PYLARIFY AI™ (aPROMISE) is the only deep learning enabled FDA-cleared medical device software to offer standardized PSMA PET reporting with PYLARIFY AI on PSMA PET/CT images, including those achieved using PYLARIFY® (piflufolastat F18) PET/CT.1 Standardized PSMA PET reporting provides consistent and precise disease burden quantification in support of patient management and tracking over time.2,3,4
“We’re thrilled to present compelling data on the real-world application of AI-enabled PSMA PET imaging at SNMMI,” said Etienne Montagut, Chief Business Officer, Lantheus. “The presentations by Dr. Angellica Gordon from UCLA and Dr. Hong Song from Stanford reflect a significant milestone in our relentless pursuit of advancing prostate cancer management through cutting-edge technology and innovation. By harnessing our deep learning
algorithm and extensive datasets, we are committed to sustaining our efforts to improve guidance for prostate cancer patient diagnosis and treatment.”
Presentation details are as follows:
Date & Time: Sunday, June 25, 2023, 11:00 am – 12:30 pm CT
Session Title: Physics, Instrumentation & Data Sciences
Title: Use of aPROMISE as an artificial intelligence software to automate and standardize quantitative heterogeneity of PSMA and FDG PET/CT in patients with mCRPC prior to PSMA radioligand therapy: a proof-of-concept study
Presenter: Angellica Gordon, MD, PGY-3 Nuclear Medicine Resident, UCLA
Poster Number: P228
Date & Time: Monday, June 26, 2023, 11:15 am – 12:45 pm CT
Session Title: Oncology: Clinical Therapy & Diagnosis (includes Phase 2, Phase 3, post approval studies)
Title: Total and Anatomically Contextualized Quantitative 18F-DCFPyL PET at biochemical recurrence predicts subsequent biochemical progression free survival in prostate cancer patients
Presenter: Hong Song, MD, Assistant Professor of Radiology (Nuclear Medicine), Stanford
Poster Number: P837
1https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K211655
2https://pubmed.ncbi.nlm.nih.gov/34463809/
3https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K220590
4https://jnm.snmjournals.org/content/63/supplement_2/2496