Purpose: To evaluate incidental doses to benign lung tissue for patients with minimally moving lung lesions treated with respiratory gating.
Methods And Materials: Seventeen lung patient plans were studied retrospectively. Tumor motion was less than 5 mm in all cases. For each patient, mid-ventilation (MidVen) and mid-inhalation (MidInh) breathing phases were reconstructed. The MidInh phase was centered on the end-of-inhale (EOI) phase within a 30% gating window. Planning target volumes, heart, and spinal cord were delineated on the MidVen phase and transferred to the MidInh phase. Lungs were contoured separately on each phase. Intensity-modulated radiotherapy plans were generated on the MidVen phases. The plans were transferred to the MidInh phase, and doses were recomputed. The evaluation metric was based on dose indices, volume indices, generalized equivalent uniform doses, and mass indices for targets and critical structures. Statistical tests were used to establish the significance of the differences between the reference (MidVen) and compared (MidInh) dose distributions.
Results: Statistical tests demonstrated that the indices evaluated for targets, cord, and heart differed by within 2.3%. The index differences in the lungs, however, are in excess of 6%, indicating the potentially achievable lung sparing and/or dose escalation.
Conclusions: Respiratory gating is a clinical option for patients with minimally moving lung lesions treated at EOI. Gating will be more beneficial for larger tumors, since dose escalation in those cases will result in a larger increase in the tumor control probability.
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http://dx.doi.org/10.1016/j.ijrobp.2009.08.021 | DOI Listing |
Ann Card Anaesth
January 2025
Department of Anaesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Background: Congenital heart diseases (CHDs) are not rare and often require an intervention at some point of time. Pediatric cardiac catheterization, a minimally invasive procedure, is performed to diagnose and to correct many cardiac abnormalities. Deep sedation with spontaneously breathing patients is the preferred technique for pediatric catheterization in the pediatric population.
View Article and Find Full Text PDFSurg Endosc
January 2025
Center for Minimally Invasive Surgery, The Ohio State University Wexner Medical Center, 410 W 10th Avenue, 558 Doan Hall, Columbus, OH, USA.
Background: The current evaluation of surgical resident operative autonomy consists primarily of self-report and is prone to bias. Objective performance indicators (OPIs) generated from the da Vinci Surgical System capture objective intraoperative data providing an opportunity to evaluate the intraoperative resident experience more accurately. This study investigates the ability of OPIs to describe resident autonomy during robotic cholecystectomy.
View Article and Find Full Text PDFObjective: A 26-year-old woman came for orthodontic treatment to improve her profile with protrusive lips. Diagnosed as bimaxillary protrusion, extraction followed by anterior retraction was indispensable for the case. However, her left upper lateral incisor was absent, the left upper canine had moved mesially and replaced the adjacent incisor, and the original canine location was restored with a long implant, which was in good condition.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Importance: The goal of surgical deescalation is to minimize tissue damage, enhance patient outcomes, and reduce the adverse effects often associated with extensive or traditional surgical procedures. This shift toward less invasive techniques has the potential to revolutionize surgical practices, profoundly impacting the methods and training of future surgeons.
Objective: To evaluate adoption of surgical deescalation within the field of gynecologic oncology using The National Cancer Database.
Improved surgical skill is generally associated with improved patient outcomes, although assessment is subjective, labour intensive, and requires domain-specific expertise. Automated data-driven metrics can alleviate these difficulties, as demonstrated by existing machine learning instrument tracking models. However, these models are tested on limited datasets of laparoscopic surgery, with a focus on isolated tasks and robotic surgery.
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