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Oropharyngeal Neoplasms

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Functional outcomes after transoral robotic surgery for squamous cell carcinoma of the oropharynx.

B-ENT
Over the past decade, the development of transoral robotic surgery (TORS) brought a new opportunity in the treatment of early T-stage oropharyngeal squamous cell carcinoma (OPSCC). The objective of this study is to review the functional outcomes afte...

Clinical decision support of radiotherapy treatment planning: A data-driven machine learning strategy for patient-specific dosimetric decision making.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
BACKGROUND AND PURPOSE: Clinical decision support systems are a growing class of tools with the potential to impact healthcare. This study investigates the construction of a decision support system through which clinicians can efficiently identify wh...

Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function.

International journal of radiation oncology, biology, physics
PURPOSE: Automating and standardizing the contouring of clinical target volumes (CTVs) can reduce interphysician variability, which is one of the largest sources of uncertainty in head and neck radiation therapy. In addition to using uniform margin e...

Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks.

Physics in medicine and biology
Accurate clinical target volume (CTV) delineation is essential to ensure proper tumor coverage in radiation therapy. This is a particularly difficult task for head-and-neck cancer patients where detailed knowledge of the pathways of microscopic tumor...

Machine learning helps identifying volume-confounding effects in radiomics.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Highlighting the risk of biases in radiomics-based models will help improve their quality and increase usage as decision support systems in the clinic. In this study we use machine learning-based methods to identify the presence of volume-confounding...

One-year outcomes for da Vinci single port robot for transoral robotic surgery.

Head & neck
BACKGROUND: The da Vinci single-port (SP) robot is a new instrument for transoral robotic surgery (TORS) in oropharyngeal cancers (OPSCCs). We describe one-year SP surgical outcomes and compare them to da Vinci Si outcomes.