Literature DB >> 26304802

Whole-Body MR Imaging Including Angiography: Predicting Recurrent Events in Diabetics.

Robert C Bertheau1, Fabian Bamberg2,3, Elena Lochner4, Hannes M Findeisen5, Klaus G Parhofer6, Hans-Ulrich Kauczor1, Stefan O Schoenberg7, Sabine Weckbach1, Christopher L Schlett1.   

Abstract

OBJECTIVES: Whether whole-body MRI can predict occurrence of recurrent events in patients with diabetes mellitus.
METHODS: Whole-body MRI was prospectively applied to 61 diabetics and assessed for arteriosclerosis and ischemic cerebral/myocardial changes. Occurrence of cardiocerebral events and diabetic comorbidites was determined. Patients were stratified whether no, a single or recurrent events arose. As a secondary endpoint, events were stratified into organ system-specific groups.
RESULTS: During a median follow-up of 70 months, 26 diabetics developed a total of 39 events; 18 (30%) developed one, 8 (13%) recurrent events. Between diabetics with no, a single and recurrent events, a stepwise higher burden was observed for presence of left ventricular (LV) hypo-/akinesia (3/28/75%, p < 0.0001), myocardial delayed-contrast-enhancement (17/33/63%, p = 0.001), carotid artery stenosis (11/17/63%, p = 0.005), peripheral artery stenosis (26/56/88%, p = 0.0006) and vessel score (1.00/1.30/1.76, p < 0.0001). After adjusting for clinical characteristics, LV hypo-/akinesia (hazard rate ratio = 6.57, p < 0.0001) and vessel score (hazard rate ratio = 12.29, p < 0.0001) remained independently associated. Assessing organ system risk, cardiac and cerebral MR findings predicted more strongly events in their respective organ system. Vessel-score predicted both cardiac and cerebral, but not non-cardiocerebral, events.
CONCLUSION: Whole-body MR findings predict occurrence of recurrent events in diabetics independent of clinical characteristics, and may concurrently provide organ system-specific risk. KEY POINTS: • Patients with long-standing diabetes mellitus are at high risk for recurrent events. • Whole-body MRI predicts occurrence of recurrent events independently of clinical characteristics. • The vessel score derived from whole-body angiography is a good general risk-marker. • Whole-body MRI may also provide organ-specific risk assessment. • Current findings may indicate benefits of whole-body MRI for risk stratification.

Entities:  

Keywords:  Anatomical relatedness; Diabetes mellitus; Prediction; Recurrent events; Whole-body magnetic resonance imaging

Mesh:

Year:  2015        PMID: 26304802     DOI: 10.1007/s00330-015-3936-4

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  36 in total

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Authors:  Fabian Bamberg; Klaus G Parhofer; Elena Lochner; Roy P Marcus; Daniel Theisen; Hannes M Findeisen; Udo Hoffmann; Stefan O Schönberg; Christopher L Schlett; Maximilian F Reiser; Sabine Weckbach
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Authors: 
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5.  Prevalence and Distribution of Atherosclerosis in a Low- to Intermediate-Risk Population: Assessment with Whole-Body MR Angiography.

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