Lymphoscintigraphy is a nuclear medicine procedure that is used to detect sentinel lymph nodes (SLNs). This project sought to investigate fusion of planar scintigrams with CT topograms as a means of improving the anatomic reference for the SLN localization. Heretofore, the most common lymphoscintigraphy localization method has been backlighting with a (57)Co sheet source. Currently, the most precise method of localization through hybrid SPECT/CT increases the patient absorbed dose by a factor of 34 to 585 (depending on the specific CT technique factors) over the conventional (57)Co backlighting. The new approach described herein also uses a SPECT/CT scanner, which provides mechanically aligned planar scintigram and CT topogram data sets, but only increases the dose by a factor of two over that from (57)Co backlighting. Planar nuclear medicine image fusion with CT topograms has been proven feasible and offers a clinically suitable compromise between improved anatomic details and minimally increased radiation dose.
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http://dx.doi.org/10.1155/2011/298102 | DOI Listing |
Chemistry
January 2025
Osaka Metropolitan University: Osaka Koritsu Daigaku, Chemistry, 3-3-138 Sugimoto, Sumiyoshi-ku, 558-8585, Osaka, JAPAN.
Gold(I)-catalyzed intramolecular hydroarylation of dialkynyl(biaryl)phosphine oxides provided versatile benzo-fused phosphepine oxides. O-exo adducts were obtained as the major product, and O-endo adducts were the minor product. O-exo and O-endo indicate the position of an oxygen atom with respect to the central phosphepine framework.
View Article and Find Full Text PDFFront Oncol
January 2025
Department of Clinical Development, POINT Biopharma, a wholly owned subsidiary of Eli Lilly and Company, Indianapolis, IN, United States.
Introduction: SPLASH (NCT04647526) is a multicenter phase III trial evaluating the efficacy and safety of [Lu]Lu-PNT2002 radioligand therapy in metastatic castration-resistant prostate cancer (mCRPC). This study leveraged a lead-in phase to assess tissue dosimetry and evaluate preliminary safety and efficacy, prior to expansion into a randomized phase. Here we report those results.
View Article and Find Full Text PDFSci Rep
January 2025
School of Computer and Information Technology, Xinyang Normal University, Xinyang, Henan Province, 464000, P. R. China.
Accurate detection of surface defects on strip steel is essential for ensuring strip steel product quality. Existing deep learning based detectors for strip steel surface defects typically strive to iteratively refine and integrate the coarse outputs of the backbone network, enhancing the models' ability to express defect characteristics. Attention mechanisms including spatial attention, channel attention and self-attention are among the most prevalent techniques for feature extraction and fusion.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.
Current limitations in implant design often lead to trade-offs between minimally invasive surgery and achieving the desired post-implantation functionality. Here, we present an artificial intelligence inverse design paradigm for creating deployable implants as planar and tubular thermal mechanical metamaterials (thermo-metamaterials). These thermo-metamaterial implants exhibit tunable mechanical properties and volume change in response to temperature changes, enabling minimally invasive and personalized surgery.
View Article and Find Full Text PDFPeerJ Comput Sci
August 2024
School of Design, Guangxi Normal University, Guilin, China.
The article aims to address the challenges of information degradation and distortion in graphic design, focusing on optimizing the traditional compressed sensing (CS) model. This optimization involves creating a co-reconstruction group derived from compressed observations of local image blocks. Following an initial reconstruction of compressed observations within similar groups, an initially reconstructed image block co-reconstruction group is obtained, featuring degraded reconstructed images.
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