$ / 6 'H
|
|
- Asher Maxwell
- 6 years ago
- Views:
Transcription
1 * #$% &$'( )$'* +, #-./,0!" : ' ,,(% 5-25 : 9' ' , 8 2%' /!8 % / +, : 6 + $ 3-$. 8( ;!!- 9' 9.'. 2' &<= # #< / ".( 33 2 %, :>( $ / 8 6.(@ ).( C A(B 4) # A( 3) ' % 2( 6/ A(B 12) E ( D A(B 6) ' 2. / %-.(B 4 2.) ' % E(B,1 A(B 6.(B 4) A( 19) Roux-en-Y )'F 2' (. % &' ( " #! * 131
2 ( )* +, ' -! $ / 6 A@ 'H $'% I (stent) D1 9-6 A, 2. T D( 2. "$.3-$ +$, &$'( 21 J.@ 2.? :B K( A,/ E, D.&'( 3- B 9' 6.D1 9- % %' $ $ +$ 538 "/ # #8 :< #$% )$(" 2. / 8,L.67/ )'* #8 / M 7 D(',L. #% #'N #- N 8 # 2..&<* <% #-./,0 7 2' #8$ $ 7 #-./.58 2'.Roux-en-Y 132
3 Management of the Extrahepatic Bile Ducts Hamoud Hamed * Abstract Objective: Determining the ideal way and the best timing for management of injuries of the extrahepatic bile ducts in respect to appropriateness, results, and complications. Methods: The study included 25 patients who have an injury in the main extrahepatic bile ducts. All patients were managed in Al Assad University Hospital in Damascus between 2002 and Data was collected retrospectively to determine the mechanism, diagnostic tools, and management. All patients were followed until the date of publication. The results of surgical repair were assessed through evaluation of the clinical situation of the patients and according to the results of laboratory and imaging investigation. Results: A total of 25 patients were studied. The median age of patients was 33. The causes of injury were laparoscopic cholecystectomy (20 cases), open cholecystectomy (4 cases), and penetrating abdominal trauma (1 case). The injury was diagnosed either intraoperatively (6 cases) or postoperatively (19 cases). Of the latter group the patient presented with postoperative biliary leakage (12 cases), abdominal pain (3 cases), and obstructive jaundice (3 cases). Surgical management included Roux-en-Y hepaticojeujenal or choledochojeujenal anastomoses with bile duct stenting in 20 cases, direct closure at laparoscopy in one case, direct closure with T-tube placement at laparotomy in two cases, and only stenting through ERCP in one case. Management was successful without major complications in 21 cases. Four patients had significant complications: common hepatic duct stone, hepatic artery aneurysm with hemobilia, dehiscence of choledochoduedenal anastomoses, and stricture in the common bile duct. All complicated cases were managed successfully. Conclusion: Laparoscopic cholecystectomy is currently the leading cause of extrahepatic bile duct injury. The complications of these injuries are best avoided by prevention. when they happen they are best managed and repaired if diagnosed intraoperatively. When diagnosis is delayed surgical intervention must be delayed for months. The best surgical repair for these injuries is Roux-en-Y hepaticojeujenal or choledochojeujenal anastomoses, which is associated with the best results. * Prof. Ass. Department of Surgery Faculty of Medicine Damascus University. 133
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
5 )? ? < 33 7? ' (.(%88 40< 0# 9 &! -. = 0 4 >+ 4 >+ 3(%80) 20 # -. 4 #, <' 0' 0#? 9 3(%16) ' 4#!, 4 #?! P = & >L* N*?Q 5.(%4) 0# 40 >+ - # 0# N*? 3(%24) -. F<. >L*? #!.' N*0? <# (%76) < ). 40 >0+ -* D ;= <# ( <) 40( 0(, %, 0 > 9 R 09 >L* (> ) 0< -.0 0! 3 G 2<. -* <# (-. 0! 0") ( )*, ' 0# R0, 30 ' 0! 3%0.(4 01 %! 2? 25 -?,0 0' # 9 L8 9 7, # ( )* " 4 >L* 0" 7? F.M; 7 (.2006& 7, # > 9 >?* 4 >+ ) 9 (0 18) 7? <! 3(= G*! D( 7, 78! <# 0 >0 # 9 6 ' -!.> & ! E = 0D 0 0(.1( 9 ( > F! # 9 N* -0! 0 -F<. 3:! %0! % 3N*? 0 O :0; # L ,? -. :; 31 +' ! 6-4 >( 3 J0; ( ? 0( 3(%12) '<# ( 7? 135
6 ( )* +, ' -! ' #,.(MRCP) F8 9 G, >* ( J 78 G! ERCP, &' J 32' CA19-9 %0! 0 0 #.MRCP 0? < MRCP 40< 0# 09 -? 70! 3(%8) # ( 0<' &0" ( 0 ( 4< -0? 3(%76) 19 # R,.(%16) -. 4 # 4< # 70? 0 G -! , ( 0 ) * N, DL0! 3P0 0 +* 3 3 < D,, 00D 3[SGOT /SGPT] 00( 0( 0 3([PT] 0 0# ) 90,0 ' 3% 0 <' 3 (, ' >( # ( (ERCP) ' ' S%TUV! # 3(1) 00'P 00, O I D 9 ERCP ERCP ' 3? (1) #8 0 '0 0'* 4 W-STUV! >L* 9 -, ( 136
7 0 40< # stent? 1 -. < 3ERCP ' 45-18) (O0, 7 4X, F8 +0, 4X, ' stent 0 0 Roux-en-Y >(.(2 >( # () '0 I 0, 3(4 ) = 4X0, 3(0 ) T &!? #,, >0! 7,0 )0* -0!) >0# &0 0D( ) 6 4X, -, ( -.!.(2< <# 20 # ;M8 -, 4< >D 7 (%80) 0 ( 0 ( 4<),0 4X0, F08 (R, Roux- >( 4 <' 7 + % :(2) #8 '% M R'. #8$ 6$,$ 8 $( 9$. 9 Roux-en-Y 2$. $30 $L 6$..8 ( $ $ ' 3 6" 6 '.!L # N L " ' * en-y # 0 0 0# ' 2<. 18 > >1 0.4X, #? 6 > # 137
8 ( )* +, ' -! :0; 0 &0 -,? - )0*! 0D( # F ) -9 # (; D( -! D( :0; 0 3(%20) -.0 Z* 7? # -; -,? R 09 # > 1 %! 3(( L57) # -,? 9 6 > 9! ; K! # *H L[ -?* -..0 > F! # L5! %, # -0' 34X0,! > " 9 %!.(ICU) 4! 0 6 %( #5 #! D ED 0<' %(.+ 7, ' 4X, 0 ' # 9 %( + >0 (3) >(0 I? 39. : 4X, stent >*8 > 1! 3 >" & 3 1# -# #!. 0 0<# 0,, 4X, + 4X, FY 1L8, O, LX8 3& LX8 +0 0( 4X, 3O, > # :L! E &. -,? ( D 2= ' '* ' 0,0 0' # +D (40 0) >L* K# ( 09 0 T & 0! 0? 2, 4P 9 -,.( ) 0 0 4< # stent? ; E ( 3ERCP 0 4< #? 6 F5.2< E ( 4X, F8 6 0 < <# 4X, FY ;.-,?
9 -0 34X0, 0 F08.>( 40< 4X, W-STUV! # ( 3D( )* O, 7 ( %, & 0D( 708 >! 6 J0(, -0' * 0! 0 ( ( L :L0!.-,??0 G0 6 # 30 0 E " MRCP& (50 F8 G 0( >* "9 # 0( 40< # 4 4.4X, <' #? ( 0 0= >*Y ERCP %! 0 - D ? 0* ' 4 )* 2$. $.0( 6 6 8$ 6 E,8 2 (B :(3) #8 $? E$,8 6 UETS'H E,8.6 %,/ E, , 0( 1 139
10 ( )* +, ' -! 0 ERCP ' (stent?! [tube 3\0 >* >L* (%76) 0 >* (%8) - 0 7? ( D # -# ; 3-3 1!. 81(,0 0' -0! &! :+ 0!! 708 4# 0-0+ >( 6, ' >0 % 34 >+ >L* #.%=! >+. >0+ 09 :0; 6 " 0 %0 3= ' F 4 ^ K# F 40< 0'< - 0( 6 # ( [13] [7] [6].%0 0 0 ( [20] [15] 1" 4 ^ F >0 # -9 :; 6 " 0"? -( #! & Roux-en-Y -?*? 6 ( ( 4< # 0# -0 >(0 4X, # >0 0V!.( 4< D( #! 0 30? - '0 G > 9 > N0 L " X Prolene ' * ' 0* 70-4 >(.<? 4X, # 4 0? 0 0<# * #! 0 ERCP ' stent 30 40< # +D! & ( # E? 6 4X, F < ( ( 0 -L*0 0 <# 7? 1?* 5 0 >(0 (%16) -. 4 #0?8 0 > R?* 4 '* >L* ) T-] T & 0!? I,! 140
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
12 ( )* +, ' -! 0 >0 #, ' 0 0, 0 %,0 D &01 6 0! 40 >+ ' > #! 3%, 0 G " 0 >L0*, ' 0# ) 9, ' (, ' /. (ERCP) ' ( :0; N* # 2, 2 * #, 6 # -9 0( 0, ' K '0 0( ( < # (stent) &" >* ( " F8 ; [5].4P +D -9 # 9 [9],0 0' >( 0! (MRCP) 0'P 0 &0' ' %0 3O+0, 2* 2 N*? # K. D 0 -F0< # 9 N* # :0; E ( (5 4 ( -9 :; # 0( 0 2 ;. >L* [19] [8] [4] [2]. D,0 0' -! N* :+,0 ' -! E ( 0 # J Y# F! # -.O+ >?#! 0 F! # E ( 9! ; 3-. %24 " # # 0 0# 18 > # ` *. 0" % %, & % F8 F! #? ; 0 0 '? &.=! ; 3 >( (white balance) & 0 %! 0M! 0 0 :01 %, #.%,!. >( 4D O+ -9 0# 0! N*0? # [18] [17] [14].(%24) 142
13 : 0; 0# >? 0#9 0* >(0 [16] [14] [11] &0 >?0,.-.0 0( 09 9 O, 7 4X, 0 8.0( 4 " 4 0 0# 0 :; # -9 0' -0! # K., :, ( -9 &1 9 -;= 8 &01. Y0# %,0 F,0 0( & 2 ' J0. E # 4( ' ( 9 ) " -. :; #.7 a0#5 #05 '0, 78 0 F08 >" F, [13] [8] [7].& ;0= " G*! -. # >0, %, 0 " 3 >0 0 20<. %. " :0; >0 0# &. 4X, FY 9 L8 -. 0* # [19] [17] [1].2 *,0 0' -0! : >L*, ( 3O+0 >?#! -. :; # 32<. 48 & 7 -<?0 6 # " 1! X 0.>0"! &0 ( >< # 0 4P +D -9 L8 4 '* ' 4 E ( # 34-0 Z" N L >" '* 9 (! P -. :; 0* 0 Z '< R? J; (.! P 3+1(! ;9.4< # % [20] [8] [3].0 * '* ( %0 R? 2 R'<. ( 8 0( " X, Y# > #,0 ' # T &!? 0( 0 40 '< K*8 1 7 > #!.'< +, 4X, Y# 4< 143
14 ( )* +, ' -! < (! >?#! ( 9 J0# J0 &0' 30; >"! 0( 708 > 7 -". 0? -"0 L 2= ( 1. 0; > 9 * Y# -. :; # 0#.,0 0' # 9? +, 4X, Y# 1 # # ' 7 > 0 0# > ' G 7, ef 0,0 ' 78 1 [12] [5] [3].L! * -P 0 ' 4X, &!,0 ' 'P? E,* [15] [12] [6] 3?0 6 " [18] 0' 0 0# 0, ( >0X 0#, :; < 8.0 0, ' (:0! > () G*! 20+ >?,# *H >( 9 -,( 0# 0<' :0;! >0 *H f > ' G 7-9 0(! '0 2! 0 3, * - %94-88, F, E J; 0!.%10& 5 -# 40# 0 %! ; # (! 3 )* [9] [8] [2] [1] 0 0#.4 :0; * ? 8 0# 0<' :; W-d<bc' % < ' 4X, >! =L.(%12) -. 6L # -,?! J0 3 J # >?#! (. ( &'( ( B 3 )'L ( %3 % Murr %4 % Yang %6 % Schmidt %0 %
15 ,0 '! L08 &0 >L* 0 '0 I 0,! 2= 4 L05 D ; 34? 0 0 2( 9 E( 8 D ; ) F! #.9.6 1L8 40 *H V>_?d,Q (L[ >?#9.(! 8 1! 0; L[ >?#9 4X, 8 Roux-en-.7 >( + 7 4X, 70 4X0, F8 & & " 9 -( 8 _..Y.8 O,.( 4 %09 9 L8! &.9 20 &0 K9 J 34*.G*! 4 9 L8 48 0" ' * >! 2+ &.10 4X0, F08 0 N0 L.+, '(B < 0 :; : g > <! ( " 3-,? 0 & J. H -,? 40 > = * G0 4 4* #! &.2 40 >0+ F05 0 >0!! 3= :01 0 4* K EY.- >( I? > #.3 >0 '0 I # & 2=.%< ' > J0! <' I J.4 F08 &0,0! 6 0#, ' >=.%= > F! 145
16 ( )* +, ' -! References 1. Briane F. Ceilchrist, Donald D. Trunkey. Surgery of the Alimentary Tract: Biliary Tract Trauma. Shackel Ford's Fourth edition, Volume III, Chapter 23: ; Fu-Quan Yang, Liang Wang: Iatrogenic extrahepatic bile duct injuries in 182 patients: causes and management. Hep Pan Inter 2002; 1,2: Jaques Testart. Chirurgie de la Voie Biliaire Accessoire. EMQ Tome 3, ( ); Johnson SR, Koehler A, Pennington LK, Hanto DW: Long-term results of surgical repair of bile duct injuries following laparoscopic cholecystectomy. Surgery 2000;128: Lillimoe KD, Martin SA, Cameron JL, Yeo CJ,Talamini MA, Kaushal S, Coleman J, VenbruxAC, Savader SJ, Osterman FA, Pitt HA: Majorbile duct injuries during laparoscopic cholecystectomy.ann Surg 1997;25: Margret O, John Q. Hunter. Gallbladder and the Extrahepatic Biliary System Injury to the Biliary Tract. Schwartz Principles of Surgery, 8th edition, Chapter 31: ; Murr MM, Gigot JF, Nagorney DM, HarmsenWS, Ilstrup DM, Farnell MB: Long-term results of biliary reconstruction after laparoscopic bile duct injuries. Arch Surg 1999;134: Ress A.M, Sarr M.G, et al. Spectrum and Management of Major Complications of Laparoscopic Cholecystectomy. AM J Surg 165:655; S. C. Schmidt, J. M. Langrehr, R. E. Hintze, P. Neuhaus: Long-term results and risk factors influencing outcome of major bile duct injuries following cholecystectomy. Bri J Surg 2005; 92: Stewart L, Way LW: Bile duct injuries duringlaparoscopic cholecystectomy. Arch Surg 1995;130: Adamsen S, Hansen OH, Funch-Jensen P, et al. Bile duct injury during laparoscopic cholecystectomy: a prospective nationwide series. J Am Coll Surg 1997; 184: Fletcher DR, Hobbs MST, Tan P, et al. Complications of cholecystectomy: risks of the laparoscopic approach and protective effects of operative cholangiography. A population-based study. Ann Surg 1999; 229:
17 13. Savader SJ, Lillemoe KD, Prescott CA, et al. Laparoscopic cholecystectomy bile duct injuries: a health and financial disaster. Ann Surg 1997; 225: Davidoff AM, Pappas TN, Murray EA, et al. Mechanisms of major biliary complications after laparoscopic cholecystectomy. Ann Surg 1992; 215: Branum G, Schmitt C, Baillie J, et al. Management of major biliary complications after laparoscopic cholecystectomy. Ann Surg 1993; 217: Woods MS, Taverso LW, Kozarek RA, et al. Characteristics of biliary tract complications during laparoscopic cholecystectomy; a multiinstitutional study. Am J Surg 1994; 167: Bergman JJGHM, van den Brink GR, Rauws EAJ, et al. Treatment of bile duct lesions after laparoscopic cholecystectomy. Gut 1996; 38: Lillemoe KD, Martin SA, Cameron JL, et al. Major bile duct injuries during laparoscopic cholecystectomy. Ann Surg 1997; 225: Lillemoe KD, Melton GB, Cameron JL, et al. Postoperative bile duct strictures: management and outcome in the 1990s. Ann Surg 2000; 232: Carroll BJ, Birth M, Phillips EH. Common Bile duct injuries during laparoscopic cholecystectomy that result in litigation. Surg Endosc 1998; 12: /6/11 : 78 6 ^./3/13: K " ^ 147
Supplementary Online Content
Supplementary Online Content Sellers MM, Keele LJ, Sharoky CE, Wirtalla C, Bailey EA, Kelz RR. Association of surgical practice patterns and clinical outcomes with surgeon training in university- or nonuniversity-based
More informationOptimal Patient-specific Post-operative Surveillance for Vascular Surgeries
Optimal Patient-specific Post-operative Surveillance for Vascular Surgeries Peter I. Frazier, Shanshan Zhang, Pranav Hanagal School of Operations Research & Information Engineering, Cornell University
More informationSample Size and Power I: Binary Outcomes. James Ware, PhD Harvard School of Public Health Boston, MA
Sample Size and Power I: Binary Outcomes James Ware, PhD Harvard School of Public Health Boston, MA Sample Size and Power Principles: Sample size calculations are an essential part of study design Consider
More information!"# $ *+, ) $ %& ' ,,, #" 7/+ 8, %" 5$ 5# 3, -/+,, '
!"# $ ** ) $ * %& ' *+, 23/ 4 & ' ' 1, : - /,+ 5 3 63,,, #" 7/+ 8, %" 5$ 5# 3/ 3< 3' =# 9 :' ;/, 5 5& %" % 1' -) $!"# 1, 6& 3-34 & / $/'?, @/', A9 8 1 + 1' :' 3, -/+,, ' (' 1 ) + 1&) $!"#?3 E1 3?< # 59
More informationEffect of the plug flow on the flow characteristics of bile through diseased cystic duct: Casson Model Analysis
Available online at www.pelagiaresearchlibrary.com Advances in Applied Science esearch,, ():98-6 ISS: 976-86 CODE (USA): AASFC Effect of the plug flow on the flow characteristics of bile through diseased
More informationIs there a role for robotics in PAE?
Is there a role for robotics in PAE? S A N D E E P B A G L A, M D V A S C U L A R I N S T I T U T E O F V I R G I N I A W O O D B R I D G E V I R G I N I A U S A A D J U N C T C L I N I C A L A S S O C
More informationStatistics in medicine
Statistics in medicine Lecture 3: Bivariate association : Categorical variables Proportion in one group One group is measured one time: z test Use the z distribution as an approximation to the binomial
More informationEffect on the Flow of Bile Due to Radially Varying Viscosity in the Cystic Duct
International Journal of Scientific and Innovative Mathematical esearch (IJSIM) Volume 2, Issue 2, February 24, PP 8-85 ISSN 2347-37X (Print) & ISSN 2347-342 (Online) www.arcjournals.org Effect on the
More informationA multi-state model for the prognosis of non-mild acute pancreatitis
A multi-state model for the prognosis of non-mild acute pancreatitis Lore Zumeta Olaskoaga 1, Felix Zubia Olaskoaga 2, Marta Bofill Roig 1, Guadalupe Gómez Melis 1 1 Universitat Politècnica de Catalunya
More informationDIAGNOSIS OF FULL THICKNESS ROTATOR CUFF TEARS
1 THE ROLE OF COMMUNITY DIAGNOSTIC ULTRASOUND EXAMINATION IN THE DIAGNOSIS OF FULL THICKNESS ROTATOR CUFF TEARS J E R O M E A. G O L D B E R G M. B. B. S., F. R. A. C. S., F. A. O r t h. A. ( 1, 2 ) W
More informationZero-Gravity. The suspended radiation protection system
Zero-Gravity The suspended radiation protection system Workplace SAFETY The growth in utilization and complexity of fluoroscopic procedures has increased workload for interventionalists, resulting in cumulative
More informationAge of blood: Does it matter? Philip Norris, M.D.
Age of blood: Does it matter? Philip Norris, M.D. How does the clinician look at blood? Fresh Stored Does the RBC storage lesion exist? Retrospective/observational studies suggest older RBC units associated
More informationParts Manual. EPIC II Critical Care Bed REF 2031
EPIC II Critical Care Bed REF 2031 Parts Manual For parts or technical assistance call: USA: 1-800-327-0770 2013/05 B.0 2031-109-006 REV B www.stryker.com Table of Contents English Product Labels... 4
More information6.873/HST.951 Medical Decision Support Spring 2004 Evaluation
Harvard-MIT Division of Health Sciences and Technology HST.951J: Medical Decision Support, Fall 2005 Instructors: Professor Lucila Ohno-Machado and Professor Staal Vinterbo 6.873/HST.951 Medical Decision
More informationMATH 104: INTRODUCTORY ANALYSIS SPRING 2008/09 PROBLEM SET 8 SOLUTIONS
MATH 04: INTRODUCTORY ANALYSIS SPRING 008/09 PROBLEM SET 8 SOLUTIONS. Let f : R R be continuous periodic with period, i.e. f(x + ) = f(x) for all x R. Prove the following: (a) f is bounded above below
More informationFACTORIZATION MACHINES AS A TOOL FOR HEALTHCARE CASE STUDY ON TYPE 2 DIABETES DETECTION
SunLab Enlighten the World FACTORIZATION MACHINES AS A TOOL FOR HEALTHCARE CASE STUDY ON TYPE 2 DIABETES DETECTION Ioakeim (Kimis) Perros and Jimeng Sun perros@gatech.edu, jsun@cc.gatech.edu COMPUTATIONAL
More informationA multi-state model for the prognosis of non-mild acute pancreatitis
A multi-state model for the prognosis of non-mild acute pancreatitis Lore Zumeta Olaskoaga 1, Felix Zubia Olaskoaga 2, Guadalupe Gómez Melis 1 1 Universitat Politècnica de Catalunya 2 Intensive Care Unit,
More informationNatl Res SUM. Natl Res MODE. Natl Res AVE. Natl Res MED. Natl Res STD
Reporting Period: Total Experience of idents Completing Programs in 2007-2008 idency Review Committee for Vascular Surgery [PART 1 ] Number of Programs in the Nation: 78 Number of idents in the Nation:
More informationHOSPITAL PERFORMANCE REPORT 31 Common Medical Procedures and Treatments FFY 2009
HOSPITAL PERFORMANCE REPORT 31 Common Medical Procedures and Treatments FFY 2009 Southeastern Pennsylvania Pennsylvania Health Care Cost Containment Council September 2010 eword The Pennsylvania Health
More informationCROSS SECTIONAL STUDY & SAMPLING METHOD
CROSS SECTIONAL STUDY & SAMPLING METHOD Prof. Dr. Zaleha Md. Isa, BSc(Hons) Clin. Biochemistry; PhD (Public Health), Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia
More informationNatl Res MAX. Natl Res MODE. Natl Res MED. Natl Res MIN
Reporting Period: Total Experience of idents Completing Programs in 2007-2008 idency Review Committee for Pediatric Surgery [PART 1 ] Number of Programs in the Nation: 29 Number of idents in the Nation:
More informationOne-Dimensional Models of the Human Biliary System
W. G. Li Department of Mechanical Engineering, University of Sheffield, Sheffield, S1 3JD, UK X. Y. Luo Department of Mathematics, University of Glasgow, Glasgow, G12 8QW, UK e-mail: X.Y.Luo@maths.gla.ac.uk
More informationDistributed analysis in multi-center studies
Distributed analysis in multi-center studies Sharing of individual-level data across health plans or healthcare delivery systems continues to be challenging due to concerns about loss of patient privacy,
More informationUnderstanding the incremental value of novel diagnostic tests for tuberculosis
Understanding the incremental value of novel diagnostic tests for tuberculosis Nimalan Arinaminpathy & David Dowdy Supplementary Information Supplementary Methods Details of the transmission model We use
More informationHospital Performance Report
Southeastern Pennsylvania Performance Report 31 Common Medical Procedures and Treatments Federal Fiscal Year 2006 October 1, 2005 - September 30, 2006 Pennsylvania Health Care Cost Containment Council
More information!"# 4 +, )-. / , 3* ( I GH ) "!" ( G 3% $ 7 *
!"# ( ) (* ) #* ' :$ #" 4 +, )-. / 0 1 2 1, 3* )- 3 ) 5. / 8 4 " ( 59 :; /- (*, ( 4 + )- #,), 0 B # #+ #_ / #,?@> * $. : " ( )> #, /- 3>7 9 :/-?@> (*. * * ; B (>.).,. ) / # #+
More information" #$ % &'( ) * +, -. /.
#% +#$ % &'( * "!":! -2 - " #$ % &'( * +, -..? @.0 # > = : ; < &+ + (CT #C 5 0, A( #C 5 ; 7 8. DEFB C AB " 4 5 20" #. "# G H5 D D I 88 : #C 5 2 8 822 :+ 24 : 8578 :.0 # "H L B M # "H 0? #" 5 2 0 % # "H
More information"(/ $(/ 5(6 $ (7 8( 9"( :"+ 95 $
2009 *!" ( ( ( ( ( :"$ %$& (C-Kinase CA125 - ") ( *"( (+ $(,-( ( ("$ (+ :"$ 2007/12/1,0 2006/12/1 / $ $ (" 534( $(" 60 ("$ (1 2( $& ( "$ "(/ $(/ 5(6 $ (7 8( 9"( :"+ 95 $ 30 ( (; ( 2( 5
More informationAristithes G. Doumouras BHSc 1, David Gomez MD 1, Barbara Haas MD 1, Donald M. Boyes PhD 2, Avery B. Nathens MD PhD FACS 1,3
Aristithes G. Doumouras BHSc 1, David Gomez MD 1, Barbara Haas MD 1, Donald M. Boyes PhD 2, Avery B. Nathens MD PhD FACS 1,3 1 Keenan Research Center in the Li Ka Shing Knowledge Institute of St Michael
More informationMethod of Enzyme Assay
Method of Enzyme Assay Objective To study the different methods for determining enzyme activity. Use these method in diagnosis of certain diseases How to follow a reaction? Enzyme assays: Are laboratory
More informationImproving the side-to-side stapled anastomosis: comparison of staplers for robust crotch formation
Surgery for Obesity and Related Diseases 14 (2018) 16 22 Original article Improving the side-to-side stapled anastomosis: comparison of staplers for robust crotch formation Masahiro Kimura, M.D., Ph.D.
More informationAlternative Approaches to Thoracoscopic Lobectomy: Uniportal, Supxiphoid,
Alternative Approaches to Thoracoscopic Lobectomy: Uniportal, Supxiphoid, Thomas A. D Amico MD Gary Hock Endowed Professor Chief Thoracic Surgery Chief Medical Officer, Duke Cancer Institute Disclosures
More informationFinite Element Modeling of the Pulse Wave propagation in the aorta for simulation of the Pulse Wave Imaging (PWI) method
Finite Element Modeling of the Pulse Wave propagation in the aorta for simulation of the Pulse Wave Imaging (PWI) method Jonathan Vappou, Ioannis Zervantonakis, Jianwen Luo, and Elisa Konofagou June 2008
More informationHospital Performance Report
Central & Northeastern Pennsylvania Performance Report 30 Common Medical Procedures and Treatments Federal Fiscal Year 2004 (October 1, 2003 - September 30, 2004) Pennsylvania Health Care Cost Containment
More informationPrince County Hospital. Summerside, Prince Edward Island
Prince County Hospital Summerside, Prince Edward Island P R I N C E E D W A R D I S L A N D S I T E Prince County Hospital Full service regional hospital 17,000 square metres 102 beds S I T E Gift Shop
More information= (, ) V λ (1) λ λ ( + + ) P = [ ( ), (1)] ( ) ( ) = ( ) ( ) ( 0 ) ( 0 ) = ( 0 ) ( 0 ) 0 ( 0 ) ( ( 0 )) ( ( 0 )) = ( ( 0 )) ( ( 0 )) ( + ( 0 )) ( + ( 0 )) = ( + ( 0 )) ( ( 0 )) P V V V V V P V P V V V
More informationHuman speech sound production
Human speech sound production Michael Krane Penn State University Acknowledge support from NIH 2R01 DC005642 11 28 Apr 2017 FLINOVIA II 1 Vocal folds in action View from above Larynx Anatomy Vocal fold
More informationAcoustic Shadowing Due to Refractive and Reflective Effects
Acoustic Shadowing Due to Refractive and Reflective Effects F. GRAHAM SOMMER, 2 R. A. FILLY, AND MICHAEL J. MINTON Acoustic shadowing may be seen distal to the margins of rounded structures having different
More informationDepartment of Engineering Science. Robin Cleveland
Department of Engineering Science Robin Cleveland robin.cleveland@eng.ox.ac.uk 1 Engineering Science What is Engineering? What is Engineering Science at Oxford? Biomedical Ultrasound Applications 2 Scientists
More informationSurgical Technology Program End of Program Clinical Performance Competency Checklist
Student Name: Date: Conference Date: Surgical Technology Program End of Program Clinical Performance Competency Checklist Rating Scale: 0 = Not Performed I. Aseptic Technique a. Wears proper O.R. attire
More informationCentral Coast Day Hospital ACHS Clinical Indicator Report 2H2017
Central Coast Day Hospital ACHS Clinical Indicator Report 2H2017 Page 1 of 34 0.00 Aggregate Rate 0.01 0.03 Rate FH2017 0.00 Rate SH2016 0.00 Rate FH2016 0.06 C15 Conversion to GA following respiratory
More informationDeep Temporal Generative Models of. Rahul Krishnan, Uri Shalit, David Sontag
Deep Temporal Generative Models of Rahul Krishnan, Uri Shalit, David Sontag Patient timeline Jan 1 Feb 12 May 15 Blood pressure = 130 WBC count = 6*10 9 /L Temperature = 98 F A1c = 6.6% Precancerous cells
More informationOverview of statistical methods used in analyses with your group between 2000 and 2013
Department of Epidemiology and Public Health Unit of Biostatistics Overview of statistical methods used in analyses with your group between 2000 and 2013 January 21st, 2014 PD Dr C Schindler Swiss Tropical
More informationCompare Predicted Counts between Groups of Zero Truncated Poisson Regression Model based on Recycled Predictions Method
Compare Predicted Counts between Groups of Zero Truncated Poisson Regression Model based on Recycled Predictions Method Yan Wang 1, Michael Ong 2, Honghu Liu 1,2,3 1 Department of Biostatistics, UCLA School
More informationAdvances In Robotic Telescopes READ ONLINE
Advances In Robotic Telescopes READ ONLINE If you are searched for a book Advances In Robotic Telescopes in pdf format, then you have come on to the correct site. We present full edition of this ebook
More informationApplications of Low KeV Imaging in Abdomen
Applications of Low KeV Imaging in Abdomen Dushyant Sahani, M.D Director of CT Associate Professor of Radiology Massachusetts General Hospital Harvard Medical School Email-dsahani@partners.org Disclosure
More informationRequest. product overview. Value Analysis Brief. Clinical Information. 510(k) ForceTriad TM. Energy Platform
Request Letter product overview Value Analysis Brief Clinical Information 510(k) ForceTriad TM Energy Platform I am requesting that the ForceTriad TM energy platform be implemented in our facility so that
More informationProbability and Probability Distributions. Dr. Mohammed Alahmed
Probability and Probability Distributions 1 Probability and Probability Distributions Usually we want to do more with data than just describing them! We might want to test certain specific inferences about
More informationRegression techniques provide statistical analysis of relationships. Research designs may be classified as experimental or observational; regression
LOGISTIC REGRESSION Regression techniques provide statistical analysis of relationships. Research designs may be classified as eperimental or observational; regression analyses are applicable to both types.
More informationPhone number: When and how did your pain begin? (a date is required for Medicare and some insurance policies) Date of onset:
C H I R O P R A C T I C O R T H O P E D I C S A N D R E H A B I L I T A T I O N ILJXAi Pain Relief Clinics Please complete all sections. Full Name: Nickname: Gender: M F Age: Race: Date of Birth: I I Family
More informationMath 116 Practice for Exam 2
Math 116 Practice for Exam Generated October 8, 016 Name: SOLUTIONS Instructor: Section Number: 1. This exam has 6 questions. Note that the problems are not of equal difficulty, so you may want to skip
More informationSTAT 5500/6500 Conditional Logistic Regression for Matched Pairs
STAT 5500/6500 Conditional Logistic Regression for Matched Pairs Motivating Example: The data we will be using comes from a subset of data taken from the Los Angeles Study of the Endometrial Cancer Data
More informationAnalysing longitudinal data when the visit times are informative
Analysing longitudinal data when the visit times are informative Eleanor Pullenayegum, PhD Scientist, Hospital for Sick Children Associate Professor, University of Toronto eleanor.pullenayegum@sickkids.ca
More informationAdaptive Extensions of a Two-Stage Group Sequential Procedure for Testing a Primary and a Secondary Endpoint (II): Sample Size Re-estimation
Research Article Received XXXX (www.interscience.wiley.com) DOI: 10.100/sim.0000 Adaptive Extensions of a Two-Stage Group Sequential Procedure for Testing a Primary and a Secondary Endpoint (II): Sample
More informationInstrumental variables estimation in the Cox Proportional Hazard regression model
Instrumental variables estimation in the Cox Proportional Hazard regression model James O Malley, Ph.D. Department of Biomedical Data Science The Dartmouth Institute for Health Policy and Clinical Practice
More informationEUROPEAN JOURNAL OF PHYSICAL AND REHABILITATION MEDICINE. An abridged version of the Cochrane review of exercise therapy for chronic fatigue syndrome
EUROPEAN JOURNAL OF PHYSICAL AND REHABILITATION MEDICINE EDIZIONI MINERVA MEDICA T PDF. A. T j. A C L LARUN J ODGAARD-JENSEN J R PRICE Kj G BRURBERG E J P R M S 6 [E ] EUROPEAN JOURNAL OF PHYSICAL AND
More informationMetal Artifact Reduction with DECT
Metal Artifact Reduction with DECT Daniele Marin, MD Duke University Medical Center Metal artifacts Common clinical problem ( 20%) Boas EF et al. Radiology 2011 Beam Hardening Edge Effects Scatter Metal
More informationIncorporating published univariable associations in diagnostic and prognostic modeling
Incorporating published univariable associations in diagnostic and prognostic modeling Thomas Debray Julius Center for Health Sciences and Primary Care University Medical Center Utrecht The Netherlands
More informationUNIPORTAL VATS COMPLEX ANATOMIC SEGMENTECTOMY
UNIPORTAL VATS COMPLEX ANATOMIC SEGMENTECTOMY Diego Gonzalez Rivas, MD, FETCS Shanghai Pulmonary Hospital, Tongji University, China Coruña University Hospital and Minimally Invasive Thoracic surgery Unit
More informationMethod of Enzyme Assay
Method of Enzyme Assay Objective To study the different methods for determining enzyme activity. Enzyme assays: Are laboratory methods for measuring enzymatic activity. All enzyme assays measure either
More informationCIC Edizioni Internazionali. review
G Chir Vol. 39 - n. 3 - pp. 123-142 May-June 2018 Comparison of outcomes following intersphincteric resection vs low anterior resection for low rectal cancer: a systematic review P. URSI 1, A. SANTORO
More informationWeighted MCID: Estimation and Statistical Inference
Weighted MCID: Estimation and Statistical Inference Jiwei Zhao, PhD Department of Biostatistics SUNY Buffalo JSM 2018 Vancouver, Canada July 28 August 2, 2018 Joint Work with Zehua Zhou and Leslie Bisson
More informationChemical Incidents. How to manage them before they become an accident?
Chemical Incidents How to manage them before they become an accident? 13 th APRIL 2017 One accident => Potential risks 1. Human chemical contamination 2. Chemical spill on the floor Which chemical? Often
More informationIsotope Production for Nuclear Medicine
Isotope Production for Nuclear Medicine Eva Birnbaum Isotope Program Manager February 26 th, 2016 LA-UR-16-21119 Isotopes for Nuclear Medicine More than 20 million nuclear medicine procedures are performed
More informationDistributed online optimization over jointly connected digraphs
Distributed online optimization over jointly connected digraphs David Mateos-Núñez Jorge Cortés University of California, San Diego {dmateosn,cortes}@ucsd.edu Southern California Optimization Day UC San
More informationy f(a) = f (a) (x a) y = f (a)(x a) + f(a) We now give the tangent line a new name: the linearization of f at a and we call it L(x):
Name: Section: Names of collaborators: Main Points: 1. Linear Approximation 2. Differentials 1. Linear Approximation We have learned how to find the tangent line to a curve at a specific point. If the
More informationDVD Emergency management
Learning Material for DNB Candidates on s available with National Board of Examinations ( updated as on 11.10.2007) (Please place your order immediately on the format given herewith) Trauma assessment
More informationPractice problems from chapters 2 and 3
Practice problems from chapters and 3 Question-1. For each of the following variables, indicate whether it is quantitative or qualitative and specify which of the four levels of measurement (nominal, ordinal,
More informationMath 116 Practice for Exam 2
Math 116 Practice for Exam 2 Generated October 28, 2016 Name: Instructor: Section Number: 1. This exam has 6 questions. Note that the problems are not of equal difficulty, so you may want to skip over
More informationStandardization methods have been used in epidemiology. Marginal Structural Models as a Tool for Standardization ORIGINAL ARTICLE
ORIGINAL ARTICLE Marginal Structural Models as a Tool for Standardization Tosiya Sato and Yutaka Matsuyama Abstract: In this article, we show the general relation between standardization methods and marginal
More informationChapter 2: Describing Contingency Tables - I
: Describing Contingency Tables - I Dipankar Bandyopadhyay Department of Biostatistics, Virginia Commonwealth University BIOS 625: Categorical Data & GLM [Acknowledgements to Tim Hanson and Haitao Chu]
More informationThe Shear Factor in Decubitus Ulcer Development (RESNA Workshop, 2013) J. Martin Carlson
The Shear Factor in Decubitus Ulcer Development (RESNA Workshop, 2013) J. Martin Carlson This presentation is designed for clinicians. Engineers and research people will notice some sins of omission, necessary
More informationKIVI 9 Oct 2015 Fysische Beeldtechnieken 18 feb
1 2 3 Dutch Isotopes Valley Stable Isotopes 4 Patient-hospital: how to recognize the disorder? How to find a targeting molecule? How to make new radionuclides? How to combine? How to test stability? How
More informationCore Courses for Students Who Enrolled Prior to Fall 2018
Biostatistics and Applied Data Analysis Students must take one of the following two sequences: Sequence 1 Biostatistics and Data Analysis I (PHP 2507) This course, the first in a year long, two-course
More informationStuart R. Lipsitz Brigham and Women s Hospital, Boston, MA, U.S.A. Garrett M. Fitzmaurice Harvard Medical School, Boston, MA, U.S.A.
One-Step Generalized Estimating Equations in complex surveys with large cluster sizes with application to the United State s Nationwide Inpatient Sample Stuart R. Lipsitz Brigham and Women s Hospital,
More informationUsing Post Outcome Measurement Information in Censoring by Death Problems
Using Post Outcome Measurement Information in Censoring by Death Problems Fan Yang University of Chicago, Chicago, USA. Dylan S. Small University of Pennsylvania, Philadelphia, USA. Summary. Many clinical
More informationThree-group ROC predictive analysis for ordinal outcomes
Three-group ROC predictive analysis for ordinal outcomes Tahani Coolen-Maturi Durham University Business School Durham University, UK tahani.maturi@durham.ac.uk June 26, 2016 Abstract Measuring the accuracy
More informationOptimal Treatment Regimes for Survival Endpoints from a Classification Perspective. Anastasios (Butch) Tsiatis and Xiaofei Bai
Optimal Treatment Regimes for Survival Endpoints from a Classification Perspective Anastasios (Butch) Tsiatis and Xiaofei Bai Department of Statistics North Carolina State University 1/35 Optimal Treatment
More informationEngineering Risk Benefit Analysis
Engineering Risk Benefit Analysis 1.155, 2.943, 3.577, 6.938, 10.816, 13.621, 16.862, 22.82, ESD.72, ESD.721 RPRA 3. Probability Distributions in RPRA George E. Apostolakis Massachusetts Institute of Technology
More informationState of the Body Evaluation on the Basis of Principle of Critical Energy
State of the Body Evaluation on the Basis of Principle of Critical Energy GEORGE JINESCU 1 *, VALERIU V. JINESCU 2 1 Bucharest Emergency Hospital, 8 Calea Floreasca, 014461, Bucharest, Romania 2 Politehnica
More informationDEPARTMENT OF SURGERY
DEPARTMENT OF SURGERY Sl.No. Classification of Beds/Hospital or 1 Allis & Other Organ & Tissue Grasping Forceps E E E E 2 Amputation Files E E E E 3 Amputation Saw E E E E 4 Amputation Stump Retractors
More informationDealing with natural disasters
Ophthalmology news - OPHTHALMOLOGY BUSINESS - Dealing with natural disasters FEBRUARY 2018 OPHTHALMOLOGY BUSINESS Dealing with natural disasters by Vanessa Caceres EyeWorld Contributing Writer Ophthalmologists
More informationSupporting Information
Supporting Information Zinsstag et al. 10.1073/pnas.0904740106 Fig. S1. Sensitivity plots of model parameters show effects of parameter variability over a reasonable range of uncertainty on (a) transmission
More informationINVESTIGATION OF SKIN BURNS BASING ON ACTIVE THERMOGRAPHY
1 of 4 INVESTIGATION OF SKIN BURNS BASING ON ACTIVE THERMOGRAPHY M. Kaczmarek 1 ; A. Nowakowski 1 ; A. Renkielska 2 ; J. Grudziński 2, W. Stojek 3 1 Department of Medical and Ecological Electronics, Technical
More informationTHE ASTROLOGY OF COLON DISORDERS. analyzing severity and duration of illness. a lecture by DIANE L. CRAMER
THE ASTROLOGY OF COLON DISORDERS analyzing severity and duration of illness a lecture by DIANE L. CRAMER THE ASTROLOGY OF COLON DISORDERS analyzing severity and duration of illness an Original Article
More informationCHL 5225 H Crossover Trials. CHL 5225 H Crossover Trials
CHL 55 H Crossover Trials The Two-sequence, Two-Treatment, Two-period Crossover Trial Definition A trial in which patients are randomly allocated to one of two sequences of treatments (either 1 then, or
More informationSrdan Verstovsek, MD, PhD Professor, Department of Leukemia, The University of Texas MD Anderson Cancer Center
Efficacy and Safety of Pegylated Interferon Alpha- 2a in Patients with Essential Thrombocythemia (ET) and Polycythemia vera (PV): Results after a Median 7-year Follow-up of a Phase 2 Study Srdan Verstovsek,
More informationAnalysis of Longitudinal Data. Patrick J. Heagerty PhD Department of Biostatistics University of Washington
Analysis of Longitudinal Data Patrick J Heagerty PhD Department of Biostatistics University of Washington Auckland 8 Session One Outline Examples of longitudinal data Scientific motivation Opportunities
More informationDownloaded from journal.bums.ac.ir at 20:18 IRDT on Saturday May 12th 2018 ) *+
D 1388 $ #!" 4 3 2 1 %&' '!" #!" ) *+ &' % $ # "!. D : " #34 ( 7.+ 6 5. D -%. /, 01 234 # #)*.+, ( #)*.+ D -%. " #49 :" #4 3* 8 "! 220) D "B %9 C ($ 420 3* /1388, $ =>*-34 #34 ; : D. -25 %MF N4. L #'I"9J
More informationRevision checklist. Step Learning outcome Had a look Nearly there Nailed it!
Radioactivity a Atomic models Describe the structure of an atom (in terms of nucleus and electrons). State where most of the mass of an atom is found. State the sizes of atoms and small molecules. Describe
More informationCfE Higher Mathematics Course Materials Topic 2: Vectors
SCHOLAR Study Guide CfE Higher Mathematics Course Materials Topic : Vectors Authored by: Margaret Ferguson Reviewed by: Jillian Hornby Previously authored by: Jane S Paterson Dorothy A Watson Heriot-Watt
More informationPh.D. course: Regression models. Introduction. 19 April 2012
Ph.D. course: Regression models Introduction PKA & LTS Sect. 1.1, 1.2, 1.4 19 April 2012 www.biostat.ku.dk/~pka/regrmodels12 Per Kragh Andersen 1 Regression models The distribution of one outcome variable
More informationNACC Uniform Data Set (UDS) FTLD Module
NACC Uniform Data Set (UDS) FTLD Module Data Template For Initial Visit Packet Version 2.0, January 2012 Copyright 2013 University of Washington Created and published by the FTLD work group of the ADC
More informationTest Strategies for Experiments with a Binary Response and Single Stress Factor Best Practice
Test Strategies for Experiments with a Binary Response and Single Stress Factor Best Practice Authored by: Sarah Burke, PhD Lenny Truett, PhD 15 June 2017 The goal of the STAT COE is to assist in developing
More informationMY JOURNEY TO UNIPORTAL VATS
MY JOURNEY TO UNIPORTAL VATS Diego Gonzalez-Rivas, MD, FECTS Thoracic Surgery and Lung Transplantation Department Minimally Invasive Thoracic Surgery Unit (UCTMI),Coruña, Spain Shanghai Pulmonary Hospital,
More informationRician Noise Removal in Diffusion Tensor MRI
Rician Noise Removal in Diffusion Tensor MRI Saurav Basu, Thomas Fletcher, and Ross Whitaker University of Utah, School of Computing, Salt Lake City, UT 84112, USA Abstract. Rician noise introduces a bias
More informationConstrained Maximum Likelihood Estimation for Model Calibration Using Summary-level Information from External Big Data Sources
Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-level Information from External Big Data Sources Yi-Hau Chen Institute of Statistical Science, Academia Sinica Joint with Nilanjan
More informationPh.D. course: Regression models. Regression models. Explanatory variables. Example 1.1: Body mass index and vitamin D status
Ph.D. course: Regression models Introduction PKA & LTS Sect. 1.1, 1.2, 1.4 25 April 2013 www.biostat.ku.dk/~pka/regrmodels13 Per Kragh Andersen Regression models The distribution of one outcome variable
More informationRater agreement - ordinal ratings. Karl Bang Christensen Dept. of Biostatistics, Univ. of Copenhagen NORDSTAT,
Rater agreement - ordinal ratings Karl Bang Christensen Dept. of Biostatistics, Univ. of Copenhagen NORDSTAT, 2012 http://biostat.ku.dk/~kach/ 1 Rater agreement - ordinal ratings Methods for analyzing
More informationAmbulatory Surgery Center Fee Schedule
Ambulatory Surgery Center Fee Schedule Effective 01-01-09 The procedure codes and fee schedule amounts in this document do not necessarily indicate coverage or payment. All coverage and payments are subject
More information