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  1. Article ; Online: Learning-based complex field recovery from digital hologram with various depth objects.

    Ju, Yeon-Gyeong / Choo, Hyon-Gon / Park, Jae-Hyeung

    Optics express

    2022  Volume 30, Issue 15, Page(s) 26149–26168

    Abstract: In this paper, we investigate a learning-based complex field recovery technique of an object from its digital hologram. Most of the previous learning-based approaches first propagate the captured hologram to the object plane and then suppress the DC and ... ...

    Abstract In this paper, we investigate a learning-based complex field recovery technique of an object from its digital hologram. Most of the previous learning-based approaches first propagate the captured hologram to the object plane and then suppress the DC and conjugate noise in the reconstruction. To the contrary, the proposed technique utilizes a deep learning network to extract the object complex field in the hologram plane directly, making it robust to the object depth variations and well suited for three-dimensional objects. Unlike the previous approaches which concentrate on transparent biological samples having near-uniform amplitude, the proposed technique is applied to more general objects which have large amplitude variations. The proposed technique is verified by numerical simulations and optical experiments, demonstrating its feasibility.
    Language English
    Publishing date 2022-10-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.461782
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Machine learning model of facial expression outperforms models using analgesia nociception index and vital signs to predict postoperative pain intensity: a pilot study.

    Park, Insun / Park, Jae Hyon / Yoon, Jongjin / Na, Hyo-Seok / Oh, Ah-Young / Ryu, Junghee / Koo, Bon-Wook

    Korean journal of anesthesiology

    2024  Volume 77, Issue 2, Page(s) 195–204

    Abstract: Background: Few studies have evaluated the use of automated artificial intelligence (AI)-based pain recognition in postoperative settings or the correlation with pain intensity. In this study, various machine learning (ML)-based models using facial ... ...

    Abstract Background: Few studies have evaluated the use of automated artificial intelligence (AI)-based pain recognition in postoperative settings or the correlation with pain intensity. In this study, various machine learning (ML)-based models using facial expressions, the analgesia nociception index (ANI), and vital signs were developed to predict postoperative pain intensity, and their performances for predicting severe postoperative pain were compared.
    Methods: In total, 155 facial expressions from patients who underwent gastrectomy were recorded postoperatively; one blinded anesthesiologist simultaneously recorded the ANI score, vital signs, and patient self-assessed pain intensity based on the 11-point numerical rating scale (NRS). The ML models' area under the receiver operating characteristic curves (AUROCs) were calculated and compared using DeLong's test.
    Results: ML models were constructed using facial expressions, ANI, vital signs, and different combinations of the three datasets. The ML model constructed using facial expressions best predicted an NRS ≥ 7 (AUROC 0.93) followed by the ML model combining facial expressions and vital signs (AUROC 0.84) in the test-set. ML models constructed using combined physiological signals (vital signs, ANI) performed better than models based on individual parameters for predicting NRS ≥ 7, although the AUROCs were inferior to those of the ML model based on facial expressions (all P < 0.050). Among these parameters, absolute and relative ANI had the worst AUROCs (0.69 and 0.68, respectively) for predicting NRS ≥ 7.
    Conclusions: The ML model constructed using facial expressions best predicted severe postoperative pain (NRS ≥ 7) and outperformed models constructed from physiological signals.
    MeSH term(s) Humans ; Pilot Projects ; Nociception/physiology ; Pain Measurement ; Artificial Intelligence ; Facial Expression ; Analgesia ; Vital Signs ; Pain, Postoperative/diagnosis ; Pain, Postoperative/etiology ; Anesthesia, General ; Machine Learning
    Language English
    Publishing date 2024-01-05
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2557340-8
    ISSN 2005-7563 ; 2005-7563
    ISSN (online) 2005-7563
    ISSN 2005-7563
    DOI 10.4097/kja.23583
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Comparative Analysis of Anticancer and Antibacterial Activities among Seven

    Nguyen, Ha Thi Kim / Lee, Jiwon / Park, Yejin / Park, Hyon Jin / Ahn, Soon Kil / Kim, Jae Kwang / Kang, Dong-Ku / Kim, Minkyeong / Ahn, Chorong / Kim, Changmu / Choi, Jaehyuk

    Mycobiology

    2023  Volume 51, Issue 4, Page(s) 256–263

    Abstract: Species in the ... ...

    Abstract Species in the genus
    Language English
    Publishing date 2023-08-29
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2631580-4
    ISSN 2092-9323 ; 1229-8093
    ISSN (online) 2092-9323
    ISSN 1229-8093
    DOI 10.1080/12298093.2023.2247218
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Update on Pathologic and Radiologic Diagnosis of Combined Hepatocellular-Cholangiocarcinoma.

    Rhee, Hyungjin / Park, Jae Hyon / Park, Young Nyun

    Journal of liver cancer

    2021  Volume 21, Issue 1, Page(s) 12–24

    Abstract: Combined hepatocellular-cholangiocarcinoma (cHCC-CCA) is a malignant primary liver carcinoma characterized by the unequivocal presence of both hepatocytic and cholangiocytic differentiation within the same tumor. Recent research has highlighted that cHCC- ...

    Abstract Combined hepatocellular-cholangiocarcinoma (cHCC-CCA) is a malignant primary liver carcinoma characterized by the unequivocal presence of both hepatocytic and cholangiocytic differentiation within the same tumor. Recent research has highlighted that cHCC-CCAs are more heterogeneous than previously expected. In the updated consensus terminology and WHO 2019 classification, "classical type" and "subtypes with stem-cell features" of the WHO 2010 classification are no longer recommended. Instead, it is recommended that the presence and percentages of various histopathologic components and stem-cell features be mentioned in the pathologic report. The new terminology and classification enable the exchange of clearer and more objective information about cHCC-CCAs, facilitating multi-center and multi-national research. However, there are limitations to the diagnosis of cHCC-CCA by imaging and biopsy. cHCC-CCAs showing typical imaging findings of HCC could be misdiagnosed as HCC and subjected to inappropriate treatment, if other clinical findings are not sufficiently considered. cHCC-CCAs showing at least one of the CCA-like imaging features or unusual clinical features should be subjected to biopsy. There may be a sampling error for the biopsy diagnosis of cHCC-CCA. An optimized diagnostic algorithm integrating clinical, radiological, and histopathologic information of biopsy is required to resolve these diagnostic pitfalls.
    Language English
    Publishing date 2021-03-31
    Publishing country Korea (South)
    Document type Journal Article ; Review
    ISSN 2383-5001
    ISSN (online) 2383-5001
    DOI 10.17998/jlc.21.1.12
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  5. Article ; Online: Differentiation between hepatic angiomyolipoma and hepatocellular carcinoma in individuals who are not at-risk for hepatocellular carcinoma.

    Park, Sungtae / Kim, Myeong-Jin / Han, Kyunghwa / Park, Jae Hyon / Han, Dai Hoon / Park, Young Nyun / Kim, Jaehyo / Rhee, Hyungjin

    European journal of radiology

    2023  Volume 166, Page(s) 110957

    Abstract: Purpose: To develop a practical methodfor differentiating hepatocellular carcinoma (HCC) from angiomyolipoma (AML) in individuals who are not at-risk for HCC.: Method: We retrospectively enrolled consecutive patients who underwent gadoxetic acid- ... ...

    Abstract Purpose: To develop a practical methodfor differentiating hepatocellular carcinoma (HCC) from angiomyolipoma (AML) in individuals who are not at-risk for HCC.
    Method: We retrospectively enrolled consecutive patients who underwent gadoxetic acid-enhanced liver magnetic resonance imaging (MRI) and pathological confirmation between January 2008 and April 2022. Patients who underwent prior treatment, those with multiple lesions, or those at-risk for HCC were excluded. The training cohort included patients with pathological confirmation between 2008 and 2019, whereas the validation cohort included the remaining cases. Independent reviews of the MRI were performed by two reviewers. Using the clinical and MRI findings, we developed AML-HCC score using Firth's logistic regression in the training cohort, and the diagnostic performance was validated in the validation cohort.
    Results: Of the 206 patients, 156 were assigned to the training cohort (25 and 131 patients with AML and HCC, respectively) and 50 were assigned to the validation cohort (4 and 46 patients with AML and HCC, respectively). The AML-HCC score was defined as the sum of female (score 1), early draining vein (score 2), T2 homogeneity (score 1), necrosis or severe ischaemia (score -2), and HBP hyperintensity to spleen (score -1). When the AML-HCC score was ≥1, the sensitivity and specificity were 80% and 95% for the training cohort and 100% and 80% for the validation cohort, respectively.
    Conclusions: We developed and validated an AML-HCC score to differentiate between AML and HCC in individuals who are not at-risk for HCC, and our model demonstrated good diagnostic performance.
    MeSH term(s) Humans ; Female ; Carcinoma, Hepatocellular/diagnostic imaging ; Carcinoma, Hepatocellular/pathology ; Liver Neoplasms/diagnostic imaging ; Liver Neoplasms/pathology ; Angiomyolipoma/diagnostic imaging ; Contrast Media ; Retrospective Studies ; Gadolinium DTPA ; Magnetic Resonance Imaging/methods ; Gastrointestinal Neoplasms ; Sensitivity and Specificity ; Leukemia, Myeloid, Acute
    Chemical Substances Contrast Media ; Gadolinium DTPA (K2I13DR72L)
    Language English
    Publishing date 2023-07-06
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 138815-0
    ISSN 1872-7727 ; 0720-048X
    ISSN (online) 1872-7727
    ISSN 0720-048X
    DOI 10.1016/j.ejrad.2023.110957
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Steatotic hepatocellular carcinoma: Association of MRI findings to underlying liver disease and clinicopathological characteristics.

    Park, Jae Hyon / Park, Young Nyun / Kim, Myeong-Jin / Park, Mi-Suk / Choi, Jin-Young / Chung, Yong Eun / Rhee, Hyungjin

    Liver international : official journal of the International Association for the Study of the Liver

    2023  Volume 43, Issue 6, Page(s) 1332–1344

    Abstract: Background & aims: Fatty change is commonly observed in hepatocellular carcinoma (HCC); however, the characteristics of steatotic and steatohepatitic HCCs are not well understood.: Methods: This retrospective study included patients with HCCs who ... ...

    Abstract Background & aims: Fatty change is commonly observed in hepatocellular carcinoma (HCC); however, the characteristics of steatotic and steatohepatitic HCCs are not well understood.
    Methods: This retrospective study included patients with HCCs who underwent resection between January 2014 and December 2019 to evaluate clinicopathological and magnetic resonance imaging features. Tumours were categorized as magnetic resonance imaging-steatotic, pathology-steatotic and steatohepatitic HCCs and were defined as HCCs with ≥50% steatosis on in-and-oppose phase images, ≥34% tumour cells with lipid droplets and ≥50% tumour areas with steatohepatitic features on light microscopy respectively.
    Results: Of 465 HCCs, 38 (8%), 23 (5%) and 15 (3%) were diagnosed as magnetic resonance imaging-steatotic, pathology-steatotic and steatohepatitic HCCs respectively. These HCC variants were less likely to be associated with hepatitis B virus infections than with type 2 diabetes mellitus, metabolic syndrome, non-tumour liver steatosis and steatohepatitis. Moreover, microvascular invasion was less likely to be associated with them than either tumour size or differentiation. Type 2 diabetes and non-tumour steatosis were independent risk factors for magnetic resonance imaging-steatotic HCCs. Pathology-steatotic HCCs and steatohepatitic HCCs were significantly associated with magnetic resonance imaging-steatotic HCCs. A targetoid appearance in the transitional or hepatobiliary phase was also more prevalent in steatohepatitic-HCCs than in non-steatohepatitic-HCCs. When magnetic resonance imaging-steatotic HCCs were combined with one or more ancillary features, the sensitivity and specificity were 60% and 97% respectively.
    Conclusion: Underlying fatty liver disease and metabolic syndrome are strongly associated with both steatotic and steatohepatitic HCCs. Clinicoradiological characteristics help identify steatohepatitic HCC with high specificity.
    MeSH term(s) Humans ; Carcinoma, Hepatocellular/complications ; Carcinoma, Hepatocellular/diagnostic imaging ; Liver Neoplasms/diagnosis ; Metabolic Syndrome/complications ; Metabolic Syndrome/pathology ; Retrospective Studies ; Diabetes Mellitus, Type 2/complications ; Non-alcoholic Fatty Liver Disease/complications ; Non-alcoholic Fatty Liver Disease/diagnostic imaging ; Non-alcoholic Fatty Liver Disease/pathology ; Magnetic Resonance Imaging ; Sensitivity and Specificity ; Contrast Media ; Gadolinium DTPA
    Chemical Substances Contrast Media ; Gadolinium DTPA (K2I13DR72L)
    Language English
    Publishing date 2023-04-23
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2102783-3
    ISSN 1478-3231 ; 1478-3223
    ISSN (online) 1478-3231
    ISSN 1478-3223
    DOI 10.1111/liv.15589
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  7. Article ; Online: Mesial temporal atrophy in preoperative MRI rather than steep Trendelenburg position is associated with postoperative delirium in patients undergoing a major urologic surgery.

    Park, Jae Hyon / Park, Insun / Yoon, Jongjin / Sim, Yongsik / Kim, Jinhyun / Lee, Seung-Koo / Joo, Bio

    International urology and nephrology

    2023  Volume 56, Issue 5, Page(s) 1543–1550

    Abstract: Purpose: To investigate whether steep Trendelenburg in a major urologic surgery is associated with postoperative delirium, and to examine other potential clinical and radiologic factors predictive of postoperative delirium.: Methods: 182 patients who ...

    Abstract Purpose: To investigate whether steep Trendelenburg in a major urologic surgery is associated with postoperative delirium, and to examine other potential clinical and radiologic factors predictive of postoperative delirium.
    Methods: 182 patients who received a major urologic surgery and underwent a 3.0-T brain MRI scan within 1 year prior to the date of surgery were retrospectively enrolled. Preoperative brain MRIs were used to analyze features related to small vessel disease burden and mesial temporal atrophy. Presence of a significant mesial temporal atrophy was defined as Scheltens' scale ≥ 2. Patients' clinico-demographic data and MRI features were used to identify significant predictors of postoperative delirium using the logistic regression analysis. Independent predictors found significant in the univariate analysis were further evaluated in the multivariate analysis.
    Results: Incidence of postoperative delirium was 6.0%. Patients with postoperative delirium had lower body mass index (21.3 vs. 25.0 kg/m
    Conclusion: Steep Trendelenburg was not associated with postoperative delirium. Significant mesial temporal atrophy (Scheltens' scale ≥ 2) in preoperative brain MRI was predictive of postoperative delirium.
    Trial registration: Not applicable.
    MeSH term(s) Male ; Humans ; Female ; Emergence Delirium/complications ; Retrospective Studies ; Delirium/etiology ; Delirium/complications ; Head-Down Tilt ; Magnetic Resonance Imaging ; Atrophy/complications ; Postoperative Complications/epidemiology ; Postoperative Complications/etiology ; Risk Factors
    Language English
    Publishing date 2023-12-13
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 204048-7
    ISSN 1573-2584 ; 0301-1623 ; 0042-1162
    ISSN (online) 1573-2584
    ISSN 0301-1623 ; 0042-1162
    DOI 10.1007/s11255-023-03898-2
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  8. Article: Postoperative analgesic effects of the quadratus lumborum block in pediatric patients: a systematic review and meta-analysis.

    Park, Insun / Park, Jae Hyon / Shin, Hyun-Jung / Na, Hyo-Seok / Koo, Bon-Wook / Ryu, Jung-Hee / Oh, Ah-Young

    The Korean journal of pain

    2023  Volume 37, Issue 1, Page(s) 59–72

    Abstract: Background: This study assessed the postoperative analgesic efficacy and safety of the quadratus lumborum block (QLB) in pediatric patients.: Methods: Electronic databases were searched for studies comparing the QLB to conventional analgesic ... ...

    Abstract Background: This study assessed the postoperative analgesic efficacy and safety of the quadratus lumborum block (QLB) in pediatric patients.
    Methods: Electronic databases were searched for studies comparing the QLB to conventional analgesic techniques in pediatric patients. The primary outcome was the need for rescue analgesia 12 and 24 hours after surgery. Secondary outcomes covered the Face-Legs-Activity-Cry-Consolability Scale (FLACC) scores at various time points; parental satisfaction; time to the first rescue analgesia; hospitalization time; block execution time; block failure rates, and adverse events.
    Results: Sixteen randomized controlled trials were analyzed involving 1,061 patients. The QLB significantly reduced the need for rescue analgesia both at 12 and 24 hours after surgery (12 hours, relative risk [RR]: 0.45; 95% confidence interval [CI]: 0.01, 0.88; 24 hours, RR: 0.51; 95% CI: 0.31, 0.70). In case of 24 hours after surgery, type 1 QLB significantly reduced the need for rescue analgesia (RR: 0.56; 95% CI: 0.36, 0.76). The QLB also exhibited lower FLACC scores at 1 hour (standardized mean difference [SMD]: -0.87; 95% CI: -1.56, -0.18) and 6 hours (SMD: -1.27; 95% CI: -2.33, -0.21) following surgery when compared to non-QLB. Among QLBs, type 2 QLB significantly extended the time until the first rescue analgesia (SMD: 1.25; 95% CI: 0.84, 1.67). No significant differences were observed in terms of parental satisfaction, hospitalization time, block execution time, block failure, or adverse events between QLB and non-QLB groups.
    Conclusions: The QLB provides non-inferior analgesic efficacy and safety to conventional methods in pediatric patients.
    Language English
    Publishing date 2023-12-21
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2558899-0
    ISSN 2093-0569 ; 2005-9159
    ISSN (online) 2093-0569
    ISSN 2005-9159
    DOI 10.3344/kjp.23268
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  9. Article ; Online: Artificial intelligence model predicting postoperative pain using facial expressions: a pilot study.

    Park, Insun / Park, Jae Hyon / Yoon, Jongjin / Song, In-Ae / Na, Hyo-Seok / Ryu, Jung-Hee / Oh, Ah-Young

    Journal of clinical monitoring and computing

    2023  Volume 38, Issue 2, Page(s) 261–270

    Abstract: Purpose: This study aimed to assess whether an artificial intelligence model based on facial expressions can accurately predict significant postoperative pain.: Methods: A total of 155 facial expressions from patients who underwent gastric cancer ... ...

    Abstract Purpose: This study aimed to assess whether an artificial intelligence model based on facial expressions can accurately predict significant postoperative pain.
    Methods: A total of 155 facial expressions from patients who underwent gastric cancer surgery were analyzed to extract facial action units (AUs), gaze, landmarks, and positions. These features were used to construct various machine learning (ML) models, designed to predict significant postoperative pain intensity (NRS ≥ 7) from less significant pain (NRS < 7). Significant AUs predictive of NRS ≥ 7 were determined and compared to AUs known to be associated with pain in awake patients. The area under the receiver operating characteristic curves (AUROCs) of the ML models was calculated and compared using DeLong's test.
    Results: AU17 (chin raising) and AU20 (lip stretching) were found to be associated with NRS ≥ 7 (both P ≤ 0.004). AUs known to be associated with pain in awake patients did not show an association with pain in postoperative patients. An ML model based on AU17 and AU20 demonstrated an AUROC of 0.62 for NRS ≥ 7, which was inferior to a model based on all AUs (AUROC = 0.81, P = 0.006). Among facial features, head position and facial landmarks proved to be better predictors of NRS ≥ 7 (AUROC, 0.85-0.96) than AUs. A merged ML model that utilized gaze and eye landmarks, as well as head position and facial landmarks, exhibited the best performance (AUROC, 0.90) in predicting significant postoperative pain.
    Conclusion: ML models using facial expressions can accurately predict the presence of significant postoperative pain and have the potential to screen patients in need of rescue analgesia.
    Trial registration number: This study was registered at ClinicalTrials.gov (NCT05477303; date: June 17, 2022).
    MeSH term(s) Humans ; Artificial Intelligence ; Face ; Facial Expression ; Pain, Postoperative/diagnosis ; Pilot Projects
    Language English
    Publishing date 2023-12-27
    Publishing country Netherlands
    Document type Clinical Study ; Journal Article
    ZDB-ID 1418733-4
    ISSN 1573-2614 ; 1387-1307 ; 0748-1977
    ISSN (online) 1573-2614
    ISSN 1387-1307 ; 0748-1977
    DOI 10.1007/s10877-023-01100-7
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  10. Article: Analysis of antibiotic resistance gene cassettes in a newly identified Salmonella enterica serovar Gallinarum strain in Korea.

    Tran, Thanh Quang / Park, Minyoung / Lee, Jong Eun / Kim, Soo Hyun / Jeong, Jae-Ho / Choy, Hyon E

    Mobile DNA

    2023  Volume 14, Issue 1, Page(s) 4

    Abstract: Antimicrobial resistant pathogens are a global health threat driven by the indiscriminate use of antimicrobials. Antimicrobial resistance can be acquired by resistance genes encoded by mobile genetic elements. In this study, we identified a strain of ... ...

    Abstract Antimicrobial resistant pathogens are a global health threat driven by the indiscriminate use of antimicrobials. Antimicrobial resistance can be acquired by resistance genes encoded by mobile genetic elements. In this study, we identified a strain of Salmonella enterica serovar Gallinarum (SG4021) from an infected chicken in Korea and characterized the presence of resistance genes in its plasmid by whole genome sequencing. The sequence was then compared with that of a plasmid (P2) from strain SG_07Q015, the only other strain of S. Gallinarum isolated in Korea for which a genome sequence is available. The results revealed that both strains harbored nearly identical DNA carrying antibiotic resistance gene cassettes inserted into integron In2 of the transposable element Tn21, namely an aadA1 resistance gene conferring resistance to aminoglycosides and a sul1 resistance gene conferring resistance to sulfonamide. Interestingly, despite the presence of sul1 in SG4021, an antibiotic sensitivity test revealed that it was sensitive to sulfonamides. Further analysis revealed that this disparity was due to the insertion of a ~ 5 kb ISCR16 sequence downstream of the promoter driving sul1 expression in SG4021. Using various mutants, we showed that the insertion of ISCR16 blocked the expression of the sul1 gene from the upstream promoter. Therefore, the functionality of antimicrobial resistance genes determines phenotypic antimicrobial resistance.
    Language English
    Publishing date 2023-04-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 2536054-1
    ISSN 1759-8753
    ISSN 1759-8753
    DOI 10.1186/s13100-023-00292-8
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