Purpose: Although it has been stated that breast hamartomas are rare tumors, radiologists frequently encounter them in their daily practices. Fat, glandular and fibrous tissues all produce a mass of disorganized but mature specialized cells. Because hamartomas do not have specific diagnostic histological features, the clinical and radiological findings are important in their diagnosis. The aim of this study is to present the advanced magnetic resonance imaging (MRI) findings of breast hamartomas.

Materials And Methods: Eight patients with breast hamartomas were examined using MRI techniques in addition to ultrasonographic and/or mammographic findings.

Results: Each of the lesions examined showed a gradual enhancement pattern in its time-signal intensity curve on dynamic contrast-enhanced MRI. On MR spectroscopy, water and lipid peaks were detected that resembled normal breast tissue. The diffusion features of the lesions were variable due to the different ratios of the tissue elements constituting them on diffusion-weighted imaging (DWI).

Conclusion: Advanced MRI findings may clarify diagnoses by providing additional information following sonography, especially in lactating or pregnant women, in whom mammographic examination is not preferred.

Download full-text PDF

Source
http://dx.doi.org/10.4261/1305-3825.DIR.1892-08.2DOI Listing

Publication Analysis

Top Keywords

mri findings
12
breast hamartomas
12
advanced mri
8
patients breast
8
breast
5
findings
4
findings patients
4
hamartomas
4
hamartomas purpose
4
purpose stated
4

Similar Publications

White Matter Fiber Bundle Alterations Correlate with Gait and Cognitive Impairments in Parkinson's Disease based on HARDI Data.

Curr Med Imaging

January 2025

Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong An Road, Xicheng District, Beijing 100050, China.

Background: The neuroanatomical basis of white matter fiber tracts in gait impairments in individuals suffering from Parkinson's Disease (PD) is unclear.

Methods: Twenty-four individuals living with PD and 29 Healthy Controls (HCs) were included. For each participant, two-shell High Angular Resolution Diffusion Imaging (HARDI) and high-resolution 3D structural images were acquired using the 3T MRI.

View Article and Find Full Text PDF

Nondilated left ventricular cardiomyopathy (NDLVC) is a newly defined category of cardiomyopathy. We sought to evaluate and compare the phenotype of NDLVC with DCM using cardiac magnetic resonance (CMR) imaging and to investigate the prognostic significance of these conditions. One hundred and fifty patients suspected of having cardiomyopathy referred for CMR were recruited.

View Article and Find Full Text PDF

Neurocysticercosis (NCC) is caused by the invasion of larvae in the central nervous system (CNS) and stands as the predominant cause of epilepsy and other neurological disorders in many developing nations. NCC diagnosis is challenging because it relies on brain imaging exams (CT or MRI), which are poorly available in endemic rural or resource-limited areas. Moreover, some NCC cases cannot be easily detected by imaging, leading to inconclusive results.

View Article and Find Full Text PDF

Ectopic Thyrotropin-Secreting Tumor in the Nasopharynx Causing Central Hyperthyroidism.

JCEM Case Rep

January 2025

Section of Endocrinology and Investigative Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College, London W12 ONN, UK.

We report a 31-year-old man with diarrhea and tachycardia. Diagnostic workup confirmed raised free thyroid hormones with unsuppressed thyroid stimulating hormone (TSH). Laboratory assay and medication interference were excluded.

View Article and Find Full Text PDF

Multiparameter magnetic resonance imaging-based radiomics model for the prediction of rectal cancer metachronous liver metastasis.

World J Gastrointest Oncol

January 2025

Department of Hepatobiliary and Pancreaticosplenic Surgery, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou 434100, Hubei Province, China.

Background: The liver, as the main target organ for hematogenous metastasis of colorectal cancer, early and accurate prediction of liver metastasis is crucial for the diagnosis and treatment of patients. Herein, this study aims to investigate the application value of a combined machine learning (ML) based model based on the multiparameter magnetic resonance imaging for prediction of rectal metachronous liver metastasis (MLM).

Aim: To investigate the efficacy of radiomics based on multiparametric magnetic resonance imaging images of preoperative first diagnosed rectal cancer in predicting MLM from rectal cancer.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!