Limits...
Retrospective and comparative analysis of (99m)Tc-Sestamibi breast specific gamma imaging versus mammography, ultrasound, and magnetic resonance imaging for the detection of breast cancer in Chinese women.

Yu X, Hu G, Zhang Z, Qiu F, Shao X, Wang X, Zhan H, Chen Y, Deng Y, Huang J - BMC Cancer (2016)

Bottom Line: We investigated the sensitivity and specificity of each method of detection and compared the biological profiles of the four imaging methods.The sensitivity of BSGI was 80.35 and 82.14 % by US, 75.6 % by MMG, and 94.06 % by MRI.Furthermore, the breast cancer diagnosis specificity of BSGI was high (83.19 % vs. 77.31 % vs. 66.39 % vs. 67.69 %, respectively).

View Article: PubMed Central - PubMed

Affiliation: Department of Surgical Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China.

ABSTRACT

Background: Diagnosing breast cancer during the early stage may be helpful for decreasing cancer-related mortality. In Western developed countries, mammographies have been the gold standard for breast cancer detection. However, Chinese women usually have denser and smaller-sized breasts compared to Caucasian women, which decreases the diagnostic accuracy of mammography. However, breast specific gamma imaging, a type of molecular functional breast imaging, has been used for the accurate diagnosis of breast cancer and is not influenced by breast density. Our objective was to analyze the breast specific gamma imaging (BSGI) diagnostic value for Chinese women.

Methods: During a 2-year period, 357 women were diagnosed and treated at our oncology department and received BSGI in addition to mammography (MMG), ultrasound (US) and magnetic resonance imaging (MRI) for diagnostic assessment. We investigated the sensitivity and specificity of each method of detection and compared the biological profiles of the four imaging methods.

Results: A total of 357 women received a final surgical pathology diagnosis, with 168 malignant diseases (58.5 %) and 119 benign diseases (41.5 %). Of these, 166 underwent the four imaging tests preoperatively. The sensitivity of BSGI was 80.35 and 82.14 % by US, 75.6 % by MMG, and 94.06 % by MRI. Furthermore, the breast cancer diagnosis specificity of BSGI was high (83.19 % vs. 77.31 % vs. 66.39 % vs. 67.69 %, respectively). The BSGI diagnostic sensitivity for mammographic breast density in women was superior to mammography and more sensitive for non-luminal A subtypes (luminal A vs. non-luminal A, 68.63 % vs. 88.30 %).

Conclusions: BSGI may help improve the ability to diagnose early stage breast cancer for Chinese women, particularly for ductal carcinoma in situ (DCIS), mammographic breast density and non-luminal A breast cancer.

No MeSH data available.


Related in: MedlinePlus

a ROC analysis for determining cut-off value of TNR in detection of breast cancer. b TNR of BSGI distribution in breast malignant and benign disease. c Sensitivity of BSGI, US, MMG and MRI for detecting breast cancer. d Sensitivity of BSGI, US, MMG and MRI for detecting DCIS
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License 1 - License 2
getmorefigures.php?uid=PMC4940883&req=5

Fig2: a ROC analysis for determining cut-off value of TNR in detection of breast cancer. b TNR of BSGI distribution in breast malignant and benign disease. c Sensitivity of BSGI, US, MMG and MRI for detecting breast cancer. d Sensitivity of BSGI, US, MMG and MRI for detecting DCIS

Mentions: The cut-off value for TNR by sensitivity (Se), specificity (Sp) and Youden’s index (YI) analyses was 1.82 (Se:81.63 %, Sp:80.00 %, YI:61.63 %) (Fig. 2a). Our data also showed a statistically valid correlation for TNR between malignant breast diseases and benign diseases (p < 0.05). The mean TNR for the malignant group was 2.61 (95%CI 2.42–2.80), and for the benign group, the mean TNR was 1.41 (95 % CI 1.33–1.50) (Fig. 2b).Fig. 2


Retrospective and comparative analysis of (99m)Tc-Sestamibi breast specific gamma imaging versus mammography, ultrasound, and magnetic resonance imaging for the detection of breast cancer in Chinese women.

Yu X, Hu G, Zhang Z, Qiu F, Shao X, Wang X, Zhan H, Chen Y, Deng Y, Huang J - BMC Cancer (2016)

a ROC analysis for determining cut-off value of TNR in detection of breast cancer. b TNR of BSGI distribution in breast malignant and benign disease. c Sensitivity of BSGI, US, MMG and MRI for detecting breast cancer. d Sensitivity of BSGI, US, MMG and MRI for detecting DCIS
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4940883&req=5

Fig2: a ROC analysis for determining cut-off value of TNR in detection of breast cancer. b TNR of BSGI distribution in breast malignant and benign disease. c Sensitivity of BSGI, US, MMG and MRI for detecting breast cancer. d Sensitivity of BSGI, US, MMG and MRI for detecting DCIS
Mentions: The cut-off value for TNR by sensitivity (Se), specificity (Sp) and Youden’s index (YI) analyses was 1.82 (Se:81.63 %, Sp:80.00 %, YI:61.63 %) (Fig. 2a). Our data also showed a statistically valid correlation for TNR between malignant breast diseases and benign diseases (p < 0.05). The mean TNR for the malignant group was 2.61 (95%CI 2.42–2.80), and for the benign group, the mean TNR was 1.41 (95 % CI 1.33–1.50) (Fig. 2b).Fig. 2

Bottom Line: We investigated the sensitivity and specificity of each method of detection and compared the biological profiles of the four imaging methods.The sensitivity of BSGI was 80.35 and 82.14 % by US, 75.6 % by MMG, and 94.06 % by MRI.Furthermore, the breast cancer diagnosis specificity of BSGI was high (83.19 % vs. 77.31 % vs. 66.39 % vs. 67.69 %, respectively).

View Article: PubMed Central - PubMed

Affiliation: Department of Surgical Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, China.

ABSTRACT

Background: Diagnosing breast cancer during the early stage may be helpful for decreasing cancer-related mortality. In Western developed countries, mammographies have been the gold standard for breast cancer detection. However, Chinese women usually have denser and smaller-sized breasts compared to Caucasian women, which decreases the diagnostic accuracy of mammography. However, breast specific gamma imaging, a type of molecular functional breast imaging, has been used for the accurate diagnosis of breast cancer and is not influenced by breast density. Our objective was to analyze the breast specific gamma imaging (BSGI) diagnostic value for Chinese women.

Methods: During a 2-year period, 357 women were diagnosed and treated at our oncology department and received BSGI in addition to mammography (MMG), ultrasound (US) and magnetic resonance imaging (MRI) for diagnostic assessment. We investigated the sensitivity and specificity of each method of detection and compared the biological profiles of the four imaging methods.

Results: A total of 357 women received a final surgical pathology diagnosis, with 168 malignant diseases (58.5 %) and 119 benign diseases (41.5 %). Of these, 166 underwent the four imaging tests preoperatively. The sensitivity of BSGI was 80.35 and 82.14 % by US, 75.6 % by MMG, and 94.06 % by MRI. Furthermore, the breast cancer diagnosis specificity of BSGI was high (83.19 % vs. 77.31 % vs. 66.39 % vs. 67.69 %, respectively). The BSGI diagnostic sensitivity for mammographic breast density in women was superior to mammography and more sensitive for non-luminal A subtypes (luminal A vs. non-luminal A, 68.63 % vs. 88.30 %).

Conclusions: BSGI may help improve the ability to diagnose early stage breast cancer for Chinese women, particularly for ductal carcinoma in situ (DCIS), mammographic breast density and non-luminal A breast cancer.

No MeSH data available.


Related in: MedlinePlus