Literature DB >> 30480489

Detection of Colorectal Hepatic Metastases Is Superior at Standard Radiation Dose CT versus Reduced Dose CT.

Corey T Jensen1, Nicolaus A Wagner-Bartak1, Lan N Vu1, Xinming Liu1, Bharat Raval1, David Martinez1, Wei Wei1, Yuan Cheng1, Ehsan Samei1, Shiva Gupta1.   

Abstract

Purpose To evaluate colorectal cancer hepatic metastasis detection and characterization between reduced radiation dose (RD) and standard dose (SD) contrast material-enhanced CT of the abdomen and to qualitatively compare between filtered back projection (FBP) and iterative reconstruction algorithms. Materials and Methods In this prospective study (from May 2017 through November 2017), 52 adults with biopsy-proven colorectal cancer and suspected hepatic metastases at baseline CT underwent two portal venous phase CT scans: SD and RD in the same breath hold. Three radiologists, blinded to examination details, performed detection and characterization of 2-15-mm lesions on the SD FBP and RD adaptive statistical iterative reconstruction (ASIR)-V 60% series images. Readers assessed overall image quality and lesions between SD FBP and seven different iterative reconstructions. Two nonblinded consensus reviewers established the reference standard using the picture archiving and communication system lesion marks of each reader, multiple comparison examinations, and clinical data. Results RD CT resulted in a mean dose reduction of 54% compared with SD. Of the 260 lesions (233 metastatic, 27 benign), 212 (82%; 95% confidence interval [CI]: 76%, 86%) were detected with RD CT, whereas 252 (97%; 95% CI: 94%, 99%) were detected with SD (P < .001); per-lesion sensitivity was 79% (95% CI: 74%, 84%) and 94% (95% CI: 90%, 96%) (P < .001), respectively. Mean qualitative scores ranked SD images as higher quality than RD series images, and ASIR-V ranked higher than ASIR and Veo 3.0. Conclusion CT evaluation of colorectal liver metastases is compromised with modest radiation dose reduction, and the use of iterative reconstructions could not maintain observer performance. © RSNA, 2018.

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Year:  2018        PMID: 30480489      PMCID: PMC6357984          DOI: 10.1148/radiol.2018181657

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  40 in total

1.  Automated assessment of low contrast sensitivity for CT systems using a model observer.

Authors:  I Hernandez-Giron; J Geleijns; A Calzado; W J H Veldkamp
Journal:  Med Phys       Date:  2011-07       Impact factor: 4.071

2.  Image comparative assessment using iterative reconstructions: clinical comparison of low-dose abdominal/pelvic computed tomography between adaptive statistical, model-based iterative reconstructions and traditional filtered back projection in 65 patients.

Authors:  Varut Vardhanabhuti; Richard D Riordan; Grant R Mitchell; Christopher Hyde; Carl A Roobottom
Journal:  Invest Radiol       Date:  2014-04       Impact factor: 6.016

3.  Effect of reduced radiation exposure and iterative reconstruction on detection of low-contrast low-attenuation lesions in an anthropomorphic liver phantom: an 18-reader study.

Authors:  Ajit H Goenka; Brian R Herts; Nancy A Obuchowski; Andrew N Primak; Frank Dong; Wadih Karim; Mark E Baker
Journal:  Radiology       Date:  2014-03-10       Impact factor: 11.105

4.  Third version of vendor-specific model-based iterativereconstruction (Veo 3.0): evaluation of CT image quality in the abdomen using new noise reduction presets and varied slice optimization.

Authors:  Morgan E Telesmanich; Corey T Jensen; Jose L Enriquez; Nicolaus A Wagner-Bartak; Xinming Liu; Ott Le; Wei Wei; Adam G Chandler; Eric P Tamm
Journal:  Br J Radiol       Date:  2017-07-14       Impact factor: 3.039

5.  Quantitative Measurements Versus Receiver Operating Characteristics and Visual Grading Regression in CT Images Reconstructed with Iterative Reconstruction: A Phantom Study.

Authors:  Kristin Jensen; Hilde Kjernlie Andersen; Örjan Smedby; Bjørn Helge Østerås; Anette Aarsnes; Anders Tingberg; Erik Fosse; Anne Catrine Martinsen
Journal:  Acad Radiol       Date:  2017-11-29       Impact factor: 3.173

6.  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

7.  Evaluation of Abdominal Computed Tomography Image Quality Using a New Version of Vendor-Specific Model-Based Iterative Reconstruction.

Authors:  Corey T Jensen; Morgan E Telesmanich; Nicolaus A Wagner-Bartak; Xinming Liu; John Rong; Janio Szklaruk; Aliya Qayyum; Wei Wei; Adam G Chandler; Eric P Tamm
Journal:  J Comput Assist Tomogr       Date:  2017-01       Impact factor: 1.826

8.  Model-based iterative reconstruction versus adaptive statistical iterative reconstruction and filtered back projection in liver 64-MDCT: focal lesion detection, lesion conspicuity, and image noise.

Authors:  William P Shuman; Doug E Green; Janet M Busey; Orpheus Kolokythas; Lee M Mitsumori; Kent M Koprowicz; Jean-Baptiste Thibault; Jiang Hsieh; Adam M Alessio; Eunice Choi; Paul E Kinahan
Journal:  AJR Am J Roentgenol       Date:  2013-05       Impact factor: 3.959

9.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

10.  Recurrence and outcomes following hepatic resection, radiofrequency ablation, and combined resection/ablation for colorectal liver metastases.

Authors:  Eddie K Abdalla; Jean-Nicolas Vauthey; Lee M Ellis; Vickie Ellis; Raphael Pollock; Kristine R Broglio; Kenneth Hess; Steven A Curley
Journal:  Ann Surg       Date:  2004-06       Impact factor: 12.969

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  13 in total

1.  Evaluation of Lower-Dose Spiral Head CT for Detection of Intracranial Findings Causing Neurologic Deficits.

Authors:  J G Fletcher; D R DeLone; A L Kotsenas; N G Campeau; V T Lehman; L Yu; S Leng; D R Holmes; P K Edwards; M P Johnson; G J Michalak; R E Carter; C H McCollough
Journal:  AJNR Am J Neuroradiol       Date:  2019-10-24       Impact factor: 3.825

2.  2021 European Thyroid Association Guidelines for the Management of Iodine-Based Contrast Media-Induced Thyroid Dysfunction.

Authors:  Tomasz Bednarczuk; Thomas H Brix; Wolfgang Schima; Georg Zettinig; George J Kahaly
Journal:  Eur Thyroid J       Date:  2021-06-16

3.  Deep learning image reconstruction in pediatric abdominal and chest computed tomography: a comparison of image quality and radiation dose.

Authors:  Kun Zhang; Xiang Shi; Shuang-Shuang Xie; Ji-Hang Sun; Zhuo-Heng Liu; Shuai Zhang; Jia-Yang Song; Wen Shen
Journal:  Quant Imaging Med Surg       Date:  2022-06

4.  Iterative reconstruction with multifrequency signal recognition technology to improve low-contrast detectability: A phantom study.

Authors:  Yoshinori Funama; Takashi Shirasaka; Taiga Goto; Yuko Aoki; Kana Tanaka; Ryo Yoshida
Journal:  Acta Radiol Open       Date:  2022-06-17

5.  Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases.

Authors:  Corey T Jensen; Shiva Gupta; Mohammed M Saleh; Xinming Liu; Vincenzo K Wong; Usama Salem; Wei Qiao; Ehsan Samei; Nicolaus A Wagner-Bartak
Journal:  Radiology       Date:  2022-01-11       Impact factor: 29.146

6.  Radiomics Response Signature for Identification of Metastatic Colorectal Cancer Sensitive to Therapies Targeting EGFR Pathway.

Authors:  Laurent Dercle; Lin Lu; Lawrence H Schwartz; Min Qian; Sabine Tejpar; Peter Eggleton; Binsheng Zhao; Hubert Piessevaux
Journal:  J Natl Cancer Inst       Date:  2020-09-01       Impact factor: 13.506

7.  Low-dose MDCT: evaluation of the impact of systematic tube current reduction and sparse sampling on quantitative paraspinal muscle assessment.

Authors:  Egon Burian; Nico Sollmann; Kai Mei; Michael Dieckmeyer; Daniela Juncker; Maximilian Löffler; Tobias Greve; Claus Zimmer; Jan S Kirschke; Thomas Baum; Peter B Noël
Journal:  Quant Imaging Med Surg       Date:  2021-07

8.  A study of using a deep learning image reconstruction to improve the image quality of extremely low-dose contrast-enhanced abdominal CT for patients with hepatic lesions.

Authors:  Le Cao; Xiang Liu; Jianying Li; Tingting Qu; Lihong Chen; Yannan Cheng; Jieliang Hu; Jingtao Sun; Jianxin Guo
Journal:  Br J Radiol       Date:  2020-12-11       Impact factor: 3.039

9.  Third-generation iterative reconstruction on a dual-source, high-pitch, low-dose chest CT protocol with tin filter for spectral shaping at 100 kV: a study on a small series of COVID-19 patients.

Authors:  Andrea Agostini; Alessandra Borgheresi; Marina Carotti; Letizia Ottaviani; Myriam Badaloni; Chiara Floridi; Andrea Giovagnoni
Journal:  Radiol Med       Date:  2020-10-12       Impact factor: 3.469

10.  Effect of obesity on ability to lower exposure for detection of low-attenuation liver lesions.

Authors:  Brian R Herts; Andrew Schreiner; Frank Dong; Andrew Primak; Jennifer Bullen; Wadih Karim; Douglas Nachand; Sara Hunter; Mark E Baker
Journal:  J Appl Clin Med Phys       Date:  2020-12-28       Impact factor: 2.102

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