Aims: This study aimed to examine whether any significant differences existed in trial protocol compliance in target volumes (TV) and organs at risk (OARs) contouring amongst clinical oncologists specialised in lung cancer radiotherapy.
Materials/methods: Two lung radiotherapy trials that require all prospective investigators to submit pre-trial outlining quality assurance (QA) benchmark cases were selected. The contours from the benchmark cases were compared against a set of reference contours which were defined by the trial management group (TMG). In order to quantify the degree of variation in TV and OARs contouring, the matching index (MI), Dice coefficient (DICE), Jaccard index (JI), Van't Riet Index and geographical miss index (GMI) were calculated.
Results: A total of 198 structures contoured by 21 clinicians were collected from the outlining benchmark cases. There were 40 clinical target volumes (CTV), 32 spinal cord, 36 oesophagus, 36 heart and 54 lungs volumes included in the study. Analysis of the pre-trial benchmark cases revealed statistically significant differences (p ≤ 0.05) in trial protocol compliances between clinical oncologists' target volume and organs at risk contours. Our results demonstrated that the lung contours had the highest level of conformity, followed by heart, CTV, spinal cord and oesophagus respectively.
Conclusions: This study showed that there was a statistically significant difference in trial protocol compliance for lung clinical oncologists' TV and OARs contouring within the pre-trial QA benchmark cases. Trial protocol compliances of TV and OARs delineation can be identified through assessing outlining QA benchmark cases.
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http://dx.doi.org/10.1016/j.tipsro.2019.05.001 | DOI Listing |
J Chem Phys
January 2025
Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, Tennessee 37830, USA.
The linear scaling divide-expand-consolidate (DEC) framework is expanded to include unrestricted Hartree-Fock references. By partitioning the orbital space and employing local molecular orbitals, the full molecular calculation can be performed as independent calculations on individual fragments, making the method well-suited for massively parallel implementations. This approach also incorporates error control through the fragment optimization threshold (FOT), which maintains precision and consistency throughout the calculations.
View Article and Find Full Text PDFAnn Surg
January 2025
Department of Visceral, Transplant and Thoracic Surgery, Center for Operative Medicine, Medical University of Innsbruck.
Objective: To report outcomes from routine clinical practice of liver transplantation (LT) following normothermic liver machine perfusion (NLMP) and compare to LT after static cold storage (SCS).
Background: NLMP is emerging as a clinical routine in LT as has recently received renewed attention, however outcomes outside of clinical trials are lacking.
Methods: All adult LT between February 2018 and January 2023 were included.
J Cardiovasc Comput Tomogr
January 2025
Royal Brompton Hospital, London, England, USA; School of Biomedical Engineering and Imaging Sciences, King's College, London, USA. Electronic address:
Background: Cardiac Computed Tomography (CCT) is increasingly used for evaluation of congenital heart disease (CHD) in patients of all ages. Pediatric and adult congenital heart disease (ACHD) surgical programs require high quality CCT imaging as part of the multimodality imaging support expected of comprehensive care centers. Despite these expectations, there are no benchmarks or defined programmatic elements specific to the performance of CCT in patients with CHD.
View Article and Find Full Text PDFCell Rep Methods
January 2025
Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA. Electronic address:
We develop a data harmonization approach for C. elegans volumetric microscopy data, consisting of a standardized format, pre-processing techniques, and human-in-the-loop machine-learning-based analysis tools. Using this approach, we unify a diverse collection of 118 whole-brain neural activity imaging datasets from five labs, storing these and accompanying tools in an online repository WormID (wormid.
View Article and Find Full Text PDFArthroplast Today
December 2024
The CORE Institute, Phoenix, AZ, USA.
Background: Arthroplasty registries play a critical role in improving the quality of care and performing post-market surveillance of medical devices. We report the Michigan Arthroplasty Registry Collaborative Quality Initiative (MARCQI) findings specific to the Biomet Vanguard XP bicruciate-retaining total knee implant.
Methods: Data were collected from MARCQI's 2019 report (February 15, 2012, through December 31, 2018).
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