Copenhagen, Denmark
Onsite/Online

ESTRO 2022

Session Item

Imaging acquisition and processing
7000
Poster (digital)
Physics
Mapping of the human wrist to develop a non-invasive radiation detector for Dynamic PET application
Youstina Daoud, Canada
PO-1617

Abstract

Mapping of the human wrist to develop a non-invasive radiation detector for Dynamic PET application
Authors:

Youstina Daoud1, Liam Carroll2, Shirin A. Enger3

1Lady Davis Institute for Medical Research , Jewish General Hospital, Radiation Oncology, Montreal, Quebec, H3T 1E2, Canada; 2McGill University ; Medical Physics Unit, Department of Oncology, Faculty of Medicine, and Lady Davis Institute for Medical Research , Jewish General Hospital, Montreal, Quebec, Canada; 3McGill University ;Medical Physics Unit, Department of Oncology,Faculty of Medicine ; and Research Institute of the McGill University Health Centre, and Lady Davis Institute for Medical Research , Jewish General Hospital, Montreal, Quebec, Canada

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Purpose or Objective

Dynamic Positron Emission Tomography (dPET) is increasingly used for diagnosis and treatment outcome prediction of many diseases including cancer. By injecting radiotracers in the patient’s body and analyzing their kinetics over time, dPET can provide an accurate assessment of the patient’s metabolic response to a treatment. To perform kinetic modelling of dPET data sets, the time-course activity concentration in the patient’s arterial plasma, called the arterial input function (AIF) is required. The gold-standard to measure the AIF is through arterial blood sampling from the patient throughout dPET scans. In our group, a non-invasive radiation detector is under development. The AIF is obtained non-invasively by placing the detector on a patient’s wrist during a dPET scan measuring the number of positrons and photons escaping the radial artery. To accurately measure the AIF with the developed detector, it is essential to know the distance between the radial artery and the skin surface, the surface area of the radial artery, and the blood volume flow (VF) in the radial artery. The aim of this study was to map the human wrist to obtain these parameters. 

Material and Methods

A 2D ultrasound and a musculoskeletal wide linear array transducer operating at 12MHz was used to scan the human wrist. 23 participants with different height and weight were recruited. 5 wrist scans per participant were performed.  Participants were asked to rest their left wrist on a table with palms up, where 3 translational scans at 2, 4 and 6 cm from the wrist crease, 1 longitudinal scan along the radial artery and 1 doppler scan at the 2 cm mark were acquired. Using the first 3 scans, the distance between the artery and the skin as well as the radial artery’s cross-sectional area were measured. The longitudinal scan was used to measure the depth variation of the radial artery along the wrist while the doppler scan was used to measure the VF. 

Results

The average depth of the radial artery at 2, 4 and 6 cm was 2.8 ± 1.2 mm, 3.5 ± 1.5 mm, 4.5 ± 2.3 mm respectively. The average surface of the radial artery was 3.0 ± 1.2 mm2. The longitudinal scans showed that the radial artery could have different depths along the wrist, it generally goes deep between 2 and 6 cm from the wrist crease but can change its direction, going upwards towards the skin surface. Using the doppler scan, we were able to measure the VF, which varied between 0.080 mL/min and 4.9 mL/min with an average of 1.6 mL/min. It should be noted that VF depends on the patient’s heart rate during the scan. Measurement of the VF in real-time during a dPET scan, along with the radiation counts detected by the developed non-invasive detector will help us calculate the AIF.

Conclusion

Mapping the human wrist is an important step in development of the non-invasive radiation detector for application in dPET enabling accurate measurements of the AIF during a dPET scan without drawing blood samples from the patient.