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    Date Issued2022 (1)2020 (1)AuthorBarile, Maria (2)
    Hatabu, Hiroto (2)
    Hammer, Mark (1)Hida, Tomoyuki (1)UMass Chan AffiliationDepartment of Radiology (2)Document TypeJournal Article (1)Response or Comment (1)KeywordRadiology (2)Respiratory Tract Diseases (2)Analytical, Diagnostic and Therapeutic Techniques and Equipment (1)area under the curve (1)AUC (1)View MoreJournalEuropean journal of radiology open (1)JACC. Cardiovascular imaging (1)

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    Detection of Pulmonary Congestion in Heart Failure With Preserved Ejection Fraction Using Quantitative Chest CT

    Hatabu, Hiroto; Barile, Maria (2022-04-01)
    Comment on: Jain CC, Tschirren J, Reddy YNV, Melenovsky V, Redfield M, Borlaug BA. Subclinical Pulmonary Congestion and Abnormal Hemodynamics in Heart Failure With Preserved Ejection Fraction. JACC Cardiovasc Imaging. 2022 Apr;15(4):629-637. doi: 10.1016/j.jcmg.2021.09.017. Epub 2021 Nov 17. PMID: 34801461; PMCID: PMC8995316.
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    Simple quantitative chest CT for pulmonary edema

    Barile, Maria; Hida, Tomoyuki; Hammer, Mark; Hatabu, Hiroto (2020-10-30)
    Purpose: To determine the accuracy of quantitative CT to diagnose pulmonary edema compared to qualitative CT and CXR and to determine a threshold Hounsfield unit (HU) measurement for pulmonary edema on CT examinations. Method: Electronic medical records were searched for patients with a billing diagnosis of heart failure and a Chest CT and CXR performed within three hours between 1/1/2016 to 10/1/2016, yielding 100 patients. CXR and CT examinations were scored for the presence and severity of edema, using a 0-5 scale, and CT HU measurements were obtained in each lobe. Polyserial correlation coefficients evaluated the association between CT HUs and CXR scores, and receiver operating characteristic (ROC) curve analysis determined a cutoff CT HU value for identification of pulmonary edema. Results: Correlation between CT HU and CXR score was moderately strong (r=0.585-0.685) with CT HU measurements demonstrating good to excellent accuracy in differentiating between no edema (grade 0) and mild to severe edema (grades 1-5) in every lobe, with AUCs ranging between 0.869 and 0.995. The left upper lobe demonstrated the highest accuracy, using a cutoff value of -825 HU (AUC of 0.995, sensitivity=100 % and specificity=95.1 %). Additionally, qualitative CT evaluation was less sensitive (84 %) than portable CXR in identifying pulmonary edema. However, quantitative CT evaluation was as sensitive as portable CXR (100 %) and highly specific (95 %). Conclusions: Quantitative CT enables the identification of pulmonary edema with high accuracy and demonstrates a greater sensitivity than qualitative CT in assessment of pulmonary edema.
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