The edition · Radiology
Adding an enhancement curve to O-RADS MRI halves the benign masses sent to oncology surgeons
A 341-mass series raises O-RADS specificity from 0.84 to 0.92 with a semi-quantitative curve; standalone AI matched 83.5% of screening nodules across scans; and PI-QUAL gives prostate MRI quality a score that can be audited.
The edition in brief
In 341 adnexal masses from 321 women who went on to surgery, O-RADS MRI with conventional visual assessment of enhancement had sensitivity 0.95 (95% CI 0.89 to 0.98), specificity 0.84 (0.79 to 0.89) and positive predictive value 0.77 (0.69 to 0.83). Replacing visual assessment with a semi-quantitative intensity curve raised specificity to 0.92 (0.88 to 0.95, P = 0.007) and positive predictive value to 0.90 (0.83 to 0.95, P = 0.002), and would have cut the proportion of benign lesions operated on by gynaecological oncologists from 16% to 9%. Inter- and intra-reader agreement was moderate to high, kappa 0.63 to 0.85. In lung cancer screening, an AI system was tested on all 361 UK Lung Cancer Screening participants who had a three-month follow-up low-dose CT, matching nodules across timepoints with no manual selection. It matched 83.5% of 339 persisting nodules (95% CI 79.2 to 87.1), 91.8% where there was a single baseline nodule but 72.8% where there were more than five. Expert review showed 91.1% of the unmatched findings were not nodules at all, mostly pleural plaques, leaving only 1.5% of persisting nodules needing manual correction. Separately, an AJR expert panel sets out how to put breast cancer risk models into practice, and a multi-society review proposes a stepwise route to implementing PI-QUAL, the prostate MRI quality system, through audits, protocol optimisation, structured reporting and dashboards.
A semi-quantitative enhancement curve sharpens O-RADS MRI triage
Add a semi-quantitative enhancement curve to O-RADS MRI for solid-containing adnexal masses, to stop benign lesions being routed to oncological surgery.
Standalone AI matched five in six screening nodules across timepoints
Automate nodule matching but keep human review for high-burden scans, where one in four nodules went unmatched.
Breast cancer risk models: the panel's answer to when and how to use them
Pick one risk model, fix where in the pathway it is applied, and define what each band changes - otherwise the risk score changes nothing.
Put the reason the study is limited in the report, not in your head
Convert every technical limitation into a sentence naming what the scan cannot answer and what would answer it.
Score your prostate MRI quality, then audit it
Score a consecutive series of your prostate MRI studies for quality and fix the sequence the audit exposes - it will raise detection more cheaply than any new equipment.
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