Výsledky vyhledávání - "Debra M Ikeda"

Akademický článek

A Proposed Dedicated Breast PET Lexicon: Standardization of Description and Reporting of Radiotracer Uptake in the Breast

Autor: Kanae K. Miyake, Masako Kataoka, Takayoshi Ishimori, Yoshiaki Matsumoto, Masae Torii, Masahiro Takada, Yoko Satoh, Kazunori Kubota, Hiroko Satake, Masahiro Yakami, Hiroyoshi Isoda, Debra M. Ikeda, Masakazu Toi, Yuji Nakamoto

Publikováno v: Diagnostics, Vol 11, Iss 7, p 1267 (2021)

Dedicated breast positron emission tomography (dbPET) is a new diagnostic imaging modality recently used in clinical practice for the detection of breast cancer and the assessment of tumor biology. dbPET has higher spatial resolution than that of con

Externí odkaz: https://doaj.org/article/3743df14da114c1d8a50ccb07518a48a

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Breast Density Legislation Impact on Breast Cancer Screening and Risk Assessment

Autor: Pranay Kothari, Joseph J Tseng, James S Chalfant, Sarah M Pittman, Anne C Hoyt, Linda Larsen, Pulin Sheth, Mary Yamashita, John Downey, Debra M Ikeda

Publikováno v: Journal of Breast Imaging. 4:371-377

Objective To evaluate breast density notification legislation (BDNL) on breast imaging practice patterns, risk assessment, and supplemental screening. Methods A 20-question anonymous web-based survey was administered to practicing Society of Breast I

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d7ca0e6ff1f928102912319f74e68e02
https://doi.org/10.1093/jbi/wbac034

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Supplementary Materials from Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways

Autor: Ruijiang Li, Allison W. Kurian, Debra M. Ikeda, Bailiang Li, Guohong Cao, Xiaoli Sun, Yi Cui, Jia Wu

Supplementary Methods Figure S1. The top ranked 25 imaging features in characterizing each imaging subtypes, after significance analysis of microarrays (SAM) analysis Figure S2. Validation of four selected quantitative imaging features (that are sign

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::746b6a29aacc78bd23a3ad9390de29ea
https://doi.org/10.1158/1078-0432.22462578

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Data from Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways

Autor: Ruijiang Li, Allison W. Kurian, Debra M. Ikeda, Bailiang Li, Guohong Cao, Xiaoli Sun, Yi Cui, Jia Wu

Purpose: To identify novel breast cancer subtypes by extracting quantitative imaging phenotypes of the tumor and surrounding parenchyma and to elucidate the underlying biologic underpinnings and evaluate the prognostic capacity for predicting recurre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ca28752ede37c860e1359c39d6958d9
https://doi.org/10.1158/1078-0432.c.6525141.v1

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Influence of Imaging Features and Technique on US-guided Tattoo Ink Marking of Axillary Lymph Nodes Removed at Sentinel Lymph Node Biopsy in Women With Breast Cancer

Autor: Debra M. Ikeda, Irene Wapnir, Wendy B. DeMartini, Marlen Pajcini, Joanne Edquilang, Jacqueline Tsai

Publikováno v: Journal of Breast Imaging. 3:583-590

Objective To describe tattoo ink marking of axillary lymph nodes (TIMAN) and the elements leading to successful removal at sentinel lymph node biopsy (SLNB). Methods An IRB-approved retrospective image review was conducted of breast cancer patients w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f2c661ea6137fe4aa912806859316b9b
https://doi.org/10.1093/jbi/wbab049

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