Title |
Cardiovascular magnetic resonance patterns of biopsy proven cardiac involvement in systemic sclerosis
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Published in |
Critical Reviews in Diagnostic Imaging, October 2016
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DOI | 10.1186/s12968-016-0289-3 |
Pubmed ID | |
Authors |
Patrick Krumm, Karin A. L. Mueller, Karin Klingel, Ulrich Kramer, Marius S. Horger, Tanja Zitzelsberger, Reinhard Kandolf, Meinrad Gawaz, Konstantin Nikolaou, Bernhard D. Klumpp, Joerg C. Henes |
Abstract |
To determine morphological and functional cardiovascular magnetic resonance (CMR) patterns in histopathologically confirmed myocardial involvement in patients with systemic sclerosis (SSc). Twenty patients (6 females; mean age 41 ± 11 years) with histopathologically proven cardiac involvement in SSc in the years 2008-2016 were retrospectively evaluated. Morphological, functional and late gadolinium enhancement (LGE) images were acquired in standard angulations at 1.5 T CMR. Pathologies were categorized: 1) Pericardial effusion; 2) pathologic left (LV) or right ventricular (RV) contractility (hypokinesia, dyssynchrony, and diastolic restriction); 3) reduced left (LV-EF) and right ventricular ejection fraction (RV-EF); 4) fibrosis and/or inflammation (positive LGE); 5) RV dilatation. 95 % confidence intervals (CI) were calculated for appearance of pathologic EF and RV dilatation. Seven patients (35 %) had positive CMR findings in three categories, 9 patients (45 %) in four categories and 4 patients (20 %) in five categories. The distribution of pathologic findings was: minimal pericardial effusion in 7 patients (35 %), moderate pericardial effusion >5 mm in nine patients (45 %); abnormal LV or RV contractility in 19 patients (95 %), reduced LV or RV function in 14 patients (70 %; 95 % CI: 51-88 %), pathologic LGE in all patients, RV dilatation in 6 patients (30 %; 95 % CI: 15-54 %). CMR diagnosis of myocardial involvement in SSc requires increased attention to subtle findings. Pathologic findings in at least three of five categories indicate myocardial involvement in SSc. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 33% |
India | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 83% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Other | 9 | 18% |
Student > Ph. D. Student | 7 | 14% |
Researcher | 5 | 10% |
Student > Bachelor | 4 | 8% |
Lecturer | 3 | 6% |
Other | 8 | 16% |
Unknown | 15 | 29% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 28 | 55% |
Nursing and Health Professions | 2 | 4% |
Agricultural and Biological Sciences | 2 | 4% |
Computer Science | 1 | 2% |
Unspecified | 1 | 2% |
Other | 2 | 4% |
Unknown | 15 | 29% |