Background: Computed tomographic perfusion (CTp) imaging is a promising technique that allows functional imaging, as an adjunct to a morphologic CT examination, that can be used as an aid to carefully evaluate the response to therapy in oncologic patients. Considering this statement, it could be desirable that the measurements obtained with the CT perfusion software, and their upgrades, are consistent and reproducible.
Purpose: To determine how commercial software upgrades impact on algorithm consistency and stability among the three version upgrades of the same platform in a preliminary study.
Material And Methods: Blood volume (BV), blood flow (BF), mean transit time (MTT), and permeability surface area product (PS) were calculated with repeated measurements (n = 1119) while truncating the time density curve at different time values in six CT perfusion studies using CT perfusion software version 4D (CT Perfusion 4D), then repeated with the previous version (CT Perfusion 3.0 and CT Perfusion 4.0), using a fixed ROI both for arterial input and target lesion. The software upgrades were compared in pairs by applying a Kolmogorov-Smirnov test to all the parameters measured. Stability and reliability of the three versions were verified through the variation of the truncated parameters.
Results: The three software versions provided different parent distributions for approximately 80% of the 72 parameters measured. A complete agreement was found only for one patient in version 3.0 vs. 4.0 and 3.0 vs. 4D. Perfusion 4.0 vs. 4D: a complete agreement was found only in two cases. Parameters obtained with Perfusion 4D always showed the lowest standard deviation in all temporal intervals and also for all individual parameters.
Conclusion: The three versions of the same platform tested yield different perfusion measurements. Thus, our preliminary results show that Perfusion 4D version uses a stable deconvolution algorithm to provide more reliable measurements.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/0284185113484643 | DOI Listing |
Prostate
January 2025
Urology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Objectives: To evaluate the association of the negative confirmatory and follow-up biopsy with prostate cancer reclassification in active surveillance protocol.
Materials And Methods: A systematic search was performed in databases, including Scopus, PubMed, Embase, and Web of Science, on June 25th, 2024, to identify relevant studies regarding negative biopsy and reclassification of prostate cancer among men on AS. The patient data including, sample sizes, follow-up duration, the status of performing the confirmatory biopsy, hazard ratio (HR), and 95% confidence intervals (CI) of each reported HR were evaluated in each study.
J Orthop Surg Res
January 2025
Department of Orthopaedics, the 960th Hospital of PLA, 25 shifan Road, Tianqiao District, Jinan, Shandong, 250031, China.
Background: One of the common complications in spinal surgery patients is deep surgical site infections (SSIs). Deep SSIs refer to infections that involve the deeper soft tissues of the incision, such as the fascia and muscle layers. This complication can lead to prolonged hospitalization, repeated surgeries, and even life-threatening conditions.
View Article and Find Full Text PDFInt J Radiat Oncol Biol Phys
January 2025
Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. Electronic address:
Background: Neoadjuvant chemoradiotherapy (nCRT) followed by surgical resection is the current standard of care for oesophageal cancer (EC) patients. This treatment is associated with a variety of complications, with pneumonia being the most common. We hypothesize that proton radiotherapy (PRT) can significantly reduce the incidence of pneumonia compared to photon radiotherapy (PhRT).
View Article and Find Full Text PDFJ Clin Med
December 2024
Physio-Pathology and Immunology Department, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
: With the development of artificial intelligence (A.I.), the optical coherence tomography angiography (OCTA) analysis of progression in hypertensive retinopathy could be improved.
View Article and Find Full Text PDFHealth Inf Sci Syst
December 2025
Division of Software, Yonsei University, Mirae Campus, Yeonsedae-gil 1, Wonju-si, 26493 Gangwon-do Korea.
Purpose: Drug repositioning, a strategy that repurposes already-approved drugs for novel therapeutic applications, provides a faster and more cost-effective alternative to traditional drug discovery. Network-based models have been adopted by many computational methodologies, especially those that use graph neural networks to predict drug-disease associations. However, these techniques frequently overlook the quality of the input network, which is a critical factor for achieving accurate predictions.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!