Diagnostic performance characteristics of Chinese radiologists in breast cancer detection with FFDM versus DBT images

Jia Lin Chua, Qin Xiao, Tong Li, Yajia Gu, Melissa L. Barron, Kriscia Tapia, Sarah Lewis, Phuong D. (Yun) Trieu

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

Introduction: Breast cancer is the most common cancer among women in China and early detection is key to reducing mortality. This study aimed to understand diagnostic performances of Chinese radiologists between FFDM (full-field digital mammography) and DBT (digital breast tomosynthesis) images in terms of lesion features and reader characteristics. Methods: 32 Chinese radiologists read two mammogram test sets to identify cancer cases and to detect lesions. The first set was of FFDM images (60 cases, 21 cancers) and the second was of DBT images (35 cases, 15 cancers). The accuracy in cancer case detection and lesion detection of radiologists in each test set were analysed. Comparison of diagnostic performances of radiologists with different working experiences were also undertaken. Results were compared using the Wilcoxon Sign Rank and Mann-Whitney U tests. Results: Chinese radiologists recorded higher diagnostic accuracy with FFDM than DBT for detecting certain lesion types (calcifications, architectural distortion, mixed types) and lesions ≤ 10 mm. There was no significant difference in the accuracy for cancer case detection between FFDM and DBT. Radiologists who had more than eight years working experience, read more than 60 cases per week or had no DBT training had significantly higher lesion accuracy with FFDM than DBT. Conclusion: Chinese radiologists had higher lesion accuracy with FFDM in certain lesion types and sizes than DBT. This may be related to the lack of appropriate DBT training for radiologists in China.

Original languageEnglish
Title of host publicationProceedings of SPIE: Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment, 21-23 February 2023, San Diego, California, United States
PublisherSPIE
Number of pages7
ISBN (Print)9781510660397
DOIs
Publication statusPublished - 2023
EventMedical Imaging (Conference : SPIE) -
Duration: 21 Feb 2023 → …

Publication series

Name
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging (Conference : SPIE)
Period21/02/23 → …

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