Access the full text.
Sign up today, get DeepDyve free for 14 days.
Peyster (2022)
Computational analysis of routine biopsies improves diagnosis and prediction of cardiac allograft vasculopathy.Circulation, 145
Pallett (2020)
Longevity and replenishment of human liver-resident memory T cells and mononuclear phagocytes.J Exp Med, 217
Tian (2022)
Skin and heart allograft rejection solely by long-lived alloreactive TRM cells in skin of severe combined immunodeficient mice.Sci Adv, 8
Tsutsui (2001)
Lumen loss in transplant coronary artery disease is a biphasic process involving early intimal thickening and late constrictive remodeling: results from a 5-year serial intravascular ultrasound study.Circulation, 104
Loupy (2016)
Late failing heart allografts: pathology of cardiac allograft vasculopathy and association with antibody-mediated rejection.Am J Transplant, 16
Bartolomé-Casado (2019)
Resident memory CD8 T cells persist for years in human small intestine.J Exp Med, 216
Gebhardt (2009)
Memory T cells in nonlymphoid tissue that provide enhanced local immunity during infection with herpes simplex virus.Nat Immunol, 10
Moayedi (2020)
Predicting where patients will be, rather than just seeing where they are: establishing trajectories of cardiac allograft vasculopathy.Circulation, 141
1 1 Guido Lewik, MD, and Fadi Issa, DPhil, FRCS without early-onset CAV (no-CAV). Additionally, 51 disease PEYSTER EG, JANOWCZYK A, SWAMIDOSS A, control biopsies from patients with definitive angiographic ET AL. COMPUTATIONAL ANALYSIS OF ROUTINE CAV diagnosis were assessed. A comparison of no-CAV BIOPSIES IMPROVES DIAGNOSIS AND PREDICTION and (definitive CAV) disease controls revealed 11 variable OF CARDIAC ALLOGRAFT VASCULOPATHY. discriminative features, such as perivascular cellular density CIRCULATION. 24;145(21):1563–1577. and collagen proliferation inside and outside of the myo- cardial compartment. This diagnosis model reached 86.7% ong-term success in heart transplantation remains lim- accuracy on the test set. For predictive modeling, no-CAV Lited by cardiac allograft vasculopathy (CAV), a fibro- samples were compared to pre–early-onset CAV samples. proliferative disease characterized by luminal narrowing of 10 variables were included, such as the ratio of microves- the macro- and microvasculature. To predict CAV devel- sels to myocyte staining areas and perivascular cellular opment in heart transplant patients, clinical, functional, density. Accurate prediction of the test set was found to and macroscopic indicators have been assessed with very be 81.6% with this model. Lastly and most crucially, the limited success. More precise individual risk stratification authors incorporated these histological and clinical predic-
Transplantation – Wolters Kluwer Health
Published: Aug 22, 2022
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.