Objective: Apparent diffusion coefficient (ADC) values calculated through magnetic resonance imaging have been proposed as a useful tool to distinguish benign from malignant liver lesions. Most studies however included simple cysts in their analysis. Liver cysts are easy to diagnose, have very high ADC values and their inclusion facilitates differentiation in the ADC values between benign and malignant liver lesions groups. We prospectively evaluated the ability of ADC values to differentiate metastatic liver lesions from all benign or only solid benign liver lesions.
Material And Methods: Sixty-seven adult cancer patients with 188 liver lesions were evaluated. Lesions were categorized as metastatic or benign throughout imaging and clinical evaluation. One hundred and five (105) metastatic lesions and 83 benign lesions including hemangiomas (37), cysts (42), adenomas (2) and focal nodular hyperplasias (2) were evaluated. ADC values were calculated for each lesion utilizing two b values (0 and 600 sec/mm2).
Results: The average ADC value for cysts was 2.4×10(-3) mm2/sec (CI: 2.1-2.6), for solid benign lesions was 1.4×10(-3) mm2/sec (CI: 1.1-1.7) and for metastases was 1.0×10(-3) mm2/sec (CI: 0.8-1.3). There was a difference between the ADC values of metastases and benign solid lesions (p<0.0001). With the ADC value of 1.5×10(-3) mm2/sec as a cut off it is possible to distinguish metastatic from benign liver lesions, including cysts, with an accuracy of 78%. But to distinguish metastatic from benign solid liver lesions the best ADC cut off value was 1.2×10(-3) mm2/sec and the accuracy drops to 71%.
Conclusions: ADC values proved to be helpful in the distinction between metastasis and benign solid hepatic lesions. But the exclusion of cysts in the analysis point out to a lower cut off value and lower accuracy than previously reported.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4099077 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0101944 | PLOS |
Abdom Radiol (NY)
January 2025
Department of Radiology, Nanjing Drum Tower Hospital, Clinical College of Nanjing University of Chinese Medicine, No. 321 Zhongshan Road, Nanjing, 210008, China.
Purpose: To evaluate the application of multi-parametric MRI (MP-MRI) combined with radiomics in diagnosing and grading endometrial fibrosis (EF).
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Curr Med Imaging
January 2025
Department of Radiology, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou 434000, Hubei, China.
There exists a close relationship between liver fibrosis and Hepatocellular Carcinoma (HCC). Prolonged progression of liver fibrosis may ultimately lead to cirrhosis, thereby increasing the risk of developing HCC. Current research is exploring non-invasive methods for assessing liver fibrosis.
View Article and Find Full Text PDFAcad Radiol
January 2025
Department of Pathology, General Hospital of Ningxia Medical University, Yinchuan 750004, PR China (N.Z.). Electronic address:
Rationale And Objectives: To develop a machine learning (ML) model based on clinicopathological and imaging features to predict the Human Epidermal Growth Factor Receptor 2 (HER2) positive expression (HER2-p) of breast cancer (BC), and to compare its performance with that of a logistic regression (LR) model.
Materials And Methods: A total of 2541 consecutive female patients with pathologically confirmed primary breast lesions were enrolled in this study. Based on chronological order, 2034 patients treated between January 2018 and December 2022 were designated as the retrospective development cohort, while 507 patients treated between January 2023 and May 2024 were designated as the prospective validation cohort.
Clin Radiol
December 2024
Department of Radiology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, 264200, China. Electronic address:
Aim: To evaluate the diagnostic performance of nonenhanced magnetic resonance imaging (MRI) in grading glioma and correlating isocitrate dehydrogenase (IDH) mutation status.
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Immun Inflamm Dis
January 2025
Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Objective: This study aimed to evaluate the activity of extraocular muscles (EOMs) in patients with thyroid-associated ophthalmopathy (TAO) using turbo spin echo imaging. By analyzing tissue heterogeneity, apparent diffusion coefficient (ADC) histogram analysis offers enhanced insights into edema within the EOMs.
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