@article{WeichHiguchiBundschuhetal.2022, author = {Weich, Alexander and Higuchi, Takahiro and Bundschuh, Ralph A. and Lapa, Constantin and Serfling, Sebastian E. and Rowe, Steven P. and Pomper, Martin G. and Herrmann, Ken and Buck, Andreas K. and Derlin, Thorsten and Werner, Rudolf A.}, title = {Training on reporting and data system (RADS) for somatostatin-receptor targeted molecular imaging can reduce the test anxiety of inexperienced readers}, series = {Molecular Imaging and Biology}, volume = {24}, journal = {Molecular Imaging and Biology}, number = {4}, doi = {10.1007/s11307-022-01712-6}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-324645}, pages = {631-640}, year = {2022}, abstract = {Purpose For somatostatin receptor (SSTR)-positron emission tomography/computed tomography (PET/CT), a standardized framework termed SSTR-reporting and data system (RADS) has been proposed. We aimed to elucidate the impact of a RADS-focused training on reader's anxiety to report on SSTR-PET/CT, the motivational beliefs in learning such a system, whether it increases reader's confidence, and its implementation in clinical routine. Procedures A 3-day training course focusing on SSTR-RADS was conducted. Self-report questionnaires were handed out prior to the course (Pre) and thereafter (Post). The impact of the training on the following categories was evaluated: (1) test anxiety to report on SSTR-PET/CT, (2) motivational beliefs, (3) increase in reader's confidence, and (4) clinical implementation. To assess the effect size of the course, Cohen's d was calculated (small, d = 0.20; large effect, d = 0.80). Results Of 22 participants, Pre and Post were returned by 21/22 (95.5\%). In total, 14/21 (66.7\%) were considered inexperienced (IR, < 1 year experience in reading SSTR-PET/CTs) and 7/21 (33.3\%) as experienced readers (ER, > 1 year). Applying SSTR-RADS, a large decrease in anxiety to report on SSTR-PET/CT was noted for IR (d =  - 0.74, P = 0.02), but not for ER (d = 0.11, P = 0.78). For the other three categories motivational beliefs, reader's confidence, and clinical implementation, agreement rates were already high prior to the training and persisted throughout the course (P ≥ 0.21). Conclusions A framework-focused reader training can reduce anxiety to report on SSTR-PET/CTs, in particular for inexperienced readers. This may allow for a more widespread adoption of this system, e.g., in multicenter trials for better intra- and interindividual comparison of scan results.}, language = {en} } @article{KhatriChungWerneretal.2021, author = {Khatri, Wajahat and Chung, Hyun Woo and Werner, Rudolf A. and Leal, Jeffrey P. and Pienta, Kenneth J. and Lodge, Martin A. and Gorin, Michael A. and Pomper, Martin G. and Rowe, Steven P.}, title = {Effect of point-spread function reconstruction for indeterminate PSMA-RADS-3A lesions on PSMA-targeted PET imaging of men with prostate cancer}, series = {Diagnostics}, volume = {11}, journal = {Diagnostics}, number = {4}, issn = {2075-4418}, doi = {10.3390/diagnostics11040665}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-236528}, year = {2021}, abstract = {Purpose: Prostate-specific membrane antigen (PSMA) positron emission tomography (PET) is emerging as an important modality for imaging patients with prostate cancer (PCa). As with any imaging modality, indeterminate findings will arise. The PSMA reporting and data system (PSMA-RADS) version 1.0 codifies indeterminate soft tissue findings with the PSMA-RADS-3A moniker. We investigated the role of point-spread function (PSF) reconstructions on categorization of PSMA-RADS-3A lesions. Methods: This was a post hoc analysis of an institutional review board approved prospective trial. Around 60 min after the administration of 333 MBq (9 mCi) of PSMA-targeted \(^{18}\)F-DCFPyL, patients underwent PET/computed tomography (CT) acquisitions from the mid-thighs to the skull vertex. The PET data were reconstructed with and without PSF. Scans were categorized according to PSMA-RADS version 1.0, and all PSMA-RADS-3A lesions on non-PSF images were re-evaluated to determine if any could be re-categorized as PSMA-RADS-4. The maximum standardized uptake values (SUVs) of the lesions, mean SUVs of blood pool, and the ratios of those values were determined. Results: A total of 171 PSMA-RADS-3A lesions were identified in 30 patients for whom both PSF reconstructions and cross-sectional imaging follow-up were available. A total of 13/171 (7.6\%) were re-categorized as PSMA-RADS-4 lesions with PSF reconstructions. A total of 112/171 (65.5\%) were found on follow-up to be true positive for PCa, with all 13 of the re-categorized lesions being true positive on follow-up. The lesions that were re-categorized trended towards having higher SUV\(_{max}\)-lesion and SUV\(_{max}\)-lesion/SUV\(_{mean}\)-blood-pool metrics, although these relationships were not statistically significant. Conclusions: The use of PSF reconstructions for \(^{18}\)F-DCFPyL PET can allow the appropriate re-categorization of a small number of indeterminate PSMA-RADS-3A soft tissue lesions as more definitive PSMA-RADS-4 lesions. The routine use of PSF reconstructions for PSMA-targeted PET may be of value at those sites that utilize this technology.}, language = {en} }