Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313235938> ?p ?o ?g. }
- W4313235938 endingPage "36" @default.
- W4313235938 startingPage "36" @default.
- W4313235938 abstract "Background: The incidence of breast cancer metastasis has decreased over the years. However, 20–30% of patients with early breast cancer still die from metastases. The purpose of this study is to evaluate the performance of a Deep Learning Convolutional Neural Networks (CNN) model to predict the risk of distant metastasis using 3T-MRI DCE sequences (Dynamic Contrast-Enhanced). Methods: A total of 157 breast cancer patients who underwent staging 3T-MRI examinations from January 2011 to July 2022 were retrospectively examined. Patient data, tumor histological and MRI characteristics, and clinical and imaging follow-up examinations of up to 7 years were collected. Of the 157 MRI examinations, 39/157 patients (40 lesions) had distant metastases, while 118/157 patients (120 lesions) were negative for distant metastases (control group). We analyzed the role of the Deep Learning technique using a single variable size bounding box (SVB) option and employed a Voxel Based (VB) NET CNN model. The CNN performance was evaluated in terms of accuracy, sensitivity, specificity, and area under the ROC curve (AUC). Results: The VB-NET model obtained a sensitivity, specificity, accuracy, and AUC of 52.50%, 80.51%, 73.42%, and 68.56%, respectively. A significant correlation was found between the risk of distant metastasis and tumor size, and the expression of PgR and HER2. Conclusions: We demonstrated a currently insufficient ability of the Deep Learning approach in predicting a distant metastasis status in patients with BC using CNNs." @default.
- W4313235938 created "2023-01-06" @default.
- W4313235938 creator A5003216983 @default.
- W4313235938 creator A5015479388 @default.
- W4313235938 creator A5031057407 @default.
- W4313235938 creator A5034569772 @default.
- W4313235938 creator A5041066402 @default.
- W4313235938 creator A5042081469 @default.
- W4313235938 creator A5053711895 @default.
- W4313235938 creator A5066560541 @default.
- W4313235938 creator A5072499317 @default.
- W4313235938 creator A5084631519 @default.
- W4313235938 creator A5090709130 @default.
- W4313235938 date "2022-12-21" @default.
- W4313235938 modified "2023-10-05" @default.
- W4313235938 title "3T-MRI Artificial Intelligence in Patients with Invasive Breast Cancer to Predict Distant Metastasis Status: A Pilot Study" @default.
- W4313235938 cites W1596105818 @default.
- W4313235938 cites W2006986876 @default.
- W4313235938 cites W2008263659 @default.
- W4313235938 cites W2017403658 @default.
- W4313235938 cites W2028672331 @default.
- W4313235938 cites W2075570906 @default.
- W4313235938 cites W2087595493 @default.
- W4313235938 cites W2096738564 @default.
- W4313235938 cites W2128739912 @default.
- W4313235938 cites W2149319883 @default.
- W4313235938 cites W2497572040 @default.
- W4313235938 cites W2769883007 @default.
- W4313235938 cites W2778515750 @default.
- W4313235938 cites W2801749275 @default.
- W4313235938 cites W2899471886 @default.
- W4313235938 cites W2919115771 @default.
- W4313235938 cites W2922025113 @default.
- W4313235938 cites W2964656561 @default.
- W4313235938 cites W3022917318 @default.
- W4313235938 cites W3081903467 @default.
- W4313235938 cites W3089829405 @default.
- W4313235938 cites W3091338376 @default.
- W4313235938 cites W3137192559 @default.
- W4313235938 cites W3162870502 @default.
- W4313235938 cites W3186895752 @default.
- W4313235938 cites W3201129675 @default.
- W4313235938 cites W3201475292 @default.
- W4313235938 cites W3206375534 @default.
- W4313235938 cites W4296897713 @default.
- W4313235938 doi "https://doi.org/10.3390/cancers15010036" @default.
- W4313235938 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36612033" @default.
- W4313235938 hasPublicationYear "2022" @default.
- W4313235938 type Work @default.
- W4313235938 citedByCount "0" @default.
- W4313235938 crossrefType "journal-article" @default.
- W4313235938 hasAuthorship W4313235938A5003216983 @default.
- W4313235938 hasAuthorship W4313235938A5015479388 @default.
- W4313235938 hasAuthorship W4313235938A5031057407 @default.
- W4313235938 hasAuthorship W4313235938A5034569772 @default.
- W4313235938 hasAuthorship W4313235938A5041066402 @default.
- W4313235938 hasAuthorship W4313235938A5042081469 @default.
- W4313235938 hasAuthorship W4313235938A5053711895 @default.
- W4313235938 hasAuthorship W4313235938A5066560541 @default.
- W4313235938 hasAuthorship W4313235938A5072499317 @default.
- W4313235938 hasAuthorship W4313235938A5084631519 @default.
- W4313235938 hasAuthorship W4313235938A5090709130 @default.
- W4313235938 hasBestOaLocation W43132359381 @default.
- W4313235938 hasConcept C120665830 @default.
- W4313235938 hasConcept C121332964 @default.
- W4313235938 hasConcept C121608353 @default.
- W4313235938 hasConcept C126322002 @default.
- W4313235938 hasConcept C126838900 @default.
- W4313235938 hasConcept C143998085 @default.
- W4313235938 hasConcept C154945302 @default.
- W4313235938 hasConcept C2779013556 @default.
- W4313235938 hasConcept C3019926457 @default.
- W4313235938 hasConcept C41008148 @default.
- W4313235938 hasConcept C530470458 @default.
- W4313235938 hasConcept C61511704 @default.
- W4313235938 hasConcept C71924100 @default.
- W4313235938 hasConcept C81363708 @default.
- W4313235938 hasConceptScore W4313235938C120665830 @default.
- W4313235938 hasConceptScore W4313235938C121332964 @default.
- W4313235938 hasConceptScore W4313235938C121608353 @default.
- W4313235938 hasConceptScore W4313235938C126322002 @default.
- W4313235938 hasConceptScore W4313235938C126838900 @default.
- W4313235938 hasConceptScore W4313235938C143998085 @default.
- W4313235938 hasConceptScore W4313235938C154945302 @default.
- W4313235938 hasConceptScore W4313235938C2779013556 @default.
- W4313235938 hasConceptScore W4313235938C3019926457 @default.
- W4313235938 hasConceptScore W4313235938C41008148 @default.
- W4313235938 hasConceptScore W4313235938C530470458 @default.
- W4313235938 hasConceptScore W4313235938C61511704 @default.
- W4313235938 hasConceptScore W4313235938C71924100 @default.
- W4313235938 hasConceptScore W4313235938C81363708 @default.
- W4313235938 hasIssue "1" @default.
- W4313235938 hasLocation W43132359381 @default.
- W4313235938 hasLocation W43132359382 @default.
- W4313235938 hasLocation W43132359383 @default.
- W4313235938 hasLocation W43132359384 @default.
- W4313235938 hasOpenAccess W4313235938 @default.
- W4313235938 hasPrimaryLocation W43132359381 @default.