Literature DB >> 29143912

Determination of splenomegaly by coronal oblique length on CT.

Serra Ozbal Gunes1, Yeliz Akturk2.   

Abstract

PURPOSE: The aims of this study were (a) to determine whether a coronal oblique length (COL) > 12 cm, which is often used to detect splenomegaly (SM) on ultrasound, can be used as a marker of SM on computed tomography (CT), (b) to compare the diagnostic accuracy of COL with other unidimensional linear measurements (ULM) in identifying SM, (c) to determine which ULM most closely correlates with splenic volume (SVol) according to the splenic index on CT, (d) to assess the relationship between SVol and patient's gender, age and body parameters (height, weight), and (e) to determine whether there is a difference between non-contrast-enhanced and contrast-enhanced CT images in identifying SM.
MATERIALS AND METHODS: The body parameters and ULM (width, length, thickness, COL) were obtained from patients who underwent CT for various indications from April 2016 to April 2017. SVol and body mass indexes were calculated for each patient.
RESULTS: Of the 1078 patients [male/female = 526/552; 47.57 (mean) ± 19.21 (standard deviation) years], 392 patients had SM. The sensitivity, specificity, positive and negative predictive values of COL > 12 cm for diagnosing SM were 44.6, 95.6, 85.3 and 75.1%, respectively (p < 0.001). SVol correlated with all ULM (p < 0.001). In the non-SM group (n = 686), the mean SVol was 331.7 ± 92.2 cm3 and females had smaller spleens than males (p < 0.001). SVol showed correlation with gender, age and height (p < 0.001).
CONCLUSION: COL > 12 cm is not superior to other ULM for the detection of SM, but it is very successful in determining normal spleens. The unidimensional measurements and volume of the spleen should be calculated by taking gender and body parameters into account for different ethnic populations. Non-contrast-enhanced CT can also be used to detect SM.

Entities:  

Keywords:  Computed tomography; Coronal oblique length; Spleen; Splenic index

Mesh:

Substances:

Year:  2017        PMID: 29143912     DOI: 10.1007/s11604-017-0704-1

Source DB:  PubMed          Journal:  Jpn J Radiol        ISSN: 1867-1071            Impact factor:   2.374


  21 in total

1.  Estimation of spleen volume using MR imaging and a random marking technique.

Authors:  M Mazonakis; J Damilakis; T Maris; P Prassopoulos; N Gourtsoyiannis
Journal:  Eur Radiol       Date:  2000       Impact factor: 5.315

Review 2.  Radiology of the spleen.

Authors:  F Robertson; P Leander; O Ekberg
Journal:  Eur Radiol       Date:  2001       Impact factor: 5.315

3.  Normal splenic volume in adults by computed tomography.

Authors:  Junichi Kaneko; Yasuhiko Sugawara; Yuichi Matsui; Takao Ohkubo; Masatoshi Makuuchi
Journal:  Hepatogastroenterology       Date:  2002 Nov-Dec

4.  Sonographic measurement of splenic length: correlation with measurement at autopsy.

Authors:  W K Loftus; L T Chow; C Metreweli
Journal:  J Clin Ultrasound       Date:  1999-02       Impact factor: 0.910

5.  Does coronal oblique length of spleen on CT reflect splenic index?

Authors:  Venkatraman Indiran; Naorem Vinod Singh; T Ramachandra Prasad; Prabakaran Maduraimuthu
Journal:  Abdom Radiol (NY)       Date:  2017-05

6.  Characterization of indeterminate spleen lesions in primary CT after blunt abdominal trauma: potential role of MR imaging.

Authors:  Sonja Gordic; Hatem Alkadhi; Hans-Peter Simmen; Guido Wanner; Dieter Cadosch
Journal:  Emerg Radiol       Date:  2014-05-01

7.  Sonographic determination of normal spleen size in an adult African population.

Authors:  Zainab Mustapha; Abdulrahman Tahir; Maisaratu Tukur; Mohammed Bukar; Wai-Kit Lee
Journal:  Eur J Radiol       Date:  2009-10-15       Impact factor: 3.528

8.  CT assessment of normal splenic size in children.

Authors:  P Prassopoulos; D Cavouras
Journal:  Acta Radiol       Date:  1994-03       Impact factor: 1.990

9.  Spleen size: how well do linear ultrasound measurements correlate with three-dimensional CT volume assessments?

Authors:  P M Lamb; A Lund; R R Kanagasabay; A Martin; J A W Webb; R H Reznek
Journal:  Br J Radiol       Date:  2002-07       Impact factor: 3.039

10.  Volume determinations using computed tomography.

Authors:  R S Breiman; J W Beck; M Korobkin; R Glenny; O E Akwari; D K Heaston; A V Moore; P C Ram
Journal:  AJR Am J Roentgenol       Date:  1982-02       Impact factor: 3.959

View more
  2 in total

1.  Non-Invasive Prediction Models for Esophageal Varices and Red Signs in Patients With Hepatitis B Virus-Related Liver Cirrhosis.

Authors:  Huixin Liang; Hang Si; Mingzhu Liu; Lianxiong Yuan; Ruiying Ma; Genglin Zhang; Jianrong Yang; Zhishuo Mo; Qiyi Zhao
Journal:  Front Mol Biosci       Date:  2022-07-12

2.  Development and Validation of a Nomogram Based on Perioperative Factors to Predict Post-hepatectomy Liver Failure.

Authors:  Bin Xu; Xiao-Long Li; Feng Ye; Xiao-Dong Zhu; Ying-Hao Shen; Cheng Huang; Jian Zhou; Jia Fan; Yong-Jun Chen; Hui-Chuan Sun
Journal:  J Clin Transl Hepatol       Date:  2021-03-15
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.