4.6 Article

Radiomics of MRI for the Prediction of the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer Patients: A Single Referral Centre Analysis

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Radiology, Nuclear Medicine & Medical Imaging

MRI Radiomics for Assessment of Molecular Subtype, Pathological Complete Response, and Residual Cancer Burden in Breast Cancer Patients Treated With Neoadjuvant Chemotherapy

Sadia Choudhery et al.

Summary: This study extracted volumetric pretreatment MRI radiomics features in breast cancer patients and found that these features were associated with different molecular subtypes, pathological complete response, and residual cancer burden.

ACADEMIC RADIOLOGY (2022)

Article Oncology

Contrast-Enhanced Spectral Mammography-Based Radiomics Nomogram for the Prediction of Neoadjuvant Chemotherapy-Insensitive Breast Cancers

Zhongyi Wang et al.

Summary: A radiomics nomogram incorporating CESM-derived radiomics features and clinical parameters was developed to predict NAC-insensitive breast cancers before treatment. The nomogram showed good discrimination and clinical usefulness in both the training and validation sets, indicating its potential feasibility for predicting NAC sensitivity in breast cancers.

FRONTIERS IN ONCOLOGY (2021)

Article Oncology

Inter-Reader Agreement of Diffusion-Weighted Magnetic Resonance Imaging for Breast Cancer Detection: A Multi-Reader Retrospective Study

Filippo Pesapane et al.

Summary: The study evaluated the difference in inter-reader reproducibility of DWI technology for breast cancer detection between expert and non-expert readers. The results showed better agreement among expert readers and poor agreement among non-expert readers, suggesting that the application of DWI in breast MRI requires a higher level of cognitive ability from expert readers.

CANCERS (2021)

Review Oncology

Recent Radiomics Advancements in Breast Cancer: Lessons and Pitfalls for the Next Future

Filippo Pesapane et al.

Summary: Radiomics is a new field of medicine that extracts high-dimensional data from radiological images for applications in breast cancer diagnosis, prognosis, and treatment response evaluation. Despite advancements in tumor research, challenges still exist for the clinical translation of radiomics.

CURRENT ONCOLOGY (2021)

Article Oncology

Double reading of diffusion-weighted magnetic resonance imaging for breast cancer detection

Anna Rotili et al.

BREAST CANCER RESEARCH AND TREATMENT (2020)

Article Radiology, Nuclear Medicine & Medical Imaging

Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions

Qian Zhang et al.

JOURNAL OF MAGNETIC RESONANCE IMAGING (2020)

Article Radiology, Nuclear Medicine & Medical Imaging

PETER PHAN: An MRI phantom for the optimisation of radiomic studies of the female pelvis

Linda Bianchini et al.

PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS (2020)

Review Radiology, Nuclear Medicine & Medical Imaging

Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives

Ji Eun Park et al.

KOREAN JOURNAL OF RADIOLOGY (2019)

Review Radiology, Nuclear Medicine & Medical Imaging

Precision Medicine and Radiogenomics in Breast Cancer: New Approaches toward Diagnosis and Treatment

Katja Pinker et al.

RADIOLOGY (2018)

Review Oncology

Tracking tumor biology with radiomics: A systematic review utilizing a radiomics quality score

Sebastian Sanduleanu et al.

RADIOTHERAPY AND ONCOLOGY (2018)

Editorial Material Health Care Sciences & Services

Validation in prediction research: the waste by data splitting COMMENTARY

Ewout W. Steyerberg

JOURNAL OF CLINICAL EPIDEMIOLOGY (2018)

Review Oncology

Breast Cancer, Version 4.2017 Clinical Practice Guidelines in Oncology

William J. Gradishar et al.

JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK (2018)

Article Radiology, Nuclear Medicine & Medical Imaging

Radiomic analysis of DCE-MRI for prediction of response to neoadjuvant chemotherapy in breast cancer patients

Ming Fan et al.

EUROPEAN JOURNAL OF RADIOLOGY (2017)

Article Oncology

Computational Radiomics System to Decode the Radiographic Phenotype

Joost J. M. van Griethuysen et al.

CANCER RESEARCH (2017)

Article Radiology, Nuclear Medicine & Medical Imaging

Magnetic resonance imaging texture analysis classification of primary breast cancer

S. A. Waugh et al.

EUROPEAN RADIOLOGY (2016)

Review Radiology, Nuclear Medicine & Medical Imaging

Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

Fergus Davnall et al.

INSIGHTS INTO IMAGING (2012)

Review Oncology

Ki67 in breast cancer: prognostic and predictive potential

Rinat Yerushalmi et al.

LANCET ONCOLOGY (2010)