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Does Structured Reporting Improve Lung Cancer Reports?
A structured reporting tool improved report completeness, reduced classification errors, and achieved high physician adoption during routine lung cancer pathology reporting.
A combination of PSA density, MRI, and PSMA PET findings identified a small subgroup with adverse pathology, supporting further study of biopsy-sparing pathways.
Automated lesion measurements increased agreement on treatment response, although expert-generated proposals were accepted more often and required fewer adjustments.