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Matsuo M, Masuda M, Yamauchi M, Hashimoto K, Kogo R, Sato M, Masuda S, Nakagawa T. Progression-Free Survival and Treatment-Free Interval in Head and Neck Cancer with Long-Term Response to Nivolumab: Timing of Active Discontinuation. Cancers (Basel) 2024; 16:2527. [PMID: 39061167 PMCID: PMC11274866 DOI: 10.3390/cancers16142527] [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: 06/20/2024] [Revised: 07/08/2024] [Accepted: 07/10/2024] [Indexed: 07/28/2024] Open
Abstract
The optimal timing for actively discontinuing immune checkpoint inhibitor therapy in long-term responders with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC) remains unresolved. We conducted a retrospective study of 246 patients with R/M HNSCC treated with nivolumab to determine the optimal timing to actively discontinue nivolumab therapy. We examined the point at which progression-free survival (PFS) plateaued in all cases. We compared the prognosis of 19 (7.7%) ongoing cases and 227 (92.3%) discontinued cases and analyzed treatment duration and treatment-free interval (TFI). The 6-year overall survival was 11.8% (median, 12.1), and the 6-year PFS was 15.3% (median, 3.0). The PFS curve remained stable for 3 years. The median duration of nivolumab treatment was 2.9 months (range 0.03-81.9): Ongoing group, 41.8 (5.6-81.9); Decision group, 36.8 (4.0-70.1); Toxicity group, 30.6 (2.8-64.8); and progressive disease group, 2.0 (0.03-42.9). TFI in the Decision group was 15.1 months (0.6-61.6) and 30.6 months (2.8-64.8) in the Toxicity group. Long-term responses in R/M HNSCC patients treated with nivolumab are rare but gradually increasing. For this patient group, our best estimate of the optimal time to end treatment is 3 years, as the PFS in this study reached a plateau at that timepoint.
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Affiliation(s)
- Mioko Matsuo
- Department of Otorhinolaryngology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; (K.H.); (R.K.); (M.S.); (S.M.); (T.N.)
| | - Muneyuki Masuda
- Department of Head and Neck Surgery, National Hospital Organization Kyushu Cancer Center, 3-1-1 Notame, Minami-ku, Fukuoka 811-1395, Japan;
| | - Moriyasu Yamauchi
- Department of Otolaryngology, Head and Neck Surgery, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga 849-8501, Japan;
| | - Kazuki Hashimoto
- Department of Otorhinolaryngology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; (K.H.); (R.K.); (M.S.); (S.M.); (T.N.)
| | - Ryunosuke Kogo
- Department of Otorhinolaryngology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; (K.H.); (R.K.); (M.S.); (S.M.); (T.N.)
| | - Masanobu Sato
- Department of Otorhinolaryngology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; (K.H.); (R.K.); (M.S.); (S.M.); (T.N.)
| | - Shogo Masuda
- Department of Otorhinolaryngology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; (K.H.); (R.K.); (M.S.); (S.M.); (T.N.)
| | - Takashi Nakagawa
- Department of Otorhinolaryngology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; (K.H.); (R.K.); (M.S.); (S.M.); (T.N.)
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Caldarella C, De Risi M, Massaccesi M, Miccichè F, Bussu F, Galli J, Rufini V, Leccisotti L. Role of 18F-FDG PET/CT in Head and Neck Squamous Cell Carcinoma: Current Evidence and Innovative Applications. Cancers (Basel) 2024; 16:1905. [PMID: 38791983 PMCID: PMC11119768 DOI: 10.3390/cancers16101905] [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: 04/05/2024] [Revised: 05/08/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024] Open
Abstract
This article provides an overview of the use of 18F-FDG PET/CT in various clinical scenarios of head-neck squamous cell carcinoma, ranging from initial staging to treatment-response assessment, and post-therapy follow-up, with a focus on the current evidence, debated issues, and innovative applications. Methodological aspects and the most frequent pitfalls in head-neck imaging interpretation are described. In the initial work-up, 18F-FDG PET/CT is recommended in patients with metastatic cervical lymphadenectomy and occult primary tumor; moreover, it is a well-established imaging tool for detecting cervical nodal involvement, distant metastases, and synchronous primary tumors. Various 18F-FDG pre-treatment parameters show prognostic value in terms of disease progression and overall survival. In this scenario, an emerging role is played by radiomics and machine learning. For radiation-treatment planning, 18F-FDG PET/CT provides an accurate delineation of target volumes and treatment adaptation. Due to its high negative predictive value, 18F-FDG PET/CT, performed at least 12 weeks after the completion of chemoradiotherapy, can prevent unnecessary neck dissections. In addition to radiomics and machine learning, emerging applications include PET/MRI, which combines the high soft-tissue contrast of MRI with the metabolic information of PET, and the use of PET radiopharmaceuticals other than 18F-FDG, which can answer specific clinical needs.
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Affiliation(s)
- Carmelo Caldarella
- Nuclear Medicine Unit, Department of Radiology and Oncologic Radiotherapy, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (C.C.); (M.D.R.); (L.L.)
| | - Marina De Risi
- Nuclear Medicine Unit, Department of Radiology and Oncologic Radiotherapy, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (C.C.); (M.D.R.); (L.L.)
| | - Mariangela Massaccesi
- Radiation Oncology Unit, Department of Radiology and Oncologic Radiotherapy, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy;
| | - Francesco Miccichè
- Radiation Oncology Unit, Ospedale Isola Tiberina—Gemelli Isola, 00186 Rome, Italy;
| | - Francesco Bussu
- Otorhinolaryngology Operative Unit, Azienda Ospedaliero Universitaria Sassari, 07100 Sassari, Italy;
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy
| | - Jacopo Galli
- Otorhinolaryngology Unit, Department of Neurosciences, Sensory Organs and Thorax, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy;
- Section of Otolaryngology, Department of Head-Neck and Sensory Organs, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Vittoria Rufini
- Nuclear Medicine Unit, Department of Radiology and Oncologic Radiotherapy, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (C.C.); (M.D.R.); (L.L.)
- Section of Nuclear Medicine, Department of Radiological Sciences and Hematology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Lucia Leccisotti
- Nuclear Medicine Unit, Department of Radiology and Oncologic Radiotherapy, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (C.C.); (M.D.R.); (L.L.)
- Section of Nuclear Medicine, Department of Radiological Sciences and Hematology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
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3
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Parillo M, Mallio CA, Van der Molen AJ, Rovira À, Dekkers IA, Karst U, Stroomberg G, Clement O, Gianolio E, Nederveen AJ, Radbruch A, Quattrocchi CC. The role of gadolinium-based contrast agents in magnetic resonance imaging structured reporting and data systems (RADS). MAGMA (NEW YORK, N.Y.) 2024; 37:15-25. [PMID: 37702845 PMCID: PMC10876744 DOI: 10.1007/s10334-023-01113-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 06/22/2023] [Accepted: 07/13/2023] [Indexed: 09/14/2023]
Abstract
Among the 28 reporting and data systems (RADS) available in the literature, we identified 15 RADS that can be used in Magnetic Resonance Imaging (MRI). Performing examinations without using gadolinium-based contrast agents (GBCA) has benefits, but GBCA administration is often required to achieve an early and accurate diagnosis. The aim of the present review is to summarize the current role of GBCA in MRI RADS. This overview suggests that GBCA are today required in most of the current RADS and are expected to be used in most MRIs performed in patients with cancer. Dynamic contrast enhancement is required for correct scores calculation in PI-RADS and VI-RADS, although scientific evidence may lead in the future to avoid the GBCA administration in these two RADS. In Bone-RADS, contrast enhancement can be required to classify an aggressive lesion. In RADS scoring on whole body-MRI datasets (MET-RADS-P, MY-RADS and ONCO-RADS), in NS-RADS and in Node-RADS, GBCA administration is optional thanks to the intrinsic high contrast resolution of MRI. Future studies are needed to evaluate the impact of the high T1 relaxivity GBCA on the assignment of RADS scores.
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Affiliation(s)
- Marco Parillo
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128, Rome, Italy
- Research Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128, Rome, Italy
| | - Carlo Augusto Mallio
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128, Rome, Italy
- Research Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128, Rome, Italy
| | - Aart J Van der Molen
- Department of Radiology, C-2S, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Àlex Rovira
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ilona A Dekkers
- Department of Radiology, C-2S, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Uwe Karst
- Institute of Inorganic and Analytical Chemistry, University of Münster, Corrensstr. 48, 48149, Münster, Germany
| | - Gerard Stroomberg
- RIWA-Rijn-Association of River Water Works, Groenendael 6, 3439 LV, Nieuwegein, The Netherlands
| | - Olivier Clement
- Service de Radiologie, Université de Paris, AP-HP, Hôpital Européen Georges Pompidou, DMU Imagina, 20 Rue LeBlanc, 75015, Paris, France
| | - Eliana Gianolio
- Department of Molecular Biotechnologies and Health Science, University of Turin, Via Nizza 52, 10125, Turin, Italy
| | - Aart J Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Alexander Radbruch
- Department of Neuroradiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127, Bonn, Germany
| | - Carlo Cosimo Quattrocchi
- Centre for Medical Sciences-CISMed, University of Trento, Via S. Maria Maddalena 1, 38122, Trento, Italy.
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Gaffney J, Ramzan A, Dinizulu T, Maley C, Onamusi O, Motamedi-Ghahfarokhi G, Price G, Metcalf R, Garcez K, Hughes C, Lee L, Thomson D, Price J, Jain Y, McPartlin A. Association of follow-up imaging frequency with temporal incidence and patterns of distant failure following (chemo) radiotherapy for HPV related oropharyngeal cancer. Oral Oncol 2024; 148:106645. [PMID: 37992488 DOI: 10.1016/j.oraloncology.2023.106645] [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] [Received: 07/24/2023] [Revised: 11/17/2023] [Accepted: 11/19/2023] [Indexed: 11/24/2023]
Abstract
OBJECTIVES Emerging data supports radical intent therapy for oligometastatic (OM) relapsed human papilloma virus (HPV+) related oropharyngeal cancer (OPC). We assess the association of follow-up imaging frequency amongst HPV + OPC, with temporal and spatial patterns of distant relapse, to inform rationalisation of routine post-treatment imaging. MATERIALS AND METHODS A retrospective single centre cohort study was carried out of consecutive HPV + OPC patients treated with radical intent (chemo)radiotherapy ((CT)RT) between 2011 and 2019. OM state was defined as ≤ 5 metastasis, none larger than 3 cm (OMs) or, if interval from last negative surveillance imaging > 6-months, then ≤ 10 metastasis, none larger than 5 cm, (OMp). Patients not meeting OMs / OMp criteria were deemed to have incurable diffuse metastatic disease (DMdiffuse). RESULTS 793 HPV-OPC patients were identified with median follow-up 3.15years (range 0.2-8.9). 52 (6.6 %) patients had radiologically identified DM at first failure and were considered for analysis. The median time to recurrence was 15.1 months (range: 2.6-63 months). 87 % of distant metastasis (DM) occurred in the first two years after treatment. Twenty-seven (52 %) patients had OM (OMs or OMp) at time of failure, with 31 % having OMs. The median time from completion of treatment to diagnosis of DMdiffuse vs OM was 22.2 months (range: 2.6-63.1 months) vs 11.6 months (range: 3.5-32.5 months). The probability of being diagnosed with OM vs DMdiffuse increased with reducing interval from last negative surveillance scan to imaging identifying DM (≤6 months 88.9 %, 7-12 months 71.4 %, 13-24 months 35 %, > 24 months 22.2 %). CONCLUSION We demonstrate that a reduced interval between last negative imaging and subsequent radiological diagnosis of DM is associated with increased likelihood of identification of OM disease. Consideration of increased frequency of surveillance imaging during the first two years of follow up is supported, particularly for patients at high risk of distant failure.
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Affiliation(s)
- John Gaffney
- The Christie NHS Foundation Trust, Manchester, UK.
| | | | | | | | | | | | - Gareth Price
- The Christie NHS Foundation Trust, Manchester, UK; The University of Manchester, Manchester, UK
| | | | - Kate Garcez
- The Christie NHS Foundation Trust, Manchester, UK
| | | | - Lip Lee
- The Christie NHS Foundation Trust, Manchester, UK
| | | | - James Price
- The Christie NHS Foundation Trust, Manchester, UK; The University of Manchester, Manchester, UK
| | - Yatin Jain
- The Christie NHS Foundation Trust, Manchester, UK
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Li W, Sun Y, Shang W, Xu H, Zhang H, Lu F. Diagnostic accuracy of NI-RADS for prediction of head and neck squamous cell carcinoma: a systematic review and meta-analysis. LA RADIOLOGIA MEDICA 2024; 129:70-79. [PMID: 37904037 DOI: 10.1007/s11547-023-01742-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 10/05/2023] [Indexed: 11/01/2023]
Abstract
OBJECTIVES This study aimed to assess the diagnostic performance of NI-RADS for the prediction of recurrence in patients treated for Head and Neck Squamous Cell Carcinoma (HNSCC). METHODS A literature search was conducted using various databases to identify relevant articles published from June 2016 onwards. We included studies reporting the diagnostic accuracy of NI-RADS in distinguishing recurrence in patients undergoing imaging surveillance, with pathologic results and/or follow-up as the reference standard. Summary estimates of diagnostic accuracy in terms of sensitivity, specificity, positive likelihood ratio (LR +), negative likelihood ratio (LR -), and diagnostic odds ratio (DOR) were calculated with the hierarchical summary receiver operating characteristic (HSROC) model. Meta-regression and subgroup analyses were conducted to investigate different clinical settings. Study quality was evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. RESULTS A total of 12 studies were included in the current meta-analysis. The pooled sensitivity and specificity were 0.69 (95% CI 0.59-0.79) and 0.94 (95% CI 0.89-0.97), respectively. For the primary site, the pooled summary estimates were 0.67 (95% CI 0.53-0.78) and 0.95 (95% CI 0.90-0.97), for the nodal sites were 0.64 (95% CI 0.44-0.80) and 0.99 (95% CI 0.98-0.99), respectively. The recurrence rate for NI-RADS categories 1-3 was 0.03 (95% CI 0.02-0.05), 0.13 (95% CI 0.10-0.15), and 0.77 (95% CI 0.73-0.81). Meta-regression revealed that the type of analysis (per person vs. per site) and number of sites (≤ 200 vs. > 200) were significant factors associated with heterogeneity. CONCLUSIONS NI-RADS demonstrated high specificity but moderate sensitivity in patients after treatment for HNSCC. Summary estimates showed a significantly higher malignancy rate for NI-RADS category 3 compared to category 2.
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Affiliation(s)
- Wei Li
- Department of Medical Imaging, Jiangsu Vocational College of Medicine, Yancheng, China
| | - Yuan Sun
- Department of Burn and Plastic Surgery, Affiliate Huaihai Hospital of Xuzhou Medical University, Xuzhou, China
| | - Wenwen Shang
- Department of Medical Imaging, Jiangsu Vocational College of Medicine, Yancheng, China
| | - Haibing Xu
- Department of Medical Imaging, Jiangsu Vocational College of Medicine, Yancheng, China
| | - Hui Zhang
- Department of Medical Imaging, Jiangsu Vocational College of Medicine, Yancheng, China.
| | - Feng Lu
- Department of Radiology, Wuxi No. 2 People's Hospital, Wuxi, China.
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Paul S, Gupta T, Purandare N, Joshi K, Ghosh-Laskar S, Budrukkar A, Swain M, Sinha S, Kumar A, Joshi A, Prabhash K, Nair S, Rangarajan V, Agarwal JP. Diagnostic Performance of Response Assessment FDG-PET/CECT in HNSCC Treated With Definitive Radio(chemo)therapy Using NI-RADS. Otolaryngol Head Neck Surg 2023; 169:938-947. [PMID: 36856038 DOI: 10.1002/ohn.305] [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] [Received: 10/18/2022] [Revised: 01/12/2023] [Accepted: 01/30/2023] [Indexed: 03/02/2023]
Abstract
OBJECTIVE To assess the diagnostic performance of response assessment 18F-fluorodeoxyglucose positron emission tomography/contrast-enhanced computed tomography (FDG-PET/CECT) following definitive radio(chemo)therapy in head and neck squamous cell carcinoma (HNSCC) using Neck Imaging Reporting and Data System (NI-RADS). STUDY DESIGN A retrospective analysis from a prospectively maintained dataset. SETTING Tertiary-care comprehensive cancer center in a low-middle-income country. METHODS Adults with newly diagnosed, biopsy-proven, nonmetastatic HNSCC treated with definitive radio(chemo)therapy were included. Posttreatment response assessment FDG-PET/CECT scans were retrospectively assigned NI-RADS categories (1-3) for the primary site, neck, and both sites combined. Locoregional recurrence occurring within 2-years was defined as the event of interest. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall accuracy were calculated. Locoregional control stratified by NI-RADS categories was computed with the Kaplan-Meier method and compared using the log-rank test. RESULTS Posttreatment FDG-PET/CECT scans were available in 190 patients constituting the present study cohort. Sensitivity, specificity, PPV, NPV, and overall accuracy of the NI-RADS template for the primary site was 73.5%, 81.4%, 46.3%, 93.4%, and 80.0%, respectively. Similar metrics for the neck were 72.7%, 87.5%, 43.2%, 96.1%, and 85.8%, respectively. Combining primary site and neck, the corresponding metrics of diagnostic accuracy were 84.4%, 69.7%, 46.3%, 93.5%, and 73.2%, respectively. At a median follow-up of 40 months, Kaplan-Meier estimates of 2-year locoregional control were significantly higher for NI-RADS category 1 (94.2%) compared to NI-RADS category 2 (69.4%) and category 3 (20.4%), respectively (stratified log-rank p < .0001). CONCLUSION FDG-PET/CECT using the NI-RADS template is associated with good diagnostic performance and prognostic utility in HNSCC treated with definitive radio(chemo)therapy.
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Affiliation(s)
- Sonz Paul
- Department of Radiation Oncology, Tata Memorial Hospital (TMH)/Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Tejpal Gupta
- Department of Radiation Oncology, Tata Memorial Hospital (TMH)/Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Nilendu Purandare
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital (TMH)/Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Kishore Joshi
- Department of Medical Physics, Tata Memorial Hospital (TMH)/Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Sarbani Ghosh-Laskar
- Department of Radiation Oncology, Tata Memorial Hospital (TMH)/Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Ashwini Budrukkar
- Department of Radiation Oncology, Tata Memorial Hospital (TMH)/Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Monali Swain
- Department of Radiation Oncology, Tata Memorial Hospital (TMH)/Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Shwetabh Sinha
- Department of Radiation Oncology, Tata Memorial Hospital (TMH)/Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Anuj Kumar
- Department of Radiation Oncology, Tata Memorial Hospital (TMH)/Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Amit Joshi
- Department of Medical Oncology, Tata Memorial Hospital (TMH)/Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Kumar Prabhash
- Department of Medical Oncology, Tata Memorial Hospital (TMH)/Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Sudhir Nair
- Department of Head and Neck Surgery, Tata Memorial Hospital (TMH)/Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Venkatesh Rangarajan
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital (TMH)/Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
| | - Jai Prakash Agarwal
- Department of Radiation Oncology, Tata Memorial Hospital (TMH)/Advanced Centre for Treatment Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, India
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7
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Mahajan A, Unde H, Sable NP, Shukla S, Vaish R, Patil V, Agarwal U, Agrawal A, Noronha V, Joshi A, Kapoor A, Menon N, Agarwal JP, Laskar SG, Dcruz AK, Chaturvedi P, Pai P, Rane SU, Bal M, Patil A, Prabhash K. Response assessment of post-treatment head and neck cancers to determine further management using NI-RADS (Neck Imaging Reporting and Data System): a subgroup analysis of a randomized controlled trial. Front Oncol 2023; 13:1200366. [PMID: 37810970 PMCID: PMC10552531 DOI: 10.3389/fonc.2023.1200366] [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: 04/04/2023] [Accepted: 08/03/2023] [Indexed: 10/10/2023] Open
Abstract
Objective Interpreting complex post-treatment changes in head and neck cancer (HNC) is challenging with further added perplexity due to variable interobserver interpretation and hence evolved the NI-RADS lexicon. We evaluated the accuracy of NI-RADS in predicting disease status on 1st post-treatment follow-up CECT in a homogenous cohort of those who received only chemoradiation. Methods Retrospective analysis of imaging was done for LASHNC patients who received radical chemoradiation in an open-label, investigator-initiated, phase 3 randomized trial (2012-2018) randomly assigned to either radical radiotherapy with concurrent weekly cisplatin (CRT) or CRT with the same schedule plus weekly nimotuzumab (NCRT). 536 patients were accrued, and 74 patients who did not undergo PET/CECT after 8 weeks post-CRT were excluded. After assessing 462 patients for eligibility to allocate NI-RADS at primary and node sites, 435 cases fell in the Primary disease cohort and 412 cases in the Node disease cohort. We evaluated sensitivity, disease prevalence, the positive and negative predictive value of the NI-RADS lexicon, and accuracy, which were expressed as percentages. We also prepared flow charts to determine concordance with allocated NI-RADS category and established accuracy with which it can identify disease status. Results Out of 435 primary disease cohort, 92%, 55%, 48%,70% were concordant and had 100%, 72%, 70%, 82% accuracy in NI-RADS1 (n=12), NI-RADS2 (n=261), NIRADS3 (n=105), and NI-RADS 4 (n=60) respectively. Out of 412 nodes disease cohort, 95%, 90%, 48%, 70%were concordant and had 92%, 97%, 90%, 67% accuracy in NI-RADS1 (n=57), NI-RADS2 (n=255), NI-RADS3 (n=105) and NI-RADS4 (n=60) respectively. % concordance of PET/CT and CECT across all primary and node disease cohorts revealed that PET/CT was 91% concordant in primary NI-RADS2 as compared to 55% concordance of CECT whereas concordance of CECT was better with 57% in primary NI-RADS3 cohort as compared to PET/CT concordance of 41%. Conclusion The accuracy with which the NI-RADS lexicon performed in our study at node sites was better than that at the primary site. There is a great scope of research to understand if CECT performs better over clinical disease status in NI-RADS 3 and 4 categories. Further research should be carried out to understand if PET/CECT can be used for close interval follow-up in stage III/IV NI-RADS 2 cases.
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Affiliation(s)
- Abhishek Mahajan
- Department of Radiodiagnosis, The Clatterbridge Cancer Centre, University of Liverpool, Liverpool, United Kingdom
- Department of Radiodiagnosis and Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Himangi Unde
- Department of Radiodiagnosis and Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Nilesh P. Sable
- Department of Radiodiagnosis and Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Shreya Shukla
- Department of Radiodiagnosis and Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Richa Vaish
- Department of Head and Neck Surgery, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Vijay Patil
- Department of Medical Oncology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Ujjwal Agarwal
- Department of Radiodiagnosis and Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Archi Agrawal
- Department of Nuclear Medicine, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Vanita Noronha
- Department of Medical Oncology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Amit Joshi
- Department of Medical Oncology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Akhil Kapoor
- Department of Medical Oncology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Nandini Menon
- Department of Medical Oncology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Jai Prakash Agarwal
- Department of Radiation Oncology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Sarbani Ghosh Laskar
- Department of Radiation Oncology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Anil Keith Dcruz
- Department of Head and Neck Surgery, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Pankaj Chaturvedi
- Department of Head and Neck Surgery, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Prathamesh Pai
- Department of Head and Neck Surgery, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Swapnil Ulhas Rane
- Department of Pathology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Munita Bal
- Department of Pathology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Asawari Patil
- Department of Pathology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Kumar Prabhash
- Department of Medical Oncology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
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8
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Tran NA, Gorolay VV, Wu X. Differentiating Post-treatment Changes from Tumor Recurrence in the Oral Cavity and Oropharynx. Semin Roentgenol 2023; 58:272-289. [PMID: 37507169 DOI: 10.1053/j.ro.2023.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 03/17/2023] [Accepted: 04/02/2023] [Indexed: 07/30/2023]
Affiliation(s)
- Ngoc-Anh Tran
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Vineet V Gorolay
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Xin Wu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA.
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9
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Abidi SA, Hoch MJ, Hu R, Sadigh G, Voloschin A, Olson JJ, Shu HKG, Neill SG, Weinberg BD. Using Brain Tumor MRI Structured Reporting to Quantify the Impact of Imaging on Brain Tumor Boards. Tomography 2023; 9:859-870. [PMID: 37104141 PMCID: PMC10146901 DOI: 10.3390/tomography9020070] [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: 02/28/2023] [Revised: 04/06/2023] [Accepted: 04/13/2023] [Indexed: 04/28/2023] Open
Abstract
Multidisciplinary tumor boards (TB) are an essential part of brain tumor care, but quantifying the impact of imaging on patient management is challenging due to treatment complexity and a lack of quantitative outcome measures. This work uses a structured reporting system for classifying brain tumor MRIs, the brain tumor reporting and data system (BT-RADS), in a TB setting to prospectively assess the impact of imaging review on patient management. Published criteria were used to prospectively assign three separate BT-RADS scores (an initial radiology report, secondary TB presenter review, and TB consensus) to brain MRIs reviewed at an adult brain TB. Clinical recommendations at TB were noted and management changes within 90 days after TB were determined by chart review. In total, 212 MRIs in 130 patients (median age = 57 years) were reviewed. Agreement was 82.2% between report and presenter, 79.0% between report and consensus, and 90.1% between presenter and consensus. Rates of management change increased with increasing BT-RADS scores (0-3.1%, 1a-0%, 1b-66.7%, 2-8.3%, 3a-38.5%, 3b-55.9, 3c-92.0%, and 4-95.6%). Of 184 (86.8%) cases with clinical follow-up within 90 days after the tumor board, 155 (84.2%) of the recommendations were implemented. Structured scoring of MRIs provides a quantitative way to assess rates of agreement interpretation alongside how often management changes are recommended and implemented in a TB setting.
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Affiliation(s)
- Syed A Abidi
- Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USA
| | - Michael J Hoch
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ranliang Hu
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA 30322, USA
| | - Gelareh Sadigh
- Department of Radiology, University of California-Irvine, Irvine, CA 92868, USA
| | - Alfredo Voloschin
- Department of Neuro-Oncology, Orlando Health Cancer Institute, Orlando, FL 32806, USA
| | - Jeffrey J Olson
- Department of Neurosurgery, Emory University, Atlanta, GA 30322, USA
| | - Hui-Kuo G Shu
- Department of Radiation Oncology, Emory University, Atlanta, GA 30322, USA
| | - Stewart G Neill
- Department of Pathology, Emory University, Atlanta, GA 30322, USA
| | - Brent D Weinberg
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA 30322, USA
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10
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Mali SB. Surveillance of head neck cancer: Case for personalized and standardized surveillance. Oral Oncol 2023; 139:106354. [PMID: 36878144 DOI: 10.1016/j.oraloncology.2023.106354] [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: 02/20/2023] [Accepted: 02/23/2023] [Indexed: 03/06/2023]
Abstract
Although surgery, radiotherapy, chemotherapy, or combined treatment often elicits an initial satisfactory response, relapses are frequently observed within two years. Current surveillance methods, including clinical exams and imaging evaluations, have not unambiguously demonstrated a survival benefit, most probably due to a lack of sensitivity in detecting very early recurrence. Current guidelines advise post-treatment surveillance of head and neck cancer (HNC) patients should involve scheduled appointments with a variety of practitioners. The benefits of prolonged routine follow-up on survival have not been proven. Increasing numbers of HNC survivors raise the burden to provide efficient and effective care.
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Affiliation(s)
- Shrikant B Mali
- Mahatma Gandhi Vidya Mandir's Dental College and Hospital Nashik, India.
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11
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OuYang PY, Liu ZQ, Lin QG, He Y, Guo ZX, Yao WY, Xu SK, Peng QH, Xiao SM, Li J, Li A, Zhang BY, Yang SS, Fan W, Xie CM, Wu YS, Zhang X, Chen CY, Xie FY. Benefit of [ 18F] FDG PET/CT in the diagnosis and salvage treatment of recurrent nasopharyngeal carcinoma. Eur J Nucl Med Mol Imaging 2023; 50:881-891. [PMID: 36301324 DOI: 10.1007/s00259-022-06020-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 10/20/2022] [Indexed: 01/24/2023]
Abstract
PURPOSE To compare PET/CT, MRI and ultrasonography in detecting recurrence of nasopharyngeal carcinoma and identify their benefit in staging, contouring and overall survival (OS). METHODS Cohort A included 1453 patients with or without histopathology-confirmed local recurrence, while cohort B consisted of 316 patients with 606 histopathology-confirmed lymph nodes to compare the sensitivities and specificities of PET/CT, MRI and ultrasonography using McNemar test. Cohorts C and D consisted of 273 patients from cohort A and 267 patients from cohort B, respectively, to compare the distribution of PET/CT-based and MRI-based rT-stage and rN-stage and the accuracy of rN-stage using McNemar test. Cohort E included 30 random patients from cohort A to evaluate the changes in contouring with or without PET/CT by related-samples T test or Wilcoxon rank test. The OS of 61 rT3-4N0M0 patients staged by PET/CT plus MRI (cohort F) and 67 MRI-staged rT3-4N0M0 patients (cohort G) who underwent similar salvage treatment were compared by log-rank test and Cox regression. RESULTS PET/CT had similar specificity to MRI but higher sensitivity (93.9% vs. 79.3%, P < 0.001) in detecting local recurrence. PET/CT, MRI and ultrasonography had comparable specificities, but PET/CT had greater sensitivity than MRI (90.9% vs. 67.6%, P < 0.001) and similar sensitivity to ultrasonography in diagnosing lymph nodes. According to PET/CT, more patients were staged rT3-4 (82.8% vs. 68.1%, P < 0.001) or rN + (89.9% vs. 69.3%, P < 0.001), and the rN-stage was more accurate (90.6% vs. 73.8%, P < 0.001). Accordingly, the contours of local recurrence were more precise (median Dice similarity coefficient 0.41 vs. 0.62, P < 0.001) when aided by PET/CT plus MRI. Patients staged by PET/CT plus MRI had a higher 3-year OS than patients staged by MRI alone (85.5% vs. 60.4%, P = 0.006; adjusted HR = 0.34, P = 0.005). CONCLUSION PET/CT more accurately detected and staged recurrence of nasopharyngeal carcinoma and accordingly complemented MRI, providing benefit in contouring and OS.
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Affiliation(s)
- Pu-Yun OuYang
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, China
| | - Zhi-Qiao Liu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, China
| | - Qing-Guang Lin
- Department of Ultrasound, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, Guangdong, China
| | - Yun He
- Department of Radiology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, Guangdong, China
| | - Zhi-Xin Guo
- Department of Ultrasound, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, Guangdong, China
| | - Wen-Yan Yao
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, China
| | - Sen-Kui Xu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, China
| | - Qing-He Peng
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, China
| | - Su-Ming Xiao
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, China
| | - Jiajian Li
- CVTE Research, Guangzhou, Guangdong, China
| | - Anwei Li
- CVTE Research, Guangzhou, Guangdong, China
| | - Bao-Yu Zhang
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, China
| | - Shan-Shan Yang
- Department of Radiation Oncology, Shandong Provincial Hospital, Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Wei Fan
- Department of Nuclear Medicine, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, Guangdong, China
| | - Chuan-Miao Xie
- Department of Radiology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, Guangdong, China
| | - Yi-Shan Wu
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong, China
| | - Xu Zhang
- Department of Nuclear Medicine, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, Guangdong, China
| | - Chun-Yan Chen
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, China
| | - Fang-Yun Xie
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, China.
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12
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Hanna GJ, Patel N, Tedla SG, Baugnon KL, Aiken A, Agrawal N. Personalizing Surveillance in Head and Neck Cancer. Am Soc Clin Oncol Educ Book 2023; 43:e389718. [PMID: 37079869 DOI: 10.1200/edbk_389718] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Abstract
Head and neck squamous cell carcinoma (HNSCC) encompasses a spectrum of heterogeneous diseases originating in the oral cavity, pharynx, and larynx. Within the United States, head and neck cancer (HNC) accounts for 66,470 new cases, or 3% of all malignancies, annually.1 The incidence of HNC is rising, largely driven by increases in oropharyngeal cancer.2-4 Recent molecular and clinical advancements, particularly with regard to molecular and tumor biology, reflect the heterogeneity of the subsites contained within the head and neck. Despite this, existing guidelines for post-treatment surveillance remain broad without much consideration given to different anatomic subsites and etiologic factors (such as human papillomavirus [HPV] status or tobacco exposure).5 Surveillance incorporating the physical examination, imaging, and emerging molecular biomarkers is an essential part of care for patients treated for HNC and allows for the detection of locoregional recurrence, distant metastases, and second primary malignancies aiming for better functional and survival outcomes. Additionally, it allows for evaluation and management of post-treatment complications.
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Affiliation(s)
- Glenn J Hanna
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Nirali Patel
- Otolaryngology-Head and Neck Surgery, University of Chicago, Chicago, IL
| | - Sara G Tedla
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA
| | - Kristen L Baugnon
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA
| | - Ashley Aiken
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA
| | - Nishant Agrawal
- Otolaryngology-Head and Neck Surgery, University of Chicago, Chicago, IL
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13
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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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14
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Kumar I, Reza SO, Choudhary S, Shukla RC, Mani N, Verma A. Performance of NI-RADS on CECT Alone to Predict Recurrent Head and Neck Squamous Cell Carcinoma after Chemoradiotherapy: Added Value of RECIST 1.1. Indian J Radiol Imaging 2022; 32:151-158. [PMID: 35924129 PMCID: PMC9340179 DOI: 10.1055/s-0042-1754315] [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] [Indexed: 11/17/2022] Open
Abstract
Background
The Head and Neck Imaging Reporting and Data System (NI-RADS) is a standardized reporting format for the categorization of the degree of suspicion for recurrent head and neck malignancies on positron emission tomography/computed tomography.
Purpose
The purpose of our study was to analyze the efficacy of the NI-RADS rating scale and criteria for contrast-enhanced computed tomography (CECT) alone in predicting the local and regional recurrence of malignancies after chemoradiotherapy.
Material and Methods
CECT of the patients with head and neck cancers receiving radiotherapy and concurrent chemotherapy as a primary treatment was obtained 3 months after the completion of radiotherapy and NI-RADS scoring was done using components of Response Evaluation Criteria in Solid Tumors (RECIST 1.1) criteria. Their management was guided according to the recommendations based on their NI-RADS score.
Results
Thirty patients with squamous cell carcinoma of the neck were included in this study. The positive or negative status of the recurrent disease was based on biopsy results or follow-up protocol as recommended in NI-RADS rating scale. Fifteen patients had path proven recurrence at the primary tumor site. For primary tumor site, disease persistence rates of 4% for NI-RADS 1, 24% for NI-RADS 2, and 80% for NI-RADS 3 scores were seen. Five patients had recurrent lymph nodal disease. For lymph nodal assessment, NI-RADS categories 1, 2, and 3 revealed nodal disease recurrence rates of 5.3, 25, and 66.7%, respectively.
Conclusion
CECT alone may be used to assign the NI-RADS rating scale using RECIST 1.1 criteria to predict the presence or absence of recurrent tumor in patients with neck malignancies.
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Affiliation(s)
- Ishan Kumar
- Department of Radiodiagnosis, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Syed O. Reza
- Department of Radiodiagnosis, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Sunil Choudhary
- Department of Radiation Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Ram C. Shukla
- Department of Radiodiagnosis, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Nilesh Mani
- Department of Radiation Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Ashish Verma
- Department of Radiodiagnosis, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
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15
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Giannitto C, Esposito AA, Spriano G, De Virgilio A, Avola E, Beltramini G, Carrafiello G, Casiraghi E, Coppola A, Cristofaro V, Farina D, Gaino F, Lastella G, Lofino L, Maroldi R, Piccoli F, Pignataro L, Preda L, Russo E, Solimeno L, Vatteroni G, Vidiri A, Balzarini L, Mercante G. An approach to evaluate the quality of radiological reports in Head and Neck cancer loco-regional staging: experience of two Academic Hospitals. Radiol Med 2022; 127:407-413. [PMID: 35258775 DOI: 10.1007/s11547-022-01464-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 02/01/2022] [Indexed: 12/31/2022]
Abstract
OBJECTIVES To evaluate the quality of the reports of loco-regional staging computed tomography (CT) or magnetic resonance imaging (MRI) in head and neck (H&N) cancer. METHODS Consecutive reports of staging CT and MRI of all H&N cancer cases from 2018 to 2020 were collected. We created lists of quality indicators for tumor (T) for each district and for node (N). We marked these as 0 or 1 in the report calculating a report score (RS) and a maximum sum (MS) of each list. Two radiologists and two otolaryngologists in consensus classified reports as low quality (LQ) if the RS fell in the percentage range 0-59% of MS and as high quality (HQ) if it fell in the range 60-100%, annotating technique and district. We evaluated the distribution of reports in these categories. RESULTS Two hundred thirty-seven reports (97 CT and 140 MRI) of 95 oral cavity, 52 laryngeal, 47 oropharyngeal, 19 hypo-pharyngeal, 14 parotid, and 10 nasopharyngeal cancers were included. Sixty-six percent of all the reports were LQ for T, 66% out of all the MRI reports, and 65% out of all CT reports were LQ. Eight-five percent of reports were HQ for N, 85% out of all the MRI reports, and 82% out of all CT reports were HQ. Reports of oral cavity, oro-nasopharynx, and parotid were LQ, respectively, in 76%, 73%, 100% and 92 out of cases. CONCLUSION Reports of staging CT/MRI in H&N cancer were LQ for T description and HQ for N description.
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Affiliation(s)
- Caterina Giannitto
- Department of Diagnostic Radiology, Humanitas Clinical and Research Center IRCCS, Via Alessandro Manzoni 56, 20089, Rozzano, Italy.
| | - Andrea Alessandro Esposito
- Radiology Department, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, via F. Sforza 35, 20122, Milan, Italy
| | - Giuseppe Spriano
- Department of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Milan, Italy.,Otorhinolaryngology Unit, Humanitas University, Humanitas Clinical and Research Centre - IRCCS, 20089, Rozzano, Milan, Italy
| | - Armando De Virgilio
- Department of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Milan, Italy.,Otorhinolaryngology Unit, Humanitas University, Humanitas Clinical and Research Centre - IRCCS, 20089, Rozzano, Milan, Italy
| | - Emanuele Avola
- Postgraduate School of Radiodiagnostic, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy
| | - Giada Beltramini
- Maxillo-Facial Surgery and Odontostomatology Unit, Fondazione I.R.C.C.S. Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Gianpaolo Carrafiello
- Radiology Department, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, via F. Sforza 35, 20122, Milan, Italy.,Department of Health Sciences, Università Degli Studi Di Milano, Milan, Italy
| | - Elena Casiraghi
- Computer Science Department, Università Degli Studi Di Milano, via Celoria 18, 20133, Milan, Italy
| | - Alessandra Coppola
- Postgraduate School of Radiodiagnostic, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy
| | - Valentina Cristofaro
- Postgraduate School of Radiodiagnostic, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy
| | - Davide Farina
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, ASST Spedali Civili of Brescia, Piazzale Spedali Civili, 1, 25123, Brescia, Italy
| | - Francesca Gaino
- Department of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Milan, Italy
| | - Giulia Lastella
- Postgraduate School of Radiodiagnostic, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy
| | - Ludovica Lofino
- Training School in Radiology, Humanitas University, Pieve Emanuele, Italy
| | - Roberto Maroldi
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, ASST Spedali Civili of Brescia, Piazzale Spedali Civili, 1, 25123, Brescia, Italy
| | - Francesca Piccoli
- Training School in Radiology, Humanitas University, Pieve Emanuele, Italy
| | - Lorenzo Pignataro
- Department of Otolaryngology and Head and Neck Surgery, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy.,Department of Clinical Sciences and Community Health, Università Degli Studi Di Milano, Milan, Italy
| | - Lorenzo Preda
- Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.,Radiology Department, San Matteo Hospital, Pavia, Italy
| | - Elena Russo
- Department of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Milan, Italy.,Otorhinolaryngology Unit, Humanitas University, Humanitas Clinical and Research Centre - IRCCS, 20089, Rozzano, Milan, Italy
| | - Lorenzo Solimeno
- Postgraduate School of Otolaryngology, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Giulia Vatteroni
- Training School in Radiology, Humanitas University, Pieve Emanuele, Italy
| | - Antonello Vidiri
- Radiology and Diagnostic Imaging Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | | | - Luca Balzarini
- Department of Diagnostic Radiology, Humanitas Clinical and Research Center IRCCS, Via Alessandro Manzoni 56, 20089, Rozzano, Italy
| | - Giuseppe Mercante
- Department of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Milan, Italy.,Otorhinolaryngology Unit, Humanitas University, Humanitas Clinical and Research Centre - IRCCS, 20089, Rozzano, Milan, Italy
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16
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Johansson ED, Hughes RT, Meegalla NT, Porosnicu M, Patwa HS, Lack CM, Bunch PM. 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. Laryngoscope 2022; 132:1792-1797. [PMID: 35043989 DOI: 10.1002/lary.30025] [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: 09/25/2021] [Revised: 12/07/2021] [Accepted: 12/29/2021] [Indexed: 11/09/2022]
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, 2022.
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Affiliation(s)
- Erik D Johansson
- Wake Forest School of Medicine, Winston-Salem, North Carolina, U.S.A
| | - Ryan T Hughes
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, North Carolina, U.S.A
| | - Nuwan T Meegalla
- 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
| | - Hafiz S Patwa
- Department of Otolaryngology-Head and Neck Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina, U.S.A
| | - Christopher M Lack
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, U.S.A
| | - Paul M Bunch
- Department of Radiology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina, U.S.A
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17
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Elsholtz FHJ, Ro SR, Shnayien S, Dinkelborg P, Hamm B, Schaafs LA. Impact of double reading on NI-RADS diagnostic accuracy in reporting oral squamous cell carcinoma surveillance imaging - a single-center study. Dentomaxillofac Radiol 2022; 51:20210168. [PMID: 34233509 PMCID: PMC8693328 DOI: 10.1259/dmfr.20210168] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 05/17/2021] [Accepted: 05/31/2021] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVES The Neck Imaging Reporting and Data System (NI-RADS) is an increasingly utilized risk stratification tool for imaging surveillance after treatment for head and neck cancer. This study aims to measure the impact of supervision by subspecialized radiologists on diagnostic accuracy of NI-RADS when initial reading is performed by residents. METHODS 150 CT and MRI datasets were initially read by two trained residents, and then supervised by two subspecialized radiologists. Recurrence rates by NI-RADS category were calculated, and receiver operating characteristic (ROC) curves were plotted. After dichotomization of the NI-RADS system (category 1 vs categories 2 + 3+4 and categories 1 + 2 vs 3 + 4), sensitivity, specificity, positive and negative predictive value were calculated. RESULTS 26% of the reports were modified by the supervising radiologists. Area under the curve of ROC plots values of the supervision session were higher than those of the initial reading session for both the primary site (0.89 vs 0.86) and the neck (0.94 vs 0.91), but the difference was not statistically significant. For dichotomized NI-RADS category assignments, differences between the initial reading and the supervision session were statistically significant regarding specificity and PPV for the primary site (1 + 2 vs 3 + 4 and 1 vs 2 + 3+4) or even for both sites combined (1 vs 2 + 3+4). CONCLUSION NI-RADS enables trained resident radiologists to report surveillance imaging in patients with treated oral squamous cell carcinoma with high discriminatory power. Additional supervision by a subspecialized head and neck radiologist particularly improves specificity of radiological reports.
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Affiliation(s)
- Fabian Henry Jürgen Elsholtz
- Department of Radiology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Benjamin Franklin, Berlin, Germany
| | - Sa-Ra Ro
- Department of Radiology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Benjamin Franklin, Berlin, Germany
| | - Seyd Shnayien
- Department of Radiology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Benjamin Franklin, Berlin, Germany
| | - Patrick Dinkelborg
- Department of Oral and Maxillofacial Surgery, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Benjamin Franklin, Berlin, Germany
| | - Bernd Hamm
- Department of Radiology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Benjamin Franklin, Berlin, Germany
| | - Lars-Arne Schaafs
- Department of Radiology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Benjamin Franklin, Berlin, Germany
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18
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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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19
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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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20
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Ramesh K, Gurbani SS, Mellon EA, Huang V, Goryawala M, Barker PB, Kleinberg L, Shu HKG, Shim H, Weinberg BD. The Longitudinal Imaging Tracker (BrICS-LIT):A Cloud Platform for Monitoring Treatment Response in Glioblastoma Patients. ACTA ACUST UNITED AC 2021; 6:93-100. [PMID: 32548285 PMCID: PMC7289246 DOI: 10.18383/j.tom.2020.00001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Glioblastoma is a common and aggressive form of brain cancer affecting up to 20,000 new patients in the US annually. Despite rigorous therapies, current median survival is only 15-20 months. Patients who complete initial treatment undergo follow-up imaging at routine intervals to assess for tumor recurrence. Imaging is a central part of brain tumor management, but MRI findings in patients with brain tumor can be challenging to interpret and are further confounded by interpretation variability. Disease-specific structured reporting attempts to reduce variability in imaging results by implementing well-defined imaging criteria and standardized language. The Brain Tumor Reporting and Data System (BT-RADS) is one such framework streamlined for clinical workflows and includes quantitative criteria for more objective evaluation of follow-up imaging. To facilitate accurate and objective monitoring of patients during the follow-up period, we developed a cloud platform, the Brain Imaging Collaborative Suite's Longitudinal Imaging Tracker (BrICS-LIT). BrICS-LIT uses semiautomated tumor segmentation algorithms of both T2-weighted FLAIR and contrast-enhanced T1-weighted MRI to assist clinicians in quantitative assessment of brain tumors. The LIT platform can ultimately guide clinical decision-making for patients with glioblastoma by providing quantitative metrics for BT-RADS scoring. Further, this platform has the potential to increase objectivity when measuring efficacy of novel therapies for patients with brain tumor during their follow-up. Therefore, LIT will be used to track patients in a dose-escalated clinical trial, where spectroscopic MRI has been used to guide radiation therapy (Clinicaltrials.gov NCT03137888), and compare patients to a control group that received standard of care.
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Affiliation(s)
- Karthik Ramesh
- Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA.,Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University School of Medicine, Atlanta, GA
| | - Saumya S Gurbani
- Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA.,Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University School of Medicine, Atlanta, GA
| | - Eric A Mellon
- Departments of Radiation Oncology, Sylvester Comprehensive Cancer Center; and
| | - Vicki Huang
- Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA.,Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University School of Medicine, Atlanta, GA
| | | | | | | | - Hui-Kuo G Shu
- Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA
| | - Hyunsuk Shim
- Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA.,Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University School of Medicine, Atlanta, GA.,Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA
| | - Brent D Weinberg
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA
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21
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Ashour MM, Darwish EAF, Fahiem RM, Abdelaziz TT. MRI Posttreatment Surveillance for Head and Neck Squamous Cell Carcinoma: Proposed MR NI-RADS Criteria. AJNR Am J Neuroradiol 2021; 42:1123-1129. [PMID: 33707288 DOI: 10.3174/ajnr.a7058] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Accepted: 12/20/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND PURPOSE The current Neck Imaging Reporting and Data System (NI-RADS) criteria were designed for contrast-enhanced CT with or without PET. Prior studies have revealed the capability of DWI and T2 signal intensity in distinguishing locoregional tumor residual and recurrence from posttreatment benign findings in head and neck cancers. We aimed to propose MR imaging NI-RADS criteria by adding diffusion criteria and T2 signal intensity to the American College of Radiology NI-RADS template. MATERIALS AND METHODS This retrospective study included 69 patients with head and neck squamous cell carcinoma (HNSCC) who underwent posttreatment contrast-enhanced MRI imaging surveillance using a 1.5T scanner. The scans were interpreted by 2 neuroradiologists. Image analysis assessed the primary tumor site using the current American College of Radiology NI-RADS morphologic lexicon (mainly designed for contrast-enhanced CT with or without PET). NI-RADS rescoring was then performed based on our proposed criteria using T2 signal and diffusion features. The reference standard was a defined set of criteria, including clinical and imaging follow-up and pathologic assessment. RESULTS Imaging assessment of treated HNSCC at the primary tumor site using T2 signal intensity and diffusion features as modifying rules to NI-RADS showed higher sensitivity, specificity, positive predictive value, negative predictive value, and accuracy (92.3%, 90.7%, 85.7%, 95.1%, and 91.3%, respectively) compared with the current NI-RADS lexicon alone (84.6%, 81.4%, 73.3%, 89.8%, and 82.6%, respectively). CONCLUSIONS The addition of diffusion features and T2 signal to the American College of Radiology NI-RADS criteria for the primary tumor site enhances the specificity, sensitivity, positive predictive value, negative predictive value, and NI-RADS accuracy.
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Affiliation(s)
- M M Ashour
- From the Department of Diagnostic Radiology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - E A F Darwish
- From the Department of Diagnostic Radiology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - R M Fahiem
- From the Department of Diagnostic Radiology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - T T Abdelaziz
- From the Department of Diagnostic Radiology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
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22
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Retrospective Evaluation of NI-RADS for Detecting Postsurgical Recurrence of Oral Squamous Cell Carcinoma on Surveillance CT or MRI. AJR Am J Roentgenol 2021; 217:198-206. [DOI: 10.2214/ajr.20.24209] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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23
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Best Practices: Application of NI-RADS for Posttreatment Surveillance Imaging of Head and Neck Cancer. AJR Am J Roentgenol 2021; 216:1438-1451. [PMID: 32876470 DOI: 10.2214/ajr.20.23841] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Imaging surveillance is an important component of posttreatment management of head and neck cancers. There is variability in the surveillance regimen used by various practitioners and institutions, with no official National Comprehensive Cancer Network guidelines for patients showing no symptoms beyond 6 months posttreatment. Moreover, imaging of the neck after treatment is a complex examination with significant interreader heterogeneity, particularly in terms of the manner in which degree of suspicion for disease recurrence is expressed. The Neck Imaging Reporting and Data System (NI-RADS) was introduced by the American College of Radiology (ACR) in 2018 as a practical guide for the interpreting radiologist. NI-RADS is a proposed interpretive framework that can be applied to any standardized or institutional surveillance imaging protocol. NI-RADS simplifies communication between radiologists and referring clinicians and provides management guidance linked to specific levels of suspicion. The ACR NI-RADS Committee also provided general best practice recommendations for imaging surveillance modality and timing in the 2018 white paper. This article will review existing literature regarding choice of modality and timeline for surveillance in treated cancer of the head and neck. NI-RADS will then be presented as an approach to imaging reporting, interpretation, and design of next steps in management.
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24
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Elsholtz FHJ, Erxleben C, Bauknecht HC, Dinkelborg P, Kreutzer K, Hamm B, Niehues SM. Reliability of NI-RADS criteria in the interpretation of contrast-enhanced magnetic resonance imaging considering the potential role of diffusion-weighted imaging. Eur Radiol 2021; 31:6295-6304. [PMID: 33533989 PMCID: PMC8270833 DOI: 10.1007/s00330-021-07693-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 12/17/2020] [Accepted: 01/18/2021] [Indexed: 12/09/2022]
Abstract
OBJECTIVES To assess inter- and intrareader agreement of the Neck Imaging Reporting and Data System (NI-RADS) used in contrast-enhanced magnetic resonance imaging (MRI) including analysis of diffusion-weighted imaging (DWI), which is currently not part of the NI-RADS criteria. METHODS This retrospective study included anonymized surveillance contrast-enhanced MRI datasets of 104 patients treated for different head and neck cancers. Three radiologists experienced in head and neck imaging reported findings for the primary site and the neck using NI-RADS criteria in a first step and evaluated DWI sequences for the primary site in a second step. Thirty randomly selected imaging datasets were again presented to the readers. Kappa statistics and observed agreement (Ao) were calculated. RESULTS Interreader agreement across all MRI datasets was moderate (κFleiss = 0.53) for NI-RADS categories assigned to the primary site, substantial for NI-RADS categories of the neck (κFleiss = 0.67), and almost perfect for DWI of the primary site (κFleiss = 0.83). Interreader agreement for the primary site was particularly low in cases of cancer recurrence (κFleiss = 0.35) and when categories 2a, 2b, and 3 were combined (κFleiss = 0.30). Intrareader agreement was considerably lower for NI-RADS categories of the primary site (range Ao = 53.3-70.0%) than for NI-RADS categories of the neck (range Ao = 83.3-90.0%) and DWI of the primary site (range Ao = 93.3-100.0%). CONCLUSION Interreader agreement of NI-RADS for reporting contrast-enhanced MRI findings is acceptable for the neck but limited for the primary site. Here, DWI has the potential to serve as a reliable additional criterion. KEY POINTS • NI-RADS was originally designed for contrast-enhanced computed tomography with or without positron emission tomography but can also be used for contrast-enhanced magnetic resonance imaging alone. • Overall interreader agreement was acceptable for NI-RADS categories assigned to the neck but should be improved for the primary site, where it was inferior to DWI; similar tendencies were found for intrareader agreement. • DWI is currently no criterion of NI-RADS, but has shown potential to improve its reliability, especially for categories 2a, 2b, and 3 of the primary site.
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Affiliation(s)
- Fabian Henry Jürgen Elsholtz
- Department of Radiology, Campus Benjamin Franklin, Charité- Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Hindenburgdamm 30, 12203, Berlin, Germany.
| | - Christoph Erxleben
- Department of Radiology, Campus Benjamin Franklin, Charité- Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Hans-Christian Bauknecht
- Department of Neuroradiology, Campus Virchow Klinikum, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin and Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Patrick Dinkelborg
- Department of Oral and Maxillofacial Surgery, Campus Benjamin Franklin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Kilian Kreutzer
- Department of Oral and Maxillofacial Surgery, Campus Benjamin Franklin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Bernd Hamm
- Department of Radiology, Campus Benjamin Franklin, Charité- Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Stefan Markus Niehues
- Department of Radiology, Campus Benjamin Franklin, Charité- Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Hindenburgdamm 30, 12203, Berlin, Germany
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Subramaniam N, Poptani H, Schache A, Bhat V, Iyer S, Sunil HV, Chandrasekhar N, Pillai V, Chaturvedi P, Krishna S, Krishnamurthy A, Kekatpure V, Kuriakose M, Iyer NG, Thakkar A, Kantharia R, Sonkar A, Shetty V, Rangappa V, Kolur T, Vidhyadharan S, Murthy S, Kudpaje A, Srinivasalu V, Mahajan A. Imaging advances in oral cavity cancer and perspectives from a population in need: Consensus from the UK-India oral cancer imaging group. JOURNAL OF HEAD & NECK PHYSICIANS AND SURGEONS 2021. [DOI: 10.4103/jhnps.jhnps_10_21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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26
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Takumi K, Hakamada H, Nagano H, Fukukura Y, Kumagae Y, Sakai O, Yoshiura T. Usefulness of dual-layer spectral CT in follow-up examinations: diagnosing recurrent squamous cell carcinomas in the head and neck. Jpn J Radiol 2020; 39:324-332. [PMID: 33215300 DOI: 10.1007/s11604-020-01071-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 11/01/2020] [Indexed: 12/01/2022]
Abstract
PURPOSE To evaluate the usefulness of dual-energy analyses using dual-layer spectral CT (DLSCT) for diagnosing recurrent lesions of head and neck squamous cell carcinoma (HNSCC). MATERIALS AND METHODS The study population comprised 62 patients with a history of HNSCC. Attenuation values on conventional 120-kVp images and 40-keV virtual monochromatic images (VMIs) and iodine concentration (IC) were compared between recurrent lesions and post-treatment changes or non-recurrent nodes using the Mann-Whitney U test. Receiver-operating characteristic (ROC) analysis was used to assess the ability of attenuation values and IC to diagnose recurrent lesions. RESULTS Attenuation values for 120-kVp and 40-keV images and IC of local recurrent lesions were significantly higher than those of post-treatment changes (p < 0.001), whereas recurrent nodes showed significantly lower attenuation values for both 120 kVp and 40 keV and IC than non-recurrent nodes (p < 0.001). Area under the ROC curves for 120-kVp images, 40-keV images, and IC to diagnose local recurrences were 0.912, 0.992, and 0.984, respectively, and those to diagnose recurrent nodes were 0.819, 0.922, and 0.934, respectively. CONCLUSIONS Dual-energy images using DLSCT, particularly 40-keV VMIs and IC, may help in diagnosing recurrent lesions of HNSCC.
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Affiliation(s)
- Koji Takumi
- Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
| | - Hiroto Hakamada
- Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan
| | - Hiroaki Nagano
- Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan
| | - Yoshihiko Fukukura
- Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan
| | - Yuichi Kumagae
- Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan
| | - Osamu Sakai
- Departments of Radiology, Radiation Oncology, Otolaryngology-Head and Neck Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Takashi Yoshiura
- Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan
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27
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Abdelaziz TT, Abdel Razk AAK, Ashour MMM, Abdelrahman AS. Interreader reproducibility of the Neck Imaging Reporting and Data system (NI-RADS) lexicon for the detection of residual/recurrent disease in treated head and neck squamous cell carcinoma (HNSCC). Cancer Imaging 2020; 20:61. [PMID: 32811559 PMCID: PMC7437031 DOI: 10.1186/s40644-020-00337-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 08/04/2020] [Indexed: 02/07/2023] Open
Abstract
Background To evaluate the inter- and intrareader agreement and reproducibility of the NI-RADS scoring system and lexicon with contrast-enhanced computed tomography (CECT) and contrast-enhanced magnetic resonance imaging (CEMRI). Methods This retrospective study included 97 CECT and CEMRI scans from 58 treated cases of head and neck squamous cell carcinoma (HNSCC) after the exclusion of head and neck cancers (HNCs) other than SCC and noncontrast and poor quality CT and MRI scans, with a total of 111 primary targets and 124 lymph node (LN) targets. Two experienced readers independently scored the likelihood of residual/recurrence for these targets based on the NI-RADS criteria and filled in report templates for NI-RADS lexicon diagnostic features. Inter- and intraobserver reproducibility was assessed with Cohen’s kappa, and the percent agreement was calculated. Results Almost perfect interreader agreement was found for the final NI-RADS category of the primary lesions and LNs, with K = 0.808 and 0.806, respectively. Better agreement was found for CT than for MRI (K = 0.843 and 0.77, respectively, P value 0.001). There was almost perfect agreement for excluding tissue enhancement (K = 0.826, 95% CI = 0.658–0.993, P value 0.001), with a percent agreement of 96.4%, and substantial agreement for discrete nodular and diffuse mucosal enhancement (K = 0.826, 95% CI = 0.658–0.993, P value 0.001), with a percent agreement of 96.4%. There was fair agreement for focal mucosal nonmass and deep ill-defined enhancement. The intrareader agreement was almost perfect for most of the rated features (K ranging from 0.802 to 1), with the exception of enlarging discrete nodule/mass and focal mucosal nonmass-like enhancement, which had substantial intraobserver agreement (K ranging from 0.768 to 0.786). Conclusion The individual features of NI-RADS show variable degrees of confidence; however, the overall NI-RADS category was not significantly affected.
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Affiliation(s)
- Tougan Taha Abdelaziz
- Department of diagnostic radiology, faculty of medicine, Ain Shams University, Cairo, Egypt.
| | | | | | - Ahmed S Abdelrahman
- Department of diagnostic radiology, faculty of medicine, Ain Shams University, Cairo, Egypt
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Abstract
Fluorine-18 (18F)-fluorodeoxyglucose (FDG) positron emission tomography fused with computed tomography (PET/CT) is a valuable tool in surgical planning for head and neck squamous cell carcinoma (HNSCC). If performed prior to biopsy or other surgical intervention, FDG-PET/CT has high sensitivity for the detection of the primary site in patients with cervical lymph node metastases from unknown primary origin and can be used to direct the surgical workup. FDG-PET/CT is superior to CT alone for detection of nodal metastases outside the expected pattern or distant metastases or second primary cancers and can greatly affect determination of appropriate management including surgical eligibility. Prior to the advent of PET/CT, many patients undergoing (chemo)radiation-based therapy had planned post-treatment neck dissection; FDG-PET/CT now has a proven role in the evaluation of recurrent or persistent disease amenable to salvage surgery and enables safe avoidance of planned postradiation neck dissection with a high negative predictive value. Specifically for this important application, two standardized reporting metrics may be used in the head and neck anatomic region: the "Hopkins criteria" and the "Neck Imaging Reporting and Data System"; both systems produce a formalized evaluation and recommendation based on PET/CT findings. The role of PET/CT as a replacement for elective neck dissection or examination under anesthesia remains controversial but deserves further study. FDG-PET/CT has a wide-ranging impact on the surgical management of patients with HNSCC and should be used routinely in patients with unknown primary nodal disease and those presenting with advanced-stage cancers at initial staging and to assess treatment response.
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Affiliation(s)
- Madeleine P Strohl
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, San Francisco, CA
| | - Patrick K Ha
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, San Francisco, CA
| | - Robert R Flavell
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA
| | - Sue S Yom
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA.
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29
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Gillespie J. Imaging of the post-treatment neck. Clin Radiol 2020; 75:794.e7-794.e17. [PMID: 32690240 DOI: 10.1016/j.crad.2020.06.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 06/19/2020] [Indexed: 10/23/2022]
Abstract
Post-treatment imaging of the neck is complex. It is important to have an understanding of the expected treatment related appearances as well as the possible complications. Common findings after radiation therapy include generalised soft-tissue oedema and thickening of the skin and platysma muscle. There are a number of complications of radiation that may be seen on imaging, including osteoradionecrosis, chondronecrosis, and accelerated atherosclerosis. Surgical procedures are variable depending on the primary tumour site and extent. The use of flap reconstructions can further complicate the imaging appearances. Any new nodule of enhancement or bone/cartilage erosion should raise concern for tumour recurrence. It is also important to assess for nodal recurrence. A standardised approach to reporting may help to increase accuracy and guide treatment decisions.
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Affiliation(s)
- J Gillespie
- Department of Medical Imaging, Royal Brisbane and Women's Hospital, Herston, QLD, 4029, Australia; Faculty of Medicine, University of Queensland, Level 6, Oral Health Centre, Herston Road, Herston, QLD, 4006 Australia.
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30
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Abstract
Radiologists must convert the complex information in head and neck imaging into text reports that can be understood and used by clinicians, patients, and fellow radiologists for patient care, research, and quality initiatives. Common data elements in reporting, through use of defined questions with constrained answers and terminology, allow radiologists to incorporate best practice standards and improve communication of information regardless of individual reporting style. Use of common data elements for head and neck reporting has the potential to improve outcomes, reduce errors, and transition data consumption not only for humans but future machine learning systems.
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31
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It's About Quality, Not Quantity: Qualitative FDG PET/CT Criteria for Therapy Response Assessment in Clinical Practice. AJR Am J Roentgenol 2020; 215:313-324. [PMID: 32551905 DOI: 10.2214/ajr.19.22642] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
OBJECTIVE. FDG PET/CT has emerged as an effective tool for the timely accurate assessment of how tumors respond to therapy. To standardize interpretation and reporting, numerous response criteria have been developed. This article will review the evolution of these criteria along with their strengths and weaknesses. CONCLUSION. Several qualitative assessments applicable to common malignancies have been developed in recent years that solve many of the challenges faced by their quantitative predecessors. These are reviewed, and information is provided regarding individual treatment efficacy and prognosis.
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Gore A, Baugnon K, Beitler J, Saba NF, Patel MR, Wu X, Boyce BJ, Aiken AH. Posttreatment Imaging in Patients with Head and Neck Cancer without Clinical Evidence of Recurrence: Should Surveillance Imaging Extend Beyond 6 Months? AJNR Am J Neuroradiol 2020; 41:1238-1244. [PMID: 32554418 DOI: 10.3174/ajnr.a6614] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 04/18/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Early detection of residual or recurrent disease is important for effective salvage treatment in patients with head and neck cancer. Current National Comprehensive Cancer Network guidelines do not recommend standard surveillance imaging beyond 6 months unless there are worrisome signs or symptoms on clinical examination and offer vague guidelines for imaging of high-risk patients beyond that timeframe. Our goal was to evaluate the frequency of clinically occult recurrence in patients with head and neck squamous cell carcinoma with positive imaging findings (Neck Imaging Reporting and Data Systems scores of 2-4), especially after 6 months. MATERIALS AND METHODS This institutional review board-approved, retrospective data base search queried neck CT reports with Neck Imaging Reporting and Data Systems scores of 2-4 from June 2014 to March 2018. The electronic medical records were reviewed to determine outcomes of clinical and radiologic follow-up, including symptoms, physical examination findings, pathologic correlation, and clinical notes within 3 months of imaging. RESULTS A total of 255 cases, all with Neck Imaging Reporting and Data Systems scores of 2 or 3, met the inclusion criteria. Fifty-nine patients (23%) demonstrated recurrence (45 biopsy-proven, 14 based on clinical and imaging progression), and 21 patients (36%) had clinically occult recurrence (ie, no clinical evidence of disease at the time of the imaging examination). The median overall time to radiologically detected, clinically occult recurrence was 11.4 months from treatment completion. CONCLUSIONS Imaging surveillance beyond the first posttreatment baseline study was critical for detecting clinically occult recurrent disease in patients with head and neck squamous cell carcinoma. More than one-third of all recurrences were seen in patients without clinical evidence of disease; and 81% of clinically occult recurrences occurred beyond 6 months.
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Affiliation(s)
- A Gore
- From the Departments of Radiology and Imaging Sciences (A.G., K.B., X.W., A.H.A.)
| | - K Baugnon
- From the Departments of Radiology and Imaging Sciences (A.G., K.B., X.W., A.H.A.)
| | | | - N F Saba
- Hematology/Oncology (N.F.S.).,Otolaryngology (N.F.S., M.R.P., B.J.B., A.H.A.), Emory University School of Medicine, Atlanta, Georgia
| | - M R Patel
- Otolaryngology (N.F.S., M.R.P., B.J.B., A.H.A.), Emory University School of Medicine, Atlanta, Georgia
| | - X Wu
- From the Departments of Radiology and Imaging Sciences (A.G., K.B., X.W., A.H.A.)
| | - B J Boyce
- Otolaryngology (N.F.S., M.R.P., B.J.B., A.H.A.), Emory University School of Medicine, Atlanta, Georgia
| | - A H Aiken
- From the Departments of Radiology and Imaging Sciences (A.G., K.B., X.W., A.H.A.) .,Otolaryngology (N.F.S., M.R.P., B.J.B., A.H.A.), Emory University School of Medicine, Atlanta, Georgia
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33
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Hsu D, Juliano AF. Neck Imaging Reporting and Data System: Principles and Implementation. Neuroimaging Clin N Am 2020; 30:369-377. [PMID: 32600637 DOI: 10.1016/j.nic.2020.05.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Head and neck cancer surveillance imaging is diagnostically challenging, often with highly distorted anatomy after surgery and chemoradiation therapy. In the era of standardized reporting, the Neck Imaging Reporting and Data System (NI-RADS) was developed as a numerical classification system to provide clear and concise radiology reports and recommend next management step. There are 5 categories, each conveying a certain level of suspicion for the presence of persistent or recurrent disease. This article reviews the goals of NI-RADS, NI-RADS categories and lexicon, current research, and the future direction of NI-RADS in posttreatment head and neck cancer surveillance.
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Affiliation(s)
- Derek Hsu
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Road Northeast, Suite BG03, Atlanta, GA 30322, USA.
| | - Amy F Juliano
- Department of Radiology, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA 02114, USA. https://twitter.com/amyfjuliano
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Zhang JY, Weinberg BD, Hu R, Saindane A, Mullins M, Allen J, Hoch MJ. Quantitative Improvement in Brain Tumor MRI Through Structured Reporting (BT-RADS). Acad Radiol 2020; 27:780-784. [PMID: 31471207 DOI: 10.1016/j.acra.2019.07.028] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 07/28/2019] [Accepted: 07/29/2019] [Indexed: 10/26/2022]
Abstract
RATIONALE AND OBJECTIVES Determine the objective benefits of structured reporting of brain tumors through Brain tumor-RADS (BT-RADS) by analyzing discrete quantifiable metrics of the reports themselves. MATERIALS AND METHODS Following Institutional Review Board approval, post-treatment glioma reports were acquired from two matched 3-month time periods for pre- and postimplementation of BT-RADS. The reports were analyzed for presence of history words, such as "Avastin" and "methylguanine-DNA methyltransferase," as well as hedge words, such as "Possibly" and "Likely." The word counts of the total report and of the impression section were also assessed, as well as whether or not the report contained addenda. RESULTS In total, 211 pre-BT-RADS and 172 post-BT-RADS reports were analyzed. Post-BT-RADS reports demonstrated greater reporting of history words, including "Avastin" (7.6% vs. 20.9%, p < 0.001) and "methylguanine-DNA methyltransferase" (10.9% vs. 31.4%, p < 0.0001). They also demonstrated reduced usage of hedge words, including "Possibly" (3.8% vs. 0.6%, p < 0.05) and "Likely" (49.8% vs. 28.5%, p < 0.01). Furthermore, post-BT-RADS reports possessed fewer words in total report length (389 vs. 245.2, p < 0.001), as well as in the impression section (53.7 vs. 42.6, p < 0.01). Finally, fewer post-BT-RADS reports contained addenda (10% vs. 1.2%, p < 0.01). CONCLUSION Following implementation of BT-RADS, glioma reports demonstrated greater consistency and completeness of clinical history, less ambiguity, and more conciseness.
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Wangaryattawanich P, Branstetter BF, Ly JD, Duvvuri U, Heron DE, Rath TJ. Positive Predictive Value of Neck Imaging Reporting and Data System Categories 3 and 4 Posttreatment FDG-PET/CT in Head and Neck Squamous Cell Carcinoma. AJNR Am J Neuroradiol 2020; 41:1070-1075. [PMID: 32467187 DOI: 10.3174/ajnr.a6589] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 04/04/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND PURPOSE The Neck Imaging Reporting and Data System is a standardized reporting system intended to risk stratify patients treated for head and neck squamous cell carcinoma. The purpose of this study is to investigate the positive predictive value of the Neck Imaging Reporting and Data System categories 3 and 4 on posttreatment PET/CT in patients treated definitively for head and neck squamous cell carcinoma. MATERIALS AND METHODS We retrospectively identified patients treated definitively for head and neck squamous cell carcinoma between 2006 and 2018. Patients whose posttreatment PET/CT scans were interpreted as Neck Imaging Reporting and Data System 3 (suspicious) or 4 (definitive recurrence) at the primary site, regional nodes, or at distant sites were included. The reference standard was histopathology or unequivocal imaging or clinical evidence of treatment failure. The positive predictive values of Neck Imaging Reporting and Data System 3 and 4 posttreatment PET/CT were calculated. RESULTS Seventy-two of 128 patients with posttreatment PET/CT interpreted as Neck Imaging Reporting and Data System 3 at the primary site, regional nodes, or distant sites were proved to have treatment failure at the suspicious sites, yielding an overall positive predictive value of 56% (95% CI, 48%-65%). The positive predictive values of Neck Imaging Reporting and Data System 3 by subsite were as follows: primary site, 56% (44/79); regional nodes, 65% (34/52); and distant sites, 79% (42/53). All 69 patients with posttreatment PET/CT interpreted as Neck Imaging Reporting and Data System 4 had true treatment failure, yielding a positive predictive value of 100% (95% CI, 96%-100%): primary site, 100% (28/28); regional nodes, 100% (32/32); and distant sites, 100% (29/29). CONCLUSIONS The positive predictive value of Neck Imaging Reporting and Data System 3 on posttreatment PET/CT is relatively low. Thus, Neck Imaging Reporting and Data System 3 findings should be confirmed with tissue sampling before instituting new salvage treatment regimens to avoid unnecessary overtreatment and its associated toxicities. Neck Imaging Reporting and Data System 4 reliably indicates recurrent disease.
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Affiliation(s)
| | - B F Branstetter
- From the Departments of Radiology (P.W., B.F.B., J.D.L.).,Otolaryngology (B.F.B., U.D., D.E.H.).,Biomedical Informatics (B.F.B.)
| | - J D Ly
- From the Departments of Radiology (P.W., B.F.B., J.D.L.)
| | - U Duvvuri
- Otolaryngology (B.F.B., U.D., D.E.H.)
| | - D E Heron
- Otolaryngology (B.F.B., U.D., D.E.H.).,Radiation Oncology (D.E.H.), School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - T J Rath
- Neuroradiology Section, Department of Radiology (T.J.R.), Mayo Clinic Hospital, Phoenix, Arizona.
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36
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Neck Imaging Reporting and Data System: What Does Radiologist Want to Know? J Comput Assist Tomogr 2020; 44:527-532. [DOI: 10.1097/rct.0000000000001032] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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37
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Elsholtz FHJ, Ro SR, Shnayien S, Erxleben C, Bauknecht HC, Lenk J, Schaafs LA, Hamm B, Niehues SM. Inter- and Intrareader Agreement of NI-RADS in the Interpretation of Surveillance Contrast-Enhanced CT after Treatment of Oral Cavity and Oropharyngeal Squamous Cell Carcinoma. AJNR Am J Neuroradiol 2020; 41:859-865. [PMID: 32327436 DOI: 10.3174/ajnr.a6529] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 03/08/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND PURPOSE The Neck Imaging Reporting and Data System was introduced to assess the probability of recurrence in surveillance imaging after treatment of head and neck cancer. This study investigated inter- and intrareader agreement in interpreting contrast-enhanced CT after treatment of oral cavity and oropharyngeal squamous cell carcinoma. MATERIALS AND METHODS This retrospective study analyzed CT datasets of 101 patients. Four radiologists provided the Neck Imaging Reporting and Data System reports for the primary site and neck (cervical lymph nodes). The Kendall's coefficient of concordance (W), Fleiss κ (κF), the Kendall's rank correlation coefficient (τB), and weighted κ statistics (κw) were calculated to assess inter- and intrareader agreement. RESULTS Overall, interreader agreement was strong or moderate for both the primary site (W = 0.74, κF = 0.48) and the neck (W = 0.80, κF = 0.50), depending on the statistics applied. Interreader agreement was higher in patients with proved recurrence at the primary site (W = 0.96 versus 0.56, κF = 0.65 versus 0.30) or in the neck (W = 0.78 versus 0.56, κF = 0.41 versus 0.29). Intrareader agreement was moderate to strong or almost perfect at the primary site (range τB = 0.67-0.82, κw = 0.85-0.96) and strong or almost perfect in the neck (range τB = 0.76-0.86, κw = 0.89-0.95). CONCLUSIONS The Neck Imaging Reporting and Data System used for surveillance contrast-enhanced CT after treatment of oral cavity and oropharyngeal squamous cell carcinoma provides acceptable score reproducibility with limitations in patients with posttherapeutic changes but no cancer recurrence.
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Affiliation(s)
- F H J Elsholtz
- From the Institute of Radiology (F.H.J.E., S.-R.R., S.S., C.E., J.L., L.-A.S., B.H., S.M.N.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - S-R Ro
- From the Institute of Radiology (F.H.J.E., S.-R.R., S.S., C.E., J.L., L.-A.S., B.H., S.M.N.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - S Shnayien
- From the Institute of Radiology (F.H.J.E., S.-R.R., S.S., C.E., J.L., L.-A.S., B.H., S.M.N.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - C Erxleben
- From the Institute of Radiology (F.H.J.E., S.-R.R., S.S., C.E., J.L., L.-A.S., B.H., S.M.N.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - H-C Bauknecht
- Institute of Neuroradiology (H.-C.B.), Charité -Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Campus Virchow Klinikum, Berlin, Germany
| | - J Lenk
- From the Institute of Radiology (F.H.J.E., S.-R.R., S.S., C.E., J.L., L.-A.S., B.H., S.M.N.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - L-A Schaafs
- From the Institute of Radiology (F.H.J.E., S.-R.R., S.S., C.E., J.L., L.-A.S., B.H., S.M.N.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - B Hamm
- From the Institute of Radiology (F.H.J.E., S.-R.R., S.S., C.E., J.L., L.-A.S., B.H., S.M.N.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - S M Niehues
- From the Institute of Radiology (F.H.J.E., S.-R.R., S.S., C.E., J.L., L.-A.S., B.H., S.M.N.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany
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Extra-nodal extension in head and neck cancer: how radiologists can help staging and treatment planning. Jpn J Radiol 2020; 38:489-506. [PMID: 32096063 DOI: 10.1007/s11604-020-00929-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Accepted: 02/06/2020] [Indexed: 12/24/2022]
Abstract
Extranodal extension (ENE) is a significant prognostic factor in p16-negative head and neck squamous-cell carcinoma and is classified as N3b by the American Joint Committee on Cancer 8th edition. While most previous radiological studies have focused on the diagnostic performance of pathological ENE, radiologists should be able to provide more clinically relevant information on this entity. The purpose of this article is to review the clinical implications of ENE, to describe key imaging features of ENE with clinical and histopathological correlations and to discuss evaluation of ENE for clinical staging, treatment planning, and predicting the response to treatment. First, we discuss the basics of ENE, including definitions of pathological and clinical ENE and its association with imaging findings. Second, we describe the ENE extension pattern at each location according to level system. The crucial structures determining the choice of treatment include the deep fascia in the deep cervical layer, internal and common carotid arteries, and mediastinal structures. Invasion of the muscles, internal jugular vein, nerves, or mandible also affect the surgical procedure. Finally, we discuss assessment of nodal metastasis after chemoradiotherapy.
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39
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Qian DC, Magliocca KR, Aiken AH, Baugnon KL, Brandon DC, Stokes WA, McDonald MW, Patel MR, Baddour HM, Kaka AS, Steuer CE, Saba NF, Shin DM, Beitler JJ. Outcomes and Predictive Value of Post-adjuvant Therapy PET/CT for Locally Advanced Oral Squamous Cell Carcinoma. Laryngoscope 2020; 130:E850-E857. [PMID: 32057110 DOI: 10.1002/lary.28509] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 12/23/2019] [Accepted: 01/07/2020] [Indexed: 11/08/2022]
Abstract
OBJECTIVES/HYPOTHESIS For locally advanced oral squamous cell carcinoma (OSCC) treated by surgery and adjuvant therapy, consensus has yet to be reached on whether the optimal time to initiate surveillance positron emission tomography/computed tomography (PET/CT) scan is before or after adjuvant therapy. In this study, we characterize the utility of PET/CT scans obtained 3 months after adjuvant therapy. STUDY DESIGN PET/CT scans were obtained for 220 patients with stage III, IVA, or IVB OSCC who underwent resection followed by adjuvant radiotherapy or chemoradiotherapy. METHODS Using the Neck Imaging Reporting and Data System, PET/CT scans were dichotomized as suspicious (primary or neck category ≥3, or distant lesion present) versus nonsuspicious. We then computed differences in locoregional progression, distant progression, and overall survival; positive predictive value (PPV), negative predictive value (NPV), sensitivity, and specificity; and success rate of salvage. RESULTS Sixty-seven patients (30%) had suspicious PET/CT scans, which were significantly associated with local failure (hazard ratio [HR] 14.0, 95% confidence interval [CI] 7.3-26.6), distant failure (HR 18.4, 95% CI 9.6-35.3), and poorer overall survival (HR 9.5, 95% CI 5.0-17.9). Overall PPV, locoregional PPV, NPV, sensitivity, and specificity were 85%, 79%, 73%, 58%, and 92%, respectively. Among those with biopsy-confirmed progression, 37 patients (65%) underwent salvage therapy; four (11%) were without evidence of disease at last follow-up. CONCLUSIONS For locally advanced OSCC, PET/CT scan 3 months after adjuvant therapy is strongly predictive of disease recurrence and survival, demonstrating improved performance over postoperative imaging in previous studies. Following a suspicious post-adjuvant therapy PET/CT scan, cure of locoregional recurrence is possible but unlikely. LEVEL OF EVIDENCE 4 Laryngoscope, 2020.
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Affiliation(s)
- David C Qian
- Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia, USA
| | - Kelly R Magliocca
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Ashley H Aiken
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Kristen L Baugnon
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - David C Brandon
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - William A Stokes
- Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia, USA
| | - Mark W McDonald
- Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia, USA
| | - Mihir R Patel
- Department of Otolaryngology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Harry M Baddour
- Department of Otolaryngology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Azeem S Kaka
- Department of Otolaryngology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Conor E Steuer
- Department of Hematology and Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia, USA
| | - Nabil F Saba
- Department of Hematology and Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia, USA
| | - Dong M Shin
- Department of Hematology and Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia, USA
| | - Jonathan J Beitler
- Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia, USA.,Department of Otolaryngology, Emory University School of Medicine, Atlanta, Georgia, USA.,Department of Hematology and Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia, USA
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40
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Standardized reporting systems for computed tomography coronary angiography and calcium scoring: A real-world validation of CAD-RADS and CAC-DRS in patients with stable chest pain. J Cardiovasc Comput Tomogr 2020; 14:3-11. [DOI: 10.1016/j.jcct.2019.07.010] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 07/09/2019] [Accepted: 07/24/2019] [Indexed: 01/09/2023]
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Peacock JG, Christensen CT, Banks KP. RESISTing the Need to Quantify: Putting Qualitative FDG-PET/CT Tumor Response Assessment Criteria into Daily Practice. AJNR Am J Neuroradiol 2019; 40:1978-1986. [PMID: 31780460 DOI: 10.3174/ajnr.a6294] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2019] [Accepted: 09/11/2019] [Indexed: 12/20/2022]
Abstract
Tumor response assessments are essential to evaluate cancer treatment efficacy and prognosticate survival in patients with cancer. Response criteria have evolved over multiple decades, including many imaging modalities and measurement schema. Advances in FDG-PET/CT have led to tumor response criteria that harness the power of metabolic imaging. Qualitative PET/CT assessment schema are easy to apply clinically, are reproducible, and yield good prognostic results. We present 3 such criteria, namely, the Lugano classification for lymphoma, the Hopkins criteria, and the Neck Imaging Reporting and Data Systems criteria for head and neck cancers. When comparing baseline PET/CTs with interim or end-of-treatment PET/CTs, radiologists can classify the tumor response as complete metabolic response, partial metabolic response, no metabolic response, or progressive disease, which has important implications in directing further cancer management and long-term patient prognosis. The purpose of this article is to review the progression of tumor response assessments from CT- and PET/CT-based quantitative and semi-quantitative systems to PET/CT-based qualitative systems; introduce the classification schema for these systems; and describe how to use these rapid, powerful, and qualitative PET/CT-based systems in daily practice through illustrative cases.
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Affiliation(s)
- J G Peacock
- From the Department of Radiology (J.G.P., K.P.B.), Brooke Army Medical Center, San Antonio, Texas
| | - C T Christensen
- Department of Radiology (C.T.C.), Wilford Hall Ambulatory Surgical Center, San Antonio, Texas
| | - K P Banks
- From the Department of Radiology (J.G.P., K.P.B.), Brooke Army Medical Center, San Antonio, Texas
- Department of Radiology (K.P.B.), Uniformed Services University of the Health Sciences, Bethesda, Maryland
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Juliano AF, Aiken AH. NI-RADS for head and neck cancer surveillance imaging: What, why, and how. Cancer Cytopathol 2019; 128:166-170. [PMID: 31750995 DOI: 10.1002/cncy.22214] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 10/29/2019] [Indexed: 11/06/2022]
Abstract
The Neck Imaging Reporting and Data System (NI-RADS) was conceived in 2016 with the objective of standardizing assessment and reporting in surveillance imaging for patients with head and neck squamous cell carcinomas and their subsequent management. The goals are to simplify radiology reports while increasing the consistency and accuracy of the interpretation of cancer surveillance imaging; enable better communication among clinicians and between clinicians and patients; facilitate outcomes research; and ultimately improve patient survival, morbidity, and mortality. The objective of the current study was to provide the background as to why and how NI-RADS was conceived and what it entails in radiology reporting.
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Affiliation(s)
- Amy F Juliano
- Department of Radiology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts
| | - Ashley H Aiken
- Department of Radiology, Emory University Hospital, Emory University School of Medicine, Atlanta, Georgia
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Wagner JM, Monfore N, McCullough AJ, Zhao L, Conrad RD, Krempl GA, Alleman AM. Ultrasound-Guided Fine-Needle Aspiration With Optional Core Needle Biopsy of Head and Neck Lymph Nodes and Masses: Comparison of Diagnostic Performance in Treated Squamous Cell Cancer Versus All Other Lesions. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2019; 38:2275-2284. [PMID: 30593702 DOI: 10.1002/jum.14918] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 10/01/2018] [Accepted: 10/29/2018] [Indexed: 06/09/2023]
Abstract
OBJECTIVES To evaluate the diagnostic performance of ultrasound (US)-guided fine-needle aspiration with optional core needle biopsy of head and neck lymph nodes and masses, with attention to differences between biopsy of treated squamous cell carcinoma (SCC) and biopsy of other lesions. METHODS Institutional Review Board approval was obtained, and the need for consent was waived for this retrospective study. All 861 US-guided biopsies of head and neck lymph nodes and masses performed between March 1, 2012, and May 16, 2016, were reviewed. RESULTS Of the 861 biopsies, 53 targeted SCC with residual masses after treatment. The biopsy procedures yielded benign or malignant pathologic results in 71.7% (38 of 53) of treated SCC and 90.7% (733 of 808) of all other lesions (P < .001). A reference standard based on subsequent pathologic results or clinical and imaging follow-up was established in 68.4% of procedures. In cases with benign or malignant biopsy results and a subsequent reference standard, the sensitivity values for malignancy were 87.5% (95% confidence interval, 64.0%-96.5%) in treated SCC and 98.3% (95% confidence interval, 96.0%-99.3%) in all other cases (P = .047), and the specificity values were 63.6% (95% confidence interval, 35.4%-84.8%) in treated SCC and 99.5% (95% confidence interval, 97.3%-99.9%) in all other cases (P < .001). There were no major complications related to the biopsy procedures. CONCLUSIONS Excluding treated SCC, US-guided fine-needle aspiration with optional core needle biopsy of head and neck lymph nodes and masses has excellent diagnostic performance. Needle biopsy of head and neck SCC with a residual mass after therapy has a high rate of nondiagnostic samples, suboptimal sensitivity, and poor specificity.
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Affiliation(s)
- Jason M Wagner
- Departments of Radiological Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Natosha Monfore
- Departments of Radiological Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Austin J McCullough
- College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Lichao Zhao
- Departments of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
- Dr Zhao is now affiliated with Pathology and Laboratory Medicine Services, Central Texas Veterans Health Care System, Temple, Texas, USA
| | - Rachel D Conrad
- Departments of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Greg A Krempl
- Departments of Otorhinolaryngology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Anthony M Alleman
- Departments of Radiological Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
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Prestwich RJD, Arunsingh M, Zhong J, Dyker KE, Vaidyanathan S, Scarsbrook AF. Second-look PET-CT following an initial incomplete PET-CT response to (chemo)radiotherapy for head and neck squamous cell carcinoma. Eur Radiol 2019; 30:1212-1220. [PMID: 31485835 DOI: 10.1007/s00330-019-06401-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Revised: 07/03/2019] [Accepted: 07/26/2019] [Indexed: 12/25/2022]
Abstract
OBJECTIVES The limited positive predictive value of an incomplete response on PET-CT following (chemo)radiotherapy for head and neck squamous cell carcinoma (HNSCC) means that the optimal management strategy remains uncertain. The aim of the study is to assess the utility of a 'second-look' interval PET-CT. METHODS Patients with HNSCC who were treated with (chemo)radiotherapy between 2008 and 2017 and underwent (i) baseline and (ii) response assessment PET-CT and (iii) second-look PET-CT following incomplete (positive or equivocal scan) response were included. Endpoints were conversion rate to complete response (CR) and test characteristics of the second-look PET-CT. RESULTS Five hundred sixty-two patients with HNSCC underwent response assessment PET-CT at a median of 17 weeks post-radiotherapy. Following an incomplete response on PET-CT, 40 patients underwent a second-look PET-CT at a median of 13 weeks (range 6-25) from the first response PET-CT. Thirty-four out of 40 (85%) patients had oropharyngeal carcinoma. Twenty-four out of 40 (60%) second-look PET-CT scans converted to a complete locoregional response. The primary tumour conversion rate was 15/27 (56%) and the lymph node conversion rate was 14/19 (74%). The sensitivity, specificity, positive predictive value and negative predictive value (NPV) of the second-look PET-CT were 75%, 75%, 25% and 96% for the primary tumour and 100%, 92%, 40% and 100% for lymph nodes. There were no cases of progression following conversion to CR in the primary site or lymph nodes. CONCLUSIONS The majority of patients who undergo a second-look PET-CT convert to a CR. The NPV of a second-look PET-CT is high, suggesting the potential to avoid surgical intervention. KEY POINTS • PET-CT is a useful tool for response assessment following (chemo)radiotherapy for head and neck squamous cell carcinoma. • An incomplete response on PET-CT has a limited positive predictive value and optimal management is uncertain. • These data show that with a 'second-look' interval PET-CT, the majority of patients convert to a complete metabolic response. When there is doubt about clinical and radiological response, a 'second-look' PET-CT can be used to spare patients unnecessary surgical intervention.
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Affiliation(s)
- Robin J D Prestwich
- Department of Clinical Oncology, Leeds Cancer Centre, Leeds, LS9 7TF, UK. .,Level 4, Leeds Cancer Centre, St. James's University Hospital, Beckett St., Leeds, LS9 7TF, UK.
| | - Moses Arunsingh
- Department of Clinical Oncology, Leeds Cancer Centre, Leeds, LS9 7TF, UK
| | - Jim Zhong
- Department of Nuclear Medicine and Radiology, Leeds Cancer Centre, Leeds, UK
| | - Karen E Dyker
- Department of Clinical Oncology, Leeds Cancer Centre, Leeds, LS9 7TF, UK
| | - Sriram Vaidyanathan
- Department of Nuclear Medicine and Radiology, Leeds Cancer Centre, Leeds, UK
| | - Andrew F Scarsbrook
- Department of Nuclear Medicine and Radiology, Leeds Cancer Centre, Leeds, UK.,Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
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Hsu D, Chokshi FH, Hudgins PA, Kundu S, Beitler JJ, Patel MR, Aiken AH. Predictive Value of First Posttreatment Imaging Using Standardized Reporting in Head and Neck Cancer. Otolaryngol Head Neck Surg 2019; 161:978-985. [PMID: 31331239 DOI: 10.1177/0194599819865235] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVE The Neck Imaging Reporting and Data System (NI-RADS) is a standardized numerical reporting template for surveillance of head and neck squamous cell carcinoma (HNSCC). Our aim was to analyze the accuracy of NI-RADS on the first posttreatment fluorodeoxyglucose positron emission tomography/contrast-enhanced computed tomography (PET/CECT). STUDY DESIGN Retrospective cohort study. SETTING Academic tertiary hospital. SUBJECT AND METHODS Patients with HNSCC with a 12-week posttreatment PET/CECT interpreted using the NI-RADS template and 9 months of clinical and radiologic follow-up starting from treatment completion between June 2014 and July 2016 were included. Treatment failure was defined as positive tumor confirmed by biopsy or Response Evaluation Criteria in Solid Tumors criteria. Cox proportional hazards models were performed. RESULTS This study comprised 199 patients followed for a median of 15.5 months after treatment completion (25% quartile, 11.8 months; 75% quartile, 20.2 months). The rates of treatment failure increased with each incremental increase in NI-RADS category from 1 to 3 (4.3%, 9.1%, and 42.1%, respectively). A Cox proportional hazards model demonstrated a strong association between NI-RADS categories and treatment failure at both primary and neck sites (hazard ratio [HR], 2.60 and 5.22, respectively; P < .001). In the smaller treatment subgroup analysis, increasing NI-RADS category at the primary site in surgically treated patients and treatment failure did not achieve statistically significant association (HR, 0.88; P = .82). CONCLUSION Increasing NI-RADS category at the baseline posttreatment PET/CECT is strongly associated with increased risk of treatment failure in patients with HNSCC.
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Affiliation(s)
- Derek Hsu
- Emory University School of Medicine, Atlanta, Georgia, USA
| | - Falgun H Chokshi
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.,Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Patricia A Hudgins
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Suprateek Kundu
- Department of Biostatistics and Bioinformatics, Emory School of Public Health, Atlanta, Georgia, USA
| | - Jonathan J Beitler
- Department of Radiation Oncology, Emory University School of Medicine, Atlanta, Georgia, USA.,Department of Otolaryngology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Mihir R Patel
- Department of Otolaryngology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Ashley H Aiken
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
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Institutional Implementation of a Structured Reporting System: Our Experience with the Brain Tumor Reporting and Data System. Acad Radiol 2019; 26:974-980. [PMID: 30661977 DOI: 10.1016/j.acra.2018.12.023] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 12/17/2018] [Accepted: 12/18/2018] [Indexed: 11/24/2022]
Abstract
RATIONALE AND OBJECTIVES Analyze the impact of implementing a structured reporting system for primary brain tumors, the Brain Tumor Reporting and Data System, on attitudes toward radiology reports at a single institution. MATERIALS AND METHODS Following Institutional Review Board approval, an initial 22 question, 5 point (1-worst to 5-best), survey was sent to faculty members, house staff members, and nonphysician providers at our institution who participate in the direct care of brain tumor patients. Results were used to develop a structured reporting strategy for brain tumors which was implemented across an entire neuroradiology section in a staged approach. Nine months following structured reporting implementation, a follow-up 27 question survey was sent to the same group of providers. Keyword search of radiology reports was used to assess usage of Brain Tumor Reporting and Data System over time. RESULTS Fifty-three brain tumor care providers responded to the initial survey and 38 to the follow-up survey. After implementing BT-RADS, respondents reported improved attitudes across multiple areas including: report consistency (4.3 vs. 3.4; p < 0.001), report ambiguity (4.2 vs. 3.2, p < 0.001), radiologist/physician communication (4.5 vs. 3.8; p < 0.001), facilitation of patient management (4.2 vs. 3.6; p = 0.003), and confidence in reports (4.3 vs. 3.5; p < 0.001). Providers were more satisfied with the BT-RADS structured reporting system (4.3 vs. 3.7; p = 0.04). Use of the reporting template progressively increased with 81% of brain tumor reports dictated using the new template by 9 months. CONCLUSION Implementing a structured template for brain tumor imaging improves perception of radiology reports among radiologists and referring providers involved in the care of brain tumor patients.
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Seeburg DP, Baer AH, Aygun N. Imaging of Patients with Head and Neck Cancer. Oral Maxillofac Surg Clin North Am 2018; 30:421-433. [DOI: 10.1016/j.coms.2018.06.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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48
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Wangaryattawanich P, Branstetter BF, Hughes M, Clump DA, Heron DE, Rath TJ. Negative Predictive Value of NI-RADS Category 2 in the First Posttreatment FDG-PET/CT in Head and Neck Squamous Cell Carcinoma. AJNR Am J Neuroradiol 2018; 39:1884-1888. [PMID: 30166429 DOI: 10.3174/ajnr.a5767] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 06/28/2018] [Indexed: 02/02/2023]
Abstract
BACKGROUND AND PURPOSE FDG PET/CT has a high negative predictive value in patients with head and neck squamous cell carcinoma who responds completely to non-operative therapy. However, the treatment failure rate in patients with a partial but incomplete response is unclear. Our aim was to investigate the negative predictive value of the first posttreatment FDG-PET/CT in patients with head and neck squamous cell carcinoma with incomplete response interpreted as Neck Imaging Reporting and Data System (NI-RADS) category 2. MATERIALS AND METHODS We retrospectively identified patients with head and neck squamous cell carcinoma treated with chemoradiation or radiation therapy with curative intent in our institution between 2008 and 2016. We included patients whose first posttreatment FDG-PET/CT was interpreted as showing marked improvement of disease but who had a mild residual mass or FDG avidity in either the primary tumor bed or lymph nodes (NI-RADS 2). The negative predictive value of FDG-PET/CT was calculated, including the 95% CI, using the Newcombe method. Two-year disease-free survival was the reference standard. RESULTS Seventeen of 110 patients (15%) experienced locoregional treatment failure within 2 years of completing treatment, yielding a negative predictive value of 85% (95% Cl, 77%-90%). The most common location of tumor recurrence was the cervical lymph nodes (59%). The median time interval between completion of therapy and treatment failure was 10 months (range, 5-24 months). CONCLUSIONS In patients with an incomplete response after treatment of head and neck squamous cell carcinoma, the negative predictive value of the first posttreatment FDG-PET/CT was 85%, which is lower than the 91% negative predictive value of FDG-PET/CT in patients with an initial complete response. Patients with an incomplete response (NI-RADS 2) should undergo more frequent clinical and imaging surveillance than patients with an initial complete response (NI-RADS 1).
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Affiliation(s)
| | - B F Branstetter
- From the Departments of Radiology (P.W, B.F.B., M.H., T.J.R.).,Otolaryngology (B.F.B., M.H., T.J.R.).,Biomedical Informatics (B.F.B.)
| | - M Hughes
- From the Departments of Radiology (P.W, B.F.B., M.H., T.J.R.).,Otolaryngology (B.F.B., M.H., T.J.R.)
| | - D A Clump
- Radiation Oncology (D.A.C., D.E.H.), University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - D E Heron
- Radiation Oncology (D.A.C., D.E.H.), University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - T J Rath
- From the Departments of Radiology (P.W, B.F.B., M.H., T.J.R.) .,Otolaryngology (B.F.B., M.H., T.J.R.)
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Aiken AH, Rath TJ, Anzai Y, Branstetter BF, Hoang JK, Wiggins RH, Juliano AF, Glastonbury C, Phillips CD, Brown R, Hudgins PA. ACR Neck Imaging Reporting and Data Systems (NI-RADS): A White Paper of the ACR NI-RADS Committee. J Am Coll Radiol 2018; 15:1097-1108. [DOI: 10.1016/j.jacr.2018.05.006] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 05/05/2018] [Indexed: 01/21/2023]
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50
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Management-Based Structured Reporting of Posttreatment Glioma Response With the Brain Tumor Reporting and Data System. J Am Coll Radiol 2018; 15:767-771. [DOI: 10.1016/j.jacr.2018.01.022] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 01/11/2018] [Accepted: 01/15/2018] [Indexed: 01/24/2023]
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