FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379329538> ?p ?o ?g. }

• W4379329538 endingPage "e12614" @default.
• W4379329538 startingPage "e12614" @default.
• W4379329538 abstract "e12614 Background: Tumor response to neoadjuvant therapy (NAT) in patients with breast cancer is related to perfusion in the tumor microenvironment and surrounding tissue. Direct and indirect measures of microvascular (MV) permeability could improve the ability to predict short- and long-term patient outcomes. Detection and quantification of circulating tumor DNA (ctDNA) is one such measurement that depends on microvasculature and has been shown to strongly correlate with both response to therapy and overall prognosis in a wide range of cancers. We hypothesized that a combination of ctDNA and numerical computations of MV permeability using pretreatment dynamic contrast-enhanced (DCE) MRI images (MV maps) can predict patient response to NAT and long-term survival outcomes. Here, we show how MV maps — computed from standard-of-care (SOC) imaging — improve upon ctDNA measurements in predicting pathologic complete response (pCR) following NAT as well as distant recurrence free survival (DRFS). Methods: DCE-MRIs were obtained for a sub-sample of I-SPY2 patients (n = 81) whose ctDNA levels were previously reported (Magbanua et al 2021). Tumors were segmented from pretreatment images by a convolutional neural network with manual verification. MV maps were computed using a Tofts-like model to describe the transfer kinetics between microvasculature and extracellular extravascular space. Microvasculature parameters (MVPs), such as median and skewness, were extracted from MV maps to describe the distribution of kinetic parameters in the intra- and peritumoral regions. Logistic regression was used to predict pCR with leave-one-out cross validation. Univariate Cox models were used to stratify DRFS. Results: MVPs exhibited a moderate correlation with pretreatment ctDNA levels (Spearman rho = -0.26; p = 0.018) and with pCR status in this cohort (rho = 0.25; p = 0.026). In a series of logistic regression models, a combination of SOC clinical features and ctDNA levels correctly classified 23% of true pCRs, with an F1 score of 0.58. This predictive power increased when informed by MV maps; 45% of true pCRs were identified after the addition of MVPs, and the F1 score increased to 0.68. In univariate Cox models, 24 MVPs significantly stratified DRFS (p < 0.05) when uncorrected for multiple hypothesis testing bias. The top MVP carried a hazard ratio 3.8 (95%CI 1.6 - 9.0) compared to 11.9 (95%CI 2.7 - 53.6) for ctDNA levels. Conclusions: DCE-MRI-derived kinetic features are calculated from SOC images with no additional clinical intervention. We found that MVPs substantially improve pCR prediction when added to models trained on ctDNA levels and clinical features. ctDNA levels and MVPs were predictive of DRFS to differing degrees of confidence. Although further validation in larger datasets is needed, this exploratory analysis uncovered a promising role for MV maps in predicting response to NAT as well as patient outcomes." @default.
• W4379329538 created "2023-06-05" @default.
• W4379329538 creator A5013297291 @default.
• W4379329538 creator A5013320702 @default.
• W4379329538 creator A5014348069 @default.
• W4379329538 creator A5074667589 @default.
• W4379329538 creator A5075408210 @default.
• W4379329538 creator A5088800372 @default.
• W4379329538 date "2023-06-01" @default.
• W4379329538 modified "2023-09-25" @default.
• W4379329538 title "DCE-MRI-derived microvasculature mapping and outcome prediction in patients with breast cancer." @default.
• W4379329538 doi "https://doi.org/10.1200/jco.2023.41.16_suppl.e12614" @default.
• W4379329538 hasPublicationYear "2023" @default.
• W4379329538 type Work @default.
• W4379329538 citedByCount "0" @default.
• W4379329538 crossrefType "journal-article" @default.
• W4379329538 hasAuthorship W4379329538A5013297291 @default.
• W4379329538 hasAuthorship W4379329538A5013320702 @default.
• W4379329538 hasAuthorship W4379329538A5014348069 @default.
• W4379329538 hasAuthorship W4379329538A5074667589 @default.
• W4379329538 hasAuthorship W4379329538A5075408210 @default.
• W4379329538 hasAuthorship W4379329538A5088800372 @default.
• W4379329538 hasConcept C121608353 @default.
• W4379329538 hasConcept C126322002 @default.
• W4379329538 hasConcept C126838900 @default.
• W4379329538 hasConcept C142724271 @default.
• W4379329538 hasConcept C143409427 @default.
• W4379329538 hasConcept C143998085 @default.
• W4379329538 hasConcept C144301174 @default.
• W4379329538 hasConcept C2989005 @default.
• W4379329538 hasConcept C38180746 @default.
• W4379329538 hasConcept C530470458 @default.
• W4379329538 hasConcept C71924100 @default.
• W4379329538 hasConceptScore W4379329538C121608353 @default.
• W4379329538 hasConceptScore W4379329538C126322002 @default.
• W4379329538 hasConceptScore W4379329538C126838900 @default.
• W4379329538 hasConceptScore W4379329538C142724271 @default.
• W4379329538 hasConceptScore W4379329538C143409427 @default.
• W4379329538 hasConceptScore W4379329538C143998085 @default.
• W4379329538 hasConceptScore W4379329538C144301174 @default.
• W4379329538 hasConceptScore W4379329538C2989005 @default.
• W4379329538 hasConceptScore W4379329538C38180746 @default.
• W4379329538 hasConceptScore W4379329538C530470458 @default.
• W4379329538 hasConceptScore W4379329538C71924100 @default.
• W4379329538 hasIssue "16_suppl" @default.
• W4379329538 hasLocation W43793295381 @default.
• W4379329538 hasOpenAccess W4379329538 @default.
• W4379329538 hasPrimaryLocation W43793295381 @default.
• W4379329538 hasRelatedWork W1999960801 @default.
• W4379329538 hasRelatedWork W2224319365 @default.
• W4379329538 hasRelatedWork W2365364931 @default.
• W4379329538 hasRelatedWork W2418638721 @default.
• W4379329538 hasRelatedWork W2514715810 @default.
• W4379329538 hasRelatedWork W3029022581 @default.
• W4379329538 hasRelatedWork W3160736738 @default.
• W4379329538 hasRelatedWork W3196332669 @default.
• W4379329538 hasRelatedWork W377899687 @default.
• W4379329538 hasRelatedWork W4220726198 @default.
• W4379329538 hasVolume "41" @default.
• W4379329538 isParatext "false" @default.
• W4379329538 isRetracted "false" @default.
• W4379329538 workType "article" @default.