RECIP 1.0 is not the
whole story.
Quantification is.

SUVmean. PSMA-VOL. ΔVOL. TLQ. The biomarkers behind selection, response, and prognosis — none available from a qualitative read.

Dynamic 18 F-PSMA-1007 PET-CT
FDA 21 CFR Part 11 HIPAA GDPR PIPEDA AWS

Quantitative PSMA PET

Three biomarkers. One scan.

1
Selection

SUVmean ≥10 predicts response to 177Lu-PSMA.

Baseline SUVmean is the strongest quantitative predictor of PSA response and overall survival after PSMA RPT. Validated across VISION, TheraP, and the U.S. Expanded Access Program. A qualitative read cannot identify it. An SUVmax read cannot replace it.

VISION · TheraP · EAP 2026
2
Response

ΔPSMA-VOL drives RECIP 1.0 CR / PR / SD / PD.

≥30% decrease = PR, ≥20% increase plus new lesions = PD. Absence of PSMA uptake = CR. Everything else = SD. The categories are defined against quantitative tumor volume change at baseline and each follow-up — not against a narrative read.

RECIP 1.0 · Gafita 2022
3
Prognosis

TLP (Total Lesion PSMA) and TLQ (Total Lesion Quotient) — multiplicator and ratio of PSMA-VOL and SUVmean. Both are strong prognosticators of OS.

Tumor burden multiplied by PSMA expression. Volume says how much. SUVmean says how avid. The composite outperforms either parameter alone for overall survival in mCRPC across multiple cohorts — and is where the literature is moving.

Seifert 2021 · Burgard 2024 · EAP 2026

Response Criteria

Supported Response Criteria

Morphologic

CT & bone-scan endpoints

RECIST 1.1
Soft tissue lesions, nodal disease, visceral metastases.
PCWG3
Regulatory rPFS standard (bone scan + CT).
PSMA PET/CT — Response

Functional response frameworks

RECIP 1.0 (Primary)
CR / PR / SD / PD from ΔPSMA-VOL.
aPERCIST
SUVpeak-based, FDG-PERCIST adapted to PSMA.
PROMISE V2
Unified framework: PPP early disease, RECIP 1.0 for late-stage mCRPC.
PSMA PET/CT — Progression-Only
PPP — binary progression signal, not a response criterion.
Dual-Tracer When Discordance Matters

FDG+ / PSMA− disease is prognostic. And invisible to single-tracer imaging.

PSMA loss of expression. Neuroendocrine differentiation. Aggressive mCRPC phenotypes. These patients baseline-positive on PSMA and progress through FDG-avid, PSMA-negative lesions your PSMA PET cannot see. TheraP screened for discordance and excluded it. VISION did not screen for it. Across both, FDG+/PSMA− disease predicted shorter OS on 177Lu-PSMA. FDG + PSMA on the same patient, quantified in parallel — when your protocol needs to identify discordance before it drives outcomes.

Quantitative Imaging

What We Measure in mCRPC

SUVmean
Selection Biomarker

Mean PSMA uptake across all quantified tumor.

The single strongest multivariate predictor of PSA response and overall survival after 177Lu-PSMA. Threshold enrichment: SUVmean ≥10. Validated across VISION, TheraP, taxane chemotherapy, and the U.S. Expanded Access Program. Unavailable from a qualitative read.

TLQ
Prognostic Composite

PSMA-VOL ÷ SUVmean. Volume multiplied by expression.

Composite prognostic biomarker — tumor burden weighted by PSMA intensity. Independently prognostic for OS in mCRPC across multiple cohorts. Directly analogous to TLG in FDG-PET. Stable across software platforms and reconstructions.

Seifert 2021 · Burgard 2024 · Kimura 2026
PSMA PET/CT — segmented MTV (PSMA-VOL annotation)
PSMA-VOL — Segmented MTV
PSMA PET/CT — Quantitative RECIP 1.0 Read
PSMA-VOL quantified per patient. RECIP 1.0 categories assigned at each timepoint.

Full-Stack Imaging

Full-Stack Prostate Cancer Imaging

BioSUITE Platform

PSMA PET/CT QA

Tracer verification across PSMA-617, DCFPyL, and PSMA-11
Injection timing and reconstruction parameters validated against protocol
SUV normalization across scanners and timepoints
Site-by-site QA before reads begin — because SUVmean is meaningless across scanners that weren't harmonized
Advanced Analysis

Quantitative PSMA Biomarker Suite

3D segmentation of all PSMA-avid lesions
PSMA-VOL, SUVmean, ΔVOL — computed per patient at every timepoint
RECIP 1.0 thresholds applied directly
TLQ composite for prognostic stratification
Results live in BioSUITE — queryable, exportable, audit-ready. Not a PDF
Central Read

PSMA-Trained Readers. RECIP 1.0 + PCWG3 in Parallel.

Blinded reads by radiologists and nuclear medicine physicians trained specifically in PSMA PET/CT interpretation
PCWG3 morphologic criteria alongside RECIP 1.0 functional criteria — same patient, same timepoint, reconciled
Adjudication panel for discordant cases

Why Volumetryx

Why Sponsors Choose Volumetryx
for Prostate Trials

01

Quantification is the default

PSMA-VOL, SUVmean, and ΔVOL as the standard read — not a $500K add-on. Quantification is the substrate of every RECIP 1.0 category and every prognostic composite. Priced and delivered as the standard read — so sponsors don't discover after contracting that the biomarker they need is a change order.

02

PSMA-trained readers

Nuclear medicine readers with PSMA PET/CT subspecialty volume. Not generalist radiologists reading PSMA for the first time on your trial. Our readers are trained in PSMA tracer-specific uptake patterns — PSMA-617, DCFPyL, PSMA-11 — across disease states and post-treatment phenotypes. Adjudication panel for discordant reads.

03

Full PSMA criteria suite

RECIP 1.0, PPP, aPERCIST, PROMISE V2 — from one vendor. Morphologic criteria (RECIST 1.1, PCWG3) alongside functional PSMA criteria in parallel reads. No separate contracts for CT-based response and PET-based response. No reconciliation drift between two vendors.

04

Dual-tracer when protocol requires

FDG + PSMA on the same patient — quantified in parallel. For late-stage mCRPC and suspected discordance. Identification of FDG+/PSMA− disease before it drives trial outcomes. Single imaging infrastructure, two tracers, one audit trail.

Your prostate trial needs
more than RECIP 1.0.

Three biomarkers, one scan — only if you quantify. Let's discuss what your protocol actually needs.

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