English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Monitoring Neoadjuvant chemotherapy (NAC) effects is necessary to captureresistant patients and stop or change treatment. The aim of this study was toassess the tumor response at an early stage, after the first doses of the NAC,based on the variability of the backscattered ultrasound energy, andbackscatter statistics. The backscatter statistics has not previously been usedto monitor NAC effects. The B-mode ultrasound images and raw radio frequencydata from breast tumors were obtained using an ultrasound scanner beforechemotherapy and 1 week after each NAC cycle. Twenty-four malignant breastcancers, qualified for neoadjuvant treatment before surgery, were included inthe study. The shape parameter of the homodyned K distribution and integratedbackscatter, along with the tumor size in the longest dimension, weredetermined based on ultrasound data and used as markers for NAC response.Cancer tumors were assigned to responding and non-responding groups, accordingto histopathological evaluation, which was a reference in assessing the utilityof markers. Statistical analysis was performed to rate the ability of markersto predict NAC response based on data obtained after subsequent therapeuticdoses. Statistically significant differences between groups were obtained after2, 3, 4, and 5 doses of NAC for quantitative ultrasound markers and after 5doses for the assessment based on maximum tumor dimension. After the second andthird NAC courses the marker, which was a linear combination of bothquantitative ultrasound parameters, was characterized by an AUC of 0.82 and0.91, respectively. The introduction of statistical parameters of ultrasonicbackscatter to monitor the effects of chemotherapy can increase theeffectiveness of monitoring and contribute to a better personalization of NACtherapy.

Monitoring breast cancer response to neoadjuvant chemotherapy with ultrasound signal statistics and integrated backscatter