Kyu Ran Cho

Prediction of germline BRCA mutation using clinicopathologic, MRI semantic, and radiomics features in high-risk breast cancer patients: a multicenter study

Yoon Sang Cho, Eunje Oh, Yoo Jin Han, Kyu Ran Cho et autres

Background and purpose: BRCA mutations are strongly associated with hereditary breast cancer and have important implications for personalized treatment; however, genetic testing may be costly. This highlights the need for noninvasive, practical approaches to prioritize patients most likely to benefit from confirmatory …

kr, jp (code pays fourni par la source)

Semiautomated breast ultrasound report generation using multimodal large language models and deep learning

Khadija Azhar, Byoung-Dai Lee, Shi Sub Byon, SeungJae Lee et autres

Introduction: Breast ultrasound (US) imaging is essential for early breast cancer detection, yet generating diagnostic reports is labor-intensive, particularly when incorporating multimodal elastography. Methods: This study presents a novel framework that combines multimodal large language models and deep learning to generate semiautomated …

kr (code pays fourni par la source)

Diagnostic performance of shear-wave dispersion imaging and shear-wave elastography for differentiating benign and malignant breast masses

Eunkyung Woo, J. S. Lee, Bo Kyoung Seo, Min Sun Bae et autres

kr, jp (code pays fourni par la source)

Optimized prediction of breast cancer tumor microenvironment using MRI-based intratumoral and peritumoral radiomics: a prospective study

Eun Sil Kim, Sungwon Ham, Bo Kyoung Seo, Ji Young Lee et autres

Objective: The tumor microenvironment (TME), composed of non-tumor elements such as stromal matrix and immune cells, plays a critical role in tumor progression, metastasis, and treatment response. This study aimed to investigate the association between MRI-based intratumoral and peritumoral radiomic features and …

kr, jp, gb, pt (code pays fourni par la source)

Supplemental automated breast ultrasound in negative screening mammography: early-stage cancer detection in dense breasts with limited yield in non-dense breasts

Soo‐Yeon Kim, Sung Eun Song, Min Sun Bae, Kyu Ran Cho et autres

PURPOSE: This study evaluated the performance of supplemental automated breast ultrasound (ABUS) in women with negative screening mammographic findings and assessed its utility across clinical subgroups to inform personalized implementation strategies. METHODS: We retrospectively identified 3,417 ABUS examinations performed concurrently with mammography …

kr (code pays fourni par la source)

Prediction of Germline BRCA Mutations in High-Risk Breast Cancer Patients Using Machine Learning with Multiparametric Breast MRI Features

Hyeonji Park, Kyu Ran Cho, SeungJae Lee, Doo-Hyun Cho et autres

The identification of germline BRCA1/2 (BRCA) mutations plays an important role in the treatment planning of high-risk breast cancer patients, but genetic testing may be costly or unavailable. The multiparametric breast MRI (mpMRI) features offer noninvasive imaging biomarkers that could support BRCA …

kr, jp (code pays fourni par la source)

Invasive Breast Cancers Missed by AI Screening of Mammograms

Ok Hee Woo, Sung Eun Song, Su Jin Choe, M KIM et autres

Among artificial intelligence–missed invasive breast cancers on mammograms, the human epidermal growth factor receptor 2–enriched subtype had the lowest false-negative rate, and dense breasts, nonmammary zone locations, architectural distortions, and amorphous microcalcifications were reasons for misses.

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Superior performance in classification of breast cancer molecular subtype and histological factors by radiomics based on ultrafast MRI over standard MRI: evidence from a prospective study

Juhyun Jeong, Sungwon Ham, Bo Kyoung Seo, Shuncong Wang et autres

PURPOSE: To compare the performance of ultrafast MRI with standard MRI in classifying histological factors and subtypes of invasive breast cancer among radiologists with varying experience. METHODS: From October 2021 to November 2022, this prospective study enrolled 225 participants with 233 breast …

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Performance of Digital Mammography-Based Artificial Intelligence Computer-Aided Diagnosis on Synthetic Mammography From Digital Breast Tomosynthesis

Kyung Eun Lee, Sung Eun Song, Kyu Ran Cho, Min Sun Bae et autres

OBJECTIVE: To test the performance of an artificial intelligence-based computer-aided diagnosis (AI-CAD) designed for full-field digital mammography (FFDM) when applied to synthetic mammography (SM). MATERIALS AND METHODS: We analyzed 501 women (mean age, 57 ± 11 years) who underwent preoperative mammography and …

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Age- and ethnic-driven molecular and clinical disparity of East Asian breast cancers

Ji Yoon Lee, Ji Won Lee, Min Sung Chung, Jong Gwon Choi et autres

BACKGROUND: Breast cancer (BC) is a complex disease with profound genomic aberrations. However, the underlying molecular disparity influenced by age and ethnicity remains elusive. METHODS: In this study, we aimed to investigate the molecular properties of 843 primary and metastatic BC patients …

kr, ch, jp (code pays fourni par la source)

A Comparison of Automatic Bone Age Assessments between the Left and Right Hands: A Tool for Filtering Measurement Errors

Kyu-Chong Lee, Chang Ho Kang, Kyung‐Sik Ahn, Kee‐Hyoung Lee et autres

This study aimed to investigate whether the left and right hands yield the same bone age using the automated bone age assessment (BAA) system and proposed the right-hand BAA as a tool for filtering out measurement errors. The Bland–Altman, Passing–Bablok, and Spearman …

kr (code pays fourni par la source)

AI-Powered Synthesis of Structured Multimodal Breast Ultrasound Reports Integrating Radiologist Annotations and Deep Learning Analysis

Khadija Azhar, Byoung-Dai Lee, Shi Sub Byon, Kyu Ran Cho et autres

Breast cancer is the most prevalent cancer among women worldwide. B-mode ultrasound (US) is essential for early detection, offering high sensitivity and specificity without radiation exposure. This study introduces a semi-automatic method to streamline breast US report generation, aiming to reduce the …

kr (code pays fourni par la source)