Simple area-based measurement for multidetector computed tomography to predict left ventricular size.
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| Title: | Simple area-based measurement for multidetector computed tomography to predict left ventricular size. |
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| Authors: | Schlett CL (AUTHOR), Kwait DC (AUTHOR), Mahabadi AA (AUTHOR), Bamberg F (AUTHOR), O'Donnell CJ (AUTHOR), Fox CS (AUTHOR), Hoffmann U (AUTHOR), Schlett, Christopher L1 (AUTHOR), Kwait, Dylan C (AUTHOR), Mahabadi, Amir A (AUTHOR), Bamberg, Fabian (AUTHOR), O'Donnell, Christopher J (AUTHOR), Fox, Caroline S (AUTHOR), Hoffmann, Udo (AUTHOR) |
| Source: | European Radiology. Jul2010, Vol. 20 Issue 7, p1590-1596. 7p. |
| Abstract: | |
| Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 105025217 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Simple area-based measurement for multidetector computed tomography to predict left ventricular size. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Schlett+CL%22">Schlett CL</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kwait+DC%22">Kwait DC</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mahabadi+AA%22">Mahabadi AA</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bamberg+F%22">Bamberg F</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22O'Donnell+CJ%22">O'Donnell CJ</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fox+CS%22">Fox CS</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hoffmann+U%22">Hoffmann U</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schlett%2C+Christopher+L%22">Schlett, Christopher L</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kwait%2C+Dylan+C%22">Kwait, Dylan C</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mahabadi%2C+Amir+A%22">Mahabadi, Amir A</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bamberg%2C+Fabian%22">Bamberg, Fabian</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22O'Donnell%2C+Christopher+J%22">O'Donnell, Christopher J</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fox%2C+Caroline+S%22">Fox, Caroline S</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hoffmann%2C+Udo%22">Hoffmann, Udo</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Jul2010, Vol. 20 Issue 7, p1590-1596. 7p. – Name: Abstract Label: Abstract Group: Ab Data: <bold>Objective: </bold>Measures of left ventricular (LV) mass and dimensions are independent predictors of morbidity and mortality. We determined whether an axial area-based method by computed tomography (CT) provides an accurate estimate of LV mass and volume.<bold>Method: </bold>A total of 45 subjects (49% female, 56.0 +/- 12 years) with a wide range of LV geometry underwent contrast-enhanced 64-slice CT. LV mass and volume were derived from 3D data. 2D images were analysed to determine LV area, the direct transverse cardiac diameter (dTCD) and the cardiothoracic ratio (CTR). Furthermore, feasibility was confirmed in 100 Framingham Offspring Cohort subjects.<bold>Results: </bold>2D measures of LV area, dTCD and CTR were 47.3 +/- 8 cm(2), 14.7 +/- 1.5 cm and 0.54 +/- 0.05, respectively. 3D-derived LV volume (end-diastolic) and mass were 148.9 +/- 45 cm(3) and 124.2 +/- 34 g, respectively. Excellent inter- and intra-observer agreement were shown for 2D LV area measurements (both intraclass correlation coefficients (ICC) = 0.99, p < 0.0001) and could be confirmed on non-contrast CT. The measured 2D LV area was highly correlated to LV volume, mass and size (r = 0.68; r = 0.73; r = 0.82; all p < 0.0001, respectively). On the other hand, CTR was not correlated to LV volume, mass, size or 2D LV area (all p > 0.27).<bold>Conclusion: </bold>Compared with traditionally used CTR, LV size can be accurately predicted based on a simple and highly reproducible axial LV area-based measurement. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00330-010-1720-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 1590 Titles: – TitleFull: Simple area-based measurement for multidetector computed tomography to predict left ventricular size. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Schlett CL – PersonEntity: Name: NameFull: Kwait DC – PersonEntity: Name: NameFull: Mahabadi AA – PersonEntity: Name: NameFull: Bamberg F – PersonEntity: Name: NameFull: O'Donnell CJ – PersonEntity: Name: NameFull: Fox CS – PersonEntity: Name: NameFull: Hoffmann U – PersonEntity: Name: NameFull: Schlett, Christopher L – PersonEntity: Name: NameFull: Kwait, Dylan C – PersonEntity: Name: NameFull: Mahabadi, Amir A – PersonEntity: Name: NameFull: Bamberg, Fabian – PersonEntity: Name: NameFull: O'Donnell, Christopher J – PersonEntity: Name: NameFull: Fox, Caroline S – PersonEntity: Name: NameFull: Hoffmann, Udo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 09387994 Numbering: – Type: volume Value: 20 – Type: issue Value: 7 Titles: – TitleFull: European Radiology Type: main |
| ResultId | 1 |