FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387477673> ?p ?o ?g. }

• W4387477673 abstract "Compression ultrasonography of the leg is established for triaging proximal lower extremity deep venous thrombosis (DVT). AutoDVT, a machine-learning software, provides a tool for non-specialists in acquiring compression sequences to be reviewed by an expert for patient triage. The purpose of this study was to test image acquisition and remote triaging in a clinical setting.Patients with a suspected DVT were recruited at two centers in Germany and Greece. Enrolled patients underwent an AI-guided two-point compression examination by a non-specialist using a handheld ultrasound device prior to a standard scan. Images collected by the software were uploaded for blind review by five qualified physicians. All reviewers rated the quality of all sequences on the ACEP image quality scale (score 1-5, ≥ 3 defined as adequate imaging quality) and for an ACEP score ≥ 3, chose Compressible, Incompressible, or Other. Sensitivity and specificity were calculated for adequate quality scans with an assessment as Compressible or Incompressible. We define this group as diagnostic quality. To simulate a triaging clinical algorithm, a post hoc analysis was performed merging the incosmplete, the low quality and the Incompressible into a high risk group for proximal DVT.73 patients (Average age 64.2 years, 44% females) were eligible for inclusion and scanned by 3 non-ultrasound-qualified healthcare professionals. Three patients were excluded from further analysis due to incomplete scans. 62/70 (88.57%) of the completed scans were judged to be of adequate image quality with an average ACEP score of 3.35.47/62 adequate AutoDVT scans were assessed as diagnostic quality, of which 8 were interpreted as positive for proximal DVT by the reviewers resulting in a sensitivity of 100% and specificity of 95.12%. When simulating a triaging algorithm, 34/73 (46.58%) of patients would be triaged as high risk and 8 would be confirmed as positive for proximal DVT (6 in the diagnostic and 2 in the low quality cohort). Of 39/73 patients triaged as low risk, all were negative for proximal DVT in standard duplex, thus this triaging algorithm could potentially save 53.42% of standard duplex scans.Machine learning software was able to aid non-experts in acquiring valid ultrasound images of venous compressions and allowed remote triaging. This strategy allows faster diagnosis and treatment of high-risk patients and can spare the need for multiple unnecessary duplex scans, the vast majority being negative." @default.
• W4387477673 created "2023-10-11" @default.
• W4387477673 creator A5006446074 @default.
• W4387477673 creator A5021911875 @default.
• W4387477673 creator A5037603396 @default.
• W4387477673 creator A5039028118 @default.
• W4387477673 creator A5062838283 @default.
• W4387477673 creator A5064317922 @default.
• W4387477673 creator A5073880609 @default.
• W4387477673 creator A5078127596 @default.
• W4387477673 creator A5079408990 @default.
• W4387477673 creator A5093033159 @default.
• W4387477673 date "2023-10-01" @default.
• W4387477673 modified "2023-10-14" @default.
• W4387477673 title "Remote expert DVT triaging of novice-user compression sonography with AI-guidance" @default.
• W4387477673 cites W1597337165 @default.
• W4387477673 cites W1895702511 @default.
• W4387477673 cites W2160890964 @default.
• W4387477673 cites W2781805349 @default.
• W4387477673 cites W2784219648 @default.
• W4387477673 cites W2966293724 @default.
• W4387477673 cites W3092003221 @default.
• W4387477673 cites W3127623340 @default.
• W4387477673 cites W3132346797 @default.
• W4387477673 cites W3198181184 @default.
• W4387477673 cites W3200084086 @default.
• W4387477673 doi "https://doi.org/10.1016/j.avsg.2023.08.022" @default.
• W4387477673 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37820986" @default.
• W4387477673 hasPublicationYear "2023" @default.
• W4387477673 type Work @default.
• W4387477673 citedByCount "0" @default.
• W4387477673 crossrefType "journal-article" @default.
• W4387477673 hasAuthorship W4387477673A5006446074 @default.
• W4387477673 hasAuthorship W4387477673A5021911875 @default.
• W4387477673 hasAuthorship W4387477673A5037603396 @default.
• W4387477673 hasAuthorship W4387477673A5039028118 @default.
• W4387477673 hasAuthorship W4387477673A5062838283 @default.
• W4387477673 hasAuthorship W4387477673A5064317922 @default.
• W4387477673 hasAuthorship W4387477673A5073880609 @default.
• W4387477673 hasAuthorship W4387477673A5078127596 @default.
• W4387477673 hasAuthorship W4387477673A5079408990 @default.
• W4387477673 hasAuthorship W4387477673A5093033159 @default.
• W4387477673 hasConcept C115961682 @default.
• W4387477673 hasConcept C126838900 @default.
• W4387477673 hasConcept C154945302 @default.
• W4387477673 hasConcept C162324750 @default.
• W4387477673 hasConcept C176217482 @default.
• W4387477673 hasConcept C194828623 @default.
• W4387477673 hasConcept C21547014 @default.
• W4387477673 hasConcept C2777120189 @default.
• W4387477673 hasConcept C2779346075 @default.
• W4387477673 hasConcept C41008148 @default.
• W4387477673 hasConcept C55020928 @default.
• W4387477673 hasConcept C71924100 @default.
• W4387477673 hasConceptScore W4387477673C115961682 @default.
• W4387477673 hasConceptScore W4387477673C126838900 @default.
• W4387477673 hasConceptScore W4387477673C154945302 @default.
• W4387477673 hasConceptScore W4387477673C162324750 @default.
• W4387477673 hasConceptScore W4387477673C176217482 @default.
• W4387477673 hasConceptScore W4387477673C194828623 @default.
• W4387477673 hasConceptScore W4387477673C21547014 @default.
• W4387477673 hasConceptScore W4387477673C2777120189 @default.
• W4387477673 hasConceptScore W4387477673C2779346075 @default.
• W4387477673 hasConceptScore W4387477673C41008148 @default.
• W4387477673 hasConceptScore W4387477673C55020928 @default.
• W4387477673 hasConceptScore W4387477673C71924100 @default.
• W4387477673 hasLocation W43874776731 @default.
• W4387477673 hasLocation W43874776732 @default.
• W4387477673 hasOpenAccess W4387477673 @default.
• W4387477673 hasPrimaryLocation W43874776731 @default.
• W4387477673 hasRelatedWork W2043597472 @default.
• W4387477673 hasRelatedWork W2061912243 @default.
• W4387477673 hasRelatedWork W2104070163 @default.
• W4387477673 hasRelatedWork W2295706819 @default.
• W4387477673 hasRelatedWork W2552902349 @default.
• W4387477673 hasRelatedWork W2782916784 @default.
• W4387477673 hasRelatedWork W3194862240 @default.
• W4387477673 hasRelatedWork W4206325381 @default.
• W4387477673 hasRelatedWork W4226186675 @default.
• W4387477673 hasRelatedWork W54224318 @default.
• W4387477673 isParatext "false" @default.
• W4387477673 isRetracted "false" @default.
• W4387477673 workType "article" @default.