Magnetization transfer imaging of ovarian cancer: initial experiences of correlation with tissue cellularity and changes following neoadjuvant chemotherapy

Author:

Deen Surrin S12ORCID,McLean Mary A23,Gill Andrew B3,Crawford Robin A F4,Latimer John4,Baldwin Peter4,Earl Helena M45,Parkinson Christine A4,Smith Sarah4,Hodgkin Charlotte25,Jimenez-Linan Mercedes6,Brodie Cara R2,Patterson Ilse1,Addley Helen C1,Freeman Susan J1,Moyle Penelope M1,Graves Martin J13,Sala Evis123,Brenton James D125,Gallagher Ferdia A123

Affiliation:

1. Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke’s Hospital, Cambridge, United Kingdom, CB2 0QQ

2. Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom, CB2 0RE

3. Department of Radiology, Box 218, University of Cambridge, Cambridge, United Kingdom, CB2 0QQ

4. Cambridge University Hospitals NHS Foundation Trust, Addenbrooke’s Hospital, Cambridge, United Kingdom, CB2 0QQ

5. Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke’s Hospital, Cambridge, United Kingdom, CB2 0QQ

6. Department of Pathology, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke’s Hospital, Cambridge, United Kingdom, CB2 0QQ

Abstract

Objectives: To investigate the relationship between magnetization transfer (MT) imaging and tissue macromolecules in high-grade serous ovarian cancer (HGSOC) and whether MT ratio (MTR) changes following neoadjuvant chemotherapy (NACT). Methods: This was a prospective observational study. 12 HGSOC patients were imaged before treatment. MTR was compared to quantified tissue histology and immunohistochemistry. For a subset of patients (n = 5), MT imaging was repeated after NACT. The Shapiro–Wilk test was used to assess for normality of data and Spearman’s rank-order or Pearson’s correlation tests were then used to compare MTR with tissue quantifications. The Wilcoxon signed-rank test was used to assess for changes in MTR after treatment. Results: Treatment-naïve tumour MTR was 21.9 ± 3.1% (mean ± S.D.). MTR had a positive correlation with cellularity, rho = 0.56 (p < 0.05) and a negative correlation with tumour volume, ρ = −0.72 (p = 0.01). MTR did not correlate with the extracellular proteins, collagen IV or laminin (p = 0.40 and p = 0.90). For those patients imaged before and after NACT, an increase in MTR was observed in each case with mean MTR 20.6 ± 3.1% (median 21.1) pre-treatment and 25.6 ± 3.4% (median 26.5) post-treatment (p = 0.06). Conclusion: In treatment-naïve HGSOC, MTR is associated with cellularity, possibly reflecting intracellular macromolecular concentration. MT may also detect the HGSOC response to NACT, however larger studies are required to validate this finding. Advances in knowledge: MTR in HGSOC is influenced by cellularity. This may be applied to assess for cell changes following treatment.

Publisher

British Institute of Radiology

Subject

Materials Chemistry,Economics and Econometrics,Media Technology,Forestry

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