Search Results - "Panthi, Bikash"

Multiparametric MRI–based radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer.

Authors: Mohamed, Rania M. Panthi, Bikash Adrada, Beatriz E. et al.

Source: Scientific Reports; 7/11/2024, Vol. 14 Issue 1, p1-10, 10p

Subject Terms: DIFFUSION magnetic resonance imaging, TRIPLE-negative breast cancer, NEOADJUVANT chemotherapy, CONTRAST-enhanced magnetic resonance imaging, MAGNETIC resonance imaging, PATHOLOGIC complete response, PROGRESSION-free survival

Diffusion Tensor Imaging for Characterizing Changes in Triple‐Negative Breast Cancer During Neoadjuvant Systemic Therapy.

Authors: Musall, Benjamin C. Rauch, David E. Mohamed, Rania M.M. et al.

Source: Journal of Magnetic Resonance Imaging; Oct2024, Vol. 60 Issue 4, p1367-1376, 10p

Subject Terms: DIFFUSION tensor imaging, PATHOLOGIC complete response, RECEIVER operating characteristic curves, FEATURE extraction, DIFFUSION magnetic resonance imaging

Deep Learning Models Based on Pretreatment MRI and Clinicopathological Data to Predict Responses to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer.

Authors: Xu, Zhan Zhou, Zijian Son, Jong Bum et al.

Source: Cancers; Mar2025, Vol. 17 Issue 6, p966, 17p

Subject Terms: RESEARCH funding, RECEIVER operating characteristic curves, THREE-dimensional imaging, BREAST tumors, PATHOLOGIC complete response, MAGNETIC resonance imaging, CANCER patients, DESCRIPTIVE statistics, LONGITUDINAL method, DEEP learning, COMBINED modality therapy, MACHINE learning, CONFIDENCE intervals

Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer.

Authors: Xu, Zhan Rauch, David E. Mohamed, Rania M. et al.

Source: Cancers; Oct2023, Vol. 15 Issue 19, p4829, 14p

Subject Terms: DEEP learning, DIGITAL image processing, MATHEMATICAL models, MAGNETIC resonance imaging, CANCER patients, TUMOR classification, THEORY, RESEARCH funding, SENSITIVITY & specificity (Statistics), BREAST tumors

Prediction of pathologic complete response to neoadjuvant systemic therapy in triple negative breast cancer using deep learning on multiparametric MRI.

Authors: Zhou, Zijian Adrada, Beatriz E. Candelaria, Rosalind P. et al.

Source: Scientific Reports; 1/20/2023, Vol. 13 Issue 1, p1-10, 10p

Subject Terms: TRIPLE-negative breast cancer, PATHOLOGIC complete response, RECEIVER operating characteristic curves, BREAST, DEEP learning, NEOADJUVANT chemotherapy, DIFFUSION magnetic resonance imaging

Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiation.

Authors: Hiremath, Khushi C. Atakishi, Kenan Lima, Ernesto A. B. F. et al.

Source: Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences; 4/1/2025, Vol. 383 Issue 2293, p1-22, 22p

Subject Terms: SIMULATED patients, PARAMETER estimation, MATHEMATICAL models, BIOLOGICAL systems, STATISTICAL correlation

Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI.

Authors: Panthi, Bikash Adrada, Beatriz E. Candelaria, Rosalind P. et al.

Source: Cancers; Feb2023, Vol. 15 Issue 4, p1025, 15p

Subject Terms: BREAST tumor treatment, BREAST cancer prognosis, CONTRAST media, MAGNETIC resonance imaging, MANN Whitney U Test, TREATMENT effectiveness, TUMOR classification, DESCRIPTIVE statistics, RESEARCH funding, COMBINED modality therapy, RECEIVER operating characteristic curves, EVALUATION

Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer.

Authors: Panthi, Bikash Mohamed, Rania M. Adrada, Beatriz E. et al.

Source: Frontiers in Oncology; 2023, p1-11, 11p

Subject Terms: TRIPLE-negative breast cancer, CONTRAST-enhanced magnetic resonance imaging, NEOADJUVANT chemotherapy, RECEIVER operating characteristic curves, PEARSON correlation (Statistics)

Embedding RFID( Radio Frequency Identification ) chip into LPMS( Low Pressure Moulding System) with specific design

Authors: Panthi, Bikash Arcada - Nylands svenska yrkeshögskola

Contributors: Panthi, Bikash Arcada - Nylands svenska yrkeshögskola

Subject Terms: Radio frequency identification systems, Injection molding of plastics, Prototypes, Engineering, automatisk identifiering, formsprutning, inkapsling, RFID, Low Pressure Moulding System, fi=Materiaalitekniikka|sv=Materialteknik|en=Materials Engineering, Degree Programme in Plastics Technology

Relation: https://www.theseus.fi/handle/10024/55054; 10024/424

Availability: https://www.theseus.fi/handle/10024/55054

EARLY PREDICTION OF NEOADJUVANT SYSTEMIC THERAPY RESPONSE IN TRIPLE NEGATIVE BREAST CANCER USING FUNCTIONAL MAGNETIC RESONANCE IMAGING

Authors: Panthi, Bikash Pinsky, Lawrence Ma, Jingfei et al.

Contributors: Panthi, Bikash Pinsky, Lawrence Ma, Jingfei et al.

Subject Terms: Neoadjuvant Systemic Therapy, Response Prediction, Dynamic Contrast-enhanced MRI, Diffusion-weighted MRI, Radiomics, Functional Tumor Volume

File Description: application/pdf; Born digital

Relation: Portions of this document appear in: Panthi, Bikash, Beatriz E. Adrada, Rosalind P. Candelaria, Mary S. Guirguis, Clinton Yam, Medine Boge, Huiqin Chen et al. "Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI." Cancers 15, no. 4 (2023): 1025.; https://hdl.handle.net/10657/15031

Availability: https://hdl.handle.net/10657/15031