Endoscopic 3-Dimensional OCT-Guided Brachytherapy for Early-Stage Pancreatic Cancers

2016 ◽  
Vol 96 (2) ◽  
pp. S167-S168 ◽  
Author(s):  
L. Lu ◽  
Z. Hu ◽  
W. Frankel ◽  
M. Dillhoff ◽  
J.C. Grecula ◽  
...  
2018 ◽  
Author(s):  
Francois Collin ◽  
Yuhong Ning ◽  
Tierney Phillips ◽  
Erin McCarthy ◽  
Aaron Scott ◽  
...  

AbstractPancreatic cancers are typically diagnosed at late stage where disease prognosis is poor as exemplified by a 5-year survival rate of 8.2%. Earlier diagnosis would be beneficial by enabling surgical resection or earlier application of therapeutic regimens. We investigated the detection of pancreatic ductal adenocarcinoma (PDAC) in a non-invasive manner by interrogating changes in 5-hydroxymethylation cytosine status (5hmC) of circulating cell free DNA in the plasma of a PDAC cohort (n=51) in comparison with a non-cancer cohort (n=41). We found that 5hmC sites are enriched in a disease and stage specific manner in exons, 3’UTRs and transcription termination sites. Our data show that 5hmC density is reduced in promoters and histone H3K4me3-associated sites with progressive disease suggesting increased transcriptional activity. 5hmC density is differentially represented in thousands of genes, and a stringently filtered set of the most significant genes points to biology related to pancreas (GATA4, GATA6, PROX1, ONECUT1) and/or cancer development (YAP1, TEAD1, PROX1, ONECUT1, ONECUT2, IGF1 and IGF2). Regularized regression models were built using 5hmC densities in statistically filtered genes or a comprehensive set of highly variable 5hmC counts in genes and performed with an AUC = 0.94-0.96 on training data. We were able to test the ability to classify PDAC and non-cancer samples with the Elastic net and Lasso models on two external pancreatic cancer 5hmC data sets and found validation performance to be AUC = 0.74-0.97. The findings suggest that 5hmC changes enable classification of PDAC patients with high fidelity and are worthy of further investigation on larger cohorts of patient samples.


2017 ◽  
Author(s):  
Yì Xiáng J. Wáng ◽  
Min Deng ◽  
Yáo T. Li ◽  
Hua Huang ◽  
Jason Chi Shun Leung ◽  
...  

AbstractThis study investigated a combined use of IVIM parameters Dslow (D), PF (f) and Dfast (D*) for liver fibrosis evaluation. 16 healthy volunteers (F0) and 33 hepatitis-b patients (stage F1= 15, stage F2-4 = 18) were included. With a 1.5-T MR scanner and respiration-gating, IVIM diffusion weighted imaging was acquired using a single-shot echo-planar imaging sequence with ten b-values of 10, 20, 40, 60, 80, 100, 150, 200, 400, and 800 s/mm2. Signal measurement was performed on right liver parenchyma. With a 3-dimensional tool, Dslow, PF, and Dfast values were placed along the x-axis, y-axis, and z-axis, and a plane was defined to separate healthy volunteers from patients. 3-dimensional tool demonstrated healthy volunteers and all patients with liver fibrosis could be separated. Classification and Regression Tree showed a combination of PF (PF < 12.55%), Dslow (Dslow < 1.152 ×10−3 mm2/s) and Dfast (Dfast <13.36 ×10−3 mm2/s) could differentiate healthy subjects and all fibrotic livers (F1-F4) with an area under the curve of logistic regression (AUC) of 0.986. The AUC for differentiation of healthy livers vs. F2-4 livers was 1. PF offered the best diagnostic value, followed by Dslow; however, all three parameters of PF, Dslow, and Dfast contributed to liver fibrosis detection.


2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
CS Park

Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): The Korean Society of Hypertension Background We studied the association between the exaggerated morning blood pressure (BP) surge and cardiac function evaluated by 3-dimensional echocardiography in naïve hypertensive patient.  Methods and results We studied longitudinal, circumferential and principal strain as well as torsion in 163 naïve hypertensive patients in whom ambulatory BP monitoring was performed. The morning surge (MS) was calculated as mean systolic BP during the 2 hours after awakening minus mean systolic BP during 1 hour included the lowest sleep BP. Patients were divided into 2 groups (MS 25 percentile). There were no differences of left ventricular ejection fraction between the groups (MS: no MS, 62.0 ± 2.4: 62.2 ± 3.3, p = 0.807) but global longitudinal (MS: no MS, -21.2 ± 1.7: -22.0 ± 2.3, p = 0.072), circumferential (MS: no MS, -30.1 ± 2.0: -31.1 ± 2.7, p = 0.045), principal strain (MS: no MS, -33.9 ± 1.7: -35.5 ± 2.8, p &lt; 0.001), twist(MS: no MS, 9.6 ± 6.1: 12.1 ± 4.8, p = 0.011) and torsion (MS: no MS, 1.23 ± 0.78: 1.49 ± 0.62, p = 0.042) were different between the groups. We also divided the groups into four according to the degree of morning surge and 4th quartile group showed more decreased cardiac functions. Conclusion Left ventricular mechanical parameters deteriorate from the very early stage of hypertension in the patients with morning surge. And it is more exaggerated in the higher morning blood pressure elevation group. Abstract Figure.


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