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Updated: Jul 29, 2025

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo

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Published on: February 6, 2015

ACR Appropriateness Criteria® Monitoring Response to Neoadjuvant Systemic Therapy for Breast Cancer: 2022 Update.

, Jessica H Hayward¹, Olivia E Linden²

¹University of California, San Francisco, San Francisco, California.

Journal of the American College of Radiology : JACR

|May 26, 2023

Summary

This guideline details imaging for breast cancer during neoadjuvant chemotherapy. It ensures accurate response assessment for treatment decisions, utilizing evidence-based criteria.

Keywords:

AUC Appropriate Use Criteria Appropriateness Criteria MRI breast cancer digital mammography neoadjuvant chemotherapy ultrasound

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Monitoring of Nanodrug Accumulation in Murine Breast Cancer Metastases

Monitoring of Nanodrug Accumulation in Murine Breast Cancer Metastases

Published on: August 23, 2024

Area of Science:

Radiology
Oncology

Background:

Accurate imaging is crucial for assessing breast cancer response to neoadjuvant chemotherapy.
Treatment decisions are heavily influenced by the evaluation of therapeutic efficacy.

Framework:

Presents evidence-based guidelines for breast cancer imaging before, during, and after neoadjuvant chemotherapy.
Developed by the American College of Radiology Appropriateness Criteria, reviewed by a multidisciplinary panel.
Utilizes systematic literature analysis and established methodologies like GRADE for evidence evaluation.

Implementation:

Employs the RAND/UCLA Appropriateness Method to determine the suitability of imaging and treatment procedures.
Guidelines are reviewed annually to incorporate the latest medical evidence.
Expert opinion serves as a primary source when peer-reviewed literature is limited or inconclusive.

Implications:

Facilitates standardized and evidence-based imaging practices in neoadjuvant chemotherapy for breast cancer.
Aims to optimize patient management and treatment strategies through accurate response assessment.
Enhances clinical decision-making by providing a robust framework for interpreting imaging findings.