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      • A HYBRID MULTILEVEL/GENETIC APPROACH FOR CIRCUIT PARTITIONING

        Alpert, Charles J.,Hagen, Lars W.,Kahng, Andrew B. 대한전자공학회 1996 APCCAS:Asia Pacific Conference on Circuits And Sys Vol.1 No.1

        We present a multilevel/genetic circuit partitioning algorithm that utilizes the Metis graph partitioning package 13, which had been previously applied to finite-element graphs. Our new technique produces better results than Metis alone, and also produces bipartitionings that are competitive with the recent methods of [17], [16] and [6] while using less CPU time.

      • KCI등재후보

        Emergency department point-of-care ultrasonography improves time to pericardiocentesis for clinically significant effusions

        Evan Avraham Alpert,Uri Amit,Larisa Guranda,Rafea Mahagna,Shamai A. Grossman,Ariel Bentancur 대한응급의학회 2017 Clinical and Experimental Emergency Medicine Vol.4 No.3

        Objective Our objective was to determine the utility of point-of-care ultrasound (POCUS) to identify and guide treatment of tamponade or clinically significant pericardial effusions in the emergency department (ED). Methods This was a retrospective cohort study of non-trauma patients who were diagnosed with large pericardial effusions or tamponade by the ED physician using POCUS. The control group was composed of those patients later diagnosed on the medical wards or incidentally in the ED by other means such as a computed tomography. The following data were abstracted from the patient’s file: demographics, medical background, electrocardiogram results, chest radiograph readings, echocardiogram results, and patient outcomes. Results There were 18 patients in the POCUS arm and 55 in the control group. The POCUS arm had a decreased time to pericardiocentesis (11.3 vs. 70.2 hours, P=0.055) as well as a shorter length of stay (5.1 vs. 7.0 days, P=0.222). A decreased volume of pericardial fluid was drained (661 vs. 826 mL, P=0.139) in the group diagnosed by POCUS. Conclusion This study suggests that POCUS may effectively identify pericardial effusions and guide appropriate treatment, leading to a decreased time to pericardiocentesis and decreased length of hospital stay. Pericardial tamponade or a large pericardial effusion should be considered in all patients presenting to the ED with clinical, radiographic, or electrocardiographic signs of cardiovascular compromise.

      • Bias Atlases for Segmentation-Based PET Attenuation Correction Using PET-CT and MR

        Jinsong Ouyang,Se Young Chun,Petibon, Yoann,Bonab, Ali A.,Alpert, Nathaniel,El Fakhri, Georges IEEE 2013 IEEE transactions on nuclear science Vol.60 No.5

        <P>This study was to obtain voxel-wise PET accuracy and precision using tissue-segmentation for attenuation correction. We applied multiple thresholds to the CTs of 23 patients to classify tissues. For six of the 23 patients, MR images were also acquired. The MR fat/in-phase ratio images were used for fat segmentation. Segmented tissue classes were used to create attenuation maps, which were used for attenuation correction in PET reconstruction. PET bias images were then computed using the PET reconstructed with the original CT as the reference. We registered the CTs for all the patients and transformed the corresponding bias images accordingly. We then obtained the mean and standard deviation bias atlas using all the registered bias images. Our CT-based study shows that four-class segmentation (air, lungs, fat, other tissues), which is available on most PET-MR scanners, yields 15.1%, 4.1%, 6.6%, and 12.9% RMSE bias in lungs, fat, non-fat soft-tissues, and bones, respectively. An accurate fat identification is achievable using fat/in-phase MR images. Furthermore, we have found that three-class segmentation (air, lungs, other tissues) yields less than 5% standard deviation of bias within the heart, liver, and kidneys. This implies that three-class segmentation can be sufficient to achieve small variation of bias for imaging these three organs. Finally, we have found that inter- and intra-patient lung density variations contribute almost equally to the overall standard deviation of bias within the lungs.</P>

      • Genomic Heterogeneity as a Barrier to Precision Medicine in Gastroesophageal Adenocarcinoma

        Pectasides, Eirini,Stachler, Matthew D.,Derks, Sarah,Liu, Yang,Maron, Steven,Islam, Mirazul,Alpert, Lindsay,Kwak, Heewon,Kindler, Hedy,Polite, Blase,Sharma, Manish R.,Allen, Kenisha,O'Day, Emily,Lomni American Association for Cancer Research 2018 Cancer discovery Vol.8 No.1

        <P>Heterogeneity of actionable genomic alterations among primary and metastatic lesions suggests that biomarker profiling of a single primary tumor site may limit the success of targeted therapy in gastroesophageal adenocarcinoma.</P><P>Gastroesophageal adenocarcinoma (GEA) is a lethal disease where targeted therapies, even when guided by genomic biomarkers, have had limited efficacy. A potential reason for the failure of such therapies is that genomic profiling results could commonly differ between the primary and metastatic tumors. To evaluate genomic heterogeneity, we sequenced paired primary GEA and synchronous metastatic lesions across multiple cohorts, finding extensive differences in genomic alterations, including discrepancies in potentially clinically relevant alterations. Multiregion sequencing showed significant discrepancy within the primary tumor (PT) and between the PT and disseminated disease, with oncogene amplification profiles commonly discordant. In addition, a pilot analysis of cell-free DNA (cfDNA) sequencing demonstrated the feasibility of detecting genomic amplifications not detected in PT sampling. Lastly, we profiled paired primary tumors, metastatic tumors, and cfDNA from patients enrolled in the personalized antibodies for GEA (PANGEA) trial of targeted therapies in GEA and found that genomic biomarkers were recurrently discrepant between the PT and untreated metastases. Divergent primary and metastatic tissue profiling led to treatment reassignment in 32% (9/28) of patients. In discordant primary and metastatic lesions, we found 87.5% concordance for targetable alterations in metastatic tissue and cfDNA, suggesting the potential for cfDNA profiling to enhance selection of therapy.</P><P><B>Significance:</B> We demonstrate frequent baseline heterogeneity in targetable genomic alterations in GEA, indicating that current tissue sampling practices for biomarker testing do not effectively guide precision medicine in this disease and that routine profiling of metastatic lesions and/or cfDNA should be systematically evaluated. <I>Cancer Discov; 8(1); 37–48. ©2017 AACR.</I></P><P><I>See related commentary by Sundar and Tan, p. 14</I>.</P><P><I>See related article by Janjigian et al., p. 49</I>.</P><P><I>This article is highlighted in the In This Issue feature, p. 1</I></P>

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