12 Lists, et al: A pocket compendium for the Fuller Lab.

This is a laboratory guide ot the operational and conceptual underpinnings of our Lab group, inspired by Tom Sach's "10 Bullets" and "Paradox Bullet's" 'zines/videos. This resources is intended as semi-serious orientation to the Fuller Lab's underpinning apporach, admixed with anecedotes, quotes, recommendations, and general trivia germane to the Fuller Lab, designed to acculturate new Lab trainees and as a reinforcement of norms/approach for current Lab members. *Contains mild profanity, but is definitely SFW.</p

2022 DHMC/DCC Update on MR-Guided Head and Neck Radiotherapy

Invited virtual presentation for the 2nd Annual Dartmouth Radiation Oncology Research Retreat, Saturday, November 5th, 2022. </p

HNSCC: Hot topics in oropharyngeal cancer management

Presentation for the MD Anderson Head and Neck Surgery Fellowship Core Curriculum Conference, delivered live & via Zoom on 2022-10-16T1800-0600.  </p

"Biomarkers in RT" and "Radiomics for Head and Neck Cancer"--Presentations to the Brescia Meetings in Radiation Oncology, 2022 Edition.

Presentation to the  Brescia Meetings in RadiationOncology, 2022 Edition IMAGING AND RADIOTHERAPY: A VISION FOR A BRIGHTER FUTURE, An International Meeting. Held in-person in Brescia, IT, on 2022-09-22, and delivered via Zoom by Dr. Clifton Fuller.  </p

CERRO 2024: "MR Biomarkers in head and neck cancer"

Presentation to the European SocieTy for Radiotherapy and Oncology 2024 CERRO workshop, on 2024-01-17, Le Chalet du Mont Vallon, Ménuires, FR.</p

2024 North American Skull Base Society 33rd Annual Meeting Presentations: "CT-to-MR for Head and Neck SBRT Applications" and "Machine Learning in Radiotherapy".

Presentations delivered to the 2024 North American Skull Base Society 33rd Annual Meeting in Atltanta, Georgia, as part of the Radiosurgery Pre-Course, and Invited Presentation sessions.</p

<b>IGCT Seminar Course Clinical Challenges Session (Head and Neck Radiation)</b>

Presentation to the MD Anderson Image-guided Cancer Program T32 Program.The Image Guided Cancer Therapy (IGCT) Program’s T32 Training Program seminar course is designed to teach critical, multi-disciplinary problem solving skills in the field of image guided cancer therapy. It was previously piloted with great interest and success and is being held again this year as part of the required training for our IGCT T32 postdoctoral fellows. The five week outline is as follows:Head & Neck Block: Monday afternoons from 3-5p - February 12th - March 18th (no seminar on 3/11)Week 1: Clinicians (e.g., an interventional radiologist, a radiation oncologist, and a surgeon working on a key anatomical site) will attend the 2-hour seminar and each present on their top 5 clinical problems/challenges. Trainees will ask questions to help them better understand the clinical challenge and begin to formulate how to solve these challenges. (2hr)Week 2: Imaging scientists, medical physicists, and other technical researchers will present on novel and emerging technologies (focused on the key anatomical site). Trainees will ask questions to better understand the technologies and how they may be applied to help solve the clinical challenges. (2hr)Weeks 3 & 4: Trainees meet to discuss the challenges they will work to solve and put together an aims sheet. Additional resources may be pulled in to help answer questions, gather more information, or clarify. (2hr)Week 5: Trainees will present their proposed aims to the clinical and technical teams, who will provide them with feedback on their proposed solutions. (1hr)</p

2023 MDACC INSTITUTE FOR DATA SCIENCE IN ONCOLOGY PROGRAM

Presentation to MD Anderson Institute for Data Science in Oncology Fellows Program, delivered live/hybrid on 2024-01-25, at the TMC3, Houston TX, USA.Topic: "The Curse of Dimensionality in Head and Neck Image-guided Radiotherapy:?Challenges and Opportunities."</p

QUANTITATIVE METHODS IN RADIATION ONCOLOGY: MODELS, TRIALS AND CLINICAL OUTCOMES

Presentation to the 2022 ESTRO Teaching School Presentation December 4-7, in Lisbon, Portugal.  Course Director:  Søren M. Bentzen (USA) Faculty: Ane L. Appelt (UK) C. David Fuller (USA)  Johannes A. Langendijk (NL) Jens Petersen (DK) Ivan R. Vogelius</p

Test DICOM files set for Local control challenge

<p>This MD Anderson Cancer Center set of anonymized high-quality computed tomography (CT) scans with contrast represent a comparatively homogeneous, uniform cohort of 288 oropharynx cancer patients with detailed clinical history, consistent follow-up of > 2 years, known etiological/biological correlates (specifically, human papilloma virus status). Our major target is to assess/validate the radiomics workflow and predictive capacity of radiomics signatures from challenge participants.</p><p>We imported the CT scans from the patients’ electronic medical records, that were performed before the initiation of the radiation treatment course. All the patients were treated using the IMRT modality. Some patients were simultaneously prescribed chemotherapy. We intended that the CT films would be as much representative of the original simulation CT scans that were used for treatment planning, in which no contrast was injected according to our institutional policy.</p><p>Specifically, we posted around one-half of the CT scans from the dataset (138 patients), in DICOM-RT format, on the Kaggle in Class server system, as a “training set”. DICOM-RT files were fully anonymized, with expert physician segmenting primary tumor and lymph node as regions of interest, to eliminate segmentation-related uncertainty for challengers. </p><p>The primary oropharyngeal tumor was segmented in red. Whereas, the metastatic cervical lymph nodes were segmented individually, rather than on the basis of the nodal level classification system. </p><p>Both training and test sets include the following data for each DICOM-RT case:</p><ul><li>age</li><li>gender</li><li>race</li><li>tumor side and subsite</li><li>T-category</li><li>N-category</li><li>AJCC stage</li><li>Pathologic grade</li><li>smoking status (in pack-years)</li></ul><p>Challenge participants will also be able to download a “test" dataset, which includes the remaining randomly selected 150 patients DICOM files and relevant clinical meta-data, with local control status blinded.</p