1.Risk Factors associated with Central Vein Stenosis Development in Hemodialysis Vascular Access among Patients with Normal Preoperative Venography
Su Jeong OH ; Jewon JEONG ; Sun Young CHOI ; Yong Jae KIM ; Seung Yeon NOH
Journal of the Korean Society of Radiology 2024;85(5):916-925
Purpose:
We aimed to discover risk factors for central vein stenosis (CVS) in hemodialysis patients with normal preoperative venography.
Materials and Methods:
Among the 411 individuals who underwent upper arm venography for hemodialysis access evaluation in 2017, we reviewed venography and medical record data from 349 patients with normal preoperative venography who subsequently underwent arteriovenous fistula creation. We compared the data between patients with and without CVS development.
Results:
Among the 349 patients, 22 (6.3%) developed CVS during a median 20.9-month follow-up. The development of CVS appeared to be associated with preoperative venography findings (the presence of collateral vessels and cephalic arch stenosis), location of hemodialysis access, and history and duration of ipsilateral hemodialysis catheter placement (p < 0.05). Multivariate analysis identified two or more collateral vessels on venography, left-sided arteriovenous fistula, and a previous history of ipsilateral hemodialysis catheter placement as independent risk factors for CVS development (p < 0.05).
Conclusion
Even in patients with normal preoperative venography findings, there is an increased possibility of CVS development after arteriovenous fistula creation if they have more than two collateral vessels on venography, a left-sided arteriovenous fistula, or a history of ipsilateral hemodialysis catheter placement.
2.Risk Factors associated with Central Vein Stenosis Development in Hemodialysis Vascular Access among Patients with Normal Preoperative Venography
Su Jeong OH ; Jewon JEONG ; Sun Young CHOI ; Yong Jae KIM ; Seung Yeon NOH
Journal of the Korean Society of Radiology 2024;85(5):916-925
Purpose:
We aimed to discover risk factors for central vein stenosis (CVS) in hemodialysis patients with normal preoperative venography.
Materials and Methods:
Among the 411 individuals who underwent upper arm venography for hemodialysis access evaluation in 2017, we reviewed venography and medical record data from 349 patients with normal preoperative venography who subsequently underwent arteriovenous fistula creation. We compared the data between patients with and without CVS development.
Results:
Among the 349 patients, 22 (6.3%) developed CVS during a median 20.9-month follow-up. The development of CVS appeared to be associated with preoperative venography findings (the presence of collateral vessels and cephalic arch stenosis), location of hemodialysis access, and history and duration of ipsilateral hemodialysis catheter placement (p < 0.05). Multivariate analysis identified two or more collateral vessels on venography, left-sided arteriovenous fistula, and a previous history of ipsilateral hemodialysis catheter placement as independent risk factors for CVS development (p < 0.05).
Conclusion
Even in patients with normal preoperative venography findings, there is an increased possibility of CVS development after arteriovenous fistula creation if they have more than two collateral vessels on venography, a left-sided arteriovenous fistula, or a history of ipsilateral hemodialysis catheter placement.
3.Risk Factors associated with Central Vein Stenosis Development in Hemodialysis Vascular Access among Patients with Normal Preoperative Venography
Su Jeong OH ; Jewon JEONG ; Sun Young CHOI ; Yong Jae KIM ; Seung Yeon NOH
Journal of the Korean Society of Radiology 2024;85(5):916-925
Purpose:
We aimed to discover risk factors for central vein stenosis (CVS) in hemodialysis patients with normal preoperative venography.
Materials and Methods:
Among the 411 individuals who underwent upper arm venography for hemodialysis access evaluation in 2017, we reviewed venography and medical record data from 349 patients with normal preoperative venography who subsequently underwent arteriovenous fistula creation. We compared the data between patients with and without CVS development.
Results:
Among the 349 patients, 22 (6.3%) developed CVS during a median 20.9-month follow-up. The development of CVS appeared to be associated with preoperative venography findings (the presence of collateral vessels and cephalic arch stenosis), location of hemodialysis access, and history and duration of ipsilateral hemodialysis catheter placement (p < 0.05). Multivariate analysis identified two or more collateral vessels on venography, left-sided arteriovenous fistula, and a previous history of ipsilateral hemodialysis catheter placement as independent risk factors for CVS development (p < 0.05).
Conclusion
Even in patients with normal preoperative venography findings, there is an increased possibility of CVS development after arteriovenous fistula creation if they have more than two collateral vessels on venography, a left-sided arteriovenous fistula, or a history of ipsilateral hemodialysis catheter placement.
4.Diagnosis of Right Ventricular Vegetation on Late Gadolinium-Enhanced MR Imaging in a Pediatric Patient after Repair of a Ventricular Septal Defect.
Jewon JEONG ; Hae Jin KIM ; Sung Mok KIM ; June HUH ; Ji Hyuk YANG ; Yeon Hyeon CHOE
Investigative Magnetic Resonance Imaging 2016;20(2):114-119
We report a case of vegetation in a 4-year-old female with infective endocarditis, diagnosed by late gadolinium-enhanced (LGE) cardiovascular magnetic resonance (CMR) imaging. The patient had a history of primary closure for ventricular septal defect and presented with mild febrile sensation. No remarkable clinical symptoms or laboratory findings were noted; however, transthoracic echocardiography demonstrated a 14 mm highly mobile homogeneous mass in the right ventricle. On LGE CMR imaging, the mass showed marginal rim enhancement, which suggested the diagnosis of vegetation rather than thrombus. The extracellular volume fraction (≥ 42%) of the lesion was higher than that of normal myocardium. Based on the patient's clinical history of congenital heart disease and pathologic confirmation of the lesion, a diagnosis of infective endocarditis with vegetation was made.
Child, Preschool
;
Diagnosis*
;
Echocardiography
;
Endocarditis
;
Female
;
Heart Defects, Congenital
;
Heart Septal Defects, Ventricular*
;
Heart Ventricles
;
Humans
;
Magnetic Resonance Imaging*
;
Myocardium
;
Sensation
;
Thrombosis
5.Acute diverticulitis of the terminal ileum: ultrasonography and CT findings.
Jewon JEONG ; Seong Sook HONG ; Jiyoung HWANG ; Hyun Joo KIM ; Yun Woo CHANG
Ultrasonography 2015;34(1):74-77
We describe a rare case of terminal ileal diverticulitis in a 68-year-old female with a day of history of right lower quadrant pain and tenderness, mimicking acute appendicitis. Ultrasonography revealed small sac-like out-pouching lesions with increased echogenicity of surrounding fat in thickened terminal ileum, suggesting inflamed diverticula. We diagnosed terminal ileal diverticulitis primarily by ultrasonography. The diagnosis was confirmed by subsequent computed tomography.
Aged
;
Appendicitis
;
Diagnosis
;
Diverticulitis*
;
Diverticulum
;
Female
;
Humans
;
Ileum*
;
Tomography, X-Ray Computed
;
Ultrasonography*
6.Long-Term Follow-Up of Interstitial Lung Abnormalities in Low-Dose Chest CT in Health Screening: Exploring the Predictors of Clinically Significant Interstitial Lung Diseases Using Artificial Intelligence-Based Quantitative CT Analysis
Won Jong JEONG ; Bo Da NAM ; Jung Hwa HWANG ; Chang Hyun LEE ; Hee-Young YOON ; Eun Ji LEE ; Eunsun OH ; Jewon JEONG ; Sung Hwan BAE
Journal of the Korean Society of Radiology 2024;85(6):1141-1156
Purpose:
This study examined longitudinal changes in interstitial lung abnormalities (ILAs) and predictors of clinically significant interstitial lung diseases (ILDs) in a screening population with ILAs.
Materials and Methods:
We retrieved 36891 low-dose chest CT records from screenings between January 2003 and May 2021. After identifying 101 patients with ILAs, the clinical findings, spirometry results, and initial and follow-up CT findings, including visual and artificial intelligence-based quantitative analyses, were compared between patients diagnosed with ILD (n = 23, 23%) and those who were not (n = 78, 77%). Logistic regression analysis was used to identify significant parameters for the clinical diagnosis of ILD.
Results:
Twenty-three patients (n = 23, 23%) were subsequently diagnosed with clinically significant ILDs at follow-up (mean, 8.7 years). Subpleural fibrotic ILAs on initial CT and signs of progression on follow-up CT were common in the ILD group (both p < 0.05). Logistic regression analysis revealed that emerging respiratory symptoms (odds ratio [OR], 5.56; 95% confidence interval [CI], 1.28–24.21; p = 0.022) and progression of ILAs at follow-up chest CT (OR, 4.07; 95% CI, 1.00–16.54; p = 0.050) were significant parameters for clinical diagnosis of ILD.
Conclusion
Clinically significant ILD was subsequently diagnosed in approximately one-quarter of the screened population with ILAs. Emerging respiratory symptoms and progression of ILAs at followup chest CT can be predictors of clinically significant ILDs.
7.Long-Term Follow-Up of Interstitial Lung Abnormalities in Low-Dose Chest CT in Health Screening: Exploring the Predictors of Clinically Significant Interstitial Lung Diseases Using Artificial Intelligence-Based Quantitative CT Analysis
Won Jong JEONG ; Bo Da NAM ; Jung Hwa HWANG ; Chang Hyun LEE ; Hee-Young YOON ; Eun Ji LEE ; Eunsun OH ; Jewon JEONG ; Sung Hwan BAE
Journal of the Korean Society of Radiology 2024;85(6):1141-1156
Purpose:
This study examined longitudinal changes in interstitial lung abnormalities (ILAs) and predictors of clinically significant interstitial lung diseases (ILDs) in a screening population with ILAs.
Materials and Methods:
We retrieved 36891 low-dose chest CT records from screenings between January 2003 and May 2021. After identifying 101 patients with ILAs, the clinical findings, spirometry results, and initial and follow-up CT findings, including visual and artificial intelligence-based quantitative analyses, were compared between patients diagnosed with ILD (n = 23, 23%) and those who were not (n = 78, 77%). Logistic regression analysis was used to identify significant parameters for the clinical diagnosis of ILD.
Results:
Twenty-three patients (n = 23, 23%) were subsequently diagnosed with clinically significant ILDs at follow-up (mean, 8.7 years). Subpleural fibrotic ILAs on initial CT and signs of progression on follow-up CT were common in the ILD group (both p < 0.05). Logistic regression analysis revealed that emerging respiratory symptoms (odds ratio [OR], 5.56; 95% confidence interval [CI], 1.28–24.21; p = 0.022) and progression of ILAs at follow-up chest CT (OR, 4.07; 95% CI, 1.00–16.54; p = 0.050) were significant parameters for clinical diagnosis of ILD.
Conclusion
Clinically significant ILD was subsequently diagnosed in approximately one-quarter of the screened population with ILAs. Emerging respiratory symptoms and progression of ILAs at followup chest CT can be predictors of clinically significant ILDs.
8.Long-Term Follow-Up of Interstitial Lung Abnormalities in Low-Dose Chest CT in Health Screening: Exploring the Predictors of Clinically Significant Interstitial Lung Diseases Using Artificial Intelligence-Based Quantitative CT Analysis
Won Jong JEONG ; Bo Da NAM ; Jung Hwa HWANG ; Chang Hyun LEE ; Hee-Young YOON ; Eun Ji LEE ; Eunsun OH ; Jewon JEONG ; Sung Hwan BAE
Journal of the Korean Society of Radiology 2024;85(6):1141-1156
Purpose:
This study examined longitudinal changes in interstitial lung abnormalities (ILAs) and predictors of clinically significant interstitial lung diseases (ILDs) in a screening population with ILAs.
Materials and Methods:
We retrieved 36891 low-dose chest CT records from screenings between January 2003 and May 2021. After identifying 101 patients with ILAs, the clinical findings, spirometry results, and initial and follow-up CT findings, including visual and artificial intelligence-based quantitative analyses, were compared between patients diagnosed with ILD (n = 23, 23%) and those who were not (n = 78, 77%). Logistic regression analysis was used to identify significant parameters for the clinical diagnosis of ILD.
Results:
Twenty-three patients (n = 23, 23%) were subsequently diagnosed with clinically significant ILDs at follow-up (mean, 8.7 years). Subpleural fibrotic ILAs on initial CT and signs of progression on follow-up CT were common in the ILD group (both p < 0.05). Logistic regression analysis revealed that emerging respiratory symptoms (odds ratio [OR], 5.56; 95% confidence interval [CI], 1.28–24.21; p = 0.022) and progression of ILAs at follow-up chest CT (OR, 4.07; 95% CI, 1.00–16.54; p = 0.050) were significant parameters for clinical diagnosis of ILD.
Conclusion
Clinically significant ILD was subsequently diagnosed in approximately one-quarter of the screened population with ILAs. Emerging respiratory symptoms and progression of ILAs at followup chest CT can be predictors of clinically significant ILDs.