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RISS 인기검색어
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- 저자 : Mohammed Abdullah Basurrah (검색결과 3 건)
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황세환,김성원,Mohammed Abdullah Basurrah,김도현 대한이비인후과학회 2023 Clinical and Experimental Otorhinolaryngology Vol.16 No.2
Objectives. The aim of this study was to compare the effect of steroid-impregnated spacers to that of conventional manage-ment after endoscopic sinus surgery (ESS) in patients with chronic rhinosinusitis (CRS). Methods. Six databases were searched from inception until November 2022. Sixteen studies were found that comparedthe improvement of chronic sinusitis-related symptoms and postoperative outcomes between a steroid-impregnatedspacer group and a control group (non-steroid-impregnated spacers). The Cochrane risk of bias tool (for randomizedcontrolled studies) and the Newcastle-Ottawa Scale (for non-randomized controlled studies) were used to assess thequality of the works included. Results. Regarding the endoscopic findings, the degree of mucosal edema, ethmoid inflammation, crust formation at 2–3 monthspostoperatively, nasal discharge, polyposis, and scarring/synechia were significantly lower in the steroid-impregnatedspacer group. The steroid-impregnated spacer group also showed significantly lower Lund–Kennedy scores and peri-operative sinus endoscopy scores than the control group at 2–3 weeks postoperatively. Furthermore, the steroid-im-pregnated spacer group had lower rates of adhesions, middle turbinate lateralization, polypoid changes, the need fororal steroid use, the need for postoperative therapeutic interventions, and lysis of adhesions than controls. However,no significant between-group differences were found in short-term (2–3 weeks postoperatively) endoscopic findingsregarding nasal discharge, postoperative crusting, polyposis, or scarring/synechia. Conclusion. Steroid-impregnated nasal packing reduced the rates of postoperative intervention and recurrent polyposisand inflammation in CRS patients undergoing ESS.
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김도현,황세환,김성원,Mohammed Abdullah Basurrah 대한이비인후과학회 2022 Clinical and Experimental Otorhinolaryngology Vol.15 No.3
Objectives. The aim of this study was to evaluate the differences in clinical and laboratory features between eosinophilic chronic rhinosinusitis (ECRS) and non-ECRS and to compare diagnostic criteria for ECRS. Methods. We compared clinical features and/or laboratory findings classified as ECRS and non-ECRS according to various diagnostic criteria (histological and clinical). We also analyzed studies to compare endoscopic findings, symptom scores, laboratory findings, and computed tomography (CT) findings between ECRS and non-ECRS. Results. Our search included 55 studies with 6,143 patients. A comparison of clinical features and/or laboratory criteria with histological criteria showed no significant differences in nasal symptom scores and CT scores according to criteria. Serum eosinophil levels showed differences across the criteria, with ECRS consistently characterized by higher serum eosinophil levels than non-ECRS. Among the four criteria, the Japanese Epidemiological Survey of Refractory Eosinophilic Chronic Rhinosinusitis (JESREC) criteria and tissue eosinophilia (≥70) were associated with decreased olfactory function. In laboratory findings, the eosinophil percentage (standardized mean difference [SMD], 1.561; 95% confidence interval [CI], 1.329–1.794; P<0.001) and eosinophil count (SMD, 1.493; 95% CI, 1.134–1.852; P<0.001) of eosinophils were higher in ECRS than non-ECRS. In clinical findings, nasal symptom scores (SMD, 0.382; 95% CI, 0.156–0.608; P<0.001), endoscopic nasal polyp scores (SMD, 0.581; 95% CI, 0.314–0.848; P<0.001), and olfactory dysfunction (SMD, 0.416; 95% CI, 0.037–0.794; P=0.031) were higher in ECRS than in non-ECRS. With regard to CT findings, the whole-sinus opacification score (SMD, 0.824; 95% CI, 0.588–1.059; P<0.001) was higher in ECRS than in non-ECRS. In particular, there were significant differences in anterior ethmoid sinus and sphenoid sinus opacification. Conclusion. ECRS and non-ECRS differ in their clinical and laboratory features. When histological confirmation is difficult on an outpatient basis, ECRS could be diagnosed using clinical features and/or laboratory findings.
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Deep Learning Model for Predicting Airway Organoid Differentiation
Lim Mi Hyun,Shin Seungmin,Park Keonhyeok,Park Jaejung,Kim Sung Won,Basurrah Mohammed Abdullah,Lee Seungchul,Kim Do Hyun 한국조직공학과 재생의학회 2023 조직공학과 재생의학 Vol.20 No.7
BACKGROUND: Organoids are self-organized three-dimensional culture systems and have the advantages of both in vitro and in vivo experiments. However, each organoid has a different degree of self-organization, and methods such as immunofluorescence staining are required for confirmation. Therefore, we established a system to select organoids with high tissue-specific similarity using deep learning without relying on staining by acquiring bright-field images in a nondestructive manner. METHODS: We identified four biomarkers in RNA extracted from airway organoids. We also predicted biomarker expression by image-based analysis of organoids by convolution neural network, a deep learning method. RESULTS: We predicted airway organoid-specific marker expression from bright-field images of organoids. Organoid differentiation was verified by immunofluorescence staining of the same organoid after predicting biomarker expression in bright-field images. CONCLUSION: Our study demonstrates the potential of imaging and deep learning to distinguish organoids with high human tissue similarity in disease research and drug screening.
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