Otorhinolaryngologic Diseases Commons^™

Comparison Of Vendor-Pretrained And Custom-Trained Deep Learning Segmentation Models For Head-And-Neck, Breast, And Prostate Cancers, Xinru Chen, Yao Zhao, Hana Baroudi, Mohammad D El Basha, Aji Daniel, Skylar S Gay, Cenji Yu, He Wang, Jack Phan, Seungtaek L Choi, Chelain R Goodman, Xiaodong Zhang, Joshua S Niedzielski, Sanjay S Shete, Laurence E Court, Zhongxing Liao, Fredrik Löfman, Peter A Balter, Jinzhong Yang

Faculty, Staff and Student Publications

Background/objectives: We assessed the influence of local patients and clinical characteristics on the performance of commercial deep learning (DL) segmentation models for head-and-neck (HN), breast, and prostate cancers.

Methods: Clinical computed tomography (CT) scans and clinically approved contours of 210 patients (53 HN, 49 left breast, 55 right breast, and 53 prostate cancer) were used to train and validate segmentation models integrated within a vendor-supplied DL training toolkit and to assess the performance of both vendor-pretrained and custom-trained models. Four custom models (HN, left breast, right breast, and prostate) were trained and validated with 30 (training)/5 (validation) HN, 34/5 left …

Analyzing The Relationship Between Dose And Geometric Agreement Metrics For Auto-Contouring In Head And Neck Normal Tissues, Barbara Marquez, Zachary T Wooten, Ramon M Salazar, Christine B Peterson, David T Fuentes, T J Whitaker, Anuja Jhingran, Julianne Pollard-Larkin, Surendra Prajapati, Beth Beadle, Carlos E Cardenas, Tucker J Netherton, Laurence E Court

Faculty, Staff and Student Publications

This study aimed to determine the relationship between geometric and dosimetric agreement metrics in head and neck (H&N) cancer radiotherapy plans. A total 287 plans were retrospectively analyzed, comparing auto-contoured and clinically used contours using a Dice similarity coefficient (DSC), surface DSC (sDSC), and Hausdorff distance (HD). Organs-at-risk (OARs) with ≥200 cGy dose differences from the clinical contour in terms of Dmax (D0.01cc) and Dmean were further examined against proximity to the planning target volume (PTV). A secondary set of 91 plans from multiple institutions validated these findings. For 4995 contour pairs across 19 OARs, 90% had a DSC, sDSC, …

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 …

Archery: A Prospective Observational Study Of Artificial Intelligence-Based Radiotherapy Treatment Planning For Cervical, Head And Neck And Prostate Cancer – Study Protocol, Ajay Aggarwal, Laurence Edward Court, Peter Hoskin, Isabella Jacques, Mariana Kroiss, Sarbani Laskar, Yolande Lievens, Indranil Mallick, Rozita Abdul Malik, Elizabeth Miles, Issa Mohamad, Claire Murphy, Matthew Nankivell, Jeannette Parkes, Mahesh Parmar, Carol Roach, Hannah Simonds, Julie Torode, Barbara Vanderstraeten, Ruth Langley

Faculty, Staff and Student Publications

INTRODUCTION: Fifty per cent of patients with cancer require radiotherapy during their disease course, however, only 10%-40% of patients in low-income and middle-income countries (LMICs) have access to it. A shortfall in specialised workforce has been identified as the most significant barrier to expanding radiotherapy capacity. Artificial intelligence (AI)-based software has been developed to automate both the delineation of anatomical target structures and the definition of the position, size and shape of the radiation beams. Proposed advantages include improved treatment accuracy, as well as a reduction in the time (from weeks to minutes) and human resources needed to deliver radiotherapy. …

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 = …

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 …

Screening For Malnutrition In Oral Cavity Cancer Patients Prior To Treatment: A Cross-Sectional Study, Haissan Iftikhar, Anwar Suhail, Amna Urooba, Karim Rizwan Nathani, Zeeshan Shaikh, Muhammad Wasif

Section of Otolaryngology, Head & Neck Surgery

This study was conducted to assess the frequency of pre-operative malnourishment in patients being treated for oral cavity squamous cell carcinoma. A retrospective chart review was carried out at the Aga Khan University Hospital, Karachi, on 62 patients. Patients were screened pre-operatively through a standard nutritional assessment tool at the time of admission to assess for malnutrition. Mean age of presentation was 48.34±13.11 years, mean height was 165 ± 8.62cm, weight 66.09±14.98 kg and BMI of 24.09±4.84. Males were 82.3% and 17.7% were females. At the time of admission, a significant number or patients, 12 (19.4%) were prone to malnourishment, …