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Abratenko P, An R, Anthony J, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Cavanna F, Cerati G, Chen Y, Cianci D, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans JJ, Fine R, Fiorentini Aguirre GA, Fitzpatrick RS, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hilgenberg C, Horton-Smith GA, Hourlier A, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, Lepetic I, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Manivannan K, Mariani C, Marsden D, Marshall J, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Nebot-Guinot M, Neely RK, Newmark DA, Nowak J, Nunes M, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Patel N, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rice LCJ, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc AM, Tang W, Terao K, Thorpe C, Totani D, Toups M, Tsai YT, Uchida MA, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yarbrough G, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. First Measurement of Energy-Dependent Inclusive Muon Neutrino Charged-Current Cross Sections on Argon with the MicroBooNE Detector. PHYSICAL REVIEW LETTERS 2022; 128:151801. [PMID: 35499871 DOI: 10.1103/physrevlett.128.151801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 03/09/2022] [Indexed: 06/14/2023]
Abstract
We report a measurement of the energy-dependent total charged-current cross section σ(E_{ν}) for inclusive muon neutrinos scattering on argon, as well as measurements of flux-averaged differential cross sections as a function of muon energy and hadronic energy transfer (ν). Data corresponding to 5.3×10^{19} protons on target of exposure were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab booster neutrino beam with a mean neutrino energy of approximately 0.8 GeV. The mapping between the true neutrino energy E_{ν} and reconstructed neutrino energy E_{ν}^{rec} and between the energy transfer ν and reconstructed hadronic energy E_{had}^{rec} are validated by comparing the data and Monte Carlo (MC) predictions. In particular, the modeling of the missing hadronic energy and its associated uncertainties are verified by a new method that compares the E_{had}^{rec} distributions between data and a MC prediction after constraining the reconstructed muon kinematic distributions, energy, and polar angle to those of data. The success of this validation gives confidence that the missing energy in the MicroBooNE detector is well modeled and underpins first-time measurements of both the total cross section σ(E_{ν}) and the differential cross section dσ/dν on argon.
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Abratenko P, An R, Anthony J, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Cianci D, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans JJ, Fine R, Fiorentini Aguirre GA, Fitzpatrick RS, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hilgenberg C, Horton-Smith GA, Hourlier A, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Manivannan K, Mariani C, Marsden D, Marshall J, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Murphy M, Murrells R, Naples D, Navrer-Agasson A, Nebot-Guinot M, Neely RK, Newmark DA, Nowak J, Nunes M, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Patel N, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rice LCJ, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc AM, Tang W, Terao K, Thorpe C, Totani D, Toups M, Tsai YT, Uchida MA, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yarbrough G, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. Search for Neutrino-Induced Neutral-Current Δ Radiative Decay in MicroBooNE and a First Test of the MiniBooNE Low Energy Excess under a Single-Photon Hypothesis. PHYSICAL REVIEW LETTERS 2022; 128:111801. [PMID: 35363017 DOI: 10.1103/physrevlett.128.111801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 02/10/2022] [Indexed: 06/14/2023]
Abstract
We report results from a search for neutrino-induced neutral current (NC) resonant Δ(1232) baryon production followed by Δ radiative decay, with a ⟨0.8⟩ GeV neutrino beam. Data corresponding to MicroBooNE's first three years of operations (6.80×10^{20} protons on target) are used to select single-photon events with one or zero protons and without charged leptons in the final state (1γ1p and 1γ0p, respectively). The background is constrained via an in situ high-purity measurement of NC π^{0} events, made possible via dedicated 2γ1p and 2γ0p selections. A total of 16 and 153 events are observed for the 1γ1p and 1γ0p selections, respectively, compared to a constrained background prediction of 20.5±3.65(syst) and 145.1±13.8(syst) events. The data lead to a bound on an anomalous enhancement of the normalization of NC Δ radiative decay of less than 2.3 times the predicted nominal rate for this process at the 90% confidence level (C.L.). The measurement disfavors a candidate photon interpretation of the MiniBooNE low-energy excess as a factor of 3.18 times the nominal NC Δ radiative decay rate at the 94.8% C.L., in favor of the nominal prediction, and represents a greater than 50-fold improvement over the world's best limit on single-photon production in NC interactions in the sub-GeV neutrino energy range.
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Johnson G, Vergis A, Unger B, Park J, Gillman L, Hickey K, Pace D, Azin A, Guidolin K, Lam-Tin-Cheung K, Chadi S, Quereshy F, Guidolin K, Catton J, Rubin B, Bell J, Marangos J, Heesters A, Stuart-McEwan T, Quereshy F, Shariff F, Wright F, Ahmed N, Nadler A, Hallet J, Gentles J, Chen L, Hwang H, Parapini M, Hirpara D, Sidhu R, Scott T, Karimuddin A, Guo R, Nguyen A, Osborn J, Wiseman S, Nabata K, Ertel E, Hwang H, Lenet T, Baker L, Park L, Vered M, Zahrai A, Shorr R, Davis A, McIsaac D, Tinmouth A, Fergusson D, Martel G, Nabata K, Rummel S, Stefic-Cubic M, Karimuddin A, Stewart M, Melck A, McKechnie T, Anpalagan T, Ichhpuniani S, Lee Y, Ramji K, Eskicioglu C, Zhu A, Deng S, Greene B, Tsang M, Palter V, Jayaraman S, McKechnie T, Mann A, Tittley J, Cadeddu M, Nguyen M, Madani A, Pasternak J, McKechnie T, Ramji K, Hong D, Qu L, Istl A, Tang E, Gray D, Zuckerman J, Coburn N, Callum J, McLeod R, Pearsall E, Lin Y, Turgeon A, Martel G, Hallet J, Mahar A, Kammili A, Kriviraltcheva-Kaneva P, Lee L, Cools-Lartigue J, Ferri L, Mueller C, Zuckerman J, Haas B, Tillman B, Guttman M, Chesney T, Zuk V, Mahar A, Hsu A, Chan W, Vasdev R, Coburn N, Hallet J, D'Souza K, Huynh C, Ling LCJ, Warburton R, Hwang H, Hameed M, Glass L, Williamson H, Murphy P, Tang E, Leslie K, Hawel J, Kerr L, Zablotny S, Roldan H, He W, Jiang X, Zheng B, Lee L, Fiore J, Feldman L, Fried G, Mueller C, Valanci S, Balvardi S, Cipolla J, Kaneva P, Demyttenaere S, Boutros M, Lee L, Feldman L, Fiore J, Balvardi S, Alhashemi M, Cipolla J, Lee L, Fiore J, Feldman L, Miles A, Purich K, Verhoeff K, Shapiro J, Bigam D, Kung J, Fecso A, Chesney T, Mosko J, Skubleny D, Hamilton P, Ghosh S, Widder S, Schiller D, Do U, El Kefraoui C, Pook M, Barone N, Balvardi S, Montgomery H, Nguyen-Powanda P, Rajabiyazdi F, Elhaj H, Lapointe-Gagner M, Olleik G, Kaneva P, Antoun A, Safa N, Di Lena E, Meterissian S, Meguerditchian A, Fried G, Alhashemi M, Lee F, Baldini G, Feldman L, Fiore J, Serrano Aybar PE, Parpia S, Ruo L, Tywonek K, Lee S, O'Neill C, Faisal N, Alfayyadh A, Gundayao M, Meyers BM, Habashi R, Kruse C, McKechnie T, Levin M, Aldrich K, Grantcharov T, Langerman A, Forbes H, Anantha R, Fawcett V, Hetherington A, Pravong V, Gervais M, Rakovich G, Selvam R, Hu R, Musselman R, Raiche I, Moloo H, Liu R, Elnahas A, Alkhamesi N, Hawel J, Tang E, Alnumay A, Schlachta C, Walser E, Zhang C, Cristancho S, Ott M, Lee A, Niu B, Balaa F, Gawad N, Ren K, Qiu Y, Hamann K, How N, Leveille C, Davidson A, Eqbal A, Sardiwalla Y, Korostensky M, McKechnie T, Lee E, Yang I, Ren K, Muaddi H, Stukel T, de Mestral C, Nathens A, Karanicolas P, Frigault J, Lemieux S, Breton D, Bouchard P, Bouchard A, Grégoire R, Letarte F, Bouchard G, Drolet S, Frigault J, Avoine S, Drolet S, Letarte F, Bouchard A, Gagné J, Thibault C, Grégoire R, Jutras Bouthillette N, Gosselin M, Bouchard P, Rosenzveig A, Stuleanu T, Jarrar A, Kolozsvari N, Skelhorne-Gross G, Nenshi R, Jerath A, Gomez D, Singh K, Amir T, Liu E, Farquharson S, Mao R, Lan L, Yan J, Allard-Coutu A, Mierzwa A, Tin R, Brisebois R, Bradley N, Wigen R, Walser E, Hartford L, Van Koughnett J, Vogt K, Hilsden R, Parry N, Allen L, Leslie K, Raskin R, Jones J, Neumann K, Dwyer C, Strickland M, Bradley N, O'Dochartaigh D, Lobay K, Kabaroff A, Chang E, Widder S, Anantha R, Sun W, Beck J, Anantha R, Liu R, Davidson J, Jones S, Van Hooren T, Van Koughnett J, Ott M, Schmitz E, Raiche I, Sun W, El Hafid M, Dang J, Mocanu V, Lutzak G, Sultanian R, Wong C, Karmali S, Schmitz E, Petrera M, Pickell M, Auer R, Patro N, Li B, Lee Y, Wilson H, Mocanu V, Sun W, Dang J, Jogiat U, Kung J, Switzer N, Karmali S, Wong C, Li C, Al Hinai A, Cieply A, Hawes H, Joos E, Saleh A, Li C, Saleh A, Engels P, Drung J, Allen L, Leslie K, Pang G, Kwong M, Schlachta C, Alkhamesi N, Hawel J, Elnahas A, Guidolin K, Ellsmere J, Chadi S, Quereshy F, Chang D, Hutter M, Spence R, Abou Khalil M, Boutros M, Vasilevsky C, Morin N, Longtin Y, Liberman S, Demyttenaere S, Montpetit P, Poirier M, Mukherjee K, Sebajang H, Younan R, Schwenter F, De Broux E, Larsen K, Skelhorne-Gross G, Beckett A, Nantais J, Gomez D, Lan L, Mao R, Kay J, Lohre R, Ayeni O, Goel D, de Sa D, He R, Hylton D, Bedard E, Johnson S, Laing B, Valji A, Hanna W, Turner S, Akhtar-Danesh G, Akhtar-Danesh N, Shargall Y, Akhtar-Danesh G, Akhtar-Danesh N, Shargall Y, Hirpara D, Gupta V, Kidane B, Limbachia J, Sullivan K, Farrokhyar F, Leontiadis G, Patel Y, Churchill I, Hylton D, Xie F, Seely A, Spicer J, Kidane B, Turner S, Yasufuku K, Hanna W, Jogiat U, Sun W, Dang J, Mocanu V, Kung J, Karmali S, Turner S, Switzer N, Patel Y, Churchill I, Sullivan K, Beauchamp M, Wald J, Mbuagbaw L, Agzarian J, Shargall Y, Finley C, Fahim C, Hanna W, Abbas M, Olaiya O, Begum H, Mbuagbaw L, Finley C, Hanna W, Agzarian J, Shargall Y, Ednie A, Palma D, Warner A, Malthaner R, Fortin D, Qiabi M, Nayak R, Nguyen T, Louie A, Rodrigues G, Yaremko B, Laba J, Inculet R, Alaichi J, Patel Y, Hanna W, Turner S, Mador B, Lai H, White J, Kim M, Hirpara D, Kidane B, Louie A, Zuk V, Darling G, Rousseau M, Chesney T, Coburn N, Hallet J, Lee Y, Samarasinghe Y, Lee M, Thiru L, Shargall Y, Finley C, Hanna W, Levine O, Juergens R, Agzarian J, Nayak R, Brogly S, Li W, Lougheed D, Petsikas D, Mistry N, Gatti A, Churchill I, Patel Y, Hanna W, Abdul S, Anestee C, Gilbert S, Sundaresan S, Seely A, Villeneuve P, Maziak D, Razzak R, Ashrafi A, Tregobov N, Hassanzadeh N, Stone S, Panjwani A, Bong T, Bond R, Hafizi A, De Meo M, Rayes R, Milette S, Vagai M, Usatii M, Chandrasekaran A, Giannias B, Bourdeau F, Sangwan V, Bertos N, Moraes C, Huang S, Quail D, Walsh L, Camilleri-Broet S, Fiset P, Cools-Lartigue J, Ferri L, Spicer J, Kammili A, Bilgic E, Quaiattini A, Maurice-Ventouris M, Najmeh S, Mueller C, Esther L, Begum H, Agzarian J, Hanna W, Finley C, Shargall Y, Lee Y, Lu J, Malhan R, Shargall Y, Finley C, Hanna W, Agzarian J, Brophy S, Brennan K, French D, Resende V, Momtazi M, Solaja O, Gilbert S, Maziak D, Seely A, Sundaresan S, Villeneuve P, Sisson D, Donahoe L, Bedard P, Hansen A, De Perrot M, Alghamedi A, Simone A, Begum H, Hanna W, Shargall Y, Turner S, Huang J, Lai H, Bedard E, Shargall Y, Murthy S, Lin J, Darling G, Malthaner R, Kidane B, Seely A, Li H, Crowther M, Linkins L, Lau E, Schneider L, Hanna W, Finley C, Agzarian J, Douketis J, Greenberg B, Gupta V, Allen-Avodabo C, Davis L, Zhao H, Kidane B, Darling G, Coburn N, Huynh C, Cools-Lartigue J, Ferri L, Najmeh S, Sirois C, Mulder D, Spicer J, Al Rawahi A, Aftab Abdul S, Nguyen D, Anstee C, Delic E, Gilbert S, Maziak D, Villeneuve P, Seely A, Sisson D, Sasewich H, Islam T, Low D, Darling G, Turner S, Humer M, Abdul S, Nguyen D, Al Rawahi A, Anstee C, Delic E, Gilbert S, Villeneuve P, Maziak D, Seely A, Le Nguyen D, Aftab Abdul S, Al Rawahi A, Anstee C, Delic E, Gilbert S, Villeneuve P, Maziak D, Seely A, Patel Y, Kay M, Churchill I, Sullivan K, Shargall Y, Shayegan B, Adili A, Hanna W, Kaafarani M, Huynh C, Chouiali F, Muthukrishnan N, Maleki F, Ovens K, Gold M, Sorin M, Falutz R, Rayes R, Forghani R, Spicer J, Hunka N, Kennedy R, Bigsby R, Bharadwaj S, Gowing S, Churchill I, Gatti A, Hylton D, Sullivan K, Patel Y, Farrokhyar F, Leontiadis G, Hanna W, Finley C, Begum H, Pearce K, Agzarian J, Hanna W, Shargall Y, Akhtar-Danesh N, Jones D, Anstee C, Kumar S, Gingrich M, Simone A, Ahmadzai Z, Thavorn K, Seely A, Gupta V, Namavarian A, Mohammed A, Uddin S, Jones D, Behzadi A, Brar A, Qu L, Qiabi M, Nayak R, Malthaner R, Peters E, Buduhan G, Tan L, Liu R, Srinathan S, Kidane B, Gupta V, Levy J, Kidane B, Mahar A, Ringash J, Sutradhar R, Darling G, Coburn N, Robinson M, Bednarek L, Buduhan G, Liu R, Tan L, Srinathan S, Kidane B, Wang H, French D, MacDonald D, Graham K, Enns S, Buduhan G, Srinathan S, Liu R, Tan A, Kidane B, Bruinooge A, Poole E, Pascoe C, Karakach T, Buduhan G, Tan L, Srinathan S, Halayko A, Kidane B, Verhoeff K, Mocanu V, Fang B, Dang J, Kung J, Switzer N, Birch D, Karmali S, Johnson G, Singh H, Vergis A, Park J, Hershorn O, Hochman D, Helewa R, Johnson G, Robertson R, Vergis A, Johnson G, Vergis A, Singh H, Park J, Helewa R, Azin A, Cahill C, Lipson M, Afzal A, Maclean A, Wong C, Roen S, Buie W, McKechnie T, Anpalagan T, Chu M, Lee Y, Amin N, Hong D, Eskicioglu C, McKechnie T, Ramji K, Kruse C, Jaffer H, Rebello R, Amin N, Doumouras A, Hong D, Eskicioglu C, Hajjar R, Oliero M, Cuisiniere T, Fragoso G, Calvé A, Djediai S, Annabi B, Richard C, Santos M, Purich K, Zhou Y, Dodd S, Ring B, Yuan Y, White J, Garfinkle R, Dell'Aniello S, Bhatnagar S, Morin N, Ghitulescu G, Faria J, Vasilevsky C, Brassard P, Boutros M, Garfinkle R, Salama E, Amar-Zifkin A, Morin N, Ghitulescu G, Faria J, Vasilevsky C, Boutros M, Talwar G, Daniel R, McKechnie T, Levine O, Eskicioglu C, AlSulaim H, Alqahtani M, Garfinkle R, Al-Masrouri S, Vasilevsky C, Morin N, Boutros M, McKechnie T, Chen A, Patel A, Lee Y, Doumouras A, Hong D, Eskicioglu C, Brissette V, Al Busaidi N, Rajabiyazdi F, Moon J, Demian M, Vasilevsky C, Morin N, Boutros M, Selvam R, Moloo H, MacRae H, Alam F, Raiche I, Holland J, Cwintal M, Rigas G, Vasilevsky C, Morin N, Ghitulescu G, Faria J, Pang A, Boutros M, Holland J, Moon J, Marinescu D, Morin N, Ghitulescu G, Pang A, Vasilevsky C, Boutros M, Brown C, Karimuddin A, Raval M, Phang P, Ghuman A, Li M, Muncner S, Mihajlovic I, Dykstra M, Snelgrove R, Wang H, Monton O, Smith A, Moon J, Demian M, Garfinkle R, Vasilevsky C, Rajabiyazdi F, Boutros M, AlAamer O, AlSelaim N, AlMalki M, Al-Osail A, Ruxton R, Manuel P, Mohamed F, Motamedi MK, Serahati S, Rajendran L, Brown C, Raval M, Karimuddin A, Ghuman A, Phang T, Caminsky N, Moon J, Rajabiyazdi F, Chadi S, Alavi K, Paquette I, MacLean T, Wexner S, Liberman S, Steele S, Park J, Patel S, Bordeianou L, Auer R, Sylla P, Morin N, Ghuman A, Boutros M, Bayat Z, Kennedy E, Victor C, Govindarajan A, Liang J, Vasilevsky C, Pang A, Ghitulescu G, Faria J, Morin N, Boutros M, Marinescu D, Roy H, Baig Z, Karimmudin A, Raval M, Brown C, Phang T, Gill D, Ginther N, Moon J, Marinescu D, Pang A, Ghitulescu G, Faria J, Morin N, Vasilevsky C, Boutros M, Moon J, Pang A, Ghitulescu G, Faria J, Morin N, Vasilevsky C, Boutros M, Salama E, Alrashid F, Vasilevsky C, Ghitulescu G, Faria J, Morin N, Boutros M, Wiseman V, Zhang L, MacDonald P, Merchant SM, Wattie Barnett K, Caycedo-Marulanda A, Patel SV, Harra Z, Vasilevsky C, Ghitulescu G, Morin N, Boutros M, Pang A, Hegagi M, Alqahtani M, Morin N, Ghitulescu G, Vasilevsky C, Boutros M, Alghaithi N, Marinescu D, Al-Masrouri S, Pang A, Vasilevsky C, Boutros M, Papillon E, Kasteel N, Kaur G, Bindra S, Malhotra A, Graham C, MacLean A, Beck P, Jijon H, Ferraz J, Buie W, Szwimer R, Moon J, Demian M, Pang A, Morin N, Vasilevsky C, Rajabiyazdi F, Boutros M, Azin A, Merchant S, Kong W, Gyawali B, Hanna T, Chung W, Nanji S, Patel S, Booth C, Li V, Awan A, Serrano P, Jacobson M, Chanco M, Wen V, Singh N, Peiris L, Pasieka J, Ghatage P, Buie D, MacLean T, Bouchard-Fortier A, Mack L, Marini W, Zheng W, Swallow C, Reedijk M, DiPasquale A, Peiris L, Prus-Czrnecka Z, Delmar L, Gagnon N, Villiard R, Martel É, Cadrin-Chênevert A, Ledoux É, Racicot C, Mysuria S, Bazzarelli A, Pao J, Chen L, Zhang M, McKevitt E, Warburton R, Kuusk U, Van Laeken N, Bovill E, Isaac K, Dingee C, Hunter-Smith A, Cuthbert C, Fergus K, Barbera L, Efegoma Y, Howell D, Isherwood S, Levasseur N, Scheer A, Simmons C, Srikantham A, Temple-Orberle C, Xu Y, Metcalfe K, Quan M, Alqaydi A, la J, Merchant S, Digby G, Pravong V, Brind'Amour A, Sidéris L, Dubé P, De Guerke L, Fortin S, Auclair M, Trilling B, Tremblay J, Di Lena É, Hopkins B, Wong S, Meterissian S, Di Lena É, Barone N, Hopkins B, Dumitra S, Kaneva P, Fiore J, Meterissian S, Mysuria S, McKevitt E, Warburton R, Chen L, Bazzarelli A, Pao J, Bovill E, Zhang M, Kuusk U, Isaac K, Van Laeken N, Dingee C, Kapur H, McKevitt E, Warburton R, Pao J, Dingee C, Bazarelli A, Kuusk U, Chen L, Cadili L, DeGirolamo K, McKevitt E, Pao J, Dingee C, Bazzarelli A, Warburton R, Ng D, Ali A, Eymae D, Lee K, Brar S, Conner J, Magalhaes M, Swallow C, Allen K, Baliski C, Cyr D, Sari A, Messenger D, Driman D, Assarzadegan N, Juda A, Swallow C, Kennedy E, Brar M, Conner J, Kirsch R, Allard-Coutu A, Singh K, Lamontagne A, Gamache Y, Allard-Coutu A, Mardinger C, Lee C, Duckworth R, Brindle M, Fraulin F, Austen L, Kortbeek J, Hyndman M, Nguyen D, Jamjoum G, Meguerditchian A, Langer S, Yuan Xu Y, Kong S, Quan M, Lim D, Retrouvey H, Kerrebijn I, Butler K, O'Neill A, Cil T, Zhong T, Hofer S, McCready D, Metcalfe K, Lim D, Greene B, Look Hong N, Parapini M, Skipworth J, Mah A, Desai S, Chung S, Scudamore C, Segedi M, Vasilyeva E, Li J, Kim P, Verhoeff K, Deprato A, Purich K, Kung J, Bigam D, Dajani K, Lenet T, Gilbert R, Smoot R, Martel G, Tzeng C, Rocha F, Yohanathan L, Cleary S, Bertens K, Reyna-Sepulveda F, Badrudin D, Gala-Lopez B, Hanna N, Brogly S, Wei X, Booth C, Nanji S, Zuckerman J, Coburn N, Mahar A, Callum J, Kaliwal Y, Jayaraman S, Wei A, Martel G, Hallet J, Zuckerman J, 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Assessment tools for evaluating competency in video-assisted thoracoscopic lobectomy: a systematic review20. Understanding the current practice on chest tube management following lung resection among thoracic surgeons across Canada21. Effect of routine jejunostomy tube insertion in esophagectomy: a systematic review and meta-analysis22. Recurrence of primary spontaneous pneumothorax following bullectomy with pleurodesis or pleurectomy: a retrospective analysis23. Surgical outcomes following chest wall resection and reconstruction24. Outcomes following surgical management of primary mediastinal nonseminomatous germ cell tumours25. Does robotic approach offer better nodal staging than thoracoscopic approach in anatomical resection for non–small cell lung cancer? A single-centre propensity matching analysis26. Competency assessment for mediastinal mass resection and thymectomy: design and Delphi process27. 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Long-term symptom control comparison of Dor and Nissen fundoplication following laparoscopic para-esophageal hernia repair: a retrospective analysis36. Willingness to pay: a survey of Canadian patients’ willingness to contribute to the cost of robotic thoracic surgery37. Radiomics in early-stage lung adenocarcinoma: a prediction tool for tumour immune microenvironments38. Effectiveness of intraoperative pyloric botox injection during esophagectomy: how often is endoscopic intervention required?39. An artificial intelligence algorithm for predicting lymph node malignancy during endobronchial ultrasound40. The effect of major and minor complications after lung surgery on length of stay and readmission41. Measuring cost of adverse events following thoracic surgery: a scoping review42. Laparoscopic paraesophageal hernia repair: characterization by hospital and surgeon volume and impact on outcomes43. 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Surgical outcome and quality of life following exercise-based prehabilitation for hepatobiliary surgery: a systematic review and meta-analysis03. Does intraoperative frozen section and revision of margins lead to improved survival in patients undergoing resection of perihilar cholangiocarcinoma? A systematic review and meta-analysis04. Prolonged kidney procurement time is associated with worse graft survival after transplantation05. Venous thromboembolism following hepatectomy for colorectal metastases: a population-based retrospective cohort study06. Association between resection approach and transfusion exposure in liver resection for gastrointestinal cancer07. The association between surgeon volume and use of laparoscopic liver resection for gastrointestinal cancer08. 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Predictors of postoperative liver decompensation events following resection in patients with cirrhosis and hepatocellular carcinoma: a population-based study23. Characteristics of bacteriobilia and impact on outcomes after Whipple procedure01. Inverting the y-axis: the future of MIS abdominal wall reconstruction is upside down02. Progressive preoperative pneumoperitoneum: a single-centre retrospective study03. The role of radiologic classification of parastomal hernia as a predictor of the need for surgical hernia repair: a retrospective cohort study04. Comparison of 2 fascial defect closure methods for laparoscopic incisional hernia repair01. Hypoalbuminemia predicts serious complications following elective bariatric surgery02. Laparoscopic adjustable gastric band migration inducing jejunal obstruction associated with acute pancreatitis: aurgical approach of band removal03. Can visceral adipose tissue gene expression determine metabolic outcomes after bariatric surgery?04. Improvement of kidney function in patients with chronic kidney disease and severe obesity after bariatric surgery: a systematic review and meta-analysis05. A prediction model for delayed discharge following gastric bypass surgery06. Experiences and outcomes of Indigenous patients undergoing bariatric surgery: a mixed-methods scoping review07. What is the optimal common channel length in revisional bariatric surgery?08. Laparoscopic management of internal hernia in a 34-week pregnant woman09. Characterizing timing of postoperative complications following elective Roux-en-Y gastric bypass and sleeve gastrectomy10. Canadian trends in bariatric surgery11. Common surgical stapler problems and how to correct them12. Management of choledocholithiasis following Roux-en-Y gastric bypass: a systematic review and meta-analysis. Can J Surg 2021; 64:S80-S159. [PMID: 35483046 PMCID: PMC8677574 DOI: 10.1503/cjs.021321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Saberwal B, Patel K, Scully PR, Klotz E, Seraphim A, Augusto J, Vandermolen S, Knott K, Thornton GD, Haberland U, Sutcliffe J, Khanji MY, Moon JC, Treibel TA, Pugliese F. Computed tomography vs cardiovascular magnetic resonance imaging derived extracellular volume fraction in patients with stable new-onset chest pain. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.0153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Computed tomography (CT) is increasingly recognised as a diagnostic modality across a range of cardiovascular conditions and is now first-line for the investigation of stable new-onset chest pain. Determination of the myocardial extracellular volume fraction (ECV) has been shown to correlate well with the identification and prognostication of disease. Cardiovascular magnetic resonance (CMR) imaging remains the gold standard for the measurement of myocardial ECVCMR using T1-mapping, but there is increasing evidence for the use of ECV by cardiac CT (ECVCT).
Purpose
To assess the performance of ECVCT against the reference standard of ECVCMR.
Methods
Patients with a history of chest pain and no previously documented coronary disease referred for invasive angiography were recruited as part of the EVINCI Heart-QIT study. A cohort of these patients (n=33) underwent CMR at 1.5T (Siemens Aera, Siemens Healthcare, Erlangen/Germany) with T1 mapping of a mid-ventricular short axis slice (by MOdified Look-Locker Inversion recovery [MOLLI]) before and 15 minutes after a bolus of gadolinium contrast (0.1 mmol/kg gadoterate meglumine), followed by whole-heart ECVCT quantification (Somatom Force, Siemens Healthcare, Erlangen/Germany) using a 5-min post-iodine-contrast acquisition protocol. To account for data clustering on a patient level and volumetric discrepancy on a modality level, comparisons were made using mid-ventricular pooled ECVCT and ECVCMR. Bland-Altman analysis was used to determine the limits of agreement and identify systematic differences between both measures.
Results
A total of 33 patients (70% male, mean age 56.8±12.6yr) underwent the combined CMR and CT. ECVCMR and ECVCT were then analysed retrospectively (Figure 1). The average pooled ECV for the 6 mid-ventricular segments for CMR and CT were (27.6±2.4 and 26.8±2.2 respectively). Bland-Altman analysis demonstrated a marginally higher CMR-ECV (0.8±2.1) vs CT-ECV, which is in keeping with the longer delay-time encountered in CMR protocols (Figure 2).
Conclusions
ECVCT obtained from 5-minute post-contrast CT protocols show good agreement with ECVCMR in a stable chest pain patient cohort.
Funding Acknowledgement
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Siemens Helthineers Educational Grant Figure 1. CMR (L) and CT (R) ECV mapsFigure 2. Bland-Altman plot
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Husselbury T, Godec T, Murphy T, Hughes RR, Omahony C, Moon J, Dhinoja MB, Petersen SE, Mohiddin SA, Malcolmson JW. Multi-modality imaging in hypertrophic cardiomyopathy: intermodal discrepancies in key prognostic parameters. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background/Introduction
Multi-modality imaging is crucial for confirming diagnosis and assessing prognosis in patients with hypertrophic cardiomyopathy (HCM). However, inter-modality discrepancies in key parameters are commonly reported.
Purpose
To assess real-world inter-modal reporting discrepancies between transthoracic echocardiography (TTE) and cardiac magnetic resonance (CMR) imaging in the measurement of four key parameters in HCM patients.
Methods
Consecutive HCM patients with TTE and CMR performed within 6 months of each other at a tertiary centre were retrospectively assessed for reported maximum wall thickness (MWT), left atrial diameter (LAd), left ventricular ejection fraction (LVEF) and presence of left ventricular apical aneurysm (LVAA). The CMR report was considered gold standard. Data are reported as mean ± standard deviation (SD) or median and interquartile range (IQR) as appropriate.
Results
353 consecutive HCM patients (72% male, median age 60.9 years, IQR 49.8–71.6 years) with TTE and CMR within 6 months (median difference 1.7 months, IQR 1.1–3.4 months) were assessed between 4th January 2018 and 9th April 2019. Of 284 patients with paired MWT data, median difference was 0.0 mm (IQR −1.0 to 3.0 mm, p=0.02), likely representing a difference in distributions of MWT. TTE both over and underestimated MWT (in 36% and 46% cases respectively).
Of the 94 patients with paired LAd data, mean difference was 0.4±5.7 mm (95% CI −0.8010 to 1.546, p=0.5).
N=320 patients with paired LVEF data (after excluding patients with atrial fibrillation (n=20)). Median difference in LVEF was 12% (IQR 5–19% p<0.0001). TTE underestimated LVEF in 88% of cases. CMR and TTE both identified 14 (5%) patients as having LVEF <50%. There were however 8 cases of disagreement in classification of LVEF <50%, due to over (n=4) or underestimation (n=4) by TTE.
LVAA was accurately identified by TTE in only 9/30 (30%) of those patients with demonstrable LVAA by CMR (p=0.0008). TTE evidence of a discreet apical chamber (paradoxical jet on spectral or colour Doppler) was present in 16/21 (76%) cases where TTE failed to overtly identify LVAA. However, apical or mid-cavity obliteration was reported in 15/21 (71%) cases where TTE failed to identify LVAA.
Conclusion(s)
Echocardiography and CMR measurements are often used interchangeably in clinical practice but inter-modality discrepancies can affect diagnosis and sudden cardiac death (SCD) risk assessment. This is particularly important for binary risk factors such as LVEF<50% or LVAA which are considered major SCD risk factors in the latest American Heart Association guidelines. 25 (7%) patients in our cohort had major risk factors identified by CMR that were not identified on TTE. CMR is an important, recommended tool where TTE imaging is suboptimal, but attention to more subtle elements of abnormal intracavity blood flow may be able to increase LVAA detection during TTE.
Funding Acknowledgement
Type of funding sources: None.
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Topriceanu C, Moon JC, Hardy R, Hughes AD, Captur G. Childhood bradycardia associates with atrioventricular conduction defects in older age: a longitudinal birth cohort study. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
A high resting heart rate (RHR) has been associated with cardiovascular morbidity and mortality. However, little is known about the long-term effects of childhood bradycardia.
Purpose
This study aimed to explore the association between childhood bradycardia and later-life cardiac phenotype using longitudinal data from the 1946 Medical Research Council National Survey of Health and Development (NSHD) birth cohort.
Methods
RHR was recorded at ages 6 and 7 to provide the bradycardia exposure defined as a childhood RHR<75. Three outcomes were studied: i) echocardiographic data at 60–64 consisting of ejection fraction (EF), left ventricular mass index (LVmassi), myocardial contraction fraction index (MCFi) and E/e'; ii) electrocardiographic (ECG) evidence of atrio-ventricular (AV) conduction defects (Minnesota categories: 6-1, 6-2-1, 6-2-2, 6-2-3, 6-3, 6-8, 8-5-1, 8-5-2, 8-6-1, 8-6-2, 8-6-3 and 8-6-4) or ventricular conduction defects (any Minnesota group 7) by age 60–64; and iii) all-cause and cardiovascular mortality. Generalized linear models (glm) with gamma distribution were used for echocardiographic analyses, glms with binomial distribution for ECG analyses and Cox proportional hazards models for mortality. Adjustment was made for relevant demographic and health-related covariates, and for multiple testing. In order to account for within-subject correlated repeated measures at 6 and 7 years of age, mixed glms (glmms) were used as a sensitivity analysis. To explore any nonlinear relationships, we modeled each outcome as a sum of best fitting fractional polynomials of RHR at 6 and 7 (as continuous variables) and covariates using a “closed test procedure” with backward elimination.
Results
The number of participants included was: 4381 for mortality, 1631 for ECG and 1617 for echocardiography analyses. Childhood bradycardia was associated with male sex (p<0.0001) and higher BMI (p=0.009). In fully adjusted models, childhood bradycardia was associated with 2.91 higher odds of AV conduction defects (95% confidence interval [CI] 1.59–5.31, p=0.0005), even at a false discovery rate of 0.05. Associations persisted in random coefficients glmm models (odds ratio 2.50, 95% CI 1.01–4.31). The fractional polynomials analyses revealed that the log odds of AV conduction defects at 60–64 years of age were linearly associated with RHR at 7 years. There was no association between bradycardia in childhood and ventricular conduction defects, echocardiographic parameters or mortality outcomes.
Conclusions
Longitudinal data indicate that childhood bradycardia trebles the odds of having AV conduction defects, but does not influence mortality or heart size and function in older age. As one in three older adults with AV conduction defects will have been bradycardic in childhood, future research should concentrate on identifying children at risk, the potential mechanisms involved and whether AV blocking drugs accelerate nodal dysfunction.
Funding Acknowledgement
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): British Heart Foundation (MyoFit46 Special Programme Grant SP/20/2/34841)
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Dowsing B, Cash L, Webb E, Moon JC, Manisty CH, Bhuva AN. MRI provision for patients with cardiac implantable electronic devices: understanding the real-world administrative requirements of service delivery. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.3042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Introduction
Patients with cardiac implantable electronic devices (CIEDs) should have access to Magnetic Resonance Imaging (MRI) but are less likely to be referred and hospitals lack provision. A major barrier to service delivery is the administrative demand required to obtain accurate CIED details prior to scheduling. We aimed to understand the administrative requirements of a high-volume Cardiac Device-MRI service to inform the design of an electronic referrals platform that can facilitate workflow.
Methods
Single centre retrospective audit of a high-volume Cardiac Device-MRI service in a tertiary unit in the UK. Six months of referrals were reviewed for patient and CIED details and barriers met. Referrals were stratified by source, indication, MR-Conditional labelling and referrer.
Results
Administrative barriers were reviewed for 116 patients with CIEDs referred for MRI (48% cardiac, 52% non-cardiac) between September 2020 and March 2021 (Table 1). Referrers were 47% cardiologists and 53% other specialties. Referral to scan time was 15 days (interquartile range, 8–32). There were no scan-related complications.
34% of referrals contained complete CIED details and 30% stated the MR labelling of the CIED. None incorrectly labelled a CIED as MR-Conditional, but 8% incorrectly labelled as non-MR Conditional. 7 additional days were required to obtain complete CIED details where not provided (involving information requests from two device clinics in 27%), 10% had delays over 2 weeks (maximum 145 days). 35% required 3 or more repeat discussions with referrers after initial referral. Obtaining CIED information for external referrals required 17 days (11–42), compared to 14 (6–35) days for internal referrals (p=0.25).
Patients with non-MR Conditional CIEDs required on average 14 days longer to obtain complete referral details than patients with MR-Conditional CIEDs. Even when referrers were aware of non-MR Conditional labelling and received information on risk, 41% required further discussion between patient and referrer regarding risks and benefits of MRI scanning. For cancer referrals, obtaining correct details took 1 day longer than other referrals (p=0.074) and required 2 extra emails to maintain provision within the national time-to-treatment target of 62 days. Missing data was similarly present in referrals from Cardiologists and non-Cardiologists (59% versus 61% respectively), but non-Cardiologists recorded more incorrect CIED details (8% vs 0%).
Conclusions
Referral for MRI in patients with CIEDs demands significant administrative input to obtain correct device information, leading to delays. These delays are greater for patients with non-MR conditional CIEDs, and data provided is often incorrect or incomplete. This may explain why some patients are not referred for MRI. An online referrals platform has been developed to streamline this process, initially deployed through a network of 60 centres registered in the UK.
Funding Acknowledgement
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): This work is supported by British Heart Foundation Innovations funding (HFHF_016).
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Abratenko P, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Cianci D, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Devitt D, Diurba R, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans JJ, Fine R, Fiorentini Aguirre GA, Fitzpatrick RS, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hall E, Hen O, Horton-Smith GA, Hourlier A, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Manivannan K, Mariani C, Marsden D, Marshall J, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely RK, Nowak J, Nunes M, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rice LCJ, Rochester L, Rodriguez Rondon J, Rogers HE, Rosenberg M, Ross-Lonergan M, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Siegel H, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc AM, Tagg N, Tang W, Terao K, Thorpe C, Totani D, Toups M, Tsai YT, Uchida MA, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yarbrough G, Yates LE, Zeller GP, Zennamo J, Zhang C. Search for a Higgs Portal Scalar Decaying to Electron-Positron Pairs in the MicroBooNE Detector. PHYSICAL REVIEW LETTERS 2021; 127:151803. [PMID: 34678031 DOI: 10.1103/physrevlett.127.151803] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 08/11/2021] [Accepted: 09/10/2021] [Indexed: 06/13/2023]
Abstract
We present a search for the decays of a neutral scalar boson produced by kaons decaying at rest, in the context of the Higgs portal model, using the MicroBooNE detector. We analyze data triggered in time with the Fermilab NuMI neutrino beam spill, with an exposure of 1.93×10^{20} protons on target. We look for monoenergetic scalars that come from the direction of the NuMI hadron absorber, at a distance of 100 m from the detector, and decay to electron-positron pairs. We observe one candidate event, with a standard model background prediction of 1.9±0.8. We set an upper limit on the scalar-Higgs mixing angle of θ<(3.3-4.6)×10^{-4} at the 95% confidence level for scalar boson masses in the range (100-200) MeV/c^{2}. We exclude, at the 95% confidence level, the remaining model parameters required to explain the central value of a possible excess of K_{L}^{0}→π^{0}νν[over ¯] decays reported by the KOTO collaboration. We also provide a model-independent limit on a new boson X produced in K→πX decays and decaying to e^{+}e^{-}.
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Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Dennis S, Devitt D, Diurba R, Domine L, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans J, Fiorentini Aguirre G, Fitzpatrick R, Fleming B, Foppiani N, Franco D, Furmanski A, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hall E, Hamilton P, Hen O, Hill C, Horton-Smith G, Hourlier A, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo J, Johnson R, Jwa YJ, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Littlejohn B, Lorca D, Louis W, Luo X, Marchionni A, Mariani C, Marsden D, Marshall J, Martin-Albo J, Martinez Caicedo D, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor A, Moore C, Mora Lepin L, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely R, Nienaber P, Nowak J, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto I, Porzio D, Prince S, Qian X, Raaf J, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rogers H, Rosenberg M, Ross-Lonergan M, Russell B, Scanavini G, Schmitz D, Schukraft A, Seligman W, Shaevitz M, Sharankova R, Sinclair J, Smith A, Snider E, Soderberg M, Söldner-Rembold S, Soleti S, Spentzouris P, Spitz J, Stancari M, John J, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thorpe C, Toups M, Tsai YT, Uchida M, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wu W, Yandel E, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. Measurement of the flux-averaged inclusive charged-current electron neutrino and antineutrino cross section on argon using the NuMI beam and the MicroBooNE detector. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.104.052002] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Noor A, Yassine I, Lee S, Othus M, Moon J, Kirkwood J, Sondak V, Ribas A, Grossmann K, Tarhini A. 1069P Granulomatous and sarcoid-like immune adverse events following CTLA4 and PD1 blockade adjuvant therapy of high-risk melanoma: A combined analysis of ECOG-ACRIN E1609 and SWOG S1404 phase III trials. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Yang JH, Cho SI, Kim DH, Yoon JY, Moon J, Kim JW, Choi S, Suh DH. Pilot study of fractional microneedling radiofrequency for hidradenitis suppurativa assessed by clinical response and histology. Clin Exp Dermatol 2021; 47:335-342. [PMID: 34431555 DOI: 10.1111/ced.14905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Hidradenitis suppurativa (HS) is a devastating chronic inflammatory skin disease with frequent recurrences. Various systemic treatments and procedures have been used but the efficacy of fractional microneedling radiofrequency (FMR) has not been reported. AIM To evaluate the clinical and histological efficacy of FMR in the treatment of HS lesions. METHODS An 8-week, prospective, split-body, unblinded study was conducted, which enrolled 10 adult patients with mild to moderate HS to receive 3 sessions of FMR treatment biweekly. HS severity was assessed using the number and type of lesions, HS Physician Global Assessment (HS-PGA) and the modified Sartorius score (mSS). Skin biopsies were performed on participants to assess change in inflammation before and after FMR. RESULTS Severity of HS was significantly reduced on the FMR-treated side of the body, but not on the control side. Inflammatory HS lesions were significantly reduced after 4 weeks, while HS-PGA and mSS were significantly decreased after 6 weeks. Immunohistochemistry staining showed decreased expression of inflammatory markers including neutrophil elastases, interleukin (IL)-8 and IL-17, tumour necrosis factor-α, transforming growth factor-β1 and matrix metalloproteinases. CONCLUSION FMR may be a viable treatment option for mild to moderate HS.
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Seraphim A, Knott K, Menacho K, Augusto J, Davies R, Joy G, Hui X, Treibel T, Cooper J, Petersen S, Fontana M, Hughes A, Moon J, Manisty C, Kellman P. Comparison of the prognostic value of stress and rest pulmonary transit time estimation using myocardial perfusion CMR. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeab090.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Foundation. Main funding source(s): British Heart Foundation Clinical Research Training Fellowship
Background
Pulmonary transit time (PTT) is a quantitative biomarker of cardiopulmonary status. Rest PTT was previously shown to predict outcomes in specific disease models, but clinical adoption is hindered but challenges in data acquisition. Whether evaluation of PTT during stress encodes incremental prognostic information has not been previously investigated as scale.
Objectives
To compare the prognostic value of stress and rest PTT derived from a fully automated, in-line method of estimation using perfusion CMR, in a large patient cohort.
Methods
A retrospective two-center study of patients referred clinically for adenosine stress myocardial perfusion assessment using CMR. Analysis of right and left ventricular cavity arterial input function curves from first pass perfusion was performed automatically, allowing the in-line estimation of both rest and stress PTT. Association with major adverse cardiovascular events (MACE) was evaluated. MACE was defined as a composite outcome of myocardial infarction, stroke, heart failure admission and ventricular tachycardia or appropriate ICD treatment (including ICD shock and/or anti-tachycardia pacing).
Results
985 patients (67% male, median age 62 years (IQR 52,71)) were included, with median left ventricular ejection fraction (LVEF) of 62% (IQR 54-69). Median stress PTT was shorter than rest PTT 6.2 (IQR 5.1, 7.7) seconds versus 7.7 (IQR, 6.4, 9.2) seconds. Stress and rest PTT were highly correlated (r = 0.69; p < 0.001). Stress PTT also correlated with LVEF (r=-0.37), stress MBF (r=-0.31), LVEDVi (r = 0.24), LA area index (r = 0.32) (p < 0.001 for all). Over a median follow-up period of 28.6 (IQR, 22.6 35,7) months, MACE occurred in 61 (6.2%) patients. After adjusting for prognostic factors, both rest and stress PTT, independently predicted MACE, but not all-cause mortality. For every 1xSD (2.39s) increase in rest PTT the adjusted hazard ratio (HR) for MACE was 1.43 (95% CI 1.10-1.85, p = 0.007). The hazard ratio for one standard deviation (2.64s) increase in stress PTT was 1.34 (95% CI 1.048-1.723; p = 0.020) after adjusting for age, LVEF, hypertension, diabetes, sex and presence of LGE
Conclusions
In this 2-center study of 985 patients, we deploy a fully automated method of PTT estimation using perfusion mapping with CMR and show that both stress and rest PTT are independently associated with adverse cardiovascular outcomes. In this patient cohort, there is no clear incremental prognostic value of stress PTT, over its evaluation during rest.
Figure 1. Stress and Rest Pulmonary Transit Time estimation using myocardial perfusion CMR
Figure 2. Event-free survival curves for major adverse cardiovascular events (Heart failure hospitalization, myocardial infarction, stroke and ventricular tachycardia/ICD treatment) according to mean rest PTT (8.05seconds) and mean stress PTT (6.7seconds). Log-rank for both p < 0.05
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Thornton G, Shetye A, Knott K, Razvi Y, Vimalesvaran K, Kurdi H, Artico J, Yousef S, Antonakaki D, Kellman P, Knight D, Cole GD, Moon JC, Fontana M, Treibel TA. Myocardial perfusion after COVID-19 infection: No persisting impaired myocardial blood flow in surviving patients. Eur Heart J Cardiovasc Imaging 2021. [PMCID: PMC8344937 DOI: 10.1093/ehjci/jeab090.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Funding Acknowledgements Type of funding sources: None. Background Acute myocardial damage is common in hospitalized patients with severe COVID-19, with evidence of myocardial infarction and myocarditis demonstrated on cardiovascular magnetic resonance (CMR). Post-mortem studies have also implicated microvascular thrombosis, which may cause persistent microvascular disease. Purpose To determine the long-term coronary sequelae in recovered COVID-19 using multiparametric CMR including state-of-the-art inline quantitative stress myocardial blood flow (sMBF) mapping to assess global and regional sMBF. Methods Prospective, multicentre observational study of recovered COVID-19 patients scanned at three London CMR units. Results were compared to a propensity-matched, pre-COVID chest pain cohort (104 patients referred for perfusion CMR, with subsequently demonstrated unobstructed coronary arteries) and 27 healthy volunteers (HV). Perfusion image analysis was performed using a novel artificial intelligence approach deriving global and regional stress and rest MBF with a cut-off of >2.25mL/g/min signifying normal sMBF and <1.82mL/g/min abnormal sMBF (Kotecha JCVI 2019). Results 104 recovered, post-COVID patients (median age 62 years, 76% male; 89[87%] hospitalised, 41/89[46%] requiring ICU) underwent adenosine-stress perfusion CMR at a median 131(IQR 43-179) days from COVID-19 diagnosis. Median LVEF was 67% (IQR 60-71%; 12 (11.5%) with impaired LVEF), 51 patients (49%) had late gadolinium enhancement (LGE); 18% infarct-pattern and 33% non-ischaemic LGE. Global stress MBF in post-COVID patients was no different to age-, sex- and co-morbidities-matched controls (2.57 ± 0.77 vs. 2.40 ± 0.75 ml/g/min, p = 0.11, Figure 1), though lower than HV (3.00 ± 0.76 ml/g/min, p = 0.001). Post-COVID, multivariate predictors of low sMBF were male sex (OR 0.57, 95%CI 0.41-0.80, p = 0.001) and hypertension (OR 0.67, 95%CI 0.51-0.88, p = 0.004), but not COVID-19 disease severity (ICU admission) or presence of scar (ischemic/non-ischemic). 21/42 with reduced sMBF (<2.25mL/g/min) had regional perfusion defects consistent with epicardial coronary disease. Conclusions COVID-19 survivors do not demonstrate evidence of reduced global MBF by CMR compared to risk factor matched controls. Stress perfusion CMR identifies etiology of acute myocardial damage (infarction/myocarditis) and presence of occult coronary ischemia.
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Joy G, Artico J, Kurdi H, Lau C, Adam RD, Menacho KM, Pierce I, Captur G, Davies R, Schelbert EB, Fontana M, Kellman P, Treibel TA, Manisty C, Moon JC. Prospective case-control study of cardiovascular abnormalities six months following mild COVID-19 in healthcare workers. Eur Heart J Cardiovasc Imaging 2021. [PMCID: PMC8344927 DOI: 10.1093/ehjci/jeab090.064] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public Institution(s). Main funding source(s): Barts Charity UCLH Charity
OnBehalf
COVIDsortium
Background
Recent CMR studies have reported cardiac abnormalities after COVID-19 are common, even after mild, non-hospitalised illness with evidence of ongoing myocardial inflammation. Such a prevalence of chronic myocarditis after mild disease has prompted societal concerns in diverse domains, and suggests that screening should be considered post COVID-19, even in asymptomatic individuals. Cardiovascular magnetic resonance (CMR) has proven utility for diagnosis in patients with COVID-19 infection and elevated troponin from unclear causes by measuring cardiac structure, function, myocardial scar (late gadolinium enhancement) and oedema (T1 and T2 mapping).
Objectives
We aimed to determine the prevalence and extent of late cardiac and cardiovascular sequelae after mild non-hospitalised SARS-CoV-2 infection.
Methods
Participants were recruited from COVIDsortium, a three-hospital prospective study of 731 healthcare workers who underwent first wave weekly symptom, PCR and serology assessment over 4 months, with seroconversion in 21.5% (n = 157). At 6 months post infection, 74 seropositive and 75 age-, sex-, ethnicity-matched seronegative controls were recruited for cardiovascular phenotyping (comprehensive phantom-calibrated Cardiovascular Magnetic Resonance and blood biomarkers). Analysis was blinded, using objective AI analytics where available.
Results
149 subjects (mean age 37 years, range 18-63, 58% female) were recruited. Seropositive infections had been mild with case definition/non-case definition/asymptomatic disease in 45(61%), 18(24%) and 11(15%) with one person hospitalised (for 2 days). Between seropositive and seronegative groups, there were no differences in cardiac structure (left ventricular volumes, mass; atrial area), function (ejection fraction, global longitudinal shortening, aortic distensibility), tissue characterisation (T1, T2, ECV mapping, late gadolinium enhancement) or biomarkers (troponin, NT-proBNP). With abnormal defined by the 75 seronegatives (2 standard deviations from mean, e.g. EF < 54%, septal T1 > 1072ms, septal T2 > 52.4ms), individuals had abnormalities including reduced EF (n = 2, minimum 50%), T1 elevation (n = 6), T2 elevation (n = 9), LGE (n = 13, median 1%, max 5% of myocardium), biomarker elevation (borderline troponin elevation in 4; all NT-proBNP normal). These were distributed equally between seropositive and seronegative individuals.
Conclusions
Cardiovascular abnormalities are no more common in seropositive vs seronegative otherwise healthy, workforce representative individuals 6 months post mild SARS-CoV-2 infection. Our study provides societal reassurance for the cardiovascular health of working-aged individuals with convalescence from mild SARS-CoV-2. Screening asymptomatic individuals following mild diseases is not indicated.
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Torlasco C, Papetti D, Mene R, Artico J, Seraphim A, Badano LP, Moon JC, Parati G, Xue H, Kellman P, Nobile M. Dark blood ischemic LGE segmentation using a deep learning approach. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeab090.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Introduction
The extent of ischemic scar detected by Cardiac Magnetic Resonance (CMR) with late gadolinium enhancement (LGE) is linked with long-term prognosis, but scar quantification is time-consuming. Deep Learning (DL) approaches appear promising in CMR segmentation. Purpose: To train and apply a deep learning approach to dark blood (DB) CMR-LGE for ischemic scar segmentation, comparing results to 4-Standard Deviation (4-SD) semi-automated method. Methods: We trained and validated a dual neural network infrastructure on a dataset of DB-LGE short-axis stacks, acquired at 1.5T from 33 patients with ischemic scar. The DL architectures were an evolution of the U-Net Convolutional Neural Network (CNN), using data augmentation to increase generalization. The CNNs worked together to identify and segment 1) the myocardium and 2) areas of LGE. The first CNN simultaneously cropped the region of interest (RoI) according to the bounding box of the heart and calculated the area of myocardium. The cropped RoI was then processed by the second CNN, which identified the overall LGE area. The extent of scar was calculated as the ratio of the two areas. For comparison, endo- and epi-cardial borders were manually contoured and scars segmented by a 4-SD technique with a validated software. Results: The two U-Net networks were implemented with two free and open-source software library for machine learning. We performed 5-fold cross-validation over a dataset of 108 and 385 labelled CMR images of the myocardium and scar, respectively. We obtained high performance (> ∼0.85) as measured by the Intersection over Union metric (IoU) on the training sets, in the case of scar segmentation. With regards to heart recognition, the performance was lower (> ∼0.7), although improved (∼ 0.75) by detecting the cardiac area instead of heart boundaries. On the validation set, performances oscillated between 0.8 and 0.85 for scar tissue recognition, and dropped to ∼0.7 for myocardium segmentation. We believe that underrepresented samples and noise might be affecting the overall performances, so that additional data might be beneficial. Figure1: examples of heart segmentation (upper left panel: training; upper right panel: validation) and of scar segmentation (lower left panel: training; lower right panel: validation). Conclusion: Our CNNs show promising results in automatically segmenting LV and quantify ischemic scars on DB-LGE-CMR images. The performances of our method can further improve by expanding the data set used for the training. If implemented in a clinical routine, this process can speed up the CMR analysis process and aid in the clinical decision-making. Abstract Figure.
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Bhuva AN, D'Silva A, Torlasco C, Nadarajan N, Jones S, Boubertakh R, Van Zalen J, Scully P, Knott K, Benedetti G, Augusto JB, Bastiaenen R, Lloyd G, Sharma S, Moon JC, Parker KH, Manisty CH, Hughes AD. Non-invasive assessment of ventriculo-arterial coupling using aortic wave intensity analysis combining central blood pressure and phase-contrast cardiovascular magnetic resonance. Eur Heart J Cardiovasc Imaging 2021; 21:805-813. [PMID: 31501858 DOI: 10.1093/ehjci/jez227] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 07/01/2019] [Accepted: 08/20/2019] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Wave intensity analysis (WIA) in the aorta offers important clinical and mechanistic insight into ventriculo-arterial coupling, but is difficult to measure non-invasively. We performed WIA by combining standard cardiovascular magnetic resonance (CMR) flow-velocity and non-invasive central blood pressure (cBP) waveforms. METHODS AND RESULTS Two hundred and six healthy volunteers (age range 21-73 years, 47% male) underwent sequential phase contrast CMR (Siemens Aera 1.5 T, 1.97 × 1.77 mm2, 9.2 ms temporal resolution) and supra-systolic oscillometric cBP measurement (200 Hz). Velocity (U) and central pressure (P) waveforms were aligned using the waveform foot, and local wave speed was calculated both from the PU-loop (c) and the sum of squares method (cSS). These were compared with CMR transit time derived aortic arch pulse wave velocity (PWVtt). Associations were examined using multivariable regression. The peak intensity of the initial compression wave, backward compression wave, and forward decompression wave were 69.5 ± 28, -6.6 ± 4.2, and 6.2 ± 2.5 × 104 W/m2/cycle2, respectively; reflection index was 0.10 ± 0.06. PWVtt correlated with c or cSS (r = 0.60 and 0.68, respectively, P < 0.01 for both). Increasing age decade and female sex were independently associated with decreased forward compression wave (-8.6 and -20.7 W/m2/cycle2, respectively, P < 0.01) and greater wave reflection index (0.02 and 0.03, respectively, P < 0.001). CONCLUSION This novel non-invasive technique permits straightforward measurement of wave intensity at scale. Local wave speed showed good agreement with PWVtt, and correlation was stronger using the cSS than the PU-loop. Ageing and female sex were associated with poorer ventriculo-arterial coupling in healthy individuals.
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Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Devitt D, Diurba R, Domine L, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans J, Fiorentini Aguirre G, Fitzpatrick R, Fleming B, Foppiani N, Franco D, Furmanski A, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hall E, Hamilton P, Hen O, Horton-Smith G, Hourlier A, Huang EC, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo J, Johnson R, Jwa YJ, Kamp N, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Littlejohn B, Lorca D, Louis W, Luo X, Marchionni A, Marcocci S, Mariani C, Marsden D, Marshall J, Martin-Albo J, Martinez Caicedo D, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor A, Moore C, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely R, Nienaber P, Nowak J, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto I, Porzio D, Prince S, Qian X, Raaf J, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rogers H, Rosenberg M, Ross-Lonergan M, Russell B, Scanavini G, Schmitz D, Schukraft A, Shaevitz M, Sharankova R, Sinclair J, Smith A, Snider E, Soderberg M, Söldner-Rembold S, Soleti S, Spentzouris P, Spitz J, Stancari M, John J, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thorpe C, Toups M, Tsai YT, Tufanli S, Uchida M, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wu W, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. Convolutional neural network for multiple particle identification in the MicroBooNE liquid argon time projection chamber. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.103.092003] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Abi B, Acciarri R, Acero MA, Adamov G, Adams D, Adinolfi M, Ahmad Z, Ahmed J, Alion T, Monsalve SA, Alt C, Anderson J, Andreopoulos C, Andrews MP, Andrianala F, Andringa S, Ankowski A, Antonova M, Antusch S, Aranda-Fernandez A, Ariga A, Arnold LO, Arroyave MA, Asaadi J, Aurisano A, Aushev V, Autiero D, Azfar F, Back H, Back JJ, Backhouse C, Baesso P, Bagby L, Bajou R, Balasubramanian S, Baldi P, Bambah B, Barao F, Barenboim G, Barker GJ, Barkhouse W, Barnes C, Barr G, Monarca JB, Barros N, Barrow JL, Bashyal A, Basque V, Bay F, Alba JLB, Beacom JF, Bechetoille E, Behera B, Bellantoni L, Bellettini G, Bellini V, Beltramello O, Belver D, Benekos N, Neves FB, Berger J, Berkman S, Bernardini P, Berner RM, Berns H, Bertolucci S, Betancourt M, Bezawada Y, Bhattacharjee M, Bhuyan B, Biagi S, Bian J, Biassoni M, Biery K, Bilki B, Bishai M, Bitadze A, Blake A, Siffert BB, Blaszczyk FDM, Blazey GC, Blucher E, Boissevain J, Bolognesi S, Bolton T, Bonesini M, Bongrand M, Bonini F, Booth A, Booth C, Bordoni S, Borkum A, Boschi T, Bostan N, Bour P, Boyd SB, Boyden D, Bracinik J, Braga D, Brailsford D, Brandt A, Bremer J, Brew C, Brianne E, Brice SJ, Brizzolari C, Bromberg C, Brooijmans G, Brooke J, Bross A, Brunetti G, Buchanan N, Budd H, Caiulo D, Calafiura P, Calcutt J, Calin M, Calvez S, Calvo E, Camilleri L, Caminata A, Campanelli M, Caratelli D, Carini G, Carlus B, Carniti P, Terrazas IC, Carranza H, Castillo A, Castromonte C, Cattadori C, Cavalier F, Cavanna F, Centro S, Cerati G, Cervelli A, Villanueva AC, Chalifour M, Chang C, Chardonnet E, Chatterjee A, Chattopadhyay S, Chaves J, Chen H, Chen M, Chen Y, Cherdack D, Chi C, Childress S, Chiriacescu A, Cho K, Choubey S, Christensen A, Christian D, Christodoulou G, Church E, Clarke P, Coan TE, Cocco AG, Coelho JAB, Conley E, Conrad JM, Convery M, Corwin L, Cotte P, Cremaldi L, Cremonesi L, Crespo-Anadón JI, Cristaldo E, Cross R, Cuesta C, Cui Y, Cussans D, Dabrowski M, da Motta H, Peres LDS, David C, David Q, Davies GS, Davini S, Dawson J, De K, De Almeida RM, Debbins P, De Bonis I, Decowski MP, de Gouvêa A, De Holanda PC, De Icaza Astiz IL, Deisting A, De Jong P, Delbart A, Delepine D, Delgado M, Dell’Acqua A, De Lurgio P, de Mello Neto JRT, DeMuth DM, Dennis S, Densham C, Deptuch G, De Roeck A, De Romeri V, De Vries JJ, Dharmapalan R, Dias M, Diaz F, Díaz JS, Di Domizio S, Di Giulio L, Ding P, Di Noto L, Distefano C, Diurba R, Diwan M, Djurcic Z, Dokania N, Dolinski MJ, Domine L, Douglas D, Drielsma F, Duchesneau D, Duffy K, Dunne P, Durkin T, Duyang H, Dvornikov O, Dwyer DA, Dyshkant AS, Eads M, Edmunds D, Eisch J, Emery S, Ereditato A, Escobar CO, Sanchez LE, Evans JJ, Ewart E, Ezeribe AC, Fahey K, Falcone A, Farnese C, Farzan Y, Felix J, Fernandez-Martinez E, Fernandez Menendez P, Ferraro F, Fields L, Filkins A, Filthaut F, Fitzpatrick RS, Flanagan W, Fleming B, Flight R, Fowler J, Fox W, Franc J, Francis K, Franco D, Freeman J, Freestone J, Fried J, Friedland A, Fuess S, Furic I, Furmanski AP, Gago A, Gallagher H, Gallego-Ros A, Gallice N, Galymov V, Gamberini E, Gamble T, Gandhi R, Gandrajula R, Gao S, Garcia-Gamez D, García-Peris MÁ, Gardiner S, Gastler D, Ge G, Gelli B, Gendotti A, Gent S, Ghorbani-Moghaddam Z, Gibin D, Gil-Botella I, Girerd C, Giri AK, Gnani D, Gogota O, Gold M, Gollapinni S, Gollwitzer K, Gomes RA, Bermeo LVG, Fajardo LSG, Gonnella F, Gonzalez-Cuevas JA, Goodman MC, Goodwin O, Goswami S, Gotti C, Goudzovski E, Grace C, Graham M, Gramellini E, Gran R, Granados E, Grant A, Grant C, Gratieri D, Green P, Green S, Greenler L, Greenwood M, Greer J, Griffith WC, Groh M, Grudzinski J, Grzelak K, Gu W, Guarino V, Guenette R, Guglielmi A, Guo B, Guthikonda KK, Gutierrez R, Guzowski P, Guzzo MM, Gwon S, Habig A, Hackenburg A, Hadavand H, Haenni R, Hahn A, Haigh J, Haiston J, Hamernik T, Hamilton P, Han J, Harder K, Harris DA, Hartnell J, Hasegawa T, Hatcher R, Hazen E, Heavey A, Heeger KM, Heise J, Hennessy K, Henry S, Morquecho MAH, Herner K, Hertel L, Hesam AS, Hewes J, Higuera A, Hill T, Hillier SJ, Himmel A, Hoff J, Hohl C, Holin A, Hoppe E, Horton-Smith GA, Hostert M, Hourlier A, Howard B, Howell R, Huang J, Huang J, Hugon J, Iles G, Ilic N, Iliescu AM, Illingworth R, Ioannisian A, Itay R, Izmaylov A, James E, Jargowsky B, Jediny F, Jesùs-Valls C, Ji X, Jiang L, Jiménez S, Jipa A, Joglekar A, Johnson C, Johnson R, Jones B, Jones S, Jung CK, Junk T, Jwa Y, Kabirnezhad M, Kaboth A, Kadenko I, Kamiya F, Karagiorgi G, Karcher A, Karolak M, Karyotakis Y, Kasai S, Kasetti SP, Kashur L, Kazaryan N, Kearns E, Keener P, Kelly KJ, Kemp E, Ketchum W, Kettell SH, Khabibullin M, Khotjantsev A, Khvedelidze A, Kim D, King B, Kirby B, Kirby M, Klein J, Koehler K, Koerner LW, Kohn S, Koller PP, Kordosky M, Kosc T, Kose U, Kostelecký VA, Kothekar K, Krennrich F, Kreslo I, Kudenko Y, Kudryavtsev VA, Kulagin S, Kumar J, Kumar R, Kuruppu C, Kus V, Kutter T, Lambert A, Lande K, Lane CE, Lang K, Langford T, Lasorak P, Last D, Lastoria C, Laundrie A, Lawrence A, Lazanu I, LaZur R, Le T, Learned J, LeBrun P, Miotto GL, Lehnert R, de Oliveira MAL, Leitner M, Leyton M, Li L, Li S, Li SW, Li T, Li Y, Liao H, Lin CS, Lin S, Lister A, Littlejohn BR, Liu J, Lockwitz S, Loew T, Lokajicek M, Lomidze I, Long K, Loo K, Lorca D, Lord T, LoSecco JM, Louis WC, Luk KB, Luo X, Lurkin N, Lux T, Luzio VP, MacFarland D, Machado AA, Machado P, Macias CT, Macier JR, Maddalena A, Madigan P, Magill S, Mahn K, Maio A, Maloney JA, Mandrioli G, Maneira J, Manenti L, Manly S, Mann A, Manolopoulos K, Plata MM, Marchionni A, Marciano W, Marfatia D, Mariani C, Maricic J, Marinho F, Marino AD, Marshak M, Marshall C, Marshall J, Marteau J, Martin-Albo J, Martinez N, Caicedo DAM, Martynenko S, Mason K, Mastbaum A, Masud M, Matsuno S, Matthews J, Mauger C, Mauri N, Mavrokoridis K, Mazza R, Mazzacane A, Mazzucato E, McCluskey E, McConkey N, McFarland KS, McGrew C, McNab A, Mefodiev A, Mehta P, Melas P, Mellinato M, Mena O, Menary S, Mendez H, Menegolli A, Meng G, Messier MD, Metcalf W, Mewes M, Meyer H, Miao T, Michna G, Miedema T, Migenda J, Milincic R, Miller W, Mills J, Milne C, Mineev O, Miranda OG, Miryala S, Mishra CS, Mishra SR, Mislivec A, Mladenov D, Mocioiu I, Moffat K, Moggi N, Mohanta R, Mohayai TA, Mokhov N, Molina J, Bueno LM, Montanari A, Montanari C, Montanari D, Zetina LMM, Moon J, Mooney M, Moor A, Moreno D, Morgan B, Morris C, Mossey C, Motuk E, Moura CA, Mousseau J, Mu W, Mualem L, Mueller J, Muether M, Mufson S, Muheim F, Muir A, Mulhearn M, Muramatsu H, Murphy S, Musser J, Nachtman J, Nagu S, Nalbandyan M, Nandakumar R, Naples D, Narita S, Navas-Nicolás D, Nayak N, Nebot-Guinot M, Necib L, Negishi K, Nelson JK, Nesbit J, Nessi M, Newbold D, Newcomer M, Newhart D, Nichol R, Niner E, Nishimura K, Norman A, Norrick A, Northrop R, Novella P, Nowak JA, Oberling M, Del Campo AO, Olivier A, Onel Y, Onishchuk Y, Ott J, Pagani L, Pakvasa S, Palamara O, Palestini S, Paley JM, Pallavicini M, Palomares C, Pantic E, Paolone V, Papadimitriou V, Papaleo R, Papanestis A, Paramesvaran S, Park JC, Parke S, Parsa Z, Parvu M, Pascoli S, Pasqualini L, Pasternak J, Pater J, Patrick C, Patrizii L, Patterson RB, Patton SJ, Patzak T, Paudel A, Paulos B, Paulucci L, Pavlovic Z, Pawloski G, Payne D, Pec V, Peeters SJM, Penichot Y, Pennacchio E, Penzo A, Peres OLG, Perry J, Pershey D, Pessina G, Petrillo G, Petta C, Petti R, Piastra F, Pickering L, Pietropaolo F, Pillow J, Pinzino J, Plunkett R, Poling R, Pons X, Poonthottathil N, Pordes S, Potekhin M, Potenza R, Potukuchi BVKS, Pozimski J, Pozzato M, Prakash S, Prakash T, Prince S, Prior G, Pugnere D, Qi K, Qian X, Raaf JL, Raboanary R, Radeka V, Rademacker J, Radics B, Rafique A, Raguzin E, Rai M, Rajaoalisoa M, Rakhno I, Rakotondramanana HT, Rakotondravohitra L, Ramachers YA, Rameika R, Delgado MAR, Ramson B, Rappoldi A, Raselli G, Ratoff P, Ravat S, Razafinime H, Real JS, Rebel B, Redondo D, Reggiani-Guzzo M, Rehak T, Reichenbacher J, Reitzner SD, Renshaw A, Rescia S, Resnati F, Reynolds A, Riccobene G, Rice LCJ, Rielage K, Rigaut Y, Rivera D, Rochester L, Roda M, Rodrigues P, Alonso MJR, Rondon JR, Roeth AJ, Rogers H, Rosauro-Alcaraz S, Rossella M, Rout J, Roy S, Rubbia A, Rubbia C, Russell B, Russell J, Ruterbories D, Saakyan R, Sacerdoti S, Safford T, Sahu N, Sala P, Samios N, Sanchez MC, Sanders DA, Sankey D, Santana S, Santos-Maldonado M, Saoulidou N, Sapienza P, Sarasty C, Sarcevic I, Savage G, Savinov V, Scaramelli A, Scarff A, Scarpelli A, Schaffer T, Schellman H, Schlabach P, Schmitz D, Scholberg K, Schukraft A, Segreto E, Sensenig J, Seong I, Sergi A, Sergiampietri F, Sgalaberna D, Shaevitz MH, Shafaq S, Shamma M, Sharma HR, Sharma R, Shaw T, Shepherd-Themistocleous C, Shin S, Shooltz D, Shrock R, Simard L, Simos N, Sinclair J, Sinev G, Singh J, Singh J, Singh V, Sipos R, Sippach FW, Sirri G, Sitraka A, Siyeon K, Smargianaki D, Smith A, Smith A, Smith E, Smith P, Smolik J, Smy M, Snopok P, Nunes MS, Sobel H, Soderberg M, Salinas CJS, Söldner-Rembold S, Solomey N, Solovov V, Sondheim WE, Sorel M, Soto-Oton J, Sousa A, Soustruznik K, Spagliardi F, Spanu M, Spitz J, Spooner NJC, Spurgeon K, Staley R, Stancari M, Stanco L, Steiner HM, Stewart J, Stillwell B, Stock J, Stocker F, Stocks D, Stokes T, Strait M, Strauss T, Striganov S, Stuart A, Summers D, Surdo A, Susic V, Suter L, Sutera CM, Svoboda R, Szczerbinska B, Szelc AM, Talaga R, Tanaka HA, Oregui BT, Tapper A, Tariq S, Tatar E, Tayloe R, Teklu AM, Tenti M, Terao K, Ternes CA, Terranova F, Testera G, Thea A, Thompson JL, Thorn C, Timm SC, Todd J, Tonazzo A, Torti M, Tortola M, Tortorici F, Totani D, Toups M, Touramanis C, Trevor J, Trzaska WH, Tsai YT, Tsamalaidze Z, Tsang KV, Tsverava N, Tufanli S, Tull C, Tyley E, Tzanov M, Uchida MA, Urheim J, Usher T, Vagins MR, Vahle P, Valdiviesso GA, Valencia E, Vallari Z, Valle JWF, Vallecorsa S, Berg RV, de Water RGV, Forero DV, Varanini F, Vargas D, Varner G, Vasel J, Vasseur G, Vaziri K, Ventura S, Verdugo A, Vergani S, Vermeulen MA, Verzocchi M, de Souza HV, Vignoli C, Vilela C, Viren B, Vrba T, Wachala T, Waldron AV, Wallbank M, Wang H, Wang J, Wang Y, Wang Y, Warburton K, Warner D, Wascko M, Waters D, Watson A, Weatherly P, Weber A, Weber M, Wei H, Weinstein A, Wenman D, Wetstein M, While MR, White A, Whitehead LH, Whittington D, Wilking MJ, Wilkinson C, Williams Z, Wilson F, Wilson RJ, Wolcott J, Wongjirad T, Wood K, Wood L, Worcester E, Worcester M, Wret C, Wu W, Wu W, Xiao Y, Yang G, Yang T, Yershov N, Yonehara K, Young T, Yu B, Yu J, Zaki R, Zalesak J, Zambelli L, Zamorano B, Zani A, Zazueta L, Zeller GP, Zennamo J, Zeug K, Zhang C, Zhao M, Zhao Y, Zhivun E, Zhu G, Zimmerman ED, Zito M, Zucchelli S, Zuklin J, Zutshi V, Zwaska R. Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment: DUNE Collaboration. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2021; 81:322. [PMID: 34720713 PMCID: PMC8550327 DOI: 10.1140/epjc/s10052-021-09007-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 02/23/2021] [Indexed: 06/13/2023]
Abstract
The Deep Underground Neutrino Experiment (DUNE) will be a powerful tool for a variety of physics topics. The high-intensity proton beams provide a large neutrino flux, sampled by a near detector system consisting of a combination of capable precision detectors, and by the massive far detector system located deep underground. This configuration sets up DUNE as a machine for discovery, as it enables opportunities not only to perform precision neutrino measurements that may uncover deviations from the present three-flavor mixing paradigm, but also to discover new particles and unveil new interactions and symmetries beyond those predicted in the Standard Model (SM). Of the many potential beyond the Standard Model (BSM) topics DUNE will probe, this paper presents a selection of studies quantifying DUNE's sensitivities to sterile neutrino mixing, heavy neutral leptons, non-standard interactions, CPT symmetry violation, Lorentz invariance violation, neutrino trident production, dark matter from both beam induced and cosmogenic sources, baryon number violation, and other new physics topics that complement those at high-energy colliders and significantly extend the present reach.
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Grants
- MR/T019530/1 Medical Research Council
- MR/T041323/1 Medical Research Council
- MSMT, Czech Republic
- NRF, South Korea
- Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- SERI, Switzerland
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- U.S. Department of Energy
- CERN
- Türkiye Bilimsel ve Teknolojik Arastirma Kurumu
- The Royal Society, United Kingdom
- Canada Foundation for Innovation
- U.S. NSF
- FCT, Portugal
- CEA, France
- CNRS/IN2P3, France
- European Regional Development Fund
- Science and Technology Facilities Council
- H2020-EU, European Union
- IPP, Canada
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
- CAM, Spain
- MSCA, European Union
- Instituto Nazionale di Fisica Nucleare
- Fundacção de Amparo à Pesquisa do Estado de Goiás
- Ministerio de Ciencia e Innovación
- Fundacion “La Caixa” Spain
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Moon J, Tunuguntla H, Tume S, Spinner J, Elias B, McMullen J, Dreyer W, Denfield S, Price J, Choudhry S, Puri K, Spigel Z, Cho J, Adachi I. Clinical Outcomes of Ventricular Assist Device for Failing Bidirectional Glenn Physiology. J Heart Lung Transplant 2021. [DOI: 10.1016/j.healun.2021.01.1959] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Moreno-Martinez D, Aguiar P, Auray-Blais C, Beck M, Bichet DG, Burlina A, Cole D, Elliott P, Feldt-Rasmussen U, Feriozzi S, Fletcher J, Giugliani R, Jovanovic A, Kampmann C, Langeveld M, Lidove O, Linhart A, Mauer M, Moon JC, Muir A, Nowak A, Oliveira JP, Ortiz A, Pintos-Morell G, Politei J, Rozenfeld P, Schiffmann R, Svarstad E, Talbot AS, Thomas M, Tøndel C, Warnock D, West ML, Hughes DA. Standardising clinical outcomes measures for adult clinical trials in Fabry disease: A global Delphi consensus. Mol Genet Metab 2021; 132:234-243. [PMID: 33642210 DOI: 10.1016/j.ymgme.2021.02.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 02/01/2021] [Accepted: 02/01/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND Recent years have witnessed a considerable increase in clinical trials of new investigational agents for Fabry disease (FD). Several trials investigating different agents are currently in progress; however, lack of standardisation results in challenges to interpretation and comparison. To facilitate the standardisation of investigational programs, we have developed a common framework for future clinical trials in FD. METHODS AND FINDINGS A broad consensus regarding clinical outcomes and ways to measure them was obtained via the Delphi methodology. 35 FD clinical experts from 4 continents, representing 3389 FD patients, participated in 3 rounds of Delphi procedure. The aim was to reach a consensus regarding clinical trial design, best treatment comparator, clinical outcomes, measurement of those clinical outcomes and inclusion and exclusion criteria. Consensus results of this initiative included: the selection of the adaptative clinical trial as the ideal study design and agalsidase beta as ideal comparator treatment due to its longstanding use in FD. Renal and cardiac outcomes, such as glomerular filtration rate, proteinuria and left ventricular mass index, were prioritised, whereas neurological outcomes including cerebrovascular and white matter lesions were dismissed as a primary or secondary outcome measure. Besides, there was a consensus regarding the importance of patient-related outcomes such as general quality of life, pain, and gastrointestinal symptoms. Also, unity about lysoGb3 and Gb3 tissue deposits as useful surrogate markers of the disease was obtained. The group recognised that cardiac T1 mapping still has potential but requires further development before its widespread introduction in clinical trials. Finally, patients with end-stage renal disease or renal transplant should be excluded unless a particular group for them is created inside the clinical trial. CONCLUSION This consensus will help to shape the future of clinical trials in FD. We note that the FDA has, coincidentally, recently published draft guidelines on clinical trials in FD and welcome this contribution.
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Joy G, Crane JD, Lau C, Augusto J, Brown LAE, Chowdhary A, Kotecha T, Plein S, Fontana M, Moon JC, Kellman P, Xue H, Cruickshank JK, Mcgowan BM, Manisty C. Impact of obesity on myocardial microvasculature assessed using fully-automated inline myocardial perfusion mapping CMR. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeaa356.296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public Institution(s). Main funding source(s): Guy"s and St Thomas" Charity University College London Hospitals Biomedical Research Centre
Background
Obesity and cardiovascular disease are associated, but the relationship is poorly understood. Myocardial perfusion, metabolic derangement and lipotoxicity appear adversely associated in many scenarios (myocardial injury, diastolic dysfunction, diabetes). Altered perfusion (by PET) predicts outcome, and it is hypothesised that perfusion derangement is part of causality for cardiac disease and adverse outcomes.
Purpose
To assess the presence and pattern of myocardial microvascular dysfunction in patients with obesity (scheduled for bariatric surgery) using stress quantitative perfusion mapping.
Methods
38 subjects with obesity planned to undergo bariatric surgery and 38 age and sex matched healthy volunteers (no diabetes, no hypertension) underwent anthropometry, biochemistry and CMR at 1.5T (Siemens) with cine imaging, stress (adenosine 140-210 mcg/kg/min) and rest fully-automated quantitative perfusion mapping.
Results
Bariatric patients had a higher BMI (44 ± 6.4 vs 26.5 ± 4kg/m2 p = 0.001); 58%(22) were diabetic and 58%(22) had hypertension. Bariatric patients had higher absolute but lower indexed end-diastolic volumes, and overall higher ejection fractions (+5%) (see Table). Rest myocardial blood flow (MBF) in bariatric patients was the same (1.00 ± 0.3 vs 0.88 ± 0.24 p = 0.052), but stress perfusion results were significantly lower both for stress MBF (2.35 ± 0.69 vs 2.93 ± 0.76ml/g/min p = 0.001) and myocardial perfusion reserve (MPR 2.48 ± 0.82 vs 3.4 ± 0.81ml/g/min p = 0.0001). Although this was transmural, the endocardial stress MBF was particularly negatively affected in the bariatric cohort compared to controls (endocardial MBF 2.16 ± 0.65 vs 2.82 ± 0.73ml/g/min, p = 0.0001 vs epicardial MBF: 2.52 ± 0.76 vs 3.06 ± 0.79 p = 0.003), meaning there was an increased endo-epicardial stress MBF gradient in bariatric patients (0.87 ± 0.12 vs 0.92 ± 0.07 p = 0.03).
Conclusion
Compared to healthy controls, patients with obesity have abnormal myocardial stress perfusion with reduced global perfusion, perfusion reserve and an increased transmyocardial perfusion gradient.
Table - myocardial perfusion parameters Category Bariatric patients n = 38 Controls n = 38 p value Age (years) 48 ± 11 45 ± 13 0.25 n male (%) 12 (32%) 10 (36%) 0.32 LVEDV (ml) 168 ± 37 149 ± 31 0.017 LVEDVi (ml/m2) 70.4 ± 12.3 78.8 ± 12.1 0.004 LV Mass (g) 116 ± 31 99 ± 28 0.019 EF (%) 70 ± 8 65 ± 5 0.002 LVEDV - left ventricular end-diastolic volume, EF - ejection fraction
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Seraphim A, Knott K, Beirne AM, Augusto J, Menacho K, Joy G, Artico J, Bhuva A, Torii R, Triebel T, Xue H, Moon J, Jones D, Kellman P, Manisty C. Use of quantitative myocardial perfusion mapping by CMR for characterisation of ischaemia in patients post coronary artery bypass graft surgery. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeaa356.295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Foundation. Main funding source(s): British Heart Foundation
Background
Quantitative myocardial perfusion mapping using Cardiac Magnetic Resonance (CMR) imaging is used for evaluation of ischaemia in the context of native vessel coronary disease, but its diagnostic performance in patients with grafts is not well established. Perfusion defects are often detected in these patients, but whether these are a consequence of a technical limitation (delayed contrast arrival from graft conduits) or a true reflection of reduced myocardial blood flow is unclear.
Methods
39 patients undergoing stress perfusion CMR with previous coronary artery bypass graft (CABG) surgery, unobstructed left internal mammary artery (LIMA) grafts to the left anterior descending (LAD) artery on coronary angiography and no CMR evidence of prior LAD infarction were included. Myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) were evaluated with quantitative perfusion mapping and the factors determining MBF in the LIMA-LAD territory (AHA segments 1,2,7,8,13,14), including the impact of delayed contrast arrival through the LIMA graft were evaluated.
Results
In 28 out of 39 cases a myocardial perfusion defect was reported on visual assessment in LIMA-LAD myocardial territory, despite the presence of unobstructed LIMA graft and no LAD infarction. Chronic total occlusion (CTO) of the native LAD was an independent predictor of stress MBF (B=-0.36, p =0.027) and the strongest predictor of MPR (B=-0.55, p 0.005) within the LIMA-LAD myocardial territory after adjusting for age, left ventricular (LV) ejection fraction, and presence of diabetes. CTO of the native LAD was associated with a reduction in stress MBF in the basal myocardial segments (-0.57ml/g/min, p = 0.002) but had no effect on the MBF of apical segments (-0.31ml/g/min, p = 0.084). Increasing the maximum value for allowable arterial delay (TA) of contrast in the quantitative mapping algorithm resulted in a small increase in myocardial blood flow in the LIMA-LAD territory both at stress (0.07 ± 0.08ml/g/min, p < 0.001) and rest (0.06 ± 0.05ml/g/min, p < 0.001).
Conclusions
Perfusion defects detected in LIMA-LAD subtended territories are common despite graft patency. These defects are likely to represent genuine reduction in MBF, resulting from native LAD coronary occlusion. Prolonged contrast transit time associated with LIMA grafts results in small underestimation of MBF as measured by quantitative CMR perfusion mapping, but does not account for the degree of MBF reduction seen in these patients.
Figure 1. Study patient with unobstructed LIMA to LAD graft and evidence of inducible perfusion defect in LIMA-LAD territories. (A): First pass perfusion CMR imaging. (B): Perfusion mapping showing reduced stress MBF in mid antero-septum (0.85ml/g/min) compared to the apical septum (1.65ml/g/min). (C): Late gadolinium enhancement showing no evidence of previous infarction. (D,E): Coronary angiography demonstrating unobstructed LIMA graft (D) and anastomosis site (E).
Abstract Figure 1.
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Knott K, Seraphim A, Augusto JB, Camaioni C, Kotecha T, Xue H, Joy G, Bhuva AN, Manisty C, Brown LAE, Wong J, Fontana M, Kellman P, Plein S, Moon JC. Influences on myocardial perfusion in non-obstructive coronary disease: an observational quantitative perfusion mapping study. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeaa356.297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): This study was supported by a Clinical Training Research Fellowship (K. Knott) from the British Heart Foundation and directly and indirectly from the Biomedical Research Centre at University College London Hospitals and Barts Heart Centre.
Background
Cardiovascular magnetic resonance (CMR) with automated inline perfusion mapping permits rapid fully automated non-invasive myocardial blood flow (MBF, ml/g/min). Understanding the microvascular component of MBF would help optimize epicardial coronary artery disease detection and potentially serve as an independent diagnostic / therapeutic target.
Purpose
To explore MBF influences at stress and rest in patients with unobstructed epicardial coronary arteries.
Methods
242 participants (mean age 56.9 years) from 5 European centers with unobstructed epicardial coronary arteries and no myocardial scar underwent adenosine vasodilator perfusion mapping at stress and rest. The factors influencing MBF were determined using univariate and multivariate linear regression analyses.
Results
Mean rest perfusion was 0.91+/-0.24ml/g/min. Rest perfusion was higher in females (0.97+/-0.22ml/g/min vs 0.83 +/- 0.24ml/g/min) and lower in patients on beta blockers. Mean stress MBF was 2.53+/-0.82ml/g/min. Factors independently associated with reduced stress MBF were increasing age, diabetes, increasing left ventricular mass (LVMi) and the use of beta blockers. The predicted stress MBF can be obtained from the equation MBF = 2.66–0.015(age-60)–0.013(LVMi-57)-0.405(diabetes)–0.365(beta blocker). This means stress MBF falls 10% over 19 years and that diabetes drops the MBF by the equivalent of being 27 years older. These changes are large: for example, a 70-year-old diabetic would have 30% lower stress MBF than a 35 year-old non-diabetic.
Conclusions
In the absence of obstructive epicardial coronary disease, stress MBF falls with age, diabetes, increased LV mass and beta-blockers. These data may help develop normal reference ranges, input to other modelling (eg CT FFR), and they advance perfusion mapping as a measure of microvascular function.
Abstract Figure. Summary of the determinants of perfusion
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Patel K, Scully P, Nitsche C, Williams S, Tillin T, Captur G, Chako L, Newton J, Kennon S, Menezes L, Pugliese F, Fontana M, Treibel TA, Mascherbauer J, Moon JC. AS-amyloidosis. Dual pathology or novel disease? A multimodality, multi-centre assessment across health and disease. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeaa356.392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Foundation. Main funding source(s): British Heart Foundation
onbehalf
AS-Amyloidosis consortium
Background
The coexistence of severe aortic stenosis (lone AS) and transthyretin cardiac amyloidosis (lone amyloidosis) is common, but the resultant AS-amyloidosis phenotype is unclear.
Purpose
We characterised AS-amyloidosis, hypothesizing that the dual insult of AS-amyloidosis results is a severe phenotype.
Methods
We compared four cohorts with deep phenotyping: 81 older age controls, 359 lone AS, 36 AS-amyloidosis (Perugini grade 2 and 3) and 107 lone amyloidosis (Perugini grade 2 and 3).
Results
AS-amyloidosis was similar to lone AS with respect to left ventricular mass and LVEF (57 (45, 64)%). It was similar to lone amyloidosis with respect to lateral S" (0.04 (0.03, 0.06) m/s), NT-proBNP (4149 (1449, 6459) ng/L) and troponin T (56 (34, 100) ng/L). Whilst, prevalence of carpal tunnel syndrome (CTS) (17%) and diastolic function (E/A ratio 1.1 (0.8, 2.8)) were intermediate.
Conclusion
AS-amyloidosis is not a double insult from AS and amyloidosis, but a mixed phenotype with features similar to lone amyloidosis (cardiac biomarkers), lone AS (remodelling and LVEF) or intermediate (diastology and CTS).
Characteristics across all 4 groups Variable Older age controls (n = 81) Lone AS (n = 359) AS-amyloidosis (n = 36) Lone amyloidosis (n = 107) P value Age (years) 82 (80, 84)*†‡ 85 (80, 88)§∞ 88 (85, 92)# 80 (75, 84) <0.005 Sex (% male) 69 *‡ 49 ∞ 61 # 94 <0.005 Carpal tunnel syndrome (%) 0 2 § 17 # 38 <0.005 Voltage/mass ratio 0.22 (0.14, 0.27)‡ 0.18 (0.13, 0.28)∞ 0.18 (0.09, 0.21)# 0.07 (0.05, 0.10) <0.005 NT-ProBNP (ng/L) 131 (66, 221)*†‡ 1629 (639, 3941)§∞ 4149 (1449, 6459) 2888 (1755, 5483) <0.005 hsTnT (ng/L) 12 (8, 17)*†‡ 24 (15, 40)§∞ 56 (34, 100) 62 (41, 82) <0.005 Inferolateral wall thickness (cm) 0.9 (0.8, 1.0)*†‡ 1.1 (0.9, 1.3)∞ 1.3 (1.1, 1.5)# 1.7 (1.6, 1.9) <0.005 Anteroseptal wall thickness (cm) 1.0 (0.9, 1.2)*†‡ 1.4 (1.2, 1.6)§∞ 1.5 (1.3, 1.8) 1.7 (1.6, 1.9) <0.005 Indexed LV mass (g/m2) 79 (66, 102)*†‡ 128 (99, 152)∞ 126 (116, 140)# 174 (159, 200) <0.005 LVEF (%) 59 (54, 63)‡ 59 (50, 65)∞ 57 (45, 64)# 39 (31, 48) <0.005 Lateral S" (m/s) 0.08 (0.07, 0.09)*†‡ 0.07 (0.05, 0.08)§∞ 0.05 (0.04, 0.07) 0.05 (0.04, 0.06) <0.005 Septal S" (m/s) 0.06 (0.06, 0.08)*†‡ 0.05 (0.04, 0.06)∞ 0.04 (0.03, 0.06) 0.04 (0.03, 0.05) <0.005 E/A 0.7 (0.6, 0.8)*†‡ 0.8 (0.7, 1.3)§∞ 1.1 (0.8, 2.8)# 2.4 (1.8, 3.3) <0.005 RV Wall thickness (cm) 0.4 (0.3, 0.4)*†‡ 0.4 (0.4, 0.6)∞ 0.6 (0.4, 0.7)# 0.8 (0.7, 1.0) <0.005 TAPSE (cm) 2.4 (2.0, 2.7)*†‡ 2.1 (1.6, 2.5)∞ 1.9 (1.5, 2.1)# 1.4 (1.2, 1.9) <0.005 Classical LFLG AS (%) 9 13 0.472 * p < 0.05, Old age control vs Lone AS † p < 0.05, Old age control vs AS-amyloidosis ‡ p < 0.05, Old age control vs Lone amyloidosis § p < 0.05, Lone AS vs AS-amyloidosis ∞ p < 0.05, Lone AS vs Lone amyloidosis # p < 0.05, AS-amyloidosis vs Lone amyloidosis Abstract Figure. AS-amyloidosis compared to other cohorts
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Torlasco C, D"silva A, Bhuva AN, Faini A, Augusto JB, Knott KD, Benedetti G, Scully P, Parati G, Lloyd G, Hughes A, Sharma S, Manisty C, Osculati G, Moon JC. Pulsatile and resistive systolic loads as determinants of left ventricular remodelling after physical training. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeaa356.422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): British Heart Foundation Barts Cardiovascular Biomedical Research Centre
onbehalf
The Marathon Study Consortium
Introduction
Cardiovascular function depends on the inter-relation between heart and vasculature. The contribution of aorta and peripheral vessels to the total systolic load of the left ventricle (LV) can be represented respectively by a "pulsatile" and a "resistive" component. We sought to understand their interrelation by exploring how LV remodelling occurred with altered load associated with an external stimulus (training). Methods: 237 untrained healthy male and female subjects volunteering for their first-time marathon were recruited. At baseline and after 6 months of unsupervised training, race completers underwent 1.5T cardiac magnetic resonance, brachial and non-invasive central blood pressure assessment. For analysis, runners were divided into 4 groups according to the variation (positive versus null or negative) in Total Arterial Compliance Index (TACi), representing the pulsatile component of the LV load, and in Systemic Vascular Resistance Index (SVRI), representing the resistive component of the LV load. Results: 138runners (age 21-69 years; F: 51%) completed the race. Data are reported for each variable as Δ mean [95% Confidence Interval]. In the whole cohort, training was associated with a small increase in LV mass index (+3g/m2, [0, 6 g/m2]), indexed LV end-diastolic volume (EDVi) (+3ml/m2, [-2, 5 3ml/m2]), in LV mass/LVEDV ratio (+0.02g/ml, [0.00, 0.04 g/ml]) and in TACi (+0.02ml/m2, [0.02, 0.38 ml/m2]). SVRi mildly fell (-43dyn·s/cm2[-103, 17dyn·s/cm2]). TACi increase was associated with LVEDVi increase and no change in LV mass/EDV (eccentric remodelling). On the other hand, both TACi reduction and SVRi increase were associated with increase in LV mass/EDV and no significant change in LVEDVi (concentric remodelling). A similar increase in LV mass was observed in all groups. See Table. Conclusion: Cardiac remodelling observed after mild, medium term, unsupervised training seems to be related to the modifications of aorta and peripheral vessels. In particular, a reduction in pulsatile load seems associated with eccentric LV remodelling, while an increase in both pulsatile and resistive with concentric LV remodelling. Further research is needed to understand the interaction between TACi and SVRi.
Table 1 LV EDVi (ml/m2) LV mass index (g/m2) LV mass/EDV TACi increase (n = 75) +4 [0, 9] +3 [0, 7] 0 [-0.03, 0.03] TACi decrease (n = 62) -1 [-6, 4] +3 [0, 8] 0.04 [0.01, 0.07] SVRi increase (n = 63) 0 [-4,4] +3 [0, 7] +0.03 [0, 0.06] SVRi decrease (n = 73) +3 [-3, 7] +3 [-1, 6] +0.01 [-0.02, 0.04]
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