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  <title>ScholarWorks Collection:</title>
  <link rel="alternate" href="https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/281" />
  <subtitle />
  <id>https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/281</id>
  <updated>2026-04-04T09:36:27Z</updated>
  <dc:date>2026-04-04T09:36:27Z</dc:date>
  <entry>
    <title>Unravelling interobserver variability in gastrointestinal glandular neoplasia: a contemporary study of US and Korean pathologists</title>
    <link rel="alternate" href="https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64127" />
    <author>
      <name>Pacheco, Richard R.</name>
    </author>
    <author>
      <name>Kim, Hyunki</name>
    </author>
    <author>
      <name>Choi, Won-Tak</name>
    </author>
    <author>
      <name>Kook, Myeong-Cherl</name>
    </author>
    <author>
      <name>Cho, Mee-Yon</name>
    </author>
    <author>
      <name>Karamchandani, Dipti M.</name>
    </author>
    <author>
      <name>Lee, Michael J.</name>
    </author>
    <author>
      <name>Kim, Baek-Hui</name>
    </author>
    <author>
      <name>Lee, Sung-Hak</name>
    </author>
    <author>
      <name>Yang, Zhaohai</name>
    </author>
    <author>
      <name>Kim, Jihun</name>
    </author>
    <author>
      <name>Lagana, Stephen M.</name>
    </author>
    <author>
      <name>Lee, Hwajeong</name>
    </author>
    <id>https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64127</id>
    <updated>2025-02-03T02:30:07Z</updated>
    <published>2024-12-01T00:00:00Z</published>
    <summary type="text">Title: Unravelling interobserver variability in gastrointestinal glandular neoplasia: a contemporary study of US and Korean pathologists
Authors: Pacheco, Richard R.; Kim, Hyunki; Choi, Won-Tak; Kook, Myeong-Cherl; Cho, Mee-Yon; Karamchandani, Dipti M.; Lee, Michael J.; Kim, Baek-Hui; Lee, Sung-Hak; Yang, Zhaohai; Kim, Jihun; Lagana, Stephen M.; Lee, Hwajeong
Abstract: AimsInterobserver variability in the assessment of gastric neoplasia biopsies between most Western and Eastern (predominantly represented by Japanese in the literature) pathologists has been documented. It is unknown if such variability exists between the US and Korean pathologists in the current era.MethodsTen gastrointestinal (GI) pathologists from the USA (n=5) and South Korea (n=5) evaluated 100 scanned images of gastric (n=50) and colorectal (n=50) neoplasia biopsies and answered multiple questionnaires. Consensus was defined as the answer chosen by the majority. Cohen&amp;apos;s (&amp;amp; kappa;c) and Fleiss&amp;apos; kappa (&amp;amp; kappa;f) values were calculated between the consensus of the two groups and among the raters, respectively.ResultsBoth groups reached a consensus in the majority of cases (74%-100%) with slight to perfect intergroup (&amp;amp; kappa;c=0.049-1.000) and no to substantial intragroup (&amp;amp; kappa;f=-0.083 to 0.660) agreements. For gastric neoplasia, Korean pathologists relied heavily on cytoarchitectural atypia, whereas the US pathologists focused on stromal invasion when diagnosing adenocarcinoma. For colorectal neoplasia, the Korean pathologists identified concurrent intramucosal carcinoma when diagnosing invasive adenocarcinoma, while the presence of desmoplasia was a prerequisite for the diagnosis of invasive adenocarcinoma for the US pathologists.ConclusionsFor GI neoplasia biopsy interpretation, the diagnostic approach of Korean pathologists is similar to that of Eastern/Japanese pathologists. Consensus outperformed kappa statistics in capturing the magnitude of inter-rater and intergroup reliability, highlighting the potential benefit of consensus meetings to decrease the gap between Western and Eastern diagnostic approaches.</summary>
    <dc:date>2024-12-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Clinical applications of shear wave dispersion imaging for breast lesions: a pictorial essay</title>
    <link rel="alternate" href="https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64142" />
    <author>
      <name>Bae, Min Sun</name>
    </author>
    <author>
      <name>Kim, Hyo Young</name>
    </author>
    <author>
      <name>Oh, Hyunseung</name>
    </author>
    <author>
      <name>Seo, Bo Kyoung</name>
    </author>
    <id>https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64142</id>
    <updated>2024-05-16T03:00:22Z</updated>
    <published>2023-10-01T00:00:00Z</published>
    <summary type="text">Title: Clinical applications of shear wave dispersion imaging for breast lesions: a pictorial essay
Authors: Bae, Min Sun; Kim, Hyo Young; Oh, Hyunseung; Seo, Bo Kyoung
Abstract: Shear wave dispersion (SWD) imaging is a newly developed ultrasound technology designed to evaluate the dispersion slope of shear waves, which is related to tissue viscosity. This advanced imaging technique holds potential for distinguishing malignant lesions from benign lesions and normal breast tissue. The SWD slope, as determined by shear wave elastography (SWE), could offer crucial insights into the characterization of breast lesions. This article presents SWE and SWD images of both malignant and benign breast lesions, in addition to normal breast tissue.</summary>
    <dc:date>2023-10-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Significance of 8-OHdG Expression as a Predictor of Survival in Colorectal Cancer</title>
    <link rel="alternate" href="https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64154" />
    <author>
      <name>Kang, Myunghee</name>
    </author>
    <author>
      <name>Jeong, Soyeon</name>
    </author>
    <author>
      <name>Park, Sungjin</name>
    </author>
    <author>
      <name>Nam, Seungyoon</name>
    </author>
    <author>
      <name>Chung, Jun-Won</name>
    </author>
    <author>
      <name>Kim, Kyoung Oh</name>
    </author>
    <author>
      <name>An, Jungsuk</name>
    </author>
    <author>
      <name>Kim, Jung Ho</name>
    </author>
    <id>https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64154</id>
    <updated>2024-12-14T02:01:06Z</updated>
    <published>2023-09-01T00:00:00Z</published>
    <summary type="text">Title: Significance of 8-OHdG Expression as a Predictor of Survival in Colorectal Cancer
Authors: Kang, Myunghee; Jeong, Soyeon; Park, Sungjin; Nam, Seungyoon; Chung, Jun-Won; Kim, Kyoung Oh; An, Jungsuk; Kim, Jung Ho
Abstract: Simple Summary Although oxidative stress regulates essential signaling pathways, oxidative DNA damage causes cancer initiation and progression. Given that the relationship between oxidative stress and colorectal cancer (CRC) remains poorly understood, we performed immunohistochemistry to detect 8-hydroxy-2 &amp;amp; PRIME; deoxyguanosine (8-OHdG) in 564 patients with CRC and conducted survival analysis based on the pathological stage to identify novel biomarkers. We found that low 8-OHdG levels were associated with a poor prognosis. Further, when 8-OHdG expression was combined with the tumor node metastasis stage, if 8-OHdG expression was low in the same stage, the prognosis was poor, suggesting that 8-OHdG may be an essential biomarker of CRC.Abstract The incidence of colorectal cancer (CRC) is increasing worldwide. 8-hydroxy-2 &amp;amp; PRIME;-deoxyguanosine (8-OHdG), one of the most prevalent DNA alterations, is known to be upregulated in several carcinomas; however, 8-OHdG has not been used to predict the prognosis of patients with CRC. We aimed to determine 8-OHdG levels in patients with CRC using immunohistochemistry and conducted a survival analysis according to the pathological stage. The 5-year event-free survival (EFS) and disease-specific survival (DSS) hazard ratios (HRs) of the low 8-OHdG subgroup were 1.41 (95% confidence interval (CI): 1.01-1.98, p = 0.04) and 1.60 (95% CI: 1.12-2.28, p = 0.01), respectively. When tumor node metastasis (TNM) staging and 8-OHdG expression were combined, the 5-year EFS and DSS HRs of patients with CRC with low 8-OHdG expression cancer at the same TNM stage (stage III/Ⅳ) were 1.51 (95% CI: 1.02-2.22, p = 0.04) and 1.64 (95% CI: 1.09-2.48, p = 0.02), respectively, compared to those with high 8-OHdG expression cancer, indicating a poor prognosis. Therefore, low 8-OHdG expression is a significant predictive factor for 5-year EFS and DSS in patients with CRC, and it can serve as an essential biomarker of CRC.</summary>
    <dc:date>2023-09-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Efficient diagnosis of IDH-mutant gliomas: 1p/19qNET assesses 1p/19q codeletion status using weakly-supervised learning</title>
    <link rel="alternate" href="https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64147" />
    <author>
      <name>Kim, Gi Jeong</name>
    </author>
    <author>
      <name>Lee, Tonghyun</name>
    </author>
    <author>
      <name>Ahn, Sangjeong</name>
    </author>
    <author>
      <name>Uh, Youngjung</name>
    </author>
    <author>
      <name>Kim, Se Hoon</name>
    </author>
    <id>https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64147</id>
    <updated>2024-12-14T02:01:00Z</updated>
    <published>2023-09-01T00:00:00Z</published>
    <summary type="text">Title: Efficient diagnosis of IDH-mutant gliomas: 1p/19qNET assesses 1p/19q codeletion status using weakly-supervised learning
Authors: Kim, Gi Jeong; Lee, Tonghyun; Ahn, Sangjeong; Uh, Youngjung; Kim, Se Hoon
Abstract: Accurate identification of molecular alterations in gliomas is crucial for their diagnosis and treatment. Although, fluorescence in situ hybridization (FISH) allows for the observation of diverse and heterogeneous alterations, it is inherently time-consuming and challenging due to the limitations of the molecular method. Here, we report the development of 1p/19qNET, an advanced deep-learning network designed to predict fold change values of 1p and 19q chromosomes and classify isocitrate dehydrogenase (IDH)-mutant gliomas from whole-slide images. We trained 1p/19qNET on next-generation sequencing data from a discovery set (DS) of 288 patients and utilized a weakly-supervised approach with slide-level labels to reduce bias and workload. We then performed validation on an independent validation set (IVS) comprising 385 samples from The Cancer Genome Atlas, a comprehensive cancer genomics resource. 1p/19qNET outperformed traditional FISH, achieving R2 values of 0.589 and 0.547 for the 1p and 19q arms, respectively. As an IDH-mutant glioma classifier, 1p/19qNET attained AUCs of 0.930 and 0.837 in the DS and IVS, respectively. The weakly-supervised nature of 1p/19qNET provides explainable heatmaps for the results. This study demonstrates the successful use of deep learning for precise determination of 1p/19q codeletion status and classification of IDH-mutant gliomas as astrocytoma or oligodendroglioma. 1p/19qNET offers comparable results to FISH and provides informative spatial information. This approach has broader applications in tumor classification.</summary>
    <dc:date>2023-09-01T00:00:00Z</dc:date>
  </entry>
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