Akademik Veri Yönetim Sistemi
JOURNAL OF BASIC AND CLINICAL HEALTH SCIENCES, sa.1, ss.471-478, 2023 (ESCI)
Purpose: The aim of this study was to evaluate treatment response and survival with post-therapy images in patients who received one cycle of Lu-177 PSMA I&T treatment. Material and Methods: After Lu-177 PSMA I&T treatment was administered to 54 patients, maximum count, pixel count (tumor extent) and sum (total tumor burden) values were calculated with a semiautomatic program. The images after the first treatment were evaluated as basal disease images. Images obtained after the second treatment were considered the response to the first cycle treatment. Results: It was determined that the number of maximum counts (p: 0.015) and tumor extent (p: 0.014) were significantly reduced after one cycle of Lu177 PSMA treatment. No significant change in total tumor burden (p:0.206) was detected. After one treatment cycle the maximum count in 46% of the patients and the total tumor burden in 63% of the patients. The number of pixels (tumor prevalence) in 41% of the patients decreased by >= 25%. Based on the Naive-Bayes method, one-year survival accuracy was 71.6%. Conclusion: With the texture analysis and machine learning of the Lu-177 PSMA post-therapy images, treatment response and survival were determined with high accuracy.