TRV-2026-1699Certified recordPeer-reviewed

Optimizing Portal Venous Phase Acquisition Quality of Contrast-Enhanced CT in Oncology

Background: Portal venous phase (PVP) contrast-enhanced CT is a cornerstone for response assessment in early-phase oncology trials, yet contrast-enhancement phase timing remains insufficiently monitored across sites. We assessed PVP timing using a validated artificial intelligence (AI) quality control tool (CECT-QC). Methods: In this retrospective multicenter study, 402 CT examinations from 402 patients enrolled in phase I oncology trials across three European institutions were analyzed using CECT-QC, which quan…

Policy · Problem Space — documented harm · certified 2026-10-17 · v1 · article view · machine-readable

Current reading — problem

An AI quality-control tool classified only 53.1% of standard CT examinations in phase I oncology trials as optimal portal venous phase, with significant variation across institutions and scanner types.

What this doesn’t fix

The study was retrospective, and the classification tool needs adaptation to emerging CT platforms such as photon-counting CT, limiting how far the findings generalize.

Evidence

Reader signal

How should this claim be treated?

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Truvace Impact Record TRV-2026-1699, v1: “Optimizing Portal Venous Phase Acquisition Quality of Contrast-Enhanced CT in Oncology.” Truvace, 2026-10-17. /record/TRV-2026-1699 (accessed at citation time). sha256 2bad39e92dded9c4…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

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