Carlos Boya-Lara, Doris Saavedra, Aaron Fehrenbach, Angel Marquez-Araque
Development of a course based on BEAM robots to enhance STEM learning in electrical, electronic, and mechanical domains
International journal of educational technology in higher education
somatostatin receptor sstrtargeted pet imaging emerged common approach evaluating patients welldifferentiated neuroendocrine tumors nets sstr reporting data system sstrrads version 10 provides means categorizing lesions 1 5 according likelihood net involvement sstrrads3a softtissue sstrrads3b bone lesions suggestive without definitive net involvement goal present study assess ability 68gadotatate petmr imaging data predict outcomes indeterminate sstrrads3a 3b lesions net patients indeterminate sstrrads3a sstrrads3b lesions underwent 68gadotatate petmr imaging april 2020 august 2023 retrospectively evaluated patients underwent followup december 2023 median 17 months 331 months imaging followup biopsy findings ultimately used classify lesions malignant benign lesion maximum standardized uptake value suvmax along minimum mean apparent diffusion coefficient adcmin adcmean values measured assessed correlations outcomes followup total 33 indeterminate sstrrads3 lesions 22 patients 19 sstrrads3a 14 sstrrads3b identified based upon baseline 68gadotatate petmr findings course followup 16 lesions 485 found exhibit true net positivity including 9 sstrrads3a 7 sstrrads3b lesions sstrrads3a lymph nodes diameter larger 07 cm adcmin 779 106mm2s lower identified likely associated metastatic lesions significant differences adcmin adcmean identified comparing metastatic nonmetastatic sstrrads3b bone lesions p 005 parameters offering high predictive ability auc 094 auc 086 diameter adcmin aid accurate identification nature lesions associated sstrrads3a lymph nodes whereas adcmin adcmean values inform accurate interpretation sstrrads3b bone lesions