@Article{macau_mods_00005900, author = {L{\"u}tgendorf-Caucig, Carola and Wieland, Patricia and Hug, Eugen and Flechl, Birgit and Tubin, Slavisa and Galalae, Razvan and Georg, Petra and Fossati, Piero and Mumot, Marta and Harrabi, Semi and Pradler, Irina and Pelak, Maciej J.}, title = {The Value of PET/CT in Particle Therapy Planning of Various Tumors with SSTR2 Receptor Expression: Comparative Interobserver Study}, journal = {Cancers}, year = {2024}, publisher = {MDPI AG}, address = {Basel}, volume = {16}, number = {10}, pages = {1877}, keywords = {Meningioma; Pet/ct; Dota; Proton Therapy; Contouring; Interobserver Variability; Pitnet; Glomus Tympanicum Tumor}, abstract = {The overexpression of somatostatin receptor type 2 (SSTR2) is a property of various tumor types. Hybrid imaging utilizing [68Ga]1,4,7,10-tetraazacyclododecane-1,4,7,10-tetra-acetic acid (DOTA) may improve the differentiation between tumor and healthy tissue. We conducted an experimental study on 47 anonymized patient cases including 30 meningiomas, 12 PitNET and 5 SBPGL. Four independent observers were instructed to contour the macroscopic tumor volume on planning MRI and then reassess their volumes with the additional information from DOTA-PET/CT. The conformity between observers and reference volumes was assessed. In total, 46 cases (97.9{\%}) were DOTA-avid and included in the final analysis. In eight cases, PET/CT additional tumor volume was identified that was not detected by MRI; these PET/CT findings were potentially critical for the treatment plan in four cases. For meningiomas, the interobserver and observer to reference volume conformity indices were higher with PET/CT. For PitNET, the volumes had higher conformity between observers with MRI. With regard to SBGDL, no significant trend towards conformity with the addition of PET/CT information was observed. DOTA PET/CT supports accurate tumor recognition in meningioma and PitNET and is recommended in SSTR2-expressing tumors planned for treatment with highly conformal radiation.}, issn = {2072-6694}, doi = {10.3390/cancers16101877}, url = {https://macau.uni-kiel.de/receive/macau_mods_00005900}, url = {https://doi.org/10.3390/cancers16101877}, url = {http://www.ncbi.nlm.nih.gov/pubmed/38791956}, file = {:https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/macau_derivate_00007361/cancers-16-01877.pdf:PDF}, language = {en} }