top of page

PCAI

A new method for analyzing prostate cancer biopsies

The Prostate Cancer Aggressiveness Index (PCAI) provides a groundbreaking solution to one of the major challenges in prostate cancer diagnostics: the lack of reproducible and precise analysis results, which creates uncertainty and often leads to both over- and undertreatment.

 

Up to 20% of patients in the ISUP 2 group undergo unnecessary radical treatment while some aggressive cancers are incorrectly recommended for active surveillance. PCAI addresses this challenge by combining advanced AI with extensive medical expertise, delivering a more reliable and reproducible analysis.

SpearPoint Analytics

HOW PCAI WORKS

PCAI analyzes biopsies and generates an index from 0 to 100, classifying results into seven levels of aggressiveness. The system is trained on one of the world's most comprehensive databases - approximately 20,000 patient cases with 20 years of follow-up, from Martini Klinik in Hamburg. By comparing patient's biopsies with this dataset, PCAI estimates cancer aggressiveness based on the actual clinical outcomes.

Robustness and precision

PCAI is robust across variations in laboratory routines, including section thickness, staining protocols, and the market's leading scanner models.

Pilot studies demonstrates that PCAI already outperforms leading pathologists in diagnostic accuracy and reduces the "gray zones" that previously created uncertainty in decision-making.

Ongoing research aims to integrate additional parameters - such as PSA, Pi-RADS, patient age, to further enhance and individualization of treatment recommendations.

A product of international collaboration

PCAI is developed by Spearpoint Analytics in collaboration with world-leading institutions in the prostate cancer research: Martini Klinik at the Medical Center Hamburg-Eppendorf and Uppsala University Hospital.

The system has the potential to become the new standard for prostate cancer analysis.

Discuss PCAI for your clinic

Want to learn more?

UKE Hamburg
Vinnova
Uppsala Academic Hospital
Uppsala university
Martini Klinik

Links to articles

Our model for grading cancer aggressiveness is founded on many years of research at Uppsala University, Martini Klinik and the University Medical Center Hamburg-Eppendorf.

Robustness is a key consideration in developing a system for clinical use. An analysis of the state-of-the-art literature in this field resulted in a published review article

PCAI – A more precise analysis for improved decision-making

PCAI at your clinic

As a urologist, you often face difficult treatment decisions. Uncertainty about aggressiveness can affect both treatment and quality of life.

PCAI (Prostate Cancer Aggressiveness Index) provides an accurate, reproducible analysis that clearly grades aggressiveness, giving you and your patient a more secure basis for decisions. Unnecessary surgeries can be avoided or postponed where active surveillance is appropriate. Conversely, studies have show PCAI can identify aggressive cancer that the Gleason method misses.

SpearPoint Analytics

For individual cases – Recommend a second opinion

Spearpoint Analytics

Regular use of PCAI

If you are interested in using PCAI regularly in your clinic, we offer the opportunity to discuss how this can be integrated into your practice. Our ambition is for PCAI to eventually be available in all laboratories handling prostate biopsies. In the meantime, we collaborate individually with each clinic to develop practical, tailored solutions.

The patient's biopsies are sent to an affiliated laboratory for AI analysis. Results are delivered digitally the same day, providing you with a timely basis for clinical decision-making.

When you need more precise basis for a decision, refer your patient to us for a PCAI-based second opinion (refer them to: www.spearpoint.se)

We manage the process from image collection to delivery of results in consultation with you and patient. Results are presented in a clear report, followed by a meeting with our urologist for further discussion.

WELCOME TO CONTACT US

To discuss regular use of PCAI

Would you like to stay updated on the development of PCAI?

bottom of page