Clinical Utility of Multicancer Detection in Symptomatic Patients: A Decision-Making Perspective

Clinical utility of MCD testing for symptomatic patients in the United Kingdom varies substantially across referral pathways but is favorable for gynecologic and GI cancers. Future pathway-specific optimization of MCD tests must consider clinical utility explicitly and does not require retraining the underlying machine learning classifiers.

Authors

Institutions

Publication Details

Journal
JCO Precision Oncology
Published
2025-12-01
DOI
https://doi.org/10.1200/po-25-00279
Primary Topic
BRCA gene mutations in cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical Utility of Multicancer Detection in Symptomatic Patients: A Decision-Making Perspective

Keegan Korthauer, Giuliano Netto Flores Cruz
JCO Precision Oncology
BRCA gene mutations in cancer
article

Clinical Utility of Multicancer Detection in Symptomatic Patients: A Decision-Making Perspective

Keegan Korthauer, Giuliano Netto Flores Cruz
article en

Abstract

Clinical utility of MCD testing for symptomatic patients in the United Kingdom varies substantially across referral pathways but is favorable for gynecologic and GI cancers. Future pathway-specific optimization of MCD tests must consider clinical utility explicitly and does not require retraining the underlying machine learning classifiers.

JCO Precision OncologyVol. 9(9)
University of British Columbia (CA), BC Children's Hospital (CA)
Openalex Percentile: Top 60%
BRCA gene mutations in cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.