Clinical imaging for the prediction of neoadjuvant chemotherapy response in breast cancer.

Breast cancer artificial intelligence (AI) elastography imaging biomarker neoadjuvant chemotherapy prediction

Journal

Chinese clinical oncology
ISSN: 2304-3873
Titre abrégé: Chin Clin Oncol
Pays: China
ID NLM: 101608375

Informations de publication

Date de publication:
06 2020
Historique:
received: 16 03 2020
accepted: 05 06 2020
entrez: 30 6 2020
pubmed: 1 7 2020
medline: 3 2 2021
Statut: ppublish

Résumé

Increased use of cancer screening, improved imaging, and diagnostic intervention techniques has led to the diagnosis of smaller cancers, including breast cancer. Most breast cancer patients receive systemic therapy, and some treatments are given before surgery, such as neoadjuvant therapy, even in an operable setting. Improved neoadjuvant chemotherapy has increased rates of pathological complete response; however, surgery is still required to determine complete tumor remission. Inadequate preoperative evaluations after neoadjuvant therapy can result in excessive surgical stress. Clinical imaging tests such as ultrasound and magnetic resonance imaging of the breast are often performed with neoadjuvant therapy. These clinical imaging techniques, in addition to measuring tumor size, have made it possible to evaluate certain functional aspects of the tumors. Herein, we review the current state of clinical imaging research focused on predicting neoadjuvant chemotherapy response in breast cancer. We also discuss the upfront prediction of treatment response before and during neoadjuvant therapy and the later prediction of pathological residual tumors, including pathological complete response, using ultrasound and magnetic resonance imaging. Upfront prediction can help decision-making and develop new treatment strategies. Predicting the localization of microscopic residual tumors may contribute to disease management without surgery, using radiation or other local treatments. Further larger studies on the prediction of neoadjuvant therapy response using clinical imaging could improve clinical practice and patient benefits.

Identifiants

pubmed: 32594748
doi: 10.21037/cco-20-15
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

31

Auteurs

Mitsuhiro Hayashi (M)

Department of Breast Surgery, Women's Center, Yotsuya Medical Cube, 7-7 Nibancho, Chiyoda-ku, Tokyo, 102-0084, Japan; Department of Breast and Endocrine Surgery, Kumamoto City Hospital, 4-1-60 Higashimachi, Higashi-ku, Kumamoto 862-8505, Japan. mitsuhayashi-ncd@umin.net.

Yutaka Yamamoto (Y)

Department of Breast and Endocrine Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan.

Hirotaka Iwase (H)

Department of Breast and Endocrine Surgery, Kumamoto City Hospital, 4-1-60 Higashimachi, Higashi-ku, Kumamoto 862-8505, Japan.

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Classifications MeSH