FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1978305280> ?p ?o ?g. }

• W1978305280 endingPage "1312" @default.
• W1978305280 startingPage "1306" @default.
• W1978305280 abstract "ObjectivesTo validate the use of a novel mathematical algorithm applied to digital imaging and communication in medicine (DICOM) computed tomography (CT) data to automate the generation of complex endovascular graft planning.MethodsAn algorithm was developed enabling the creation of patient-specific mathematical model based upon DICOM CT data to allow for detailed efficient geometric analysis with repeatable results. This algorithm was applied to high resolution DICOM CT datasets of 15 patients, selected at random from 350 patients with aneurysms involving the visceral arteries. The longitudinal and rotational relationships of the visceral vessels were determined by the algorithm. For comparison purposes, the same measurements were acquired manually using centerline of flow software by a blinded investigator. The distance between the renal arteries, and location of the renal origins calculated with each method were then compared.ResultsAutomated results were readily created for all 15 randomly selected patients. The measured versus calculated mean inter-renal artery distances were exceptionally close, differing by a mean of only 1.3 mm with a maximal range of 3.0 mm. The rotational position of the renal origins differed by only 10.5 degrees of arc (21 clock-face minutes) on average and by 32.5 degrees in the worst case.ConclusionsThe generation of an automated mathematical model to represent complex aortic geometry is feasible and reproducible in the context of high-resolution CT data. This process has been validated in 15 patients, where results corresponded with manual measurements that were used to successfully implant customized devices that accommodate the imaged vessels. Additional attributes include the expression of the 3D aorta in a compact form (on the order of kilobytes) for purposes of data storage, transfer, and other manipulations. To validate the use of a novel mathematical algorithm applied to digital imaging and communication in medicine (DICOM) computed tomography (CT) data to automate the generation of complex endovascular graft planning. An algorithm was developed enabling the creation of patient-specific mathematical model based upon DICOM CT data to allow for detailed efficient geometric analysis with repeatable results. This algorithm was applied to high resolution DICOM CT datasets of 15 patients, selected at random from 350 patients with aneurysms involving the visceral arteries. The longitudinal and rotational relationships of the visceral vessels were determined by the algorithm. For comparison purposes, the same measurements were acquired manually using centerline of flow software by a blinded investigator. The distance between the renal arteries, and location of the renal origins calculated with each method were then compared. Automated results were readily created for all 15 randomly selected patients. The measured versus calculated mean inter-renal artery distances were exceptionally close, differing by a mean of only 1.3 mm with a maximal range of 3.0 mm. The rotational position of the renal origins differed by only 10.5 degrees of arc (21 clock-face minutes) on average and by 32.5 degrees in the worst case. The generation of an automated mathematical model to represent complex aortic geometry is feasible and reproducible in the context of high-resolution CT data. This process has been validated in 15 patients, where results corresponded with manual measurements that were used to successfully implant customized devices that accommodate the imaged vessels. Additional attributes include the expression of the 3D aorta in a compact form (on the order of kilobytes) for purposes of data storage, transfer, and other manipulations." @default.
• W1978305280 created "2016-06-24" @default.
• W1978305280 creator A5009093951 @default.
• W1978305280 creator A5065241242 @default.
• W1978305280 creator A5074549097 @default.
• W1978305280 date "2008-06-01" @default.
• W1978305280 modified "2023-10-14" @default.
• W1978305280 title "Mathematical analysis of DICOM CT datasets: Can endograft sizing be automated for complex anatomy?" @default.
• W1978305280 cites W1982631612 @default.
• W1978305280 cites W2026368709 @default.
• W1978305280 cites W2029419155 @default.
• W1978305280 cites W2093617186 @default.
• W1978305280 cites W2134172656 @default.
• W1978305280 cites W2151712273 @default.
• W1978305280 cites W2170915899 @default.
• W1978305280 doi "https://doi.org/10.1016/j.jvs.2007.12.046" @default.
• W1978305280 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18372152" @default.
• W1978305280 hasPublicationYear "2008" @default.
• W1978305280 type Work @default.
• W1978305280 sameAs 1978305280 @default.
• W1978305280 citedByCount "20" @default.
• W1978305280 countsByYear W19783052802012 @default.
• W1978305280 countsByYear W19783052802014 @default.
• W1978305280 countsByYear W19783052802015 @default.
• W1978305280 countsByYear W19783052802017 @default.
• W1978305280 crossrefType "journal-article" @default.
• W1978305280 hasAuthorship W1978305280A5009093951 @default.
• W1978305280 hasAuthorship W1978305280A5065241242 @default.
• W1978305280 hasAuthorship W1978305280A5074549097 @default.
• W1978305280 hasBestOaLocation W19783052801 @default.
• W1978305280 hasConcept C126838900 @default.
• W1978305280 hasConcept C127313418 @default.
• W1978305280 hasConcept C151730666 @default.
• W1978305280 hasConcept C154945302 @default.
• W1978305280 hasConcept C2779343474 @default.
• W1978305280 hasConcept C31972630 @default.
• W1978305280 hasConcept C41008148 @default.
• W1978305280 hasConcept C71924100 @default.
• W1978305280 hasConcept C77331912 @default.
• W1978305280 hasConceptScore W1978305280C126838900 @default.
• W1978305280 hasConceptScore W1978305280C127313418 @default.
• W1978305280 hasConceptScore W1978305280C151730666 @default.
• W1978305280 hasConceptScore W1978305280C154945302 @default.
• W1978305280 hasConceptScore W1978305280C2779343474 @default.
• W1978305280 hasConceptScore W1978305280C31972630 @default.
• W1978305280 hasConceptScore W1978305280C41008148 @default.
• W1978305280 hasConceptScore W1978305280C71924100 @default.
• W1978305280 hasConceptScore W1978305280C77331912 @default.
• W1978305280 hasIssue "6" @default.
• W1978305280 hasLocation W19783052801 @default.
• W1978305280 hasLocation W19783052802 @default.
• W1978305280 hasOpenAccess W1978305280 @default.
• W1978305280 hasPrimaryLocation W19783052801 @default.
• W1978305280 hasRelatedWork W1891287906 @default.
• W1978305280 hasRelatedWork W1969923398 @default.
• W1978305280 hasRelatedWork W2036807459 @default.
• W1978305280 hasRelatedWork W2166024367 @default.
• W1978305280 hasRelatedWork W2229312674 @default.
• W1978305280 hasRelatedWork W2748952813 @default.
• W1978305280 hasRelatedWork W2755342338 @default.
• W1978305280 hasRelatedWork W2772917594 @default.
• W1978305280 hasRelatedWork W2899084033 @default.
• W1978305280 hasRelatedWork W3116076068 @default.
• W1978305280 hasVolume "47" @default.
• W1978305280 isParatext "false" @default.
• W1978305280 isRetracted "false" @default.
• W1978305280 magId "1978305280" @default.
• W1978305280 workType "article" @default.