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    <title>ScholarWorks Collection:</title>
    <link>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/378</link>
    <description />
    <pubDate>Fri, 24 Jul 2026 19:25:47 GMT</pubDate>
    <dc:date>2026-07-24T19:25:47Z</dc:date>
    <item>
      <title>Deep Learning-Based Anatomical Segmentation of the Foot and Ankle: A Multi-View Radiograph Approach</title>
      <link>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/218680</link>
      <description>Title: Deep Learning-Based Anatomical Segmentation of the Foot and Ankle: A Multi-View Radiograph Approach
Authors: Lim, Hyojin; Oh, Jaehoon; Kim, Tae Hyun; Lee, Juncheol; Chung, Jae Ho; Lee, Dong Keon
Abstract: Purpose: We aimed to develop deep learning models that can identify and separate the shapes of 14 bones in the foot and ankle using multi-view radiographs and predict their masks. Materials and Methods: We retrospectively collected 273 radiographs from 99 patients with anatomically normal feet, including anteroposterior (AP), oblique (OBL), and lateral (LAT) views, obtained between January 2020 and December 2021. In each view, 14 bones were segmented using AP and OBL radiographs and 6 bones using LAT radiographs. Ground truth masks were manually annotated by two radiology technologists and reviewed by an emergency medicine physician. Two deep learning models, a fully convolutional network (FCN) with ResNet-50 and DeepLabv3 with ResNet-50, were independently fine-tuned for semantic segmentation and evaluated using five-fold cross-validation. Results: In the AP and OBL views, both models attained mean intersection over union (mIoU) values ranging from 0.899 to 0.975 and from 0.875 to 0.978, respectively. In the LAT view, mIoU values varied from 0.926 to 0.976 for FCN-ResNet-50 and from 0.872 to 0.961 for DeepLabv3. FCN-ResNet-50 achieved slightly higher mIoU values than DeepLabv3, with statistically significant differences identified between the two models in the overall OBL view and across the 14 specific bones (p&amp;lt;0.05). Conclusion: The FCN-ResNet-50 and DeepLabv3 models could be effective in automatically segmenting foot and ankle bone structures using multi-view radiographs.</description>
      <pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/218680</guid>
      <dc:date>2026-07-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Enhanced MSC spheroid adhesion on 3D-printed leaf-stacked scaffolds for functional tracheal regeneration</title>
      <link>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211011</link>
      <description>Title: Enhanced MSC spheroid adhesion on 3D-printed leaf-stacked scaffolds for functional tracheal regeneration
Authors: Han, Sang-Yoon; Park, Jae Keun; Choi, Ji Suk; Jeong, Eun Ji; Eom, Min Rye; Seok, Ji Min; Kim, Min Ji; Park, Su A.; Oh, Se Heang; Kwon, Seong Keun
Abstract: Reconstruction of segmental tracheal defects using three-dimensional (3D)-printed scaffolds remains a formidable challenge. While polycaprolactone (PCL) is widely utilized for its mechanical integrity, its inherent hydrophobicity limits cellular adhesion and tissue integration. In this study, we developed a 3D-printed PCL tracheal scaffold featuring a Leaf-Stacked Structure (LSS) and evaluated a spatially organized Mesenchymal Stem Cell (MSC) delivery strategy for functional regeneration. MSC spheroids were employed to overcome the limitations of monolayer cells, as their 3D configuration creates an internal hypoxic core that upregulates angiogenic and anti-inflammatory genes, thereby maximizing paracrine-mediated tissue repair. In vitro analyses, including cell adhesion assays and indirect co-culture systems, demonstrated that the LSS topography significantly enhanced the adhesion of both monolayer MSC and spheroids compared to plain PCL. Furthermore, MSC spheroids markedly promoted the proliferation and migration of human small airway epithelial cells. Based on these findings, we compared five experimental groups in a rabbit tracheal defect model: (1) Native, (2) No MSC, (3) Inner MSC (monolayer), (4) Outer spheroid, and (5) Dual group (combined inner monolayer and outer spheroids). In vivo, the Dual group exhibited the most robust mucosal regeneration, alongside an immunomodulatory shift toward increased M2/M1 macrophage ratios. Although neovascularization was prominent at MSC implantation sites, lineage analysis via β2-microglobulin tracking revealed that vessel-forming cells were primarily host-derived. This confirms that implanted MSC survived for 14 weeks and orchestrated regeneration predominantly through paracrine mechanisms.Collectively, the integration of LSS topography and spatially organized MSC represents a promising synergistic strategy for functional tracheal reconstruction.</description>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211011</guid>
      <dc:date>2026-06-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Hearing loss phenotypes in Alport syndrome: experience in a tertiary referral center</title>
      <link>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212773</link>
      <description>Title: Hearing loss phenotypes in Alport syndrome: experience in a tertiary referral center
Authors: Han, Sang-Yoon; Suh, Myung-Whan; Park, Moo Kyun; Lee, Jun Ho; Kang, Hee Gyung; Lee, Sang-Yeon
Abstract: Background: Despite previous reports of auditory phenotypes in Alport syndrome (AS), there have been no studies specifically addressing audiological phenotypes in South Korea. Herein, we elaborated on the audiological characteristics associated with AS based on their genotypes. Methods: We reviewed data from in-house AS patients between March 2014 and February 2023, excluding those without audiological documentation or genetic diagnoses. We retrieved medical history, hearing level, estimated glomerular filtration rate (eGFR), and genotypes from their medical records. The natural course of hearing loss and correlations between audiogram and eGFR were evaluated according to audio-gene profiles. Results: Our study included 49 AS patients from 47 families, identifying 60 disease-causing variants, 45 of which were novel. All variants were classified as pathogenic or likely pathogenic based on ACMG-AMP guidelines. The auditory phenotypes of autosomal recessive AS (ARAS) and male X-linked AS (XLAS) patients demonstrated a progressive nature, with a down-sloping configuration. The ARAS with truncated variants exhibited an earlier onset of hearing loss than those with non-truncated variants. In male XLAS patients, the presence of truncated allele linked to more rapid hearing deterioration across all frequencies. In both ARAS and male XLAS patients, the presence of truncated allele was significantly associated with hearing severity and eGFR. Conversely, the majority of female XLAS and autosomal dominant AS maintained normal hearing levels without any correlation of eGFR, regardless of genotypes. Conclusion: This study detailed the auditory phenotypes and the auditory-renal association of AS at a tertiary center in South Korea, providing valuable references that guide auditory testing and rehabilitation strategies.</description>
      <pubDate>Fri, 01 May 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212773</guid>
      <dc:date>2026-05-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Postoperative pain outcomes following thyroidectomy: a systematic review and network meta-analysis of various surgical approaches</title>
      <link>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/214344</link>
      <description>Title: Postoperative pain outcomes following thyroidectomy: a systematic review and network meta-analysis of various surgical approaches
Authors: Nguyen, Van Cuong; Song, Chang Myeon; Ji, Yong Bae; Moon, Shinje; Park, Jung Hwan; Russell, Jonathon O.; Randolph, Gregory W.; Tae, Kyung
Abstract: Purpose: Remote-access thyroidectomy techniques and minimally invasive video-assisted thyroidectomy (MIVAT) have been developed to optimize cosmetic outcomes and potentially improve recovery, particularly in the case of MIVAT, compared with the conventional transcervical approach (CTA). However, comparative evidence regarding postoperative pain outcomes remains limited. This study aims to evaluate postoperative pain outcomes among MIVAT and five remote-access approaches-breast approach (BA), bilateral axillo-breast approach (BABA), gasless transaxillary approach (GTAA), retroauricular approach (RA), and transoral approach (TOA)-in comparison with CTA.
Methods: A systematic review and network meta-analysis were conducted. PUBMED, EMBASE, and the Cochrane Library were searched through March 2025. Pain outcomes across surgical approaches were compared using a frequentist random-effects network meta-analysis.
Results: Sixty-one studies involving 9,780 patients were included. On postoperative day one, MIVAT was associated with the lowest pain scores, followed by the BA and TOA. At one-week and one-month follow-ups, MIVAT and TOA consistently exhibited the most favorable pain outcomes. Conversely, the RA and BABA were linked to the highest pain scores on day one and at one week. Differences in postoperative pain between robotic and endoscopic techniques within the same approach were not significant, although robotic RA and robotic TOA showed lower pain scores than those of their endoscopic counterparts.
Conclusion: MIVAT and TOA provide superior postoperative pain outcomes than those of CTA and other remote-access approaches. Robotic techniques may offer additional benefits over endoscopic methods in selected cases. These findings may support more patient-centered surgical decision-making.</description>
      <pubDate>Fri, 01 May 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/214344</guid>
      <dc:date>2026-05-01T00:00:00Z</dc:date>
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