The role of breast compression in scintimammography

Pani, R.; Pellegrini, R.; Solouri, A.; Weinberg, I.; Vincentis, Giuseppe De; Scafè, R.; Cinti, M.N.; Betti, M.; Inches, R.; Scopinaro, Francesco; Garibuldi, F.; Cusanno, F.; Guerra, A. Del; Khalkhali, Iraj

doi:10.1109/nssmic.2000.949359

Cited by 15 publications

(19 citation statements)

References 2 publications

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“…Further, in pixellated cameras gamma ray location determination is discretized and is thus independent of energy resolution (unlike in cameras using Anger logic). In contrast with these results, reference [13] suggests that energy resolution is indeed important for scintimammography because of the prevalence of Compton-scattered events reaching the detector. However, the phantom geometry in that work was different, the scintimammography camera was not pixellated, and the range of energy resolutions examined was considerably larger at 10-30% fwhm.…”

Section: Discussionmentioning

confidence: 82%

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Monte Carlo simulation of breast tumor imaging properties with compact, discrete gamma cameras

Gruber

Moses

Derenzo

1999

IEEE Trans. Nucl. Sci.

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We describe Monte Carlo simulation results for breast tumor imaging using a compact, discrete gamma camera. The simulations were designed to analyze and optimize camera design, particularly collimator configuration and detector pixel size. Simulated planar images of 5-15 mm diameter tumors in a phantom patient (including a breast, torso, and heart) were generated for imaging distances of 5-55 mm, pixel sizes of 2x2-4x4 mm2, and hexagonal and square hole collimators with sensitivities from 4000 to 16,000 counts/mCi/sec. Other factors considered included T/B (tumor-to-background tissue uptake ratio) and detector energy resolution. Image properties were quantified by computing the observed tumor fwhm (fullwidth at half-maximum) and S/N (sum of detected tumor events divided by the statistical noise). Results suggest that hexagonal and square hole collimators perform comparably, that higher sensitivity collimators provide higher tumor SM with little increase in the observed tumor fwhm, that smaller pixels only slightly improve tumor fwhm and S/N, and that improved detector energy resolution has little impact on either the observed tumor fwhm or the observed tumor S/N.

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Section: Discussionmentioning

confidence: 82%

“…where the pixels chosen as the tumor ROI (region of interest) are a symmetric pattern of 1, 5, 9,13, 21, 29, 37, or 45 pixels centered beneath the tumor. For every simulated image the S/N is computed using each of these possible ROIs and the maximum S/N value is reported.…”

Section: Characterizing Tumor Imagesmentioning

confidence: 99%

Monte Carlo simulation of breast tumor imaging properties with compact, discrete gamma cameras

Gruber

Moses

Derenzo

1999

IEEE Trans. Nucl. Sci.

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“…With respect to tumor size, concurrently low sensitivity of scintigraphy in detecting breast cancer smaller than 1 cm was reported [22,32]. Compton scatter has been discussed as one possible cause of false-negative findings in small lesions [36]. Lesions located in the depth of the breast may be missed because of attenuation or interference from intrathoracic activity [22].…”

Section: Discussionmentioning

confidence: 99%

Comparison of dynamic MR imaging of the breast and sestamibi scintimammography for evaluation of indeterminate mammographic lesions

et al. 2001

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The aim of this study was to compare Tc-99m sestamibi scintimammography and dynamic contrast-enhanced MR imaging for the evaluation of indeterminate mammographic lesions. Forty patients with questionable mammographic findings were included in a prospective study. Thirty lesions were non-palpable. Mean lesion size was 1.6+/-0.7 cm (range 0.5-3.5 cm). Scintigraphy was considered as malignant when focal tracer accumulation was present. In MR imaging, lesions were classified according to their signal intensity time course: no enhancement or steady enhancement with low signal intensity (M0); steady enhancement with high signal intensity (M1); or rapid enhancement with plateau (M2) or washout (M3). Lesions classified as M2 or M3 were considered as suspicious for malignancy. Histopathologic evaluation was performed in 24 lesions. In 16 cases lesions were classified as benign from follow-up examinations (mean 24 months). Malignancies were proven in 14 patients (9 invasive carcinomas, 5 ductal carcinoma in situ). Sensitivity of MR imaging was 12 of 14 (86%) and sensitivity of scintimammography was 8 of 14 (57%). One of 26 benign lesions was false positive at MR imaging. Scintigraphy showed no false-positive results. In conclusion, magnetic resonance imaging provided high accuracy in evaluation of indeterminate mammographic lesions. Sensitivity of scintimammography was too low in detecting small carcinomas.

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“…For instance, breast compression often needed as it holds the breast still and enhances the spatial resolution. It also evens out the breast thickness and reduces scater in X-ray or γ-ray imaging [11], thus increasing image sharpness. Moreover, it spreads out the tissue so that the overlying breast tissue will not obscure small abnormalities.…”

Section: Requirements For Breast Imagingmentioning

confidence: 99%

Detection and Diagnosis of Breast Diseases

Alnafea¹

2018

Breast Imaging

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Cancer is a disease that starts in a localized organ or tissue and then grows out of control. Breast cancer is an important health problem as in the Western world; it is the second most frequent cause of cancer death in women (after lung cancer). The incidence rate, however, rises dramatically over the age of 50 years. This is may be due to several risk factors, such as family history, genetics, early menstruation, late menopause, and other factors, that have not yet been identiied. The problems of breast diseases have prompted global governments to put constant eforts to increase patient's recovery level against this disease. Early and accurate detection with mass screening programs helps improves a woman's chances for successful treatment. It also minimizes pain, sufering, and anxiety that surround patients and their families. The current and the most cost-efective technique used for screening and diagnosis of breast cancer is X-ray mammography. It is the state-of-the-art for earlier detection to improve both prognosis and survival rate. This is may be due to its good availability, high sensitivity, and relatively low cost/patient. The goal of this chapter is to introduce the problems caused by breast cancer. Starting with an overview of the requirement for breast tumor imaging and the diagnostic techniques used for breast cancer assessment are briely described, highlighting the advantages and disadvantages of each technique. In addition, the problems associated with a relatively new functional breast imaging technique namely scintimammography were introduced and discussed. The intention that the chapter provide the reader with suicient background on the available diagnostic techniques of breast tumor imaging approach, as well as an overview of the literature.

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The role of breast compression in scintimammography

Cited by 15 publications

References 2 publications

Monte Carlo simulation of breast tumor imaging properties with compact, discrete gamma cameras

Monte Carlo simulation of breast tumor imaging properties with compact, discrete gamma cameras

Comparison of dynamic MR imaging of the breast and sestamibi scintimammography for evaluation of indeterminate mammographic lesions

Detection and Diagnosis of Breast Diseases

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