Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Varadan Sevilimedu"'
Autor:
Sara P. Myers, Varadan Sevilimedu, Andrea V. Barrio, Audree B. Tadros, Anita Mamtani, Mark E. Robson, Monica Morrow, Minna K. Lee
Publikováno v:
npj Breast Cancer, Vol 10, Iss 1, Pp 1-7 (2024)
Abstract BRCA1 and BRCA2 pathogenic variant carriers develop breast cancers with distinct pathological characteristics and mutational signatures that may result in differential response to chemotherapy. We compared rates of pathologic complete respon
Externí odkaz:
https://doaj.org/article/56dd88e241294d48ac3caf9f3c9e9350
Autor:
Paul B. Hicks, Varadan Sevilimedu, Gary R. Johnson, Ilanit R. Tal, Peijun Chen, Lori L. Davis, Julia E. Vertrees, Sidney Zisook, Somaia Mohamed
Publikováno v:
Psychiatric Research and Clinical Practice, Vol 5, Iss 4, Pp 131-143 (2023)
Background In this secondary analysis of the VA Augmentation and Switching Treatments for Improving Depression Outcomes (VAST‐D) study we used antidepressant response trajectories to assess the association of treatment and multiple clinical/demogra
Externí odkaz:
https://doaj.org/article/8973189b768f4ee9857c1f01bec35106
Autor:
Adeleye Dorcas Omisore, Olalekan Olasehinde, Funmilola Olanike Wuraola, Elizabeth Jane Sutton, Varadan Sevilimedu, Oluwatosin Zainab Omoyiola, Anya Romanoff, Israel Adeyemi Owoade, Aanuoluwapo Feyisayomi Olaitan, T Peter Kingham, Olusegun Isaac Alatise, Victoria Lee Mango
Publikováno v:
PLoS ONE, Vol 18, Iss 6, p e0284341 (2023)
BackgroundIn Nigeria, breast cancer incidence is rising, late presentation is common, and outcomes are poor. Patient-related factors such as lack of awareness and misperceptions in addition to health system deficiencies such as lack of a clearly defi
Externí odkaz:
https://doaj.org/article/8a0c2daa010546db91da1ab2b96674f1
Autor:
Astrid Botty van den Bruele, Varadan Sevilimedu, Maxine Jochelson, Silvia Formenti, Larry Norton, Virgilio Sacchini
Publikováno v:
npj Breast Cancer, Vol 8, Iss 1, Pp 1-6 (2022)
Abstract Mobile mammography vans (mammovans) may help close the gap to access of breast cancer screening by providing resources to underserved communities. Minimal data exists on the populations served, the ability of mammovans to reach underserved p
Externí odkaz:
https://doaj.org/article/dfbcd39c01f54fddac8bf8141f34d416
Autor:
Reza Fardanesh, Sunitha B. Thakur, Varadan Sevilimedu, Joao V. Horvat, Roberto Lo Gullo, Jeffrey S. Reiner, Sarah Eskreis-Winkler, Nikita Thakur, Katja Pinker
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
The aim of this study was to determine the range of apparent diffusion coefficient (ADC) values for benign axillary lymph nodes in contrast to malignant axillary lymph nodes, and to define the optimal ADC thresholds for three different ADC parameters
Externí odkaz:
https://doaj.org/article/39a5d1d468e54e6bb5a2536fc1797ed6
Autor:
Roberto Lo Gullo, Isaac Daimiel, Carolina Rossi Saccarelli, Almir Bitencourt, Varadan Sevilimedu, Danny F. Martinez, Maxine S. Jochelson, Elizabeth A. Morris, Jeffrey S. Reiner, Katja Pinker
Publikováno v:
Breast Cancer Research, Vol 22, Iss 1, Pp 1-12 (2020)
Abstract Background To investigate if baseline and/or changes in contralateral background parenchymal enhancement (BPE) and fibroglandular tissue (FGT) measured on magnetic resonance imaging (MRI) and mammographic breast density (MD) can be used as i
Externí odkaz:
https://doaj.org/article/9f0f0362d0f34dcfbf663fc1850a0f6c
Autor:
Roberto Lo Gullo, Hannah Wen, Jeffrey S. Reiner, Raza Hoda, Varadan Sevilimedu, Danny F. Martinez, Sunitha B. Thakur, Maxine S. Jochelson, Peter Gibbs, Katja Pinker
Publikováno v:
Cancers, Vol 13, Iss 24, p 6273 (2021)
The purpose of this retrospective study was to assess whether radiomics analysis coupled with machine learning (ML) based on standard-of-care dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can predict PD-L1 expression status in patien
Externí odkaz:
https://doaj.org/article/395d2416ad824133826bfc3f86f8a043
Autor:
Isaac Daimiel Naranjo, Peter Gibbs, Jeffrey S. Reiner, Roberto Lo Gullo, Caleb Sooknanan, Sunitha B. Thakur, Maxine S. Jochelson, Varadan Sevilimedu, Elizabeth A. Morris, Pascal A. T. Baltzer, Thomas H. Helbich, Katja Pinker
Publikováno v:
Diagnostics, Vol 11, Iss 6, p 919 (2021)
The purpose of this multicenter retrospective study was to evaluate radiomics analysis coupled with machine learning (ML) of dynamic contrast-enhanced (DCE) and diffusion-weighted imaging (DWI) radiomics models separately and combined as multiparamet
Externí odkaz:
https://doaj.org/article/296cd935383e4950b078c7d32f108a33
Publikováno v:
Diagnostics, Vol 11, Iss 3, p 564 (2021)
Altered metabolism including lipids is an emerging hallmark of breast cancer. The purpose of this study was to investigate if breast cancers exhibit different magnetic resonance spectroscopy (MRS)-based lipid composition than normal fibroglandular ti
Externí odkaz:
https://doaj.org/article/283c586c8f1a4143ad41e3301a14bc58
Autor:
R. Elena Ochoa-Albiztegui, Varadan Sevilimedu, Joao V. Horvat, Sunitha B. Thakur, Thomas H. Helbich, Siegfried Trattnig, Elizabeth A. Morris, Jeffrey S. Reiner, Katja Pinker
Publikováno v:
Cancers, Vol 12, Iss 12, p 3763 (2020)
The purpose of this study was to investigate whether ultra-high-field dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast at 7T using quantitative pharmacokinetic (PK) analysis can differentiate between benign and malignant b
Externí odkaz:
https://doaj.org/article/a973ef6c7f5942afa039ac8cf388e1b1