Literature DB >> 19457812

Assessment of urinary tract calculi with 64-MDCT: The axial versus coronal plane.

Ur Metser1, Sangeet Ghai, Yang Yi Ong, Gina Lockwood, Sidney B Radomski.   

Abstract

OBJECTIVE: The objective of our study was to compare the detection rate, conspicuity, and size measurements of urinary tract calculi on coronal reformations versus the axial plane using 64-MDCT.
MATERIALS AND METHODS: For this retrospective study, 80 consecutive CT examinations performed for clinical diagnosis of renal colic or for the assessment of known nephrolithiasis were evaluated. All studies were stripped of patient identifiers, and the axial and coronal plane images of each study were randomized and presented to two abdominal radiologists. For each study, the radiologists recorded the number and location of stones, diagnostic confidence and stone conspicuity (subjectively on a 2-point scale), and stone size. The standard of reference was data from a consensus reading with the study coordinator examining the same parameters on images in both planes of each patient. Detection rates were compared between planes using logistic regression with generalized estimating equations to account for multiple stones per patient.
RESULTS: On consensus reading, 272 stones were identified. For all renal stones, the coronal plane detected more stones as compared with the axial plane (p < 0.001). For stones smaller than 5 mm, a higher proportion received the maximal conspicuity score on the coronal plane than on the axial plane (p < 0.001). Both reviewers better estimated stone size on the coronal plane than the axial plane (p = 0.02); their axial plane measurements underestimated stone size by 13.4% (mean).
CONCLUSION: The detection of stones and estimation of maximal stone diameter were improved using coronal reformations. The conspicuity of stones and diagnostic confidence in identifying stones smaller than 5 mm in diameter were also improved on the coronal plane.

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Year:  2009        PMID: 19457812     DOI: 10.2214/AJR.08.1545

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


  11 in total

1.  Urinary stone size estimation: a new segmentation algorithm-based CT method.

Authors:  Mats Lidén; Torbjörn Andersson; Mathias Broxvall; Per Thunberg; Håkan Geijer
Journal:  Eur Radiol       Date:  2011-12-08       Impact factor: 5.315

2.  Prospective trial of the detection of urolithiasis on ultralow dose (sub mSv) noncontrast computerized tomography: direct comparison against routine low dose reference standard.

Authors:  B Dustin Pooler; Meghan G Lubner; David H Kim; Eva M Ryckman; Sri Sivalingam; Jie Tang; Stephen Y Nakada; Guang-Hong Chen; Perry J Pickhardt
Journal:  J Urol       Date:  2014-05-21       Impact factor: 7.450

3.  Use of a Dedicated Server to Perform Coronal and Sagittal Reformations in Trauma Examinations.

Authors:  Jason N Itri; William W Boonn
Journal:  J Digit Imaging       Date:  2010-04-15       Impact factor: 4.056

4.  Variation in Radiologic and Urologic Computed Tomography Interpretation of Urinary Tract Stone Burden: Results From the Registry for Stones of the Kidney and Ureter.

Authors:  David T Tzou; Dylan Isaacson; Manint Usawachintachit; Zhen J Wang; Kazumi Taguchi; Nancy K Hills; Ryan S Hsi; Benjamin A Sherer; Shalonda Reliford-Titus; Brian Duty; Jonathan D Harper; Mathew Sorensen; Roger L Sur; Marshall L Stoller; Thomas Chi
Journal:  Urology       Date:  2017-10-13       Impact factor: 2.649

5.  Current computed tomography techniques can detect duct of Bellini plugging but not Randall's plaques.

Authors:  Amy E Krambeck; John C Lieske; Xujian Li; Eric J Bergstralh; Andrew D Rule; David Holmes; Cynthia M McCollough; Terri J Vrtiska
Journal:  Urology       Date:  2013-06-20       Impact factor: 2.649

6.  Unenhanced MDCT in suspected urolithiasis: improved stone detection and density measurements using coronal maximum-intensity-projection images.

Authors:  Michael T Corwin; Margaret Hsu; John P McGahan; Machelle Wilson; Ramit Lamba
Journal:  AJR Am J Roentgenol       Date:  2013-11       Impact factor: 3.959

7.  Urinary Stone Detection on CT Images Using Deep Convolutional Neural Networks: Evaluation of Model Performance and Generalization.

Authors:  Anushri Parakh; Hyunkwang Lee; Jeong Hyun Lee; Brian H Eisner; Dushyant V Sahani; Synho Do
Journal:  Radiol Artif Intell       Date:  2019-07-24

Review 8.  Advances in CT imaging for urolithiasis.

Authors:  Yasir Andrabi; Manuel Patino; Chandan J Das; Brian Eisner; Dushyant V Sahani; Avinash Kambadakone
Journal:  Indian J Urol       Date:  2015 Jul-Sep

9.  Factors affecting the urologist's decision to administer ureteral stone therapy: a retrospective cohort study.

Authors:  Mun Ki Min; Ji Ho Ryu; Yong In Kim; Maeng Real Park; Seok Ran Yeom; Sang Kyoon Han; Seong Wook Park
Journal:  Clin Exp Emerg Med       Date:  2017-12-30

10.  Assessment of factors affecting the spontaneous passage of lower ureteric calculus on the basis of lower ureteric calculus diameter, density, and plasma C- reactive protein level.

Authors:  Ajayraj Hada; Sher Singh Yadav; Vinay Tomar; Shivam Priyadarshi; Neeraj Agarwal; Anil Gulani
Journal:  Urol Ann       Date:  2018 Jul-Sep
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