류정규 교수

Artificial intelligence (AI) improves the accuracy of mammography screening, but prospective evidence, particularly in a single-read setting, remains limited. This study compares the diagnostic accuracy of breast radiologists with and without AI-based computer-aided detection (AI-CAD) for screening mammograms in a real-world, single-read setting. A prospective multicenter cohort study is conducted within South Korea’s national breast cancer screening program for women. The primary outcomes are s

Color Doppler twinkling artifacts are additional useful sonographic signs in the diagnosis of calcified lesions, urinary and biliary stones, gallbladder adenomyomatosis, and some miscellaneous conditions.

AI-based software improved the performance of radiologists regardless of their experience and affected the reading time.

The T2* value is significantly longer in invasive cancer than in DCIS. In invasive cancers, T2* relaxation time is significantly longer in higher histologic grades and high signal intensity on T2WI. Based on these preliminary data, quantitative T2* mapping has the potential to be useful in the characterization of breast cancer.

Focal musculoskeletal anomalies vary, and can manifest as part of a syndrome or be accompanied by numerous other conditions such as genetic disorders, karyotype abnormalities, central nervous system anomalies and other skeletal anomalies. Isolated focal musculoskeletal anomaly does, however, also occur; its early prenatal diagnosis is important in deciding prenatal care, and also helps in counseling parents about the postnatal effects of numerous possible associated anomalies. We have encountere

We retrospectively reviewed 2 cases of organizing hematomas and 2 cases of intravascular organizing thrombi and investigated correlations between sonographic and pathologic findings. In all 4 cases, a well-defined hypoechoic heterogeneous mass with surrounding increased echogenicity was evident in the subcutaneous fat layer. Organizing hematomas and thrombi have sonographic features similar to those of benign-looking soft tissue tumors. These lesions should therefore be considered in the differe

The purpose of this study was to compare the characteristics of quantitative per-fusion parameters obtained from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in patients with mammographically occult (MO) breast cancers and those with mammographically visible (MV) breast cancers. Quantitative parameters (AUC, Ktrans, kep, ve, vp, and wi) from 13 MO breast cancers and 16 MV breast cancers were mapped after the DCE-MRI data were acquired. Various prog-nostic factors, including a

Quantitative measurement of relaxation parameters in MRI refers to MR relaxometry which implies the measurement of biophysical parameters through decoupling the different contrast mechanisms contributing to the overall MR signal. MR relaxation mapping is important to evaluate the tissue structure and function. Among the quantitative MRI parameters reflecting the local tissue environment, the relaxation times T1, T2, and T2* are the fundamental components (1, 2). The longitudinal (or spin-lattice