Abstract
Introduction: The early identification of good responders to neoadjuvant chemotherapy (NACT) holds a significant potential in the optimal treatment of breast cancer. A recent Bayesian approach has been postulated to improve the accuracy of the intravoxel incoherent motion (IVIM) model for clinical translation. This study examined the prediction and early sensitivity of Bayesian IVIM to NACT response. Materials and methods: Seventeen female patients with breast cancer were scanned at baseline and 16 patients were scanned after Cycle 1. Tissue diffusion and perfusion from Bayesian IVIM were calculated at baseline with percentage change at Cycle 1 computed with reference to baseline. Cellular proliferative activity marker Ki-67 was obtained semi-quantitatively with percentage change at excision computed with reference to core biopsy. Results: The perfusion fraction showed a significant difference (p = 0.042) in percentage change between responder groups at Cycle 1, with a decrease in good responders [−7.98% (−19.47–1.73), n = 7] and an increase in poor responders [10.04% (5.09–28.93), n = 9]. There was a significant correlation between percentage change in perfusion fraction and percentage change in Ki-67 (p = 0.042). Tissue diffusion and pseudodiffusion showed no significant difference in percentage change between groups at Cycle 1, nor was there a significant correlation against percentage change in Ki-67. Perfusion fraction, tissue diffusion, and pseudodiffusion showed no significant difference between groups at baseline, nor was there a significant correlation against Ki-67 from core biopsy. Conclusion: The alteration in tumour perfusion fraction from the Bayesian IVIM model, in association with cellular proliferation, showed early sensitivity to good responders in NACT. Clinical trial registration: https://clinicaltrials.gov/ct2/show/NCT03501394, identifier NCT03501394.
| Original language | English |
|---|---|
| Article number | 1277556 |
| Number of pages | 12 |
| Journal | Frontiers in Oncology |
| Volume | 13 |
| DOIs | |
| Publication status | Published - 6 Dec 2023 |
Bibliographical note
Funding Information:The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The study was jointly funded by the National Health Service Grampian Endowment Research Fund (16/11/047), Friends of Aberdeen and North Centre for Haematology, Oncology and Radiotherapy (RS17 004) and Tenovus Scotland (G16.09). SMC PhD study was jointly supported by Elphinstone scholarship, Roland Sutton Academic Trust and John Mallard scholarship and is currently funded by Cancer Research UK (C68628/A28312). NS PhD study was supported by Biotechnology and Biological Sciences Research Council (1654748, BB/M010996/1). The funding sources were not involved in the study design, in the collection, analysis and interpretation of data, in the writing of the report nor in the decision to submit the article for publication.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/ onc.2023.1277556/full#supplementary-material
Keywords
- cellularity
- diffusion
- microcirculation
- pathological response
- perfusion fraction
Access to Document
- Cheung_etal_FiO_Towards_Detection_of_VOR
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