AI Article Synopsis

  • This study looked at how in vivo dosimetry (IVD) helps manage risks during lung cancer treatments that use a special kind of radiation.
  • They checked the treatment results for 93 patients in two phases to find and fix mistakes.
  • By making better procedures and checking things carefully, they saw fewer errors and improved the accuracy of the treatments.

Article Abstract

Background And Objective: In this work we report our experience with the use of in vivo dosimetry (IVD) in the risk management of stereotactic lung treatments.

Methods: A commercial software based on the electronic portal imaging device (EPID) signal was used to reconstruct the actual planning target volume (PTV) dose of stereotactic lung treatments. The study was designed in two phases: i) in the observational phase, the IVD results of 41 consecutive patients were reviewed and out-of-tolerance cases were studied for root cause analysis; ii) in the active phase, the IVD results of 52 patients were analyzed and corrective actions were taken when needed. Moreover, proactive preventions were further introduced to reduce the risk of future failures. The error occurrence rate was analyzed to evaluate the effectiveness of proactive actions.

Results: A total of 330 fractions were analyzed. In the first phase, 13 errors were identified. In the active phase, 12 errors were detected, 5 of which needed corrective actions; in 4 patients the actions taken corrected the error. Several preventions and barriers were introduced to reduce the risk of future failures: the planning checklist was updated, the procedure for vacuum pillows was improved, and use of the respiratory compression belt was optimized. A decrease in the failure rate was observed, showing the effectiveness of procedural adjustment.

Conclusion: The use of IVD allowed the quality of lung stereotactic body radiation therapy (SBRT) treatments to be improved. Patient-specific and procedural corrective actions were successfully taken as part of risk management, leading to an overall improvement in the dosimetric accuracy.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00066-023-02081-xDOI Listing

Publication Analysis

Top Keywords

risk management
12
stereotactic lung
12
corrective actions
12
vivo dosimetry
8
management stereotactic
8
lung treatments
8
phase ivd
8
active phase
8
introduced reduce
8
reduce risk
8

Similar Publications

Hyperactivity and Pro-inflammatory Functions of Platelets in Diabetes.

Front Biosci (Landmark Ed)

January 2025

Biomedical Institute for Multimorbidity (BIM), Hull York Medical School (HYMS), University of Hull, HU6 7RX Hull, UK.

Cardiovascular complications claim the lives of up to 70% of patients with diabetes mellitus (DM). The mechanisms increasing cardiovascular risk in DM remain to be fully understood and successfully addressed. Nonetheless, there is increasing evidence in the scientific literature of the participation of platelets in the cardiovascular complications of DM.

View Article and Find Full Text PDF

Background: The usual antithrombotic treatment for symptomatic intracranial atherosclerotic stenosis (ICAS) consists of dual treatment with clopidogrel and aspirin for 90 days followed by aspirin alone but the risk of recurrent stroke remains high up to 12 months. The Comparison of Anticoagulation and anti-Platelet Therapies for Intracranial Vascular Atherostenosis (CAPTIVA) trial was designed to determine whether other combinations of dual antithrombotic therapy are superior to clopidogrel and aspirin.

Methods: CAPTIVA is an ongoing, prospective, double-blinded, three-arm clinical trial at over 100 sites in the United States and Canada that will randomize 1683 high-risk subjects with a symptomatic infarct attributed to 70-99% stenosis of a major intracranial artery to 12 months of treatment with (1) ticagrelor (180 mg loading dose, then 90 mg twice daily), (2) low-dose rivaroxaban (2.

View Article and Find Full Text PDF

Retrospective Analysis of the Correlation between Umbilical Blood Flow Index and Maternal and Fetal Outcomes in Pregnant Women with Gestational Diabetes.

Br J Hosp Med (Lond)

January 2025

Department of Obstetrics and Gynecology, The First Clinical Medical College of Three Gorges University, Yichang Central People's Hospital, Yichang, Hubei, China.

Gestational diabetes mellitus (GDM) is a common complication during pregnancy. This retrospective study investigates the correlation between umbilical blood flow index and maternal-fetal outcomes in pregnant women with GDM, aiming to contribute to evidence-based risk assessment and management strategy in this high-risk obstetric population. This retrospective study recruited 119 pregnant women with GDM who were admitted to the Yichang Central People's Hospital, between January 2022 and January 2024.

View Article and Find Full Text PDF

The Geriatric Nutritional Risk Index (GNRI) is an effective tool for identifying malnutrition, and helps monitor the prognosis of patients undergoing maintenance hemodialysis. However, the association between the GNRI and cardiovascular or all-cause mortality in hemodialysis patients remains unclear. Therefore, this study investigated the correlation of the GNRI with all-cause and cardiovascular mortality in patients undergoing maintenance hemodialysis.

View Article and Find Full Text PDF

The background for establishing and verifying a dehydration prediction model for elderly patients with post-stroke dysphagia (PSD) based on General Utility for Latent Process (GULP) is as follows: For elderly patients with PSD, GULP technology is utilized to build a dehydration prediction model. This aims to improve the accuracy of dehydration risk assessment and provide clinical intervention, thereby offering a scientific basis and enhancing patient prognosis. This research highlights the innovative application of GULP technology in constructing complex medical prediction models and addresses the special health needs of elderly stroke patients.

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!