Rosalind P Candelaria
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Explore the profile of Rosalind P Candelaria including associated specialties, affiliations and a list of published articles.
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47
Citations
607
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Recent Articles
1.
Yam C, Patel M, Hill H, Sun R, Bassett Jr R, Kong E, et al.
Cancer Res Commun
. 2024 Oct;
4(10):2823-2834.
PMID: 39356138
Purpose: Epidermal growth factor receptor (EGFR) pathway activation causes chemotherapy resistance, and inhibition of the EGFR pathway sensitizes triple-negative breast cancer (TNBC) cells to chemotherapy in preclinical models. Given the...
2.
Huang M, Lane D, Chang Sen L, Candelaria R, Kuerer H, Hunt K, et al.
Acad Radiol
. 2024 Aug;
31(12):4759-4771.
PMID: 39107186
Rationale And Objectives: Recent ICE3 trial of breast cryoablation for breast cancer demonstrated 98% success rate, similar to breast-conserving surgery. However, ICE3 and other published studies did not differentiate curative...
3.
Wanis K, Goetz L, So A, Glencer A, Sun S, Teshome M, et al.
Ann Surg Oncol
. 2024 Jul;
31(11):7339-7346.
PMID: 39048903
Background: Axillary dissection is the standard of care for patients with positive sentinel lymph nodes (SLNs) following neoadjuvant systemic therapy. Frozen section can provide intraoperative information regarding the need for...
4.
Mohamed R, Panthi B, Adrada B, Boge M, Candelaria R, Chen H, et al.
Sci Rep
. 2024 Jul;
14(1):16073.
PMID: 38992094
Triple-negative breast cancer (TNBC) is often treated with neoadjuvant systemic therapy (NAST). We investigated if radiomic models based on multiparametric Magnetic Resonance Imaging (MRI) obtained early during NAST predict pathologic...
5.
Musall B, Rauch D, Mohamed R, Panthi B, Boge M, Candelaria R, et al.
J Magn Reson Imaging
. 2024 Jan;
60(4):1367-1376.
PMID: 38294179
Background: Assessment of treatment response in triple-negative breast cancer (TNBC) may guide individualized care for improved patient outcomes. Diffusion tensor imaging (DTI) measures tissue anisotropy and could be useful for...
6.
Zhou Z, Adrada B, Candelaria R, Elshafeey N, Boge M, Mohamed R, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2023 Dec;
2023:1-4.
PMID: 38083160
We trained and validated a deep learning model that can predict the treatment response to neoadjuvant systemic therapy (NAST) for patients with triple negative breast cancer (TNBC). Dynamic contrast enhanced...
7.
Panthi B, Mohamed R, Adrada B, Boge M, Candelaria R, Chen H, et al.
Front Oncol
. 2023 Nov;
13:1264259.
PMID: 37941561
Early prediction of neoadjuvant systemic therapy (NAST) response for triple-negative breast cancer (TNBC) patients could help oncologists select individualized treatment and avoid toxic effects associated with ineffective therapy in patients...
8.
Xu Z, Rauch D, Mohamed R, Pashapoor S, Zhou Z, Panthi B, et al.
Cancers (Basel)
. 2023 Oct;
15(19).
PMID: 37835523
Accurate tumor segmentation is required for quantitative image analyses, which are increasingly used for evaluation of tumors. We developed a fully automated and high-performance segmentation model of triple-negative breast cancer...
9.
Hwang K, Elshafeey N, Kotrotsou A, Chen H, Son J, Boge M, et al.
Radiol Imaging Cancer
. 2023 Jul;
5(4):e230009.
PMID: 37505106
Purpose To determine if a radiomics model based on quantitative maps acquired with synthetic MRI (SyMRI) is useful for predicting neoadjuvant systemic therapy (NAST) response in triple-negative breast cancer (TNBC)....
10.
Huang M, Tomkovich K, Lane D, Katta R, Candelaria R, Santiago L
Acad Radiol
. 2023 Jul;
30(10):2383-2395.
PMID: 37455177
Surgical treatment for breast cancer has evolved from radical mastectomy to modified radical mastectomy to breast-conserving surgery. As the de-escalation of surgical treatment for breast cancer continues, nonsurgical treatment for...