Precision in the Face of Noise -- Lessons from Kahneman, Siboney, and Sunstein for Radiation Oncology

Autor: Wahid, Kareem A., Fuller, Clifton D., Fuentes, David

In this manuscript, we draw on the insights from Kahneman, Sibony, and Sunsteins influential nonfiction book Noise: A Flaw in Human Judgment to explore the concept of unwanted variability in judgment (i.e., noise). We introduce key terms and connect

Externí odkaz: http://arxiv.org/abs/2412.02724

OAR-Weighted Dice Score: A spatially aware, radiosensitivity aware metric for target structure contour quality assessment

Autor: McCullum, Lucas, Wahid, Kareem A., Marquez, Barbara, Fuller, Clifton D.

Publikováno v: David Sarrut, Simon Rit. Proceedings of the XX-th international conference on the use of computers in radiation therapy (ICCR). XX-th international conference on the use of computers in radiation therapy (ICCR), 2024.

The Dice Similarity Coefficient (DSC) is the current de facto standard to determine agreement between a reference segmentation and one generated by manual / auto-contouring approaches. This metric is useful for non-spatially important images; however

Externí odkaz: http://arxiv.org/abs/2410.20243

Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans

Autor: Gronberg, Mary P., Beadle, Beth M., Garden, Adam S., Skinner, Heath, Gay, Skylar, Netherton, Tucker, Cao, Wenhua, Cardenas, Carlos E., Chung, Christine, Fuentes, David, Fuller, Clifton D., Howell, Rebecca M., Jhingran, Anuja, Lim, Tze Yee, Marquez, Barbara, Mumme, Raymond, Olanrewaju, Adenike M., Peterson, Christine B., Vazquez, Ivan, Whitaker, Thomas J., Wooten, Zachary, Yang, Ming, Court, Laurence E.

Publikováno v: Practical Radiation Oncology, Volume 13, Issue 3, May-June 2023, Pages e282-e291

Purpose: This study aimed to use deep learning-based dose prediction to assess head and neck (HN) plan quality and identify suboptimal plans. Methods: A total of 245 VMAT HN plans were created using RapidPlan knowledge-based planning (KBP). A subset

Externí odkaz: http://arxiv.org/abs/2209.14277

Artificial intelligence uncertainty quantification in radiotherapy applications − A scoping review

Autor: Wahid, Kareem A., Kaffey, Zaphanlene Y., Farris, David P., Humbert-Vidan, Laia, Moreno, Amy C., Rasmussen, Mathis, Ren, Jintao, Naser, Mohamed A., Netherton, Tucker J., Korreman, Stine, Balakrishnan, Guha, Fuller, Clifton D., Fuentes, David, Dohopolski, Michael J.

Publikováno v: In Radiotherapy and Oncology December 2024 201

Combination Chemotherapy Optimization with Discrete Dosing

Autor: Ajayi, Temitayo, Hosseinian, Seyedmohammadhossein, Schaefer, Andrew J., Fuller, Clifton D.

Chemotherapy is one of the primary modalities of cancer treatment. Chemotherapy drug administration is a complex problem that often requires expensive clinical trials to evaluate potential regimens. One way to alleviate this burden and better inform

Externí odkaz: http://arxiv.org/abs/2111.02000