Publications by authors named "Seung Jin Yoo"

Background: Aimed to report the prevalence and predisposing factors affecting subscapularis muscle atrophy and fatty infiltration (MAFI) in patients without a subscapularis tear, and to analyze the effect of this condition on surgical outcomes.

Methods: Between 2020 and 2022, 153 patients (mean age 58.1 ± 10.

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Objectives: To determine the risk factors for mortality in Korean patients with rheumatoid arthritis (RA)-associated interstitial lung disease (ILD) in comparison to patients with RA but without ILD (RA-nonILD).

Methods: Data were extracted from a single-centre prospective cohort of RA patients with a chest computed tomography scan at an academic referral hospital in Korea. Patients with RA-ILD enroled between May 2017 and August 2022 were selected, and those without ILD were selected as comparators.

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Article Synopsis
  • The study aimed to assess the relevance of the advanced lung cancer inflammation index (ALI) as a prognostic tool for patients with limited-stage small-cell lung cancer (LS-SCLC) receiving chemo-radiotherapy.
  • 87 patients were analyzed, with results showing that those in the high ALI group had better overall survival compared to the low ALI group.
  • The findings indicate that a high ALI score can be used to predict better survival outcomes and may help inform treatment decisions for LS-SCLC patients.
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Purpose: This study aimed to compare the 5-year clinical and functional outcomes, including repaired tendon healing status, between early and delayed rehabilitation after arthroscopic rotator cuff repair METHODS: A total of 75 patients with rotator cuff tears (less than 5 cm) underwent arthroscopic repairs over a 60-month period. Participants were randomly assigned to early and delayed postoperative rehabilitation groups with distinct protocols. Clinical and functional outcome measures included Constant score, University of California at Los Angeles (UCLA) score, visual analogue scale for pain and isokinetic dynamometer test for muscle strength recovery.

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Purpose: To prospectively evaluate whether Lung-RADS classification and volumetric nodule assessment were feasible with ultralow-dose (ULD) chest CT scans with deep learning image reconstruction (DLIR).

Methods: The institutional review board approved this prospective study. This study included 40 patients (mean age, 66±12 years; 21 women).

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Background: We have applied primarily multiple locking compression miniplates in treating multifragmentary, comminuted patellar fracture in combination with conventional fixation methods.

Methods: Medical and radiologic data were retrospectively reviewed for the patients surgically fixated with locking compression miniplates in patellar fracture of AO/OTA 34-C3. The primary outcome was bone union at the final follow-up, and the secondary outcomes were functional outcomes and postoperative complications associated with the procedure.

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Lipofibromatous hamartoma, first reported in 1953, is a rare, slowly progressive soft tissue tumor, the characteristics of which include the enlargement of the affected nerve via the epineurial and perineurial proliferation of adipose and fibrous tissues. Out of 200 previously reported cases of lipofibromatous hamartoma of the median nerve, there have been approximately 25 pediatric cases under the age of 18. Herein, we report a case of lipofibromatous hamatoma of the median nerve in a 3-year-old female patient who was surgically decompressed via carpal tunnel release and epineurolysis.

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Numerous studies have investigated factors associated with osteoarthritis (OA), but few have investigated their effects on psychological problems and health-related quality of life in older adults with OA. We aimed to investigate factors associated with OA and their influence on health-related quality of life in older adults with OA. Among 1394 participants aged ≥65 years, 952 and 442 were categorized into the OA and non-OA groups, respectively.

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Purpose: To develop a generative adversarial network (GAN) to quantify COVID-19 pneumonia on chest radiographs automatically.

Materials And Methods: This retrospective study included 50,000 consecutive non-COVID-19 chest CT scans in 2015-2017 for training. Anteroposterior virtual chest, lung, and pneumonia radiographs were generated from whole, segmented lung, and pneumonia pixels from each CT scan.

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Background: To introduce a prospective cohort for rheumatoid arthritis (RA) patients with interstitial lung disease (ILD) and to identify their clinical features in comparison with RA patients without ILD.

Methods: Using a multidisciplinary collaborative approach, a single-center cohort for RA patients with ILD (RA-ILD) was established in May 2017, and enrolment data from May 2017 to March 2021 were used to compare the clinical features of RA patients without ILD (RA-non ILD). Multivariable logistic regression analysis was used to identify factors associated with ILD in RA patients.

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Osteoid osteoma (OO) is a benign osteoblastic bone tumor typically involving the diaphysis or metaphysis in long tubular bones. OO in phalanges of the great toe has been rarely reported, and it is often challenging to differentiate with subacute osteomyelitis, bone abscess, or osteoblastoma. This case report describes an uncommon case of a 13-year-old female patient with subperiosteal OO in the proximal phalanx of the great toe.

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Purpose: To develop and validate a deep learning-based screening tool for the early diagnosis of scoliosis using chest radiographs with a semi-supervised generative adversarial network (GAN).

Materials And Methods: Using a semi-supervised learning framework with a GAN, a screening tool for diagnosing scoliosis was developed and validated through the chest PA radiographs of patients at two different tertiary hospitals. Our proposed method used training GAN with mild to severe scoliosis only in a semi-supervised manner, as an upstream task to learn scoliosis representations and a downstream task to perform simple classification for differentiating between normal and scoliosis states sensitively.

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Objective: To prospectively evaluate the image quality and diagnostic performance of a compact flat-panel detector (FD) scanner for thoracic diseases compared to a clinical CT scanner.

Materials And Methods: The institutional review board approved this single-center prospective study, and all participants provided informed consent. From December 2020 to May 2021, 30 patients (mean age, 67.

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Article Synopsis
  • A deep learning model was developed to estimate total lung capacity (TLC) from chest radiographs using demographic data, aiming to provide a faster and more efficient alternative to traditional methods.
  • The model was trained on a large dataset of chest CT scans and then fine-tuned with specific chest radiographs and TLC measurements from patients, showing robust technical performance through various testing sets.
  • Results indicated that the model's TLC estimates had a small margin of error, and its predictions were clinically relevant as higher estimated TLC percentages correlated with lower mortality risk in patients with idiopathic pulmonary fibrosis.
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  • Rheumatoid nodules are the most frequent extra-articular signs of rheumatoid arthritis, typically appearing in the subcutaneous area where there's pressure or trauma.
  • A unique case is presented involving large bilateral rheumatoid nodules located in the infrascapular region, an area not previously documented for these nodules.
  • This case poses challenges in diagnosing the nodules on radiological exams, as they can be mistaken for elastofibroma dorsi.
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Osteosarcoma is the most frequent primary malignant bone tumor with higher incidences in children and adolescents. Despite clinical evolutions, patients with osteosacoma have had a poor prognosis. There has been increasing evidence that cancer is a stem cell disease.

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Objective: To explore the effectiveness and feasibility of injectable Escherichia coli-derived recombinant human bone morphogenetic protein-2 (injectable E-rhBMP-2, a combination of E. coli-derived recombinant human bone morphogenic protein-2 and a hydrogel type beta-tricalcium phosphate carrier) as a bone substitute for anterior lumbar interbody fusion (ALIF) of the lumbosacral junction in adult spinal deformity (ASD) patients.

Methods: A prospective single-institution therapeutic exploratory trial was conducted.

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  • The study aimed to create and validate an automated method for measuring COVID-19 pneumonia severity using chest CT scans from 131 patients across several countries.
  • Using a deep learning model called 2D U-Net, researchers segmented pneumonia areas on CT images and tested the system's accuracy against expert radiologists' assessments.
  • Results showed strong correlations between automated measurements and human evaluations, indicating that this method can effectively assess pneumonia extent and weight, which are linked to patient symptoms and outcomes.
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Purpose: Osteosynthesis has been recommended for treatment of Pauwels type III femoral neck fractures in young patients. However, no implant of choice has been reported so far. This study was conducted in order to compare the fixation stability of two conventional fixation methods with three different novel fixed angle devices in this type of fracture.

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Background: Fungal infection secondary to a penetrating plant thorn injury in upper extremities is infrequently reported especially in immunocompetent hosts. Alternaria is a dematicaceous hyphomycete, commonly found in decay and plant pathogens, and Alternaria alternata has been regarded as the most frequent species among more than 400 s of its species. This case is the first report of thorn-induced Alternaria alternata infection of the hand in an immunocompetent host.

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Objective: This study aimed to stratify the early pneumonia trajectory on chest radiographs and compare patient characteristics in dyspneic patients with coronavirus disease 2019 (COVID-19).

Materials And Methods: We retrospectively included 139 COVID-19 patients with dyspnea (87 men, 62.7±16.

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Background: Prevalence, respiratory symptoms, and quality of life (QoL) in post-tuberculosis (TB) subjects with bronchiectasis are not well elucidated.

Methods: Subjects who participated in the Korea National Health and Nutritional Examination Survey 2007-2009 were enrolled in this cross-sectional study. We evaluated the prevalence of physician-diagnosed bronchiectasis among post-TB subjects.

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Objectives: To develop a deep learning-based pulmonary vessel segmentation algorithm (DLVS) from noncontrast chest CT and to investigate its clinical implications in assessing vascular remodeling of chronic obstructive lung disease (COPD) patients.

Methods: For development, 104 pulmonary CT angiography scans (49,054 slices) using a dual-source CT were collected, and spatiotemporally matched virtual noncontrast and 50-keV images were generated. Vessel maps were extracted from the 50-keV images.

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Objective: To develop deep learning-based cardiac chamber enlargement-detection algorithms for left atrial (DLCE-LAE) and ventricular enlargement (DLCE-LVE), on chest radiographs METHODS: For training and internal validation of DLCE-LAE and -LVE, 5,045 chest radiographs (CRs; 2,463 normal and 2,393 LAE) and 1,012 CRs (456 normal and 456 LVE) matched with the same-day echocardiography were collected, respectively. External validation was performed using 107 temporally independent CRs. Reader performance test was conducted using the external validation dataset by five cardiothoracic radiologists without and with the results of DLCE.

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Article Synopsis
  • Genetics and environmental factors, like toxic exposures, play crucial roles in the development of autism spectrum disorder (ASD), with mutations and interactions also being significant.
  • Paternal smoking is identified as a possible risk factor for ASD, supported by biological reasons, its common occurrence, and the possibility of prevention.
  • The study confirms that paternal smoking before and during pregnancy increases the risk of ASD in children, suggesting that smoking prevention efforts could help reduce this risk.
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