<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>14(12)</volume><submitter>Wen X</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Accurate assessment of pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer (BC) is crucial for mitigating chemotherapy-related toxicity in patients who do not respond to the treatment. Conventional ultrasound (US) has become a pivotal method for evaluating treatment response due to its cost-effectiveness, convenience, and absence of ionizing radiation. The objective of this study was to develop a model combining US and clinicopathological characteristics at baseline, as well as US features after one cycle of NAC, to predict the pCR to NAC in BC.&lt;h4>Methods&lt;/h4>This retrospective study included 74 patients with invasive BC who underwent NAC from January 2022 to December 2023. Data from US and clinicopathological characteristics before N</pubmed_abstract><journal>Quantitative imaging in medicine and surgery</journal><pagination>8840-8851</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11652014</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Model based on ultrasound and clinicopathological characteristics for early prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer.</pubmed_title><pmcid>PMC11652014</pmcid><pubmed_authors>Deng B</pubmed_authors><pubmed_authors>Wen X</pubmed_authors><pubmed_authors>Chen J</pubmed_authors><pubmed_authors>Lin Y</pubmed_authors><pubmed_authors>Su Z</pubmed_authors><pubmed_authors>Zhong J</pubmed_authors><pubmed_authors>Zhuang Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Model based on ultrasound and clinicopathological characteristics for early prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer.</name><description>&lt;h4>Background&lt;/h4>Accurate assessment of pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer (BC) is crucial for mitigating chemotherapy-related toxicity in patients who do not respond to the treatment. Conventional ultrasound (US) has become a pivotal method for evaluating treatment response due to its cost-effectiveness, convenience, and absence of ionizing radiation. The objective of this study was to develop a model combining US and clinicopathological characteristics at baseline, as well as US features after one cycle of NAC, to predict the pCR to NAC in BC.&lt;h4>Methods&lt;/h4>This retrospective study included 74 patients with invasive BC who underwent NAC from January 2022 to December 2023. Data from US and clinicopathological characteristics before N</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Dec</publication><modification>2025-04-03T23:08:49.446Z</modification><creation>2025-04-03T23:08:49.446Z</creation></dates><accession>S-EPMC11652014</accession><cross_references><pubmed>39698713</pubmed><doi>10.21037/qims-24-1268</doi></cross_references></HashMap>