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Iskalni niz: "avtor" (Robert Jeraj) .

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1.
Fizikalni modeli imunoterapije in radioterapije
Damijan Valentinuzzi, Martina Vrankar, Katja Uršič Valentinuzzi, Mojca Unk, Olga Gordeeva, Alen Hadžić, Gregor Serša, Maja Čemažar, Robert Jeraj, 2023, objavljeni znanstveni prispevek na konferenci

Povzetek: V prispevku bomo predstavili rezultate fizikalnih modelov imunoterapije, ki smo jih razvili v programski skupini Medicinska fizika na Fakulteti za matematiko in fiziko Univerze v Ljubljani. Glavni cilj raziskav je bila prepoznava bioloških značilnosti tumorjev, od katerih je odvisen odziv na zdravljenje s protitelesi receptorja programirane celične smrti l (angl. anti-programmed-death-1 (anti-PD-1)). Posebno pozornost smo namenili meritvam modelskih parametrov ter preverbi rezultatov modeliranja, kar je eden izmed predpogojev za uspešno translacijo modeliranja v rutinsko predklinično in klinično prakso. Predstavili bomo tudi načrte za prihodnost, tj. modeliranje kombinacije anti-PD-1 in radioterapije.
Ključne besede: imunoterapija, radioterapija, medicinska fizika, tumorji
Objavljeno v DiRROS: 16.06.2023; Ogledov: 340; Prenosov: 93
.pdf Celotno besedilo (2,01 MB)

2.
Quantitative imaging biomarkers of immune-related adverse events in immune-checkpoint blockade-treated metastatic melanoma patients : a pilot study
Nežka Hribernik, Daniel T. Huff, Andrej Studen, Katarina Zevnik, Žan Klaneček, Hamid Emamekhoo, Katja Škalič, Robert Jeraj, Martina Reberšek, 2022, izvirni znanstveni članek

Povzetek: Purpose: To develop quantitative molecular imaging biomarkers of immune-related adverse event (irAE) development in malignant melanoma (MM) patients receiving immune-checkpoint inhibitors (ICI) imaged with 18F-FDG PET/CT. Methods: 18F-FDG PET/CT images of 58 MM patients treated with anti-PD-1 or anti-CTLA-4 ICI were retrospectively analyzed for indication of irAE. Three target organs, most commonly affected by irAE, were considered: bowel, lung, and thyroid. Patient charts were reviewed to identify which patients experienced irAE, irAE grade, and time to irAE diagnosis. Target organs were segmented using a convolutional neural network (CNN), and novel quantitative imaging biomarkers - SUV percentiles (SUVX%) of 18F-FDG uptake within the target organs - were correlated with the clinical irAE status. Area under the receiver-operating characteristic curve (AUROC) was used to quantify irAE detection performance. Patients who did not experience irAE were used to establish normal ranges for target organ 18F-FDG uptake. Results: A total of 31% (18/58) patients experienced irAE in the three target organs: bowel (n=6), lung (n=5), and thyroid (n=9). Optimal percentiles for identifying irAE were bowel (SUV95%, AUROC=0.79), lung (SUV95%, AUROC=0.98), and thyroid (SUV75%, AUROC=0.88). Optimal cut-offs for irAE detection were bowel (SUV95%>2.7 g/mL), lung (SUV95%>1.7 g/mL), and thyroid (SUV75%>2.1 g/mL). Normal ranges (95% confidence interval) for the SUV percentiles in patients without irAE were bowel [1.74, 2.86 g/mL], lung [0.73, 1.46 g/mL], and thyroid [0.86, 1.99 g/mL]. Conclusions: Increased 18F-FDG uptake within irAE-affected organs provides predictive information about the development of irAE in MM patients receiving ICI and represents a potential quantitative imaging biomarker for irAE. Some irAE can be detected on 18F-FDG PET/CT well before clinical symptoms appear.
Ključne besede: melanoma, malignant melanoma, immune-checkpoint inhibitors, molecular imaging biomarkers
Objavljeno v DiRROS: 07.09.2022; Ogledov: 483; Prenosov: 145
.pdf Celotno besedilo (9,65 MB)

3.
Book of abstracts
2000, ni določena

Objavljeno v DiRROS: 29.04.2021; Ogledov: 810; Prenosov: 261
.pdf Celotno besedilo (962,38 KB)

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