Quantib Prostate
Image post-processing software for processing, visualization, and editing of prostate MRI images. Supports registered multi-parametric MRI viewing, semi-automatic AI-based segmentation of anatomical structures (prostate gland and sub-regions), volume computations, manual editing tools, and PI-RADS structured workflow. Diagnosis should not be made solely based on Quantib Prostate analysis.
Regulatory
| Regulatory status | 510(k) cleared |
| FDA decision date | 2023-04-17 |
| FDA 510(k) number | K230772 |
| CE marked | Yes |
Validation summary
| Study design | Retrospective |
| Cohort size | FDA Special 510(k) bench testing only — sample size for the subregion-segmentation Dice/MSD comparison not disclosed in the public Decision Summary. Predicate clinical performance (Quantib Prostate v2.0, K221106) was leveraged. Peer-reviewed Chiacchio 2025 in La Radiologia Medica and Faiella 2022 in Diagnostics provide independent real-world csPCa detection cohorts (curator should populate full cohort sizes from those full texts). |
| Number of validation sites | — |
| Site geography | — |
| Comparator | Predicate device |
| Primary endpoint | Concordance (C-index) |
| Primary result | FDA K230772 bench testing: automatic segmentations compared to ground truth via Dice overlap and Mean Surface Distance; results stated 'as safe and effective as the predicate device'. Quantitative Dice/MSD values not disclosed in the public Decision Summary text. Qualitative reader Likert scoring concluded sub-region segmentations and ROI initial localizations 'are judged at least as accurate as the predicate device'. |
| External validation | Yes — Independent external evaluations exist in peer-reviewed literature. Per Chiacchio 2025 (La Radiologia Medica), Quantib did not enhance csPCa detection in experienced readers but did improve performance for inexperienced readers; Faiella 2022 reported inter-reader agreement (weighted κ ≈ 0.45–0.46) and shorter reporting time with Quantib. · Mixed real-world evidence: benefit appears concentrated in less-experienced readers. |
| Peer-reviewed | Yes |
| FDA decision summary | View on accessdata.fda.gov |
Key publications
- The added value of artificial intelligence using Quantib Prostate for the detection of prostate cancer at multiparametric magnetic resonance imagingLa Radiologia Medica · 2025
- Quantib Prostate Compared to an Expert Radiologist for the Diagnosis of Prostate Cancer on mpMRI: A Single-Center Preliminary StudyDiagnostics · 2022
Limitations noted
[Source-detail preserved: Study design: Single-center; Primary endpoint (original): dice_coefficient] (i) K230772 is a Special 510(k) — relies heavily on predicate K221106 for clinical performance; current Decision Summary discloses bench only; (ii) no MRMC reader study or AUC/sensitivity/specificity metrics in K230772 public summary; (iii) peer-reviewed evidence mixed — benefit may be limited to less-experienced readers; (iv) curator should review prior predicate K221106 / K202501 for full historical clinical metrics.
Deployment
| Available | Yes |
Sources
- https://www.accessdata.fda.gov/cdrh_docs/pdf23/K230772.pdf · fda_db · 2026-05-12
- https://pubmed.ncbi.nlm.nih.gov/40332649/ · publication · 2026-05-12
- https://pmc.ncbi.nlm.nih.gov/articles/PMC9415513/ · publication · 2026-05-12
Elbakri A. OncologyAI Registry: Quantib Prostate. Available at: https://oncologyairegistry.org/tools/quantib-prostate.html. Accessed [date].