Abstract 332P
Background
Neoadjuvant chemotherapy (NAC) has been a standard treatment for locally advanced breast cancer (BC). However, the high heterogeneity of BC results in various tumor response. Therefore, there is a growing need for early assessment of tumor response, particularly for insensitive BC, to guide personalized treatment. We aim to develop a longitudinal radiomics multitask model to accurately predict RCB score in the early stage of NAC for breast cancer.
Methods
A total of 1048 patients with breast cancer receiving NAC across four institutions were retrospectively enrolled. We collected longitudinal MRI sequences at the pre-NAC and mid-NAC timepoints, and extracted 21804 radiomics features per patient. We used a multitask learning strategy to predict RCB score (RCB 0-I, II and III). The Mann-Whitney U-test, Spearman analysis, the least absolute shrinkage and selection operator regression and Boruta method were used to perform feature selection. We developed various base machine learning models, followed by an ensemble stacking method to integrate the base model outputs. The multitask learning model was subsequently verified in three independent external validation cohorts.
Results
Of the total patients, 442 (42.18%) reached RCB 0-I, 462 (44.08%) reached RCB II and 144 (13.74%) reached RCB III. 17 and 19 significant features were selected for two independent tasks. For identifying RCB 0-I and RCB II-III, the multitask model reached an area under the curve (AUC) of 0.932 in primary cohort, and AUCs of 0.890, 0.919 and 0.911 in the external validation cohorts. It also identified RCB II and RCB III with an AUC of 0.916 in primary cohort, and AUCs of 0.870, 0.899 and 0.871 in external validation cohorts.
Conclusions
The longitudinal radiomics multitask learning model is a noninvasive tool to predict RCB score for breast cancer, and help clinical decision-making in the early stage of NAC.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
252P - Adjuvant chemotherapy in T1a/bN0 breast cancer patients with high oncotype DX recurrence scores (RS>25)
Presenter: Daniela Katz
Session: Poster session 02
253P - Is 6-weekly administration of pembrolizumab in combination with chemotherapy for early triple-negative breast cancer safe? A real-world early comparison of q6w versus q3w administration of pembrolizumab in two large cancer centres in the UK
Presenter: Vasileios Angelis
Session: Poster session 02
254P - Effects of delaying adjuvant chemotherapy initiation on clinical outcomes in early triple-negative breast cancer patients
Presenter: Maria Eleni Hatzipanagiotou
Session: Poster session 02
255P - Prognostic stratification capacity of the CPS+EG scoring system in HER2-low and HER2-zero early breast cancer treated with neoadjuvant chemotherapy
Presenter: Nicolas Roussot
Session: Poster session 02
256P - Evolution and risk stratification of adjuvant treatment strategies for early breast cancer: A Chinese perspective based on a national cancer database
Presenter: Ying Fan
Session: Poster session 02
257P - The characteristics of HER2-positive microinvasive breast cancer and the necessity of chemotherapy and anti-HER2 therapy in these patients: A real-world study
Presenter: Bo Lan
Session: Poster session 02
258P - Cost-effectiveness of neoadjuvant pembrolizumab plus chemotherapy followed by adjuvant pembrolizumab for high-risk early-stage triple-negative breast cancer in Colombia
Presenter: Ricardo Brugés Maya
Session: Poster session 02
259P - Adjuvant doxorubicin-cyclophosphamide in early-stage breast cancer provides long-term cardiac safety
Presenter: Thiti Susiriwatananont
Session: Poster session 02
260P - Oncology efficacy of gonadotropin-releasing hormone agonist in hormone receptor-positive very young breast cancer patients treated with neoadjuvant chemotherapy
Presenter: Hee Jun Choi
Session: Poster session 02
261P - Dysregulation of immune checkpoint proteins in newly- diagnosed early breast cancer patients undergoing neoadjuvant chemotherapy: A comparison between TNBC and non-TNBC patients
Presenter: Bernardo Rapoport
Session: Poster session 02