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Photon-Counting CT Effects on Sensitivity for Liver Lesion Detection: A Reader Study Using Virtual Imaging.
Radiology
January 2025
From the Department of Radiology, Duke University Hospital, 2301 Erwin Rd, Box 3808, Durham, NC 27701 (B.W.T., K.R.K., B.C.A., S.P.T., D.E.K., B.H., M.R.B., D.M., E.S., E.A.); Department of Biostatistics and Bioinformatics (N.F., S.M., A.E.) and Department of Medical Physics (W.P.S., E.S., E.A.), Duke University, Durham, NC.
Background Detection of hepatic metastases at CT is a daily task in radiology departments that influences medical and surgical treatment strategies for oncology patients. Purpose To compare simulated photon-counting CT (PCCT) with energy-integrating detector (EID) CT for the detection of small liver lesions. Materials and Methods In this reader study (July to December 2023), a virtual imaging framework was used with 50 anthropomorphic phantoms and 183 generated liver lesions (one to six lesions per phantom, 0.
View Article and Find Full Text PDFAAPM Truth-based CT (TrueCT) reconstruction grand challenge.
Med Phys
January 2025
Center for Virtual Imaging Trial, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University School of Medicine, Durham, North Carolina, USA.
Background: This Special Report summarizes the 2022, AAPM grand challenge on Truth-based CT image reconstruction.
Purpose: To provide an objective framework for evaluating CT reconstruction methods using virtual imaging resources consisting of a library of simulated CT projection images of a population of human models with various diseases.
Methods: Two hundred unique anthropomorphic, computational models were created with varied diseases consisting of 67 emphysema, 67 lung lesions, and 66 liver lesions.
On the steroids extracted from soft corals against the NS3/4A protease of hepatitis C virus.
J Mol Graph Model
December 2024
Faculty of Chemistry and Center for Computational Science, Hanoi National University of Education, Hanoi, Viet Nam; Institute of Natural Sciences, Hanoi National University of Education, Hanoi, Viet Nam.
The Hepatitis C virus (HCV) causes a variety of liver diseases, making it a global health issue that affects millions of people in the world. The NS3/4A protease has been considered a common target for anti-HCV treatments using direct-acting antiviral agents and their derivatives. Of the natural products that have been proposed for novel therapeutic product alternatives, the soft coral compounds are found to contain steroids with various bioactive properties for effective HCV treatments.
View Article and Find Full Text PDFGeneration of deep learning based virtual non-contrast CT using dual-layer dual-energy CT and its application to planning CT for radiotherapy.
PLoS One
January 2025
Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.
This paper presents a novel approach for generating virtual non-contrast planning computed tomography (VNC-pCT) images from contrast-enhanced planning CT (CE-pCT) scans using a deep learning model. Unlike previous studies, which often lacked sufficient data pairs of contrast-enhanced and non-contrast CT images, we trained our model on dual-energy CT (DECT) images, using virtual non-contrast CT (VNC CT) images as outputs instead of true non-contrast CT images. We used a deterministic method to convert CE-pCT images into pseudo DECT images for model application.
View Article and Find Full Text PDFMeasuring Bound Attention During Complex Liver Surgery Planning: Feasibility Study.
JMIR Form Res
January 2025
University Hospital for Visceral Surgery, PIUS-Hospital, Department for Human Medicine, Faculty VI, University of Oldenburg, Oldenburg, Germany.
Background: The integration of advanced technologies such as augmented reality (AR) and virtual reality (VR) into surgical procedures has garnered significant attention. However, the introduction of these innovations requires thorough evaluation in the context of human-machine interaction. Despite their potential benefits, new technologies can complicate surgical tasks and increase the cognitive load on surgeons, potentially offsetting their intended advantages.
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