Examining the impacts of pathologists using the assistance of computer technology (artificial intelligence software) on the diagnosis of prostate cancer biopsies

ISRCTN ISRCTN91685765
DOI https://doi.org/10.1186/ISRCTN91685765
Secondary identifying numbers AI_AWARD02269
Submission date
01/07/2022
Registration date
25/08/2022
Last edited
31/08/2023
Recruitment status
No longer recruiting
Overall study status
Completed
Condition category
Cancer
Prospectively registered
Protocol
Statistical analysis plan
Results
Individual participant data
Record updated in last year

Plain English Summary

Background and study aims
Prostate cancer is currently diagnosed by histopathologists who expertly examine thin slices of tissue that are prepared as glass slides and viewed under a microscope. The pathologists assess whether cancer is present, how aggressive it is, and how much is present so that treatment decisions can be taken for patients. However, there are increasing volumes of cases and cases are becoming more complex; there is also a shortage of specialised pathologists that is especially felt in the UK and Europe. By using digital images and with the assistance of artificial intelligence (AI)-based software, pathologists can do routine screening, grading and measuring with assistance to enable a safe and more efficient service. Paige Prostate is a software device that has regulatory approval for clinical use and is the first-ever AI-based software to receive FDA approval in pathology. The aim of this study is to use the Paige Prostate cancer detection and quantification and grading software to assist prostate biopsy reporting for patients across three hospitals in England (UK) and compare the performance of pathologists either using or not using Paige Prostate.

Who can participate?
Patients undergoing prostate biopsy as part of the standard diagnostic pathway at the participating hospitals

What does the study involve?
This is a histopathologist-led study conceived with patient representatives that is conducted at hospital pathology laboratories in a real clinical setting as part of the standard practice for diagnosing prostate cancer. This study examines if and how pathologists’ diagnoses are changed when they see and use the information made available by Paige Prostate. The outputs of Paige Prostate include visual overlays that draw the attention of pathologists to areas of prostate biopsy tissue that are suspicious for harbouring cancer. Paige Prostate also displays the grade, length and quantity of tumour as numerical outputs. Pathologists will be able to see and view the outputs of Paige Prostate before signing out cases and reporting results to patients. If pathologists have changed their original diagnoses due to using Paige Prostate, then these discrepancies will be examined further with additional tests and additional review before final case authorisation. The impact of these discrepancies on patient treatment scenarios as well as costs to the health system will be modelled to assess if and how Paige Prostate can improve the efficiency and quality of prostate biopsy diagnosis. The clinician experience will also be surveyed and resource efficiency measured by studying the impact of routine use of Paige Prostate compared to current resources used. This study will also create guidelines and standards for best practice to safely introduce AI assistance into pathology diagnosis, both professional guidelines as well as patient-led guidelines from patient and public representatives.

What are the possible benefits and risks of participating?
Paige Prostate is not a replacement for the pathologist but rather provides additional information to help pathologists. Pathologists determine and authorise the diagnosis of all cases and can agree or disagree with the findings of Paige Prostate. This is a guiding principle of the study and was formed together with patient representatives and the clinical study team. There are no risks to patients in this study as they receive their full current standard of care with the addition of a market-authorised and clinically validated system in the hands of experts taking all decisions.

Where is the study run from?
University of Oxford (UK)

When is the study starting and how long is it expected to run for?
September 2021 to February 2024

Who is funding the study?
Accelerative Access Collaborative and NHSx through a Phase 4 AI in Health and Care Award (UK)

Who is the main contact?
1. Prof. Clare Verrill, Clare.Verrill@ouh.nhs.uk
2. Monica Dolton, monica.dolton@nds.ox.ac.uk
3. Margaret Horton, margaret.horton@paige.ai

Study website

Contact information

Prof Clare Verrill
Principal Investigator

Nuffield Department of Surgical Sciences
University of Oxford
John Radcliffe Hospital
Headley Way
Oxford
OX3 9DU
United Kingdom

ORCiD logoORCID ID 0000-0002-4905-8233
Phone +44 (0)1865 2 20150
Email Clare.Verrill@ouh.nhs.uk
Ms Monica Dolton
Public

Research Project Manager
The Verrill Pathology Group
Nuffield Dept of Surgical Sciences
University of Oxford
Level 6, John Radcliffe Hospital
Headington
Oxford
OX3 9DU
United Kingdom

Phone +44 (0)1865 612273
Email monica.dolton@nds.ox.ac.uk
Dr Margaret Horton
Scientific

Unit 2 Minton Place
Victoria Road
Bicester
OX26 6QB
United Kingdom

Phone +44 (0)7408852075
Email margaret.horton@paige.ai

Study information

Study designMulticentre observational prospective study on consecutive cohorts
Primary study designObservational
Secondary study designCase series
Study setting(s)Hospital
Study typeDiagnostic
Participant information sheet 42012_PIS_26Apr22.pdf
Scientific titleDriving improvements for prostate biopsy patients using Paige Prostate AI software to determine the benefits of pathologist-led diagnosis before and after the deployment of AI assistance (ARTICULATE PRO)
Study acronymARTICULATE PRO
Study hypothesisPaige Prostate both in standalone performance tests and as an assistance to pathologists has been demonstrated to improve the accuracy of the diagnosis of prostate cancer and to save histopathologists' time in diagnosing cancerous tissue in prostate core needle biopsy digital slide images. This study will examine prospectively in a real-world setting on patients as part of the standard of care the impact of Paige Prostate on diagnostic decision-making, resource use, clinician acceptance and patient treatment recommendations and patient experiences.
Ethics approval(s)This study is an Evaluation of Clinical Care (Service Evaluation) and is neither research nor a clinical trial as concluded by the Study Sponsor, and the University of Oxford Clinical Trials and Research Governance Study Classification Committee.
ConditionProstate cancer
InterventionDigital images of histopathology slides prepared from prostate core needle biopsy tissue for primary diagnosis are viewed by specialist histopathologists according to the standard diagnostic pathway for prostate cancer. The outputs of the Paige Prostate medical device software are made available to the pathologists and amendments to diagnostic parameters of prostate biopsy cases and potential impact on patients' clinical management determined at MDT due to Paige Prostate assistance, including prostate cancer/ASAP (suspicious) detection, Gleason grade 4 identification and tumour burden measurements.
Intervention typeDevice
Pharmaceutical study type(s)
PhaseNot Applicable
Drug / device / biological / vaccine name(s)Paige Prostate
Primary outcome measureImmediate changes to diagnostic reports of prostate biopsy cases and the corresponding immediate changes in patients' clinical management due to the use of Paige Prostate assistance, as measured by cancer/ASAP identification, Gleason grade 4 identification, tumour burden including length, number of involved cores, treatment pathway recommendation as determined by a multidisciplinary team (MDT).
Secondary outcome measures1. Impact of Paige Prostate on resource utilisation, as measured by time and tests required for pathologists to review prostate biopsy cases and make clinical recommendations at MDT, and as measured by labour landscape in terms of staff and workloads. Comparison of resource utilisation across two separate consecutive cohorts, one without Paige Prostate, and one after Paige Prostate deployment.
2. Impact of Paige Prostate on patient management, as modeled using health economics and current patient pathways, their co-morbidities and their costs, and the diagnostic discrepancies comparing unassisted and assisted diagnoses over the lifetime of a prostate cancer patient receiving biopsy.
3. Impact of Paige Prostate on the experiences of histopathologists, urologists and patients, as measured by survey and qualitative methods on prostate biopsy diagnosis and treatment selection challenges, comparing standard of care immediate experience at baseline to experience ascertained as pathologists go through the learning curve of adopting AI over the course of this study.
Overall study start date01/09/2021
Overall study end date29/02/2024

Eligibility

Participant type(s)Patient
Age groupAdult
SexMale
Target number of participants1500
Participant inclusion criteriaAll patients undergoing prostate biopsy for suspected prostate cancer
Participant exclusion criteria1. Patients who have opted out of clinical care via the existing 'consent to examination or treatment policy'
2. Non-prostate biopsy tissue
Recruitment start date28/04/2022
Recruitment end date29/02/2024

Locations

Countries of recruitment

  • England
  • United Kingdom

Study participating centres

John Radcliffe Hospital
Headley Way
Headington
Oxford
OX3 9DU
United Kingdom
University Hospital Coventry
Clifford Bridge Road
Coventry
CV2 2DX
United Kingdom
Southmead Hospital
Southmead Road
Westbury-on-Trym
Bristol
BS10 5NB
United Kingdom

Sponsor information

University of Oxford
University/education

c/o Jack Howarth
Research Services, Research Funding & Contracts Team
5 Worcester Street
Oxford
OX1 2BX
England
United Kingdom

Phone +44 (0) 1865 611749
Email jack.howarth@admin.ox.ac.uk
Website http://www.ox.ac.uk/
ROR logo "ROR" https://ror.org/052gg0110

Funders

Funder type

Government

Accelerated Access Collaborative, NHSx, Artificial Intelligence in Health & Care Award

No information available

Results and Publications

Intention to publish date01/08/2024
Individual participant data (IPD) Intention to shareNo
IPD sharing plan summaryData sharing statement to be made available at a later date
Publication and dissemination plan1. Planned primary publication in high-impact peer-reviewed journal
2. Supporting secondary publications
3. Public-facing dissemination also planned including news announcements, patient-facing content created in collaboration with Prostate Cancer UK, and professional symposia
IPD sharing planData management plan for this study as part of Clinical Care Evaluation in development. Data sharing statement to be made available at a later date.

Study outputs

Output type Details Date created Date added Peer reviewed? Patient-facing?
Interim results article 13/05/2022 01/07/2022 Yes No
Participant information sheet 26/04/2022 21/07/2022 No Yes

Additional files

42012_PIS_26Apr22.pdf

Editorial Notes

31/08/2023: The following changes were made to the trial record:
1. The recruitment end date was changed from 31/01/2024 to 29/02/2024.
2. The overall end date was changed from 31/01/2024 to 29/02/2024.
3. The intention to publish date was changed from 01/06/2024 to 01/08/2024.
4. The plain English summary was updated to reflect these changes.
21/07/2022: Trial's existence confirmed by NHSx.