Baseline 18F-FDG PET/CT for predicting pathological response to neoadjuvant chemotherapy and prognosis in locally advanced breast cancer patients: analysis of tumor and lymphoid organs metabolic parameters

  • 0Nuclear Medicine Unit, Diagnostic Imaging and Radiation Oncology Department, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo Francesco Vito 1, 00168, Rome, Italy. silvia.taralli@policlinicogemelli.it.

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Summary

This summary is machine-generated.

Baseline 18F-FDG PET/CT metabolic parameters predict treatment response and recurrence risk in locally advanced breast cancer (LABC) patients. These imaging findings can enhance treatment planning and prognostic assessment for LABC undergoing neoadjuvant chemotherapy (NAC).

Area Of Science

  • Nuclear Medicine
  • Oncology
  • Radiomics

Background

  • Locally advanced breast cancer (LABC) requires effective treatment strategies, including neoadjuvant chemotherapy (NAC).
  • Accurate prediction of NAC response and patient prognosis is crucial for optimizing LABC management.
  • <sup>18</sup>F-FDG PET/CT offers insights into tumor metabolism and can potentially serve as a predictive biomarker.

Purpose Of The Study

  • To evaluate baseline <sup>18</sup>F-FDG PET/CT metabolic parameters as predictors of pathological complete response (pCR) to NAC.
  • To identify baseline <sup>18</sup>F-FDG PET/CT parameters that predict disease recurrence in LABC patients.
  • To explore the relationship between tumor and lymphoid organ metabolic activity and treatment outcomes.

Main Methods

  • Retrospective analysis of baseline <sup>18</sup>F-FDG PET/CT scans in 142 LABC patients.
  • Assessment of primary tumor metabolic parameters (SUVmax, SUVmean, MTV, TLG) and lymphoid organ activity (spleen, bone marrow, lymph nodes).
  • Univariable logistic and Cox regression analyses were used to identify predictors of pCR and recurrence-free survival (RFS).

Main Results

  • Baseline parameters including spleen SUVmax, patient age, tumor-to-liver ratio (TLR), and bone marrow-to-liver ratio (BLR) were associated with NAC response.
  • Higher primary tumor metabolic activity (SUVmax, SUVmean, SUVpeak, MTV, TLG) and TLR were significant negative predictors of RFS in Luminal A/B HER2- tumors.
  • Increased spleen SUVmax, number of PET-positive lymph nodes, and patient age were associated with poorer RFS in Luminal B HER2+/HER2+ tumors.

Conclusions

  • Baseline <sup>18</sup>F-FDG PET/CT parameters from both primary tumors and lymphoid organs are valuable predictors of NAC response and prognosis in LABC.
  • These imaging biomarkers reflect tumor proliferative activity, metabolic burden, and immune system activation, influencing treatment outcomes.
  • Incorporating baseline PET/CT data can significantly improve treatment planning and prognostic stratification for LABC patients undergoing NAC.

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