Tae Jung Kim

BRAF Mutation and Tumor Growth Kinetics during Active Surveillance of Papillary Thyroid Microcarcinoma: A Single-Center Retrospective Study

Jinyoung Kim, Min Kyoung Lee, Tae Jung Kim, Dong-Jun Lim et autres

BACKGRUOUND: We investigated tumor volume doubling time (TVDT) during active surveillance of papillary thyroid microcarcinoma (PTMC) and reviewed clinical factors including BRAF mutation associated with tumor progression. METHODS: Patients with PTMC who deferred surgery for more than 1 year after diagnosis between …

kr (code pays fourni par la source)

A Grading System for Resected Invasive Squamous Cell Carcinoma of the Lung: A Multi-Institutional Study by the IASLC Pathology Committee

Mari Mino–Kenudson, Sabina Berezowska, Yuko Minami, Shuyan Chen et autres

us, ch, jp, th, kr, it, ca, es, nl, fr, gb, in, cn, au (code pays fourni par la source)

Impact of KMT2A Rearrangement on Peripheral T-Cell Lymphoma, Not Otherwise Specified, and Angioimmunoblastic T-Cell Lymphoma

Tong Yoon Kim, Tae Jung Kim, Eun Ji Han, Gi June Min et autres

Background: Angioimmunoblastic T-cell lymphoma (AITL) and peripheral T-cell lymphomas (PTCL), not otherwise specified (NOS), share overlapping histology and T-follicular helper (TFH) biology but often show divergent outcomes and treatment needs. The clinical significance of KMT2A rearrangement (KMT2A-r) in nodal PTCL remains undefined. …

kr (code pays fourni par la source)

Survival Machine Learning Methods Improve Prediction of Histologic Transformation in Follicular and Marginal Zone Lymphomas

Tong Yoon Kim, Tae Jung Kim, Eun Ji Han, Gi June Min et autres

Background/Objectives: Follicular lymphoma (FL) and marginal zone lymphoma (MZL) are low-grade B-cell lymphomas (LGBCLs) with indolent clinical courses but a lifelong risk of histologic transformation (HT) to aggressive lymphomas, particularly diffuse large B-cell lymphoma. Predicting HT can be challenging due to class …

kr, us, gb (code pays fourni par la source)

Impact of KMT2A Rearrangement on Peripheral T‑Cell Lymphoma, Not Otherwise Specified, and Angioimmunoblastic T‑Cell Lymphoma

Tong Yoon Kim, Tae Jung Kim, Eun Ji Han, Gi June Min et autres

Background: Angioimmunoblastic T‑cell lymphoma (AITL) and peripheral T‑cell lymphomas (PTCL), not otherwise specified (NOS), share overlapping histology and T‑follicular helper (TFH) biology but often show divergent outcomes and treatment needs. The clinical significance of KMT2A rearrangement (KMT2A‑r) in nodal PTCL remains undefined. …

kr (code pays fourni par la source)

Prognostic factors affecting mortality in elderly, low body mass index, and poor performance status groups with lung cancer: analysis of the 2016 Korean Association of Lung Cancer Registry (KALC-R) database

Kyu Yean Kim, Jeong Uk Lim, Ho Cheol Kim, Tae Jung Kim et autres

Background: Recent advancements in lung cancer treatment have brought about a paradigm shift that raises the possibility of treatment for populations who were previously not considered for lung cancer therapy. In light of these developments, it is necessary to reassess the treatment …

kr, in, ie (code pays fourni par la source)

Survival Machine Learning Methods Improve Prediction of Histologic Transformation in Follicular and Marginal Zone Lymphomas

Tong Yoon Kim, Tae Jung Kim, Eun Ji Han, Gi June Min et autres

Background/Objectives: Follicular lymphoma (FL) and marginal zone lymphoma (MZL) are low-grade B-cell lymphomas (LGBCLs) with indolent clinical courses but lifelong risk of histologic transformation (HT) to aggressive lymphomas, particularly diffuse large B-cell lymphoma. Predicting HT can be challenging due to class imbalance …

kr, us (code pays fourni par la source)

Spatial Omics Profiling of Treatment-Naïve Lung Adenocarcinoma with Brain Metastasis as the Initial Presentation

Seoyeon Gwon, Inju Cho, S Y Lee, Kyue-Hee Choi et autres

Background/Objectives: Brain metastasis (BM) is a common and often early manifestation in lung adenocarcinoma (LUAD), yet its tumor microenvironment remains poorly defined at the time of initial diagnosis. This study aims to characterize early immune microenvironmental alterations in synchronous BM using spatial …

kr (code pays fourni par la source)

Evaluating the diagnostic accuracy of dynamic CT transmural sign for T staging of gastric cancer compared to conventional CT criteria

Bona Lee, Dong Jin Chung, M. Jo, Seungeun Lee et autres

BACKGROUND: To retrospectively evaluate the diagnostic performance of pre-procedural multidetector computed tomography (MDCT) using dynamic CT transmural (CTTM) criteria for T staging of gastric cancer. METHODS: This retrospective study enrolled 116 patients who underwent three-phase dynamic MDCT and subsequently received endoscopic treatment …

kr (code pays fourni par la source)

Advancements in Electronic Medical Records for Clinical Trials: Enhancing Data Management and Research Efficiency

Mingyu Lee, Kyuri Kim, Yoojin Shin, Y.K. Lee et autres

Recent advancements in electronic medical records (EMRs) have transformed clinical trials and healthcare systems by improving data accuracy, regulatory compliance, and integration with decision support tools. These innovations enhance trial efficiency, streamline patient recruitment, and enable large-scale data analysis while bridging clinical …

kr (code pays fourni par la source)

Spatial Omics in Clinical Research: A Comprehensive Review of Technologies and Guidelines for Applications

Y.K. Lee, Mingyu Lee, Yoojin Shin, Kyuri Kim et autres

Spatial omics integrates molecular profiling with spatial tissue context, enabling high-resolution analysis of gene expression, protein interactions, and epigenetic modifications. This approach provides critical insights into disease mechanisms and therapeutic responses, with applications in cancer, neurology, and immunology. Spatial omics technologies, including …

kr (code pays fourni par la source)

Artificial Intelligence-Powered Quality Assurance: Transforming Diagnostics, Surgery, and Patient Care—Innovations, Limitations, and Future Directions

Yoojin Shin, Mingyu Lee, Y.K. Lee, Kyuri Kim et autres

Artificial intelligence is rapidly transforming quality assurance in healthcare, driving advancements in diagnostics, surgery, and patient care. This review presents a comprehensive analysis of artificial intelligence integration-particularly convolutional and recurrent neural networks-across key clinical domains, significantly enhancing diagnostic accuracy, surgical performance, and …

kr (code pays fourni par la source)