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Előadáskivonatok / Abstracts


             Introduction:  Type  2  diabetes  mellitus  (T2DM)  has  an   Aims: Our aim was to prospectively evaluate the precision
             increased prevalence in chronic hepatitis C (CHC) patients.   of  our  recently  developed  Polypbrain®  software  and  to
             Presence  of  T2DM  is  known  as  a  risk  factor  for  severe   compare  final  histology  and  real-time  optical  diagnosis  of
             complications such as high-grade fibrosis, liver cirrhosis and   subcentimetric polyps in our everyday colonoscopy practice.
             failure,  hepatocellular  carcinoma  (HCC)  and  liver  related   Methods:  Polypbrain®  is  an  AI-DSS  using  deep  learning
             mortality  in  CHC  patients,  but  slight  Hungarian  data  are   neural  network  trained  on  our  anonymous  electronic
             available.                                       database from a total of 1800 histologically identified sub-
             Aims: To compare the frequency of severe fibrosis, cirrhosis,   centimetric  colorectal  polyps  and  26000  HD,  electronic
             liver  failure,  HCC,  and  liver-related  mortality  in  our  non-  chromo-endoscopic images(malignant,juvenile,inflammatory
             diabetic  and  diabetic  CHC  genotype  1  patients  using  a   and sessile serrated polyps were excluded).For this on-going
             rigorous match-pared analysis method.            prospective  study,  in  every consecutive  patients  with  5-10
             Methods:  In  the first  round we  verified  408  CHC  patients   mm  polyp,  HD  images  were  captured  and  histological
             (178 male, M/ 230 female, F; all HCV genotype 1) from 2006-  diagnosis   prediction(probability   of   hyperplasia   or
             2019. We followed these subjects from the first detection of   adenoma,LGD/HGD)was  done  real-time  with  Polypbrain®
             HCV  infection.  Each  of  them  was  tested  by  fasting  and   during  colonoscopy.All  polyps  were  removed  and
             postprandial  serum  glucose  values  and  oral  glucose   finally,results were compared to histological diagnosis.
             tolerance test for T2DM; under 40 years we did not found   Results:   16    HD-BLI         polyp
             diabetic  patients.  From  the  rest  of  302  CHC  patients  we   images(hyperplastic/adenoma:4/12  (dysplasia  LG/HG:8/4)
             found 124 male and 124 female subjects without significant   of  16  patients  (male/female:11/5,  mean  age:  58.98  years)
             differences  in  demographic  parameters.  In  our  matched-  were included into this preliminary analysis. Mean count of
             paired study these males and females were randomized in   subimages from each polyps were 160.31(5-452). Feasibility
             two groups, the only difference was the presence or lack of   of  the  predicted  diagnosis  was  96.48%  for  all
             T2DM. Fibrosis stages were evaluated with liver biopsies or   polyps(adenoma:   96.42%,   hyperplasia:   95.65%).
             Fibroscan method. Liver failure was diagnosed by laboratory   Confidence in categorizing adenomas according to dysplasia
             data  and  clinical  symptoms.  HCC  was  diagnosed  by   grade  was  69.94%  and  69.69%  in  LGD  and  HGD  group.
             ultrasonography and/or other imaging diagnostic tools and   Concordance  between  predicted  and  final  histological
             confirmed by histology. Mortality data also were registered.    diagnosis for hyperplasia or adenoma was 93.75%.
             Results:  In  diabetic  vs.  non-diabetic  comparison,  severe   Conclusion  :Polypbrain®  could  provide  a  highly  accurate
             fibrosis stage (≥F3, Ʃ=142) was detected in 65% vs. 35%   tool for real-time optical diagnosis of polyps and to predict
             (p<0.001);  the  cirrhosis  rate  (Ʃ  =142)  was  69%  vs.  31%   HGD. AI-DSS could not only support resect&discard strategy
             (p<0.001).  HCC  rate  (Ʃ=18) was  78%  vs.  22%  (p=0.014).   but might improve efficacy of endoscopic therapy to reduce
             The frequency of severe liver insufficiency (Ʃ= 44) was 89%   polyp recurrence.
             vs. 11% (p<0.001), while the mortality rate (Ʃ =28) 90% vs.
             10%  (p<0.0001).The  relative  risk  (RR)  of  severe  fibrosis,   89.   NEOPLASZTIKUS   ÉS   NEM-NEOPLASZTIKUS
             cirrhosis, HCC, liver insufficiency and death was 1.85, 2.26,   POLYPOK  VALÓS  IDEJŰ  OPTIKAI  DIAGNÓZISA
             3.5,  7.8  and  8.33  in  diabetic  vs.  non-diabetic  patients,   VASTAGBÉLTÜKRÖZÉS   SORÁN   MESTERSÉGES
             respectively. The strongest liver-related mortality factor was   INTELLIGENCIA   ALAPÚ   DÖNTÉSTÁMOGATÓ
             the presence of HCC.                             RENDSZER (POLYPBRAIN®) SEGÍTSÉGÉVEL
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             Conclusion:  Diabetic  patients  had  more  serious  liver   Lovász B. , Szalai M. , Zsobrák K. , Finta Á. , Oczella L. ,
                                                                        3
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             fibrosis, higher rate of cirrhosis, HCC, liver insufficiency and   Dubravcsik Z. , Madácsy L.
             mortality than non-diabetic subjects in this matched-paired   1.  Semmelweis  Egyetem,  Belgyógyászati  és  Onkológiai
             analysis. Our data suggest that occurrence of diabetes is a   Klinika,  Budapest;  2.  Semmelweis  Egyetem,  ETK,
             strong  negative  predictive  factor  in  the  HCV-related  liver   Egészségtudományi  Klinikai  Tanszék,  Budapest;  3.  Bács-
             diseases  and  requires  a  close  surveillance  even  after   Kiskun  Megyei  Kórház,  Kecskemét;  4.  Endo-Kapszula
             successful antiviral treatment.                  Magánorvosi Centrum, Székesfehérvár

             88.  PROSPECTIVE  REAL-LIFE  PREDICTION  OF  FINAL   Bevezetés: A neoplasztikus és nem-neoplasztikus polypok
             HISTOLOGY AND REAL-TIME OPTICAL DIAGNOSIS OF     elkülönítése   különösen   fontos   a   colorectalis   rák
             NEOPLASTIC AND NON-NEOPLASTIC POLYPS DURING      mortalitásának  csökkentése  céljából.  Az  új  mesterséges
             COLONOSCOPY      USING   A    NEW    ARTIFICIAL   intelligencia   alapú   döntéstámogató   számítógépes
             INTELLIGENCE    DECISION    SUPPORT    SYSTEM    rendszerek  segíthetnek  a  „vedd  le  és  dobd  el”  stratégia
             (POLYPBRAIN®)                                    kivitelezésében.
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             Lovász B. , Szalai M. , Zsobrák K. , Finta Á. , Oczella L. ,   Célkitűzés: A célunk az általunk a közelmúltban fejlesztett
                                                          4
                     1,2
             Dubravcsik Z. , Madácsy L.                       Polybrain® program kipróbálása volt a  polypok valós-idejű
                        3
                                  4
             1.  Department  of  Internal  Medicine  and  Oncology,   diagnosztikájában  vastagbéltükrözés  során  polypectomián
             Semmelweis  University,  Budapest;  2.  Institute  of  Applied   átesett egymást követő ambuláns betegekben.
             Health  Sciences,  Semmelweis  University,  Budapest,   Módszerek:  A  Polypbrain®  egy  mesterséges  intelligencia
             Hungary;  3.  Bács  Kiskun  County  Teaching  Hospital   alapú, mélytanuló neurális hálót használó program, melyet a
             University  of  Szeged,  Kecskemét;  4.  Endo-Kapszula   saját anoním, 1800 szövettanilag diagnosztizált colorectalis
             Endoscopy Unit, Székesfehérvár                   polypról  készült  26000  HD  chromoendoszkópiával  készült
                                                              képet    tartalmazó,   elektronikus   adatbázisunk
             Introduction:   Precise   differentiation   between   non-  felhasználásával   tanítottunk   (malignus,   juvenilis,
             neoplastic  and  neoplastic  polyps  with  high/low-grade   gyulladásos és serrated polypok nem szerepeltek benne). A
             dysplasia  is  important  to  assist  optimal  endoscopic   jelenleg is zajló vizsgálatban vastagbéltükrözés során talált
             therapy.New  artificial  intelligence-based  decision  support   5-10  mm-es  polypokról  készült  polyp  képek  valós  idejű
             systems(AI-DSS)  can  help  to  support  resect&discard   szövettani  diagnózisát  végeztük  (a  program  hyperplasia,
             strategy.                                        adenoma   elkülönítését,   low/high   grade   dysplasia
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       66    Central European Journal of Gastroenterology and Hepatology
             Volume 6, Supplementum 2 / November 2020
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