The use of zeolites to generate PET phantoms for the validation of quantification strategies in oncology

Zito, Felicia; Bernardi, Elisabetta De; Soffientini, Chiara Dolores; Canzi, Cristina; Casati, R.; Gerundini, Paolo; Baselli, Giuseppe

doi:10.1118/1.4736812

Cited by 22 publications

(29 citation statements)

References 45 publications

(70 reference statements)

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“…Zeolites are porous aluminosilicate minerals already used to simulate oncological lesions in anthropomorphic phantoms assessed by 18 F-FDG PET-CT studies. When soaked into an aqueous solution of 18 F-FDG, they are able to absorb and not release 18 F-FDG molecule, in a nonhomogeneous way for short soaking duration and in a homogeneous way for long soaking duration [42]. Zeolites with nonspherical shape and sphere-equivalent diameters = 10.3 mm, 9.9 mm, and 7.9 mm were placed in the breast phantom and were used for the estimation of bias induced by the proposed PVE correction method specifically for nonspherical and nonuniform lesions.…”

Section: Methodsmentioning

confidence: 99%

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A Partial Volume Effect Correction Tailored for¹⁸F-FDG-PET Oncological Studies

Gallivanone

Canevari²,

Salvatore

et al. 2013

BioMed Research International

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We have developed, optimized, and validated a method for partial volume effect (PVE) correction of oncological lesions in positron emission tomography (PET) clinical studies, based on recovery coefficients (RC) and on PET measurements of lesion-to-background ratio (L/B m) and of lesion metabolic volume. An operator-independent technique, based on an optimised threshold of the maximum lesion uptake, allows to define an isocontour around the lesion on PET images in order to measure both lesion radioactivity uptake and lesion metabolic volume. RC are experimentally derived from PET measurements of hot spheres in hot background, miming oncological lesions. RC were obtained as a function of PET measured sphere-to-background ratio and PET measured sphere metabolic volume, both resulting from the threshold-isocontour technique. PVE correction of lesions of a diameter ranging from 10 mm to 40 mm and for measured L/B m from 2 to 30 was performed using measured RC curves tailored at answering the need to quantify a large variety of real oncological lesions by means of PET. Validation of the PVE correction method resulted to be accurate (>89%) in clinical realistic conditions for lesion diameter > 1 cm, recovering >76% of radioactivity for lesion diameter < 1 cm. Results from patient studies showed that the proposed PVE correction method is suitable and feasible and has an impact on a clinical environment.

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Section: Methodsmentioning

confidence: 99%

“…Zeolites were prepared as described in [42]. They were soaked into an aqueous solution of 18 F-FDG with an actual radioactivity concentration of 0.17 MBq × mL −1 .…”

Section: Methodsmentioning

confidence: 99%

A Partial Volume Effect Correction Tailored for¹⁸F-FDG-PET Oncological Studies

Gallivanone

Canevari²,

Salvatore

et al. 2013

BioMed Research International

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“…Zeolites are aluminosilicate minerals featuring absorbing properties, widely used in industrial and biomedical applications . When a zeolite sample is heated to eliminate absorbed humidity and then soaked in an 18 F‐fluoro‐deoxy‐glucose ( 18 F‐FDG) radioactive solution, its uptake can be predicted according to the following equation:

Z e o l i t e U p t a k e (B q) = k \cdot Z e o l i t e D r y W e i g h t \cdot A_{s} \cdot e^{- λ Δ t}

…”

Section: Methodsmentioning

confidence: 99%

Technical Note: A new zeolite PET phantom to test segmentation algorithms on heterogeneous activity distributions featured with ground‐truth contours

et al. 2017

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“…The second data sets are taken from the Zeolite phantom, in which samples of clinoptilolite (a family of natural zeolites), with ability of absorbing aqueous solutions of 18 F _ FDG, are used to simulate irregularly shaped lesions [12]. Further evaluation of the technique was performed using seven clinical datasets with T3-T4 laryngeal squamous cell carcinoma from Louvain database [8].…”

Section: B Phantom and Clinical Studiesmentioning

confidence: 99%

Deformable model-based PET segmentation for heterogeneous tumor volume delineation

Abdoli

Dierckx

Zaidi³

2012

2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)

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PET-guided radiation therapy treatment planning, clinical diagnosis, assessment of tumor growth and therapy response are dependent on the accurate delineation of the tumor volume. Several PET segmentation techniques have been proposed in the recent years. Most these techniques fail in the presence of heterogeneity in the lesion. In this work, an active contour model based on the work presented by Chan and Vese (2001) is proposed to handle the heterogeneity of the lesion uptake. In the proposed method, the fitting terms in the Chan Vese formulation are modified by introducing extra input images, including the smoothed version of the original image, using anisotropic diffusion filtering (ADF) and a trous wavelet transform of the image to handle the heterogeneity of the lesion uptake and avoid getting stuck in local minima. The advantage of utilizing ADF for image smoothing is that it avoids blurring the object's edges and preserves the average activity within a region, which is an important property for accurate PET quantification. The a trous wavelet transform is utilized due to its easy implementation and better performance at high noise levels. The algorithm was evaluated using seven clinical datasets with T3-T4 laryngeal squamous cell carcinoma from Louvain database where the 3D histology served as reference for comparison. Further evaluation was performed using phantom studies. The proposed method is also compared with a number of commonly used segmentation techniques, including fixed thresholding by 40% of the maximum SUV, the thresholding technique proposed by Nestle et al., and a fuzzy clustering-based approach (FCM).The quantitative data analysis shows that the segmented volumes using the proposed method have the highest overlap with the histology volumes. Moreover, the relative errors of calculated volumes and classification errors are lowest when using the proposed approach. Therefore, the proposed PET segmentation technique seems suitable for accurate tumor volume delineation.

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The use of zeolites to generate PET phantoms for the validation of quantification strategies in oncology

Cited by 22 publications

References 45 publications

A Partial Volume Effect Correction Tailored for¹⁸F-FDG-PET Oncological Studies

A Partial Volume Effect Correction Tailored for¹⁸F-FDG-PET Oncological Studies

Technical Note: A new zeolite PET phantom to test segmentation algorithms on heterogeneous activity distributions featured with ground‐truth contours

Deformable model-based PET segmentation for heterogeneous tumor volume delineation

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The use of zeolites to generate PET phantoms for the validation of quantification strategies in oncology

Cited by 22 publications

References 45 publications

A Partial Volume Effect Correction Tailored for18F-FDG-PET Oncological Studies

A Partial Volume Effect Correction Tailored for18F-FDG-PET Oncological Studies

Technical Note: A new zeolite PET phantom to test segmentation algorithms on heterogeneous activity distributions featured with ground‐truth contours

Deformable model-based PET segmentation for heterogeneous tumor volume delineation

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Product

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A Partial Volume Effect Correction Tailored for¹⁸F-FDG-PET Oncological Studies

A Partial Volume Effect Correction Tailored for¹⁸F-FDG-PET Oncological Studies