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Sahin O, Kamel S, Wahid KA, Dede C, Taku N, He R, Naser MA, Sharafi S, Mäkitie A, Kann BH, Kaski K, Sahlsten J, Jaskari J, Amit M, Chronowski GM, Diaz EM, Garden AS, Goepfert RP, Guenette JP, Gunn GB, Hirvonen J, Hoebers F, Hutcheson KA, Guha-Thakurta N, Johnson J, Kaya D, Khanpara SD, Nyman K, Lai SY, Lango M, Learned KO, Lee A, Lewis CM, Maniakas A, Moreno AC, Myers JN, Phan J, Pytynia KB, Rosenthal DI, Sandulache VC, Schellingerhout D, Shah SJ, Sikora AG, Mohamed ASR, Chen MM, Fuller CD. International Multi-Specialty Expert Physician Preoperative Identification of Extranodal Extension n Oropharyngeal Cancer Patients using Computed Tomography: Prospective Blinded Human Inter-Observer Performance Evaluation. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.02.25.23286432. [PMID: 36865096 PMCID: PMC9980252 DOI: 10.1101/2023.02.25.23286432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
Importance Extranodal extension (pENE) is a critical prognostic factor in oropharyngeal cancer (OPC) that drives therapeutic disposition. Determination of pENE from radiological imaging has been associated with high inter-observer variability. However, the impact of clinician specialty on human observer performance of imaging-detected extranodal extension (iENE) remains poorly understood. Objective To characterize the impact of clinician specialty on the accuracy of pre-operative iENE in human papillomavirus-positive (HPV+) OPC using computed tomography (CT) images. Design Setting and Participants This prospective observational human performance study analyzed pre-therapy CT images from 24 HPV+ OPC patients, with duplication of 6 scans (n=30) of which 21 were pathologically confirmed pENE. Thirty-four expert observers, including 11 radiologists, 12 surgeons, and 11 radiation oncologists, independently assessed these scans for iENE and reported human-detected radiologic criteria and observer confidence. Main Outcomes and Measures The primary outcomes included accuracy, sensitivity, specificity, area under the receiver operating characteristic curve (AUC), and Brier score for each physician, compared to ground-truth pENE. The significance of radiographic signs for prediction of pENE were determined through logistic regression analysis. Fleiss' kappa measured interobserver agreement, and Hanley-MacNeil AUC discrimination testing. Results Median accuracy across all specialties was 0.57 (95%CI 0.39 to 0.73), with no specialty showing discriminate performance greater than random estimation (median AUC 0.64, 95%CI 0.44 to 0.83). Significant differences between radiologists and surgeons in Brier scores (0.33 vs. 0.26, p < 0.01), radiation oncologists and surgeons in sensitivity (0.48 vs. 0.69, p > 0.1), and radiation oncologists and radiologists/surgeons in specificity (0.89 vs. 0.56, p > 0.1). Indistinct capsular contour and nodal necrosis were significant predictors of correct pENE status among all specialties. Interobserver agreement was weak for all the radiographic criteria, regardless of specialty (κ<0.6). Conclusions and Relevance Multiobserver testing shows physician discrimination of HPV+OPC pENE on pre-operative CT remains non-different than blind guessing, with high interrater variability and low diagnostic accuracy, regardless of clinician specialty. While minor differences in diagnostic performance among specialties are noted, they do not significantly affect the overall poor agreement and discrimination rates observed. The findings underscore the need for further research into automated detection systems or enhanced imaging techniques to improve the accuracy and reliability of iENE assessments in clinical practice.
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Affiliation(s)
| | - Onur Sahin
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | | | - Kareem A. Wahid
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Cem Dede
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Nicolette Taku
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Renjie He
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | | | - Setareh Sharafi
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Antti Mäkitie
- University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Benjamin H. Kann
- Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | | | | | | | - Moran Amit
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | | | - Eduardo M. Diaz
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Adam S. Garden
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | | | - Jeffrey P. Guenette
- Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - G. Brandon Gunn
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Jussi Hirvonen
- Tampere University, Faculty of Medicine and Health Technology and Tampere University Hospital, Tampere, Finland
| | - Frank Hoebers
- Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | | | | | - Jason Johnson
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Diana Kaya
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | | | - Kristofer Nyman
- University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Stephen Y. Lai
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Miriam Lango
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Kim O. Learned
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Anna Lee
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Carol M. Lewis
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | | | - Amy C. Moreno
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | | | - Jack Phan
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | | | | | - Vlad C. Sandulache
- Department of Otolaryngology Head and Neck Surgery, Baylor College of Medicine, Houston, USA
| | | | - Shalin J. Shah
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | | | - Abdallah S. R. Mohamed
- The University of Texas MD Anderson Cancer Center, Houston, USA
- Department of Otolaryngology Head and Neck Surgery, Baylor College of Medicine, Houston, USA
| | - Melissa M. Chen
- The University of Texas MD Anderson Cancer Center, Houston, USA
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Pupić-Bakrač J, Jayasekara S, Peiris PM, Jayasinghe LAH, Kapugama K, Jayasuriya NSS, Wijekoon P, Attygalla M. Malignancy and "Violated Neck" Rates in Consecutive Cohort of 79 Adult Patients With Solitary Cystic Neck Mass-Lessons Learned and Recommendations for Clinical Practice Guidelines. J Craniofac Surg 2024; 35:e380-e385. [PMID: 38651860 DOI: 10.1097/scs.0000000000010122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 02/12/2024] [Indexed: 04/25/2024] Open
Abstract
OBJECTIVE The neck region is a common site for solitary cystic neck mass (SCNM) of various etiologies, including congenital, inflammatory, and neoplastic. In adults, the primary focus is excluding malignancy. The objective of this study was to retrospectively analyze the accuracy of available diagnostic technologies for the differentiation of benign and malignant SCNM in adult patients. The study aimed to develop new clinical practice guidelines for evaluating and managing SCNM. METHODS The primary predictive variables were the diagnostic utilities of fine-needle aspiration cytology (FNAC), ultrasound (U/S), multislice computed tomography, and magnetic resonance imaging. The study's endpoint was the overall diagnostic accuracy in differentiating between benign and malignant SCNM. The final diagnosis was based on histopathology. RESULTS The study included 79 adult patients: 55 (69.62%) male and 24 (30.38%) female ( P <0.05). The mean age at presentation was 42.1 years (range: 18-84 years). Solitary cystic neck mass was distributed in the anterior neck region in 30 (37.97%) patients and the posterolateral neck regions in 49 (62.03%) patients ( P <0.05). The posterolateral neck regions had a significantly higher rate of malignant SCNM than the anterior neck region [19/49 (38.78%) versus 1/30 (3.33%)] ( P <0.05). There was no statistically significant difference between the U/S+FNAC and U/S+FNAC+multislice computed tomography and/or magnetic resonance imaging groups in differentiating benign and malignant SCNM (40/42 versus 36/37, P >0.05). "Violated neck" was recorded in 2 cases. CONCLUSION A systematic investigation protocol should be applied to evaluate adult patients with SCNM.
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Affiliation(s)
- Jure Pupić-Bakrač
- Department of Otorhinolaryngology and Maxillofacial Surgery, General Hospital Zadar, Zadar, Croatia
| | - Sandeep Jayasekara
- Department of Oral and Maxillofacial Surgery, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka
| | - Prasangi M Peiris
- Department of Oral and Maxillofacial Surgery, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka
| | | | - Kanchana Kapugama
- Department of Oral and Maxillofacial Surgery, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka
| | - Nadeena S S Jayasuriya
- Department of Oral and Maxillofacial Surgery, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka
| | - Parakrama Wijekoon
- Department of Oral and Maxillofacial Surgery, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka
| | - Manjula Attygalla
- Department of Oral and Maxillofacial Surgery, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka
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Chen LL, Lauwers I, Verduijn G, Philippens M, Gahrmann R, Capala ME, Petit S. MRI for Differentiation between HPV-Positive and HPV-Negative Oropharyngeal Squamous Cell Carcinoma: A Systematic Review. Cancers (Basel) 2024; 16:2105. [PMID: 38893224 PMCID: PMC11171338 DOI: 10.3390/cancers16112105] [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: 04/22/2024] [Revised: 05/27/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024] Open
Abstract
Human papillomavirus (HPV) is an important risk factor for oropharyngeal squamous cell carcinoma (OPSCC). HPV-positive (HPV+) cases are associated with a different pathophysiology, microstructure, and prognosis compared to HPV-negative (HPV-) cases. This review aimed to investigate the potential of magnetic resonance imaging (MRI) to discriminate between HPV+ and HPV- tumours and predict HPV status in OPSCC patients. A systematic literature search was performed on 15 December 2022 on EMBASE, MEDLINE ALL, Web of Science, and Cochrane according to PRISMA guidelines. Twenty-eight studies (n = 2634 patients) were included. Five, nineteen, and seven studies investigated structural MRI (e.g., T1, T2-weighted), diffusion-weighted MRI, and other sequences, respectively. Three out of four studies found that HPV+ tumours were significantly smaller in size, and their lymph node metastases were more cystic in structure than HPV- ones. Eleven out of thirteen studies found that the mean apparent diffusion coefficient was significantly higher in HPV- than HPV+ primary tumours. Other sequences need further investigation. Fourteen studies used MRI to predict HPV status using clinical, radiological, and radiomics features. The reported areas under the curve (AUC) values ranged between 0.697 and 0.944. MRI can potentially be used to find differences between HPV+ and HPV- OPSCC patients and predict HPV status with reasonable accuracy. Larger studies with external model validation using independent datasets are needed before clinical implementation.
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Affiliation(s)
- Linda L. Chen
- Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands (G.V.); (M.E.C.)
| | - Iris Lauwers
- Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands (G.V.); (M.E.C.)
| | - Gerda Verduijn
- Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands (G.V.); (M.E.C.)
| | - Marielle Philippens
- Department of Radiotherapy, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Renske Gahrmann
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands;
| | - Marta E. Capala
- Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands (G.V.); (M.E.C.)
| | - Steven Petit
- Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands (G.V.); (M.E.C.)
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Adrian G, Gebre-Medhin M, Nilsson P. Importance of tumor volume, overall treatment time and fractionation sensitivity for p16-positive and p16-negative oropharyngeal tumors. Acta Oncol 2023; 62:1375-1383. [PMID: 37682690 DOI: 10.1080/0284186x.2023.2251084] [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: 05/25/2023] [Accepted: 08/18/2023] [Indexed: 09/10/2023]
Abstract
BACKGROUND Analyses of clinical outcomes following radiotherapy (RT) have advanced our understanding of fundamental radiobiological characteristics in head and neck squamous cell carcinoma (HNSCC). Low fractionation sensitivity appears to be a common feature, as well as susceptibility to changes in overall treatment time (OTT). Large tumors should be harder to cure if a successful RT requires the sterilization of all clonogenic cells. Congruently, primary tumor volume has proven to be an important parameter. However, most findings come from an era when p16-negative HNSCC was the dominant tumor type. HPV-associated, p16-positive, oropharyngeal tumors (OPSCC) are more radiosensitive and have better outcome. The current study aims to investigate the role of primary tumor volume, OTT and estimate α/ β -ratio for p16-positive OPSCC, and to quantify the differences in radiosensitivity depending on p16-status. METHODS A cohort of 523 patients treated with RT was studied using a tumor control probability (TCP)-model that incorporates primary tumor volume (V) raised to an exponent c, OTT and α/ β -estimation. The significance of V was also investigated in Cox-regression models. RESULTS In the p16-positive cohort (n = 433), the volume exponent c was 1.44 (95%CI 1.06-1.91), compared to 0.90 (0.54-1.32) for p16-negative tumors (n = 90). Hazard ratios per tumor volume doubling were 2.37 (1.72-3.28) and 1.83 (1.28-2.62) for p16-positive and p16-negative, respectively. The estimated α/ β -ratio was 9.7 Gy (-2.3-21.6), and a non-significant daily loss of 0.30 Gy (-0.17-0.92) was found. An additional dose of 6.8 Gy (interquartile range 4.8-9.1) may theoretically counteract the more radioresistant behavior of p16-negative tumors. CONCLUSION Primary tumor volume plays a crucial role in predicting local tumor response, particularly in p16-positive OPSCC. The estimated α/β-ratio for p16-positive oropharyngeal tumors aligns with previous HNSCC studies, whereas the impact of prolonged OTT was slightly less than previously reported. The differences in radiosensitivity depending on p16-status were quantified. The findings should be validated in independent cohorts.
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Affiliation(s)
- Gabriel Adrian
- Department of Hematology, Oncology, and Radiation Physics, Skåne University Hospital, Lund University, Lund, Sweden
- Department of Clinical Sciences Lund, Division of Oncology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Maria Gebre-Medhin
- Department of Hematology, Oncology, and Radiation Physics, Skåne University Hospital, Lund University, Lund, Sweden
| | - Per Nilsson
- Department of Clinical Sciences, Medical Radiation Physics, Skåne University Hospital, Lund University, Lund, Sweden
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Bicci E, Calamandrei L, Mungai F, Granata V, Fusco R, De Muzio F, Bonasera L, Miele V. Imaging of human papilloma virus (HPV) related oropharynx tumour: what we know to date. Infect Agent Cancer 2023; 18:58. [PMID: 37814320 PMCID: PMC10563217 DOI: 10.1186/s13027-023-00530-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 09/11/2023] [Indexed: 10/11/2023] Open
Abstract
The tumours of head and neck district are around 3% of all malignancies and squamous cell carcinoma is the most frequent histotype, with rapid increase during the last two decades because of the increment of the infection due to human papilloma virus (HPV). Even if the gold standard for the diagnosis is histological examination, including the detection of viral DNA and transcription products, imaging plays a fundamental role in the detection and staging of HPV + tumours, in order to assess the primary tumour, to establish the extent of disease and for follow-up. The main diagnostic tools are Computed Tomography (CT), Positron Emission Tomography-Computed Tomography (PET-CT) and Magnetic Resonance Imaging (MRI), but also Ultrasound (US) and the use of innovative techniques such as Radiomics have an important role. Aim of our review is to illustrate the main imaging features of HPV + tumours of the oropharynx, in US, CT and MRI imaging. In particular, we will outline the main limitations and strengths of the various imaging techniques, the main uses in the diagnosis, staging and follow-up of disease and the fundamental differential diagnoses of this type of tumour. Finally, we will focus on the innovative technique of texture analysis, which is increasingly gaining importance as a diagnostic tool in aid of the radiologist.
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Affiliation(s)
- Eleonora Bicci
- Department of Radiology, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Florence, 50134, Italy.
| | - Leonardo Calamandrei
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Florence, 50134, Italy
| | - Francesco Mungai
- Department of Radiology, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Florence, 50134, Italy
| | - Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli, Naples, 80131, Italy
| | - Roberta Fusco
- Medical Oncology Division, Igea SpA, Naples, 80013, Italy
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Milan, 20122, Italy
| | - Federica De Muzio
- Department of Medicine and Health Sciences V. Tiberio, University of Molise, Campobasso, 86100, Italy
| | - Luigi Bonasera
- Department of Radiology, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Florence, 50134, Italy
| | - Vittorio Miele
- Department of Radiology, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Florence, 50134, Italy
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Piotrowicz O, Jia HN, Blazak J. F18-FDG PET/CT accuracy in nodal staging of head and neck squamous cell carcinoma and correlation of SUV max to the likelihood of a confirmed nodal metastasis. J Med Imaging Radiat Sci 2022; 53:599-604. [PMID: 36272860 DOI: 10.1016/j.jmir.2022.09.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 09/17/2022] [Accepted: 09/20/2022] [Indexed: 11/29/2022]
Abstract
INTRODUCTION This study aimed to determine F18-Fluorodeoxyglucose Positron Emission Tomography/ Computerised Tomography (FDG-PET/CT) accuracy in nodal staging of head and neck squamous cell carcinoma (HNSCC) and investigate the relationship between increasing standard uptake value max (SUVmax) thresholds and the likelihood of a diagnosis of nodal malignancy on histopathological analysis. METHODS Histopathological diagnosis was correlated retrospectively with the reported nodal involvement on PET/CT scans. Data was analysed to determine the accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). SUVmax was measured for the most FDG-avid node in the nodal levels noted to be malignant on histopathological analysis and for those deemed malignant in the PET/CT report. A range of SUVmax thresholds was then applied retrospectively to calculate the corresponding likelihood of a node being truly malignant. RESULTS The "per lymph node level" analysis (n=216) found accuracy of 81.5%, sensitivity of 68.8%, specificity of 85.1%, PPV of 59.9% and NPV of 90.5%. A strong positive correlation was found between the threshold SUVmax and the likelihood of a diagnosis of malignancy on histopathological analysis. A significant increase in likelihood from 72.2% to 83.3% was found when the SUVmax threshold was increased from 4.0 to 4.5. CONCLUSION This study reinforces the utility of PET/CT as a diagnostic tool for ruling out malignant nodal dissemination due to its high NPV. Secondly, it shows a strong positive correlation between SUVmax of the lymph node and its likelihood of being malignant, which may assist in determining which lymph nodes should be biopsied.
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Affiliation(s)
- Oskar Piotrowicz
- Radiology Department, Sunshine Coast University Hospital, 6 Doherty Street, Birtinya, Sunshine Coast, Queensland 4575, Australia.
| | - Hui Ning Jia
- Griffith University, Gold Coast, Queensland, Australia
| | - John Blazak
- Radiology Department, Sunshine Coast University Hospital, 6 Doherty Street, Birtinya, Sunshine Coast, Queensland 4575, Australia
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Touska P, Connor S. Imaging of human papilloma virus associated oropharyngeal squamous cell carcinoma and its impact on diagnosis, prognostication, and response assessment. Br J Radiol 2022; 95:20220149. [PMID: 35687667 PMCID: PMC9815738 DOI: 10.1259/bjr.20220149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 05/22/2022] [Accepted: 06/07/2022] [Indexed: 01/13/2023] Open
Abstract
The clinical behaviour and outcomes of patients with oropharyngeal cancer (OPC) may be dichotomised according to their association with human papilloma virus (HPV) infection. Patients with HPV-associated disease (HPV+OPC) have a distinct demographic profile, clinical phenotype and demonstrate considerably better responses to chemoradiotherapy. This has led to a reappraisal of staging and treatment strategies for HPV+OPC, which are underpinned by radiological data. Structural modalities, such as CT and MRI can provide accurate staging information. These can be combined with ultrasound-guided tissue sampling and functional techniques (such as diffusion-weighted MRI and 18F-fludeoxyglucose positron emission tomography-CT) to monitor response to treatment, derive prognostic information, and to identify individuals who might benefit from intensification or deintensification strategies. Furthermore, advanced MRI techniques, such as intravoxel incoherent motion and perfusion MRI as well as application of artificial intelligence and radiomic techniques, have shown promise in treatment response monitoring and prognostication. The following review will consider the contemporary role and knowledge on imaging in HPV+OPC.
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Affiliation(s)
- Philip Touska
- Department of Radiology, Guy’s and St. Thomas’ NHS Foundation Trust, London, United Kingdom
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Pupić-Bakrač J, Rašić M. Prognostic significance of cystic nodal metastasis in HPV-positive oropharyngeal cancer. EAR, NOSE & THROAT JOURNAL 2022:1455613221112340. [PMID: 35786073 DOI: 10.1177/01455613221112340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
This is a brief communication stressing some critical points associated with cystic nodal metastasis (CNM) in human papillomavirus (HPV) positive oropharyngeal squamous cell carcinoma (OPSCC) and its implication on treatment protocols and outcomes.
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Affiliation(s)
- Jure Pupić-Bakrač
- Department of Otorhinolaryngology and Maxillofacial Surgery, General Hospital Zadar, Zadar, Croatia
| | - Mario Rašić
- University Hospital for Tumors, Sestre Milosrdnice University Hospital Centre, Zagreb, Croatia
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Tofanelli M, Rigo S, Polesel J, Zanconati F, Bonazza D, Vito Marcuzzo A, Gardenal N, Boscolo-Rizzo P, Tirelli G. Accuracy of fine-needle aspiration and frozen section for the detection of squamous metastasis in cystic masses of the lateral neck. Br J Oral Maxillofac Surg 2022; 60:1261-1265. [DOI: 10.1016/j.bjoms.2022.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 06/07/2022] [Accepted: 07/22/2022] [Indexed: 10/16/2022]
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Role of Texture Analysis in Oropharyngeal Carcinoma: A Systematic Review of the Literature. Cancers (Basel) 2022; 14:cancers14102445. [PMID: 35626048 PMCID: PMC9139172 DOI: 10.3390/cancers14102445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/02/2022] [Accepted: 05/10/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary The incidence of squamous cell carcinomas of the oropharynx has rapidly increased in the last two decades due to human papilloma virus infection (HPV). HPV-positive and HPV-negative squamous cell tumours differ in radiological imaging, treatment, and prognosis; therefore, differential diagnosis is mandatory. Radiomics with texture analysis is an innovative technique that has been used increasingly in recent years to characterise the tissue heterogeneity of certain structures such as neoplasms or organs by measuring the spatial distribution of pixel values on radiological imaging. This review delineates the application of texture analysis in oropharyngeal tumours and explores how radiomics may potentially improve clinical decision-making. Abstract Human papilloma virus infection (HPV) is associated with the development of lingual and palatine tonsil carcinomas. Diagnosing, differentiating HPV-positive from HPV-negative cancers, and assessing the presence of lymph node metastases or recurrences by the visual interpretation of images is not easy. Texture analysis can provide structural information not perceptible to human eyes. A systematic literature search was performed on 16 February 2022 for studies with a focus on texture analysis in oropharyngeal cancers. We conducted the research on PubMed, Scopus, and Web of Science platforms. Studies were screened for inclusion according to the preferred reporting items for systematic reviews. Twenty-six studies were included in our review. Nineteen articles related specifically to the oropharynx and seven articles analysed the head and neck area with sections dedicated to the oropharynx. Six, thirteen, and seven articles used MRI, CT, and PET, respectively, as the imaging techniques by which texture analysis was performed. Regarding oropharyngeal tumours, this review delineates the applications of texture analysis in (1) the diagnosis, prognosis, and assessment of disease recurrence or persistence after therapy, (2) early differentiation of HPV-positive versus HPV-negative cancers, (3) the detection of cancers not visualised by imaging alone, and (4) the assessment of lymph node metastases from unknown primary carcinomas.
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Bozec A, Culié D, Poissonnet G, Demard F, Dassonville O. Current Therapeutic Strategies in Patients with Oropharyngeal Squamous Cell Carcinoma: Impact of the Tumor HPV Status. Cancers (Basel) 2021; 13:cancers13215456. [PMID: 34771619 PMCID: PMC8582410 DOI: 10.3390/cancers13215456] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 10/28/2021] [Accepted: 10/28/2021] [Indexed: 01/19/2023] Open
Abstract
Simple Summary Contrary to other head and neck subsites, oropharyngeal squamous cell carcinoma (OPSCC) has shown a considerable increase in incidence over the past 20 years. This growing incidence is largely due to the increasing place of human papillomavirus (HPV)-related tumors. HPV-positive and HPV-negative OPSCC are two distinct entities with considerable differences in terms of treatment response and prognosis. However, there are no specific recommendations yet in the therapeutic management of OPSCC patients according to their tumor HPV-status. The aim of this review is therefore to discuss the therapeutic management of patients with OPSCC and the impact of HPV status on treatment selection. Abstract Since there is no published randomized study comparing surgical and non-surgical therapeutic strategies in patients with oropharyngeal squamous cell carcinoma (OPSCC), the therapeutic management of these patients remains highly controversial. While human papillomavirus (HPV)-positive and HPV-negative OPSCC are now recognized as two distinct diseases with different epidemiological, biological, and clinical characteristics, the impact of HPV status on the management of OPSCC patients is still unclear. In this review, we analyze the current therapeutic options in patients with OPSCC, highlighting the most recent advances in surgical and non-surgical therapies, and we discuss the impact of HPV status on the therapeutic strategy.
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12
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Shah PH, Karagianis AG, Lester MS, Paintal AS, McComb EN. Calcified lymph nodes in the setting of head and neck squamous cell carcinoma: A predictor of HPV positivity? Clin Imaging 2021; 81:136-142. [PMID: 34710803 DOI: 10.1016/j.clinimag.2021.09.013] [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: 07/13/2021] [Revised: 09/13/2021] [Accepted: 09/21/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE Human papillomavirus (HPV) is an important cause of head and neck squamous cell carcinoma (HNSCC) and accounts for a large majority of new cases. The purpose of this study is to determine whether there is an association between nodal calcification and HPV positivity in the setting of metastatic HNSCC. METHODS Consecutive patients with HNSCC who underwent CT were retrospectively identified. Patients were then divided into two groups: those with HPV-positive HNSCC and those with HPV-negative HNSCC. Demographic, clinical, and CT data were compared between the two groups to determine factors associated with HPV-positive HNSCC. RESULTS A total of 179 patients with HNSCC were included in the final analyses, 104 (58%) of whom had HPV-positive tumors. Univariate analyses demonstrated that those with HPV-positive HNSCC were more likely to have calcified lymph nodes (p = 0.044). Analyses also confirmed previously known associations with male gender (p = 0.001), primary oropharyngeal tumors (p < 0.001), and cystic lymph nodes (<0.001). The HPV-positive HNSCC group was also less likely to have necrotic lymph nodes (p < 0.001). CONCLUSION In addition to known clinical and imaging factors associated with HPV-positive metastatic HNSCC, such as male gender, oropharyngeal primary location, and cystic lymph nodes, the presence of calcifications within cervical lymph nodes, although infrequent, provides an additional useful feature to predict HPV positivity in HNSCC. Additionally, if calcified lymph nodes are present, then a primary oropharyngeal tumor site should be considered.
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Affiliation(s)
- Parinda H Shah
- Northwestern Memorial Hospital, 676 N St Clair, Suite 800, Chicago, IL 60611, United States of America
| | - Achilles G Karagianis
- Northwestern Memorial Hospital, 676 N St Clair, Suite 800, Chicago, IL 60611, United States of America
| | - Malisa S Lester
- Northwestern Memorial Hospital, 676 N St Clair, Suite 800, Chicago, IL 60611, United States of America
| | - Ajit S Paintal
- Northwestern Memorial Hospital, 676 N St Clair, Suite 800, Chicago, IL 60611, United States of America
| | - Erin N McComb
- Northwestern Memorial Hospital, 676 N St Clair, Suite 800, Chicago, IL 60611, United States of America.
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13
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Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma: utility of deep learning in their differentiation on CT. Am J Otolaryngol 2021; 42:103026. [PMID: 33862564 DOI: 10.1016/j.amjoto.2021.103026] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 03/30/2021] [Indexed: 12/22/2022]
Abstract
OBJECTIVES Cervical lymph nodes with internal cystic changes are seen with several pathologies, including papillary thyroid carcinoma (PTC), tuberculosis (TB), and HPV-positive oropharyngeal squamous cell carcinoma (HPV+OPSCC). Differentiating these lymph nodes is difficult in the absence of a known primary tumor or reliable medical history. In this study, we assessed the utility of deep learning in differentiating the pathologic lymph nodes of PTC, TB, and HPV+OPSCC on CT. METHODS A total of 173 lymph nodes (55 PTC, 58 TB, and 60 HPV+OPSCC) were selected based on pathology records and suspicious morphological features. These lymph nodes were divided into the training set (n = 131) and the test set (n = 42). In deep learning analysis, JPEG lymph node images were extracted from the CT slice that included the largest area of each node and fed into a deep learning training session to create a diagnostic model. Transfer learning was used with the deep learning model architecture of ResNet-101. Using the test set, the diagnostic performance of the deep learning model was compared against the histopathological diagnosis and to the diagnostic performances of two board-certified neuroradiologists. RESULTS Diagnostic accuracy of the deep learning model was 0.76 (=32/42), whereas those of Radiologist 1 and Radiologist 2 were 0.48 (=20/42) and 0.41 (=17/42), respectively. Deep learning derived diagnostic accuracy was significantly higher than both of the two neuroradiologists (P < 0.01, respectively). CONCLUSION Deep learning algorithm holds promise to become a useful diagnostic support tool in interpreting cervical lymphadenopathy.
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14
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Marcus C, Sheikhbahaei S, Shivamurthy VKN, Avey G, Subramaniam RM. PET Imaging for Head and Neck Cancers. Radiol Clin North Am 2021; 59:773-788. [PMID: 34392918 DOI: 10.1016/j.rcl.2021.05.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Head and neck cancers are commonly encountered cancers in clinical practice in the United States. Fluorine-18-fluorodeoxyglucose (18F-FDG) PET/CT has been clinically applied in staging, occult primary tumor detection, treatment planning, response assessment, follow-up, recurrent disease detection, and prognosis prediction in these patients. Alternative PET tracers remain investigational and can provide additional valuable information such as radioresistant tumor hypoxia. The recent introduction of 18F-FDG PET/MR imaging has provided the advantage of combining the superior soft tissue resolution of MR imaging with the functional information provided by 18F-FDG PET. This article is a concise review of recent advances in PET imaging in head and neck cancer.
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Affiliation(s)
- Charles Marcus
- Department of Nuclear Medicine and Molecular Imaging, Emory University Hospital, Atlanta, GA, USA.
| | - Sara Sheikhbahaei
- Department of Radiology, Johns Hopkins Medical Institutions, 601 N. Caroline Street, JHOC 3235, Baltimore, MD 21287, USA
| | - Veeresh Kumar N Shivamurthy
- Epilepsy Center, St. Francis Hospital and Medical Center, Trinity Health of New England, 114 Woodland Street, Hartford, CT 06105, USA
| | - Greg Avey
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave #3284, Madison, WI 53792, USA
| | - Rathan M Subramaniam
- Dean's Office, Otago Medical School, University of Otago, 201 Great King Street, Dunedin 9016, New Zealand
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15
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Ho AS, Luu M, Kim S, Tighiouart M, Mita AC, Scher KS, Mallen-St Clair J, Walgama ES, Lin DC, Nguyen AT, Zumsteg ZS. Nodal staging convergence for HPV- and HPV+ oropharyngeal carcinoma. Cancer 2021; 127:1590-1597. [PMID: 33595897 DOI: 10.1002/cncr.33414] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 10/23/2020] [Accepted: 10/28/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND Modern disease staging systems have restructured human papillomavirus (HPV)-negative (HPV-) and HPV-positive (HPV+) oropharyngeal carcinoma (OPC) into distinct pathologic nodal systems. Given that quantitative lymph node (LN) burden is the dominant prognostic factor in most head and neck cancers, we investigated whether HPV- and HPV+ OPC warrant divergent pathologic nodal classification. METHODS Multivariable Cox regression models of OPC surgical patients identified via U.S. cancer registry data were constructed to determine associations between survival and nodal characteristics. Nonlinear associations between metastatic LN number and survival were modeled with restricted cubic splines. Recursive partitioning analysis (RPA) was used to derive unbiased nodal schema. RESULTS Mortality risk escalated continuously with each successive positive LN in both OPC subtypes, with analogous slope. Survival hazard increased by 18.5% (hazard ratio [HR], 1.19 [95% CI, 1.16-1.21]; P < .001) and 19.1% (HR, 1.19 [95% CI, 1.17-1.21]; P < .001), with each added positive LN for HPV- and HPV+ OPC, respectively, up to identical change points of 5 positive LNs. Extranodal extension (ENE) was an independent predictor of HPV- OPC (HR, 1.55 [95% CI, 1.20-1.99]; P < .001) and HPV+ OPC (HR 1.73 [95% CI, 1.36-2.20]; P < .001) mortality. In RPA for both diseases, metastatic LN was the principal nodal covariate driving survival, with ENE as a secondary determinant. Given the similarities across analyses, we propose a concise, unifying HPV-/HPV+ OPC pathologic nodal classification schema: N1, 1-5 LN+/ENE-; N2, 1-5 LN+/ENE+; N3, >5 LN+. CONCLUSION HPV- and HPV+ OPC exhibit parallel relationships between nodal characteristics and relative mortality. In both diseases, metastatic LN number represents the principal nodal covariate governing survival, with ENE being an influential secondary element. A consolidated OPC pathologic nodal staging system that is based on these covariates may best convey prognosis. LAY SUMMARY The current nodal staging system for oropharyngeal carcinoma (OPC) has divided human papillomavirus (HPV)-negative (HPV-) and HPV-positive (HPV+) OPC into distinct systems that rely upon criteria that establish them as separate entities, a complexity that may undermine the core objective of staging schema to clearly communicate prognosis. Our large-scale analysis revealed that HPV- and HPV+ pathologic nodal staging systems in fact mirror each other. Multiple analyses produced conspicuously similar nodal staging systems, with metastatic lymph node number and extranodal extension delineating the highest risk groups that shape prognosis. We propose unifying HPV- and HPV+ nodal systems to best streamline prognostication and maximize staging accuracy.
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Affiliation(s)
- Allen S Ho
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, California
| | - Michael Luu
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Biostatistics and Bioinformatics Research Center, Cedars-Sinai Medical Center, Los Angeles, California
| | - Sungjin Kim
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Biostatistics and Bioinformatics Research Center, Cedars-Sinai Medical Center, Los Angeles, California
| | - Mourad Tighiouart
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Biostatistics and Bioinformatics Research Center, Cedars-Sinai Medical Center, Los Angeles, California
| | - Alain C Mita
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Division of Medical Oncology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Kevin S Scher
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Division of Medical Oncology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Jon Mallen-St Clair
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, California
| | - Evan S Walgama
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, California
| | - De-Chen Lin
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Anthony T Nguyen
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, California
| | - Zachary S Zumsteg
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, California
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16
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Branchial cleft anomalies: hybrid "Branchial Inclusion" theory. Eur Arch Otorhinolaryngol 2021; 278:2593-2601. [PMID: 33427915 DOI: 10.1007/s00405-020-06551-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 12/04/2020] [Indexed: 02/07/2023]
Abstract
PURPOSE Branchial cleft anomalies (BCAs) are developmental malformations of the head and neck region. Their histogenesis has been the subject of controversy and is not fully understood. This study aimed to test all present developmental theories ("branchial apparatus," "precervical sinus," "thymopharyngeal," and "inclusion" theories) on a sample of 48 BCAs from a single institution. METHODS We performed a retrospective analysis of clinical-epidemiological and anatomical-pathological characteristics of BCAs treated over a 12-year period in our hospital. RESULTS Overall, 46 patients (24 [52.17%] women and 22 men [47.83%]) underwent surgical excision of 48 BCAs. The mean patient age at presentation was 31.65 ± 19.40 years. Branchial cleft cysts were found in 42 (87.50%) cases, and branchial cleft sinuses were found in six (12.50%) cases. Eight (16.67%) BCAs were distributed in the preauricular region, 34 (70.83%) at the anterior border of the sternocleidomastoid muscle (SCM), three (6.25%) at the posterior border of the SCM, two (4.17%) in the suprasternal notch, and one (2.08%) in the retrosternal space. Histopathologically, 39 (81.25%) BCAs had a lymphoepithelial structure and nine (18.75%) BCAs had solitary epithelial cells. Inflammation and infection were observed in 24 (50%) and 12 (25%) cases, respectively. CONCLUSION None of the hypothesized developmental theories fully explain the embryonic origin of BCA in our study sample. A possible explanation of BCA histogenesis is through the hybrid "branchial inclusion" theory.
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17
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Suh CH, Lee KH, Choi YJ, Chung SR, Baek JH, Lee JH, Yun J, Ham S, Kim N. Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status. Sci Rep 2020; 10:17525. [PMID: 33067484 PMCID: PMC7568530 DOI: 10.1038/s41598-020-74479-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 08/23/2020] [Indexed: 02/06/2023] Open
Abstract
We investigated the ability of machine-learning classifiers on radiomics from pre-treatment multiparametric magnetic resonance imaging (MRI) to accurately predict human papillomavirus (HPV) status in patients with oropharyngeal squamous cell carcinoma (OPSCC). This retrospective study collected data of 60 patients (48 HPV-positive and 12 HPV-negative) with newly diagnosed histopathologically proved OPSCC, who underwent head and neck MRIs consisting of axial T1WI, T2WI, CE-T1WI, and apparent diffusion coefficient (ADC) maps from diffusion-weighted imaging (DWI). The median age was 59 years (the range being 35 to 85 years), and 83.3% of patients were male. The imaging data were randomised into a training set (32 HPV-positive and 8 HPV-negative OPSCC) and a test set (16 HPV-positive and 4 HPV-negative OPSCC) in each fold. 1618 quantitative features were extracted from manually delineated regions-of-interest of primary tumour and one definite lymph node in each sequence. After feature selection by using the least absolute shrinkage and selection operator (LASSO), three different machine-learning classifiers (logistic regression, random forest, and XG boost) were trained and compared in the setting of various combinations between four sequences. The highest diagnostic accuracies were achieved when using all sequences, and the difference was significant only when the combination did not include the ADC map. Using all sequences, logistic regression and the random forest classifier yielded higher accuracy compared with the that of the XG boost classifier, with mean area under curve (AUC) values of 0.77, 0.76, and 0.71, respectively. The machine-learning classifier of non-invasive and quantitative radiomics signature could guide the classification of the HPV status.
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Affiliation(s)
- Chong Hyun Suh
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Kyung Hwa Lee
- Department of Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.,Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Young Jun Choi
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea.
| | - Sae Rom Chung
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Jung Hwan Baek
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Jeong Hyun Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Jihye Yun
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Sungwon Ham
- Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Namkug Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea. .,Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea.
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18
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Onoue K, Fujima N, Andreu-Arasa VC, N Setty B, Qureshi MM, Sakai O. Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma: Comparative CT analysis for their differentiation. Eur J Radiol 2020; 132:109310. [PMID: 33096501 DOI: 10.1016/j.ejrad.2020.109310] [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] [Received: 06/22/2020] [Revised: 09/02/2020] [Accepted: 09/20/2020] [Indexed: 12/20/2022]
Abstract
PURPOSE Cervical lymph nodes with cystic changes are an important finding seen with several pathologies including papillary thyroid carcinoma (PTC), tuberculosis (TB) and HPV-positive oropharyngeal squamous cell carcinoma (HPV + OPSCC). In the absence of known primary tumor or conclusive medical history, differentiating among these nodes is difficult. We compared the pathologic nodes of PTC, TB and HPV + OPSCC to identify imaging features useful for their differentiation. MATERIALS AND METHODS Fifty-five PTC, 58 TB and 51 HPV + OPSCC nodes were selected based on surgical pathology records and suspicious morphological features. These nodes were compared for morphological features: long axis length, nodal shape, nodal location, presence of cystic change, area of cystic change:area of entire node ratio, Hounsfield unit of the cystic component, degree of enhancement, enhancement pattern, presence of calcification, presence of perinodal infiltration, and presence of surrounding inflammatory changes. RESULTS PTC nodes formed calcifications more frequently and demonstrated greater enhancement (P < 0.01). TB nodes were characterized by their irregular shape (P < 0.05), irregular enhancement surrounding the cystic change (P < 0.01), greater frequencies of perinodal infiltration (P < 0.01) and surrounding inflammatory changes (P < 0.01). While no unique features were seen with HPV+OPSCC, they were characterized by the absence of those features that distinguished the other groups: these nodes tended to have smooth, circumscribed margins with no hyperenhancement, calcifications or inflammatory changes. PTC and TB nodes were more frequently identified in the lower neck, while HPV+OPSCC nodes were localized to the upper neck (P < 0.01). CONCLUSIONS PTC, TB and HPV + OPSCC lymph nodes can be differentiated based on their morphologies and locations.
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Affiliation(s)
- Keita Onoue
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, One Boston Medical Center Place, Boston, MA, 02118, United States
| | - Noriyuki Fujima
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, One Boston Medical Center Place, Boston, MA, 02118, United States; Research Center for Cooperative Projects, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan
| | - V Carlota Andreu-Arasa
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, One Boston Medical Center Place, Boston, MA, 02118, United States
| | - Bindu N Setty
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, One Boston Medical Center Place, Boston, MA, 02118, United States
| | - Muhammad Mustafa Qureshi
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, One Boston Medical Center Place, Boston, MA, 02118, United States; Department of Radiation Oncology, Boston Medical Center, Boston University School of Medicine, One Boston Medical Center Place, Boston, MA, 02118, United States
| | - Osamu Sakai
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, One Boston Medical Center Place, Boston, MA, 02118, United States; Department of Otolaryngology-Head and Neck Surgery, Boston Medical Center, Boston University School of Medicine, One Boston Medical Center Place, Boston, MA, 02118, United States; Department of Radiation Oncology, Boston Medical Center, Boston University School of Medicine, One Boston Medical Center Place, Boston, MA, 02118, United States.
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19
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The diagnostic performance of CT and MRI for detecting extranodal extension in patients with head and neck squamous cell carcinoma: a systematic review and diagnostic meta-analysis. Eur Radiol 2020; 31:2048-2061. [PMID: 32949282 DOI: 10.1007/s00330-020-07281-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 07/15/2020] [Accepted: 09/10/2020] [Indexed: 02/01/2023]
Abstract
OBJECTIVE To review the diagnostic performance of CT and MRI for detecting extranodal extension (ENE) in head and neck squamous cell carcinoma (HNSCC) patients. METHODS MEDLINE and EMBASE databases were searched up to October 7, 2019. Studies that evaluated the diagnostic performance of CT and/or MRI for detecting ENE in HNSCC patients were included. A 2 × 2 table was reconstructed for each study. Pooled sensitivity and specificity were calculated using the bivariate model and hierarchical summary receiver operating characteristic (HSROC) model. Subgroup analyses were performed according to HPV status and radiological features. Pooled correlation coefficient for interobserver agreement was calculated. RESULTS Twenty-two studies including 2478 patients were included. The pooled sensitivity and specificity for detecting ENE were 73% (95% CI, 62-82%) and 83% (95% CI, 75-89%), respectively, for CT, and 60% (95% CI, 49-70%) and 96% (95% CI, 85-99%), respectively, for MRI. There was substantial heterogeneity for both CT and MRI. A threshold effect was present for MRI. On subgroup analysis, the pooled specificity of CT was significantly lower in patients with HPV+ OPSCC than in patients with HPV‑ oral cavity cancer or all HNSCC (74% vs. 87%; p = 0.01). Central node necrosis showed significantly higher pooled sensitivity (81% vs. 51%; p = 0.02), while infiltration of adjacent planes showed significantly higher pooled specificity (94% vs. 65%; p = 0.03). The pooled correlation coefficient was 0.72 (95% CI, 0.60-0.81). CONCLUSION Both CT and MRI show reasonable diagnostic performance for detecting ENE in HNSCC patients and interobserver agreement was substantial. KEY POINTS • Pooled sensitivity and specificity were 73% and 83% for CT and 60% and 96% for MRI without significant difference. • Pooled specificity was lower for HPV+ OPSCC than for HPV‑ oral cavity cancer or all HNSCC (74% vs. 87%, p = 0.01), likely due to central node necrosis. • Central node necrosis showed higher sensitivity (81% vs. 51%; p = 0.02), while infiltration of adjacent planes showed higher specificity (94% vs. 65%; p = 0.03).
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20
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Lee B, Choi YJ, Kim SO, Lee YS, Hong JY, Baek JH, Lee JH. Prognostic Value of Radiologic Extranodal Extension in Human Papillomavirus-Related Oropharyngeal Squamous Cell Carcinoma. Korean J Radiol 2020; 20:1266-1274. [PMID: 31339014 PMCID: PMC6658881 DOI: 10.3348/kjr.2018.0742] [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: 10/23/2018] [Accepted: 05/02/2019] [Indexed: 01/06/2023] Open
Abstract
Objective To determine whether radiologic extranodal extension (ENE) appearing on pretreatment CT and MRI could predict the prognosis in patients with human papillomavirus (HPV)-related oropharyngeal squamous cell carcinoma (OPSCC). Materials and Methods The study population was obtained from a historical cohort diagnosed with HPV-related OPSCC. A total of 134 OPSCC patients who had a metastatic lymph node on pretreatment CT or MRI were included, and radiologic ENE was evaluated by two experienced head and neck radiologists. Kaplan-Meier and multivariate Cox regression analyses were performed to evaluate the impact of radiologic ENE on progression-free survival (PFS). The diagnostic performance of CT and MRI for the diagnosis of ENE was also evaluated in patients who underwent neck dissection. Results Seventy patients (52.2%) showed radiologic ENE-positive findings. Although patients showing radiologic ENE had a worse 3-year PFS (83.7% vs. 95.3%, p = 0.023), the association between radiologic ENE and PFS was not statistically significant on multivariate analysis (p = 0.141; hazard ratio, 2.68; 95% confidence interval, 0.72–9.97). CT or MRI had a sensitivity of 62%, specificity of 77.8%, and accuracy of 71.9% for predicting pathologic ENE. Conclusion Radiologic ENE on CT or MRI did not predict poor PFS in patients with HPV-related OPSCC, although there was a trend towards worse PFS. Further studies are warranted to determine whether radiologic ENE is a useful imaging biomarker to risk-stratify patients with HPV-related OPSCC.
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Affiliation(s)
- Boeun Lee
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.,Department of Radiology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea
| | - Young Jun Choi
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
| | - Seon Ok Kim
- Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Yoon Se Lee
- Department of Otolaryngology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jung Yong Hong
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jung Hwan Baek
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jeong Hyun Lee
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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21
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Garda AE, Sheedy SP, Haddock MG, Hallemeier CL. Cystic Lymph Node Metastases From HPV-Associated Squamous Cell Carcinoma of the Anal Canal. Pract Radiat Oncol 2019; 10:e111-e115. [PMID: 31866578 DOI: 10.1016/j.prro.2019.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 11/20/2019] [Accepted: 12/11/2019] [Indexed: 11/27/2022]
Affiliation(s)
- Allison E Garda
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota
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22
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Payabvash S, Chan A, Jabehdar Maralani P, Malhotra A. Quantitative diffusion magnetic resonance imaging for prediction of human papillomavirus status in head and neck squamous-cell carcinoma: A systematic review and meta-analysis. Neuroradiol J 2019; 32:232-240. [PMID: 31084347 DOI: 10.1177/1971400919849808] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
PURPOSE Head and neck squamous-cell carcinoma (HNSCC) related to human papillomavirus (HPV) infection represents a distinct biological and prognostic subtype compared to the HPV-negative form. Prior studies suggest a correlation between the apparent diffusion coefficient (ADC) values on diffusion-weighted imaging (DWI) of primary tumor lesion and HPV status in HNSCC. In this meta-analysis, we compared the average ADC of primary lesion between HPV-positive and HPV-negative HNSCC. METHODS A comprehensive literature search of PubMed and Embase was performed. Studies comparing the average ADC on echo-planar DWI of primary tumor lesions between HPV-positive and HPV-negative HNSCC were included. The standardized mean difference was calculated using fixed- and random-effects models. Tau-squared estimates of total heterogeneity and Higgins inconsistency index (I2 test) were determined. RESULTS A total of five studies, pooling data of 264 patients, were included for meta-analysis. Among these five studies, three had included oral cavity, hypopharyngeal, and/or laryngeal HNSCC in addition to oropharyngeal subsite. Primary lesions were comprised of 185 HPV-negative and 79 HPV-positive HNSCC. The meta-analysis showed lower average ADC values in HPV-positive HNSCC compared to the HPV-negative form, with a standardized mean difference of 0.961 (95% confidence interval 0.644-1.279; p < 0.0001). Since there was no significant heterogeneity in analysis (p = 0.3852), both random- and fixed-effects models resulted in the same estimates of overall effect. CONCLUSIONS HPV-positive HNSCC primary lesions have a lower average ADC compared to the HPV-negative form, highlighting the potential application of quantitative diffusion magnetic resonance imaging as a noninvasive imaging biomarker for prediction of HPV status.
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Affiliation(s)
| | - Aimee Chan
- 2 Department of Medical Imaging, University of Toronto, Canada
| | | | - Ajay Malhotra
- 1 Department of Radiology and Biomedical Imaging, Yale School of Medicine, USA
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Noij DP, Martens RM, Koopman T, Hoekstra OS, Comans EFI, Zwezerijnen B, de Bree R, de Graaf P, Castelijns JA. Use of Diffusion-Weighted Imaging and 18F-Fluorodeoxyglucose Positron Emission Tomography Combined With Computed Tomography in the Response Assessment for (Chemo)radiotherapy in Head and Neck Squamous Cell Carcinoma. Clin Oncol (R Coll Radiol) 2018; 30:780-792. [PMID: 30318343 DOI: 10.1016/j.clon.2018.09.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2018] [Revised: 07/12/2018] [Accepted: 08/20/2018] [Indexed: 11/12/2022]
Abstract
AIMS Our purpose was to assess the diagnostic accuracy and prognostic value of diffusion-weighted imaging (DWI) and 18F-fluorodeoxyglucose positron emission tomography combined with computed tomography (18F-FDG-PET/CT) carried out 3-6 months after (chemo)radiotherapy in head and neck squamous cell carcinoma. MATERIALS AND METHODS For this retrospective cohort study we included 82 patients with advanced-stage head and neck squamous cell carcinoma treated between 2012 and 2015. Primary tumours and lymph nodes were assessed separately. DWI was analysed qualitatively and quantitatively. 18F-FDG-PET/CT was evaluated using the Hopkins criteria. Dichotomous qualitative analysis was carried out for both modalities. Cox regression analysis was used for univariate analysis of recurrence-free survival (RFS). Significant univariate parameters were included in multivariate analysis. RESULTS In 12 patients, locoregional recurrence occurred. With all imaging strategies, either single-modality or multi-modality, a high negative predictive value (NPV) was achieved (94.3-100%). In response evaluation of the primary site, the preferred strategy is 18F-FDG-PET/CT only, which resulted in a sensitivity of 85.7%, specificity of 86.5%, positive predictive value (PPV) of 37.5% and NPV of 98.5%. For response evaluation of the neck, the best results were obtained with a sequential approach only including the second modality in positive reads of the first modality. It did not matter which modality was assessed first. This strategy for lymph node assessment resulted in a sensitivity, specificity, PPV and NPV of 83.3%, 95.6%, 62.5%, and 98.5%, respectively. After correction for received treatment and human papillomavirus status, primary tumour (P = 0.009) or lymph node (P < 0.001) Hopkins score ≥4 on 18F-FDG-PET/CT remained significant predictors of RFS. CONCLUSION For response evaluation of the primary tumour 18F-FDG-PET/CT only is the preferred strategy, whereas for the neck a sequential approach including both DWI and 18F-FDG-PET/CT resulted in the best diagnostic accuracy for follow-up after (chemo)radiotherapy. Qualitative analysis of 18F-FDG-PET/CT is a stronger predictor of RFS than DWI analysis.
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Affiliation(s)
- D P Noij
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands.
| | - R M Martens
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - T Koopman
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - O S Hoekstra
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - E F I Comans
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - B Zwezerijnen
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - R de Bree
- Department of Otolaryngology-Head and Neck Surgery, VU University Medical Center, Amsterdam, the Netherlands; Department of Head and Neck Surgical Oncology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - P de Graaf
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - J A Castelijns
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
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24
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Ravanelli M, Grammatica A, Tononcelli E, Morello R, Leali M, Battocchio S, Agazzi GM, Buglione di Monale E Bastia M, Maroldi R, Nicolai P, Farina D. Correlation between Human Papillomavirus Status and Quantitative MR Imaging Parameters including Diffusion-Weighted Imaging and Texture Features in Oropharyngeal Carcinoma. AJNR Am J Neuroradiol 2018; 39:1878-1883. [PMID: 30213805 DOI: 10.3174/ajnr.a5792] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 05/27/2018] [Indexed: 12/21/2022]
Abstract
BACKGROUND AND PURPOSE The incidence of Oropharyngeal Squampus Cell Carcinoma (OPSCC) cases is increasing especially in the Western countries due to the spreading of human papilloma virus (HPV) infection. Radiological investigations, MRI in particular, are used in the daily clinical practice to stage OPSCC. The aim of this study was to investigate the association of quantitative MR imaging features including diffusion-weighted imaging and human papillomavirus status in oropharyngeal squamous cell carcinoma. MATERIALS AND METHODS We retrospectively analyzed 59 patients with untreated histologically proved T2-T4 oropharyngeal squamous cell carcinoma. Human papillomavirus status was determined by viral DNA detection on tissue samples. MR imaging protocol included T2-weighted, contrast-enhanced T1-weighted (volumetric interpolated brain examination), and DWI sequences. Parametric maps of apparent diffusion coefficient were obtained from DWI sequences. Texture analysis was performed on T2 and volumetric-interpolated brain examination sequences and on ADC maps. Differences in quantitative MR imaging features between tumors positive and negative for human papillomavirus and among subgroups of patients stratified by smoking status were tested using the nonparametric Mann-Whitney U test; the false discovery rate was controlled using the Benjamini-Hochberg correction; and a predictive model for human papillomavirus status was built using multivariable logistic regression. RESULTS Twenty-eight patients had human papillomavirus-positive oropharyngeal squamous cell carcinoma, while 31 patients had human papillomavirus-negative oropharyngeal squamous cell carcinoma. Tumors positive for human papillomavirus had a significantly lower mean ADC compared with those negative for it (median, 850.87 versus median, 1033.68; P < .001). Texture features had a lower discriminatory power for human papillomavirus status. Skewness on volumetric interpolated brain examination sequences was significantly higher in the subgroup of patients positive for human papillomavirus and smokers (P = .003). A predictive model based on smoking status and mean ADC yielded a sensitivity of 83.3% and specificity 92.6% in classifying human papillomavirus status. CONCLUSIONS ADC is significantly lower in oropharyngeal squamous cell carcinoma positive for human papillomavirus compared with oropharyngeal squamous cell carcinoma negative for it. ADC and smoking status allowed noninvasive prediction of human papillomavirus status with a good accuracy. These results should be validated and further investigated on larger prospective studies.
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Affiliation(s)
- M Ravanelli
- From the Departments of Radiology (M.R., E.T., M.L., G.M.A., R.M., D.F.)
| | - A Grammatica
- Otolaryngology-Head and Neck Surgery (A.G., R.M., P.N.)
| | - E Tononcelli
- From the Departments of Radiology (M.R., E.T., M.L., G.M.A., R.M., D.F.)
| | - R Morello
- From the Departments of Radiology (M.R., E.T., M.L., G.M.A., R.M., D.F.).,Otolaryngology-Head and Neck Surgery (A.G., R.M., P.N.)
| | - M Leali
- From the Departments of Radiology (M.R., E.T., M.L., G.M.A., R.M., D.F.)
| | | | - G M Agazzi
- From the Departments of Radiology (M.R., E.T., M.L., G.M.A., R.M., D.F.)
| | | | - R Maroldi
- From the Departments of Radiology (M.R., E.T., M.L., G.M.A., R.M., D.F.)
| | - P Nicolai
- Otolaryngology-Head and Neck Surgery (A.G., R.M., P.N.)
| | - D Farina
- From the Departments of Radiology (M.R., E.T., M.L., G.M.A., R.M., D.F.)
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25
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Wittekindt C, Wagner S, Sharma SJ, Würdemann N, Knuth J, Reder H, Klußmann JP. [HPV - A different view on Head and Neck Cancer]. Laryngorhinootologie 2018; 97:S48-S113. [PMID: 29905354 PMCID: PMC6540966 DOI: 10.1055/s-0043-121596] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Head and neck cancer is the sixth most common cancer with over 500000 annually reported incident cases worldwide. Besides major risk factors tobacco and alcohol, oropharyngeal squamous cell carcinomas (OSCC) show increased association with human papillomavirus (HPV). HPV-associated and HPV-negative OSCC are 2 different entities regarding biological characteristics, therapeutic response, and patient prognosis. In HPV OSCC, viral oncoprotein activity, as well as genetic (mutations and chromosomal aberrations) and epigenetic alterations plays a key role during carcinogenesis. Based on improved treatment response, the introduction of therapy de-intensification and targeted therapy is discussed for patients with HPV OSCC. A promising targeted therapy concept is immunotherapy. The use of checkpoint inhibitors (e.g. anti-PD1) is currently investigated. By means of liquid biopsies, biomarkers such as viral DNA or tumor mutations in the will soon be available for disease monitoring, as well as detection of treatment failure. By now, primary prophylaxis of HPV OSCC can be achieved by vaccination of girls and boys.
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Affiliation(s)
- Claus Wittekindt
- Klinik für HNO-Heilkunde, Kopf-/Halschirurgie, Plastische Operationen, Universitätsklinikum Gießen und Marburg GmbH, Standort Gießen
| | - Steffen Wagner
- Klinik für HNO-Heilkunde, Kopf-/Halschirurgie, Plastische Operationen, Universitätsklinikum Gießen und Marburg GmbH, Standort Gießen
| | - Shachi Jenny Sharma
- Klinik für HNO-Heilkunde, Kopf-/Halschirurgie, Plastische Operationen, Universitätsklinikum Gießen und Marburg GmbH, Standort Gießen
| | - Nora Würdemann
- Klinik für HNO-Heilkunde, Kopf-/Halschirurgie, Plastische Operationen, Universitätsklinikum Gießen und Marburg GmbH, Standort Gießen
| | - Jennifer Knuth
- Klinik für HNO-Heilkunde, Kopf-/Halschirurgie, Plastische Operationen, Universitätsklinikum Gießen und Marburg GmbH, Standort Gießen
| | - Henrike Reder
- Klinik für HNO-Heilkunde, Kopf-/Halschirurgie, Plastische Operationen, Universitätsklinikum Gießen und Marburg GmbH, Standort Gießen
| | - Jens Peter Klußmann
- Klinik für HNO-Heilkunde, Kopf-/Halschirurgie, Plastische Operationen, Universitätsklinikum Gießen und Marburg GmbH, Standort Gießen
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