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Dxcover blood test separated patients with and without brain cancer

SHTG found that the Dxcover test distinguished patients with and without brain cancer in a cohort of 385, with a negative predictive value of 95%. Its use in primary care is untested.

  • Not rated a person

    Samples were tested blind to imaging, so no patient's referral depended on the result.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Partly reported benefit.
Evidence

found, the grade of this recordstudiedreportedclaimed

An independent assessment report supports the benefit.

The system’s part
Not isolated. SHTG states that the test uses machine learning to find patterns in serum spectra and diagnostic algorithms to predict which patients have the disease. The study measured the whole test against CT imaging and did not compare referral decisions with and without it.
Not yet checked
LimitsCosts and harmsLearns from dataLater outcome
Benefit type
Improved Task Accuracy
System
Dxcover brain cancer liquid biopsy test
Made by
Dxcover Ltd
Used by
Brain tumor early diagnosis study in NHS Lothian at the Western General Hospital, Edinburgh (patients referred for direct-access CT and patients with new brain tumors)
Where
Edinburgh, Scotland, United Kingdom
Stage
Tested in a laboratory
Date
, when the source was published
Kind
Aggregate result
Broad benefit
Identifying Objects, Actions, and Events
Collections
Scrutiny and findings
Last revised
31 October 2026

Sources

  1. Peer-reviewed study, by the makers.

    Brennan PM, Butler HJ, Christie L, et al. Early diagnosis of brain tumours using a novel spectroscopic liquid biopsy. Brain Communications 2021, 3(2):fcab056. doi:10.1093/braincomms/fcab056. Four authors were directors and one an employee of ClinSpec Diagnostics, the spinout company behind the test.

    Our test predicted the presence of glioblastoma, the most common and aggressive brain tumour, with 91% sensitivity, and all brain tumours with 81% sensitivity, and 80% specificity.
  2. Assessment report, by authors with no tie to the system.

    Scottish Health Technologies Group, Healthcare Improvement Scotland. Dxcover™ brain cancer liquid biopsy test for early brain cancer detection in primary care. Innovative Medical Technology Overview IMTO 03-21, October 2021. Executive summary.

    In a published diagnostic accuracy cohort study (n=385) undertaken in secondary care that included 64 patients with known brain tumours, the DxcoverTM test was able to distinguish between patients with and without brain cancer.

Details

AI system

Workflow

Serum samples were analyzed by infrared spectroscopy and a machine-learning algorithm, blind to the imaging results. The cohort combined patients referred for direct-access CT with patients already diagnosed with brain tumors.

Follow-up

Conditions for replication

Accuracy is confirmed in the primary care population for whom the test is meant. About 1% or more of tested patients have brain cancer, the level at which the test was likely to be cost-effective at £100 in the exploratory model.

Entry details

Sector

Healthcare (cancer diagnostics).

Purpose

Dxcover Ltd built the Dxcover brain cancer liquid biopsy test to help general practitioners decide which patients with vague symptoms to send urgently for brain imaging.

31 more questions not yet checked

model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). Dxcover blood test separated patients with and without brain cancer (AIBD-0930). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-0930.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

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