Deep learning-based evaluation of normal bone marrow activity in 18F-NaF PET/CT in patients with prostate cancer

Sarah Lindgren Belal, Olof Enqvist, Johannes Ulén, Lars Edenbrandt, Elin Trägårdh

Research output: Contribution to journalPublished meeting abstractpeer-review

Abstract

Purpose: Bone marrow is the primary site of skeletal metastases in prostate cancer. 18F-sodium fluoride (NaF) can be used to detect malignant activity, but also identifies irrelevant degenerative cortical uptake. Normal radiotracer activity in solely the marrow has yet to be described and could be a first step towards automated tumor burden calculation as SUV thresholds. We aimed to investigate normal activity of 18F-NaF in whole bone and bone marrow in patients with localized prostate cancer.

Methods and materials: 18F-NaF PET/CT scans from 87 patients with high-risk prostate cancer from two centers were retrospectively analyzed. All patients had a recent negative or inconclusive bone scan. In the first center, PET scan was acquired 1-1.5 hours after i.v. injection of 4 MBq/kg 18F-NaF on an integrated PET/CT system (Gemini TF, Philips Medical Systems) (53/87). In the second center, scanning was performed 1 hour after i.v. injection of 3 MBq/kg 18F-NaF on an integrated PET/CT system (Discovery ST, GE Healthcare) (34/87). CT scans were obtained in immediate connection to the PET scan. Automated segmentations of vertebrae, pelvis, femora, humeri and sternum were performed in the CT scans using a deep learning-based method. Bone <7 mm from skeletal surfaces was removed to isolate the marrow. SUV was measured within the remaining area in the PET scan.

Results: SUVmax and SUVmean in the whole bone and bone marrow of the different regions were presented.

Conclusion: We present a deep-learning approach for evaluation of normal radiotracer activity in whole bone and bone marrow. Knowledge about radiotracer uptake in the normal bone prior to cancerous involvement is a necessary first step for subsequent tumor assessment and could be of value in the implementation of future tracers.
Original languageEnglish
Pages (from-to)349-350
Number of pages2
JournalInsights into Imaging
Volume11
Issue numberSuppl. 1
DOIs
Publication statusPublished - 2020 May
EventEuropean Congress of Radiology (ECR) - Vienna, Austria
Duration: 2020 Jul 152020 Jul 19

Subject classification (UKÄ)

  • Radiology and Medical Imaging

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