Details

Autor(en) / Beteiligte

• Brzeziński, Karol
• Baran, Jakub
• Borys, Damian
• Gajewski, Jan
• Chug, Neha
• Coussat, Aurelien
• Czerwiński, Eryk
• Dadgar, Meysam
• Dulski, Kamil
• Eliyan, Kavya V
• Gajos, Aleksander
• Kacprzak, Krzysztof
• Kapłon, Łukasz
• Klimaszewski, Konrad
• Konieczka, Paweł
• Kopeć, Renata
• Korcyl, Grzegorz
• Kozik, Tomasz
• Krzemień, Wojciech
• Kumar, Deepak
• Lomax, Antony J
• McNamara, Keegan
• Niedźwiecki, Szymon
• Olko, Paweł
• Panek, Dominik
• Parzych, Szymon
• Perez del Rio, Elena
• Raczyński, Lech
• Sharma, Sushil
• Shivani
• Shopa, Roman Y
• Skóra, Tomasz
• Skurzok, Magdalena
• Stasica, Paulina
• Stępień, Ewa Ł
• Tayefi, Keyvan
• Tayefi, Faranak
• Weber, Damien C
• Winterhalter, Carla
• Wiślicki, Wojciech
• Moskal, Paweł
• Rucinski, Antoni

Titel

Detection of range shifts in proton beam therapy using the J-PET scanner: a patient simulation study

Ist Teil von

• Physics in medicine & biology, 2023-07, Vol.68 (14), p.145016

Ort / Verlag

England: IOP Publishing

Erscheinungsjahr

2023

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The Jagiellonian PET (J-PET) technology, based on plastic scintillators, has been proposed as a cost effective tool for detecting range deviations during proton therapy. This study investigates the feasibility of using J-PET for range monitoring by means of a detailed Monte Carlo simulation study of 95 patients who underwent proton therapy at the Cyclotron Centre Bronowice (CCB) in Krakow, Poland. Approach: Discrepancies between prescribed and delivered treatments were artificially introduced in the simulations by means of shifts in patient positioning and in the Hounsfield unit to the relative proton stopping power calibration curve. A dual-layer, cylindrical J-PET geometry was simulated in an in-room monitoring scenario and a triple-layer, dual-head geometry in an in-beam protocol. The distribution of range shifts in reconstructed PET activity was visualised in the beam's eye view. Linear prediction models were constructed from all patients in the cohort, using the mean shift in reconstructed PET activity as a predictor of the mean proton range deviation. Main results: Maps of deviations in the range of reconstructed PET distributions showed agreement with those of deviations in dose range in most patients. The linear prediction model showed a good fit, with coefficient of determination r^2 = 0.84 (in-room) and 0.75 (in-beam). Residual standard error was below 1 mm: 0.33 mm (in-room) and 0.23 mm (in-beam). Significance: The precision of the proposed prediction models shows the sensitivity of the proposed J-PET scanners to shifts in proton range for a wide range of clinical treatment plans. Furthermore, it motivates the use of such models as a tool for predicting proton range deviations and opens up new prospects for investigations into the use of intra-treatment PET images for predicting clinical metrics that aid in the assessment of the quality of delivered treatment.&#xD.