How does image quality affect radiologists' perceived ability for image interpretation and lesion detection in digital mammography?

ABSTRACT:

Objectives

To study how radiologists' perceived ability to interpret digital mammography (DM) images is affected by decreases in image quality.

Methods

One view from 45 DM cases (including 30 cancers) was degraded to six levels each of two acquisition-related issues (lower spatial resolution and increased quantum noise) and three post-processing-related issues (lower and higher contrast and increased correlated noise) seen during clinical evaluation of DM systems. The images were shown to fifteen breast screening radiologists from five countries. Aware of lesion location, the radiologists selected the most-degraded mammogram (indexed from 1 (reference) to 7 (most degraded)) they still felt was acceptable for interpretation. The median selected index, per degradation type, wa

SUBMITTER: Boita J 

PROVIDER: S-EPMC8213590 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature