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1.
Investig Clin Urol ; 61(3): 291-296, 2020 05.
Article in English | MEDLINE | ID: mdl-32377605

ABSTRACT

Purpose: We measured ureter length in healthy Koreans using reformatted computed tomography (ULCT) and found ways to indirectly estimate ureter length by measuring LLCT, the length between the ureteropelvic junction and the ureterovesical junction, and standing and sitting height. Materials and Methods: A total of 508 ureters of 254 healthy patients (median age, 55.0 years; 148 males and 106 females) were included in this retrospective study. ULCT, LLCT, and sitting and standing body height were measured. Results: The mean left and right ULCT were 25.2±2.2 and 25.0±2.2 cm, respectively. The mean left and right LLCT were 21.1±1.8 and 20.3±1.9 cm, respectively. Standing and sitting body height were 164.1±8.9 and 88.3±4.3 cm, respectively. Height was significantly correlated with ULCT, but this relation was not linear (r2=0.064 standing height, 0.062 sitting height). However, LLCT showed a significant linear correlation with ULCT (r2=0.485). ULCT can be estimated indirectly by the following equation: ULCT=0.823×LLCT+8.093. Conclusions: We could measure the ureteral length of healthy Koreans by ULCT. ULCT could be estimated indirectly by LLCT and standing and sitting height. Of these variables, LLCT provided the most accurate estimate of ureteral length.


Subject(s)
Tomography, X-Ray Computed , Ureter/anatomy & histology , Ureter/diagnostic imaging , Adult , Aged , Female , Humans , Kidney Pelvis , Male , Middle Aged , Organ Size , Republic of Korea , Retrospective Studies , Urinary Bladder
2.
J Phys Ther Sci ; 27(7): 2097-100, 2015 Jul.
Article in English | MEDLINE | ID: mdl-26310489

ABSTRACT

[Purpose] The aim of this study was to identify biochemical markers related to breast density. The study was performed with 200 patients who received mammography and biochemical marker testing between March 1, 2014 to October 1, 2014. [Subjects and Methods] Following the American College of Radiology, Breast Imaging Reporting and Data System (ACR BI-RADS), breast parenchymal pattern density from mammography was categorized into four grades: grade 1, almost entirely fat; grade 2, fibroglandular densities; grade 3, heterogeneously dense; and grade 4, extremely dense. Regarding biochemical markers, subjects underwent blood and urine tests after a 12-h fast. We analyzed correlations among breast density, general characteristics, and biochemical markers. [Results] Breast density-related factors were age, height, weight, body mass index (BMI), hematocrit, MCH, RDW, AST, ALT, ALP, uric acid, γGT, triglycerides, total cholesterol, HDL-cholesterol, and LDL-cholesterol. [Conclusion] The results can be used as basic and comparative data for the prevention and early control of breast cancer.

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