The utility of breast cone-beam computed tomography, ultrasound, and digital mammography for detecting malignant breast tumors: A prospective study with 212 patients

He, Ningning; Wu, Yinsu; Kong, Yanan; Lv, Ning; Huang, Zhi; Sheng, Li; Wang, Yue; Geng, Zhi; Wu, Pei Hong; Wei, Wei Dong

doi:10.1016/j.ejrad.2015.11.029

Cited by 62 publications

(50 citation statements)

References 25 publications

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“…CBCT is a novel approach of breast investigation [8], [10], [18], [19]. To date, there are only few reports regarding this modality [8], [10], [19].…”

Section: Discussionmentioning

confidence: 99%

“…To date, there are only few reports regarding this modality [8], [10], [19]. As mentioned by O′Connel et al, breast CT displays 3D images of the internal structures of the breast, and, therefore, evaluation of suspicious features like microcalcifications, masses, and asymmetries can be made in multiple anatomical planes from a single scan [10], [20].…”

Section: Discussionmentioning

confidence: 99%

“…According to the literature, CBCT had a higher sensitivity in cancer diagnostic in comparison to breast ultrasound and mammography [8], [9].…”

Section: Introductionmentioning

confidence: 99%

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Cone-beam Breast Computed Tomography: CT Density Does Not Reflect Proliferation Potential and Receptor Expression of Breast Carcinoma

Wienbeck¹,

Fischer²,

Perske³

et al. 2017

Translational Oncology

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PURPOSE: Recently, cone-beam breast computed tomography (CBCT) is established for the breast investigation. The purpose of the present study was to investigate possible associations between CBCT findings and histopathological features in breast cancer. METHODS: Overall, 59 female patients, mean age of 64.6 years with histological proven breast cancer were included into the study. In all cases, non-contrast CBCT examination was done. The diagnosis of the identified lesions was confirmed histologically by biopsy. Immunohistochemical staining against estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and Ki-67 was performed for every lesion. Collected data were evaluated by means of descriptive statistics. Spearman's correlation coefficient was used to analyze the association between CT density and Ki-67 values. P values <0.05 were taken to indicate statistical significance in all instances. RESULTS: The size of the lesion varied from 2.7 to 90.0, mean size, 15.88 ± 13.0 mm. The mean value of CT density of the lesions was 63.95 ± 38.18 HU. The density tended to be higher in tubular carcinoma. Correlation analysis identified no significant correlations between CT density and Ki-67 level (r = −0.031, P = .784). There were no statistically significant differences of CT density between tumors with different receptor status. CONCLUSIONS: No significant associations between CT density and receptor status in breast cancer. Tubular carcinoma tended to have higher CT density in comparison to other subtypes of breast carcinomas.

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“…CBCT is a novel approach of breast investigation [8], [10], [18], [19]. To date, there are only few reports regarding this modality [8], [10], [19].…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Cone-beam Breast Computed Tomography: CT Density Does Not Reflect Proliferation Potential and Receptor Expression of Breast Carcinoma

Wienbeck¹,

Fischer²,

Perske³

et al. 2017

Translational Oncology

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“…CBBCT does not require compression and can be performed without or with iodinated contrast (NC‐CBBCT or CE‐CBBCT, respectively) . Some small studies have shown that NC‐CBBCT accurately diagnosed malignancies and had higher malignancy identification rates compared with mammogram and ultrasound . CE‐CBBCT has been thought to demonstrate tumor angiogenesis.…”

Section: Emerging Technologiesmentioning

confidence: 99%

“…These results suggest that 2 minutes is the optimal time for CE‐CBBCT. When comparing imaging modalities, CE‐CBBCT has been shown to have improved malignancy detection compared with mammograms . Wienbeck, et al have shown that MRI and CE‐CBBCT were more sensitive and accurate compared to noncontrast enhanced studies such as mammogram and NC‐CBBCT, but they are less specific.…”

Section: Emerging Technologiesmentioning

confidence: 99%

Screening of populations at high risk for breast cancer

Lee

Reyna

Shaughnessy

et al. 2019

Journal of Surgical Oncology

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The approach to screening patients at high risk for breast cancer has thus far been challenging to standardize, given limited high-level evidence in this population. The approach has evolved given the development of more effective screening modalities, including digital breast mammography, magnetic resonance imaging, and other emerging technologies. This review will discuss identification of high-risk patients, approaches to genetic counseling and testing, and evidence behind screening modalities and algorithms in this special population.breast cancer, genetic testing, high-risk, screening

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Comparative analysis of cone‐beam breast computed tomography and digital breast tomosynthesis for breast cancer diagnosis: A comprehensive study on reconstruction algorithms

Komolafe,

Tian,

Awoniya

et al. 2024

Int J Imaging Syst Tech

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Breast cancer (BC) is the most commonly diagnosed non‐skin cancer in women. To achieve early and accurate diagnosis, three‐dimensional (3D) cone‐beam breast computed tomography (CBBCT) and digital breast tomosynthesis (DBT) modalities are used. Importantly, the comparison of reconstruction accuracy of both CBBCT and DBT has rarely been investigated, thus constituting a research gap. This study systematically investigated the performances of the CBBCT and DBT for different reconstruction algorithms using both BR3D breast phantom and breast images. We acquired clinical breast images and scanned the BR3D phantom for additional breast images. These acquired images were used to simulate projection data using predefined CBBCT and DBT geometries. The simulated projections were reconstructed using five different reconstruction algorithms. To evaluate the reconstruction accuracy, we calculated average image quality assessment (IQA) indices, including peak signal‐to‐noise ratio (PSNR), structural similarity index (SSIM), root mean square error (RMSE), and others, across different algorithms and modalities. The pooled PSNR, SSIM, and RMSE for DBT and CBBCT images are (31.6265 ± 0.8725), (0.9353 ± 0.0077), and (0.0270 ± 0.0025) and (29.7007 ± 0.9249), (0.9136 ± 0.0130), and (0.0342 ± 0.0040), which implies that the overall IQA indices of DBT are superior to CBBCT; therefore, DBT tends to reveal more BC detectability as the diagnosis outcome would largely depend on good quality images. The results show that DBT gives an improved result for all algorithms compared to CBBCT, although further experimental trials may be needed to establish the findings fully. The findings suggest that using DBT may enhance the accuracy of BC diagnosis compared to CBBCT due to its superior image quality in clinical practice, emphasizing the importance of selecting optimal reconstruction algorithms for improved diagnostic outcomes.

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The utility of breast cone-beam computed tomography, ultrasound, and digital mammography for detecting malignant breast tumors: A prospective study with 212 patients

Cited by 62 publications

References 25 publications

Cone-beam Breast Computed Tomography: CT Density Does Not Reflect Proliferation Potential and Receptor Expression of Breast Carcinoma

Cone-beam Breast Computed Tomography: CT Density Does Not Reflect Proliferation Potential and Receptor Expression of Breast Carcinoma

Screening of populations at high risk for breast cancer

Comparative analysis of cone‐beam breast computed tomography and digital breast tomosynthesis for breast cancer diagnosis: A comprehensive study on reconstruction algorithms

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