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Two-dimensional shear wave elastography predicts survival in advanced chronic liver disease.

Jonel TrebickaWenyi GuVictor de LedinghenChristophe AubéAleksander KragMichael PraktiknjoLaurent CasteraJerome DumortierDavid Josef Maria BauerMireen Friedrich-RustStanislas PolIvica GrgurevicRongqin ZhengSven M FrancqueHalima GottfriedovàSanda MustapicIoan SporeaAnnalisa BerzigottiFrank Erhard UschnerBenedikt SimbrunnerMaxime RonotChristophe CassinottoMaria KjaergaardFilipe AndradeMartin SchulzGeorg SemmlerIda Tjesic DrinkovicJohannes ChangMaximilian Joseph BrolPierre Emmanuel RautouThomas VanwolleghemChristian P StrassburgJérôme BoursierPhilip Georg FerstlDitlev Nytoft RasmussenThomas ReibergerValerie VilgrainAymeric GuibalOlivier GuillaudStefan ZeuzemCamille VassordXue LuLuisa VonghiaRenata SenkerikovaAlina PopescuCristina MarginiWenping WangMaja Sofie ThieleChrisitan Jansen
Published in: Gut (2021)
The M10LS20 algorithm allows risk stratification of patients with ACLD. Patients with L-SWE ≥20 kPa and MELD ≥10 should be followed closely and receive intensified care, while patients with low risk may be managed at longer intervals.
Keyphrases
  • healthcare
  • palliative care
  • machine learning
  • quality improvement
  • deep learning
  • pain management
  • neural network