Objectives: The purpose of this study was to determine the sensitivity of breastspecific gamma imaging (BSGI) in the detection of invasive breast cancers and to characterise the sensitivity of BSGI based on tumour size and pathological grade. Methods: 139 females with invasive carcinoma who underwent BSGI were retrospectively reviewed. Patients were injected in the antecubital vein with 20-30 mCi (925-1110 MBq) of 99m Tc-sestamibi. Images were obtained with a high-resolution, breast-specific gamma camera (Dilon 6800; Dilon Technologies, Newport News, VA) and were categorised based on radiotracer uptake as normal, normal with heterogeneous uptake, probably abnormal and abnormal. For a positive examination, the region of the area of increased uptake had to correlate with the laterality and location of the biopsy-proven cancer. Results: 149 invasive cancers in 139 patients with a mean size of 1.8 cm (0.2-8.5 cm) were included. 146 were identified with BSGI (98.0%). All cancers which measured $0.7 cm (n5123) as well as all cancers grade 2 or higher (n5102), regardless of tumour size, were identified with BSGI (100%). There were 6 cancers that were pathological grade 1 and measured ,7 mm, of which 50% (3/6) were identified with BSGI. The overall sensitivity of BSGI for the detection of invasive breast cancer is 98.0%. The sensitivity for subcentimetre cancers is 88.5% (23/26). Conclusion: BSGI has a high sensitivity for the detection of invasive breast cancer. Our results demonstrate that BSGI detected all invasive breast cancers pathological grade 2 and higher regardless of size and all cancers which measured $7 mm regardless of grade. BSGI can reliably detect invasive breast cancers and is a useful adjunct imaging modality for the diagnosis of breast cancer. Mammography has remained the modality of choice for breast cancer screening. Nevertheless, it is an imperfect examination with a sensitivity of 78-85% that declines to 68% in females with dense breasts [1][2][3][4][5][6]. The limitations of mammography have resulted in the development of adjunct imaging modalities to improve breast cancer detection. Most frequently, ultrasound is used in conjunction with mammography as an adjunct imaging modality for breast cancer diagnosis, particularly in females with dense breasts [2].Mammography and ultrasound are both anatomical approaches for the diagnosis of breast cancer. Nuclear medicine techniques that utilise physiological properties of tumours are increasingly being used. A meta-analysis of scintimammographic studies using a traditional, general purpose gamma camera demonstrated an average sensitivity of 84% for breast cancer detection, although many of the cancers included in these studies were palpable and larger [7]. However, scintimammography with a general purpose gamma camera is limited in the detection of non-palpable cancers and cancers less than 1 cm in size because of intrinsic resolution limitations [8][9][10][11]. Another limitation is the inability of a general purpose gamma camera to image in positions...

BSGI has high sensitivities for the detection of breast cancer in women with dense and nondense breasts and is an effective adjunct imaging modality in women with both dense and nondense breasts.

WHAT'S KNOWN ON THIS SUBJECT: Sleeping on a sofa increases the risk of sudden and unexpected infant death.WHAT THIS STUDY ADDS: Infant deaths on sofas are associated with nonsupine placement, being found in side position, surface sharing, changing sleep location, and experiencing prenatal tobacco exposure. These results may help explain why sofa sleeping is hazardous for infants. abstract OBJECTIVE: Sleeping on sofas increases the risk of sudden infant death syndrome and other sleep-related deaths. We sought to describe factors associated with infant deaths on sofas. METHODS:We analyzed data for infant deaths on sofas from 24 states in 2004 to 2012 in the National Center for the Review and Prevention of Child Deaths Case Reporting System database. Demographic and environmental data for deaths on sofas were compared with data for sleep-related infant deaths in other locations, using bivariate and multivariable, multinomial logistic regression analyses. RESULTS:A total of 1024 deaths on sofas made up 12.9% of sleeprelated infant deaths. They were more likely than deaths in other locations to be classified as accidental suffocation or strangulation (adjusted odds ratio [aOR] 1.9; 95% confidence interval [CI], 1.6-2.3) or ill-defined cause of death (aOR 1.2; 95% CI, 1.0-1.5). Infants who died on sofas were less likely to be Hispanic (aOR 0.7; 95% CI, 0.6-0.9) compared with non-Hispanic white infants or to have objects in the environment (aOR 0.6; 95% CI, 0.5-0.7) and more likely to be sharing the surface with another person (aOR 2.4; 95% CI, 1.9-3.0), to be found on the side (aOR 1.9; 95% CI, 1.4-2.4), to be found in a new sleep location (aOR 6.5; 95% CI, 5.2-8.2), and to have had prenatal smoke exposure (aOR 1.4; 95% CI, 1.2-1.6). Data on recent parental alcohol and drug consumption were not available. CONCLUSIONS:The sofa is an extremely hazardous sleep surface for infants. Deaths on sofas are associated with surface sharing, being found on the side, changing sleep location, and experiencing prenatal tobacco exposure, which are all risk factors for sudden infant death syndrome and sleep-related deaths.

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