COMPUT COMPUT E E R AIDE R AIDE D DE D DE T T E E CT CT - - PowerPoint PPT Presentation

▶
comput comput e e r aide r aide d de d de t t e e ct ct
SMART_READER_LITE
LIVE PREVIEW

COMPUT COMPUT E E R AIDE R AIDE D DE D DE T T E E CT CT - - PowerPoint PPT Presentation

Dec 25, 2023 15 likes •198 views

COMPUT COMPUT E E R AIDE R AIDE D DE D DE T T E E CT CT ION OF ION OF PUL PUL MONARY MONARY T UBE RCUL OSIS ON DIGIT AL CHE ST RADIOGRAPHS: A SYST E MAT IC RE VIE W T RI PT I PANDE ADVANCE ADVANCE D T D T B

slide-1
SLIDE 1

COMPUT E R AIDE D DE T E CT ION OF PUL MONARY COMPUT E R AIDE D DE T E CT ION OF PUL MONARY T UBE RCUL OSIS ON DIGIT AL CHE ST RADIOGRAPHS: A SYST E MAT IC RE VIE W

T RI PT I PANDE

ADVANCE D T B DI AGNOST I CS COURSE ADVANCE D T B DI AGNOST I CS COURSE MCGI L L SUMME R I NST I T UT E OF I NF E CT I OUS DI SE ASE S AND GL OBAL HE AL T H JUNE 23RD, 2016

slide-2
SLIDE 2

OUT L I NE

 Che st ra dio g ra phy vs Co mpute r a ide d-  Che st ra dio g ra phy vs Co mpute r a ide d-

de te c tio n

 Study o b je c tive s

Study o b je c tive s

 Me tho ds  Re sults  Ana lysis  F

ina l re ma rks

 F

uture wo rk

slide-3
SLIDE 3

CHE ST RADI OGRAPHY

PROS CONS

Hig hly se nsitive Hig h c o st e q uipme nt Mo de ra te ly spe c ific I nte r- pro fe ssio na l va ria b ility Use ful sc re e ning to o l I ntra - pro fe ssio na l va ria b ility

slide-4
SLIDE 4

COMPUT E R AI DE D DE T E CT I ON

 De finitio n:  De finitio n:

 Auto ma te d syste m whic h q ua ntifie d

va rio us ima g e c ha ra c te ristic s o f c he st ra dio g ra phs ra dio g ra phs

 F

unc tio ns o f CAD:

 Using DXR a nd so ftwa re pro g ra ms to de te c t g p g ra dio g ra phic a b no rma litie s c o mpa tib le with pulmo na ry T B  Ca n e limina te pro b le ms o f de la ys in i t t ti d i t d i b ilit inte rpre ta tio n a nd po o r inte r-re a de r va ria b ility

slide-5
SLIDE 5

PRI MARY AND SE CONDARY OBE CT I VE S

 Prima ry obje c tive : a sse ss the a c c ura c y fo r de te c tio n o f  Prima ry obje c tive : a sse ss the a c c ura c y fo r de te c tio n o f

mic ro b io lo g ic a lly c o nfirme d pulmo na ry T B

 Se c onda ry obje c tive : c o mpa ring CAD dia g no sis to tha t o f c linic a l

ffi di i l T B i h t di h

  • ffic e rs dia g no sing pulmo na ry T

B via c he st ra dio g ra phs

slide-6
SLIDE 6

I NCL USI ON AND E XCL USI ON CRI T E RI A

I nc lusio n

  • E

stima ting dia g no stic E xc lusio n

  • CAD use d fo r dia g no stic

a c c ura c y o f CAD so ftwa re

  • De te c ting pulmo na ry

tub e rc ulo sis (PT B) mo da litie s o the r tha n CXR

  • Did no t use mic ro b io lo g ic a l

re fe re nc e sta nda rd

  • Co mpa ring to a

mic ro b io lo g ic re fe re nc e sta nda rd

  • Studie s invo lving c hildre n
slide-7
SLIDE 7

SE ARCH ST RAT E GY

Pub me d Se a rc h limita tio ns:

  • No la ng ua g e re stric tio n
  • Ja nua ry 1st, 2010 – De c e mb e r 31st,

E mb a se Sc o pus y 2015 Se a rc h te rms:

  • Va lida te d b y me dic a l lib ra ria n

E ng ine e ring villa g e

Va lida te d b y me dic a l lib ra ria n

  • Bro a d se a rc h te rms use d

villa g e

slide-8
SLIDE 8

RE SUL T S

Pa nde , Co he n e t a l. 2016 (a c c e pte d)

slide-9
SLIDE 9

DAT A E XT RACT I ON

Y f b li ti hi Mi b i l i f

 Ye a r o f pub lic a tio n, g e o g ra phic

lo c a tio n

 Study de sig n (re tro spe c tive ,

ti )

 Mic ro b io lo g ic re fe re nc e  Dia g no stic a c c ura c y; se nsitivity,

spe c ific ity, AUC pro spe c tive )

 I

nc lusio n/ e xc lusio n c rite ria

 Me tho d o f g e ne ra ting dig ita l  Studie s c o mpa ring to huma ns:

numb e r o f huma n re a de rs a nd the ir e xpe rie nc e Me tho d o f g e ne ra ting dig ita l ra dio g ra phs

 Na me , ve rsio n a nd me tho d fo r

sc o ring CAD

 Qua lity a ssura nc e : QUADAS 2

sc o ring CAD

slide-10
SLIDE 10

GE NE RAL RE SUL T S

Study Country Study de sig n Mic robiolog ic re fe re nc e sta nda rd

Ma duska re t a l. Za mb ia Re tro spe c tive Sme a r o r c ulture Muyo ye ta e t a l. Za mb ia Pro spe c tive Xpe rt MT B/ RI F Bre uning e r e t a l. T a nza nia Re tro spe c tive Po sitive c ulture re sult Ho g e we g e t a l. E ng la nd So uth Afric a Re tro spe c tive Sme a r o r c ulture Philipse n e t a l. So uth Afric a Pro spe c tive Culture a nd c linic a l c rite ria

Pa nde , Co he n e t a l. 2016 (a c c e pte d)

slide-11
SLIDE 11

ANALYSIS

Pa nde , Co he n e t a l. 2016 (a c c e pte d)

slide-12
SLIDE 12

ANALYSIS - CAD VS HUMAN INTERPRETATION

Olde r ve rsio n (v 1 07) Olde r ve rsio n (v 1 07) Olde r ve rsio n (v. 1.07) pe rfo rme d simila r to c linic a l o ffic e rs Olde r ve rsio n (v. 1.07) pe rfo rme d simila r to c linic a l o ffic e rs Ne we r ve rsio n (v 3 08) Ne we r ve rsio n (v 3 08) Ne we r ve rsio n (v. 3.08) pe rfo rme d simila r to e xpe rt ra dio lo g ists Ne we r ve rsio n (v. 3.08) pe rfo rme d simila r to e xpe rt ra dio lo g ists

  • CAD se t to a c hie ve sa me spe c ific ity a s no n-e xpe rt c linic ia n CAD a c hie ve d

sa me se nsitivity a s o the r no n-e xpe rts

  • T

hre sho ld se t to a c hie ve sa me se nsitivity a s huma n re a de rs  CAD a c hie ve d lo we r spe c ific ity tha n ra dio lo g ist BUT g re a te r tha n c linic a l o ffic e r

slide-13
SLIDE 13

ANALYSIS- QUADAS-2

RISK OF BIAS APPLICABILITY CONCERNS STUDY AUTHORS RISK OF BIAS APPLICABILITY CONCERNS Patient selection Index test Reference standard Flow and timing Patient selection Index test Reference standard Maduskar et al.8 U L L U H H L Breuninger et al.10 H L H H H L H Muyoyeta et al.9 L L L L U U L Hogeweg et al.6 H L U U U U L Philipsen et al.7 L L L L L L L *Legend: L = low, H= high, U= unclear

Pa nde , Co he n e t a l. 2016 (a c c e pte d)

slide-14
SLIDE 14

F I NAL RE MARK S

 I

mpo rta nt po int to re me mb e r: e vide nc e b a se to suppo rt the use o f CAD i it li it d ( 5) CAD is q uite limite d (n=5)

 Hig h se nsitivity thre sho ld  sub sta ntia l fa ll in spe c ific ity (vic e ve rsa )  CAD so ftwa re a c hie ving hig h se nsitivity a nd spe c ific ity wo uld b e  CAD so ftwa re a c hie ving hig h se nsitivity a nd spe c ific ity wo uld b e

ma jo r le a p fo r this te c hno lo g y

 Our syste ma tic re vie w ma inly hig hlig hts;

 Unc e rta inty in the na sc e nt e vide nc e b a se  He lp g uide the dire c tio n fo r future e va lua tive studie s fo r CAD4T B  Ac c e pte d fo r pub lic a tio n in I JT L D (Ma y 2016)  Ac c e pte d fo r pub lic a tio n in I JT L D (Ma y 2016)

slide-15
SLIDE 15

F UT URE WORK

 Study de sig n:  Minimize risk o f b ia s using pro spe c tive de sig ns  Pre -spe c ifie d thre sho ld sc o re s  Mic ro b io lo g ic a lly de fine d c a se de finitio ns  Ge ne ra liza b ility:  Dive rse se tting s a nd po pula tio ns

slide-16
SLIDE 16

WHO-CAD RE VI E W

 I

nc luding unpub lishe d studie s to inc re a se the study da ta b a se

 Re vise d da ta e xtra c tio n fo rm

P f i t l i ll

 Pe rfo rming a me ta -a na lysis a s we ll

slide-17
SLIDE 17

ACK NOWL E DGME NT S

 Co -re se a rc he r:  Cha d Co he n  F

I ND:

 Dr. Cla udia De nking e r  Mc Gill Unive rsity:  Dr F

a iz Ahma d K ha n

 Dr. F

a iz Ahma d K ha n

 Dr. Ma dhuka r Pa i  Na z T

  • ra b i (me dic a l lib ra ria n)

Na z T

  • ra b i (me dic a l lib ra ria n)
slide-18
SLIDE 18

T HANK YOU! T HANK YOU!

QUE ST I ONS?