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Arriagada G, Quezada J, Merino-Veliz N, Avilés F, Tapia-Cammas D, Gomez J, Curotto D, Valdes JA, Oyarzún PA, Gallardo-Escárate C, Metzger MJ, Alvarez M. Identification and expression analysis of two steamer-like retrotransposons in the Chilean blue mussel (Mytilus chilensis). Biol Res 2024; 57:17. [PMID: 38664786 PMCID: PMC11046912 DOI: 10.1186/s40659-024-00498-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Disseminated neoplasia (DN) is a proliferative cell disorder of the circulatory system of bivalve mollusks. The disease is transmitted between individuals and can also be induced by external chemical agents such as bromodeoxyuridine. In Mya arenaria, we have cloned and characterized an LTR-retrotransposon named Steamer. Steamer mRNA levels and gene copy number correlates with DN and can be used as a marker of the disease. So far, the only mollusk where a retrotransposon expression relates to DN is Mya arenaria. On the other hand, it has been reported that the Chilean blue mussel Mytilus chilensis can also suffers DN. Our aim was to identify retrotransposons in Mytilus chilensis and to study their expression levels in the context of disseminated neoplasia. RESULTS Here we show that 7.1% of individuals collected in August 2018, from two farming areas, presents morphological characteristics described in DN. Using Steamer sequence to interrogate the transcriptome of M. chilensis we found two putative retrotransposons, named Steamer-like elements (MchSLEs). MchSLEs are present in the genome of M. chilensis and MchSLE1 is indeed an LTR-retrotransposon. Neither expression, nor copy number of the reported MchSLEs correlate with DN status but both are expressed at different levels among individual animals. We also report that in cultured M. chilensis haemocytes MchSLEs1 expression can be induced by bromodeoxyuridine. CONCLUSIONS We conclude that SLEs present in Mytilus chilensis are differentially expressed among individuals and do not correlate with disseminated neoplasia. Treatment of haemocytes with a stressor like bromodeoxyuridine induces expression of MchSLE1 suggesting that in Mytilus chilensis environmental stressors can induce activation of LTR-retrotransposon.
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Affiliation(s)
- Gloria Arriagada
- Instituto de Ciencias Biomédicas, Facultad de Medicina y Facultad de Ciencias de la Vida, Universidad Andres Bello, Santiago, Chile.
| | - Johan Quezada
- Instituto de Ciencias Biomédicas, Facultad de Medicina y Facultad de Ciencias de la Vida, Universidad Andres Bello, Santiago, Chile
| | - Nicolas Merino-Veliz
- Instituto de Ciencias Biomédicas, Facultad de Medicina y Facultad de Ciencias de la Vida, Universidad Andres Bello, Santiago, Chile
| | - Fernando Avilés
- Instituto de Ciencias Biomédicas, Facultad de Medicina y Facultad de Ciencias de la Vida, Universidad Andres Bello, Santiago, Chile
| | - Diana Tapia-Cammas
- Instituto de Ciencias Biomédicas, Facultad de Medicina y Facultad de Ciencias de la Vida, Universidad Andres Bello, Santiago, Chile
| | - Jorge Gomez
- Instituto de Ciencias Biomédicas, Facultad de Medicina y Facultad de Ciencias de la Vida, Universidad Andres Bello, Santiago, Chile
| | - Daniela Curotto
- Instituto de Ciencias Biomédicas, Facultad de Medicina y Facultad de Ciencias de la Vida, Universidad Andres Bello, Santiago, Chile
| | - Juan A Valdes
- Departamento de Ciencias Biológicas, Facultad de Ciencias de la Vida, Universidad Andres Bello, Santiago, Chile
- Interdisciplinary Center for Aquaculture Research (INCAR), University of Concepción, Concepción, Chile
| | - Pablo A Oyarzún
- Centro de Investigación Marina Quintay (CIMARQ), Universidad Andres Bello, Quintay, Chile
| | | | | | - Marco Alvarez
- Departamento de Ciencias Biológicas, Facultad de Ciencias de la Vida, Universidad Andres Bello, Santiago, Chile
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Gomez J, Velázquez FR, Guzman-Holst A, Cervantes Apolinar MY, Van Bellinghen LA, Van Vlaenderen I, van Oorschot D. Cost-effectiveness analysis measuring the total costs against the health benefits of three different rotavirus vaccines for Mexico. Hum Vaccin Immunother 2023:2219189. [PMID: 37339232 DOI: 10.1080/21645515.2023.2219189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 05/05/2023] [Accepted: 05/23/2023] [Indexed: 06/22/2023] Open
Abstract
Rotavirus (RV) infection causes acute rotavirus gastroenteritis (RVGE) in infants. Safe and effective RV vaccines are available, of which Mexico has included one in its national immunization program (NIP) since 2007. Health outcome gains, expressed in quality-adjusted life years (QALYs), and cost improvements are important additional factors for the selection of a NIP vaccine. These two factors were analyzed here for Mexico over one year implementing three RV vaccines: 2-dose Rotarix (HRV), versus 3-dose RotaTeq (HBRV), and 3-dose Rotasiil (BRV-PV), presented in a 1-dose or 2-dose vial). HRV would annually result in discounted QALY gains of 263 extra years compared with the other vaccines by averting an extra 24,022 homecare cases, 10779 medical visits, 392 hospitalizations, and 12 deaths. From a payer's perspective and compared with HRV, BRV-PV 2-dose vial and BRV-PV 1-dose vial would annually result in $13.5 million and $4.6 million net savings, respectively, while HBRV would result in $3.4 million extra costs. The societal perspective may also show savings compared with HRV for BRV-PV 2-dose vial of $4.9 million, while BRV-PV 1-dose vial and HBRV may show extra costs of $4.0 million and $12.1 million respectively. HRV and HBRV were both approved in Mexico, with HRV requiring less investment than HBRV with higher QALY gains and cost savings. The HRV vaccine produced those higher health gains due to its earlier protection and greater coverage achieved after its schedule completion with two doses only, providing full protection at four months of age instead of longer periods for the other vaccines.
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Bardach A, Alconada T, Palermo C, Rojas-Roque C, Sandoval MM, Gomez J, Pinto T, Ciapponi A. Burden of Disease of Gonorrhoea in Latin America: Systematic Review and Meta-analysis. Infect Dis Ther 2023:10.1007/s40121-023-00814-0. [PMID: 37261611 DOI: 10.1007/s40121-023-00814-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 04/19/2023] [Indexed: 06/02/2023] Open
Abstract
INTRODUCTION Neisseria gonorrhoeae causes gonorrhoea, a globally neglected but increasing disease. This systematic review and meta-analysis reviewed the epidemiology and economic burden of gonorrhoea in Latin America and the Caribbean (LAC). METHODS We searched PubMed, EMBase, Cochrane Library, EconLIT, CINAHL, CRD, LILACS, Global Health, Global Dissertations and Theses, SciELO, Web of Science databases, countries' ministries of health, and the IHME's Global Burden of Disease databases. Studies published in the last 10 years (20 years for economic studies) were included if conducted in any LAC country, without language restrictions. The main outcome measures were incidence/prevalence, proportion of co-infections, case fatality rates, specific mortality/hospitalisation rates, direct/indirect costs, and impact of gonorrhoea on quality of life. To assess evidence quality, we used a checklist developed by the US National Heart, Lung, and Blood Institute for observational studies and trial control arms, the Cochrane Effective Practice Organization of Care Group tool for randomised controlled trials, and the CICERO checklist for economic studies. RESULTS We identified 1290 articles; 115 included epidemiological studies and one included an economic study. Ministry of health data from Argentina, Brazil, Chile, Colombia, Mexico, and Uruguay were identified. Gonorrhoea prevalence was 1.46% (95% confidence interval [CI] 1.00-2.00%) from 48 studies and 5.68% (95% CI 4.23-7.32%) from 58 studies for non-high-risk and high-risk populations, respectively. Cumulative incidence for the high-risk population was 2.05 cases per 100 persons/year. Few published studies were rated as "good" in the risk of bias assessments. Variations in the methodology of the sources and limited information found in the countries' surveillance systems hinder the comparison of data. CONCLUSION The burden of gonorrhoea in LAC is not negligible. Our results provide public health and clinical decision support to assess potential interventions to prevent gonorrhoea. TRIAL REGISTRATION The protocol is registered on PROSPERO (CRD42021253342). The study was funded by GlaxoSmithKline Biologicals SA (GSK study identifier VEO-000025).
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Affiliation(s)
- Ariel Bardach
- Institute for Clinical Effectiveness and Health Policy, Dr Emilio Ravignani 2024, C1014CPV, Buenos Aires, Argentina
| | - Tomás Alconada
- Institute for Clinical Effectiveness and Health Policy, Dr Emilio Ravignani 2024, C1014CPV, Buenos Aires, Argentina
| | - Carolina Palermo
- Institute for Clinical Effectiveness and Health Policy, Dr Emilio Ravignani 2024, C1014CPV, Buenos Aires, Argentina
| | - Carlos Rojas-Roque
- Institute for Clinical Effectiveness and Health Policy, Dr Emilio Ravignani 2024, C1014CPV, Buenos Aires, Argentina
| | - María Macarena Sandoval
- Institute for Clinical Effectiveness and Health Policy, Dr Emilio Ravignani 2024, C1014CPV, Buenos Aires, Argentina
| | | | | | - Agustin Ciapponi
- Institute for Clinical Effectiveness and Health Policy, Dr Emilio Ravignani 2024, C1014CPV, Buenos Aires, Argentina.
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Arango J, Aristizabal V, Vélez F, Carrasquilla J, Gomez J, Quijano J, Herrera-Ramirez J. Synthetic dataset of speckle images for fiber optic temperature sensor. Data Brief 2023; 48:109134. [PMID: 37122920 PMCID: PMC10139894 DOI: 10.1016/j.dib.2023.109134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 03/07/2023] [Accepted: 03/30/2023] [Indexed: 05/02/2023] Open
Abstract
The published data correspond to images of simulated specklegrams, which result from the calculation of the modal interference that occurs in a multimode optical fiber. These have a characteristic pattern due to the constructive or destructive interference between the light modes depending on their phase differences. The specklegram contains valuable information since the propagation of the modes varies according to the influence of some external disturbances, and therefore, the speckle pattern changes. This dataset contains specklegrams that vary according to the temperature. These data have been obtained by simulation using the finite element method (FEM) through the COMSOL multiphysics platform. In the simulation, the vector wave equation is solved, and the refractive index of the fiber is recalculated due to the temperature change. We simulated a 1490 nm wavelength laser, an optical fiber with a core diameter of 50 µm and cladding diameter of 125 µm. The dataset contains specklegrams covering the range of temperatures from 0°C to 120°C in 0.2°C steps.
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Affiliation(s)
- Juan Arango
- Instituto Tecnológico Metropolitano, Engineering Faculty, Medellín, Colombia
- Corresponding author.
| | - Victor Aristizabal
- Universidad Cooperativa de Colombia, Engineering Faculty, Medellín, Colombia. PhD Student EAFIT University
| | - Francisco Vélez
- Universidad Cooperativa de Colombia, Engineering Faculty, Medellín, Colombia. PhD Student EAFIT University
| | - Juan Carrasquilla
- Vector Institute, MaRS Centre, Toronto, ON M5G 1M1, Canada
- University of Waterloo, Department of Physics and Astronomy, ON N2L 3G1, Canada
| | - Jorge Gomez
- Politécnico Colombiano Jaime Isaza Cadavid, Basic Science Faculty, Medellín, Colombia
| | - Jairo Quijano
- Politécnico Colombiano Jaime Isaza Cadavid, Basic Science Faculty, Medellín, Colombia
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Tello D, Gonzalez-Garcia LN, Gomez J, Zuluaga-Monares JC, Garcia R, Angel R, Mahecha D, Duarte E, Leon MDR, Reyes F, Escobar-Velásquez C, Linares-Vásquez M, Cardozo N, Duitama J. NGSEP 4: Efficient and accurate identification of orthogroups and whole-genome alignment. Mol Ecol Resour 2023; 23:712-724. [PMID: 36377253 DOI: 10.1111/1755-0998.13737] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 10/26/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022]
Abstract
Whole-genome alignment allows researchers to understand the genomic structure and variation among genomes. Approaches based on direct pairwise comparisons of DNA sequences require large computational capacities. As a consequence, pipelines combining tools for orthologous gene identification and synteny have been developed. In this manuscript, we present the latest functionalities implemented in NGSEP 4, to identify orthogroups and perform whole genome alignments. NGSEP implements functionalities for identification of clusters of homologus genes, synteny analysis and whole genome alignment. Our results showed that the NGSEP algorithm for orthogroups identification has competitive accuracy and efficiency in comparison to commonly used tools. The implementation also includes a visualization of the whole genome alignment based on synteny of the orthogroups that were identified, and a reconstruction of the pangenome based on frequencies of the orthogroups among the genomes. NGSEP 4 also includes a new graphical user interface based on the JavaFX technology. We expect that these new developments will be very useful for several studies in evolutionary biology and population genomics.
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Affiliation(s)
- Daniel Tello
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | | | - Jorge Gomez
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | | | - Rogelio Garcia
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Ricardo Angel
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Daniel Mahecha
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Erick Duarte
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Maria Del Rosario Leon
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Fernando Reyes
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | | | - Mario Linares-Vásquez
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Nicolas Cardozo
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Jorge Duitama
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
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Cortes Montoya MC, Nati Castillo HA, Triviño J, Orozco Cano AS, Gonzalez Naranjo S, Caicedo Olaya JF, Amaya Amezquita JF, Ayala Girón KS, Losada L, Montes D, Pinto Valencia Y, Fama M, Cabeza N, Lora F, Gomez J. Prevalence of Intestinal Coccidia: First Description of Cyclosporidiosis Associated with Diarrhea in Children in Colombia. Int J Med Stud 2023. [DOI: 10.5195/ijms.2022.1794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023] Open
Abstract
Background: In Colombia, the studies about the etiology of acute diarrhea disease (ADD) in children by using standard stool culture techniques methods and DNA detection tools for intestinal virus show that viral origin was the most frequent, however still between 16 to 45% of the cases of unknown etiology. Specific staining techniques or high sensitivity molecular methods for the intestinal coccidia Cryptosporidium sp and Cyclospora sp have been not applied in the Colombian studies, for this reason, the current situation of these intestinal coccidia in Colombia as cause of diarrhea is unknown.
Objective: To estimate the frequency of Cryptosporidium sp. and Cyclospora sp. and to analyze the association between infection and clinical manifestations on children with acute diarrhea consulting the pediatrics emergency service of a third level Hospital.
Methods: An observational descriptive study was performed in 150 children that consulted the emergency service at the Hospital San Juan de Dios in Armenia, Colombia, in the period between April 1st and May 31st of 2022. We applied questionnaires and collected primary data from clinical records of children, as well as stool samples of each child after receiving informed consent from the parents and/or legal guardian of the minors. To identify the pathogenic intestinal coccidia (Cryptosporidium sp. and Cyclospora sp.), we used stool fresh preparations with 1% iodine and stained by a modified Ziehl Nielsen coloration protocol (Kinyoun stain). Samples were examined by expert microbiologists on a light microscope with a 40x objective. Prevalence and odds ratios were estimated. For statistical analysis differences in proportions among groups were compared via the X2 test and Fisher exact test. For non-parametric data, differences of means between two groups were analyzed through a Kruskall-Wallis test. Differences of medians were analyzed via Kruskal-Wallis test for non-parametric variables and analysis of variance (ANOVA) for parametric variables; statistical significance was considered when p ≤ 0.05. Statistical calculations were made by using software factors in Epi Info 7.2 Epi-Info version 3.5.1 (CDC, Atlanta).
Results: The prevalence of infection in the children that went to the urgency service was of 19,7% by Cryptosporidium sp. and 10,9% by Cyclospora sp. The 59,2% of children with cryptosporidiosis and 66,6% of children with cyclosporidiosis were hospitalized. There was a statistically significant association between the presence of parasite in stools and fever in cyclosporidiosis (93,3% of children with cyclosporidiosis vs. 56% by other causes, OR 10,7 IC95% 1,3-84; p= 0,004).
Conclusions: The study results indicate the need to use specific diagnostic techniques to identify Cryptosporidium sp and Cyclospora sp in children with diarrhea, because they are frequent and are treatable with specific antiparasitic medication. We recommend that its search should be done systematically.
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Gomez J, Barzallo P, Mehrotra A. A CASE OF APIXABAN-INDUCED SKIN NECROSIS. J Am Coll Cardiol 2023. [DOI: 10.1016/s0735-1097(23)04333-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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Weyh A, Gomez J, Kashat K, Fernandes R, Bunnell A. Self-inflicted craniomaxillofacial gunshot wounds: management, reconstruction, and outcomes. Int J Oral Maxillofac Surg 2023; 52:334-342. [PMID: 35773056 DOI: 10.1016/j.ijom.2022.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 06/07/2022] [Accepted: 06/09/2022] [Indexed: 11/30/2022]
Abstract
Suicide by firearm remains one of the leading causes of violence-related injury death in the United States each year. The mortality rate from these injuries is high, resulting in a paucity of outcome data in the literature regarding injuries to the maxillofacial region. This has largely been attributed to a lack of funding for research in this area compared to other leading causes of mortality in the United States. The aim of this study was to detail the authors' experience and approach to complex maxillofacial reconstruction using both local reconstructive methods and microvascular free tissue transfer. A retrospective cohort study was designed, including patients who sustained self-inflicted gunshot wounds to the maxillofacial region between January 1, 2012 and May 1, 2020. Forty-one patients met the inclusion criteria. The majority of the patients were male (87.8%). Mean patient age was 44.2 ± 16.6 years. Alcohol or drugs, and a psychiatric history were present in a majority of the cases. The most involved anatomical region was the midface (75.6% of cases). Seven patients required free tissue transfer for reconstruction, with many needing multiple flaps. Self-inflicted gunshot wounds represent challenging reconstruction scenarios, often in the setting of severe psychological trauma, and require a multidisciplinary team to ensure the optimal outcome.
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Affiliation(s)
- A Weyh
- Department of Oral and Maxillofacial Surgery, University of Florida Jacksonville, Jacksonville, FL, USA.
| | - J Gomez
- Department of Oral and Maxillofacial Surgery, Ascension Macomb-Oakland Hospital, Detroit, MI, USA.
| | - K Kashat
- Department of Oral and Maxillofacial Surgery, University of Florida Jacksonville, Jacksonville, FL, USA.
| | - R Fernandes
- Department of Oral and Maxillofacial Surgery, University of Florida Jacksonville, Jacksonville, FL, USA.
| | - A Bunnell
- Department of Oral and Maxillofacial Surgery, University of Florida Jacksonville, Jacksonville, FL, USA.
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Javier Balan D, Bardach A, Palermo C, Alconada T, Sandoval M, Nieto Guevara J, Gomez J, Ciapponi A. Economic burden of herpes zoster in Latin America: A systematic review and meta-analysis. Hum Vaccin Immunother 2022; 18:2131167. [PMID: 36519226 PMCID: PMC9794010 DOI: 10.1080/21645515.2022.2131167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
This systematic review describes herpes zoster (HZ) economic burden in terms of healthcare resource use and cost outcomes in the Latin America and Caribbean (LAC) region. We searched online databases from 1 January 2000 to 20 February 2020 to identify eligible publications. We identified 23 publications that reported direct costs, indirect costs, and resources associated with HZ and its complications. The primary direct medical resources reported in the different studies were visits to doctors, transportation, days in the hospital, nursing, medication schedules, and physical therapy. Direct total costs per patient ranged from $99.99 to $4177.91. The highest cost was found in Brazil. Direct costs are, in average, 81.39% higher than indirect costs. The cost per patient that includes postherpetic neuralgia treatment is 115% higher on average for the directs and 73% for the indirect costs. Brazil reported a higher total cost per patient than Argentina and Mexico, while for indirect costs per patient, Brazil and Argentina had higher costs than Mexico, respectively. A meta-analysis on the number of days due to HZ hospitalization, performed on non-immunosuppressed patients over 65 years of age from three studies, resulted in a cumulative measure of 4.5 days of hospitalization. In the LAC region, the economic burden of HZ and associated complications is high, particularly among high-risk populations and older age groups. Preventative strategies such as vaccination could help avoid or reduce the HZ-associated disease economic burden in the LAC region.
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Affiliation(s)
- Dario Javier Balan
- Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina
| | - Ariel Bardach
- Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina
| | - Carolina Palermo
- Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina
| | - Tomás Alconada
- Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina
| | - Macarena Sandoval
- Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina
| | | | | | - Agustin Ciapponi
- Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina,CONTACT Agustin Ciapponi Instituto de Efectividad Clínica y Sanitaria (IECS), Dr. Emilio Ravignani 2024 (C1014CPV), Buenos Aires, Argentina
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Vipparthy SC, Gomez J, Mehrotra AK. Zero-fluoroscopy pulmonary vein isolation with intracardiac echocardiography to monitor fetus in pregnant patient with atrial fibrillation. HeartRhythm Case Rep 2022; 9:76-79. [PMID: 36860745 PMCID: PMC9968899 DOI: 10.1016/j.hrcr.2022.10.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Affiliation(s)
- Sharath C. Vipparthy
- Rush University Medical Centre, Chicago, Illinois,Address reprint requests and correspondence: Dr Sharath C. Vipparthy, 1105 W Vernon Pk Pl, Unit C, Chicago, IL 60607.
| | - Jorge Gomez
- University of Illinois College of Medicine at Peoria, Peoria, Illinois
| | - Amit K. Mehrotra
- University of Illinois College of Medicine at Peoria, Peoria, Illinois
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Velagapudi S, Sharma B, Hussain K, Sana MK, Kannayiram S, Murthi M, Khanal S, Gomez J. Speckle tracking echocardiography in patients with systemic sclerosis: a meta-analysis. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Myocardial dysfunction is well established in systemic sclerosis (SSc). The utility of standard echocardiography is limited to detect the onset of myocardial dysfunction. Speckle tracking echocardiography (STE) and strain imaging has emerged as a useful technique to quantify left ventricle hemodynamics and myocardial function in early stages of myocardial dysfunction. We aimed to systematically analyze the existing literature on the application of STE and strain analysis in identifying SSc associated myocardial dysfunction
Methods
PubMed, Cochrane, and Google Scholar were queried for studies from the inception of the databases to 2022. Case control studies that used 2D STE for assessment of strain in SSc patients and controls, were included for the analysis. PRISMA guidelines were followed for selections of studies. Two independent reviewers extracted data. Analysis was done using Cochrane Review Manager 5.0.
Results
Total of 19 studies were included in the analysis that compared strain analysis in SSc patient's vs healthy controls. Of the 16 studies that reported left ventricular (LV) global longitudinal strain, we found significantly lower LV global longitudinal strain in SSc patients (mean difference 1.92; 95% CI 0.98–2.87). Six studies reported LV circumferential strain which was noted to be lower in SSc patients compared to healthy controls (mean difference 3.55; 95% CI 1.60–5.51). Five studies reported LV global radial strain with a similar decrease in radial strain among SSc patients compared to controls (mean difference 4.39; 95% CI −6.95 to −1.83). 10 studies reported right ventricular longitudinal strain with a decrease in longitudinal strain in SSc patient's vs controls (mean difference 2.57; 95% CI 2.03–3.12).
Conclusions
SSc patients have lower strain values compared to controls, which is suggestive of an impaired myocardial function in left and right ventricle. Strain analysis by STE could help with early detection of myocardial dysfunction.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- S Velagapudi
- John H. Stroger Jr. Hospital of Cook County , Chicago , United States of America
| | - B Sharma
- John H. Stroger Jr. Hospital of Cook County , Chicago , United States of America
| | - K Hussain
- NorthShore University Health System , Chicago , United States of America
| | - M K Sana
- John H. Stroger Jr. Hospital of Cook County , Chicago , United States of America
| | - S Kannayiram
- John H. Stroger Jr. Hospital of Cook County , Chicago , United States of America
| | - M Murthi
- John H. Stroger Jr. Hospital of Cook County , Chicago , United States of America
| | - S Khanal
- John H. Stroger Jr. Hospital of Cook County , Chicago , United States of America
| | - J Gomez
- John H. Stroger Jr. Hospital of Cook County , Chicago , United States of America
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Malapelle U, Pisapia P, Pepe F, Russo G, Buono M, Russo A, Gomez J, Khorshid O, Mack PC, Rolfo C, Troncone G. The evolving role of liquid biopsy in lung cancer. Lung Cancer 2022; 172:53-64. [PMID: 35998482 DOI: 10.1016/j.lungcan.2022.08.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 07/22/2022] [Accepted: 08/05/2022] [Indexed: 12/20/2022]
Abstract
Liquid biopsy has revolutionized the management of cancer patients. In particular, liquid biopsy-based testing has proven to be highly beneficial for identifying actionable cancer markers, especially when solid tissue biopsies are insufficient or unattainable. Beyond the predictive role, liquid biopsy may be a useful tool for comprehensive tumor genotyping, identification of emergent resistance mechanisms, monitoring of minimal residual disease, early detection, and cancer interception. The application of next generation sequencing to liquid biopsy has led to the "quantum leap" of predictive molecular pathology. Here, we review the evolving role of liquid biopsy in lung cancer.
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Affiliation(s)
- Umberto Malapelle
- Department of Public Health, University of Naples Federico II, Naples, Italy.
| | - Pasquale Pisapia
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Francesco Pepe
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Gianluca Russo
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Mauro Buono
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | | | - Jorge Gomez
- Center for Thoracic Oncology, Tisch Cancer Institute, Mount Sinai Medical System & Icahn School of Medicine, New York, NY, USA
| | - Ola Khorshid
- National Cancer Institute, Cairo University, Cairo, Egypt
| | - Philip C Mack
- Center for Thoracic Oncology, Tisch Cancer Institute, Mount Sinai Medical System & Icahn School of Medicine, New York, NY, USA
| | - Christian Rolfo
- Center for Thoracic Oncology, Tisch Cancer Institute, Mount Sinai Medical System & Icahn School of Medicine, New York, NY, USA
| | - Giancarlo Troncone
- Department of Public Health, University of Naples Federico II, Naples, Italy
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Wang Q, Alpert N, Zhang Y, Tran J, Jiang C, Wang X, Gomez J, Wisnivesky J, Taioli E, Wolf A, Veluswamy R. EP07.01-002 Surgery in Stage I-III Malignant Pleural Mesothelioma: A Surveillance, Epidemiology, and End Results (SEER)- Medicare Analysis 1995-2015. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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14
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Fitzgerald BG, Marron TU, Sweeney R, Gomez J, Hall N, O'Grady D, Rolfo C, Veluswamy R, Doroshow D, Mandeli J, Yankelevitz D, Bhardwaj N, Gnjatic S, Hirsch FR, Merad M, Tsankov A, Flores R, Wolf A. Abstract CT205: A phase I/Ib trial of intratumoral Poly-ICLC in resectable malignant pleural mesothelioma. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-ct205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Malignant pleural mesothelioma (MPM) is usually fatal, though multimodality therapy— now including immunotherapy— has improved survival. Recurrence after surgery is close to 100%, even with adjuvant chemotherapy and radiation. Our collaborators have performed deep immunophenotyping of treatment-naïve MPM lesions using mass cytometry (CyTOF) and single-cell RNA sequencing (scRNAseq) to define the tumor microenvironment. A population of rare CD141+ dendritic cells (DC1) is disproportionately represented in some MPM lesions analyzed. These DC1 cells— which express high levels of Toll-like receptor 3 (TLR3)— are among the most potent cross-presenters of antigen and are key to priming anti-tumor CD4+ and CD8+ T cell responses. Polyinosinic-polycytidylic acid stabilized with polylysine and carboxymethylcellulose (poly-ICLC), is a double-stranded RNA host-targeted therapeutic viral-mimic. Poly-ICLC activates multiple innate immune receptors including TLR3 and melanoma differentiation-associated gene 5 (MDA5), leading to cross-presentation of antigen to T cells and induction of strong Th1 response. We hypothesize that injection of poly-ICLC prior to surgical resection may activate intratumoral (IT) DC1s, increase tumor antigen presentation to cytotoxic T cells, and induce tumor-specific immune surveillance.
Methods: This is a phase I/Ib study to evaluate the safety of IT poly-ICLC prior to surgical resection for patients with MPM (NCT04525859). The primary endpoint is safety as assessed by frequency and severity of toxicities by CTCAE 5.0. Secondary endpoints are objective response as measured by RECIST 1.1 and recurrence free survival measured from the time of first poly-ICLC injection. Exploratory endpoints include evaluation of circulating immune cells (including regulatory T cells and NK cells), evaluation of immune cell infiltration in pre-injection tumor biopsy and surgically resected tissue, as well as characterization of immune parameters such as local B cell specificity. The protocol features a Simon’s two-stage design, with six patients enrolled in a phase I safety cohort, proceeding to a phase Ib expansion cohort (additional 13 patients) if no more than 1 dose limiting toxicity occurs. Eligible patients must have MPM deemed operable by the treating thoracic surgeon. Eligible subjects may not have uncontrolled immunocompromised states or autoimmune disorders. After enrollment, patients undergo biopsies at which time 2mg poly-ICLC is injected across two sites in the tumor. Patients then undergo resection of the tumor (pleurectomy/decortication or extra pleural pneumonectomy per standard of care) at day 21+/- 7 after poly-ICLC injection. Blood is drawn at three points (prior to poly-ICLC injection, at time of surgery, and at a post-operative visit) for immune profiling. At the time of submission six patients have been treated and phase Ib accrual is continuing as planned. Interim analysis of phase I safety and exploratory endpoints will be reported in late 2022.
Citation Format: Bailey G. Fitzgerald, Thomas U. Marron, Robert Sweeney, Jorge Gomez, Nicole Hall, Daniel O'Grady, Christian Rolfo, Raj Veluswamy, Deborah Doroshow, John Mandeli, David Yankelevitz, Nina Bhardwaj, Sacha Gnjatic, Fred R. Hirsch, Miriam Merad, Alexander Tsankov, Raja Flores, Andrea Wolf. A phase I/Ib trial of intratumoral Poly-ICLC in resectable malignant pleural mesothelioma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr CT205.
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Affiliation(s)
- Bailey G. Fitzgerald
- 1Icahn School of Medicine at Mount Sinai, Division of Hematology and Medical Oncology, New York, NY
| | - Thomas U. Marron
- 1Icahn School of Medicine at Mount Sinai, Division of Hematology and Medical Oncology, New York, NY
| | - Robert Sweeney
- 2Icahn School of Medicine at Mount Sinai, Department of Immunology, New York, NY
| | - Jorge Gomez
- 1Icahn School of Medicine at Mount Sinai, Division of Hematology and Medical Oncology, New York, NY
| | - Nicole Hall
- 3Tisch Cancer Institute at Mount Sinai, New York, NY
| | | | - Christian Rolfo
- 1Icahn School of Medicine at Mount Sinai, Division of Hematology and Medical Oncology, New York, NY
| | - Raj Veluswamy
- 1Icahn School of Medicine at Mount Sinai, Division of Hematology and Medical Oncology, New York, NY
| | - Deborah Doroshow
- 1Icahn School of Medicine at Mount Sinai, Division of Hematology and Medical Oncology, New York, NY
| | - John Mandeli
- 4Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine & Public Health, New York, NY
| | - David Yankelevitz
- 5Icahn School of Medicine at Mount Sinai, Division of Diagnostic, Molecular and Interventional Radiology, New York, NY
| | - Nina Bhardwaj
- 2Icahn School of Medicine at Mount Sinai, Department of Immunology, New York, NY
| | - Sacha Gnjatic
- 2Icahn School of Medicine at Mount Sinai, Department of Immunology, New York, NY
| | - Fred R. Hirsch
- 1Icahn School of Medicine at Mount Sinai, Division of Hematology and Medical Oncology, New York, NY
| | - Miriam Merad
- 2Icahn School of Medicine at Mount Sinai, Department of Immunology, New York, NY
| | - Alexander Tsankov
- 6Icahn School of Medicine at Mount Sinai, Department of Genetics and Genomic Sciences, New York, NY
| | - Raja Flores
- 7Icahn School of Medicine at Mount Sinai, Division of Thoracic Surgery, New York, NY
| | - Andrea Wolf
- 7Icahn School of Medicine at Mount Sinai, Division of Thoracic Surgery, New York, NY
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15
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Silva P, Dahlke DV, Smith ML, Charles W, Gomez J, Ory MG, Ramos KS. An Idealized Clinicogenomic Registry to Engage Underrepresented Populations Using Innovative Technology. J Pers Med 2022; 12:jpm12050713. [PMID: 35629136 PMCID: PMC9144063 DOI: 10.3390/jpm12050713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 04/18/2022] [Accepted: 04/26/2022] [Indexed: 11/26/2022] Open
Abstract
Current best practices in tumor registries provide a glimpse into a limited time frame over the natural history of disease, usually a narrow window around diagnosis and biopsy. This creates challenges meeting public health and healthcare reimbursement policies that increasingly require robust documentation of long-term clinical trajectories, quality of life, and health economics outcomes. These challenges are amplified for underrepresented minority (URM) and other disadvantaged populations, who tend to view the institution of clinical research with skepticism. Participation gaps leave such populations underrepresented in clinical research and, importantly, in policy decisions about treatment choices and reimbursement, thus further augmenting health, social, and economic disparities. Cloud computing, mobile computing, digital ledgers, tokenization, and artificial intelligence technologies are powerful tools that promise to enhance longitudinal patient engagement across the natural history of disease. These tools also promise to enhance engagement by giving participants agency over their data and addressing a major impediment to research participation. This will only occur if these tools are available for use with all patients. Distributed ledger technologies (specifically blockchain) converge these tools and offer a significant element of trust that can be used to engage URM populations more substantively in clinical research. This is a crucial step toward linking composite cohorts for training and optimization of the artificial intelligence tools for enhancing public health in the future. The parameters of an idealized clinical genomic registry are presented.
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Affiliation(s)
- Patrick Silva
- Health Science Center, Texas A&M University, 8441 Riverside Pkwy, Bryan, TX 77807, USA; (J.G.); (K.S.R.)
- Correspondence: ; Tel.: +1-979-436-9055
| | - Deborah Vollmer Dahlke
- School of Public Health, Texas A&M Health Science Center, 212 Adriance Lab Rd., College Station, TX 77843, USA; (D.V.D.); (M.L.S.); (M.G.O.)
| | - Matthew Lee Smith
- School of Public Health, Texas A&M Health Science Center, 212 Adriance Lab Rd., College Station, TX 77843, USA; (D.V.D.); (M.L.S.); (M.G.O.)
| | - Wendy Charles
- BurstIQ, 9635 Maroon Circle, #310, Englewood, CO 80112, USA;
| | - Jorge Gomez
- Health Science Center, Texas A&M University, 8441 Riverside Pkwy, Bryan, TX 77807, USA; (J.G.); (K.S.R.)
| | - Marcia G. Ory
- School of Public Health, Texas A&M Health Science Center, 212 Adriance Lab Rd., College Station, TX 77843, USA; (D.V.D.); (M.L.S.); (M.G.O.)
| | - Kenneth S. Ramos
- Health Science Center, Texas A&M University, 8441 Riverside Pkwy, Bryan, TX 77807, USA; (J.G.); (K.S.R.)
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16
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Abrams D, Albataineh H, Aljawrneh BS, Alsalmi S, Androic D, Aniol K, Armstrong W, Arrington J, Atac H, Averett T, Gayoso CA, Bai X, Bane J, Barcus S, Beck A, Bellini V, Bhatt H, Bhetuwal D, Biswas D, Blyth D, Boeglin W, Bulumulla D, Butler J, Camsonne A, Carmignotto M, Castellanos J, Chen JP, Cohen EO, Covrig S, Craycraft K, Cruz-Torres R, Dongwi B, Duran B, Dutta D, Fuchey E, Gal C, Gautam TN, Gilad S, Gnanvo K, Gogami T, Gomez J, Gu C, Habarakada A, Hague T, Hansen JO, Hattawy M, Hauenstein F, Higinbotham DW, Holt RJ, Hughes EW, Hyde C, Ibrahim H, Jian S, Joosten S, Karki A, Karki B, Katramatou AT, Keith C, Keppel C, Khachatryan M, Khachatryan V, Khanal A, Kievsky A, King D, King PM, Korover I, Kulagin SA, Kumar KS, Kutz T, Lashley-Colthirst N, Li S, Li W, Liu H, Liuti S, Liyanage N, Markowitz P, McClellan RE, Meekins D, Beck SMT, Meziani ZE, Michaels R, Mihovilovic M, Nelyubin V, Nguyen D, Nycz M, Obrecht R, Olson M, Owen VF, Pace E, Pandey B, Pandey V, Paolone M, Papadopoulou A, Park S, Paul S, Petratos GG, Petti R, Piasetzky E, Pomatsalyuk R, Premathilake S, Puckett AJR, Punjabi V, Ransome RD, Rashad MNH, Reimer PE, Riordan S, Roche J, Salmè G, Santiesteban N, Sawatzky B, Scopetta S, Schmidt A, Schmookler B, Segal J, Segarra EP, Shahinyan A, Širca S, Sparveris N, Su T, Suleiman R, Szumila-Vance H, Tadepalli AS, Tang L, Tireman W, Tortorici F, Urciuoli GM, Wojtsekhowski B, Wood S, Ye ZH, Ye ZY, Zhang J. Measurement of the Nucleon F_{2}^{n}/F_{2}^{p} Structure Function Ratio by the Jefferson Lab MARATHON Tritium/Helium-3 Deep Inelastic Scattering Experiment. Phys Rev Lett 2022; 128:132003. [PMID: 35426713 DOI: 10.1103/physrevlett.128.132003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 01/23/2022] [Accepted: 02/09/2022] [Indexed: 06/14/2023]
Abstract
The ratio of the nucleon F_{2} structure functions, F_{2}^{n}/F_{2}^{p}, is determined by the MARATHON experiment from measurements of deep inelastic scattering of electrons from ^{3}H and ^{3}He nuclei. The experiment was performed in the Hall A Facility of Jefferson Lab using two high-resolution spectrometers for electron detection, and a cryogenic target system which included a low-activity tritium cell. The data analysis used a novel technique exploiting the mirror symmetry of the two nuclei, which essentially eliminates many theoretical uncertainties in the extraction of the ratio. The results, which cover the Bjorken scaling variable range 0.19<x<0.83, represent a significant improvement compared to previous SLAC and Jefferson Lab measurements for the ratio. They are compared to recent theoretical calculations and empirical determinations of the F_{2}^{n}/F_{2}^{p} ratio.
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Affiliation(s)
- D Abrams
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - H Albataineh
- Texas A & M University, Kingsville, Texas 78363, USA
| | - B S Aljawrneh
- North Carolina A & T State University, Greensboro, North Carolina 27411, USA
| | - S Alsalmi
- Kent State University, Kent, Ohio 44240, USA
- King Saud University, Riyadh 11451, Kingdom of Saudi Arabia
| | - D Androic
- University of Zagreb, 10000 Zagreb, Croatia
| | - K Aniol
- California State University, Los Angeles, California 90032, USA
| | - W Armstrong
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - J Arrington
- Argonne National Laboratory, Lemont, Illinois 60439, USA
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - T Averett
- William & Mary, Williamsburg, Virginia 23187, USA
| | | | - X Bai
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - J Bane
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - S Barcus
- William & Mary, Williamsburg, Virginia 23187, USA
| | - A Beck
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - V Bellini
- Istituto Nazionale di Fisica Nucleare, Sezione di Catania, 95123 Catania, Italy
| | - H Bhatt
- Mississippi State University, Mississipi State, Mississippi 39762, USA
| | - D Bhetuwal
- Mississippi State University, Mississipi State, Mississippi 39762, USA
| | - D Biswas
- Hampton University, Hampton, Virginia 23669, USA
| | - D Blyth
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - W Boeglin
- Florida International University, Miami, Florida 33199, USA
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - J Butler
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - A Camsonne
- Jefferson Lab, Newport News, Virginia 23606, USA
| | | | - J Castellanos
- Florida International University, Miami, Florida 33199, USA
| | - J-P Chen
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - E O Cohen
- School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel
| | - S Covrig
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - K Craycraft
- William & Mary, Williamsburg, Virginia 23187, USA
| | - R Cruz-Torres
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - B Dongwi
- Istituto Nazionale di Fisica Nucleare, Sezione di Catania, 95123 Catania, Italy
| | - B Duran
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D Dutta
- Mississippi State University, Mississipi State, Mississippi 39762, USA
| | - E Fuchey
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Gal
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - T N Gautam
- Hampton University, Hampton, Virginia 23669, USA
| | - S Gilad
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - K Gnanvo
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - T Gogami
- Tohoku University, Sendai 980-8576, Japan
| | - J Gomez
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - C Gu
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - A Habarakada
- Hampton University, Hampton, Virginia 23669, USA
| | - T Hague
- Kent State University, Kent, Ohio 44240, USA
| | - J-O Hansen
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - M Hattawy
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | | | - R J Holt
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - E W Hughes
- Columbia University, New York, New York 10027, USA
| | - C Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - H Ibrahim
- Cairo University, Cairo, Giza 12613 Egypt
| | - S Jian
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Joosten
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - A Karki
- Mississippi State University, Mississipi State, Mississippi 39762, USA
| | - B Karki
- Ohio University, Athens, Ohio 45701, USA
| | | | - C Keith
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - C Keppel
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - M Khachatryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V Khachatryan
- Stony Brook, State University of New York, New York 11794, USA
| | - A Khanal
- Florida International University, Miami, Florida 33199, USA
| | - A Kievsky
- Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, 56127 Pisa, Italy
| | - D King
- Syracuse University, Syracuse, New York 13244, USA
| | - P M King
- Ohio University, Athens, Ohio 45701, USA
| | - I Korover
- Nuclear Research Center-Negev, Beer-Sheva 84190, Israel
| | - S A Kulagin
- Institute for Nuclear Research of the Russian Academy of Sciences, 117312 Moscow, Russia
| | - K S Kumar
- Stony Brook, State University of New York, New York 11794, USA
| | - T Kutz
- Stony Brook, State University of New York, New York 11794, USA
| | | | - S Li
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - W Li
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - H Liu
- Columbia University, New York, New York 10027, USA
| | - S Liuti
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - N Liyanage
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | | | - D Meekins
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - S Mey-Tal Beck
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Z-E Meziani
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Michaels
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - M Mihovilovic
- Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana 1000, Slovenia
- Jožef Stefan Institute, Ljubljana, Slovenia
- Institut für Kernphysik, Johannes Gutenberg-Universität, Mainz 55122, Germany
| | - V Nelyubin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - D Nguyen
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Nycz
- Kent State University, Kent, Ohio 44240, USA
| | - R Obrecht
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Olson
- Saint Norbert College, De Pere, Wisconsin 54115, USA
| | - V F Owen
- William & Mary, Williamsburg, Virginia 23187, USA
| | - E Pace
- University of Rome Tor Vergata and INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - B Pandey
- Hampton University, Hampton, Virginia 23669, USA
| | - V Pandey
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - M Paolone
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - A Papadopoulou
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Park
- Stony Brook, State University of New York, New York 11794, USA
| | - S Paul
- William & Mary, Williamsburg, Virginia 23187, USA
| | | | - R Petti
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - E Piasetzky
- School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel
| | - R Pomatsalyuk
- Institute of Physics and Technology, 61108 Kharkov, Ukraine
| | - S Premathilake
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - A J R Puckett
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - V Punjabi
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - R D Ransome
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - M N H Rashad
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - P E Reimer
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - S Riordan
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - J Roche
- Ohio University, Athens, Ohio 45701, USA
| | - G Salmè
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma, 00185 Rome, Italy
| | - N Santiesteban
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - B Sawatzky
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - S Scopetta
- University of Perugia and INFN, Sezione di Perugia, 06123 Perugia, Italy
| | - A Schmidt
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - B Schmookler
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - J Segal
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - E P Segarra
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Shahinyan
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - S Širca
- Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana 1000, Slovenia
- Jožef Stefan Institute, Ljubljana, Slovenia
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - T Su
- Kent State University, Kent, Ohio 44240, USA
- Shandong Institute of Advanced Technology, Jinan, Shandong 250100, China
| | - R Suleiman
- Jefferson Lab, Newport News, Virginia 23606, USA
| | | | - A S Tadepalli
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - L Tang
- Hampton University, Hampton, Virginia 23669, USA
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - W Tireman
- Northern Michigan University, Marquette, Michigan 49855, USA
| | - F Tortorici
- Istituto Nazionale di Fisica Nucleare, Sezione di Catania, 95123 Catania, Italy
| | - G M Urciuoli
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma, 00185 Rome, Italy
| | | | - S Wood
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - Z H Ye
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - Z Y Ye
- University of Illinois-Chicago, Chicago, Illinois 60607, USA
| | - J Zhang
- Stony Brook, State University of New York, New York 11794, USA
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17
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Cheema SS, Shanker N, Wang LC, Hsu CH, Hsu SL, Liao YH, San Jose M, Gomez J, Chakraborty W, Li W, Bae JH, Volkman SK, Kwon D, Rho Y, Pinelli G, Rastogi R, Pipitone D, Stull C, Cook M, Tyrrell B, Stoica VA, Zhang Z, Freeland JW, Tassone CJ, Mehta A, Saheli G, Thompson D, Suh DI, Koo WT, Nam KJ, Jung DJ, Song WB, Lin CH, Nam S, Heo J, Parihar N, Grigoropoulos CP, Shafer P, Fay P, Ramesh R, Mahapatra S, Ciston J, Datta S, Mohamed M, Hu C, Salahuddin S. Ultrathin ferroic HfO 2-ZrO 2 superlattice gate stack for advanced transistors. Nature 2022; 604:65-71. [PMID: 35388197 DOI: 10.1038/s41586-022-04425-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Accepted: 01/14/2022] [Indexed: 11/09/2022]
Abstract
With the scaling of lateral dimensions in advanced transistors, an increased gate capacitance is desirable both to retain the control of the gate electrode over the channel and to reduce the operating voltage1. This led to a fundamental change in the gate stack in 2008, the incorporation of high-dielectric-constant HfO2 (ref. 2), which remains the material of choice to date. Here we report HfO2-ZrO2 superlattice heterostructures as a gate stack, stabilized with mixed ferroelectric-antiferroelectric order, directly integrated onto Si transistors, and scaled down to approximately 20 ångströms, the same gate oxide thickness required for high-performance transistors. The overall equivalent oxide thickness in metal-oxide-semiconductor capacitors is equivalent to an effective SiO2 thickness of approximately 6.5 ångströms. Such a low effective oxide thickness and the resulting large capacitance cannot be achieved in conventional HfO2-based high-dielectric-constant gate stacks without scavenging the interfacial SiO2, which has adverse effects on the electron transport and gate leakage current3. Accordingly, our gate stacks, which do not require such scavenging, provide substantially lower leakage current and no mobility degradation. This work demonstrates that ultrathin ferroic HfO2-ZrO2 multilayers, stabilized with competing ferroelectric-antiferroelectric order in the two-nanometre-thickness regime, provide a path towards advanced gate oxide stacks in electronic devices beyond conventional HfO2-based high-dielectric-constant materials.
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Affiliation(s)
- Suraj S Cheema
- Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, USA.
| | - Nirmaan Shanker
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
| | - Li-Chen Wang
- Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, USA
| | - Cheng-Hsiang Hsu
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
| | - Shang-Lin Hsu
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
| | - Yu-Hung Liao
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
| | - Matthew San Jose
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA
| | - Jorge Gomez
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA
| | - Wriddhi Chakraborty
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA
| | - Wenshen Li
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
| | - Jong-Ho Bae
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
| | - Steve K Volkman
- Applied Science and Technology, University of California, Berkeley, CA, USA
| | - Daewoong Kwon
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
| | - Yoonsoo Rho
- Laser Thermal Laboratory, Department of Mechanical Engineering, University of California, Berkeley, CA, USA
| | - Gianni Pinelli
- Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA, USA
| | - Ravi Rastogi
- Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA, USA
| | - Dominick Pipitone
- Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA, USA
| | - Corey Stull
- Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA, USA
| | - Matthew Cook
- Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA, USA
| | - Brian Tyrrell
- Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA, USA
| | - Vladimir A Stoica
- Department of Materials Science and Engineering, Pennsylvania State University, University Park, PA, USA
| | - Zhan Zhang
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL, USA
| | - John W Freeland
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL, USA
| | - Christopher J Tassone
- Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA, USA
| | - Apurva Mehta
- Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA, USA
| | | | | | - Dong Ik Suh
- Research & Development Division, SK hynix, Icheon, Korea
| | - Won-Tae Koo
- Research & Development Division, SK hynix, Icheon, Korea
| | - Kab-Jin Nam
- Semiconductor R&D Center, Samsung Electronics, Gyeonggi-do, Korea
| | - Dong Jin Jung
- Semiconductor R&D Center, Samsung Electronics, Gyeonggi-do, Korea
| | - Woo-Bin Song
- Semiconductor R&D Center, Samsung Electronics, Gyeonggi-do, Korea
| | - Chung-Hsun Lin
- Logic Technology Development, Intel Corporation, Hillsboro, OR, USA
| | - Seunggeol Nam
- Samsung Advanced Institute of Technology, Samsung Electronics, Suwon, Korea
| | - Jinseong Heo
- Samsung Advanced Institute of Technology, Samsung Electronics, Suwon, Korea
| | - Narendra Parihar
- Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India
| | - Costas P Grigoropoulos
- Laser Thermal Laboratory, Department of Mechanical Engineering, University of California, Berkeley, CA, USA
| | - Padraic Shafer
- Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Patrick Fay
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA
| | - Ramamoorthy Ramesh
- Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, USA.,Department of Physics, University of California, Berkeley, Berkeley, CA, USA.,Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Souvik Mahapatra
- Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India
| | - Jim Ciston
- National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Suman Datta
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA
| | - Mohamed Mohamed
- Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA, USA
| | - Chenming Hu
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
| | - Sayeef Salahuddin
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA. .,Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
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Gomez J, Requena C, Del Cid J, Mehrotra A. PAPILLARY MUSCLE RUPTURE AFTER PREMATURE VENTRICULAR CONTRACTION RADIOFREQUENCY CATHETER ABLATION: A CASE REPORT. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)03417-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Itabashi K, Suzuki K, Pandey B, Okuyama K, Gogami T, Nagao S, Nakamura S, Tang L, Abrams D, Akiyama T, Androic D, Aniol K, Ayerbe Gayoso C, Bane J, Barcus S, Barrow J, Bellini V, Bhatt H, Bhetuwal D, Biswas D, Camsonne A, Castellanos J, Chen JP, Chen J, Covrig S, Chrisman D, Cruz-Torres R, Das R, Fuchey E, Gnanvo K, Garibaldi F, Gautam T, Gomez J, Gueye P, Hague T, Hansen O, Henry W, Hauenstein F, Higinbotham D, Hyde C, Kaneta M, Keppel C, Kutz T, Lashley-Colthirst N, Li S, Liu H, Mammei J, Markowitz P, McClellan RE, Meddi F, Meekins D, Michaels R, Mihovilovic M, Moyer A, Nguyen D, Nycz M, Owen V, Palatchi C, Park S, Petkovic T, Premathilake S, Reimer P, Reinhold J, Riordan S, Rodriguez V, Samanta C, Santiesteban S, Sawatzky B, Širca S, Slifer K, Su T, Tian Y, Toyama Y, Uehara K, Urciuoli G, Votaw D, Williamson J, Wojtsekhowski B, Wood S, Yale B, Ye Z, Zhang J, Zheng X. Study of Λ n FSI with Λ quasi-free productions on the 3H( e, e′K+) X reaction at JLab. EPJ Web Conf 2022. [DOI: 10.1051/epjconf/202227102006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract. An nnΛ is a neutral baryon system with no charge. The study of the pure Λ-neutron system such as nnΛ gives us information on the Λn interaction. The nnΛ search experiment (E12-17-003) was performed at JLab Hall A in 2018. In this article, the Λn FSI was investigated by a shape analysis of the 3H(e, e′K+)X missing mass spectrum, and a preliminary result for the Λn FSI study is given.
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Gogami T, Suzuki KN, Pandey B, Itabashi K, Nagao S, Okuyama K, Nakamura SN, Tang L, Abrams D, Akiyama T, Androic D, Aniol K, Ayerbe Gayoso C, Bane J, Barcus S, Barrow J, Bellini V, Bhatt H, Bhetuwal D, Biswas D, Camsonne A, Castellanos J, Chen JP, Chen J, Covrig S, Chrisman D, Cruz-Torres R, Das R, Fuchey E, Gnanvo K, Garibaldi F, Gautam T, Gomez J, Gueye P, Hague TJ, Hansen O, Henry W, Hauenstein F, Higinbotham DW, Hyde CE, Kaneta M, Keppel C, Kutz T, Lashley-Colthirst N, Li S, Liu H, Mammei J, Markowitz P, McClellan RE, Meddi F, Meekins D, Michaels R, Mihovilovic M, Moyer A, Nguyen D, Nycz M, Owen V, Palatchi C, Park S, Petkovic T, Premathilake S, Reimer PE, Reinhold J, Riordan S, Rodriguez V, Samanta C, Santiesteban SN, Sawatzky B, Širca S, Slifer K, Su T, Tian Y, Toyama Y, Uehara K, Urciuoli GM, Votaw D, Williamson J, Wojtsekhowski B, Wood SA, Yale B, Ye Z, Zhang J, Zheng X. Cross-section measurement of virtual photoproduction of iso-triplet three-body hypernucleus, Λ nn. EPJ Web Conf 2022. [DOI: 10.1051/epjconf/202227102002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Missing-mass spectroscopy with the 3H(e, e′K+) reaction was carried out at Jefferson Lab’s (JLab) Hall A in Oct–Nov, 2018. The differential cross section for the 3H(γ∗, K+)Λnn was deduced at ω = Ee − Ee′ = 2.102 GeV and at the forward K+-scattering angle (0° ≤ θγ∗K ≤ 5°) in the laboratory frame. Given typical predicted energies and decay widths, which are (BΛ, Γ) = (−0.25, 0.8) and (−0.55, 4.7) MeV, the cross sections were found to be 11.2 ± 4.8(stat.)+4.1−2.1(sys.) and 18.1 ± 6.8(stat.)+4.2−2.9(sys.) nb/sr, respectively. The obtained result would impose a constraint for interaction models particularly between Λ and neutron by comparing to theoretical calculations.
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Okuyama K, Itabashi K, Nagao S, Nakamura SN, Suzuki KN, Gogami T, Pandey B, Tang L, Abrams D, Akiyama T, Androic D, Aniol K, Ayerbe Gayoso C, Bane J, Barcus S, Barrow J, Bellini V, Bhatt H, Bhetuwal D, Biswas D, Camsonne A, Castellanos J, Chen JP, Chen J, Covrig S, Chrisman D, Cruz-Torres R, Das R, Fuchey E, Gnanvo K, Garibaldi F, Gautam T, Gomez J, Gueye P, Hague TJ, Hansen O, Henry W, Hauenstein F, Higinbotham DW, Hyde CE, Kaneta M, Keppel C, Kutz T, Lashley-Colthirst N, Li S, Liu H, Mammei J, Markowitz P, McClellan RE, Meddi F, Meekins D, Michaels R, Mihovilovic M, Moyer A, Nguyen D, Nycz M, Owen V, Palatchi C, Park S, Petkovic T, Premathilake S, Reimer PE, Reinhold J, Riordan S, Rodriguez V, Samanta C, Santiesteban SN, Sawatzky B, Širca S, Slifer K, Su T, Tian Y, Toyama Y, Uehara K, Urciuoli GM, Votaw D, Williamson J, Wojtsekhowski B, Wood SA, Yale B, Ye Z, Zhang J, Zheng X. Study of the Λ/Σ 0 electroproduction in the low- Q2 region at JLab. EPJ Web Conf 2022. [DOI: 10.1051/epjconf/202227102003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
We performed an experiment using tritium and hydrogen cryogenic gas targets at Thomas Jefferson National Accelerator Facility (JLab) in 2018 (E12-17-003)[1, 2]. In this article, we discuss the Λ/Σ0 hyperon electroproduction from hydrogen target. Elementary Λ/Σ0 hyperon production processes are important not only for an absolute mass scale calibration in our experiment, but also for the study of the electroproduction mechanisms themselves. In this article, we reported the results of the differential cross section for the p(e, e’K+)Λ/Σ0 reaction at Q2 ∼ 0.5 (GeV/c)2.
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Gomez J, Bergamo ET, Tovar N, Talib HS, Pippenger BE, Herdia V, Cox M, Coelho PG, Witek L. Microtomographic reconstruction of mandibular defects treated with xenografts and collagen-based membranes: A pre-clinical minipig model. Med Oral Patol Oral Cir Bucal 2021; 26:e825-e833. [PMID: 34564687 PMCID: PMC8601645 DOI: 10.4317/medoral.24811] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 07/16/2021] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND The goal of this study was to evaluate hard tissue response following guided bone regeneration using commercially available bovine bone grafts and collagen membranes; bilayer collagen membrane and porcine pericardium-based membrane, by means of a non-destructive three-dimensional (3D) computerized volumetric analysis following microtomography reconstruction. MATERIAL AND METHODS Bone regenerative properties of various bovine bone graft materials were evaluated in the Göttingen minipig model. Two standardized intraosseous defects (15mm x 8mm x 8mm) were created bilaterally of the mandible of eighteen animals (n=72 defects). Groups were nested within the same subject and randomly distributed among the sites: (i) negative control (no graft and membrane), (ii) bovine bone graft/bilayer collagen membrane (BOB) (iii) Bio-Oss® bone graft/porcine pericardium-based membrane (BOJ) and (iv) cerabone® bone graft/porcine pericardium-based membrane (CJ). Samples were harvested at 4, 8, and 12-week time points (n=6 animal/time point). Segments were scanned using computerized microtomography (μCT) and three dimensionally reconstructed utilizing volumetric reconstruction software. Statistical analyses were performed using IBM SPSS with a significance level of 5%. RESULTS From a temporal perspective, tridimensional evaluation revealed gradual bone ingrowth with the presence of particulate bone grafts bridging the defect walls, and mandibular architecture preservation over time. Volumetric analysis demonstrated no significant difference between all groups at 4 weeks (p>0.127). At 8 and 12 weeks there was a higher percentage of new bone formation for control and CJ groups when compared to BOB and BOJ groups (p<0.039). The natural bovine bone graft group showed more potential for graft resorption over time relative to bovine bone graft, significantly different between 4 and 8 weeks (p<0.003). CONCLUSIONS Volumetric analysis yielded a favorable mandible shape with respect to time through the beneficial balance between graft resorption/bone regenerative capacity for the natural bovine bone graft.
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Affiliation(s)
- J Gomez
- New York University College of Dentistry Department of Biomaterials 433 1st Ave, Room 842, New York, USA
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Nagasaka M, Goto K, Gomez J, Hida T, Shu C, Lee C, Park K, Cho B, Lee J, Ou S, Bestvina C, Natale R, Haddish-Berhane N, Bhattacharya A, Verheijen R, Agrawal T, Knoblauch R, Govindan R. P50.04 Amivantamab in Combination With Chemotherapy in Patients With Advanced Non-Small Cell Lung Cancer (NSCLC). J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Parra-Salazar A, Gomez J, Lozano-Arce D, Reyes-Herrera PH, Duitama J. Robust and efficient software for reference-free genomic diversity analysis of genotyping-by-sequencing data on diploid and polyploid species. Mol Ecol Resour 2021; 22:439-454. [PMID: 34288487 DOI: 10.1111/1755-0998.13477] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 07/08/2021] [Accepted: 07/13/2021] [Indexed: 12/14/2022]
Abstract
Genotyping-by-sequencing (GBS) is a widely used and cost-effective technique for obtaining large numbers of genetic markers from populations by sequencing regions adjacent to restriction cut sites. Although a standard reference-based pipeline can be followed to analyse GBS reads, a reference genome is still not available for a large number of species. Hence, reference-free approaches are required to generate the genetic variability information that can be obtained from a GBS experiment. Unfortunately, available tools to perform de novo analysis of GBS reads face issues of usability, accuracy and performance. Furthermore, few available tools are suitable for analysing data sets from polyploid species. In this manuscript, we describe a novel algorithm to perform reference-free variant detection and genotyping from GBS reads. Nonexact searches on a dynamic hash table of consensus sequences allow for efficient read clustering and sorting. This algorithm was integrated in the Next Generation Sequencing Experience Platform (NGSEP) to integrate the state-of-the-art variant detector already implemented in this tool. We performed benchmark experiments with three different empirical data sets of plants and animals with different population structures and ploidies, and sequenced with different GBS protocols at different read depths. These experiments show that NGSEP has comparable and in some cases better accuracy and always better computational efficiency compared to existing solutions. We expect that this new development will be useful for many research groups conducting population genetic studies in a wide variety of species.
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Affiliation(s)
- Andrea Parra-Salazar
- Department of Systems and Computing Engineering, Universidad de los Andes, Bogotá, Colombia
| | - Jorge Gomez
- Department of Systems and Computing Engineering, Universidad de los Andes, Bogotá, Colombia
| | - Daniela Lozano-Arce
- Department of Systems and Computing Engineering, Universidad de los Andes, Bogotá, Colombia
| | | | - Jorge Duitama
- Department of Systems and Computing Engineering, Universidad de los Andes, Bogotá, Colombia
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Del Cid Fratti J, Munoz E, Gomez J, Mungee S. OUTCOMES OF TAVR IN PATIENTS WITH OBESITY HYPOVENTILATION SYNDROME (OHS). J Am Coll Cardiol 2021. [DOI: 10.1016/s0735-1097(21)02471-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Munoz E, Fratti JDC, Gomez J, Mortoti S, Mungee S. ALTERED MENTAL STATUS AN IMPORTANT PRESENTATION OF AORTIC DISSECTION. J Am Coll Cardiol 2021. [DOI: 10.1016/s0735-1097(21)04049-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Munoz E, Del Cid Fratti J, Gomez J, Mungee S. IMPACT OT TIMING OF MECHANICAL CIRCULATORY SUPPORT INITIATION IN PATIENTS WITH CARDIOGENIC SHOCK A NATIONAL INPATIENT SAMPLE ANALYSIS. J Am Coll Cardiol 2021. [DOI: 10.1016/s0735-1097(21)02191-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Munoz E, Del Cid Fratti J, Gomez J, Mungee S. IMPACT OF EARLY VS LATE INITIATION OF MECHANICAL CIRCULATORY SUPPORT IN PATIENTS ADMITTED WITH ACS RELATED CARDIOGENIC SHOCK. J Am Coll Cardiol 2021. [DOI: 10.1016/s0735-1097(21)02185-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Moore AC, Bunn PA, Fontoura B, García-Sastre A, Gomez J, Krammer F, Mack P, Minna JD, Rolfo C, Shyr Y, Ujhazy P, Hirsch FR. Abstract S01-02: Assessing vulnerability of patients with lung cancer to SARS-CoV-2 infection based on serological antibody analyses. Clin Cancer Res 2021. [DOI: 10.1158/1557-3265.covid-19-21-s01-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
COVID-19 presents a unique threat to patients with lung cancer, with mortality rates as high as ~32%. Given the convergence of these two deadly diseases, the lung cancer research and advocacy communities rapidly mobilized in early 2020 to create the COVID Lung Cancer Consortium (CLCC), a global assembly of leading experts in thoracic oncology, immunology, virology, vaccines and patient advocacy. With ongoing robust exchange of data and shared learning and rational planning for clinical and laboratory investigations, the CLCC is bringing its collective expertise to bear on beginning to address the question of why patients with lung cancer are at such elevated risk of worse outcomes from COVID-19. These efforts led to a recently funded U54 CA260560 grant as part of the National Cancer Institute’s SeroNet initiative to study the magnitude, quality and duration of antibody responses to SARS-CoV-2 infection in patients with lung cancer compared to healthy controls. In the first project, our Mt. Sinai U54 Serological Center of Excellence will follow a prospective lung cancer cohort (750 patients) and a matched non-lung cancer control group (750 individuals) to determine if there are differences in antibody responses related to age, gender, tobacco history, and race/ethnicity. Given that effective SARS-CoV-2 vaccines are now being deployed, the study will also analyze antibody responses to vaccination across these two patient cohorts. The second project will examine biological determinants correlating with susceptibility to infection, including analysis of both ACE2 and TMPRSS2 levels, and antibody-mediated neutralization in pre-clinical models of established lung cancer and normal lung epithelial cell lines. In order to capture a diverse and inclusive patient population, this effort will be supported by GO2 Foundation for Lung Cancer through its national network of Centers of Excellence. This rapid global mobilization of the lung cancer community through the CLCC and the resulting Serological Center of Excellence is positioned to answer fundamental questions regarding the susceptibility of patients with lung cancer to SARS-CoV-2 infection and severe COVID-19 disease and provide information to allow assessment of the value of vaccination and the utility of specifically designed vaccine programs for this high-risk patient population.
Citation Format: Amy C. Moore, Paul A Bunn Jr., Beatriz Fontoura, Adolfo García-Sastre, Jorge Gomez, Florian Krammer, Phillip Mack, John D. Minna, Christian Rolfo, Yu Shyr, Peter Ujhazy, Fred R. Hirsch. Assessing vulnerability of patients with lung cancer to SARS-CoV-2 infection based on serological antibody analyses [abstract]. In: Proceedings of the AACR Virtual Meeting: COVID-19 and Cancer; 2021 Feb 3-5. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(6_Suppl):Abstract nr S01-02.
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Affiliation(s)
- Amy C. Moore
- 1GO2 Foundation for Lung Cancer, San Carlos, CA,
| | - Paul A Bunn
- 2University of Colorado Cancer Center, Aurora, CO,
| | | | | | - Jorge Gomez
- 4Icahn School of Medicine at Mount Sinai, New York, NY,
| | | | - Phillip Mack
- 4Icahn School of Medicine at Mount Sinai, New York, NY,
| | | | | | - Yu Shyr
- 6Vanderbilt University Medical Center, Nashville, TN,
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Gomez J, Moreno LE, Constenla D, Caceres D, Rodriguez E. Budget impact analysis of pneumococcal conjugate vaccines in Colombia. Expert Rev Pharmacoecon Outcomes Res 2020; 21:255-263. [PMID: 33249948 DOI: 10.1080/14737167.2021.1855978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Objective: Pneumococcal diseases including invasive pneumococcal disease (IPD), pneumonia, and acute otitis media (AOM) impose a substantial public health burden. This study performed a budget impact analysis of the use of pneumococcal conjugate vaccines (PCVs) in the National Immunization Program (NIP) in Colombia.Methods: We compared the direct medical cost of the scenario without and with PCV vaccination using either pneumococcal non-typeable Haemophilus influenzae protein D conjugate vaccine (PHiD-CV) or 13-valent pneumococcal conjugate vaccine (PCV-13) over 5 years (2020-2024) from the health-care system perspective. Vaccine efficacy estimates were obtained from published sources and vaccine prices were taken from the Pan-American Health Organization Revolving Fund. Vaccine coverage was assumed to be 90% based on Colombia data.Results: Using PHiD-CV in the NIP in Colombia would reduce the estimated cost for treating pneumococcal disease by US$46.1 m over the 2020-2024 period (US$40.2 m using PCV-13), with a budget impact of US$100.1 m for PHiD-CV (US$121.4 m for PCV-13), and would cost US$3.1 m less per year on vaccine doses than using PCV-13.Conclusion: These findings are potentially valuable for the selection of vaccines for their national immunization programs under conditions of budgetary constraint.
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Affiliation(s)
- Jorge Gomez
- GSK Vaccines, Health Outcomes, Buenos Aires, Argentina
| | | | | | - Diana Caceres
- GSK Vaccines, Medical Affair & Patient Access, Bogota, Colombia
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Rodríguez E, Gomez J, Moreno A, Acosta J, Torres L, Trilla J, López Y, Baiges G, Hernández A, Camps J, Joven J, Arenas M. PO-1104: Effect Of Neoadjuvant Radiochemotherapy On Activity Of Paraoxonase -1 In Rectal Cancer Patients. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01121-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Monk B, Herzog T, McGowan T, De Rivas Otero B, Gomez J, Tanovic A, Coleman R. 830P Subanalysis of a randomized phase III study comparing trabectedin and PLD vs PLD alone in patients with recurrent ovarian cancer (ROC). Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.969] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Dutta S, Schafer C, Gomez J, Ni K, Joshi S, Datta S. Supervised Learning in All FeFET-Based Spiking Neural Network: Opportunities and Challenges. Front Neurosci 2020; 14:634. [PMID: 32670012 PMCID: PMC7327100 DOI: 10.3389/fnins.2020.00634] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 05/22/2020] [Indexed: 11/13/2022] Open
Abstract
The two possible pathways toward artificial intelligence (AI)-(i) neuroscience-oriented neuromorphic computing [like spiking neural network (SNN)] and (ii) computer science driven machine learning (like deep learning) differ widely in their fundamental formalism and coding schemes (Pei et al., 2019). Deviating from traditional deep learning approach of relying on neuronal models with static nonlinearities, SNNs attempt to capture brain-like features like computation using spikes. This holds the promise of improving the energy efficiency of the computing platforms. In order to achieve a much higher areal and energy efficiency compared to today's hardware implementation of SNN, we need to go beyond the traditional route of relying on CMOS-based digital or mixed-signal neuronal circuits and segregation of computation and memory under the von Neumann architecture. Recently, ferroelectric field-effect transistors (FeFETs) are being explored as a promising alternative for building neuromorphic hardware by utilizing their non-volatile nature and rich polarization switching dynamics. In this work, we propose an all FeFET-based SNN hardware that allows low-power spike-based information processing and co-localized memory and computing (a.k.a. in-memory computing). We experimentally demonstrate the essential neuronal and synaptic dynamics in a 28 nm high-K metal gate FeFET technology. Furthermore, drawing inspiration from the traditional machine learning approach of optimizing a cost function to adjust the synaptic weights, we implement a surrogate gradient (SG) learning algorithm on our SNN platform that allows us to perform supervised learning on MNIST dataset. As such, we provide a pathway toward building energy-efficient neuromorphic hardware that can support traditional machine learning algorithms. Finally, we undertake synergistic device-algorithm co-design by accounting for the impacts of device-level variation (stochasticity) and limited bit precision of on-chip synaptic weights (available analog states) on the classification accuracy.
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Affiliation(s)
- Sourav Dutta
- Department of Electrical Engineering, College of Engineering, University of Notre Dame, Notre Dame, IN, United States
| | - Clemens Schafer
- Department of Computer Science and Engineering, College of Engineering, University of Notre Dame, Notre Dame, IN, United States
| | - Jorge Gomez
- Department of Electrical Engineering, College of Engineering, University of Notre Dame, Notre Dame, IN, United States
| | - Kai Ni
- Department of Microsystems Engineering, Rochester Institute of Technology, Rochester, NY, United States
| | - Siddharth Joshi
- Department of Computer Science and Engineering, College of Engineering, University of Notre Dame, Notre Dame, IN, United States
| | - Suman Datta
- Department of Electrical Engineering, College of Engineering, University of Notre Dame, Notre Dame, IN, United States
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Barrios A, Camelo J, Gomez J, Forero M, Peng PWH, Visbal K, Cadavid A. Evaluation of Sensory Mapping of Erector Spinae Plane Block. Pain Physician 2020; 23:E289-E296. [PMID: 32517405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
BACKGROUND Erector spinae plane (ESP) block is an effective regional analgesic technique for thoracic and abdominal pain. The volume of local anesthetic (LA) needed to produce sensory block in the spinal segment is unknown. OBJECTIVES The aim of the present study was to examine the extent of dermatomal spread following ultrasound-guided administration of ESP block, with a fixed-volume dose of a LA at the midthoracic area for analgesia in acute thoracic pain patients. Secondary objectives were postprocedure analgesia and patient satisfaction. STUDY DESIGN This research used a prospective unicentric exploratory cohort design. SETTING The study was conducted at an academic university hospital. METHODS A total of 18 patients with acute severe chest pain including rib fractures, thoracic postoperative rescue analgesia, zoster herpetic neuritis, and myofascial pain syndrome received ESP block under ultrasound guidance at the T5-T7 levels. Twenty mL of 0.5% plain bupivacaine was injected. Evaluation of the sensory block was carried out 60 minutes following the completion of the ESP block via a change in sensation to pinprick and cold methods. The Visual Analog Scale (VAS) for pain was recorded one hour after the procedure. Patient satisfaction was reported using a 4-point Likert scale. This study was registered with the clinicaltrials.gov database (identifier: NCT03831581). RESULTS Sixteen patients had a successful ESP block; 2 patients were excluded for a failed block. The mean dermatomal spread was 9 (range, 8-11). VAS scores improved by at least 50% from baseline (P < .05), one hour after the ESP block. The degree of satisfaction reported by all patients on the Likert scale was 4 points. No major complications were observed. LIMITATIONS This study was limited by its sample size. CONCLUSIONS An ultrasound-guided ESP block with a single injection at the midthoracic level with 20 mL of 0.5% plain bupivacaine provides a mean dermatomal spread of 9 dermatomes (range, 8-11) with a high rate of analgesic efficacy and low incidence of adverse effects. KEY WORDS Acute pain, dermatomal spread, erector spine plane nerve block, thoracic pain, thoracic postoperative analgesia.
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Affiliation(s)
- Andres Barrios
- Pain Medicine Unit Hospital Universitario San Vicente Fundación, Medellín, Colombia; Department of Anesthesia-Pain Medicine Fellowship Program, University of Antioquia, Medellín, Colombia
| | - Julio Camelo
- Pain Medicine Unit Hospital Universitario San Vicente Fundación, Medellín, Colombia; Department of Anesthesia-Pain Medicine Fellowship Program, University of Antioquia, Medellín, Colombia
| | - Jorge Gomez
- Department of Anesthesia-Pain Medicine Fellowship Program, University of Antioquia, Medellín, Colombia
| | - Mauricio Forero
- Department of Anesthesia, McMaster University, Hamilton, Ontario, Canada
| | | | - Kevin Visbal
- Department of Anesthesiology, resident of anesthesiology, University of Antioquia, Medellín, Colombia
| | - Adriana Cadavid
- Pain Medicine Unit Hospital Universitario San Vicente Fundación, Medellín, Colombia; Department of Anesthesia-Pain Medicine Fellowship Program, University of Antioquia, Medellín, Colombia
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Cruz-Torres R, Nguyen D, Hauenstein F, Schmidt A, Li S, Abrams D, Albataineh H, Alsalmi S, Androic D, Aniol K, Armstrong W, Arrington J, Atac H, Averett T, Ayerbe Gayoso C, Bai X, Bane J, Barcus S, Beck A, Bellini V, Benmokhtar F, Bhatt H, Bhetuwal D, Biswas D, Blyth D, Boeglin W, Bulumulla D, Camsonne A, Castellanos J, Chen JP, Cohen EO, Covrig S, Craycraft K, Dongwi B, Duer M, Duran B, Dutta D, Fuchey E, Gal C, Gautam TN, Gilad S, Gnanvo K, Gogami T, Golak J, Gomez J, Gu C, Habarakada A, Hague T, Hansen O, Hattawy M, Hen O, Higinbotham DW, Hughes E, Hyde C, Ibrahim H, Jian S, Joosten S, Kamada H, Karki A, Karki B, Katramatou AT, Keppel C, Khachatryan M, Khachatryan V, Khanal A, King D, King P, Korover I, Kutz T, Lashley-Colthirst N, Laskaris G, Li W, Liu H, Liyanage N, Markowitz P, McClellan RE, Meekins D, Mey-Tal Beck S, Meziani ZE, Michaels R, Mihovilovič M, Nelyubin V, Nuruzzaman N, Nycz M, Obrecht R, Olson M, Ou L, Owen V, Pandey B, Pandey V, Papadopoulou A, Park S, Patsyuk M, Paul S, Petratos GG, Piasetzky E, Pomatsalyuk R, Premathilake S, Puckett AJR, Punjabi V, Ransome R, Rashad MNH, Reimer PE, Riordan S, Roche J, Sargsian M, Santiesteban N, Sawatzky B, Segarra EP, Schmookler B, Shahinyan A, Širca S, Skibiński R, Sparveris N, Su T, Suleiman R, Szumila-Vance H, Tadepalli AS, Tang L, Tireman W, Topolnicki K, Tortorici F, Urciuoli G, Weinstein LB, Witała H, Wojtsekhowski B, Wood S, Ye ZH, Ye ZY, Zhang J. Probing Few-Body Nuclear Dynamics via ^{3}H and ^{3}He (e,e^{'}p)pn Cross-Section Measurements. Phys Rev Lett 2020; 124:212501. [PMID: 32530643 DOI: 10.1103/physrevlett.124.212501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 03/12/2020] [Accepted: 04/30/2020] [Indexed: 06/11/2023]
Abstract
We report the first measurement of the (e,e^{'}p) three-body breakup reaction cross sections in helium-3 (^{3}He) and tritium (^{3}H) at large momentum transfer [⟨Q^{2}⟩≈1.9 (GeV/c)^{2}] and x_{B}>1 kinematics, where the cross section should be sensitive to quasielastic (QE) scattering from single nucleons. The data cover missing momenta 40≤p_{miss}≤500 MeV/c that, in the QE limit with no rescattering, equals the initial momentum of the probed nucleon. The measured cross sections are compared with state-of-the-art ab initio calculations. Overall good agreement, within ±20%, is observed between data and calculations for the full p_{miss} range for ^{3}H and for 100≤p_{miss}≤350 MeV/c for ^{3}He. Including the effects of rescattering of the outgoing nucleon improves agreement with the data at p_{miss}>250 MeV/c and suggests contributions from charge-exchange (SCX) rescattering. The isoscalar sum of ^{3}He plus ^{3}H, which is largely insensitive to SCX, is described by calculations to within the accuracy of the data over the entire p_{miss} range. This validates current models of the ground state of the three-nucleon system up to very high initial nucleon momenta of 500 MeV/c.
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Affiliation(s)
- R Cruz-Torres
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - D Nguyen
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
- University of Education, Hue University, Hue City, Vietnam
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Schmidt
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Li
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - D Abrams
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - H Albataineh
- Texas A & M University, Kingsville, Texas 78363, USA
| | - S Alsalmi
- King Saud University, Riyadh 11451, Kingdom of Saudi Arabia
| | - D Androic
- University of Zagreb, 10000 Zagreb, Croatia
| | - K Aniol
- California State University, Los Angeles, California 90032, USA
| | - W Armstrong
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - J Arrington
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - T Averett
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - C Ayerbe Gayoso
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - X Bai
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - J Bane
- University of Tennessee, Knoxville, Tennessee 37966, USA
| | - S Barcus
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - A Beck
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - V Bellini
- INFN Sezione di Catania, 95123 Catania, Italy
| | - F Benmokhtar
- Duquesne University, Pittsburgh, Pennsylvania 15282, USA
| | - H Bhatt
- Mississippi State University, Mississippi 39762, USA
| | - D Bhetuwal
- Mississippi State University, Mississippi 39762, USA
| | - D Biswas
- Hampton University, Hampton, Virginia 23669, USA
| | - D Blyth
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - W Boeglin
- Florida International University, Miami, Florida 33199, USA
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Camsonne
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - J Castellanos
- Florida International University, Miami, Florida 33199, USA
| | - J-P Chen
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - E O Cohen
- School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
| | - S Covrig
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - K Craycraft
- University of Tennessee, Knoxville, Tennessee 37966, USA
| | - B Dongwi
- Hampton University, Hampton, Virginia 23669, USA
| | - M Duer
- School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
| | - B Duran
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D Dutta
- Mississippi State University, Mississippi 39762, USA
| | - E Fuchey
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Gal
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - T N Gautam
- Hampton University, Hampton, Virginia 23669, USA
| | - S Gilad
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - K Gnanvo
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - T Gogami
- Tohoku University, Sendai, Miyagi 980-8577, Japan
| | - J Golak
- M. Smoluchowski Institute of Physics, Jagiellonian University, PL-30348 Kraków, Poland
| | - J Gomez
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - C Gu
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - A Habarakada
- Hampton University, Hampton, Virginia 23669, USA
| | - T Hague
- Kent State University, Kent, Ohio 44240, USA
| | - O Hansen
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - M Hattawy
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - O Hen
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | | | - E Hughes
- Columbia University, New York, New York 10027, USA
| | - C Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - H Ibrahim
- Cairo University, 12613 Cairo, Egypt
| | - S Jian
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Joosten
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - H Kamada
- Department of Physics, Faculty of Engineering, Kyushu Institute of Technology, Kitakyushu 804-8550, Japan
| | - A Karki
- Mississippi State University, Mississippi 39762, USA
| | - B Karki
- Ohio University, Athens, Ohio 45701, USA
| | | | - C Keppel
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - M Khachatryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V Khachatryan
- Stony Brook, State University of New York, New York 11794, USA
| | - A Khanal
- Florida International University, Miami, Florida 33199, USA
| | - D King
- Syracuse University, Syracuse, New York 13244, USA
| | - P King
- Ohio University, Athens, Ohio 45701, USA
| | - I Korover
- Nuclear Research Center-Negev, Beer-Sheva, Israel
| | - T Kutz
- Stony Brook, State University of New York, New York 11794, USA
| | | | - G Laskaris
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - W Li
- University of Regina, Regina, SK S4S 0A2, Canada
| | - H Liu
- Columbia University, New York, New York 10027, USA
| | - N Liyanage
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | | | - D Meekins
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - S Mey-Tal Beck
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Z-E Meziani
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
- Columbia University, New York, New York 10027, USA
| | - R Michaels
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - M Mihovilovič
- University of Ljubljana, 1000 Ljubljana, Slovenia
- Faculty of Mathematics and Physics, Jožef Stefan Institute, Ljubljana, Slovenia
- Institut für Kernphysik, Johannes Gutenberg-Universität Mainz, DE-55128 Mainz, Germany
| | - V Nelyubin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - N Nuruzzaman
- Hampton University, Hampton, Virginia 23669, USA
| | - M Nycz
- Kent State University, Kent, Ohio 44240, USA
| | - R Obrecht
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Olson
- Saint Norbert College, De Pere, Wisconsin 54115, USA
| | - L Ou
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - V Owen
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - B Pandey
- Hampton University, Hampton, Virginia 23669, USA
| | - V Pandey
- Department of Physics, University of Florida, Gainesville, Florida 32611, USA
| | - A Papadopoulou
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Park
- Stony Brook, State University of New York, New York 11794, USA
| | - M Patsyuk
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Paul
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | | | - E Piasetzky
- School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
| | - R Pomatsalyuk
- Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - S Premathilake
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - A J R Puckett
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - V Punjabi
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - R Ransome
- Rutgers University, New Brunswick, New Jersey 08901, USA
| | - M N H Rashad
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - P E Reimer
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - S Riordan
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - J Roche
- Ohio University, Athens, Ohio 45701, USA
| | - M Sargsian
- Florida International University, Miami, Florida 33199, USA
| | - N Santiesteban
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - B Sawatzky
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - E P Segarra
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - B Schmookler
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Shahinyan
- Yerevan Physics Institute, 0036 Yerevan, Armenia
| | - S Širca
- University of Ljubljana, 1000 Ljubljana, Slovenia
- Faculty of Mathematics and Physics, Jožef Stefan Institute, SI-1000, Ljubljana, Slovenia
| | - R Skibiński
- M. Smoluchowski Institute of Physics, Jagiellonian University, PL-30348 Kraków, Poland
| | - N Sparveris
- Columbia University, New York, New York 10027, USA
| | - T Su
- Kent State University, Kent, Ohio 44240, USA
| | - R Suleiman
- Jefferson Lab, Newport News, Virginia 23606, USA
| | | | - A S Tadepalli
- Rutgers University, New Brunswick, New Jersey 08901, USA
| | - L Tang
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - W Tireman
- Northern Michigan University, Marquette, Michigan 49855, USA
| | - K Topolnicki
- M. Smoluchowski Institute of Physics, Jagiellonian University, PL-30348 Kraków, Poland
| | - F Tortorici
- INFN Sezione di Catania, 95123 Catania, Italy
| | | | - L B Weinstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - H Witała
- M. Smoluchowski Institute of Physics, Jagiellonian University, PL-30348 Kraków, Poland
| | | | - S Wood
- Jefferson Lab, Newport News, Virginia 23606, USA
| | - Z H Ye
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - Z Y Ye
- University of Illinois-Chicago, Chicago, Illinois 60607, USA
| | - J Zhang
- Stony Brook, State University of New York, New York 11794, USA
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MacPherson AH, Gomez J, Calhoun E, Borders M, Fitzpatrick K, Prado Y, Bezies-Lopez D, Hsu CH. Abstract P6-11-13: Identification of barriers to breast cancer screening that affect compliance. Cancer Res 2020. [DOI: 10.1158/1538-7445.sabcs19-p6-11-13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: In 2015, the latest year for which the Center for Disease Control (CDC) has incidence data, 242,476 new cases of Female Breast Cancer were reported, and 41,523 women died of Female Breast Cancer in the United States. For every 100,000 women, 125 new Female Breast Cancer cases were reported and 20 died of cancer. In Arizona, breast was the leading site of new cancers in 2015, with 110.9 new breast cancer diagnoses per 100,000 women, and is second for cancer deaths, reporting 19 deaths per 100,000 women. This study specifically addresses low screening rates among women in Pima County in Southern Arizona through a telephone navigation program with the goal of increasing follow-up mammograms and recommended breast imaging. Our short-term goal is to increase both initial screening and diagnostic resolution rates among women in Southern Arizona. Our long-term plan is to develop a sustainable model to increase breast cancer screening among women that is expected to inform programs state-wide and nationally. Specific aims are: 1) to increase adherence or repeat screening rate by 20% for women lost to follow-up; 2) Establish the framework for a community-academic partnership that can be replicated in other Hispanic-based areas. Methods: Potential study participants were identified using Electronic Health Records and categorized by Breast Imaging-Reporting and Data System (BI-RADS) 0 to 5. Inclusion criteria include non-compliant women of any race/ethnicity between the ages of 40 and 75 who have been referred to, or seen at a breast imaging clinic in Tucson, Arizona (Pima County) from January 1, 2014 to September 30, 2017. Of those non-compliant, 47% had a BI-RADS 0,3,4, or 5. With IRB approval from University of Arizona, we adapted a questionnaire validated for use in colon cancer to measure screening knowledge, motivations and barriers to adherence, and self-efficacy. Two navigators reached out to participants to recruit and re-engage them in the care process. Results: The sample is n=9661 of noncompliant patients from a clinic in Southern Arizona, 26% were Hispanic and 65% non-Hispanic, with 10% with 9% requiring an interpreter. From this sample, 123 study participants have been recruited (300 target accrual) with a 21% recruitment rate, 46% unable to reach rate, and a 47% decline rate. Notably, of those who declined, 66% reported being compliant at another clinic. The participants were 46% non-Hispanic and 52% Hispanic, with 25% requiring an English/Spanish interpreter. Nearly half had less than or a high school degree and similarly, nearly half had a monthly family income of $2000 or less. On the questionnaire section of knowledge, there were no statistically significant results indicating extensive knowledge, except for how often one should have a mammogram, in which 93% answered correctly. On the Barriers to Getting a Mammogram section, when the data was disaggregated by ethnicity, there was statistically significant (P⇒.05) responses. One barrier identified was financial reasons (P=.05), but interestingly no (0) Hispanics reported financial reasons to be a barrier. Conclusion: The high number of declined due to compliant elsewhere points to the need to develop a business case to sustain lay navigators across the breast cancer continuum, from screening to diagnostic resolution, treatment, survivorship, and/or palliative care. Further, breast cancer and breast screening education materials will be developed in the next phase of this study and interventions to address financial reasons. For more information on this study, please contact Drs. Jorge Gomez (Jorgejgomez@email.arizona.edu), Allison Huff MacPherson (allison7@email.arizona.edu).
Citation Format: Allison Huff MacPherson, Jorge Gomez, Elizabeth Calhoun, Marisa Borders, Kimberly Fitzpatrick, Yessenia Prado, Dora Bezies-Lopez, Chiu-Hsieh Hsu. Identification of barriers to breast cancer screening that affect compliance [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P6-11-13.
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Standaert B, Sauboin C, DeAntonio R, Marijam A, Gomez J, Varghese L, Zhang S. How to assess for the full economic value of vaccines? From past to present, drawing lessons for the future. J Mark Access Health Policy 2020; 8:1719588. [PMID: 32128075 PMCID: PMC7034472 DOI: 10.1080/20016689.2020.1719588] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 12/20/2019] [Accepted: 01/15/2020] [Indexed: 06/10/2023]
Abstract
Background:Cost-effectiveness analysis (CEA) is the economic analysis method most commonly applied today in the context of replacing one treatment with a new one in a developed healthcare system to improve efficiency. CEA is often requested by local healthcare decision-makers to grant reimbursement. New preventative interventions, such as new vaccines, may however have much wider benefits inside and outside healthcare, when compared with treatment. These additional benefits include externalities on indirect clinical impact, reallocation of specific healthcare resources, improved quality of care, better productivity, better disease control, better fiscal revenues, and others. But these effects are sometimes difficult to integrate into a meaningful CEA result. They may appear as specific benefits for specific stakeholders, other than the stakeholders in healthcare. Objective: Based on a historical view about the application of economic assessments for vaccines our objective has been to make the inventory of who was/is interested in knowing the economic value of vaccines, in what those different stakeholders are likely to see the benefit from their perspective and how were/are we able to measure those benefits and to report them well. Results: The historical view disclosed a limited interest in the economic assessment of vaccines at start, more than 50 years ago, that was comparable to the assessment of looking for more efficiency in new industries through optimization exercises. Today, we are exposed to a very rich panoply of different stakeholders (n= 16). They have their specific interest in many different facets of the vaccine benefit of which some are well known in the conventional economic analysis (n=9), but most outcomes are hidden and not enough evaluated and reported (n=26). Meanwhile we discovered that many different methods of evaluation have been explored to facilitate the measurement and reporting of the benefits (n=18). Conclusion: Our recommendation for future economic evaluations of new vaccines is therefore to find the right combination among the three entities of stakeholder type selection, outcome measure of interest for each stakeholder, and the right method to apply. We present at the end examples that illustrate how successful this approach can be.
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Affiliation(s)
| | | | | | - Alen Marijam
- Value Evidence and Outcome, GSK, Collegeville, PA, USA
| | - Jorge Gomez
- R&D Health Outcomes, GSK, Buenos Aires, Argentina
| | | | - Sharon Zhang
- Regional Health Outcomes, GSK, Singapore, Singapore
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Heard VD, Bolookat ER, Rauschenbach B, Martin K, Gomez J, Singh AK, Malhotra H. Dosimetric Implications of Number of Breathing Phases Used in the Definition of Internal Target Volume [ITV] in the Treatment of Non-Small Cell Lung Cancers Using Stereotactic Body Radiation Therapy (SBRT). Ann Lung Cancer 2019; 3:75-83. [PMID: 31942567 PMCID: PMC6961841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Determination of intrafraction motion in stereotactic body radiation therapy (SBRT) of non-small-cell lung cancer (NSCLC) usually involves generating an internal target volume (ITV) based on target segmentation in every one of the 10 phases of a 4-dimensional computed tomography (4DCT) dataset which increases dosimetry work load substantially. This study explores the feasibility of using a smaller number of phases to compile an ITV to get equivalent results. Twenty-five lung cancer patients treated with SBRT were retrospectively assessed. Patients were categorized by the anatomic location of the GTV within different lobes of the lungs, 5 in each lobe. Ten GTVs were contoured by the radiation oncologist in 10 different phases of one complete respiratory cycle. Five samples (Sample 1-5) were created using (0%, 20%, 40%, 60%, 80% i.e. taking every other phase), (0%, 30%, 60%, 90% i.e. skipping two successive phases), (0%, 20%, 30%, 50% i.e. essentially taking inhale, exhale & a phase in between), (0%, 30%, 60%), (0%, 50% i.e. using completely inhale and exhale phase only) phase GTVs, 0% is designated as the most inhaled phase and 50% as the most exhaled phase. Appropriate sample ITVs and PTVs were created in the same manner as the clinical plan which was then adapted to each sample set with minimal modification. Sample plans were compared for equivalent dose coverage, center of mass, and ITV/PTV volume differences against the clinical treatment plan. The average % ITV underestimation against the clinical ITV increased from a minimum of 7.3% in sample 1 (0%, 20%, 40%, 60%, 80%) to a maximum of 24.5% in sample 5 (0% & 50%) under the conditions of controlled breathing. A similar trend was seen in other samples with the underestimation in the ITV/PTV volume increasing with the decrease in the number of phases irrespective of the tumor location. The average variation in the center of mass of the ITV was minimal (0.43 ± 0.11 mm). Use of ITV/PTV combination derived from using less than all 10 phases resulted in the maximum clinical PTV under-dosage of 5.9% for sample 1 and 12.3% for sample 5, respectively. If fewer phases in the generation of ITV are used, a larger ITV-to-PTV margin might be necessary to get equivalent PTV coverage.
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Affiliation(s)
- Von Darius Heard
- Department of Radiation Medicine, Roswell Park Cancer Institute, USA
| | | | | | - Kate Martin
- Department of Radiation Medicine, Roswell Park Cancer Institute, USA
| | - Jorge Gomez
- Department of Radiation Medicine, Roswell Park Cancer Institute, USA
| | - Anurag K Singh
- Department of Radiation Medicine, Roswell Park Cancer Institute, USA
| | - Harish Malhotra
- Department of Radiation Medicine, Roswell Park Cancer Institute, USA
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Marron T, Wolf A, Flores R, Veluswamy R, Gomez J, Beasley M, Yankelevitz D, Leader A, Lowy I, Miller E, Thurston G, Jankovic V, Deering R, Brown B, Rahman A, Gnjatic S, Hirsch F, Bhardwaj N, Merad M. EP1.04-15 NSCLC Response Determinants to Chemoimmunotherapy: Deep Profiling of Tumors Following Neoadjuvant Cemiplimab and Chemotherapy. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.2143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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40
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Gomez J, Nudell Y, Hagiwara M, Glickman R. Simultaneous Audio Recording and Cine Magnetic Resonance Imaging of the TMJ: A Feasability Study. J Oral Maxillofac Surg 2019. [DOI: 10.1016/j.joms.2019.06.170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Lopez IH, Gomez J, Torres L, Acosta J, Arquez M, LaFuerza A, Martinez F, Miranda M, Arenas M. Influence of Statins on Survival Outcome in Patients with Metastatic Castration-Resistant Prostate Cancer Treated with Androgen Receptor Inhibitors. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.1908] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Batai K, Gachupin FC, Estrada AL, Garcia DO, Gomez J, Kittles RA. Patterns of Cancer Related Health Disparities in Arizona. Cancer Health Disparities 2019; 3:e1-e20. [PMID: 31938767 PMCID: PMC6959217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Cancer incidence rates vary regionally among American Indians (AIs) and Latinos. The goal of this was to identify areas of research necessary to reduce cancer health disparities in AIs and Latinos, the two major racial/ethnic minority groups in Arizona. In an effort to better understand cancer health disparities, cancer incidence rates in AIs and Latinos in Arizona were compared to non-Hispanic Whites (NHWs). Age-adjusted incidence rates (per 100,000) were obtained from the Arizona Cancer Registry and the North American Association of Central Cancer Registries. Spearman's rank test was used to examine correlation between county-level cancer incidence rates and socio-demographic factors. AIs and Latinos had lower incidence rates of screening for detectable cancers than NHWs. Among older men (age ≥65), however, AIs and Latinos had similar prostate cancer incidence rates to NHWs. Some of less common cancers, such as kidney, stomach, liver, and gallbladder, were more frequently diagnosed in AIs and Latinos than NHWs. AIs and Latinos were more likely to be diagnosed with advanced cancer stage, except for cervical cancer. Correlations between prostate and breast cancer incidence rates and percent urban residents as well as correlations between incidence rates of these two cancer types and population size were significantly positive. Poverty levels were inversely correlated with colorectal and lung cancer incidence rates. Our review of cancer incidence rates suggests that socio-demographic factors, such as population size (rural/urban) and poverty levels, have influenced cancer detection and incidence rates in Arizona.
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Affiliation(s)
- Ken Batai
- Division of Urology, Department of Surgery, University of Arizona, University of Arizona Cancer Center, 1515 N. Campbell Ave., P.O. Box 245024 Tucson, AZ 85724
| | - Francine C Gachupin
- Department of Family and Community Medicine, University of Arizona, P.O. Box 245052 Tucson, AZ 85724
| | - Antonio L Estrada
- Department of Mexican American Studies, University of Arizona Cesar E. Chavez Building, 1110 E. James E. Rogers Way, P.O. Box 210023 Tucson, AZ 85721
| | - David O Garcia
- Department of Health Promotion Sciences, University of Arizona Mel and Enid Zuckerman College of Public Health, 3950 S. Country Club, Suite 330, Tucson, AZ 85714
| | - Jorge Gomez
- Department of Community, Environment, and Policy 1295 N. Martin Ave., PO Box: 210202, Tucson, AZ 85724
| | - Rick A Kittles
- Division of Health Equities, Department of Population Sciences, City of Hope Comprehensive Cancer Center, 1500 E. Duarte Rd Duarte, CA 91010-3000
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Fang Y, Wang Z, Gomez J, Datta S, Khan AI, Raychowdhury A. A Swarm Optimization Solver Based on Ferroelectric Spiking Neural Networks. Front Neurosci 2019; 13:855. [PMID: 31456659 PMCID: PMC6700359 DOI: 10.3389/fnins.2019.00855] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 07/30/2019] [Indexed: 11/13/2022] Open
Abstract
As computational models inspired by the biological neural system, spiking neural networks (SNN) continue to demonstrate great potential in the landscape of artificial intelligence, particularly in tasks such as recognition, inference, and learning. While SNN focuses on achieving high-level intelligence of individual creatures, Swarm Intelligence (SI) is another type of bio-inspired models that mimic the collective intelligence of biological swarms, i.e., bird flocks, fish school and ant colonies. SI algorithms provide efficient and practical solutions to many difficult optimization problems through multi-agent metaheuristic search. Bridging these two distinct subfields of artificial intelligence has the potential to harness collective behavior and learning ability of biological systems. In this work, we explore the feasibility of connecting these two models by implementing a generalized SI model on SNN. In the proposed computing paradigm, we use SNNs to represent agents in the swarm and encode problem solutions with the spike firing rate and with spike timing. The coupled neurons communicate and modulate each other's action potentials through event-driven spikes and synchronize their dynamics around the states of optimal solutions. We demonstrate that such an SI-SNN model is capable of efficiently solving optimization problems, such as parameter optimization of continuous functions and a ubiquitous combinatorial optimization problem, namely, the traveling salesman problem with near-optimal solutions. Furthermore, we demonstrate an efficient implementation of such neural dynamics on an emerging hardware platform, namely ferroelectric field-effect transistor (FeFET) based spiking neurons. Such an emerging in-silico neuron is composed of a compact 1T-1FeFET structure with both excitatory and inhibitory inputs. We show that the designed neuromorphic system can serve as an optimization solver with high-performance and high energy-efficiency.
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Affiliation(s)
- Yan Fang
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Zheng Wang
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Jorge Gomez
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, United States
| | - Suman Datta
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, United States
| | - Asif I Khan
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Arijit Raychowdhury
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States
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Dutta S, Parihar A, Khanna A, Gomez J, Chakraborty W, Jerry M, Grisafe B, Raychowdhury A, Datta S. Programmable coupled oscillators for synchronized locomotion. Nat Commun 2019; 10:3299. [PMID: 31341167 PMCID: PMC6656780 DOI: 10.1038/s41467-019-11198-6] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 06/21/2019] [Indexed: 01/25/2023] Open
Abstract
The striking similarity between biological locomotion gaits and the evolution of phase patterns in coupled oscillatory network can be traced to the role of central pattern generator located in the spinal cord. Bio-inspired robotics aim at harnessing this control approach for generation of rhythmic patterns for synchronized limb movement. Here, we utilize the phenomenon of synchronization and emergent spatiotemporal pattern from the interaction among coupled oscillators to generate a range of locomotion gait patterns. We experimentally demonstrate a central pattern generator network using capacitively coupled Vanadium Dioxide nano-oscillators. The coupled oscillators exhibit stable limit-cycle oscillations and tunable natural frequencies for real-time programmability of phase-pattern. The ultra-compact 1 Transistor-1 Resistor implementation of oscillator and bidirectional capacitive coupling allow small footprint area and low operating power. Compared to biomimetic CMOS based neuron and synapse models, our design simplifies on-chip implementation and real-time tunability by reducing the number of control parameters. Designing alternative paradigms for bio-inspired analog computing that harnesses collective dynamics remains a challenge. Here, the authors exploit the synchronization dynamics of coupled vanadium dioxide-based insulator-to-metal phase-transition nano-oscillators for adaptive locomotion control.
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Affiliation(s)
- Sourav Dutta
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA.
| | - Abhinav Parihar
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Abhishek Khanna
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - Jorge Gomez
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - Wriddhi Chakraborty
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - Matthew Jerry
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - Benjamin Grisafe
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - Arijit Raychowdhury
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Suman Datta
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA
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Navarro I, Correa R, Otero A, Roman A, Zapata I, Fernandez A, Prieto P, Segado S, Jodar C, Garrido C, Medina J, Gomez J. EP-1581 Good tolerability of hypofractionated radiation therapy for localized prostate cancer. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)32001-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Huff AJ, Gomez J, Calhoun E, Hsu CH, Chalasani P, Fitzpatrick K, Borders M, Lang L, Prado Y. Abstract P5-13-19: Addressing non-adherence for breast cancer screening across ethnicity in southern Arizona. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p5-13-19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background In Arizona, female breast cancer has the highest incidence rate and the second highest death rate compared to all other cancers. This ongoing single arm intervention study investigates non-adherence with recommended annual mammography or follow-up breast imaging. Data collected for this study is both retrospective, using the university Electronic Health Record (EHR) system (January 1, 2014 to September 30, 2017), and prospective, implementing a questionnaire during the intervention phase. Potential study participants were identified using EHR and categorized by BI-RADS (Breast Imaging-Reporting and Data System) 0 to 5. With IRB approval from University of Arizona, we designed a questionnaire to measure barriers to adherence and we navigate participants to schedule and attend follow-up appointments. This study's overall specific aims are to increase first time mammography screening by 25% among women in Southern Arizona; increase adherence or repeat screening rate by 20% among women lost to follow-up; establish the framework for a community- academic partnership in ethnically diverse areas. Women, age 40 and older who are not compliant with recommended annual mammograms or recommended follow-up screenings after a suspicious finding are eligible to participate in this study. Men and children, as well as women for whom breast imaging is not recommended are excluded from participating in this study. Results Patient's age was summarized by mean ± standard deviation for continuous variables and frequency and the associated percentage for categorical variables. BI-RADS scores were classified into Negative, Benign, Possible Malignancy and Proven Malignancy and compared between ethnic and racial groups using Fisher's exact test. Of 8823 non-compliant woman over nearly 4 years of data, 0.2% are BI-RADS 4 and 5, 2.2% are BI-RADS 3, 96% are BI-RADS 1 and 2, and 0.3% are BI-RADS 0. The mean age is 61.59 years, with 25% reporting as Hispanic, 66% reporting as non-Hispanic women (NHW), and 10% preferring to receive care in Spanish. Initial data shows only .24% with proven malignancies. Further, the data reveals that Hispanics have a slightly higher rate of possible malignancy (.36%) than NHW (.18%); however, NHW show a slightly higher rate of proven malignancy (.27% compared to .18%, respectively). Discussion These data provide valuable information for the direction of this study; in particular, understanding the disparity between Hispanic and NHW malignancies and developing culturally competent interventions and education materials to increase compliance with breast cancer screening recommendations. Further, these data indicate our focus should be on screening compliance for BI-RADS 1 and 2. These data also point to a possible high non-compliance issue. Comparing non-compliance data from other regional clinics will continue to shape this study's direction. The target sample size for this study is 300 participants. We accept a 95% confidence level and a 5% margin of error. Out of 420 recruitment letters mailed, the navigators have reached 152 potential participants by phone and have a 26% study recruitment rate (n=40).
Citation Format: Huff AJ, Gomez J, Calhoun E, Hsu C-H, Chalasani P, Fitzpatrick K, Borders M, Lang L, Prado Y. Addressing non-adherence for breast cancer screening across ethnicity in southern Arizona [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P5-13-19.
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Affiliation(s)
- AJ Huff
- University of Arizona, Tucson, AZ
| | - J Gomez
- University of Arizona, Tucson, AZ
| | | | - C-H Hsu
- University of Arizona, Tucson, AZ
| | | | | | | | - L Lang
- University of Arizona, Tucson, AZ
| | - Y Prado
- University of Arizona, Tucson, AZ
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47
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Armstrong W, Kang H, Liyanage A, Maxwell J, Mulholland J, Ndukum L, Ahmidouch A, Albayrak I, Asaturyan A, Ates O, Baghdasaryan H, Boeglin W, Bosted P, Brash E, Butuceanu C, Bychkov M, Carter P, Chen C, Chen JP, Choi S, Christy ME, Covrig S, Crabb D, Danagoulian S, Daniel A, Davidenko AM, Davis B, Day D, Deconinck W, Deur A, Dunne J, Dutta D, El Fassi L, Ellis C, Ent R, Flay D, Frlez E, Gaskell D, Geagla O, German J, Gilman R, Gogami T, Gomez J, Goncharenko YM, Hashimoto O, Higinbotham D, Horn T, Huber GM, Jones M, Jones MK, Kalantarians N, Kang HK, Kawama D, Keith C, Keppel C, Khandaker M, Kim Y, King PM, Kohl M, Kovacs K, Kubarovsky V, Li Y, Liyanage N, Luo W, Mack D, Mamyan V, Markowitz P, Maruta T, Meekins D, Melnik YM, Meziani ZE, Mkrtchyan A, Mkrtchyan H, Mochalov VV, Monaghan P, Narayan A, Nakamura SN, Nuruzzaman A, Pentchev L, Pocanic D, Posik M, Puckett A, Qiu X, Reinhold J, Riordan S, Roche J, Rondón OA, Sawatzky B, Shabestari M, Slifer K, Smith G, Soloviev LF, Solvignon P, Tadevosyan V, Tang L, Vasiliev AN, Veilleux M, Walton T, Wesselmann F, Wood S, Yao H, Ye Z, Zhang J, Zhu L. Revealing Color Forces with Transverse Polarized Electron Scattering. Phys Rev Lett 2019; 122:022002. [PMID: 30720291 DOI: 10.1103/physrevlett.122.022002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Revised: 10/18/2018] [Indexed: 06/09/2023]
Abstract
The Spin Asymmetries of the Nucleon Experiment measured two double spin asymmetries using a polarized proton target and polarized electron beam at two beam energies, 4.7 and 5.9 GeV. A large-acceptance open-configuration detector package identified scattered electrons at 40° and covered a wide range in Bjorken x (0.3<x<0.8). Proportional to an average color Lorentz force, the twist-3 matrix element, d[over ˜]_{2}^{p}, was extracted from the measured asymmetries at Q^{2} values ranging from 2.0 to 6.0 GeV^{2}. The data display the opposite sign compared to most quark models, including the lattice QCD result, and an unexpected scale dependence. Furthermore, when combined with the neutron data in the same Q^{2} range the results suggest a flavor independent average color Lorentz force.
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Affiliation(s)
- W Armstrong
- Temple University, Philadelphia, Pennsylvania 19122, USA
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - H Kang
- Seoul National University, Seoul, South Korea
| | - A Liyanage
- Hampton University, Hampton, Virginia 23669, USA
| | - J Maxwell
- University of Virginia, Charlottesville, Virginia 22904, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Mulholland
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - L Ndukum
- Mississippi State University, Starkville, Mississippi 39759, USA
| | - A Ahmidouch
- North Carolina A&M State University, Greensboro, North Carolina 27411, USA
| | - I Albayrak
- Hampton University, Hampton, Virginia 23669, USA
| | - A Asaturyan
- Yerevan Physics Institute, 0036, Yerevan, Armenia
| | - O Ates
- Hampton University, Hampton, Virginia 23669, USA
| | - H Baghdasaryan
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - W Boeglin
- Florida International University, Miami, Florida 33199, USA
| | - P Bosted
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Brash
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - C Butuceanu
- University of Regina, Regina, Saskatchewan, S4S 0A2, Canada
| | - M Bychkov
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - P Carter
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - C Chen
- Hampton University, Hampton, Virginia 23669, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Choi
- Seoul National University, Seoul, South Korea
| | - M E Christy
- Hampton University, Hampton, Virginia 23669, USA
| | - S Covrig
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Crabb
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Danagoulian
- North Carolina A&M State University, Greensboro, North Carolina 27411, USA
| | - A Daniel
- Ohio University, Athens, Ohio 45701, USA
| | - A M Davidenko
- Kurchatov Institute-IHEP, Protvino, Moskva 123098, Russia
| | - B Davis
- North Carolina A&M State University, Greensboro, North Carolina 27411, USA
| | - D Day
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - W Deconinck
- William & Mary, Williamsburg, Virginia 23185, USA
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Dunne
- Mississippi State University, Starkville, Mississippi 39759, USA
| | - D Dutta
- Mississippi State University, Starkville, Mississippi 39759, USA
| | - L El Fassi
- Mississippi State University, Starkville, Mississippi 39759, USA
- Rutgers University, New Brunswick, New Jersey 08901, USA
| | - C Ellis
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Ent
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Flay
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - E Frlez
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - O Geagla
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - J German
- North Carolina A&M State University, Greensboro, North Carolina 27411, USA
| | - R Gilman
- Rutgers University, New Brunswick, New Jersey 08901, USA
| | - T Gogami
- Tohoku University, Tohoku, Miyagi Prefecture 980-8577, Japan
| | - J Gomez
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - O Hashimoto
- Tohoku University, Tohoku, Miyagi Prefecture 980-8577, Japan
| | - D Higinbotham
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Horn
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - G M Huber
- University of Regina, Regina, Saskatchewan, S4S 0A2, Canada
| | - M Jones
- North Carolina A&M State University, Greensboro, North Carolina 27411, USA
| | - M K Jones
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N Kalantarians
- University of Virginia, Charlottesville, Virginia 22904, USA
- Virginia Union University, Richmond, Virginia 23220, USA
| | - H-K Kang
- Seoul National University, Seoul, South Korea
| | - D Kawama
- Tohoku University, Tohoku, Miyagi Prefecture 980-8577, Japan
| | - C Keith
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Keppel
- Hampton University, Hampton, Virginia 23669, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Khandaker
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - Y Kim
- Seoul National University, Seoul, South Korea
| | - P M King
- Ohio University, Athens, Ohio 45701, USA
| | - M Kohl
- Hampton University, Hampton, Virginia 23669, USA
| | - K Kovacs
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - V Kubarovsky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Rensselaer Polytechnic Institute, Troy, New York 12180, USA
| | - Y Li
- Hampton University, Hampton, Virginia 23669, USA
| | - N Liyanage
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - W Luo
- Lanzhou University, Lanzhou, Gansu Sheng, China
| | - D Mack
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Mamyan
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | - T Maruta
- Tohoku University, Tohoku, Miyagi Prefecture 980-8577, Japan
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Y M Melnik
- Kurchatov Institute-IHEP, Protvino, Moskva 123098, Russia
| | - Z-E Meziani
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - A Mkrtchyan
- Yerevan Physics Institute, 0036, Yerevan, Armenia
| | - H Mkrtchyan
- Yerevan Physics Institute, 0036, Yerevan, Armenia
| | - V V Mochalov
- Kurchatov Institute-IHEP, Protvino, Moskva 123098, Russia
| | - P Monaghan
- Hampton University, Hampton, Virginia 23669, USA
| | - A Narayan
- Mississippi State University, Starkville, Mississippi 39759, USA
| | - S N Nakamura
- Tohoku University, Tohoku, Miyagi Prefecture 980-8577, Japan
| | - A Nuruzzaman
- Mississippi State University, Starkville, Mississippi 39759, USA
| | - L Pentchev
- William & Mary, Williamsburg, Virginia 23185, USA
| | - D Pocanic
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - A Puckett
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - X Qiu
- Hampton University, Hampton, Virginia 23669, USA
| | - J Reinhold
- Florida International University, Miami, Florida 33199, USA
| | - S Riordan
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - J Roche
- Ohio University, Athens, Ohio 45701, USA
| | - O A Rondón
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - B Sawatzky
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - M Shabestari
- University of Virginia, Charlottesville, Virginia 22904, USA
- Mississippi State University, Starkville, Mississippi 39759, USA
| | - K Slifer
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - G Smith
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L F Soloviev
- Kurchatov Institute-IHEP, Protvino, Moskva 123098, Russia
| | - P Solvignon
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - V Tadevosyan
- Yerevan Physics Institute, 0036, Yerevan, Armenia
| | - L Tang
- Hampton University, Hampton, Virginia 23669, USA
| | - A N Vasiliev
- Kurchatov Institute-IHEP, Protvino, Moskva 123098, Russia
| | - M Veilleux
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - T Walton
- Hampton University, Hampton, Virginia 23669, USA
| | - F Wesselmann
- Xavier University, New Orleans, Louisiana 70125, USA
| | - S Wood
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Yao
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - Z Ye
- Hampton University, Hampton, Virginia 23669, USA
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - L Zhu
- Hampton University, Hampton, Virginia 23669, USA
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Briceno J, Ciria R, López P, Luque A, Arjona-Sanchez A, Sánchez-Hidalgo J, Ayllón M, Gómez-Luque I, Gomez J. Laparoscopic Living Donor Hepatectomy for Pediatric Liver Transplantation: the First 7 Cases in Spain. Transplant Proc 2019; 51:56-57. [DOI: 10.1016/j.transproceed.2018.03.140] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 03/15/2018] [Indexed: 10/28/2022]
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Mohatt DJ, Ma T, Wiant DB, Islam NM, Gomez J, Singh AK, Malhotra HK. Technical and dosimetric implications of respiratory induced density variations in a heterogeneous lung phantom. Radiat Oncol 2018; 13:165. [PMID: 30180894 PMCID: PMC6124019 DOI: 10.1186/s13014-018-1110-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 08/21/2018] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Stereotactic Body Radiotherapy (SBRT) is an ablative dose delivery technique which requires the highest levels of precision and accuracy. Modeling dose to a lung treatment volume has remained a complex and challenging endeavor due to target motion and the low density of the surrounding media. When coupled together, these factors give rise to pulmonary induced tissue heterogeneities which can lead to inaccuracies in dose computation. This investigation aims to determine which combination of imaging techniques and computational algorithms best compensates for time dependent lung target displacements. METHODS A Quasar phantom was employed to simulate respiratory motion for target ranges up to 3 cm. 4DCT imaging was used to generate Average Intensity Projection (AIP), Free Breathing (FB), and Maximum Intensity Projection (MIP) image sets. In addition, we introduce and compare a fourth dataset for dose computation based on a novel phase weighted density (PWD) technique. All plans were created using Eclipse version 13.6 treatment planning system and calculated using the Analytical Anisotropic Algorithm and Acuros XB. Dose delivery was performed using Truebeam STx linear accelerator where radiochromic film measurements were accessed using gamma analysis to compare planned versus delivered dose. RESULTS In the most extreme case scenario, the mean CT difference between FB and MIP datasets was found to be greater than 200 HU. The near maximum dose discrepancies between AAA and AXB algorithms were determined to be marginal (< 2.2%), with a greater variability occurring within the near minimum dose regime (< 7%). Radiochromatic film verification demonstrated all AIP and FB based computations exceeded 98% passing rates under conventional radiotherapy tolerances (gamma 3%, 3 mm). Under more stringent SBRT tolerances (gamma 3%, 1 mm), the AIP and FB based treatment plans exhibited higher pass rates (> 85%) when compared to MIP and PWD (< 85%) for AAA computations. For AXB, however, the delivery accuracy for all datasets were greater than 85% (gamma 3%,1 mm), with a corresponding reduction in overall lung irradiation. CONCLUSIONS Despite the substantial density variations between computational datasets over an extensive range of target movement, the dose difference between CT datasets is small and could not be quantified with ion chamber. Radiochromatic film analysis suggests the optimal CT dataset is dependent on the dose algorithm used for evaluation. With AAA, AIP and FB resulted in the best conformance between measured versus calculated dose for target motion ranging up to 3 cm under both conventional and SBRT tolerance criteria. With AXB, pass rates improved for all datasets with the PWD technique demonstrating slightly better conformity over AIP and FB based computations (gamma 3%, 1 mm). As verified in previous studies, our results confirm a clear advantage in delivery accuracy along with a relative decrease in calculated dose to the lung when using Acuros XB over AAA.
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Affiliation(s)
- Dennis J Mohatt
- Medical Physics Program, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, 14214-3005, USA. .,Department of Radiation Medicine, Roswell Park Cancer Institute, Buffalo, NY, 14293, USA.
| | - Tianjun Ma
- Medical Physics Program, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, 14214-3005, USA.,Department of Radiation Medicine, Roswell Park Cancer Institute, Buffalo, NY, 14293, USA
| | - David B Wiant
- Radiation Oncology, Cone Health Cancer Center, Greensboro, NC, 27403, USA
| | - Naveed M Islam
- Medical Physics Program, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, 14214-3005, USA.,Department of Radiation Medicine, Roswell Park Cancer Institute, Buffalo, NY, 14293, USA
| | - Jorge Gomez
- Department of Radiation Medicine, Roswell Park Cancer Institute, Buffalo, NY, 14293, USA
| | - Anurag K Singh
- Department of Radiation Medicine, Roswell Park Cancer Institute, Buffalo, NY, 14293, USA
| | - Harish K Malhotra
- Medical Physics Program, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, 14214-3005, USA.,Department of Radiation Medicine, Roswell Park Cancer Institute, Buffalo, NY, 14293, USA
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Flores R, Taioli E, Yankelevitz DF, Becker BJ, Jirapatnakul A, Reeves A, Schwartz R, Yip R, Fevrier E, Tam K, Steiger B, Henschke CI, Flores R, Kaufman A, Lee DS, Nicastri D, Wolf A, Rosenzweig K, Gomez J, Beasley MB, Zakowski M, Chung M, Yankelevitz D, Henschke C, Futamura R, Kantor S, Wallace C, Bhora F, Raad W, Evans A, Choi W, Buyuk Z, Friedman A, Dreifuss R, Verzosa S, Yakubox M, Aloferdova K, Stacey P, De Nobrega S, Futamura R, Kantor S, Wallace C, Hakami A, Tam K, Wallace C, Pass H, Crawford B, Donnington J, Cooper B, Moreirea A, Sorensen A, Kohman L, Dunton R, Wallen J, Curtiss C, Scalzetti E, Ellinwood L, Aye R, Vallieres E, Louie B, Frivar A, Mehta V, Manning K, Chona M, Smith A, Connery CP, Torres E, Cruzer D, Gendron B, Alyea S, Lackaye D, Studer L, Flores R, Henschke C, Taioli E, Yankelevitz D, Becker B, Jirapatnakul A, Reeves A, Schwartz R, Yip R, Fevrier E, Tam K, Steiger B. Initiative for Early Lung Cancer Research on Treatment: Development of Study Design and Pilot Implementation. J Thorac Oncol 2018; 13:946-957. [DOI: 10.1016/j.jtho.2018.03.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Revised: 01/31/2018] [Accepted: 03/04/2018] [Indexed: 01/15/2023]
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