Výsledky vyhledávání - "Sepideh Azarianpour-Esfahani"

Akademický článek

Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignancies

Autor: Arpit Aggarwal, Sirvan Khalighi, Deepak Babu, Haojia Li, Sepideh Azarianpour-Esfahani, Germán Corredor, Pingfu Fu, Mojgan Mokhtari, Tilak Pathak, Elizabeth Thayer, Susan Modesitt, Haider Mahdi, Stefanie Avril, Anant Madabhushi

Publikováno v: Communications Medicine, Vol 4, Iss 1, Pp 1-12 (2024)

Abstract Background The role of immune cells in collagen degradation within the tumor microenvironment (TME) is unclear. Immune cells, particularly tumor-infiltrating lymphocytes (TILs), are known to alter the extracellular matrix, affecting cancer p

Externí odkaz: https://doaj.org/article/4d8cb787bd424bc9875541fc186dea88

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61 Combination of novel biomarkers of collagen fiber and immune architecture are associated with clinically relevant outcomes in gynecological cancers treated with immunotherapy

Autor: Arpit Aggarwal, Sepideh Azarianpour-Esfahani, Haojia Li, Pingfu Fu, Mojgan Mokhtari, Stefanie Avril, Haider Mahdi, Anant Madabhushi

Publikováno v: Regular and Young Investigator Award Abstracts.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f77ce832f806f90367636c148fd51195
https://doi.org/10.1136/jitc-2022-sitc2022.0061

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Spatial interplay patterns of cancer nuclei and tumor-infiltrating lymphocytes (TILs) predict clinical benefit for immune checkpoint inhibitors

Autor: Xiangxue Wang, Cristian Barrera, Kaustav Bera, Vidya Sankar Viswanathan, Sepideh Azarianpour-Esfahani, Can Koyuncu, Priya Velu, Michael D. Feldman, Michael Yang, Pingfu Fu, Kurt A. Schalper, Haider Mahdi, Cheng Lu, Vamsidhar Velcheti, Anant Madabhushi

Publikováno v: Science advances. 8(22)

Immune checkpoint inhibitors (ICIs) show prominent clinical activity across multiple advanced tumors. However, less than half of patients respond even after molecule-based selection. Thus, improved biomarkers are required. In this study, we use an im

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9f82c9ae7478677d4ba21629f269a95
https://pubmed.ncbi.nlm.nih.gov/35648850

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An automated computational image analysis pipeline for histological grading of cardiac allograft rejection

Autor: Kenneth B. Margulies, Sepideh Azarianpour-Esfahani, Luke Blower, Andrew Janowczyk, Anil V. Parwani, Anant Madabhushi, Miroslav Sekulic, Eliot G. Peyster, Michael Feldman, Sara ArabYarmohammadi, Clarissa A. Cassol, Priti Lal

Publikováno v: European Heart Journal

Aim Allograft rejection is a serious concern in heart transplant medicine. Though endomyocardial biopsy with histological grading is the diagnostic standard for rejection, poor inter-pathologist agreement creates significant clinical uncertainty. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30d724f9749211ebce89074218731334
https://doi.org/10.1093/eurheartj/ehab241

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SPARTA: An Integrated Stability, Discriminability, and Sparsity Based Radiomic Feature Selection Approach

Autor: Sepideh Azarianpour Esfahani, Amir Reza Sadri, Pavithran Pattiam Giriprakash, Patrick Leo, Anant Madabhushi, Jacob Antunes, Prathyush Chirra, Satish Viswanath

Publikováno v: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871987
MICCAI (3)

In order to ensure that a radiomics-based machine learning model will robustly generalize to new, unseen data (which may harbor significant variations compared to the discovery cohort), radiomic features are often screened for stability via test/rete

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::66f54c1afb073ab574eee701d1b5dd82
https://doi.org/10.1007/978-3-030-87199-4_42

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Computational features of TIL architecture are differentially prognostic of uterine cancer between African and Caucasian American women

Autor: Pingfu Fu, Sepideh Azarianpour Esfahani, Anant Madabhushi, Haider Mahdi

Publikováno v: Journal of Clinical Oncology. 39:5585-5585

5585 Background: Although the vast majority of endometrial cancer (EC) is early-stage and thus, curable by surgery, chemotherapy, and radiotherapy (with at least 85% 5-year OS), a fraction of them are aggressive neoplasms such as high-grade or deeply

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3ba7b8aea11f9465013c44bb633ef14b
https://doi.org/10.1200/jco.2021.39.15_suppl.5585

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Computerized features of spatial arrangement of tumor-infiltrating lymphocytes from H&E images predicts survival and response to checkpoint inhibitors in gynecologic cancers

Autor: Sepideh Azarianpour Esfahani, Amy Joehlin-Price, Germán Corredor, Anant Madabhushi, Haider Mahdi, Kaustav Bera, Pingfu Fu

Publikováno v: Journal of Clinical Oncology. 38:6074-6074

6074 Background: Immune checkpoint inhibitors (ICI) have demonstrated success in solid tumors. In gynecologic cancers (GC), the response rate is still low (~10-15%) except in MSI-H endometrial cancer (~ 50%). Current biomarkers (e.g. PDL1 expression)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::13c5e3906e0996013eeaea2f8d53eea5
https://doi.org/10.1200/jco.2020.38.15_suppl.6074

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