Otolaryngology Commons^™

Computed Tomography Radiomics-Based Cross-Sectional Detection Of Mandibular Osteoradionecrosis In Head And Neck Cancer Survivors, Serageldin Kamel, Laia Humbert-Vidan, Zaphanlene Kaffey, Sarah Mirbahaeddin, Abdulrahman Abusaif, David T A Fuentes, Kareem Wahid, Cem Dede, Mohamed A Naser, Renjie He, Ahmed W Moawad, Khaled M Elsayes, Melissa M Chen, Adegbenga O Otun, Jillian Rigert, Mark S Chambers, Andrew Hope, Erin Watson, Kristy K Brock, Katherine Hutcheson, Lisanne Van Dijk, Amy C Moreno, Stephen Y Lai, Clifton D Fuller, Abdallah S R Mohamed, Md Anderson Head And Neck Cancer Symptom Working Group

Faculty, Staff and Student Publications

Purpose: This study aims to identify radiomic features from contrast-enhanced CT (CECT) scans that differentiate osteoradionecrosis (ORN) from normal mandibular bone in head and neck cancer (HNC) patients treated with radiotherapy (RT).

Materials and methods: CECT images from 150 patients with confirmed ORN diagnosis (2008-2018) at MD Anderson Cancer Center (MDACC) were analyzed (80 % train, 20 % test). Radiomic features were extracted using PyRadiomics from manually segmented ORN regions and automated contralateral healthy mandible regions. Correlation analysis (r > 0.95) reduced features for model training. A random Forest (RF) classifier with Recursive Feature Elimination identified discriminative features. Explainability was assessed …

Image-Based Mandibular And Maxillary Parcellation And Annotation Using Computed Tomography (Impact): A Deep Learning-Based Clinical Tool For Orodental Dose Estimation And Osteoradionecrosis Assessment, Laia Humbert-Vidan, Austin H Castelo, Renjie He, Lisanne V Van Dijk, Dong Joo Rhee, Congjun Wang, He C Wang, Kareem A Wahid, Sonali Joshi, Parshan Gerafian, Natalie West, Zaphanlene Kaffey, Sarah Mirbahaeddin, Jaqueline Curiel, Samrina Acharya, Amal Shekha, Praise Oderinde, Alaa M S Ali, Andrew Hope, Erin Watson, Ruth Wesson-Aponte, Steven J Frank, Carly E A Barbon, Kristy K Brock, Mark S Chambers, Muhammad Walji, Katherine A Hutcheson, Stephen Y Lai, Clifton D Fuller, Mohamed A Naser, Amy C Moreno, Opc-Survivor Program, Md Anderson Head And Neck Cancer Symptom Working Group

Faculty, Staff and Student Publications

Background and purpose: Accurate delineation of orodental structures on radiotherapy computed tomography (CT) images is essential for dosimetric assessment and dental decisions. We propose a deep-learning (DL) auto-segmentation framework for individual teeth and mandible/maxilla sub-volumes aligned with the ClinRad osteoradionecrosis staging system.

Materials and methods: Mandible and maxilla sub-volumes were manually defined on simulation CT images from 60 clinical cases, differentiating alveolar from basal regions; teeth were labelled individually. For each task, a DL segmentation model was independently trained. A Swin UNETR-based model was used for mandible sub-volumes. For smaller structures (e.g., teeth and maxilla sub-volumes) a two-stage model first …

Tobacco Smoke Exposure Is A Driver Of Altered Oxidative Stress Response And Immunity In Head And Neck Cancer, Yang Li, Pedram Yadollahi, Fonma N Essien, Vasanta Putluri, Chandra Shekar R Ambati, Karthik Reddy Kami Reddy, Abu Hena Mostafa Kamal, Nagireddy Putluri, Lama M Abdurrahman, Maria E Ruiz Echartea, Keenan J Ernste, Akshar J Trivedi, Jonathan Vazquez-Perez, William H Hudson, William K Decker, Rutulkumar Patel, Abdullah A Osman, Farrah Kheradmand, Stephen Y Lai, Jeffrey N Myers, Heath D Skinner, Cristian Coarfa, Kwangwon Lee, Antrix Jain, Anna Malovannaya, Mitchell J Frederick, Vlad C Sandulache

Faculty, Staff and Student Publications

Background: Exposomes are critical drivers of carcinogenesis. However, how they modulate tumor behavior remains unclear. Extensive clinical data show cigarette smoke to be a key exposome that promotes aggressive tumors, higher rates of metastasis, reduced response to chemoradiotherapy, and suppressed anti-tumor immunity. We sought to determine whether smoke itself can modulate aggressive tumor behavior in head and neck squamous cell carcinoma (HNSCC) through reprogramming of the cellular reductive state.

Methods: Using established human and murine HNSCC cell lines and syngeneic mouse models, we utilized conventional western blotting, steady state and flux metabolomics, RNA sequencing, quantitative proteomics and flow cytometry to …

Evaluation Of A Comprehensive Set Of Normal Tissue Complication Probability Models For Patients With Head And Neck Cancer In An International Cohort, Suzanne P M De Vette, Maria I Van Rijn-Dekker, Lisa Van Den Bosch, Kylie Keijzer, Hendrike Neh, Hung Chu, Yan Li, Mark L Frederiks, Hans Paul Van Der Laan, Jolien Heukelom, Peter Van Luijk, Arjen Van Der Schaaf, Roel J H M Steenbakkers, Nanna M Sijtsema, Katherine A Hutcheson, Clifton D Fuller, Johannes A Langendijk, Amy C Moreno, Lisanne V Van Dijk

Faculty, Staff and Student Publications

Background/purpose: Normal tissue complication probability (NTCP) models can be used to guide radiation therapy (RT) decisions by estimating side-effect risks pretreatment to minimize (late) side-effects. Recently, a comprehensive individual toxicity risk (CITOR) profile of NTCP models addressing common side-effects in head and neck cancer (HNC) patients was developed. This study investigates the generalizability of these models in an international setting, with different treatment approaches and side-effect assessments, promoting their integration into more widespread clinical practice.

Materials/methods: From a prospective registry study, 407 HNC patients were included who were treated with definitive RT with or without systemic therapy between 2015 and …

Early Application Value Of Flexible Laryngoscope Swallowing Function Assessment In Patients After Partial Laryngectomy, Lina Jia, Chenxu Yan, Run Liu, Pengfei He, Ailing Liu, Fei Yang, Hui Huangfu, Sen Zhang

Faculty, Staff and Student Publications

To investigate the influence of early dysphagia on quality of life in patients with partial laryngectomy, and to investigate the application value of Flexible Endoscopic Evaluation of Swallowing (FEES). This study included 30 inpatients who underwent partial laryngectomy due to laryngeal cancer. In the early postoperative period, a comprehensive assessment was conducted on each patient, encompassing Videofluoroscopic Swallowing Study (VFSS), Flexible Endoscopic Evaluation of Swallowing (FEES), and MD Anderson Dysphagia Inventory (MDADI). Each patient underwent two evaluations at different time points following the surgical procedure, all conducted on the same day. The patients' first MDADI assement score after surgery was …

Single-Cell Analysis Of Neoplastic Plasma Cells Identifies Myeloma Pathobiology Mediators And Potential Targets, Luz Yurany Moreno Rueda, Hua Wang, Keiko Akagi, Minghao Dang, Amishi Vora, Li Qin, Hans C Lee, Krina K Patel, Pei Lin, David E Mery, Fenghuang Zhan, John D Shaughnessy, Qing Yi, Yang Song, Bo Jiang, Maura L Gillison, Sheeba K Thomas, Donna M Weber, Lixia Diao, Jing Wang, Isere Kuiatse, Elisabet E Manasanch, David E Symer, Robert Z Orlowski

Faculty, Staff and Student Publications

Multiple myeloma is a clonal plasma cell (PC) dyscrasia that arises from precursors and has been studied utilizing approaches focused on CD138+ cells. By combining single-cell RNA sequencing (scRNA-seq) with scB-cell receptor sequencing (scBCR-seq), we differentiate monoclonal/neoplastic from polyclonal/normal PCs and find more dysregulated genes, especially in precursor patients, than we would have by analyzing bulk PCs. To determine whether this approach can identify oncogenes that contribute to disease pathobiology, mitotic arrest deficient-2 like-1 (MAD2L1) and S-adenosylmethionine synthase isoform type-2 (MAT2A) are validated as targets with drug-like molecules that suppress myeloma growth in preclinical models. Moreover, functional studies show a …

Targeted Inhibition Of Aurora Kinase A Promotes Immune Checkpoint Inhibition Efficacy In Human Papillomavirus-Driven Cancers, Soma Ghosh, Madison P O'Hara, Pragya Sinha, Tuhina Mazumdar, Lacin Yapindi, Jagannadha K Sastry, Faye M Johnson

Faculty, Staff and Student Publications

Background: Human papillomavirus (HPV)-driven cancers include head and neck squamous cell carcinoma and cervical cancer and represent approximately 5% of all cancer cases worldwide. Standard-of-care chemotherapy, radiotherapy, and immune checkpoint inhibitors (ICIs) are associated with adverse effects and limited responses in patients with HPV-driven cancers. The integration of targeted therapies with ICIs may improve outcomes. In a previous study, we demonstrated that Aurora kinase A (AURKA, Aurora A) inhibitors lead to apoptosis of human HPV-positive cancer cells in vitro and in vivo. Here, we explored the potential of Aurora A inhibition to enhance response to ICIs in immune-competent …

Predicting Sinonasal Inverted Papilloma Attachment Using Machine Learning: Current Lessons And Future Directions, Sean P Mckee, Xiaomin Liang, William C Yao, Brady Anderson, Jumah G Ahmad, David Z Allen, Salman Hasan, Andy J Chua, Chinmay Mokashi, Samia Islam, Amber U Luong, Martin J Citardi, Luca Giancardo

Faculty, Staff and Student Publications

Background: Hyperostosis is a common radiographic feature of inverted papilloma (IP) tumor origin on computed tomography (CT). Herein, we developed a machine learning (ML) model capable of analyzing CT images and identifying IP attachment sites.

Methods: A retrospective review of patients treated for IP at our institution was performed. The tumor attachment site was manually segmented on CT scans by the operating surgeon. We used a nnU-Net model, a state-of-the-art deep learning-based segmentation algorithm that automatically configures image preprocessing, network architecture, training, and post-processing to identify the IP attachment site. The model was trained and evaluated using a 5-fold cross …

Head And Neck Gross Tumor Volume Automatic Segmentation Using Pocketnet, Awj Twam, Adrian Celaya, Evan Lim, Khaled Elsayes, David Fuentes, Tucker Netherton

Faculty, Staff and Student Publications

Head and neck cancer (HNC) represents a significant global health burden, often requiring complex treatment strategies, including surgery, chemotherapy, and radiation therapy. Accurate delineation of tumor volumes is critical for effective treatment, particularly in MR-guided interventions, where soft tissue contrast enhances visualization of tumor boundaries. Manual segmentation of gross tumor volumes (GTV) is labor intensive, time-consuming and prone to variability, motivating the development of automated segmentation techniques. Convolutional neural networks (CNNs) have emerged as powerful tools in this task, offering significant improvements in speed and consistency. In this study, we participated as Team Pocket in Task 1 of the HNTS-MRG …

Oncologic Outcomes In Patients With Localized, Primary Head And Neck Synovial Sarcoma, Riddhi R Patel, Vancheswaran Gopalakrishnan, Behrang Amini, Alexander J Lazar, Patrick P Lin, Robert S Benjamin, Andrew J Bishop, Ryan P Goepfert, Dejka M Araujo

Faculty, Staff and Student Publications

Background: this study aims to evaluate the survival outcomes of patients suffering from head and neck synovial sarcoma (HNSS), especially in relation to patients with a localized disease at diagnosis.

Methods: this retrospective chart review includes 57 patients diagnosed with primary HNSS between 1981 and 2020 who presented with a localized disease at diagnosis. Overall survival (OS) from diagnosis, local recurrence-free survival (LRFS), and metastasis-free survival (MFS) from the end of the primary tumor treatment are estimated. The Kaplan-Meier method, the log-rank test, and the Cox proportional hazards regression are used.

Results: the 5-year OS, LRFS, and MFS are estimated …

Tumor-Infiltrating Nerves Functionally Alter Brain Circuits And Modulate Behavior In A Mouse Model Of Head-And-Neck Cancer, Jeffrey Barr, Austin Walz, Anthony C Restaino, Moran Amit, Sarah M Barclay, Elisabeth G Vichaya, William C Spanos, Robert Dantzer, Sebastien Talbot, Paola D Vermeer

Faculty, Staff and Student Publications

Cancer patients often experience changes in mental health, prompting an exploration into whether nerves infiltrating tumors contribute to these alterations by impacting brain functions. Using a mouse model for head and neck cancer and neuronal tracing, we show that tumor-infiltrating nerves connect to distinct brain areas. The activation of this neuronal circuitry altered behaviors (decreased nest-building, increased latency to eat a cookie, and reduced wheel running). Tumor-infiltrating nociceptor neurons exhibited heightened calcium activity and brain regions receiving these neural projections showed elevated Fos as well as increased calcium responses compared to non-tumor-bearing counterparts. The genetic elimination of nociceptor neurons decreased …

Cochlear Implantation After Head And Neck Radiation: A Case Series, Systematic Review, And Meta-Analysis, Jumah G Ahmad, Benjamin D Lovin, Anna Lee, Marc-Elie Nader, Paul W Gidley

Faculty, Staff and Student Publications

Objective: To determine if cochlear implant (CI) is safe and effective in patients with radiation therapy (XRT)-induced sensorineural hearing loss and to discuss considerations in this population through a retrospective cohort review, systematic review, and meta-analysis.

Databases reviewed: PubMed, Cochrane Library, and Embase.

Methods: We retrospectively reviewed all CI cases after head and neck (HN) XRT at our institution, noting intraoperative findings, postoperative complications, and hearing outcomes. Change in speech discrimination scores (SDSs) was the primary outcome measure. Systematic review was performed to identify all cases of CI after HNXRT. A meta-analysis was performed to assess SDS change.

Results: The …

Tongue Electrical Impedance Myography Correlates With Functional, Neurophysiologic, And Clinical Outcome Measures In Long-Term Oropharyngeal Cancer Survivors With And Without Hypoglossal Neuropathy: An Exploratory Study, Nathan J Hansen, Karin Woodman, Sheila Buoy, Shitong Mao, Carly E A Barbon, Stephen Y Lai, C David Fuller, Katherine A Hutcheson, Benjamin Sanchez

Faculty, Staff and Student Publications

Background: This pilot study analyzed correlations between tongue electrical impedance myography (EIM), standard tongue electromyography (EMG), and tongue functional measures in N = 4 long-term oropharyngeal cancer (OPC) survivors.

Methods: Patients were screened for a supportive care trial (NCT04151082). Hypoglossal nerve function was evaluated with genioglossus needle EMG, functional measures with the Iowa oral performance instrument (IOPI), and multi-frequency tissue composition with tongue EIM.

Results: Tongue EIM conductivity was higher for patients with EMG-confirmed cranial nerve XII neuropathy than those without (p = 0.005) and in patients with mild versus normal EMG reinnervation ratings (16 kHz EIM: p …

Innovations In Molecular Biomarkers And Biomaterial-Based Immunotherapies For Head & Neck Cancer, Sarah Anne Wong, Victoria A Manon, Simon Young, Chi T Viet

Faculty, Staff and Student Publications

Purpose of review: Oral squamous cell carcinoma (OSCC) survival rates have remained stagnant due to a lack of targeted therapies and diagnostic tools. Patient risk is currently determined solely through clinicopathologic features, primarily tumor staging, which lacks the necessary precision to stratify patients by risk and accurately dictate adjuvant treatment. Similarly, conventional OSCC therapies have well-established toxicities and limited efficacy.

Recent findings: Recent studies show that patient risk can now be assessed using non-invasive techniques, at earlier time points, and with greater accuracy using molecular biomarker panels. Additionally, novel immunotherapies not only utilize the host's immune response to combat disease …

Influence Of Oral Microbiome On Longitudinal Patterns Of Oral Mucositis Severity In Patients With Squamous Cell Carcinoma Of The Head And Neck, Liangliang Zhang, Erin Marie D San Valentin, Teny M John, Robert R Jenq, Kim-Anh Do, Ehab Y Hanna, Christine B Peterson, Cielito C Reyes-Gibby

Faculty, Staff and Student Publications

Background: This study investigated the influence of oral microbial features on the trajectory of oral mucositis (OM) in patients with squamous cell carcinoma of the head and neck.

Methods: OM severity was assessed and buccal swabs were collected at baseline, at the initiation of cancer treatment, weekly during cancer treatment, at the termination of cancer treatment, and after cancer treatment termination. The oral microbiome was characterized via the 16S ribosomal RNA V4 region with the Illumina platform. Latent class mixed-model analysis was used to group individuals with similar trajectories of OM severity. Locally estimated scatterplot smoothing was used to fit …

Circulating Short Chain Fatty Acids And Fatigue In Patients With Head And Neck Cancer: A Longitudinal Prospective Study, Canhua Xiao, Veronika Fedirko, Henry Claussen, H Richard Johnston, Gang Peng, Sudeshna Paul, Kristal M Maner-Smith, Kristin A Higgins, Dong M Shin, Nabil F Saba, Evanthia C Wommack, Deborah W Bruner, Andrew H Miller

Faculty, Staff and Student Publications

Fatigue among patients with head and neck cancer (HNC) has been associated with higher inflammation. Short-chain fatty acids (SCFAs) have been shown to have anti-inflammatory and immunoregulatory effects. Therefore, this study aimed to examine the association between SCFAs and fatigue among patients with HNC undergoing treatment with radiotherapy with or without concurrent chemotherapy. Plasma SCFAs and the Multidimensional Fatigue Inventory-20 were collected prior to and one month after the completion of treatment in 59 HNC patients. The genome-wide gene expression profile was obtained from blood leukocytes prior to treatment. Lower butyrate concentrations were significantly associated with higher fatigue (p = …

Outcomes Of Treatment With Neoadjuvant Cemiplimab For Patients With Advanced, Resectable Cutaneous Squamous Cell Carcinoma Of The Head And Neck: Secondary Analysis Of A Phase 2 Clinical Trial, Renata Ferrarotto, Priyadharsini Nagarajan, Jacob M Maronge, Jason M Johnson, David I Rosenthal, Jeffrey N Myers, Neil D Gross

Faculty, Staff and Student Publications

This secondary analysis of a phase 2 clinical trial examines long-term survival for resectable cutaneous squamous cell carcinoma of the head and neck according to pathologic response.

Hypothyroidism Following Radiotherapy For Head And Neck Cancer: A Systematic Review Of The Literature And Opportunities To Improve The Therapeutic Ratio, Michael K Rooney, Lauren M Andring, Kelsey L Corrigan, Vincent Bernard, Tyler D Williamson, Clifton D Fuller, Adam S Garden, Brandon Gunn, Anna Lee, Amy C Moreno, William H Morrison, Jack Phan, David I Rosenthal, Michael Spiotto, Steven J Frank

Faculty, Staff and Student Publications

(1) Background: Radiotherapy (RT) is a central component for the treatment of many head and neck cancers. In this systematic review of the literature, we aimed to characterize and quantify the published evidence on RT-related hypothyroidism, including estimated incidence, clinical risk factors, and dosimetric parameters that may be used to guide clinical decision making. Furthermore, we aimed to identify potential areas of improvement in the prevention and clinical management of RT-induced hypothyroidism, including the role of modern advanced therapeutic techniques. (2) Methods: We conducted a systemic review of the literature in accordance with Preferred Reporting Items for Systematic Reviews and …

Development And Validation Of An Automated Image-Based Deep Learning Platform For Sarcopenia Assessment In Head And Neck Cancer, Zezhong Ye, Anurag Saraf, Yashwanth Ravipati, Frank Hoebers, Paul J Catalano, Yining Zha, Anna Zapaishchykova, Jirapat Likitlersuang, Christian Guthier, Roy B Tishler, Jonathan D Schoenfeld, Danielle N Margalit, Robert I Haddad, Raymond H Mak, Mohamed Naser, Kareem A Wahid, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Antti A Mäkitie, Clifton D Fuller, Hugo J W L Aerts, Benjamin H Kann

Faculty, Staff and Student Publications

Importance: Sarcopenia is an established prognostic factor in patients with head and neck squamous cell carcinoma (HNSCC); the quantification of sarcopenia assessed by imaging is typically achieved through the skeletal muscle index (SMI), which can be derived from cervical skeletal muscle segmentation and cross-sectional area. However, manual muscle segmentation is labor intensive, prone to interobserver variability, and impractical for large-scale clinical use.

Objective: To develop and externally validate a fully automated image-based deep learning platform for cervical vertebral muscle segmentation and SMI calculation and evaluate associations with survival and treatment toxicity outcomes.

Design, setting, and participants: For this prognostic study, …

Diagnostic Challenges And Prognostic Implications Of Extranodal Extension In Head And Neck Cancer: A State Of The Art Review And Gap Analysis, Christina E Henson, Ahmad K Abou-Foul, Daniel J Morton, Lachlan Mcdowell, Sujith Baliga, James Bates, Anna Lee, Pierluigi Bonomo, Petr Szturz, Paul Nankivell, Shao Hui Huang, William M Lydiatt, Brian O'Sullivan, Hisham Mehanna

Faculty, Staff and Student Publications

Extranodal extension (ENE) is a pattern of cancer growth from within the lymph node (LN) outward into perinodal tissues, critically defined by disruption and penetration of the tumor through the entire thickness of the LN capsule. The presence of ENE is often associated with an aggressive cancer phenotype in various malignancies including head and neck squamous cell carcinoma (HNSCC). In HNSCC, ENE is associated with increased risk of distant metastasis and lower rates of locoregional control. ENE detected on histopathology (pathologic ENE; pENE) is now incorporated as a risk-stratification factor in human papillomavirus (HPV)-negative HNSCC in the eighth edition of …

Head And Neck Cancer Predictive Risk Estimator To Determine Control And Therapeutic Outcomes Of Radiotherapy (Hnc-Predictor): Development, International Multi-Institutional Validation, And Web Implementation Of Clinic-Ready Model-Based Risk Stratification For Head And Neck Cancer, Lisanne V Van Dijk, Abdallah Sr Mohamed, Sara Ahmed, Nafiul Nipu, G Elisabeta Marai, Kareem Wahid, Nanna M Sijtsema, Brandon Gunn, Adam S Garden, Amy Moreno, Andrew J Hope, Johannes A Langendijk, Clifton D Fuller

Faculty, Staff and Student Publications

Background: Personalised radiotherapy can improve treatment outcomes of patients with head and neck cancer (HNC), where currently a 'one-dose-fits-all' approach is the standard. The aim was to establish individualised outcome prediction based on multi-institutional international 'big-data' to facilitate risk-based stratification of patients with HNC.

Methods: The data of 4611 HNC radiotherapy patients from three academic cancer centres were split into four cohorts: a training (n = 2241), independent test (n = 786), and external validation cohorts 1 (n = 1087) and 2 (n = 497). Tumour- and patient-related clinical variables were considered in a machine learning pipeline to predict overall …

Multi-Organ Spatial Stratification Of 3-D Dose Distributions Improves Risk Prediction Of Long-Term Self-Reported Severe Symptoms In Oropharyngeal Cancer Patients Receiving Radiotherapy: Development Of A Pre-Treatment Decision Support Tool, Andrew Wentzel, Abdallah S R Mohamed, Mohamed A Naser, Lisanne V Van Dijk, Katherine Hutcheson, Amy M Moreno, Clifton D Fuller, Guadalupe Canahuate, G Elisabeta Marai

Faculty, Staff and Student Publications

Purpose: Identify Oropharyngeal cancer (OPC) patients at high-risk of developing long-term severe radiation-associated symptoms using dose volume histograms for organs-at-risk, via unsupervised clustering.

Material and methods: All patients were treated using radiation therapy for OPC. Dose-volume histograms of organs-at-risk were extracted from patients' treatment plans. Symptom ratings were collected via the MD Anderson Symptom Inventory (MDASI) given weekly during, and 6 months post-treatment. Drymouth, trouble swallowing, mucus, and vocal dysfunction were selected for analysis in this study. Patient stratifications were obtained by applying Bayesian Mixture Models with three components to patient's dose histograms for relevant organs. The clusters with the …

Overview Of The Hecktor Challenge At Miccai 2022: Automatic Head And Neck Tumor Segmentation And Outcome Prediction In Pet/Ct, Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joel Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D Fuller, Mario Jreige, Yornna Khamis, Agustina La Greca, Abdallah Mohamed, Mohamed Naser, John O Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge

Faculty, Staff and Student Publications

This paper presents an overview of the third edition of the HEad and neCK TumOR segmentation and outcome prediction (HECKTOR) challenge, organized as a satellite event of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022. The challenge comprises two tasks related to the automatic analysis of FDG-PET/CT images for patients with Head and Neck cancer (H&N), focusing on the oropharynx region. Task 1 is the fully automatic segmentation of H&N primary Gross Tumor Volume (GTVp) and metastatic lymph nodes (GTVn) from FDG-PET/CT images. Task 2 is the fully automatic prediction of Recurrence-Free Survival (RFS) …

Magnetic Resonance-Guided Radiation Therapy For Head And Neck Cancers, Danny Lavigne, Sweet Ping Ng, Brian O'Sullivan, Phuc Felix Nguyen-Tan, Edith Filion, Laurent Létourneau-Guillon, Clifton D Fuller, Houda Bahig

Faculty, Staff and Student Publications

Despite the significant evolution of radiation therapy (RT) techniques in recent years, many patients with head and neck cancer still experience significant toxicities during and after treatments. The increased soft tissue contrast and functional sequences of magnetic resonance imaging (MRI) are particularly attractive in head and neck cancer and have led to the increasing development of magnetic resonance-guided RT (MRgRT). This approach refers to the inclusion of the additional information acquired from a diagnostic or planning MRI in radiation treatment planning, and now extends to online high-quality daily imaging generated by the recently developed MR-Linac. MRgRT holds numerous potentials, including …

Swallowing After Primary Tors And Unilateral Or Bilateral Radiation For Low- To Intermediate-Risk Tonsil Cancer, Carly E A Barbon, Christopher M K Yao, Christine B Peterson, Amy C Moreno, Ryan P Goepfert, Faye M Johnson, Gregory M Chronowski, Clifton D Fuller, Neil D Gross, Katherine A Hutcheson

Faculty, Staff and Student Publications

Objective: The primary course of treatment for patients with low- to intermediate-risk tonsil cancer has evolved with a shift toward primary transoral robotic surgery (TORS) or radiation therapy (RT). While favorable outcomes have been reported after deintensification via unilateral TORS or RT (uniRT), comparisons of functional outcomes between these treatments are lacking. We compared clinical outcomes (Dynamic Imaging Grade of Swallowing Toxicity [DIGEST] and feeding tube [FT]) and patient-reported swallowing outcomes (MD Anderson Dysphagia Inventory [MDADI]) based on primary treatment strategy: TORS, uniRT, or bilateral RT (biRT).

Study design: Secondary analysis of prospective cohort.

Setting: Single institution.

Methods: The study …

Changes In Apparent Diffusion Coefficient (Adc) In Serial Weekly Mri During Radiotherapy In Patients With Head And Neck Cancer: Results From The Predict-Hn Study, Sweet Ping Ng, Carlos E Cardenas, Houda Bahig, Baher Elgohari, Jihong Wang, Jason M Johnson, Amy C Moreno, Shalin J Shah, Adam S Garden, Jack Phan, G Brandon Gunn, Steven J Frank, Yao Ding, Lumine Na, Ying Yuan, Diana Urbauer, Abdallah S R Mohamed, David I Rosenthal, William H Morrison, Michael P Macmanus, Clifton D Fuller

Faculty, Staff and Student Publications

Background: The PREDICT-HN study aimed to systematically assess the kinetics of imaging MR biomarkers during head and neck radiotherapy.

Methods: Patients with intact squamous cell carcinoma of the head and neck were enrolled. Pre-, during, and post-treatment MRI were obtained. Serial GTV and ADC measurements were recorded. The correlation between each feature and the GTV was calculated using Spearman’s correlation coefficient. The linear mixed model was used to evaluate the change in GTV over time.

Results: A total of 41 patients completed the study. The majority (76%) had oropharyngeal cancer. A total of 36 patients had intact primary tumours that …

Muscle And Adipose Tissue Segmentations At The Third Cervical Vertebral Level In Patients With Head And Neck Cancer, Kareem A Wahid, Brennan Olson, Rishab Jain, Aaron J Grossberg, Dina El-Habashy, Cem Dede, Vivian Salama, Moamen Abobakr, Abdallah S R Mohamed, Renjie He, Joel Jaskari, Jaakko Sahlsten, Kimmo Kaski, Clifton D Fuller, Mohamed A Naser

Faculty, Staff and Student Publications

The accurate determination of sarcopenia is critical for disease management in patients with head and neck cancer (HNC). Quantitative determination of sarcopenia is currently dependent on manually-generated segmentations of skeletal muscle derived from computed tomography (CT) cross-sectional imaging. This has prompted the increasing utilization of machine learning models for automated sarcopenia determination. However, extant datasets currently do not provide the necessary manually-generated skeletal muscle segmentations at the C3 vertebral level needed for building these models. In this data descriptor, a set of 394 HNC patients were selected from The Cancer Imaging Archive, and their skeletal muscle and adipose tissue was …

Advances In Head And Neck Cancer Pain, Y Ye, D D Jensen, C T Viet, H L Pan, W M Campana, M Amit, M D Boada

Faculty, Staff and Student Publications

Head and neck cancer (HNC) affects over 890,000 people annually worldwide and has a mortality rate of 50%. Aside from poor survival, HNC pain impairs eating, drinking, and talking in patients, severely reducing quality of life. Different pain phenotype in patients (allodynia, hyperalgesia, and spontaneous pain) results from a combination of anatomical, histopathological, and molecular differences between cancers. Poor pathologic features (e.g., perineural invasion, lymph node metastasis) are associated with increased pain. The use of syngeneic/immunocompetent animal models, as well as a new mouse model of perineural invasion, provides novel insights into the pathobiology of HNC pain. Glial and immune …

Success And Outcomes Following A Second Salvage Attempt For Free Flap Compromise In Patients Undergoing Head And Neck Reconstruction, Allison A Slijepcevic, Gavin Young, Justin Shinn, Steven B Cannady, Matthew Hanasono, Matthew Old, Jeewanjot S Grewal, Tamer Ghanem, Yadranko Ducic, Joseph M Curry, Mark K Wax

Faculty, Staff and Student Publications

Importance: Incidence of perioperative free flap compromise is low, with successful salvage in up to 70%. When the flap is compromised a second time, the value of intervening is unknown.

Objective: To assess the outcomes of a second revascularization attempt for compromised free flaps.

Design, setting, and participants: This multicenter retrospective medical record review included patients undergoing head and neck reconstruction with free flaps at 6 US medical centers from January 1, 2000, through December 30, 2020. Patients were 18 years or older with a history of head and neck defects from cancer, osteoradionecrosis, or other wounds. Of 3510 flaps …

Knowledge-Based Planning For The Radiation Therapy Treatment Plan Quality Assurance For Patients With Head And Neck Cancer, Wenhua Cao, Mary Gronberg, Adenike Olanrewaju, Thomas Whitaker, Karen Hoffman, Carlos Cardenas, Adam Garden, Heath Skinner, Beth Beadle, Laurence Court

Faculty, Staff and Student Publications

This study aimed to investigate the feasibility of using a knowledge-based planning technique to detect poor quality VMAT plans for patients with head and neck cancer. We created two dose-volume histogram (DVH) prediction models using a commercial knowledge-based planning system (RapidPlan, Varian Medical Systems, Palo Alto, CA) from plans generated by manual planning (MP) and automated planning (AP) approaches. DVHs were predicted for evaluation cohort 1 (EC1) of 25 patients and compared with achieved DVHs of MP and AP plans to evaluate prediction accuracy. Additionally, we predicted DVHs for evaluation cohort 2 (EC2) of 25 patients for which we intentionally …