Is it possible to recognize pulmonary infarction on multisection CT images?

被引:69
作者
Revel, Marie-Pierre [1 ]
Triki, Rached
Chatellier, Gilles
Couchon, Sophie
Haddad, Nathalie
Hernigou, Anne
Danel, Claire
Frija, Guy
机构
[1] Hopitaux Paris, Paris, France
[2] Hop Europeen Georges Pompidou, Dept Radiol, F-75015 Paris, France
[3] Hop Europeen Georges Pompidou, Clin Res Unit, F-75015 Paris, France
[4] Hop Europeen Georges Pompidou, Lab Anat & Pathol, F-75015 Paris, France
关键词
D O I
10.1148/radiol.2443060846
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To retrospectively determine sensitivity and specificity of four findings for distinguishing pulmonary infarction from other causes of peripheral pulmonary consolidations on computed tomographic (CT) images, with multidetector CT and clinical findings as reference. Materials and Methods: Institutional review board approved the study and waived informed consent. Three independent radiologists blindly analyzed selected multisection CT images of 50 pulmonary infarctions-not showing direct arterial signs of pulmonary embolism-and 100 peripheral consolidations of other origins. Readers analyzed four, findings: triangular shape, vessel sign (defined as presence of an enlarged vessel at the apex of consolidation), central lucencies, and air broncliograms. Interobserver agreement; frequency on CT images with and without infarct; and sensitivity, specificity, and positive likelihood ratio (LR) for diagnosis of pulmonary infarction, were assessed for each finding. Results: One hundred fifty peripheral consolidations were analyzed in 134 (75 men, 59 women) patients (mean age, 55.9 +/- years 17.4 [standard deviation] vs 54.7 +/- 19.9; P = .71). Interobserver agreement was good for central lucencies and air bronchograms and poor to moderate for the other two findings (kappa < 0.61). Compared with CT images without infarct, CT images with infarct had a higher frequency of vessel sign (32% [16 of 50] vs 11 % [11 of 100], P = .029) and central lucencies (46% [23 of 50] vs 2% [two of 100], P < .001) and a lower frequency of air bronchograms (8% [four of 50] vs 40% [40 of 100], P = .003). Frequency of triangular shape was similar in both groups (52% [26 of 50] vs 40% [40 of 100], P = .17). Positive LR was 23.0 for central lucencies, 2.9 for vessel sign, 1.3 for triangular shape, and 0.2 for air bronchograms. Presence of central lucencies had 98% specificity and 46% sensitivity for pulmonary infarction. When the vessel sign and negative air bronchogram were combined with central lucencies, specificity increased to 99% but sensitivity decreased to 14%. Conclusion: Central lucencies in peripheral consolidations are highly suggestive of pulmonary infarction.
引用
收藏
页码:875 / 882
页数:8
相关论文
共 18 条
[2]   PULMONARY INFARCTION - CT APPEARANCE WITH PATHOLOGIC CORRELATION [J].
BALAKRISHNAN, J ;
MEZIANE, MA ;
SIEGELMAN, SS ;
FISHMAN, EK .
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 1989, 13 (06) :941-945
[3]   Acute pulmonary embolism: Ancillary findings at spiral CT [J].
Coche, EE ;
Muller, NL ;
Kim, KI ;
Wiggs, BR ;
Mayo, JR .
RADIOLOGY, 1998, 207 (03) :753-758
[4]   From the archives of the AFIP - Pulmonary vasculature: Hypertension and infarction [J].
Frazier, AA ;
Galvin, JR ;
Franks, TJ ;
Rosado-de-Christenson, ML .
RADIOGRAPHICS, 2000, 20 (02) :491-524
[5]   Ventilation-perfusion scanning and helical CT in suspected pulmonary embolism: Meta-analysis of diagnostic performance [J].
Hayashino, Y ;
Goto, M ;
Noguchi, Y ;
Fukui, T .
RADIOLOGY, 2005, 234 (03) :740-748
[6]   Pulmonary Infarction Spectrum of Findings on Multidetector Helical CT [J].
He, Hongying ;
Stein, Marjorie W. ;
Zalta, Benjamin ;
Haramati, Linda B. .
JOURNAL OF THORACIC IMAGING, 2006, 21 (01) :1-7
[7]   USERS GUIDES TO THE MEDICAL LITERATURE .3. HOW TO USE AN ARTICLE ABOUT A DIAGNOSTIC-TEST .B. WHAT ARE THE RESULTS AND WILL THEY HELP ME IN CARING FOR MY PATIENTS [J].
JAESCHKE, R ;
GUYATT, GH ;
SACKETT, DL ;
GUYATT, G ;
BASS, E ;
BRILLEDWARDS, P ;
BROWMAN, G ;
COOK, D ;
FARKOUH, M ;
GERSTEIN, H ;
HAYNES, B ;
HAYWARD, R ;
HOLBROOK, A ;
JUNIPER, E ;
LEE, H ;
LEVINE, M ;
MOYER, V ;
NISHIKAWA, J ;
OXMAN, A ;
PATEL, A ;
PHILBRICK, J ;
RICHARDSON, WS ;
SAUVE, S ;
SACKETT, D ;
SINCLAIR, J ;
TROUT, KS ;
TUGWELL, P ;
TUNIS, S ;
WALTER, S ;
WILSON, M .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1994, 271 (09) :703-707
[8]   Spiral CT of acute pulmonary thromboembolism: Evaluation of pleuroparenchymal abnormalities [J].
Johnson, PT ;
Wechsler, RJ ;
Salazar, AM ;
Fisher, AM ;
Nazarian, LN ;
Steiner, RM .
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 1999, 23 (03) :369-373
[9]   Subtypes of peripheral adenocarcinoma of the lung: differentiation by thin-section CT [J].
Nakazono, T ;
Sakao, Y ;
Yamaguchi, K ;
Imai, S ;
Kumazoe, H ;
Kudo, S .
EUROPEAN RADIOLOGY, 2005, 15 (08) :1563-1568
[10]   Multidetector-row computed tomography in suspected pulmonary embolism [J].
Perrier, A ;
Roy, P ;
Sanchez, O ;
Le Gal, G ;
Meyer, G ;
Gourdier, A ;
Furber, A ;
Revel, M ;
Howarth, N ;
Davido, A ;
Bounameaux, H .
NEW ENGLAND JOURNAL OF MEDICINE, 2005, 352 (17) :1760-1768