Digital Breast Tomosynthesis for Upgraded BIRADS Scoring towards the True Pathology of Lesions Detected by Contrast-Enhanced Mammography.

IF 2.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Tomography Pub Date : 2024-05-20 DOI:10.3390/tomography10050061
Ahuva Grubstein, Tal Friehmann, Marva Dahan, Chen Abitbol, Ithai Gadiel, Dario M Schejtman, Tzippy Shochat, Eli Atar, Shlomit Tamir
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Abstract

Objective: To determine the added value of digital breast tomosynthesis (DBT) in the assessment of lesions detected by contrast-enhanced mammography (CEM).

Material and methods: A retrospective study was conducted in a tertiary university medical center. All CEM studies including DBT performed between January 2016 and December 2020 were included. Lesions were categorized and scored by four dedicated breast radiologists according to the recent CEM and DBT supplements to the Breast Imaging Reporting and Data System (BIRADS) lexicon. Changes in the BIRADS score of CEM-detected lesions with the addition of DBT were evaluated according to the pathology results and 1-year follow-up imaging study.

Results: BIRADS scores of CEM-detected lesions were upgraded toward the lesion's pathology with the addition of DBT (p > 0.0001), overall and for each reader. The difference in BIRADS scores before and after the addition of DBT was more significant for readers who were less experienced. The reason for changes in the BIRADS score was better lesion margin visibility. The main BIRADS descriptors applied in the malignant lesions were spiculations, calcifications, architectural distortion, and sharp or obscured margins.

Conclusions: The addition of DBT to CEM provides valuable information on the enhancing lesion, leading to a more accurate BIRADS score.

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数字乳腺断层合成技术用于升级 BIRADS 评分,以了解对比增强型乳腺 X 射线照相术检测到的病变的真实病理情况。
目的确定数字乳腺断层扫描(DBT)在评估对比增强乳腺 X 线造影(CEM)检测到的病变中的附加值:在一所三级大学医疗中心进行了一项回顾性研究。研究纳入了 2016 年 1 月至 2020 年 12 月期间进行的包括 DBT 在内的所有 CEM 研究。病变由四位乳腺放射专科医生根据乳腺成像报告和数据系统(BIRADS)词汇表的最新 CEM 和 DBT 增补进行分类和评分。根据病理结果和 1 年的随访成像研究,评估了添加 DBT 后 CEM 检测到的病变的 BIRADS 评分变化:结果:增加 DBT 后,CEM 检测到的病变的 BIRADS 评分向病变的病理方向提升(p > 0.0001),总体和每个读者都是如此。对于经验较少的读者来说,添加 DBT 前后的 BIRADS 分数差异更为显著。BIRADS 评分发生变化的原因是病变边缘可视性更好。在恶性病变中应用的主要 BIRADS 描述指标是棘突、钙化、结构变形以及边缘锐利或模糊:结论:在 CEM 中加入 DBT 可提供有关增强病灶的宝贵信息,从而获得更准确的 BIRADS 评分。
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来源期刊
Tomography
Tomography Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
2.70
自引率
10.50%
发文量
222
期刊介绍: TomographyTM publishes basic (technical and pre-clinical) and clinical scientific articles which involve the advancement of imaging technologies. Tomography encompasses studies that use single or multiple imaging modalities including for example CT, US, PET, SPECT, MR and hyperpolarization technologies, as well as optical modalities (i.e. bioluminescence, photoacoustic, endomicroscopy, fiber optic imaging and optical computed tomography) in basic sciences, engineering, preclinical and clinical medicine. Tomography also welcomes studies involving exploration and refinement of contrast mechanisms and image-derived metrics within and across modalities toward the development of novel imaging probes for image-based feedback and intervention. The use of imaging in biology and medicine provides unparalleled opportunities to noninvasively interrogate tissues to obtain real-time dynamic and quantitative information required for diagnosis and response to interventions and to follow evolving pathological conditions. As multi-modal studies and the complexities of imaging technologies themselves are ever increasing to provide advanced information to scientists and clinicians. Tomography provides a unique publication venue allowing investigators the opportunity to more precisely communicate integrated findings related to the diverse and heterogeneous features associated with underlying anatomical, physiological, functional, metabolic and molecular genetic activities of normal and diseased tissue. Thus Tomography publishes peer-reviewed articles which involve the broad use of imaging of any tissue and disease type including both preclinical and clinical investigations. In addition, hardware/software along with chemical and molecular probe advances are welcome as they are deemed to significantly contribute towards the long-term goal of improving the overall impact of imaging on scientific and clinical discovery.
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