1.Generate Quantitative Computed Tomography-Equivalent Computed Tomography Image Interpretation Reports in Patients with Spinal Deformities
Hyunbin KIM ; Hyeon Su KIM ; Shinjune KIM ; Jun-Il YOO
Journal of Bone Metabolism 2025;32(1):31-37
Background:
Quantitative computed tomography (QCT) is essential for assessing osteoporosis and monitoring spinal deformities. “Clari-QCT,” a software that uses artificial intelligence to analyze conventional computed tomography (CT) scans and produce QCTequivalent reports. This study aims to evaluate the effectiveness of Clari-QCT by comparing its results with traditional QCT, with the goal of validating new diagnostic tools for spinal deformities.
Methods:
The study analyzed dual energy X-ray absorptiometry, CT, and QCT data from 18 patients at Inha University Hospital. Clari-QCT software was evaluated for its ability to generate QCT-equivalent reports from CT images. The software processes abdomen CT images, calculates bone density in designated slices, and provides bone mineral density (BMD), T-score, and Z-score values. Patients were classified into normal, mild, and severe spinal deformity groups. Intraclass correlation coefficient (ICC) analysis was used to measure the agreement between actual and predicted BMD values.
Results:
The study included participants with an average age of 64 and a mean body mass index of 24.88. The average BMD was 94.7 g/cm³ by QCT and 122.5 g/cm³ by Clari- QCT, with individual differences ranging from 4.9 to 61.8. T-score discrepancies ranged from 0.16 to 6.86. ICC analysis showed moderate to high agreement between methods, with ICC1 values of 0.597, ICC2 of 0.64, ICC3 of 0.81, and ICC1k, ICC2k, ICC3k values ranging from 0.748 to 0.895.
Conclusions
Clari-QCT demonstrates good agreement with actual QCT measurements in normal and severe spinal deformity groups but shows reduced accuracy in patients with mild deformities. If the limitations are addressed, it could become a useful tool for monitoring bone health in patients with spinal deformities.
2.Generate Quantitative Computed Tomography-Equivalent Computed Tomography Image Interpretation Reports in Patients with Spinal Deformities
Hyunbin KIM ; Hyeon Su KIM ; Shinjune KIM ; Jun-Il YOO
Journal of Bone Metabolism 2025;32(1):31-37
Background:
Quantitative computed tomography (QCT) is essential for assessing osteoporosis and monitoring spinal deformities. “Clari-QCT,” a software that uses artificial intelligence to analyze conventional computed tomography (CT) scans and produce QCTequivalent reports. This study aims to evaluate the effectiveness of Clari-QCT by comparing its results with traditional QCT, with the goal of validating new diagnostic tools for spinal deformities.
Methods:
The study analyzed dual energy X-ray absorptiometry, CT, and QCT data from 18 patients at Inha University Hospital. Clari-QCT software was evaluated for its ability to generate QCT-equivalent reports from CT images. The software processes abdomen CT images, calculates bone density in designated slices, and provides bone mineral density (BMD), T-score, and Z-score values. Patients were classified into normal, mild, and severe spinal deformity groups. Intraclass correlation coefficient (ICC) analysis was used to measure the agreement between actual and predicted BMD values.
Results:
The study included participants with an average age of 64 and a mean body mass index of 24.88. The average BMD was 94.7 g/cm³ by QCT and 122.5 g/cm³ by Clari- QCT, with individual differences ranging from 4.9 to 61.8. T-score discrepancies ranged from 0.16 to 6.86. ICC analysis showed moderate to high agreement between methods, with ICC1 values of 0.597, ICC2 of 0.64, ICC3 of 0.81, and ICC1k, ICC2k, ICC3k values ranging from 0.748 to 0.895.
Conclusions
Clari-QCT demonstrates good agreement with actual QCT measurements in normal and severe spinal deformity groups but shows reduced accuracy in patients with mild deformities. If the limitations are addressed, it could become a useful tool for monitoring bone health in patients with spinal deformities.
3.Generate Quantitative Computed Tomography-Equivalent Computed Tomography Image Interpretation Reports in Patients with Spinal Deformities
Hyunbin KIM ; Hyeon Su KIM ; Shinjune KIM ; Jun-Il YOO
Journal of Bone Metabolism 2025;32(1):31-37
Background:
Quantitative computed tomography (QCT) is essential for assessing osteoporosis and monitoring spinal deformities. “Clari-QCT,” a software that uses artificial intelligence to analyze conventional computed tomography (CT) scans and produce QCTequivalent reports. This study aims to evaluate the effectiveness of Clari-QCT by comparing its results with traditional QCT, with the goal of validating new diagnostic tools for spinal deformities.
Methods:
The study analyzed dual energy X-ray absorptiometry, CT, and QCT data from 18 patients at Inha University Hospital. Clari-QCT software was evaluated for its ability to generate QCT-equivalent reports from CT images. The software processes abdomen CT images, calculates bone density in designated slices, and provides bone mineral density (BMD), T-score, and Z-score values. Patients were classified into normal, mild, and severe spinal deformity groups. Intraclass correlation coefficient (ICC) analysis was used to measure the agreement between actual and predicted BMD values.
Results:
The study included participants with an average age of 64 and a mean body mass index of 24.88. The average BMD was 94.7 g/cm³ by QCT and 122.5 g/cm³ by Clari- QCT, with individual differences ranging from 4.9 to 61.8. T-score discrepancies ranged from 0.16 to 6.86. ICC analysis showed moderate to high agreement between methods, with ICC1 values of 0.597, ICC2 of 0.64, ICC3 of 0.81, and ICC1k, ICC2k, ICC3k values ranging from 0.748 to 0.895.
Conclusions
Clari-QCT demonstrates good agreement with actual QCT measurements in normal and severe spinal deformity groups but shows reduced accuracy in patients with mild deformities. If the limitations are addressed, it could become a useful tool for monitoring bone health in patients with spinal deformities.
4.The Effects of Fermented Rice Drink With Lactiplantibacillus plantarum JSA22 in Overweight Irritable Bowel Syndrome Patients: A Randomized, Double-blind, Placebo-controlled Study
Nam-Hee KIM ; Hye Sun CHOI ; Moon Young LEE ; Hyunbin SEONG ; Nam Soo HAN ; Hae-Jin HU ; Yong Sung KIM ; Jung Ho PARK
Journal of Neurogastroenterology and Motility 2024;30(2):194-207
Background/Aims:
This study aims to investigate the effect of a fermented rice drink with Lactiplantibacillus plantarum JSA22 on symptoms, blood tests, microbiomes, and fecal metabolites in patients with irritable bowel syndrome (IBS) who were overweight.
Methods:
Sixty overweight (body mass index ≥ 23 kg/m2 ) patients aged between 20 and 65 with IBS were enrolled. Patients were divided into 2 groups and administered either a fermented rice drink or an nonfermented rice drink for a month. The symptom questionnaire, blood samples, and stool samples for microbiome and metabolite were collected before and after the month of rice drink administration.The primary efficacy variable was the subject’s global assessment of IBS symptoms.
Results:
In both groups, global IBS symptoms, including abdominal pain, bowel habit, urgency, and abdominal distension, improved significantly (P < 0.01). The abdominal bloating was more significantly improved in the fermented rice drink group than in the nonfermented rice drink group (P < 0.05). Significant changes were not observed in metabolic syndrome-related blood tests or fecal metabolites in either group. However, microbiome analysis showed significant differences in genus levels before and after consuming fermented rice drink, such as in Blautia in stool (P = 0.020) and Prevotella (P = 0.017) and Oribacterium (P = 0.018) in saliva.
Conclusions
The fermented rice drink with L. plantarum JSA22 showed a beneficial effect in reducing abdominal distension in IBS patients. Bacteria that reduce visceral fat accumulation increased in the stool and saliva of patients who consumed fermented rice drinks.
5.Impact of Pediatric Alopecia Areata on Quality of Life of Patients and Their Family Members: A Nationwide Multicenter Questionnaire Study
Jee Woong CHOI ; Yul Hee KIM ; Hyunbin KWAK ; Jin PARK ; Won-Soo LEE ; Hoon KANG ; Jung Eun KIM ; Tae-Young YOON ; Ki-Ho KIM ; Yong Hyun JANG ; Do Won KIM ; Moon-Bum KIM ; Bark-Lynn LEW ; Woo-Young SIM ; Jiehyun JEON ; Soo Hong SEO ; Ohsang KWON ; Chang-Hun HUH ; Dong-Youn LEE ; Yang Won LEE ; Byung Choel PARK ; Chong Hyun WON ; Do Young KIM ; Hyojin KIM ; Beom Joon KIM ; Young LEE ; Sang Seok KIM ; Gwang Seong CHOI ; The Korean Hair Research Society
Annals of Dermatology 2022;34(4):237-244
Background:
Pediatric alopecia areata (AA) can affect the quality of life (QoL) of patients and their family members. Research on the QoL and burden on family members in pediatric AA is limited.
Objective:
This nationwide multicenter questionnaire study described the QoL and burden of the family members of patients with pediatric AA.
Methods:
This nationwide multicenter questionnaire study enrolled AA patients between the ages of 5 and 18 years from March 1, 2017 to February 28, 2018. Enrolled patients and their parents completed the modified Children’s Dermatology Life Quality Index (CDLQI) and the modified Dermatitis Family Impact (mDFI). The disease severity was measured using the Severity of Alopecia Tool (SALT) survey scores.
Results:
A total of 268 patients with AA from 22 hospitals participated in this study. Our study found that the efficacy and satisfaction of previous treatments of AA decreased as the severity of the disease increased. The use of home-based therapies and traditional medicines increased with the increasing severity of the disease, but the efficacy felt by patients was limited. CDLQI and mDFI scores were higher in patients with extensive AA than those with mild to moderate AA. The economic and time burden of the family members also increased as the severity of the disease increased.
Conclusion
The severity of the AA is indirectly proportional to the QoL of patients and their family members and directly proportional to the burden. Physicians need to understand these characteristics of pediatric AA and provide appropriate intervention to patients and their family members.
6.Challenge for Diagnostic Assessment of Deep Learning Algorithm for Metastases Classification in Sentinel Lymph Nodes on Frozen Tissue Section Digital Slides in Women with Breast Cancer
Young-Gon KIM ; In Hye SONG ; Hyunna LEE ; Sungchul KIM ; Dong Hyun YANG ; Namkug KIM ; Dongho SHIN ; Yeonsoo YOO ; Kyowoon LEE ; Dahye KIM ; Hwejin JUNG ; Hyunbin CHO ; Hyungyu LEE ; Taeu KIM ; Jong Hyun CHOI ; Changwon SEO ; Seong il HAN ; Young Je LEE ; Young Seo LEE ; Hyung-Ryun YOO ; Yongju LEE ; Jeong Hwan PARK ; Sohee OH ; Gyungyub GONG
Cancer Research and Treatment 2020;52(4):1103-1111
Purpose:
Assessing the status of metastasis in sentinel lymph nodes (SLNs) by pathologists is an essential task for the accurate staging of breast cancer. However, histopathological evaluation of sentinel lymph nodes by a pathologist is not easy and is a tedious and time-consuming task. The purpose of this study is to review a challenge competition (HeLP 2018) to develop automated solutions for the classification of metastases in hematoxylin and eosin–stained frozen tissue sections of SLNs in breast cancer patients.
Materials and Methods:
A total of 297 digital slides were obtained from frozen SLN sections, which include post–neoadjuvant cases (n = 144, 48.5%) in Asan Medical Center, South Korea. The slides were divided into training, development, and validation sets. All of the imaging datasets have been manually segmented by expert pathologists. A total of 10 participants were allowed to use the Kakao challenge platform for six weeks with two P40 GPUs. The algorithms were assessed in terms of the AUC (area under receiver operating characteristic curve).
Results:
The top three teams showed 0.986, 0.985, and 0.945 AUCs for the development set and 0.805, 0.776, and 0.765 AUCs for the validation set. Micrometastatic tumors, neoadjuvant systemic therapy, invasive lobular carcinoma, and histologic grade 3 were associated with lower diagnostic accuracy.
Conclusion
In a challenge competition, accurate deep learning algorithms have been developed, which can be helpful in making frozen diagnosis of intraoperative sentinel lymph node biopsy. Whether this approach has clinical utility will require evaluation in a clinical setting
7.Diffuse Large B-Cell Lymphoma Arising within Ileal Neobladder: An Expanding Spectrum of Diffuse Large B-Cell Lymphoma Associated with Chronic Inflammation
Hyekyung LEE ; Hyunbin SHIN ; Nae Yu KIM ; Hyun Sik PARK ; Jinsung PARK
Cancer Research and Treatment 2019;51(4):1666-1670
Diffuse large B-cell lymphoma associated with chronic inflammation (DLBCL-CI), specifically arising in ileal neobladder, is a rare neoplasm. We present an unusual case of Epstein–Barr virus (EBV)–positive DLBCL-CI arising within neobladder with detailed clinical, histological, and immunophenotypical features in an immunocompetent patient. An 88-year-old male was admitted for gross hematuria. He had undergone radical cystectomy and ileal neobladder 17 years ago for invasive bladder cancer. Computed tomography showed enhancing lesions on dome and posterior wall of neobladder with mucosal thickening and multiple enlarged retroperitoneal lymphadenopathies. Transurethralresection of neobladder lesion revealed the diffuse infiltration of large lymphoid cells which were positive for CD20, CD30, and multiple myeloma oncogen-1 with EBV-encoded small RNAs co-localizing, and diagnosis of EBV-positive DLBCL-CI was made. After multi-agent chemotherapy, the lesion disappeared. We suggest that clinicians should consider the possibility of DLBCL-CI in patients presented with hematuria during follow-up after bladder reconstruction.
Aged, 80 and over
;
B-Lymphocytes
;
Cystectomy
;
Diagnosis
;
Drug Therapy
;
Follow-Up Studies
;
Hematuria
;
Humans
;
Inflammation
;
Lymphocytes
;
Lymphoma, B-Cell
;
Male
;
Multiple Myeloma
;
RNA
;
Urinary Bladder
;
Urinary Bladder Neoplasms
8.Airway management in pediatric tongue flap division for oronasal fistula closure: A case report
Eunsun SO ; Hye Joo YUN ; Myong Hwan KARM ; Hyun Jeong KIM ; Kwang Suk SEO ; Hyunbin HA
Journal of Dental Anesthesia and Pain Medicine 2018;18(5):309-313
Oronasal fistulae (ONF) could remain after surgery in some patients with cleft palate. ONF ultimately requires intraoral surgery, which may lead to perioperative airway obstruction. Tongue flap surgery is a technique used to repair ONF. During the second surgery for performing tongue flap division, the flap transplanted from the tongue dorsum to the palate of the patient acts as an obstacle to airway management, which poses a great challenge for anesthesiologists. In particular, anesthesiologists may face difficulty in airway evaluation and patient cooperation during general anesthesia for tongue flap division surgery in pediatric patients. The authors report a case of airway management using a flexible fiberoptic bronchoscope during general anesthesia for tongue flap division surgery in a 6-year-old child.
Airway Management
;
Airway Obstruction
;
Anesthesia, General
;
Bronchoscopes
;
Child
;
Cleft Palate
;
Fistula
;
Humans
;
Palate
;
Patient Compliance
;
Tongue
9.Anesthetic management for cesarean delivery in a Guillain-Barre syndrome patient: A case report.
Hyunbin KIM ; Junghee RYU ; Jung Won HWANG ; Sang Hwan DO
Korean Journal of Anesthesiology 2013;64(3):268-271
Guillain-Barre syndrome is an acute inflammatory demyelinating polyradiculopathy characterized by progressive motor weakness, areflexia, and ascending paralysis. Guillain-Barre syndrome is extremely rare in pregnant patients, and there are no established guidelines for delivery or safest anesthetic methods. We report a Cesarean delivery in the case of a 32-year old woman who was diagnosed with Guillain-Barre syndrome 18 weeks into gestation. Tracheostomy was performed due to progressive respiratory muscle weakness and respiratory failure, and ventilator support was required in the intensive care unit. The respiratory difficulty was exacerbated by the growth of the fetus, necessitating emergency Cesarean delivery. The delivery was successfully performed under general anesthesia, and the patient recovered without neurological sequelae.
Anesthesia, General
;
Cesarean Section
;
Emergencies
;
Female
;
Fetus
;
Guillain-Barre Syndrome
;
Humans
;
Intensive Care Units
;
Paralysis
;
Polyradiculopathy
;
Pregnancy
;
Respiratory Insufficiency
;
Respiratory Muscles
;
Tracheostomy
;
Ventilators, Mechanical
10.Successful use of extracorporeal membrane oxygenation for sudden aggravation of acute respiratory distress syndrome: A case report.
Hyerim KIM ; Sang Min JEONG ; Hyunbin KIM ; Ho Geol RYU
Anesthesia and Pain Medicine 2013;8(4):279-281
The use of extracorporeal membrane oxygenation (ECMO) in patients with severe hypoxemia refractory to conventional ventilation has recently gained attention due to recent reports that highlighted its potential benefit. This report presents a case of acute onset acute respiratory distress syndrome (ARDS) with severe hypoxemia in the operating room that showed significant improvement after applying ECMO in the intensive care unit. Although the oxygen saturation decreased to as low as 50% before the application of ECMO, at no time did the patient show hypotension or decreased cardiac output. The patient improved within 48 hours of ECMO and recovered with no major complications or neurologic sequelae. Our case shows that ECMO is a valuable and viable option in ARDS with severe refractory hypoxemia.
Anoxia
;
Cardiac Output
;
Extracorporeal Membrane Oxygenation*
;
Humans
;
Hypotension
;
Intensive Care Units
;
Operating Rooms
;
Oxygen
;
Respiratory Distress Syndrome, Adult*
;
Ventilation

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