Computerized scoring of histopathology for predicting coronary vasculopathy, validated by intravascular ultrasound

Mohamad H. Yamani, E. Murat Tuzcu, Randall C. Starling, James B. Young, Daniel J. Cook, Showkat Haji, Ashraf Abdo, Tim Crowe, Robert Hobbs, Gustavo Rincon, Corinne Bott-Silverman, Patrick M. McCarthy, Norman B. Ratliff

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Background: Allograft coronary vasculopathy results from a complex interplay between immunologic and non-immunologic factors. We devised a computerized biopsy scoring method based on histopathology to predict the development of coronary vasculopathy. Methods: One hundred forty heart transplant recipients underwent serial intravascular ultrasound analysis at baseline (within 1 month) and at 1 year after transplantation and were evaluated for development of coronary vasculopathy (change in coronary maximal intimal thickness, CMIT). We evaluated serial endomyocardial biopsy specimens for cellular rejection, vascular rejection, ischemia, and fibrosis. In a mathematical model, we computed a biopsy score in each patient based on the duration and severity of histopathology. Results: We found a significant correlation between biopsy score (RY) and progression of coronary vasculopathy (r = 0.54, p = 0.001). Using a sensitivity analysis method, an RY value of ≥560 predicted development of coronary vasculopathy with a sensitivity of 86%, specificity of 62%, and diagnostic accuracy of 80%. Compared with patients with low-risk biopsy scores (RY < 560, n = 37), patients with high-risk biopsy scores (RY ≥ 560, n = 103) had increased progression of coronary vasculopathy (CMIT, 0.59 ± 0.29 vs 0.19 ± 0.10 mm, p < 0.001) and worse 7-year event-free survival (60% vs 91%, p = 0.01). Conclusion: The biopsy score is an effective method for predicting the development of coronary vasculopathy and for predicting outcome in cardiac transplant recipients.

Original languageEnglish (US)
Pages (from-to)850-859
Number of pages10
JournalJournal of Heart and Lung Transplantation
Volume21
Issue number8
DOIs
StatePublished - Aug 23 2002

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Biopsy
Tunica Intima
Disease-Free Survival
Allografts
Blood Vessels
Fibrosis
Research Design
Theoretical Models
Ischemia
Transplantation
Sensitivity and Specificity
Transplant Recipients

All Science Journal Classification (ASJC) codes

  • Surgery
  • Pulmonary and Respiratory Medicine
  • Cardiology and Cardiovascular Medicine
  • Transplantation

Cite this

Computerized scoring of histopathology for predicting coronary vasculopathy, validated by intravascular ultrasound. / Yamani, Mohamad H.; Tuzcu, E. Murat; Starling, Randall C.; Young, James B.; Cook, Daniel J.; Haji, Showkat; Abdo, Ashraf; Crowe, Tim; Hobbs, Robert; Rincon, Gustavo; Bott-Silverman, Corinne; McCarthy, Patrick M.; Ratliff, Norman B.

In: Journal of Heart and Lung Transplantation, Vol. 21, No. 8, 23.08.2002, p. 850-859.

Research output: Contribution to journalArticle

Yamani, MH, Tuzcu, EM, Starling, RC, Young, JB, Cook, DJ, Haji, S, Abdo, A, Crowe, T, Hobbs, R, Rincon, G, Bott-Silverman, C, McCarthy, PM & Ratliff, NB 2002, 'Computerized scoring of histopathology for predicting coronary vasculopathy, validated by intravascular ultrasound', Journal of Heart and Lung Transplantation, vol. 21, no. 8, pp. 850-859. https://doi.org/10.1016/S1053-2498(02)00415-1
Yamani, Mohamad H. ; Tuzcu, E. Murat ; Starling, Randall C. ; Young, James B. ; Cook, Daniel J. ; Haji, Showkat ; Abdo, Ashraf ; Crowe, Tim ; Hobbs, Robert ; Rincon, Gustavo ; Bott-Silverman, Corinne ; McCarthy, Patrick M. ; Ratliff, Norman B. / Computerized scoring of histopathology for predicting coronary vasculopathy, validated by intravascular ultrasound. In: Journal of Heart and Lung Transplantation. 2002 ; Vol. 21, No. 8. pp. 850-859.
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abstract = "Background: Allograft coronary vasculopathy results from a complex interplay between immunologic and non-immunologic factors. We devised a computerized biopsy scoring method based on histopathology to predict the development of coronary vasculopathy. Methods: One hundred forty heart transplant recipients underwent serial intravascular ultrasound analysis at baseline (within 1 month) and at 1 year after transplantation and were evaluated for development of coronary vasculopathy (change in coronary maximal intimal thickness, CMIT). We evaluated serial endomyocardial biopsy specimens for cellular rejection, vascular rejection, ischemia, and fibrosis. In a mathematical model, we computed a biopsy score in each patient based on the duration and severity of histopathology. Results: We found a significant correlation between biopsy score (RY) and progression of coronary vasculopathy (r = 0.54, p = 0.001). Using a sensitivity analysis method, an RY value of ≥560 predicted development of coronary vasculopathy with a sensitivity of 86{\%}, specificity of 62{\%}, and diagnostic accuracy of 80{\%}. Compared with patients with low-risk biopsy scores (RY < 560, n = 37), patients with high-risk biopsy scores (RY ≥ 560, n = 103) had increased progression of coronary vasculopathy (CMIT, 0.59 ± 0.29 vs 0.19 ± 0.10 mm, p < 0.001) and worse 7-year event-free survival (60{\%} vs 91{\%}, p = 0.01). Conclusion: The biopsy score is an effective method for predicting the development of coronary vasculopathy and for predicting outcome in cardiac transplant recipients.",
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AU - Yamani, Mohamad H.

AU - Tuzcu, E. Murat

AU - Starling, Randall C.

AU - Young, James B.

AU - Cook, Daniel J.

AU - Haji, Showkat

AU - Abdo, Ashraf

AU - Crowe, Tim

AU - Hobbs, Robert

AU - Rincon, Gustavo

AU - Bott-Silverman, Corinne

AU - McCarthy, Patrick M.

AU - Ratliff, Norman B.

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N2 - Background: Allograft coronary vasculopathy results from a complex interplay between immunologic and non-immunologic factors. We devised a computerized biopsy scoring method based on histopathology to predict the development of coronary vasculopathy. Methods: One hundred forty heart transplant recipients underwent serial intravascular ultrasound analysis at baseline (within 1 month) and at 1 year after transplantation and were evaluated for development of coronary vasculopathy (change in coronary maximal intimal thickness, CMIT). We evaluated serial endomyocardial biopsy specimens for cellular rejection, vascular rejection, ischemia, and fibrosis. In a mathematical model, we computed a biopsy score in each patient based on the duration and severity of histopathology. Results: We found a significant correlation between biopsy score (RY) and progression of coronary vasculopathy (r = 0.54, p = 0.001). Using a sensitivity analysis method, an RY value of ≥560 predicted development of coronary vasculopathy with a sensitivity of 86%, specificity of 62%, and diagnostic accuracy of 80%. Compared with patients with low-risk biopsy scores (RY < 560, n = 37), patients with high-risk biopsy scores (RY ≥ 560, n = 103) had increased progression of coronary vasculopathy (CMIT, 0.59 ± 0.29 vs 0.19 ± 0.10 mm, p < 0.001) and worse 7-year event-free survival (60% vs 91%, p = 0.01). Conclusion: The biopsy score is an effective method for predicting the development of coronary vasculopathy and for predicting outcome in cardiac transplant recipients.

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