Literature DB >> 9888730

Distinguishing pelvic phleboliths from distal ureteral stones on routine unenhanced helical CT: is there a radiolucent center?

J Traubici1, J D Neitlich, R C Smith.   

Abstract

OBJECTIVE: On radiographs of the abdomen and pelvis, phleboliths often have a characteristic radiolucent center that helps to distinguish them from ureteral stones. On unenhanced CT, the distinction between pelvic phleboliths and distal ureteral stones can be problematic. The objective of this study was to compare the appearance of phleboliths on routine clinical CT studies with their appearance on radiography and to determine if the radiolucent center seen on radiographs is revealed on CT. SUBJECTS AND METHODS: During a 3-month interval, we identified 50 patients with acute flank pain who underwent both unenhanced CT and abdominal radiography. Patients with a radiograph of the pelvis and an unenhanced CT scan obtained within 1 month of each other were included. CT was performed with a collimation of 5 mm and a pitch of 1. Each phlebolith was examined using soft-tissue and bone settings and was also retrospectively pixel mapped.
RESULTS: Seventy-nine (66%) of 120 phleboliths revealed radiolucent centers on abdominal radiography. On CT, 119 (99%) of 120 phleboliths failed to reveal a low-attenuation center on both visual inspection and pixel mapping.
CONCLUSION: Pelvic phleboliths were shown to lack a radiolucent center on routine clinical CT examinations despite their appearance on radiography. A radiolucent center therefore cannot be used to differentiate phleboliths from distal ureteral stones on unenhanced CT in patients with acute flank pain and suspected ureteral obstruction.

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Year:  1999        PMID: 9888730     DOI: 10.2214/ajr.172.1.9888730

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  7 in total

1.  Distinguishing pelvic phleboliths from distal ureteral calculi: thin-slice CT findings.

Authors:  Mehmet Arac; Halil Celik; A Yusuf Oner; Serap Gultekin; Terman Gumus; Sule Kosar
Journal:  Eur Radiol       Date:  2004-09-22       Impact factor: 5.315

2.  Differentiating kidney stones from phleboliths in unenhanced low-dose computed tomography using radiomics and machine learning.

Authors:  Thomas De Perrot; Jeremy Hofmeister; Simon Burgermeister; Steve P Martin; Gregoire Feutry; Jacques Klein; Xavier Montet
Journal:  Eur Radiol       Date:  2019-02-12       Impact factor: 5.315

3.  A man with multiple abdominal calcifications.

Authors:  M Rohsila; D Nani; Y Siti Suhaila
Journal:  Malays Fam Physician       Date:  2012-04-30

Review 4.  Soft-tissue masses and masslike conditions: what does CT add to diagnosis and management?

Authors:  Ty K Subhawong; Elliot K Fishman; Jennifer E Swart; John A Carrino; Samer Attar; Laura M Fayad
Journal:  AJR Am J Roentgenol       Date:  2010-06       Impact factor: 3.959

5.  Differentiation of ureteral stones and phleboliths using Hounsfield units on computerized tomography: a new method without observer bias.

Authors:  Yiloren Tanidir; Ahmet Sahan; Mehmet Kazim Asutay; Tarik Emre Sener; Farhad Talibzade; Asgar Garayev; Ilker Tinay; Cagri Akin Sekerci; Ferruh Simsek
Journal:  Urolithiasis       Date:  2016-09-16       Impact factor: 3.436

6.  Differentiation of distal ureteral stones and pelvic phleboliths using a convolutional neural network.

Authors:  Johan Jendeberg; Per Thunberg; Mats Lidén
Journal:  Urolithiasis       Date:  2020-02-27       Impact factor: 3.436

7.  Epidemiological and imaging features that can affect the detection of ureterolithiasis on ultrasound.

Authors:  Daniela Rebouças Nery; Yves Boher Costa; Thais Caldara Mussi; Ronaldo Hueb Baroni
Journal:  Radiol Bras       Date:  2018 Sep-Oct
  7 in total

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