Automated treatment planning for proton pencil beam scanning using deep learning dose prediction and dose-mimicking optimization.

PURPOSE: The purpose of this study is to investigate the use of a deep learning architecture for automated treatment planning for proton pencil beam scanning (PBS). METHODS: A 3-dimensional (3D) U-Net model has been implemented in a commercial treatment planning system (TPS) that uses contoured regions of interest (ROI) binary masks as model inputs with a predicted dose distribution as the model output. Predicted dose distributions were converted to deliverable PBS treatment plans using a voxel-wise robust dose mimicking optimization algorithm. This model was leveraged to generate machine learning (ML) optimized plans for patients receiving proton PBS irradiation of the chest wall. Model training was carried out on a retrospective set of 48 previously-treated chest wall patient treatment plans. Model evaluation was carried out by generating ML-optimized plans on a hold-out set of 12 contoured chest wall patient CT datasets from previously treated patients. Clinical goal criteria and gamma analysis were used to compare dose distributions of the ML-optimized plans against the clinically approved plans across the test patients. RESULTS: Statistical analysis of mean clinical goal criteria indicates that compared to the clinical plans, the ML optimization workflow generated robust plans with similar dose to the heart, lungs, and esophagus while achieving superior dosimetric coverage to the PTV chest wall (clinical mean V95 = 97.6% vs. ML mean V95 = 99.1%, p < 0.001) across the 12 test patients. CONCLUSIONS: ML-based automated treatment plan optimization using the 3D U-Net model can generate treatment plans of similar clinical quality compared to human-driven optimization.

Automated planning stage tracking and analysis through an integrated whiteboard system.

PURPOSE: One of the common challenges in delivering complex healthcare procedures such as radiation oncology is the organization and sharing of information in ways that facilitate workflow and prevent treatment delays. Within the major vendors of Oncology Information Systems (OIS) is a lack of tools and displays to assist in task timing and workflow processes. To address this issue, we developed an electronic whiteboard integrated with a local OIS to track, record, and evaluate time frames associated with clinical radiation oncology treatment planning processes. METHODS: We developed software using an R environment hosted on a local web-server at Seattle Cancer Care Alliance (SCCA) in 2017. The planning process was divided into stages, and time-stamped moves between planning stages were recorded automatically via Mosaiq (Elekta, Sweden) Quality Check Lists (QCLs). Whiteboard logs were merged with Mosaiq-extracted diagnostic factors and evaluated for significance. Interventional changes to task time expectations were evaluated for 6 months in 2021 and compared with 6 month periods in 2018 and 2019. RESULTS: Whiteboard/Mosaiq data from the SCCA show that treatment intent, number of prescriptions, and nodal involvement were main factors influencing overall time to plan completion. Contouring and Planning times were improved by 2.6 days (p<10-14) and 2.5 days (p<10-11), respectively. Overall time to plan completion was reduced by 33% (5.1 days; p<10-11). CONCLUSIONS: This report establishes the utility of real-time task tracking tools in a radiotherapy planning process. The whiteboard results provide data-driven evidence to add justification for practice change implementations.

Organizational capacities for 'residential care homes for the elderly' to provide culturally appropriate end-of-life care for Chinese elders and their families.

Developing culturally appropriate end-of-life care for Chinese elderly and families is not an endemic challenge for Hong Kong, but that of the Western countries with a noticeable trend of rising Chinese population. The particular development of Hong Kong healthcare system, which is currently the major provider of end-of-life care, makes Hong Kong a fruitful case for understanding the confluence of the West and the East cultures in end-of-life care practices. This study therefore aims at building our best practice to enhance the capacity of residential care homes in providing culturally appropriate end-of-life care. We conducted two phases of research, a questionnaire survey and a qualitative study, which respectively aims at (1) understanding the EoL care service demand and provision in RCHEs, including death facts and perceived barriers and challenges in providing quality end-of-life care in care homes, and (2) identifying the necessary organizational capacities for the 'relational personhood' to be sustained in the process of ageing and dying in residential care homes. Findings shed light on how to empower residential care homes with necessary environmental, structural and cultural-resource-related capacity for providing quality end-of-life care for Chinese elders and their families.

Solving the "Personhood Jigsaw Puzzle" in Residential Care Homes for the Elderly in the Hong Kong Chinese Context.

End-of-life care studies on the nature of personhood are bourgeoning; however, the practices utilized for achieving personhood in end-of-life care, particularly in a cultural context in which interdependent being and collectivism prevail, remain underexplored. This study seeks to examine and conceptualize good practices for achieving the personhood of the dying elderly in residential care homes in a Chinese context. Twelve interviews were conducted with both medical and social care practitioners in four care homes to collect narratives of practitioners' practices. Those narratives were utilized to develop an "end-of-life case graph." Constant comparative analysis led to an understanding of the practice processes, giving rise to a process model of "solving the personhood jigsaw puzzle" that includes "understanding the person-in-relationship and person-in-time," "identifying the personhood-inhibiting experiences," and "enabling personalized care for enhanced psychosocial outcomes." Findings show how the "relational personhood" of the elderly can be maintained when physical deterioration and even death are inevitable.

Planned neck dissection after definitive radiotherapy or chemoradiation for base of tongue cancers.

OBJECTIVES: The study goal was to analyze the role of planned neck dissection for squamous cell carcinoma of the base of the tongue treated with definitive radiotherapy or chemoradiation. STUDY DESIGN, SETTING: We conducted a retrospective study of patients with squamous cell carcinoma of the base of the tongue undergoing planned neck dissection after definitive radiotherapy or chemoradiation. RESULTS: Twenty-two of 41 (53.7%) patients had one to six positive residual lymph nodes after receiving definitive radiotherapy or chemoradiation. Neck control rates were 92.3% and 88.3% at two and five years, respectively. Three of 22 (13.6%) patients with pathological residual nodal disease had regional or locoregional failures, compared with 1 of 19 (5.3%) patients with a pathologically complete response (P = 0.39). CONCLUSIONS: We observed a high incidence of pathologically residual lymph nodes after definitive radiotherapy or chemoradiation. SIGNIFICANCE: Planned neck dissection following definitive radiotherapy or chemoradiation is highly effective in achieving regional control of squamous cell carcinoma of the base of the tongue.