MRI for Predicting Response and 10-Year Outcome of Neoadjuvant Chemotherapy with or Without Additional Bevacizumab Treatment in HER2-Negative Breast Cancer
Authors:
- Siri Helene Bertelsen BrandalSiri Helene Bertelsen Brandal
- Torgeir MoTMTorgeir Mo
- Anne FangbergetAFAnne Fangberget
- Line Brennhaug NilsenLNLine Brennhaug Nilsen
- Oliver Marcel GeierOGOliver Marcel Geier
- Hilde BjørndalHBHilde Bjørndal
- Marit Muri HolmenMHMarit Muri Holmen
- Olav EngebråtenOEOlav Engebråten
- Øystein GarredØGØystein Garred
- Knut Håkon HoleKHKnut Håkon Hole
- Therese SeierstadTSTherese Seierstad
Open Access
Abstract
Objectives: To explore if MRI can monitor treatment and predict outcome in patients with human epidermal growth factor 2 (HER2)-negative breast cancer receiving neoadjuvant chemotherapy (NACT) with or without bevacizumab. Methods: Multiparametric MRI was performed at baseline and after 12 and 25 weeks of NACT. MRI assessment included tumour size, apparent diffusion coefficient (ADC) from diffusion-weighted imaging (DWI), and signal intensity–time curves and vascular volume transfer constant (KTRANS) from dynamic contrast-enhanced MRI (DCE). The reference standards were pathological complete response (pCR) at the time of surgery, and 10-year recurrence-free survival. Receiver operating characteristics analyses were performed to assess the predictive value of the MRI parameters. MRI findings and outcomes were compared between the treatment groups. Results: Seventy women were included from November 2008 to July 2012, with a median age of 49.5 years and median tumour diameter of 47 mm. Fourteen patients (20.0%) achieved pCR, while eleven (15.7%) had recurrence during the 10-year follow-up. The treatment significantly reduced tumour size, increased ADC, decreased KTRANS, and shifted the signal intensity–time curves towards more benign shapes. The DCE parameters changed significantly more in the bevacizumab group. In the bevacizumab group, baseline KTRANS predicted pCR (Area under curve (AUC) = 0.73), but the difference in pCR-rates between the treatment groups was not significant (p = 0.07). Only tumour size and shrinkage at 12 weeks predicted pCR (AUC = 0.71–0.85) regardless of size measuring method. No MRI parameters predicted survival. Conclusions: All MRI parameters reflected treatment response, but no parameter predicted survival or benefit from adding bevacizumab to chemotherapy.Keywords
Funding Information
- Pink Ribbon Movement and Norwegian Breast Cancer Society (11003001)
- Norges Forskningsråd (191436/V50)
- Helse Sør-Øst RHF (2021016)
- Roche Norway (847912)
This publication has 47 references indexed in Scilit:
- Imaging evaluation of neoadjuvant breast cancer treatment: where do we stand?European Radiology, 2024
- Assessment of early treatment response to neoadjuvant chemotherapy in breast cancer using non-mono-exponential diffusion models: a feasibility study comparing the baseline and mid-treatment MRI examinationsEuropean Radiology, 2016
- Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancerEuropean Radiology, 2016
- Prognostic value of DCE-MRI in breast cancer patients undergoing neoadjuvant chemotherapy: a comparison with traditional survival indicatorsEuropean Radiology, 2014
- Pre-treatment differences and early response monitoring of neoadjuvant chemotherapy in breast cancer patients using magnetic resonance imaging: a systematic reviewEuropean Radiology, 2012
- Neoadjuvant chemotherapy in breast cancer-response evaluation and prediction of response to treatment using dynamic contrast-enhanced and diffusion-weighted MR imagingEuropean Radiology, 2010
- Breast MRI: guidelines from the European Society of Breast ImagingEuropean Radiology, 2008
- Dynamic MRI with projection reconstruction and KWIC processing for simultaneous high spatial and temporal resolutionMagnetic Resonance in Medicine, 2004
- Assessing changes in tumour vascular function using dynamic contrast‐enhanced magnetic resonance imagingNMR in Biomedicine, 2002
- Estimating kinetic parameters from dynamic contrast-enhanced t1-weighted MRI of a diffusable tracer: Standardized quantities and symbolsJournal of Magnetic Resonance Imaging, 1999