Objective: This study aims to analyse the imaging manifestations of granulomatous mastitis (GM) and invasive ductal carcinoma (IDC) using conventional ultrasound (US) and contrast-enhanced ultrasound (CEUS). The objective is to investigate the clinical value of CEUS in differentiating between GM and IDC.
Methods: We retrospectively enrolled 39 GM patients and 64 IDC patients between January 2020 and June 2023. All diagnoses were confirmed via core needle biopsy or surgical pathology. The characteristics of both conventional US and CEUS in these patients were analysed to distinguish GM from IDC.
Results: Based on CEUS features, GM lesions most commonly presented as hypoechoic areas (43.6%), followed by pseudocysts (28.2%), hypoechoic nodules (15.4%), and honeycomb cysts (12.8%). The diffuse enhancement pattern was an independent characteristic for distinguishing GM from IDC, with the ROC analysis revealing an area under the curve (AUC) value of 0.794.
Conclusion: US is the preferred initial examination for GM, and both its conventional and CEUS features can enhance diagnostic accuracy and guide clinical treatment. CEUS demonstrates high differential diagnostic value in distinguishing GM from IDC.
Advances In Knowledge: This study categorizes GM manifestations on CEUS into four types, each corresponding to different pathological stages of GM. We identified that the diffuse enhancement pattern on CEUS is a distinctive characteristic associated with GM, aiding in its differentiation from IDC.
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http://dx.doi.org/10.1093/bjr/tqae199 | DOI Listing |
Arch Gynecol Obstet
January 2025
Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi, China.
Purpose: This case report aims to present a rare case of endometrial carcinosarcoma, a highly malignant tumor with a poor prognosis. The primary objective is to describe this unique case's clinical presentation, multimodal magnetic resonance imaging (MRI) features, typical histopathological characteristics and surgical treatment.
Methods: A detailed analysis of the patient's medical history, preoperative imaging evaluation, and treatment approach was conducted.
Cancers (Basel)
December 2024
Department of Radiology, Kansai Medical University, Hirakata 573-1010, Osaka, Japan.
The liver is supplied by a dual blood flow system consisting of the portal vein and hepatic artery. Imaging techniques for diagnosing hepatocellular carcinoma (HCC) have been developed along with blood flow imaging, which visualizes the amount of arterial and portal blood flow. The diagnosis of HCC differentiation is important for early-stage liver cancer screening and determination of treatment strategies.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
Clinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany.
: The number of incidental renal lesions identified in CT scans of the abdomen is increasing. Objective: The aim of this study was to determine whether hyperdense renal lesions without solid components in a portal venous CT scan can be clearly classified as vascular or non-vascular by material decomposition into iodine and water. This retrospective single-center study included 26 patients (mean age 72 years ± 9; 16 male) with 42 hyperdense renal lesions (>20 HU) in a contrast-enhanced Photon-Counting Detector CT scan (PCD-CT) between May and December 2022.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Gastroenterology and Hepatology, "Victor Babeș" University of Medicine and Pharmacy, 300041 Timișoara, Romania.
Contrast-enhanced ultrasound (CEUS) has become the preferred method for many clinicians in evaluating focal liver lesions (FLLs) initially identified through standard ultrasound. However, in clinical practice, certain lesions may deviate from the typical enhancement patterns outlined in EFSUMB guidelines. This study aims to assess FLLs that remained inconclusive or misdiagnosed after CEUS evaluation, spanning eight years of single-center experience.
View Article and Find Full Text PDFJ Comput Assist Tomogr
January 2025
Department of Radiology, Shaoxing People's Hospital (Zhejiang University Shaoxing Hospital), Shaoxing, Zhejiang, China.
Objective: To develop a machine learning model that integrates clinical features and multisequence MRI radiomics for noninvasively predicting the expression status of prognostic-related factors cyclin D1 and TGF-β1 in breast cancer, providing additional information for the clinical development of personalized treatment plans.
Methods: A total of 123 breast cancer patients confirmed by surgical pathology were retrospectively enrolled in our Hospital from January 2016 to July 2022. The patients were randomly divided into a training group (87 cases) and a validation group (36 cases).
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