title: Ultrasonic videodensitometric analysis in scleroderma heart disease.
abstract: OBJECTIVE
  Symptomatic cardiac involvement is a frequent visceral complication of systemic sclerosis that can affect the overall prognosis of the disease. The aim of the present study was to detect preclinical myocardial alterations in patients with systemic sclerosis using ultrasonic videodensitometric analysis.
  
  
  METHODS
  Fifty patients with systemic sclerosis [five men, aged 48.8 +/- 11 years (mean +/- SD), range 22-65 years] with normal left ventricular function and 25 age- and sex-matched healthy controls were investigated. Exclusion criteria were the presence of positive maximal exercise stress, arterial hypertension, renal involvement and diabetes. Echocardiographic images were digitized using a real-time video-digitizer Quantitative texture analysis was performed on data from the septum and posterior wall, and mean gray level (MGL) histograms at both end-diastole (d) and end-systole (s) were obtained. The cyclic variation index (CVI) was calculated according to the formula [(MGLd - MGLs)/MGLd] x 100. Left ventricular mass, body surface corrected, was calculated according to the Penn convention.
  
  
  RESULTS
  The pattern of variations of mean gray level during the cardiac cycle was totally different from that of the controls; this finding, probably related to myocardial fibrosis, was detected in the large majority of patients with systemic sclerosis (90%). In particular, CVI, which is the expression of the intrinsic myocardial structural function, was significantly lower than in controls (septum -31 +/- 38% versus 36 +/- 9%, P < 0.0001; and posterior wall -19 +/- 33% versus 51 +/- 20%, P < 0.0001).
  
  
  CONCLUSIONS
  Ultrasonic videodensitometric analysis is a non-invasive, feasible method of detecting myocardial alterations in patients with systemic sclerosis, which could be related to both fibrosis and microcirculatory abnormalities. The potential role of these abnormalities in the pathogenesis of ventricular dysfunction should be investigated further.
authors.affiliation: Department of Internal Medicine, University of Pisa, Italy. dibellov@po.ifc.pi.cnr.it
authors.forename: V
authors.initials: V
authors.lastname: Di Bello
authors.forename: C
authors.initials: C
authors.lastname: Ferri
authors.forename: D
authors.initials: D
authors.lastname: Giorgi
authors.forename: M
authors.initials: M
authors.lastname: Bianchi
authors.forename: A
authors.initials: A
authors.lastname: Bertini
authors.forename: A
authors.initials: A
authors.lastname: Martini
authors.forename: F A
authors.initials: FA
authors.lastname: Storino
authors.forename: M
authors.initials: M
authors.lastname: Paterni
authors.forename: G
authors.initials: G
authors.lastname: Pasero
authors.forename: C
authors.initials: C
authors.lastname: Giusti
mesh_terms: D000328:Adult; D000368:Aged; D003720:Densitometry; D015150:Echocardiography, Doppler / Q000379:methods*; D015716:Electrocardiography, Ambulatory; D005240:Feasibility Studies; D005260:Female; D006331:Heart Diseases / Q000000981:diagnostic imaging* / Q000209:etiology / Q000503:physiopathology; D006352:Heart Ventricles / Q000000981:diagnostic imaging / Q000503:physiopathology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D009200:Myocardial Contraction; D011379:Prognosis; D012595:Scleroderma, Systemic / Q000150:complications / Q000000981:diagnostic imaging* / Q000503:physiopathology; D014741:Video Recording