Imaging Studies II: Ultrasonography
Ultrasonography
Computed Tomography
Imaging Studies III: Computed Tomography
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Updated: Oct 11, 2025

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Angela Liang1, Ezra Baraban1, Kelly S Myers1
1From the Russell H. Morgan Department of Radiology and Radiological Science (A.L., K.S.M., L.A.M., B.P., E.O., E.B.A.), Department of Pathology (E.B., A.C.M.), and Department of Oncology (A.C.M.), Johns Hopkins School of Medicine, 601 N Caroline St, Baltimore, MD 21287.
This study examined the cancer risk of breast tissue changes called developing asymmetries that are seen on 3D mammograms but cannot be found using ultrasound. Researchers found that 20% of these findings were cancerous, suggesting they require careful follow-up even when ultrasound is negative.
Area of Science:
Background:
Digital breast tomosynthesis has significantly enhanced the precision of standard mammographic screening by effectively clarifying many breast tissue irregularities as simple overlapping structures. However, the clinical significance of persistent findings that appear as new or changing asymmetries remains poorly defined in current literature. No prior work had resolved the specific pathologic risks associated with these lesions when they lack a corresponding ultrasound appearance. This gap motivated an investigation into the diagnostic outcomes of such suspicious findings identified during three-dimensional imaging. While existing protocols often rely on sonography to guide biopsy decisions, the management of occult lesions remains a subject of debate among clinicians. That uncertainty drove the need for a systematic evaluation of biopsy results for these specific tomographic abnormalities. Understanding the malignancy potential of these findings is necessary to refine screening guidelines and improve patient care pathways. This study addresses the lack of data regarding the predictive value of these asymmetries in the absence of sonographic evidence.
Purpose Of The Study:
This study aimed to characterize the clinical outcomes and predictors of cancer for developing asymmetries identified on digital breast tomosynthesis that lack a sonographic correlate. The researchers sought to determine the malignancy rate for these specific findings to guide clinical management. No prior work had established the risk profile for these occult lesions in a large cohort. This uncertainty drove the need for a systematic analysis of biopsy results from a single institution. The team intended to evaluate whether patient characteristics could help predict which of these asymmetries were likely to be malignant. By analyzing biopsy data, the authors hoped to clarify the necessity of tissue sampling for such findings. This investigation addresses the diagnostic dilemma faced by radiologists when ultrasound fails to visualize a suspected abnormality. The study provides evidence to support decision-making for patients presenting with these persistent tomographic changes.
Main Methods:
The research team conducted a retrospective review of all tomosynthesis-guided biopsies performed at one facility over a three-year period. A panel of three radiologists evaluated the imaging to confirm the presence of developing asymmetries. This review approach ensured that only cases with majority reader agreement were included in the final analysis. The investigators utilized electronic medical records to gather comprehensive patient data and histopathologic results. Statistical evaluation involved the Wilcoxon rank sum test to compare continuous variables between groups. Researchers also employed Fisher exact and chi-square tests to determine the significance of categorical associations with cancer outcomes. This rigorous methodology allowed for the calculation of malignancy rates and the identification of potential clinical predictors. The study design focused on providing a clear assessment of diagnostic outcomes for these specific imaging findings.
Main Results:
The final data set comprised 85 breast examinations from 83 women with a median age of 56 years. Key findings from the literature indicate an overall malignancy rate of 20% for these asymmetries. Pathologic review revealed that 80% of the cases were benign, with fibrocystic changes being the most common diagnosis. Among the 17 identified malignancies, 15 were invasive cancers, representing 88% of the cancer cases. A personal history of breast cancer served as a significant predictor, with 35% of these women having malignancy compared to 10% of others. The interrater reliability for the initial reader study was moderate, with a Fleiss kappa of 0.45. Majority agreement was reached in 89% of the initial 95 examinations reviewed by the radiologists. These results demonstrate that these tomographic findings carry a substantial risk of cancer despite the lack of secondary imaging targets.
Conclusions:
The authors report that these specific breast findings carry a twenty percent risk of malignancy. This observed rate exceeds the frequency of cancer typically associated with similar abnormalities detected on conventional two-dimensional mammography. Most detected cancers were identified as invasive rather than non-invasive disease types. Patients with a prior history of breast cancer showed a significantly higher likelihood of receiving a malignant diagnosis. The researchers suggest that these findings warrant biopsy even when ultrasound imaging fails to provide a targetable correlate. These results provide a baseline for clinicians to counsel patients regarding the necessity of tissue sampling for such lesions. The study highlights the importance of monitoring these tomographic changes despite the absence of secondary imaging evidence. Future clinical practice should incorporate these risk estimates when determining the management of persistent breast asymmetries.
The researchers identified a 20% malignancy rate among the examined asymmetries. This outcome is notably higher than the cancer frequency observed for similar findings on standard digital mammography. The majority of these malignant cases, specifically 88%, were classified as invasive cancers.
The study utilized tomosynthesis-guided biopsies to obtain tissue samples. These procedures were performed at a single medical institution between May 2017 and January 2020 to ensure a consistent data set for analysis.
A reader study involving three breast imaging radiologists was required to confirm the inclusion of cases. This process achieved moderate interrater reliability, measured by a Fleiss kappa value of 0.45, ensuring the consistency of the selected study cohort.
The authors extracted patient demographics, imaging features, and final pathologic diagnoses from electronic medical records. These data points allowed the team to correlate specific clinical histories with the likelihood of finding cancer.
The researchers measured the association between a personal history of breast cancer and malignancy. They observed that women with such a history had a 35% malignancy rate, compared to 10% for those without, yielding a statistically significant p-value of .02.
The authors propose that these findings require biopsy even when ultrasound imaging is negative. They imply that the higher-than-expected cancer risk necessitates a more aggressive diagnostic approach than previously assumed for occult tomographic asymmetries.