Exploring the added value of pretherapeutic MR descriptors in predicting breast cancer pathologic complete response to neoadjuvant chemotherapy.
Caroline MalhaireFatine SelhaneMarie-Judith Saint-MartinVincent CockenpotPia AklEnora LaasAudrey BellesoeurCatherine Ala EddineMelodie Bereby-KahaneJulie ManceauDelphine Sebbag-SfezJean-Yves PiergaFabien ReyalAnne Vincent-SalomonHerve BrisseFrederique FrouinPublished in: European radiology (2023)
• Unifocality and non-spiculated margins are independently associated with pCR at multivariable logistic regression analysis. • Breast edema score is associated with MR tumor size and TIL expression, not only in TN BC as previously reported, but also in luminal BC. • Adding significant MRI features to clinicobiological variables in machine learning classifiers significantly increased sensitivity, specificity, and precision for pCR prediction.
Keyphrases
- neoadjuvant chemotherapy
- contrast enhanced
- locally advanced
- machine learning
- lymph node
- sentinel lymph node
- poor prognosis
- magnetic resonance imaging
- magnetic resonance
- rectal cancer
- real time pcr
- squamous cell carcinoma
- artificial intelligence
- diffusion weighted imaging
- early stage
- binding protein
- young adults
- structural basis