Contrast Optimization in Clinical Contrast-Enhanced Digital Mammography Images

Cruz‐Bastida, Juan P.; Rosado-Méndez, Iván M.; Pérez-Ponce, Héctor; Villaseñor, Yolanda; Galván, Héctor A.; Trujillo‐Zamudio, F. E.; Benı́tez-Bribiesca, Luis; Brandan, M. E.

doi:10.1007/978-3-642-31271-7_3

Cited by 6 publications

(7 citation statements)

References 9 publications

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“…Our group recently proposed 9 an alternative procedure based not on a single weight factor (a number) obtained from the ROI mean values but on pixel-by-pixel relative values (a matrix) obtained from the LE and HE masks. This subtraction procedure when applied to DET modality is referred to as DETm (DET with a matrix).…”

Section: Introductionmentioning

confidence: 99%

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Clinical study of contrast-enhanced digital mammography and the evaluation of blood and lymphatic microvessel density

Brandan

Cruz‐Bastida

Rosado-Méndez

et al. 2016

BJR

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Objective: To correlate image parameters in contrastenhanced digital mammography (CEDM) with blood and lymphatic microvessel density (MVD). Methods: 18 Breast Imaging-Reporting and Data System (BI-RADS)-4 to BI-RADS-5 patients were subjected to CEDM. Craniocaudal views were acquired, two views (low and high energy) before iodine contrast medium (CM) injection and four views (high energy) 1-5 min afterwards. Processing included registration and two subtraction modalities, traditional single-energy temporal (highenergy) and "dual-energy temporal with a matrix", proposed to improve lesion conspicuity. Images were calibrated into iodine thickness, and iodine uptake, contrast, time-intensity and time-contrast kinetic curves were quantified. Image indicators were compared with MVD evaluated by anti-CD105 and anti-podoplanin (D2-40) immunohistochemistry. Results: 11 lesions were cancerous and 7 were benign. CEDM subtraction strongly increased conspicuity of lesions enhanced by iodine uptake. A strong correlation was observed between lymphatic vessels and blood vessels; all benign lesions had ,30 blood microvessels per field, and all cancers had more than this value. MVD showed no correlation with iodine uptake, nor with contrast. The most frequent curve was early uptake followed by plateau for uptake and contrast in benign and malignant lesions. The positive-predictive value of uptake dynamics was 73% and that of contrast was 64%. Conclusion: CEDM increased lesion visibility and showed additional features compared with conventional mammography. Lack of correlation between image parameters and MVD is probably due to tumour tissue heterogeneity, mammography projective nature and/or dependence of extracellular iodine irrigation on tissue composition. Advances in knowledge: Quantitative analysis of CEDM images was performed. Image parameters and MVD showed no correlation. Probably, this is indication of the complex dependence of CM perfusion on tumour microenvironment.

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Section: Introductionmentioning

confidence: 99%

“…Most importantly, it provided quantitative consistency between SET and DET contrast values. 9 It is well established that tumour growth beyond a few millimetres is accompanied by increasing vascularity. Tumours produce a series of molecules that stimulate the formation of blood vessels, mainly the vascular endothelial growth factor.…”

Section: Introductionmentioning

confidence: 99%

Clinical study of contrast-enhanced digital mammography and the evaluation of blood and lymphatic microvessel density

Brandan

Cruz‐Bastida

Rosado-Méndez

et al. 2016

BJR

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“…When this formalism was applied to the pilot clinical images, the abnormally small contrast previously obtained with DE modality disappeared (the contrast for DETm was 5 times larger than for DET, see subtracted images in Fig. 4 right) and, numerically, SET and DETm gave the same values for equal iodine mass thicknesses [17].…”

Section: Proposal For De Subtraction Based On An Energy-compensating mentioning

confidence: 82%

“…The proposed method consisted in defining the multiplicative factor for DE modalities (Eqs. 1 and 3) as a matrix, calculated pixel-by-pixel from "mask" images of the breast, acquired before the CM was administered [17]. Applying this to DET subtraction (Eq.…”

Section: Proposal For De Subtraction Based On An Energy-compensating mentioning

confidence: 99%

Contrast-enhanced digital mammography and other techniques based on image subtraction

Brandan

2016

AIP Conference Proceedings

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A method to optimize the image acquisition protocol of a MicroCT unit for preclinical studies using contrast-enhanced digital subtraction AIP Conference Proceedings 1747, 080003 (2016) Abstract. This article reviews research done by the author and collaborators in the general area of subtraction techniques applied to radiological images, in particular in contrast-enhanced digital mammography (CEDM). Main achievements have been the development and phantom validation of a general formalism to subtract images using dual-energy or temporal modalities, the proposal of a hybrid modality called dual-energy temporal, and of a matrix-based compensation for the energy dependence of the anatomical background for dual-energy subtraction. This has been validated with nonhomogenous phantom measurements and applied to clinical images using iodine-based contrast medium. Results from the clinical study have led the group to study the correlation between CEDM image parameters and angiogenic biomarkers in a murine breast cancer model. Clinical CEDM subtracted images have been subjected to textural analysis.

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“…DE takes advantage of the change in linear attenuation coefficients, processing two images acquired with different X-ray spectra (low-and high-energy). Image subtraction is defined as [6] ), , ( ) , ( (1) where I sub is the subtracted image, I(t i ,Q i ) are the original images acquired at time i with spectra Q i , and α is a weighting factor. In DE, can be chosen so that the pixel values of the non-iodinated tissue become zero after the subtraction [7].…”

Section: Introductionmentioning

confidence: 99%

A method to optimize the image acquisition protocol of a MicroCT unit for preclinical studies using contrast-enhanced digital subtraction

Berumen

Ayala-Domínguez

Medina

et al. 2016

AIP Conference Proceedings

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Contrast Optimization in Clinical Contrast-Enhanced Digital Mammography Images

Cited by 6 publications

References 9 publications

Clinical study of contrast-enhanced digital mammography and the evaluation of blood and lymphatic microvessel density

Clinical study of contrast-enhanced digital mammography and the evaluation of blood and lymphatic microvessel density

Contrast-enhanced digital mammography and other techniques based on image subtraction

A method to optimize the image acquisition protocol of a MicroCT unit for preclinical studies using contrast-enhanced digital subtraction

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