Purpose: To determine the false-positive rates (FPR) associated with screening for trisomy 18/13 using first-trimester combined screening (FTCS) and an ultrasound plus cfDNA-based approach (US-cfDNA), which includes a detailed ultrasound examination, a cfDNA analysis and a FTCS reflex backup test for cases with uninformative results.
Methods: This is a sub-analysis of a randomized controlled trial, which was performed between 2015 and 2016. Pregnant women with a normal first-trimester ultrasound examination at 11-13 weeks' gestation (NT < 3.5 mm, no anomalies) were randomized into two groups: FTCS and US-cfDNA screening. The overall FPR in screening for trisomies 18/13 and 21 was compared with the FPR in screening for trisomy 21 alone. Pregnancies were considered screen positive if the risk for trisomy 21 was 1:100 and for trisomy 18 and 13, 1:20 each.
Results: The study population consisted of 688 pregnancies in each study arm. In the FCTS group, median delta NT was 0.0 mm, free beta-hCG and PAPP-A 0.96 and 1.11 MoM. In the US-cfDNA group, median delta NT was 0.0 mm. In 10 pregnancies, the cfDNA analysis was uninformative. In the FTCS and in the US-cfDNA group, the FPR in screening for trisomy 21 was 2.5% and 0%. In both groups, the overall FPR was not increased by adding screening algorithms for trisomies 18 and 13.
Conclusion: In conclusion, the addition of screening for trisomies 18 and 13 to screening for trisomy 21 does not significantly change FPR. This is true for both the FTCS and the US-cfDNA-based approach.
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http://dx.doi.org/10.1007/s00404-018-4983-2 | DOI Listing |
Diagnostics (Basel)
January 2025
Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan.
Detective flow imaging (DFI) endoscopic ultrasonography (EUS) can identify the microvascular flow imaging of a mural nodule (MN) in an intraductal papillary mucinous neoplasm (IPMN) without the use of contrast agents. This retrospective study evaluated the diagnostic accuracy of DFI-EUS and its ability to evaluate the blood flow of MNs in IPMNs. Between April 2021 and September 2023, 68 patients with MNs in IPMNs observed on EUS images were retrospectively analyzed.
View Article and Find Full Text PDFAcad Emerg Med
January 2025
Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Background: Prehospital emergencies require providers to rapidly identify patients' medical condition and determine treatment needs. We tested whether medics' initial, written impressions of patient condition contain information that can help identify patients who require prehospital lifesaving interventions (LSI) prior to or during transport.
Methods: We analyzed free-text medic impressions of prehospital patients encountered at the scene of an accident or injury, using data from STAT MedEvac air medical transport service from 2012 to 2021.
Gastroenterology
January 2025
Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Background & Aims: This study aimed to compare ultrasonography (US) and non-contrast magnetic resonance imaging (MRI) in the surveillance of hepatic malignancy.
Methods: We conducted a randomized, non-blinded, single-center trial at a single center in South Korea. Eligible individuals were aged 20-70 years with liver cirrhosis, Child-Pugh class A, and no history of liver cancer or other recent malignancy.
Tomography
January 2025
Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Objectives: Accurate kidney and tumor segmentation of computed tomography (CT) scans is vital for diagnosis and treatment, but manual methods are time-consuming and inconsistent, highlighting the value of AI automation. This study develops a fully automated AI model using vision transformers (ViTs) and convolutional neural networks (CNNs) to detect and segment kidneys and kidney tumors in Contrast-Enhanced (CECT) scans, with a focus on improving sensitivity for small, indistinct tumors.
Methods: The segmentation framework employs a ViT-based model for the kidney organ, followed by a 3D UNet model with enhanced connections and attention mechanisms for tumor detection and segmentation.
Prog Transplant
January 2025
Department of Surgery, Rush University Medical Center, University Transplant Program, Chicago, IL, USA.
Introduction: There is a need for a noninvasive, affordable, sensitive, and specific biomarker to diagnose early acute rejection, to negate the need for frequent biopsies. Dd-cfDNA is a powerful adjunct yet there is limited data on the ethnic differences in its values. There is anecdotal evidence that dd-cfDNA values at rejection may be higher in Black as compared to non-Black recipients.
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