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Dose response modelling of secretory cell loss in salivary glands using PSMA PET.

Vineet Mohan ,
Natascha M Bruin ,
Roel J H M Steenbakkers ,
Walter Noordzij ,
Chris H J Terhaard ,
Bart de Keizer ,
Abrahim Al-Mamgani ,
Jeroen B van de Kamer ,
Jan-Jakob Sonke ,
Wouter V Vogel

Abstract

METHODS AND MATERIALS

28H&N cancer patients received RT with 70 Gy in 35 fractions over 7 weeks. PSMA PET/CT was acquired at baseline (BL), during treatment (DT) and at 1-&6-months post-treatment (PT1M/PT6M). Dose, BL- PT1M- and PT6M-SUV were extracted for every voxel inside each parotid (PG) and submandibular (SMG) gland. The PT1M/6M data was analysed using a generalised linear mixed effects model.Patient-reported xerostomia and DT-PSMA loss was also analysed.

CONCLUSION

A strong relationship was demonstrated between radiation dose and loss of secretory cells in salivary glands derived using PSMA PET/CT. The population curve could potentially be used as a dose planning objective, by maximising the predicted post-treatment SUV. BL scans could be used to further tailor this to individual patients.

RESULTS

Dose had a relative effect on BL SUV. For a population average gland (BL-SUV of 10), every 1 Gy increment, decreased the PT1M/PT6M-SUV by 1.6 %/1.6 % for PGs and by 0.9 %/1.8 % for SMGs. TD50 of the population curves was 26.5/31.3 Gy for PGs, and 22.9/27.8 Gy for SMGs at PT1M /PT6M. PSMA loss correlated well with patient-reported xerostomia at DT/PT1M (Spearman's ρ = -0.64, -0.50).

BACKGROUND AND PURPOSE

Xerostomia remains a common side effect of radiotherapy (RT) for patients with head and neck (H&N) cancer despite advancements in treatment planning and delivery. Secretory salivary gland cells express the prostate-specific membrane antigen (PSMA), and show significant uptake on PET scans using 68Ga/18F-PSMA-ligands. We aimed to objectively quantify the dose-response of salivary glands to RT using PSMA PET.

More about this publication

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology

Volume 177
Pages 164-171
Publication date 01-12-2022

Full text links

Publisher website (DOI) 10.1016/j.radonc.2022.10.038
Europe PubMed Central 36368471
Pubmed 36368471

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