PSMA PET Segmentation: Advanced TMTV PSMA Calculation
Standardize the assessment of metastatic prostate cancer with AI-driven Tumor Burden quantification and access RECIP evaluation criteria.
Quantifying Total Tumor Burden with TMTV PSMA
In the rapidly evolving field of radioligand therapy, visual assessment of PSMA PET/CT is no longer sufficient for precision medicine. Pixilib provides specialized algorithms for the automated extraction of TMTV PSMA, integrating all positive lesions into a single volumetric metric.
Automated Lesion Detection & TMTV PSMA Extraction
In the rapidly evolving field of radioligand therapy (RLT), visual assessment of PSMA PET/CT is no longer sufficient for precision medicine. Pixilib provides specialized algorithms for the automated extraction of the TMTV PSMA (Total Metabolic Tumor Volume on PSMA PET/CT).
Our AI-driven Tumor Segmentation engine is trained to identify specific PSMA-positive metastatic sites (lymph nodes, bone, visceral) while filtering out physiological uptake (salivary glands, kidneys, liver). This allows for a rapid and reliable calculation of the TMTV PSMA, even in complex cases with high metastatic density.
By integrating all PSMA-positive lesions into a single volumetric metric, our platform offers a comprehensive view of the patient's Tumor Burden, essential for both patient selection and therapy response monitoring.
Human In The Loop, Tumor Burden Assessment
As with all GaelO algorithms, the "Human in the loop" principle is fundamental. Every TMTV PSMA segmentation is fully reviewable and editable by nuclear medicine physicians.
This synergy between Artificial Intelligence Medical Imaging and medical expertise guarantees accurate, medically validated data for your research endpoints such as PROMISE or RECIP criteria.
Implementation of RECIP Criteria for Response Evaluation
Pixilib has integrated prostate cancer specific endpoints such as PROMISE and RECIP, in particular in the GaelO platform for prospective clinical trials.
Quantitative Tumor Burden as a selection and response assessment endpoint
With our algorithm we can remove most of the workload to calculate metabolic tumor volume in PET/CT PSMA. We integrate the segmentation with our viewer so the physician can fully review and edit (remove false positives, adding missing lesions) to generate an expert-validated PSMA segmentation.
By combining PET segmentation and CT segmentation we are even able to differentiate local, locoregional and metastatic involvement for semi-automatic patient staging and follow-up.
Tumor Mismatch Quantification
As we integrate FDG and PSMA segmentation algorithms, analysis of both PET/CT for a patient allows to calculate Tumor Mismatch (FDG vs PSMA).
These determinations allow to select patients according to their tumor differentiation and better select patients for clinical trials.
Accurate Response Assessment via RECIP criteria
Unlike traditional RECIST, the RECIP criteria focus on the change in TMTV PSMA and the appearance of new lesions to categorize treatment response (Complete Response, Partial Response, Stable Disease, or Progressive Disease). By automating the segmentation we ensure that RECIP classifications are:
- Objective reducing the inter-reader variability inherent in manual PSMA PET interpretation
- Reproducible providing consistent longitudinal tracking of TMTV PSMA across multiple timepoints
- Clinically Relevant correlating directly with progression-free and overall survival
A unified infrastructure for medical imaging research
From clinical trial centralization to research PACS and AI segmentation — three complementary products covering the full lifecycle of medical imaging in clinical research.
GaelO
Collection and centralized reading of clinical trials. From DICOM upload to Blind Independent Central Review with disease-specific criteria — GDPR/HIPAA compliant, fully auditable.
Discover GaelO
GaelO Flow
Research PACS for retrospective and Real World Evidence studies. Orchestrate medical imaging data: query/retrieve, batch de-identification, AI inference pipelines and seamless export.
Discover GaelO Flow
AI Segmentation Algorithms
FDG, PSMA, DOTATOC. Automated PET segmentation to extract Total Metabolic Tumor Volume (TMTV) human-in-the-loop, 100% medically validated, regulatory-ready.
Explore algorithms