Safety strategies in an academic radiation oncology department and recommendations for action.

Jt Comm J Qual Patient Saf

Department of Radiation Oncology and Molecular Radiation Sciences, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, John Hopkins School of Medicine, Baltimore, USA.

Published: July 2011

Background: Safety initiatives in the United States continue to work on providing guidance as to how the average practitioner might make patients safer in the face of the complex process by which radiation therapy (RT), an essential treatment used in the management of many patients with cancer, is prepared and delivered. Quality control measures can uncover certain specific errors such as machine dose miscalibration or misalignments of the patient in the radiation treatment beam. However, they are less effective at uncovering less common errors that can occur anywhere along the treatment planning and delivery process, and even when the process is functioning as intended, errors still occur. PRIORITIZING RISKS AND IMPLEMENTING RISK-REDUCTION STRATEGIES: Activities undertaken at the radiation oncology department at the Johns Hopkins Hospital (Baltimore) include Failure Mode and Effects Analysis (FMEA), risk-reduction interventions, and voluntary error and near-miss reporting systems. A visual process map portrayed 269 RT steps occurring among four subprocesses-including consult, simulation, treatment planning, and treatment delivery. Two FMEAs revealed 127 and 159 possible failure modes, respectively. Risk-reduction interventions for 15 "top-ranked" failure modes were implemented. Since the error and near-miss reporting system's implementation in the department in 2007, 253 events have been logged. However, the system may be insufficient for radiation oncology, for which a greater level of practice-specific information is required to fully understand each event.

Conclusions: The "basic science" of radiation treatment has received considerable support and attention in developing novel therapies to benefit patients. The time has come to apply the same focus and resources to ensuring that patients safely receive the maximal benefits possible.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3655402PMC
http://dx.doi.org/10.1016/s1553-7250(11)37037-7DOI Listing

Publication Analysis

Top Keywords

radiation oncology
12
oncology department
8
radiation treatment
8
errors occur
8
treatment planning
8
risk-reduction interventions
8
error near-miss
8
near-miss reporting
8
failure modes
8
radiation
6

Similar Publications

Cytosolic DNA composition is determined by genomic instability mechanism and regulates dendritic cell-mediated anti-tumor immunity.

Cell Rep

January 2025

Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, AB T6G 1Z2, Canada; Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2R3, Canada. Electronic address:

Patients with colorectal cancers (CRCs) that have microsatellite instability (MSI) (MSI CRCs) face a better prognosis than those with the more common chromosomal instability (CIN) subtype (CIN CRCs) due to improved T cell-mediated anti-tumor immune responses. Previous investigations identified the cytosolic DNA (cyDNA) sensor STING as necessary for chemokine-mediated T cell recruitment in MSI CRCs. Here, we find that cyDNA from MSI CRC cells is inherently more capable of inducing STING activation and improves cytotoxic T cell activation by dendritic cells (DCs).

View Article and Find Full Text PDF

Introduction: The core objective of this study was to precisely locate metastatic lymph nodes, identify potential areas in nasopharyngeal carcinoma patients that may not require radiotherapy, and propose a hypothesis for reduced target volume radiotherapy on the basis of these findings. Ultimately, we reassessed the differences in dosimetry of organs at risk (OARs) between reduced target volume (reduced CTV2) radiotherapy and standard radiotherapy.

Methods And Materials: A total of 209 patients participated in the study.

View Article and Find Full Text PDF

Unveiling the relation between swallowing muscle mass and skeletal muscle mass in head and neck cancer patients.

Eur Arch Otorhinolaryngol

January 2025

Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, PO box 30.001, Groningen, 9700RB, The Netherlands.

Purpose: Sarcopenia, characterized by loss of skeletal muscle mass (SMM) and strength, often leads to dysphagia in the elderly. This condition can also worsen treatment outcomes in head and neck cancer (HNC) patients, who are susceptible to swallowing difficulties. This study aimed to establish the correlation between swallowing muscle mass (SwMM) and SMM in HNC patients.

View Article and Find Full Text PDF

This study aimed to investigate the role of myosteatosis, sarcopenia, and perioperative serum biomarkers as independent predictors of major complications within 180 days following radical cystectomy (RC) for muscle-invasive bladder cancer (MIBC). We retrospectively analyzed of 127 MIBC patients who underwent RC between 2013 and 2023 at a single institution. Preoperative body composition was assessed using CT scans at the L3 vertebral level to measure psoas muscle density (PMD), skeletal muscle density (SMD), axial muscle density (AMD), and muscle indices.

View Article and Find Full Text PDF

Exploring the potential of advanced artificial intelligence technology in predicting microsatellite instability (MSI) and Ki-67 expression of endometrial cancer (EC) is highly significant. This study aimed to develop a novel hybrid radiomics approach integrating multiparametric magnetic resonance imaging (MRI), deep learning, and multichannel image analysis for predicting MSI and Ki-67 status. A retrospective study included 156 EC patients who were subsequently categorized into MSI and Ki-67 groups.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!