Literature DB >> 25903700

Sub-milliSievert (sub-mSv) CT colonography: a prospective comparison of image quality and polyp conspicuity at reduced-dose versus standard-dose imaging.

Meghan G Lubner1, B Dustin Pooler, Douglas R Kitchin, Jie Tang, Ke Li, David H Kim, Alejandro Munoz del Rio, Guang-Hong Chen, Perry J Pickhardt.   

Abstract

OBJECTIVE: To prospectively compare reduced-dose (RD) CT colonography (CTC) with standard-dose (SD) imaging using several reconstruction algorithms.
METHODS: Following SD supine CTC, 40 patients (mean age, 57.3 years; 17 M/23 F; mean BMI, 27.2) underwent an additional RD supine examination (targeted dose reduction, 70-90%). DLP, CTDI(vol), effective dose, and SSDE were compared. Several reconstruction algorithms were applied to RD series. SD-FBP served as reference standard. Objective image noise, subjective image quality and polyp conspicuity were assessed.
RESULTS: Mean CTDI(vol) and effective dose for RD series was 0.89 mGy (median 0.65) and 0.6 mSv (median 0.44), compared with 3.8 mGy (median 3.1) and 2.8 mSv (median 2.3) for SD series, respectively. Mean dose reduction was 78%. Mean image noise was significantly reduced on RD-PICCS (24.3 ± 19HU) and RD-MBIR (19 ± 18HU) compared with RD-FBP (90 ± 33), RD-ASIR (72 ± 27) and SD-FBP (47 ± 14 HU). 2D image quality score was higher with RD-PICCS, RD-MBIR, and SD-FBP (2.7 ± 0.4/2.8 ± 0.4/2.9 ± 0.6) compared with RD-FBP (1.5 ± 0.4) and RD-ASIR (1.8 ± 0.44). A similar trend was seen with 3D image quality scores. Polyp conspicuity scores were similar between SD-FBP/RD-PICCS/RD-MBIR (3.5 ± 0.6/3.2 ± 0.8/3.3 ± 0.6).
CONCLUSION: Sub-milliSievert CTC performed with iterative reconstruction techniques demonstrate decreased image quality compared to SD, but improved image quality compared to RD images reconstructed with FBP. KEY POINTS: • CT colonography dose can be substantially lowered using advanced iterative reconstruction techniques. • Iterative reconstruction techniques (MBIR/PICCS) reduce image noise and improve image quality. • The PICCS/MBIR-reconstructed, reduced-dose series shows decreased 2D/3D image quality compared to the standard-dose series. • Polyp conspicuity was similar on standard-dose images compared to reduced-dose images reconstructed with MBIR/PICCS.

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Year:  2015        PMID: 25903700      PMCID: PMC4458464          DOI: 10.1007/s00330-015-3603-9

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  29 in total

1.  Effective radiation dose in CT colonography: is there a downward trend?

Authors:  Thierry N Boellaard; Henk W Venema; Geert J Streekstra; Jaap Stoker
Journal:  Acad Radiol       Date:  2012-06-30       Impact factor: 3.173

2.  Abdominal CT: comparison of low-dose CT with adaptive statistical iterative reconstruction and routine-dose CT with filtered back projection in 53 patients.

Authors:  Yoshiko Sagara; Amy K Hara; William Pavlicek; Alvin C Silva; Robert G Paden; Qing Wu
Journal:  AJR Am J Roentgenol       Date:  2010-09       Impact factor: 3.959

3.  Reduced image noise at low-dose multidetector CT of the abdomen with prior image constrained compressed sensing algorithm.

Authors:  Meghan G Lubner; Perry J Pickhardt; Jie Tang; Guang-Hong Chen
Journal:  Radiology       Date:  2011-03-24       Impact factor: 11.105

4.  Through the Looking Glass revisited: the need for more meaning and less drama in the reporting of dose and dose reduction in CT.

Authors:  Alexander A Bankier; Herbert Y Kressel
Journal:  Radiology       Date:  2012-10       Impact factor: 11.105

5.  Adaptive statistical iterative reconstruction and Veo: assessment of image quality and diagnostic performance in CT colonography at various radiation doses.

Authors:  Min A Yoon; Se Hyung Kim; Jeong Min Lee; Hyoun Sik Woo; Eun Sun Lee; Se Jin Ahn; Joon Koo Han
Journal:  J Comput Assist Tomogr       Date:  2012 Sep-Oct       Impact factor: 1.826

6.  Abdominal CT with model-based iterative reconstruction (MBIR): initial results of a prospective trial comparing ultralow-dose with standard-dose imaging.

Authors:  Perry J Pickhardt; Meghan G Lubner; David H Kim; Jie Tang; Julie A Ruma; Alejandro Muñoz del Rio; Guang-Hong Chen
Journal:  AJR Am J Roentgenol       Date:  2012-12       Impact factor: 3.959

7.  Cancer statistics, 2012.

Authors:  Rebecca Siegel; Deepa Naishadham; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2012-01-04       Impact factor: 508.702

8.  Multisection CT protocols: sex- and age-specific conversion factors used to determine effective dose from dose-length product.

Authors:  Paul D Deak; Yulia Smal; Willi A Kalender
Journal:  Radiology       Date:  2010-10       Impact factor: 11.105

9.  Dose reduction methods for CT colonography.

Authors:  Kevin J Chang; Judy Yee
Journal:  Abdom Imaging       Date:  2013-04

10.  Reducing radiation dose at CT colonography: decreasing tube voltage to 100 kVp.

Authors:  Kevin J Chang; Dominique B Caovan; David J Grand; Walter Huda; William W Mayo-Smith
Journal:  Radiology       Date:  2012-12-21       Impact factor: 11.105

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  9 in total

1.  Sub-millisievert CT colonography: effect of knowledge-based iterative reconstruction on the detection of colonic polyps.

Authors:  Hyo-Jin Kang; Se Hyung Kim; Cheong-Il Shin; Ijin Joo; Hwaseong Ryu; Sang Gyun Kim; Jong Pil Im; Joon Koo Han
Journal:  Eur Radiol       Date:  2018-06-08       Impact factor: 5.315

2.  Submillisievert CT using model-based iterative reconstruction with lung-specific setting: An initial phantom study.

Authors:  Akinori Hata; Masahiro Yanagawa; Osamu Honda; Tomoko Gyobu; Ken Ueda; Noriyuki Tomiyama
Journal:  Eur Radiol       Date:  2016-03-17       Impact factor: 5.315

3.  Prospective Evaluation of Reduced Dose Computed Tomography for the Detection of Low-Contrast Liver Lesions: Direct Comparison with Concurrent Standard Dose Imaging.

Authors:  B Dustin Pooler; Meghan G Lubner; David H Kim; Oliver T Chen; Ke Li; Guang-Hong Chen; Perry J Pickhardt
Journal:  Eur Radiol       Date:  2016-09-05       Impact factor: 5.315

4.  Can conclusions drawn from phantom-based image noise assessments be generalized to in vivo studies for the nonlinear model-based iterative reconstruction method?

Authors:  Daniel Gomez-Cardona; Ke Li; Jiang Hsieh; Meghan G Lubner; Perry J Pickhardt; Guang-Hong Chen
Journal:  Med Phys       Date:  2016-02       Impact factor: 4.071

5.  Computed Tomography Colonography Phantom: Construction, Validation and Literature Review.

Authors:  Lukas Lambert; Alena Lambertova; Jan Danes; Gabriela Grusova
Journal:  Iran J Radiol       Date:  2016-06-22       Impact factor: 0.212

6.  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

7.  Ultra-low-dose chest computed tomography for interstitial lung disease using model-based iterative reconstruction with or without the lung setting.

Authors:  Akinori Hata; Masahiro Yanagawa; Osamu Honda; Tomo Miyata; Noriyuki Tomiyama
Journal:  Medicine (Baltimore)       Date:  2019-05       Impact factor: 1.817

Review 8.  Imaging of colorectal cancer - the clue to individualized treatment.

Authors:  Dietmar Tamandl; Thomas Mang; Ahmed Ba-Ssalamah
Journal:  Innov Surg Sci       Date:  2018-03-13

9.  Sub-milliSievert ultralow-dose CT colonography with iterative model reconstruction technique.

Authors:  Lukas Lambert; Petr Ourednicek; Jan Briza; Walter Giepmans; Jiri Jahoda; Lukas Hruska; Jan Danes
Journal:  PeerJ       Date:  2016-03-31       Impact factor: 2.984

  9 in total

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