Literature DB >> 27358690

Assessment of sub-milli-sievert abdominal computed tomography with iterative reconstruction techniques of different vendors.

Atul Padole1, Nisha Sainani1, Diego Lira1, Ranish Deedar Ali Khawaja1, Sarvenaz Pourjabbar1, Roberto Lo Gullo1, Alexi Otrakji1, Mannudeep K Kalra1.   

Abstract

AIM: To assess diagnostic image quality of reduced dose (RD) abdominal computed tomography (CT) with 9 iterative reconstruction techniques (IRTs) from 4 different vendors to the standard of care (SD) CT.
METHODS: In an Institutional Review Board approved study, 66 patients (mean age 60 ± 13 years, 44 men, and 22 women) undergoing routine abdomen CT on multi-detector CT (MDCT) scanners from vendors A, B, and C (≥ 64 row CT scanners) (22 patients each) gave written informed consent for acquisition of an additional RD CT series. Sinogram data of RD CT was reconstructed with two vendor-specific and a vendor-neutral IRTs (A-1, A-2, A-3; B-1, B-2, B-3; and C-1, C-2, C-3) and SD CT series with filtered back projection. Subjective image evaluation was performed by two radiologists for each SD and RD CT series blinded and independently. All RD CT series (198) were assessed first followed by SD CT series (66). Objective image noise was measured for SD and RD CT series. Data were analyzed by Wilcoxon signed rank, kappa, and analysis of variance tests.
RESULTS: There were 13/50, 18/57 and 9/40 missed lesions (size 2-7 mm) on RD CT for vendor A, B, and C, respectively. Missed lesions includes liver cysts, kidney cysts and stone, gall stone, fatty liver, and pancreatitis. There were also 5, 4, and 4 pseudo lesions (size 2-3 mm) on RD CT for vendor A, B, and C, respectively. Lesions conspicuity was sufficient for clinical diagnostic performance for 6/24 (RD-A-1), 10/24 (RD-A-2), and 7/24 (RD-A-3) lesions for vendor A; 5/26 (RD-B-1), 6/26 (RD-B-2), and 7/26 (RD-B-3) lesions for vendor B; and 4/20 (RD-C-1) 6/20 (RD-C-2), and 10/20 (RD-C-3) lesions for vendor C (P = 0.9). Mean objective image noise in liver was significantly lower for RD A-1 compared to both RD A-2 and RD A-3 images (P < 0.001). Similarly, mean objective image noise lower for RD B-2 (compared to RD B-1, RD B-3) and RD C-3 (compared to RD C-1 and C-2) (P = 0.016).
CONCLUSION: Regardless of IRTs and MDCT vendors, abdominal CT acquired at mean CT dose index volume 1.3 mGy is not sufficient to retain clinical diagnostic performance.

Entities:  

Keywords:  Abdomen; Adult; Computed tomographic imaging; Radiation dose

Year:  2016        PMID: 27358690      PMCID: PMC4919762          DOI: 10.4329/wjr.v8.i6.618

Source DB:  PubMed          Journal:  World J Radiol        ISSN: 1949-8470


  18 in total

1.  Achieving routine submillisievert CT scanning: report from the summit on management of radiation dose in CT.

Authors:  Cynthia H McCollough; Guang Hong Chen; Willi Kalender; Shuai Leng; Ehsan Samei; Katsuyuki Taguchi; Ge Wang; Lifeng Yu; Roderic I Pettigrew
Journal:  Radiology       Date:  2012-06-12       Impact factor: 11.105

Review 2.  Managing radiation use in medical imaging: a multifaceted challenge.

Authors:  Hedvig Hricak; David J Brenner; S James Adelstein; Donald P Frush; Eric J Hall; Roger W Howell; Cynthia H McCollough; Fred A Mettler; Mark S Pearce; Orhan H Suleiman; James H Thrall; Louis K Wagner
Journal:  Radiology       Date:  2010-12-16       Impact factor: 11.105

3.  Comparison of hybrid and pure iterative reconstruction techniques with conventional filtered back projection: dose reduction potential in the abdomen.

Authors:  Sarabjeet Singh; Mannudeep K Kalra; Synho Do; Jean Baptiste Thibault; Homer Pien; Owen J O'Connor; Owen O J Connor; Michael A Blake
Journal:  J Comput Assist Tomogr       Date:  2012 May-Jun       Impact factor: 1.826

4.  Radiation dose reduction with Sinogram Affirmed Iterative Reconstruction technique for abdominal computed tomography.

Authors:  Mannudeep K Kalra; Mischa Woisetschläger; Nils Dahlström; Sarabjeet Singh; Maria Lindblom; Garry Choy; Petter Quick; Bernhard Schmidt; Martin Sedlmair; Michael A Blake; Anders Persson
Journal:  J Comput Assist Tomogr       Date:  2012 May-Jun       Impact factor: 1.826

5.  Radiation dose optimization and thoracic computed tomography.

Authors:  Sarabjeet Singh; Mannudeep K Kalra; Ranish Deedar Ali Khawaja; Atul Padole; Sarvenaz Pourjabbar; Diego Lira; Jo-Anne O Shepard; Subba R Digumarthy
Journal:  Radiol Clin North Am       Date:  2013-09-20       Impact factor: 2.303

6.  National Council on Radiation Protection and Measurements report shows substantial medical exposure increase.

Authors:  David A Schauer; Otha W Linton
Journal:  Radiology       Date:  2009-11       Impact factor: 11.105

7.  Image quality assessment of standard- and low-dose chest CT using filtered back projection, adaptive statistical iterative reconstruction, and novel model-based iterative reconstruction algorithms.

Authors:  Varut Vardhanabhuti; Robert J Loader; Grant R Mitchell; Richard D Riordan; Carl A Roobottom
Journal:  AJR Am J Roentgenol       Date:  2013-03       Impact factor: 3.959

8.  Radiation dose reduction at multidetector CT with adaptive statistical iterative reconstruction for evaluation of urolithiasis: how low can we go?

Authors:  Naveen M Kulkarni; Raul N Uppot; Brian H Eisner; Dushyant V Sahani
Journal:  Radiology       Date:  2012-08-13       Impact factor: 11.105

9.  Assessment of Filtered Back Projection, Adaptive Statistical, and Model-Based Iterative Reconstruction for Reduced Dose Abdominal Computed Tomography.

Authors:  Atul Padole; Sarabjeet Singh; Diego Lira; Michael A Blake; Sarvenaz Pourjabbar; Ranish Deedar Ali Khawaja; Garry Choy; Sanjay Saini; Synho Do; Mannudeep K Kalra
Journal:  J Comput Assist Tomogr       Date:  2015 Jul-Aug       Impact factor: 1.826

10.  Abdominal CT: comparison of adaptive statistical iterative and filtered back projection reconstruction techniques.

Authors:  Sarabjeet Singh; Mannudeep K Kalra; Jiang Hsieh; Paul E Licato; Synho Do; Homer H Pien; Michael A Blake
Journal:  Radiology       Date:  2010-09-09       Impact factor: 11.105

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  2 in total

1.  Application of deep learning reconstruction of ultra-low-dose abdominal CT in the diagnosis of renal calculi.

Authors:  Xiaoxiao Zhang; Gumuyang Zhang; Lili Xu; Xin Bai; Jiahui Zhang; Min Xu; Jing Yan; Daming Zhang; Zhengyu Jin; Hao Sun
Journal:  Insights Imaging       Date:  2022-10-08

2.  Can fully iterative reconstruction technique enable routine abdominal CT at less than 1 mSv?

Authors:  Azadeh Tabari; Singh Ramandeep; Ruhani Doda Khera; Yiemeng Hoi; Erin Angel; Mannudeep K Kalra; Rachna Madan
Journal:  Eur J Radiol Open       Date:  2019-06-21
  2 in total

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