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ePoster Display

219P - Accuracy of MRI to assess response after neoadjuvant chemotherapy according to immunohistochemical breast cancer subtypes: A systematic review and meta-analysis

Date

16 Sep 2021

Session

ePoster Display

Topics

Staging and Imaging;  Clinical Research;  Targeted Therapy

Tumour Site

Breast Cancer

Presenters

Liselore Maria Janssen

Citation

Annals of Oncology (2021) 32 (suppl_5): S447-S456. 10.1016/annonc/annonc688

Authors

L.M. Janssen1, B.M. den Dekker2, K.G..A. Gilhuijs1, P.J. van Diest3, E. van der Wall4, S.G. Elias5

Author affiliations

  • 1 Image Sciences Institute, University Medical Center Utrecht, University Utrecht, 3584 CX - Utrecht/NL
  • 2 Department Of Radiology, University Medical Centre Utrecht, University Utrecht, 3584 CX - Utrecht/NL
  • 3 Department Of Pathology, University Medical Center Utrecht, University Utrecht, 3584 CX - Utrecht/NL
  • 4 Department Of Medical Oncology, University Medical Centre Utrecht, University Utrecht, 3584 CX - Utrecht/NL
  • 5 Julius Center For Health Sciences And Primary Care, University Medical Center Utrecht, University Utrecht, 3584 CX - Utrecht/NL

Resources

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Abstract 219P

Background

The presence of radiologic complete response (rCR) on magnetic resonance imaging (MRI) after neoadjuvant chemotherapy (NAC) may help to identify breast cancer patients in whom surgery can be safely omitted. This systematic review and meta-analysis evaluate the accuracy of MRI for pathological complete response (pCR) after NAC in breast cancer immunohistochemical (IHC) subtypes, which represent distinct phenotypes with different responses to NAC.

Methods

Two researchers systematically searched PUBMED and EMBASE to select relevant studies and extract data. We categorized study results based on hormone receptor (HR) and HER2-receptor status. For meta-analysis of sensitivity and specificity according to IHC subtype, we used bivariate random-effects models.

Results

26 studies (6151 patients) were included. The accuracy of MRI for post-NAC pCR depended on IHC subtype (likelihood ratio p=0.0082; Table). Table: 219P

Summary effect measures of the bivariate random-effects model

Subtype Pooled Sensitivity for detecting pCR [95% CI] Pooled Specificity for detecting pCR [95% CI]
HR-HER2-1509 patients/21 studies 0.66 [0.55-0.75] 0.84 [0.80-0.88]
HR- HER2+855 patients/14 studies 0.65 [0.54-0.74] 0.81 [0.74-0.87]
HR+ HER2-1988 patients/14 studies 0.52 [0.42-0.62] 0.88 [0.84-0.91]
HR+ HER2+902 patients/12 studies 0.64 [0.50-0.76] 0.71 [0.57-0.82]

Specificity was significantly lower in the HR+HER2+ subtype compared to the HR-HER2- (p=0.0012) and HR+HER2- subtype (p<0.001), and borderline significantly lower compared to the HR-HER2+ subtype (p=0.059). Sensitivity was overall moderate and lowest in the HR+HER2- subtype. There was no significant difference in sensitivity between the different IHC subtypes. Based on these findings and published pCR rates, the positive predictive value of MRI for pCR is projected to be 68% in the HR-HER2-, 78% in the HR-HER2+, 37% in the HR+HER2-, and 50% in the HR+ HER2+ subtype.

Conclusions

The proportion of patients in whom surgery would be justly omitted based on rCR on MRI after NAC is lowest in the HR+HER2- and highest in the HR-HER2+ subtype, but overall too low to safely omit surgery after NAC based on MRI alone. Implementation of additional non-invasive response evaluation techniques, such as advanced image analysis and/or liquid biopsies, is needed.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

European Union Horizon 2020 research and innovation program under grant agreement no. 755333.

Disclosure

All authors have declared no conflicts of interest.

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