Exploring Neoadjuvant Chemotherapy, Predictive Models, Radiomic, and Pathological Markers in Breast Cancer: A Comprehensive Review (original) (raw)

Quantitative Predictions of Neoadjuvant Chemotherapy Effects in Breast Cancer by Individual Patient Data Assimililation

DARIO GIUFFRIDA

Annals of hematology & oncology, 2021

View PDFchevron_right

Assessment and Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Comparison of Imaging Modalities and Future Perspectives

Simone Maurea

Cancers, 2021

View PDFchevron_right

Tumor Response Ratio Predicts Overall Survival in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy

Laura Kruper

View PDFchevron_right

Early Prediction of the Response of Breast Tumors to Neoadjuvant Chemotherapy using Quantitative MRI and Machine Learning

Mia Levy

AMIA Annual …, 2011

View PDFchevron_right

Radiological and Pathological Predictors of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Brief Literature Review

NISHA SHARMA

Pathobiology, 2015

View PDFchevron_right

Predictors of Tumor Progression During Neoadjuvant Chemotherapy in Breast Cancer

Henry Kuerer

Journal of Clinical Oncology, 2010

View PDFchevron_right

Best Practice Neoadjuvant Chemotherapy for Breast Cancer : Unanswered Questions

Fabienne Thibault

2017

View PDFchevron_right

3T DCE-MRI Radiomics Improves Predictive Models of Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

Francesca Caumo

Frontiers in Oncology

View PDFchevron_right

Can Early Response Assessment Guide Neoadjuvant Chemotherapy in Early-Stage Breast Cancer?

Francisco Esteva

JNCI Journal of the National Cancer Institute, 2008

View PDFchevron_right

Clinicopathological Features of Tumors as Predictors of the Efficacy of Primary Neoadjuvant Chemotherapy for Operable Breast Cancer: Reply to Letter

Tadahiko Shien

World Journal of Surgery, 2009

View PDFchevron_right

Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data12

David Ekrut

Neoplasia (New York, N.Y.), 2020

View PDFchevron_right

Neoadjuvant Chemotherapy for Breast Cancer: Evolution of Clinical Practice in a French Cancer Center Over 16 Years and Pathologic Response Rates According to Tumor Subtypes and Clinical Tumor Size: Retrospective Cohort Study

Fortune Journals

View PDFchevron_right

Assessment of Predictive Markers of Response to Neoadjuvant Chemotherapy in Breast Cancer

Usha R Singh

Asian Journal of Surgery, 2010

View PDFchevron_right

Establishment and external validation of a prognostic model for predicting disease-free survival and risk stratification in breast cancer patients treated with neoadjuvant chemotherapy

jingwen peng

Cancer Management and Research, 2018

View PDFchevron_right

Neoadjuvant Treatment Approach: The Rosetta Stone for Breast Cancer?

Sandra Sigala

Journal of the National Cancer Institute. Monographs, 2015

View PDFchevron_right

Primary tumor and patient characteristics in breast cancer as predictors of adjuvant therapy regimen: a regression model

Kamyar Kahnamoui, Valerie Francescutti, Richard Tozer

Cancer Chemotherapy and Pharmacology, 2011

View PDFchevron_right

Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data

David Ekrut

Neoplasia: An International Journal for Oncology Research, 2020

View PDFchevron_right

Do breast cancer tumours downsize as well as downgrade with neoadjuvant chemotherapy?

M Dani

Breast Cancer Research, 2007

View PDFchevron_right

The Use of Molecular Breast Imaging to Assess Response in Women Undergoing Neoadjuvant Therapy for Breast Cancer

Judy Boughey

Clinical Nuclear Medicine, 2012

View PDFchevron_right

Neoadjuvant Model as a Platform for Research in Breast Cancer and Novel Targets under Development in this Field

Meritxell Bellet

Breast Care

View PDFchevron_right

Serum biomarker profiles and response to neoadjuvant chemotherapy for locally advanced breast cancer

minh luong

Breast Cancer Research, 2008

View PDFchevron_right

Molecular Biomarkers Predict Pathological Complete Response of Neoadjuvant Chemotherapy in Breast Cancer Patients: Review

Cristiano de Pádua Souza

Cancers, 2021

View PDFchevron_right

Current Approaches and Challenges in Monitoring Treatment Responses in Breast Cancer

Aviram Nissan

Journal of Cancer, 2014

View PDFchevron_right

Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI

Anant Madabhushi

Breast cancer research : BCR, 2017

View PDFchevron_right

Identifying an early treatment window for predicting breast cancer response to neoadjuvant chemotherapy using immunohistopathology and hemoglobin parameters

Liqun Wang

Breast cancer research : BCR, 2018

View PDFchevron_right

Automated Semi-Quantitative Analysis of Breast MRI: Potential Imaging Biomarker for the Prediction of Tissue Response to Neoadjuvant Chemotherapy

Pascal Baltzer

Breast Care

View PDFchevron_right

The Neoadjuvant Model is Still the Future for Drug Development in Breast Cancer

Judy Boughey

Clinical cancer research : an official journal of the American Association for Cancer Research, 2015

View PDFchevron_right

Prospective Early Response Imaging Biomarker for Neoadjuvant Breast Cancer Chemotherapy

Sheikh Amjad Zia

Clinical Cancer Research, 2007

View PDFchevron_right