Literature DB >> 26230908

Myocardial Late Gadolinium Enhancement: Accuracy of T1 Mapping-based Synthetic Inversion-Recovery Imaging.

Akos Varga-Szemes1, Rob J van der Geest1, Bruce S Spottiswoode1, Pal Suranyi1, Balazs Ruzsics1, Carlo N De Cecco1, Giuseppe Muscogiuri1, Paola M Cannaò1, Mary A Fox1, Julian L Wichmann1, Rozemarijn Vliegenthart1, U Joseph Schoepf1.   

Abstract

PURPOSE: To compare the accuracy of detection and quantification of myocardial late gadolinium enhancement (LGE) with a synthetic inversion-recovery (IR) approach with that of conventional IR techniques.
MATERIALS AND METHODS: This prospective study was approved by the institutional review board and compliant with HIPAA. All patients gave written informed consent. Between June and November 2014, 43 patients (25 men; mean age, 54 years ± 16) suspected of having previous myocardial infarction underwent magnetic resonance (MR) imaging, including contrast material-enhanced LGE imaging and T1 mapping. Synthetic magnitude and phase-sensitive IR images were generated on the basis of T1 maps. Images were assessed by two readers. Differences in the per-patient and per-segment LGE detection rates between the synthetic and conventional techniques were analyzed with the McNemar test, and the accuracy of LGE quantification was calculated with the paired t test and Bland-Altman statistics. Interreader agreement for the detection and quantification of LGE was analyzed with κ and Bland-Altman statistics, respectively.
RESULTS: Seventeen of the 43 patients (39%) had LGE patterns consistent with myocardial infarction. The sensitivity and specificity of synthetic magnitude and phase-sensitive IR techniques in the detection of LGE were 90% and 95%, respectively, with patient-based analysis and 94% and 99%, respectively, with segment-based analysis. The area of LGE measured with synthetic IR techniques showed excellent agreement with that of conventional techniques (4.35 cm(2) ± 1.88 and 4.14 cm(2)± 1.62 for synthetic magnitude and phase-sensitive IR, respectively, compared with 4.25 cm(2) ± 1.92 and 4.22 cm(2) ± 1.86 for conventional magnitude and phase-sensitive IR, respectively; P > .05). Interreader agreement was excellent for the detection (κ > 0.81) and quantification (bias range, -0.34 to 0.40; P > .05) of LGE.
CONCLUSION: The accuracy of the T1 map-based synthetic IR approach in the detection and quantification of myocardial LGE in patients with previous myocardial infarction was similar to that of conventional IR techniques. The use of T1 mapping to derive synthetic LGE images may reduce imaging times and operator dependence in future T1 mapping protocols with full left ventricular coverage. © RSNA, 2015.

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Year:  2015        PMID: 26230908     DOI: 10.1148/radiol.2015150162

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  10 in total

1.  Quantitative inversion time prescription for myocardial late gadolinium enhancement using T1-mapping-based synthetic inversion recovery imaging: reducing subjectivity in the estimation of inversion time.

Authors:  Sebastian Gassenmaier; Rob J van der Geest; U Joseph Schoepf; Pal Suranyi; Wolfgang G Rehwald; Carlo N De Cecco; Domenico Mastrodicasa; Moritz H Albrecht; Domenico De Santis; Virginia W Lesslie; Balazs Ruzsics; Akos Varga-Szemes
Journal:  Int J Cardiovasc Imaging       Date:  2018-01-05       Impact factor: 2.357

2.  Effect of inversion time on the precision of myocardial late gadolinium enhancement quantification evaluated with synthetic inversion recovery MR imaging.

Authors:  Akos Varga-Szemes; Rob J van der Geest; U Joseph Schoepf; Bruce S Spottiswoode; Carlo N De Cecco; Giuseppe Muscogiuri; Julian L Wichmann; Stefanie Mangold; Stephen R Fuller; Pal Maurovich-Horvat; Bela Merkely; Sheldon E Litwin; Rozemarijn Vliegenthart; Pal Suranyi
Journal:  Eur Radiol       Date:  2017-01-03       Impact factor: 5.315

3.  Functional LGE Imaging: Cardiac Phase-Resolved Assessment of Focal Fibrosis.

Authors:  Sebastian Weingartner; Omer Burak Demirel; Chetan Shenoy; Lothar R Schad; Jeanette Schulz-Menger; Mehmet Akcakaya
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2019-07

4.  Ischemic Heart Disease: Noninvasive Imaging Techniques and Findings.

Authors:  Arlene Sirajuddin; S Mojdeh Mirmomen; Seth J Kligerman; Daniel W Groves; Allen P Burke; Faraz Kureshi; Charles S White; Andrew E Arai
Journal:  Radiographics       Date:  2021-05-21       Impact factor: 6.312

5.  The image quality and diagnostic accuracy of T1-mapping-based synthetic late gadolinium enhancement imaging: comparison with conventional late gadolinium enhancement imaging in real-life clinical situation.

Authors:  Suji Lee; Panki Kim; Dong Jin Im; Young Joo Suh; Yoo Jin Hong; Byoung Wook Choi; Young Jin Kim
Journal:  J Cardiovasc Magn Reson       Date:  2022-04-14       Impact factor: 6.903

Review 6.  CMR for myocardial characterization in ischemic heart disease: state-of-the-art and future developments.

Authors:  Tilman Emrich; Moritz Halfmann; U Joseph Schoepf; Karl-Friedrich Kreitner
Journal:  Eur Radiol Exp       Date:  2021-03-25

7.  Cardiac phase-resolved late gadolinium enhancement imaging.

Authors:  Sebastian Weingärtner; Ömer B Demirel; Francisco Gama; Iain Pierce; Thomas A Treibel; Jeanette Schulz-Menger; Mehmet Akçakaya
Journal:  Front Cardiovasc Med       Date:  2022-09-29

8.  Accurate late gadolinium enhancement prediction by early T1- based quantitative synthetic mapping.

Authors:  Randy van Dijk; Dirkjan Kuijpers; Theodorus A M Kaandorp; Paul R M van Dijkman; Rozemarijn Vliegenthart; Pim van der Harst; Matthijs Oudkerk
Journal:  Eur Radiol       Date:  2017-08-30       Impact factor: 5.315

9.  Redefining viability by cardiovascular magnetic resonance in acute ST-segment elevation myocardial infarction.

Authors:  Heerajnarain Bulluck; Stefania Rosmini; Amna Abdel-Gadir; Anish N Bhuva; Thomas A Treibel; Marianna Fontana; Daniel S Knight; Sabrina Nordin; Alex Sirker; Anna S Herrey; Charlotte Manisty; James C Moon; Derek J Hausenloy
Journal:  Sci Rep       Date:  2017-11-07       Impact factor: 4.379

10.  Quantification of both the area-at-risk and acute myocardial infarct size in ST-segment elevation myocardial infarction using T1-mapping.

Authors:  Heerajnarain Bulluck; Matthew Hammond-Haley; Marianna Fontana; Daniel S Knight; Alex Sirker; Anna S Herrey; Charlotte Manisty; Peter Kellman; James C Moon; Derek J Hausenloy
Journal:  J Cardiovasc Magn Reson       Date:  2017-08-01       Impact factor: 5.364

  10 in total

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