Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer-Reference-Cited by-同舟云学术

Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer

Published:2023 Issue:5 Volume:24 Page:384
ISSN:1229-6929
Container-title:Korean Journal of Radiology
language:en
Short-container-title:Korean J Radiol

Author:

Ahn Jee Hyun¹^ORCID,Go Jieon¹^ORCID,Lee Suk Jun¹^ORCID,Kim Jee Ye¹^ORCID,Park Hyung Seok¹^ORCID,Kim Seung Il¹^ORCID,Park Byeong-Woo¹^ORCID,Park Vivian Youngjean²^ORCID,Yoon Jung Hyun²^ORCID,Kim Min Jung²^ORCID,Park Seho¹^ORCID

Affiliation:

1. Division of Breast Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.

2. Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea.

Funder

Yonsei University College of Medicine

Korea Medical Device Development Fund

National Research Foundation of Korea

Publisher

XMLink

Subject

Radiology, Nuclear Medicine and imaging

Link

https://kjronline.org/pdf/10.3348/kjr.2022.0629

Reference28 articles.

1. Estimating the benefits of therapy for early-stage breast cancer: the St. Gallen International Consensus Guidelines for the primary therapy of early breast cancer 2019

2. Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis

3. Recommendations from an International Consensus Conference on the Current Status and Future of Neoadjuvant Systemic Therapy in Primary Breast Cancer

4. International Expert Consensus on Primary Systemic Therapy in the Management of Early Breast Cancer: Highlights of the Fifth Symposium on Primary Systemic Therapy in the Management of Operable Breast Cancer, Cremona, Italy (2013)

5. Recent Advances in the Neoadjuvant Treatment of Breast Cancer

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ultrasound-Based Deep Learning Radiomics Nomogram for Tumor and Axillary Lymph Node Status Prediction After Neoadjuvant Chemotherapy;Academic Radiology;2024-08

2. Mammographic density changes after neoadjuvant chemotherapy in triple-negative breast cancer: Association with treatment and survival outcome;Clinical Imaging;2024-05

3. Mammographic Breast Density and Utility in Breast Cancer Screening and Clinical Decision-Making;Interdisciplinary Cancer Research;2024

4. Ultrasound-based deep learning radiomics nomogram for comprehensive prediction of tumor, axillary lymph node status and prognosis of breast cancer patients after neoadjuvant chemotherapy;2023-12-28