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Titolo:
Validation of a model of left ventricular segmentation for interpretation of SPET myocardial perfusion images
Autore:
Aepfelbacher, FC; Johnson, RB; Schwartz, JG; Chen, LP; Parker, RA; Parker, JA; Danias, PG;
Indirizzi:
Beth Israel Deaconess Med Ctr, Dept Med, Div Cardiovasc, Boston, MA 02215 USA Beth Israel Deaconess Med Ctr Boston MA USA 02215 c, Boston, MA 02215 USA Harvard Univ, Sch Med, Boston, MA 02215 USA Harvard Univ Boston MA USA 02215 vard Univ, Sch Med, Boston, MA 02215 USA Beth Israel Deaconess Med Ctr, Biometr Ctr, Boston, MA 02215 USA Beth Israel Deaconess Med Ctr Boston MA USA 02215 r, Boston, MA 02215 USA Harvard Univ, Sch Med, Boston, MA USA Harvard Univ Boston MA USAHarvard Univ, Sch Med, Boston, MA USA Beth Israel Deaconess Med Ctr, Dept Radiol, Div Nucl Med, Boston, MA 02215USA Beth Israel Deaconess Med Ctr Boston MA USA 02215 ed, Boston, MA 02215USA
Titolo Testata:
EUROPEAN JOURNAL OF NUCLEAR MEDICINE
fascicolo: 11, volume: 28, anno: 2001,
pagine: 1624 - 1629
SICI:
0340-6997(200111)28:11<1624:VOAMOL>2.0.ZU;2-A
Fonte:
ISI
Lingua:
ENG
Soggetto:
CORONARY-ARTERY DISEASE; EMISSION COMPUTED-TOMOGRAPHY; INCREMENTAL PROGNOSTIC VALUE; TL-201 TOMOGRAPHY; DIAGNOSTIC-TESTS; SELECTION BIAS; EXERCISE; REST; ECHOCARDIOGRAPHY; STRATIFICATION;
Keywords:
SPET imaging; coronary anatomy; model; validation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
25
Recensione:
Indirizzi per estratti:
Indirizzo: Danias, PG Beth Israel Deaconess Med Ctr, Dept Med, Div Cardiovasc, 330 Brookline Ave, Boston, MA 02215 USA Beth Israel Deaconess Med Ctr 330 Brookline Ave Boston MA USA 02215
Citazione:
F.C. Aepfelbacher et al., "Validation of a model of left ventricular segmentation for interpretation of SPET myocardial perfusion images", EUR J NUCL, 28(11), 2001, pp. 1624-1629

Abstract

Several models of left ventricular segmentation have been developed that assume a standard coronary artery distribution, and are currently used for interpretation of single-photon emission tomography (SPET) myocardial perfusion imaging. This approach has the potential for incorrect assignment of myocardial segments to vascular territories, possibly over- or underestimating the number of vessels with significant coronary artery disease (CAD). We therefore sought to validate a 17-segment model of myocardial perfusion by comparing the predefined coronary territory assignment with the actual angiographically derived coronary distribution. We examined 135 patients who underwent both coronary angiography and stress SPET imaging within 30 days. Individualized coronary distribution was determined by review of the coronary angiograms and used to identify the coronary artery supplying each of the17 myocardial segments of the model. The actual coronary distribution was used to assess the accuracy of the assumed coronary distribution of the model. The sensitivities and specificities of stress SPET for detection of CADin individual coronary arteries and the classification regarding perceivednumber of diseased coronary arteries were also compared between the two coronary distributions (actual and assumed). The assumed coronary distribution corresponded to the actual coronary anatomy in all but one segment (#3). The majority of patients (80%) had 14 or more concordant segments. Sensitivities and specificities of stress SPET for detection of CAD in the coronaryterritories were similar, with the exception of the RCA territory, for which specificity for detection of CAD was better for the angiographically derived coronary artery distribution than for the model. There was 95% agreement between assumed and angiographically derived coronary distributions in classification to single- versus multi-vessel CAD. Reassignment of a single segment (segment #3) from the LCX to the LAD territory further improved themodel's fit with the anatomic data. It is concluded that left ventricular segmentation using a model with assumed coronary artery distribution is valid for interpretation of SPET myocardial perfusion imaging.

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Documento generato il 09/04/20 alle ore 20:12:25