI-RADS 2 and 3 lesions in the primary site. NI-RADS that included T2WI and DWI (referred to as NI-RADS A) and ADC (using the best cutoff from receiver operating characteristic curve analysis, NI-RADS B) was documented in an Excel sheet to up- or downgrade existing classic American College of Radiology NI-RADS and calculate diagnostic accuracy. RESULTS Sixty-one malignant and 23 benign lesions included in the study were assigned American College of Radiology NI-RADS 2 (n = 33) and NI-RADS 3 (n = 51) categories. The recurrence rate was 90% (46/51) for NI-RADS three, 45% (15/33) for NI-RADS 2, and 73% (61/84) overall. T2WI signal morphology was intermediate in 45 subjects (53.5%) and restricted DWI in 54 (64.2%). Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the American College of Radiology NI-RADS were the following: NI-RADS (75.4%, 78.3%, 90.1%, 54.5%, and 76.1%); NI-RADS A (79.1%, 81.2%, 91.9%, 59.1%, and 79.6%); and NI-RADS B (88.9%, 72.7%, 91.4%, 66.7%, and 85.1%), respectively. CONCLUSIONS Adding MR imaging diagnostic characteristics like T2WI, DWI, and ADC to the American College of Radiology NI-RADS improved diagnostic accuracy and sensitivity.
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Affiliation(s)
- A Jajodia
- From the Departments of Radiology (A.J., J.K., J.G., S.Puri.)
| | - G Mandal
- Surgical Oncology (G.M., V.Y., A.D.)
| | - V Yadav
- Surgical Oncology (G.M., V.Y., A.D.)
| | - J Khoda
- From the Departments of Radiology (A.J., J.K., J.G., S.Puri.)
| | - J Goyal
- From the Departments of Radiology (A.J., J.K., J.G., S.Puri.)
| | - S Pasricha
- Laboratory & Histopathology (S.Pasricha.), Rajiv Gandhi Cancer Institute, Delhi, India
| | - S Puri
- From the Departments of Radiology (A.J., J.K., J.G., S.Puri.)
| | - A Dewan
- Surgical Oncology (G.M., V.Y., A.D.)
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Wiggins RH, Hoffman JM, Fine GC, Covington MF, Salem AE, Koppula BR, Morton KA. PET-CT in Clinical Adult Oncology-V. Head and Neck and Neuro Oncology. Cancers (Basel) 2022; 14:cancers14112726. [PMID: 35681709 PMCID: PMC9179458 DOI: 10.3390/cancers14112726] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/25/2022] [Accepted: 05/25/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Positron emission tomography (PET), typically combined with computed tomography (CT) has become a critical advanced imaging technique in oncology. With PET-CT, a radioactive molecule (radiotracer) is injected in the bloodstream and localizes to sites of tumor because of specific cellular features of the tumor that accumulate the targeting radiotracer. The CT scan, performed at the same time, provides information to facilitate attenuation correction, so that radioactivity from deep or dense structures can be better visualized, but with head and neck malignancies it is critical to provide correlating detailed anatomic imaging. PET-CT has a variety of applications in oncology, including staging, therapeutic response assessment, restaging, and surveillance. This series of six review articles provides an overview of the value, applications, and imaging and interpretive strategies of PET-CT in the more common adult malignancies. The fifth report in this series provides a review of PET-CT imaging in head and neck and neuro oncology. Abstract PET-CT is an advanced imaging modality with many oncologic applications, including staging, assessment of response to therapy, restaging, and longitudinal surveillance for recurrence. The goal of this series of six review articles is to provide practical information to providers and imaging professionals regarding the best use of PET-CT for specific oncologic indications, and the potential pitfalls and nuances that characterize these applications. In addition, key tumor-specific clinical information and representative PET-CT images are provided to outline the role that PET-CT plays in the management of oncology patients. Hundreds of different types of tumors exist, both pediatric and adult. A discussion of the role of FDG PET for all of these is beyond the scope of this review. Rather, this series of articles focuses on the most common adult malignancies that may be encountered in clinical practice. It also focuses on FDA-approved and clinically available radiopharmaceuticals, rather than research tracers or those requiring a local cyclotron. The fifth review article in this series focuses on PET-CT imaging in head and neck tumors, as well as brain tumors. Common normal variants, key anatomic features, and benign mimics of these tumors are reviewed. The goal of this review article is to provide the imaging professional with guidance in the interpretation of PET-CT for the more common head and neck malignancies and neuro oncology, and to inform the referring providers so that they can have realistic expectations of the value and limitations of PET-CT for the specific type of tumor being addressed.
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Affiliation(s)
- Richard H. Wiggins
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (R.H.W.); (J.M.H.); (G.C.F.); (M.F.C.); (A.E.S.); (B.R.K.)
| | - John M. Hoffman
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (R.H.W.); (J.M.H.); (G.C.F.); (M.F.C.); (A.E.S.); (B.R.K.)
| | - Gabriel C. Fine
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (R.H.W.); (J.M.H.); (G.C.F.); (M.F.C.); (A.E.S.); (B.R.K.)
| | - Matthew F. Covington
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (R.H.W.); (J.M.H.); (G.C.F.); (M.F.C.); (A.E.S.); (B.R.K.)
| | - Ahmed Ebada Salem
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (R.H.W.); (J.M.H.); (G.C.F.); (M.F.C.); (A.E.S.); (B.R.K.)
- Department of Radiodiagnosis and Intervention, Faculty of Medicine, Alexandria University, Alexandria 21526, Egypt
| | - Bhasker R. Koppula
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (R.H.W.); (J.M.H.); (G.C.F.); (M.F.C.); (A.E.S.); (B.R.K.)
| | - Kathryn A. Morton
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (R.H.W.); (J.M.H.); (G.C.F.); (M.F.C.); (A.E.S.); (B.R.K.)
- Intermountain Healthcare Hospitals, Summit Physician Specialists, Murray, UT 84123, USA
- Correspondence: ; Tel.: +1-801-581-7553
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Baugnon KL. NI-RADS to Predict Residual or Recurrent Head and Neck Squamous Cell Carcinoma. Neuroimaging Clin N Am 2021; 32:1-18. [PMID: 34809832 DOI: 10.1016/j.nic.2021.08.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
American College of Radiology NI-RADS is a surveillance imaging template used to predict residual or recurrent tumor in the setting of head and neck cancer. The lexicon and imaging template provides a framework to standardize the interpretations and communications with referring physicians and provides linked management recommendations, which add value in patient care. Studies have shown reasonable interreader agreement and excellent discriminatory power among the different NI-RADS categories. This article reviews the literature associated with NI-RADS and serves as a practical guide for radiologists interested in using the NI-RADS surveillance template at their institution, highlighting frequently encountered pearls and pitfalls.
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Affiliation(s)
- Kristen L Baugnon
- Department of Radiology and Imaging Sciences, Division of Neuroradiology, Head and Neck Imaging, Emory University, 1364 Clifton Road, Atlanta, GA 30322, USA.
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Sabour S. Interrater Reliability among Radiologists Reading PET/Contrast-enhanced CT Scans Using NI-RADS: Methodologic Issues. Radiol Imaging Cancer 2021; 3:e210062. [PMID: 34533377 DOI: 10.1148/rycan.2021210062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Siamak Sabour
- Department of Clinical Epidemiology, School of Public Health and Safety, and Safety Promotions and Injury Prevention Research Centre, Shahid Beheshti University of Medical Sciences, Chamran Highway, Velenjak, Daneshjoo Blvd, Tehran, I.R. Iran 198353-5511
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Bunch PM, Meegalla NT, Abualruz AR, Frizzell BA, Patwa HS, Porosnicu M, Williams DW, Aiken AH, Hughes RT. Initial Referring Physician and Radiologist Experience with Neck Imaging Reporting and Data System. Laryngoscope 2021; 132:349-355. [PMID: 34272871 DOI: 10.1002/lary.29765] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 06/29/2021] [Accepted: 07/02/2021] [Indexed: 11/10/2022]
Abstract
OBJECTIVES/HYPOTHESIS Neck Imaging Reporting and Data System (NI-RADS) is a radiology reporting system developed for head and neck cancer surveillance imaging, using standardized terminology, numeric levels of suspicion, and linked management recommendations. Through a multidisciplinary, interdepartmental quality improvement initiative, we implemented NI-RADS for the reporting of head and neck cancer surveillance CT. Our objective is to summarize our initial experience from the standpoints of head and neck cancer providers and radiologists. STUDY DESIGN Quality improvement study. METHODS Before and 3 months post-implementation, surveys were offered to referring physicians (n = 21 pre-adoption; 22 post-adoption) and radiologists (n = 17 pre- and post-adoption). NI-RADS utilization was assessed over time. RESULTS Survey response rates were 62% (13/21) and 73% (16/22) for referring physicians pre- and post-adoption, respectively, and 94% (16/17) for radiologists pre- and post-adoption. Among post-adoption provider respondents, 100% (16/16) strongly agreed or agreed with "I want our radiologists to continue using NI-RADS," "The NI-RADS numerical rating of radiologic suspicion is helpful," and "The language and style of NI-RADS neck CT reports are clear and understandable." Among radiologist respondents, 88% (14/16) strongly agreed or agreed with "NI-RADS improves consistency among our radiologists in the reporting of surveillance neck CTs." Radiologist NI-RADS utilization increased over time (46% month 1; 72% month 3). CONCLUSIONS Most referring physicians and radiologists preferred NI-RADS. Head and neck cancer providers indicated that NI-RADS reports are clear, understandable, direct, and helpful in guiding clinical management. Radiologists indicated that NI-RADS improves radiologist consistency in the reporting of surveillance neck CT, and radiologists increasingly used NI-RADS over time. LEVEL OF EVIDENCE Level 4 Laryngoscope, 2021.
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Affiliation(s)
- Paul M Bunch
- Department of Radiology, Wake Forest School of Medicine, Medical Center Boulevard, Winston Salem, North Carolina, U.S.A
| | - Nuwan T Meegalla
- Department of Surgery, Wake Forest School of Medicine, Winston Salem, North Carolina, U.S.A
| | - Abdul-Rahman Abualruz
- Department of Radiology, Wake Forest School of Medicine, Winston Salem, North Carolina, U.S.A
| | - Bart A Frizzell
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston Salem, North Carolina, U.S.A
| | - Hafiz S Patwa
- Department of Otolaryngology - Head and Neck Surgery, Wake Forest School of Medicine, Winston Salem, North Carolina, U.S.A
| | - Mercedes Porosnicu
- Department of Hematology and Oncology, Wake Forest School of Medicine, Winston Salem, North Carolina, U.S.A
| | - Daniel W Williams
- Department of Radiology, Wake Forest School of Medicine, Winston Salem, North Carolina, U.S.A
| | - Ashley H Aiken
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, U.S.A
| | - Ryan T Hughes
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston Salem, North Carolina, U.S.A
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