Adaptive Statistical Iterative Reconstruction Improves Image Quality without Affecting CT Perfusion Quantitation in Primary Colorectal Cancer

PROSPeCT Investigators; Davide Prezzi; Vicky Goh; S Virdi; Susan Mallett; c Grierson; D Breen

doi:10.1016/j.ejro.2017.05.003

Adaptive Statistical Iterative Reconstruction Improves Image Quality without Affecting CT Perfusion Quantitation in Primary Colorectal Cancer

PROSPeCT Investigators, Davide Prezzi, Vicky Goh, S Virdi, Susan Mallett, c Grierson, D Breen

Applied Health Research

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Abstract

Objectives
To determine the effect of Adaptive Statistical Iterative Reconstruction (ASIR) on perfusion CT (pCT) parameter quantitation and image quality in primary colorectal cancer.

Methods
Prospective observational study. Following institutional review board approval and informed consent, 32 patients with colorectal adenocarcinoma underwent pCT (100 kV, 150 mA, 120 s acquisition, axial mode). Tumour regional blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability surface area product (PS) were determined using identical regions-of-interests for ASIR percentages of 0%, 20%, 40%, 60%, 80% and 100%. Image noise, contrast-to-noise ratio (CNR) and pCT parameters were assessed across ASIR percentages. Coefficients of variation (CV), repeated measures analysis of variance (rANOVA) and Spearman’ rank order correlation were performed with statistical significance at 5%.

Results
With increasing ASIR percentages, image noise decreased by 33% while CNR increased by 61%; peak tumour CNR was greater than 1.5 with 60% ASIR and above. Mean BF, BV, MTT and PS differed by less than 1.8%, 2.9%, 2.5% and 2.6% across ASIR percentages. CV were 4.9%, 4.2%, 3.3% and 7.9%; rANOVA P values: 0.85, 0.62, 0.02 and 0.81 respectively.

Conclusions
ASIR improves image noise and CNR without altering pCT parameters substantially.

Original language	English
Pages (from-to)	69
Number of pages	74
Journal	European Journal of Radiology
Volume	4
Early online date	1 Jun 2017
DOIs	https://doi.org/10.1016/j.ejro.2017.05.003
Publication status	Published - 2017

Keywords

Multidetector computed tomography
Radiation dosage
Perfusion imaging
Computer-assisted image processing
Colorectal neoplasms

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Prezzi_et_al_Adaptive_Statistical_Iterative_Reconstruction_European_Journal_RadiologyAccepted author manuscript, 100 KBLicence: Creative Commons: Attribution-NonCommercial-NoDerivs (CC BY-NC-ND)

Cite this

@article{6923117e595146b19badb7247b2ee6d6,

title = "Adaptive Statistical Iterative Reconstruction Improves Image Quality without Affecting CT Perfusion Quantitation in Primary Colorectal Cancer",

abstract = "ObjectivesTo determine the effect of Adaptive Statistical Iterative Reconstruction (ASIR) on perfusion CT (pCT) parameter quantitation and image quality in primary colorectal cancer.MethodsProspective observational study. Following institutional review board approval and informed consent, 32 patients with colorectal adenocarcinoma underwent pCT (100 kV, 150 mA, 120 s acquisition, axial mode). Tumour regional blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability surface area product (PS) were determined using identical regions-of-interests for ASIR percentages of 0%, 20%, 40%, 60%, 80% and 100%. Image noise, contrast-to-noise ratio (CNR) and pCT parameters were assessed across ASIR percentages. Coefficients of variation (CV), repeated measures analysis of variance (rANOVA) and Spearman{\textquoteright} rank order correlation were performed with statistical significance at 5%.ResultsWith increasing ASIR percentages, image noise decreased by 33% while CNR increased by 61%; peak tumour CNR was greater than 1.5 with 60% ASIR and above. Mean BF, BV, MTT and PS differed by less than 1.8%, 2.9%, 2.5% and 2.6% across ASIR percentages. CV were 4.9%, 4.2%, 3.3% and 7.9%; rANOVA P values: 0.85, 0.62, 0.02 and 0.81 respectively.ConclusionsASIR improves image noise and CNR without altering pCT parameters substantially.",

keywords = "Multidetector computed tomography, Radiation dosage, Perfusion imaging, Computer-assisted image processing, Colorectal neoplasms",

author = "{PROSPeCT Investigators} and Davide Prezzi and Vicky Goh and S Virdi and Susan Mallett and c Grierson and D Breen",

year = "2017",

doi = "10.1016/j.ejro.2017.05.003",

language = "English",

volume = "4",

pages = "69",

journal = "European Journal of Radiology",

issn = "0720-048X",

publisher = "Elsevier",

}

TY - JOUR

T1 - Adaptive Statistical Iterative Reconstruction Improves Image Quality without Affecting CT Perfusion Quantitation in Primary Colorectal Cancer

AU - PROSPeCT Investigators

AU - Prezzi, Davide

AU - Goh, Vicky

AU - Virdi, S

AU - Mallett, Susan

AU - Grierson, c

AU - Breen, D

PY - 2017

Y1 - 2017

N2 - ObjectivesTo determine the effect of Adaptive Statistical Iterative Reconstruction (ASIR) on perfusion CT (pCT) parameter quantitation and image quality in primary colorectal cancer.MethodsProspective observational study. Following institutional review board approval and informed consent, 32 patients with colorectal adenocarcinoma underwent pCT (100 kV, 150 mA, 120 s acquisition, axial mode). Tumour regional blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability surface area product (PS) were determined using identical regions-of-interests for ASIR percentages of 0%, 20%, 40%, 60%, 80% and 100%. Image noise, contrast-to-noise ratio (CNR) and pCT parameters were assessed across ASIR percentages. Coefficients of variation (CV), repeated measures analysis of variance (rANOVA) and Spearman’ rank order correlation were performed with statistical significance at 5%.ResultsWith increasing ASIR percentages, image noise decreased by 33% while CNR increased by 61%; peak tumour CNR was greater than 1.5 with 60% ASIR and above. Mean BF, BV, MTT and PS differed by less than 1.8%, 2.9%, 2.5% and 2.6% across ASIR percentages. CV were 4.9%, 4.2%, 3.3% and 7.9%; rANOVA P values: 0.85, 0.62, 0.02 and 0.81 respectively.ConclusionsASIR improves image noise and CNR without altering pCT parameters substantially.

AB - ObjectivesTo determine the effect of Adaptive Statistical Iterative Reconstruction (ASIR) on perfusion CT (pCT) parameter quantitation and image quality in primary colorectal cancer.MethodsProspective observational study. Following institutional review board approval and informed consent, 32 patients with colorectal adenocarcinoma underwent pCT (100 kV, 150 mA, 120 s acquisition, axial mode). Tumour regional blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability surface area product (PS) were determined using identical regions-of-interests for ASIR percentages of 0%, 20%, 40%, 60%, 80% and 100%. Image noise, contrast-to-noise ratio (CNR) and pCT parameters were assessed across ASIR percentages. Coefficients of variation (CV), repeated measures analysis of variance (rANOVA) and Spearman’ rank order correlation were performed with statistical significance at 5%.ResultsWith increasing ASIR percentages, image noise decreased by 33% while CNR increased by 61%; peak tumour CNR was greater than 1.5 with 60% ASIR and above. Mean BF, BV, MTT and PS differed by less than 1.8%, 2.9%, 2.5% and 2.6% across ASIR percentages. CV were 4.9%, 4.2%, 3.3% and 7.9%; rANOVA P values: 0.85, 0.62, 0.02 and 0.81 respectively.ConclusionsASIR improves image noise and CNR without altering pCT parameters substantially.

KW - Multidetector computed tomography

KW - Radiation dosage

KW - Perfusion imaging

KW - Computer-assisted image processing

KW - Colorectal neoplasms

U2 - 10.1016/j.ejro.2017.05.003

DO - 10.1016/j.ejro.2017.05.003

M3 - Article

SN - 0720-048X

VL - 4

SP - 69

JO - European Journal of Radiology

JF - European Journal of Radiology

ER -

Adaptive Statistical Iterative Reconstruction Improves Image Quality without Affecting CT Perfusion Quantitation in Primary Colorectal Cancer

Abstract

Keywords

UN SDGs

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