Paper Details 
Original Abstract of the Article :
Better markers of early response to neoadjuvant chemotherapy (NACT) in patients with breast cancer are required to enable the timely identification of non-responders and reduce unnecessary treatment side-effects. Early functional imaging may better predict response to treatment than conventional mea...See full text at original site
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引用元:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248209/

データ提供:米国国立医学図書館(NLM)

Predicting response to breast cancer chemotherapy

Breast cancer is a complex disease, and finding the best treatment for each patient is crucial. Neoadjuvant chemotherapy is often used to shrink tumors before surgery, but it's not always clear how well each patient will respond. This study investigates the potential of using MRI to measure tumor blood flow as a way to predict how well patients will respond to chemotherapy. It's like having a crystal ball to see into the future of the treatment!

Early blood flow changes may indicate response to chemotherapy

The research suggests that changes in tumor blood flow after one cycle of chemotherapy may be a good predictor of how well the tumor will shrink. This could help doctors identify patients who are not responding to treatment early on, allowing them to adjust their treatment plans and potentially improve outcomes.

Personalized medicine for breast cancer

This study is a step towards personalized medicine in breast cancer treatment. By using advanced imaging techniques like MRI, doctors can gain a deeper understanding of each patient's unique tumor and predict how it will respond to specific treatments. This allows for more tailored treatment plans, potentially leading to better outcomes and a higher quality of life for patients.

Dr.Camel's Conclusion

This study is like a desert explorer using a new compass to navigate the complexities of breast cancer treatment. By understanding how tumor blood flow changes in response to chemotherapy, doctors can make more informed decisions and guide patients towards the best possible treatment plan. This research marks a promising step toward personalized medicine for breast cancer, allowing for more effective treatment and a brighter future for patients.

Date :
  1. Date Completed 2021-06-28
  2. Date Revised 2022-04-24
Further Info :

Pubmed ID

34106751

DOI: Digital Object Identifier

PMC8248209

Related Literature

SNS
PICO Info
in preparation
Languages

English

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