جستجوی مقالات مرتبط با کلیدواژه "breast specific-gamma imaging" در نشریات گروه "پزشکی"
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Background
Mammography (MMG) and ultrasonography (US) have been used as standard imaging modalities for the diagnosis of breast cancer. However, several drawbacks have been attributed to these modalities. Breast-specific gamma imaging (BSGI), as a nuclear medicine imaging technique, has been introduced as a supplementary tool for diagnosing breast cancer.
ObjectivesThis study aimed to determine whether the addition of BSGI to MMG or US interpretations could improve the diagnostic accuracy and reduce the need for further examinations or unnecessary biopsies of breast lesions.
Patients and MethodsThis retrospective study was conducted on 548 patients with 638 breast lesions from February 2013 to December 2018. The performance of BSGI, MMG, and US was examined for identifying breast cancer and high-risk lesions. Subgroups were classified by adding the results of BSGI for BI-RADS 0 and 4a lesions on MMG and BI-RADS 4a lesions on US. The diagnostic performance of each subgroup was then compared. The sensitivity, specificity, positive predictive value, and negative predictive value were also calculated. The diagnostic accuracy was determined by measuring the area under the receiver operating characteristic curve (AUC). Besides, factors associated with false-positive and false-negative results of BSGI were extracted.
ResultsThe BSGI showed a sensitivity of 88.26% for breast cancer diagnosis, which was comparable to the sensitivity of MMG (87.95%) and lower than that of US (97.83%). The specificity and AUC of BSGI (81.62% and 0.85, respectively) were superior to those of MMG (66.83% and 0.77, respectively) and US (15.20% and 0.57, respectively). In the subgroup analysis of MMG, the sensitivity, positive predictive value, and AUC of MMG0+BSGI and MMG4a+BSGI increased significantly compared to MMG alone. In the MMG4a+BSGI group, the specificity also significantly increased. In the US subgroups, the specificity and AUC of US4a+BSGI increased significantly compared to US alone. Based on the results, a low Ki-67 index was associated with a false-negative result of BSGI.
ConclusionThe addition of BSGI to MMG or US could improve the diagnostic performance, especially for BI-RADS 0 and 4a lesions. Additionally, the concomitant use of BSGI with MMG or US might reduce the need for an additional examination or unnecessary biopsy.
Keywords: Breast Cancer, Mammography, Breast Ultrasonography, Breast-specific Gamma Imaging -
Introduction
The accuracy of positron emission tomography with computed tomography (PET/CT), positron emission mammography (PEM), and breast specific-gamma imaging (BSGI) in diagnosing breast cancer has never been systematically assessed, the present systematic review was aimed to address this issue.
MethodsPubMed, Scopus and EMBASE were searched for studies dealt with the detection of breast cancer by PET/CT, PEM or BSGI. Histopathologic examination and/or at least six months imaging follow-up were used as a golden reference. To calculate diagnostic test parameters: sensitivity, specificity, summary receiver operating characteristic curves (SROC) and to test for heterogeneity, true positive (TP), true negative (TN), false positive (FP) and false negative (FN) were extracted.
ResultsThirty one studies were included in the analysis. On per-patient basis, the pooled sensitivities after corrected for threshold effect for 18F-FDG PET/CT, PEM, and 99mTc-MIBI BSGI were 0.89 (95% CI: 0.78- 0.95), 0.73 (95% CI: 0.41 - 0.92), and 0.80 (95% CI: 0.72 - 0.86) respectively. The pooled specificities for detection of breast cancer using FDG PET/CT, PEM, and 99mTc-MIBI BSGI were 0.93 (95 % CI, 0.86 - 0.96), 0.91 (95 % CI, 0.77- 96), and 0.78 (95 % CI, 0.64 - 0.88), respectively. AUC of FDG PET/CT, PEM, and BSGI were 0.9549, 0.8852 and 0.8573, respectively.
ConclusionThis meta-analysis indicated that PET/CT showed better diagnostic accuracy than PEM, and BSGI on per-patient basis. On per-lesion analysis, PEM with the highest AUC, DOR and Q* was better than PET/CT, and BSGI for detecting breast cancer.
Keywords: Breast cancer, PET, CT, Positron emission mammography, Breast specific-gamma imaging, meta-analysis
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