Unmasking Malignancy in Dense Breast Tissue (American College of Radiology Types C and D): A Biopsy-Proven Analysis of Digital Breast Tomosynthesis Performance, Clinical Decision Dynamics, and Correlation with Histological Grade and Molecular Subtypes
Abdulkadir Eren, Emrah Karatay, Ferhat Ozden · 2026
Read Unmasking Malignancy in Dense Breast Tissue (American College of Radiology Types C and D): A Biopsy-Proven Analysis of Digital Breast Tomosynthesis Performance, Clinical Decision Dynamics, and Correlation with Histological Grade and Molecular Subtypes by Abdulkadir Eren, Emrah Karatay, Ferhat Ozden (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13465935.txt.
Description
Abdulkadir Eren, Emrah Karatay, and Ferhat Ozden test whether adding a three-dimensional mammography method improves cancer detection in dense breast tissue, in a 2026 study. Every one of the 123 women in the group had biopsy proof of her diagnosis, which removes guesswork about the final answer. Density grades covered the two highest classes on the standard radiology scale.
One expert reader scored standard mammograms first, then the combined set after a four-week gap. Sensitivity jumped from roughly sixty-nine percent to over ninety-seven percent once the added images were included, and tumor visibility scores rose sharply as well. The authors argue the extra view helps most where dense tissue hides lesions on flat images.
Catalog record
| CREATOR | Abdulkadir Eren, Emrah Karatay, Ferhat Ozden |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35138 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |