Positron emission mammography in the diagnosis of breast cancer

Müller, Frank; Farahati, Jamshid; Müller, Andreas; Gillman, E.; Hentschel, Michael

doi:10.3413/nukmed-0753-15-07

Cited by 10 publications

(3 citation statements)

References 21 publications

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“…Claustrophobia is one of the most common phobias experienced by both men and women around the world, which leads some patients preferring not to choose such devices [19]. Specificity (%) 98.5 [23] 96.9 [23] 80.7 [30] 88.5 [35] 89.7 [40] 85 [45] 89 [49] 71.4 [53] 87 [58] 96 [62] 59.5 [67] 71 [72] 89.4 [78] Sensitivity (%) 66.1 [23] 69.1 [23] 92 [30] 72.6 [35] 82 [41] 90 [45] 95 [49] 100 [53] 91 [58] 95 [63] 96.4 [67] 87 [72] 95.6 [78] Total Scan Time 5 sec. [24] 6 sec.…”

Section: Jinst 15 C05029mentioning

confidence: 99%

Evaluation and simulation of breast cancer imaging devices using multi-criteria decision theory

Erdagli¹,

Ozsahin

Uzun³

2020

J. Inst.

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Breast cancer is the most common type of cancer seen in women. The incidence of breast cancer increases with age. The most important factor in breast cancer is that it is diagnosed before spreading to other organs by the blood or lymph circulation. When cancer is diagnosed at an early stage, the success rate of breast cancer treatment is over 90%. For this reason, breast cancer imaging devices should be used for early diagnosis of breast cancer. The main aim of this study is to shed more light on the parameters that affect the different imaging device alternatives for breast cancer and how these parameters affect the preference ranking of each imaging technique. In this study, the most commonly used imaging devices for breast cancer are analysed based on various parameters that are likely to affect the outcome of the imaging methods. These parameters are the cost per scan, cost of the device, radiation dose, specificity, sensitivity, total scan time, spatial resolution, comparison with the natural radiation exposure, real 3D, compression and claustrophobia. According to this study, positron emission mammography and breast computed tomography are the best breast cancer imaging techniques for both patients and hospitals. The analysis and ranking were evaluated and compared using fuzzy PROMETHEE, a multi-criteria decision-making technique. K: Computerized Tomography (CT) and Computed Radiography (CR); Gamma camera, SPECT, PET PET/CT, coronary CT angiography (CTA); Medical-image reconstruction methods and algorithms, computer-aided diagnosis; X-ray mammography and scinto-and MRI-mammography 1Corresponding author.

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Section: Jinst 15 C05029mentioning

confidence: 99%

Evaluation and simulation of breast cancer imaging devices using multi-criteria decision theory

Erdagli¹,

Ozsahin

Uzun³

2020

J. Inst.

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“…The maximum PUV for a region of interest (PUVmax) has been shown to be superior to other quantitative measures such as lesion to background (LTB) ratio for differentiating between benign and malignant tissue due to the simplicity and reproducibility of PUVmax 27 . Muller 28 suggested a threshold value of PUVmax >1.9 as predictive of malignancy based on an analysis of 108 patients. Other studies 1,27 have found it difficult to use a discriminatory threshold for predicting malignancy, although median PUVmax for malignancies was significantly greater than that for benign lesions.…”

Section: Quantificationmentioning

confidence: 99%

Use of Breast-Specific PET Scanners and Comparison with MR Imaging

Narayanan

Berg

2018

Magnetic Resonance Imaging Clinics of North America

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“…No specified threshold for malignancy exists, although a recent study comparing LTB and PUV max recommended the use of PUV max due to its simplicity and reproducibility 26 . Another study 27 evaluated PUV max and LTB using healthy tissue in the contralateral breast as background and found that both PUV max and LTB were significantly higher for tumors compared to benign lesions. In that study, Muller et al suggested a threshold value of PUV max >1.9 and found that among 151 pathologically proven lesions, PEM had 100% sensitivity (26/26 lesions) and 96% specificity (120/125 lesions).…”

Section: Imaging Techniques and Interpretationmentioning

confidence: 99%

Dedicated Breast Gamma Camera Imaging and Breast PET

Narayanan

Berg

2018

PET Clinics

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Recent advances in nuclear medicine instrumentation have led to the emergence of improved molecular imaging techniques to image breast cancer: dedicated gamma cameras using γ-emitting Tc-sestamibi and breast-specific PET cameras usingF-fluorodeoxyglucose. This article focuses on the current role of such approaches in the clinical setting including diagnosis, assessing local extent of disease, monitoring response to therapy, and, for gamma camera imaging, possible supplemental screening in women with dense breasts. Barriers to clinical adoption and technologies and radiotracers under development are also discussed.

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Positron emission mammography in the diagnosis of breast cancer

Abstract: PEM is capable of differentiating breast tumours from benign lesions with 100% sensitivity along with a high specificity of 96%, when a threshold of PUVmax >1.9 is applied.

Cited by 10 publications

References 21 publications

Evaluation and simulation of breast cancer imaging devices using multi-criteria decision theory

Evaluation and simulation of breast cancer imaging devices using multi-criteria decision theory

Use of Breast-Specific PET Scanners and Comparison with MR Imaging

Dedicated Breast Gamma Camera Imaging and Breast PET

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