Differentiation between Pure Mucinous Breast Carcinomas and Fibroadenomas with Strong High-Signal Intensity on T2-Weighted Images from Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Qu, Ningsong; Luo, Yukun; Yu, Tao; Yu, Huihui

doi:10.1159/000479955

Cited by 6 publications

(4 citation statements)

References 28 publications

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“…Therefore, any new lesion that arises in the breast post-menopausal, even if it looks like a fibroadenoma, should be biopsied. This study found that the maximum diameter of P-MC was significantly larger than that of FA, which was consistent with previous studies (10,27). According to the biological behavior of the tumor, malignant tumors increase rapidly in size, while benign tumors increase slowly or remain stable in size (24).…”

Section: Discussionsupporting

confidence: 93%

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An integrated radiomics nomogram based on conventional ultrasound improves discriminability between fibroadenoma and pure mucinous carcinoma in breast

Wang

Zha

et al. 2023

Front. Oncol.

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ObjectiveTo evaluate the ability of integrated radiomics nomogram based on ultrasound images to distinguish between breast fibroadenoma (FA) and pure mucinous carcinoma (P-MC).MethodsOne hundred seventy patients with FA or P-MC (120 in the training set and 50 in the test set) with definite pathological confirmation were retrospectively enrolled. Four hundred sixty-four radiomics features were extracted from conventional ultrasound (CUS) images, and radiomics score (Radscore) was constructed using the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm. Different models were developed by a support vector machine (SVM), and the diagnostic performance of the different models was assessed and validated. A comparison of the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) was performed to evaluate the incremental value of the different models.ResultsFinally, 11 radiomics features were selected, and then Radscore was developed based on them, which was higher in P-MC in both cohorts. In the test group, the clinic + CUS + radiomics (Clin + CUS + Radscore) model achieved a significantly higher area under the curve (AUC) value (AUC = 0.86, 95% CI, 0.733-0.942) when compared with the clinic + radiomics (Clin + Radscore) (AUC = 0.76, 95% CI, 0.618-0.869, P > 0.05), clinic + CUS (Clin + CUS) (AUC = 0.76, 95% CI, 0.618-0.869, P< 0.05), Clin (AUC = 0.74, 95% CI, 0.600-0.854, P< 0.05), and Radscore (AUC = 0.64, 95% CI, 0.492-0.771, P< 0.05) models, respectively. The calibration curve and DCA also suggested excellent clinical value of the combined nomogram.ConclusionThe combined Clin + CUS + Radscore model may help improve the differentiation of FA from P-MC.

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Section: Discussionsupporting

confidence: 93%

“…Due to different histopathologic characteristics and components, approximately 40% of FA is accompanied by myxoid or edematous changes ( 9 ), which makes it harder to distinguish from P-MC. P-MC and FA require different therapeutic approaches, so preoperative diagnosis is crucial ( 10 ).…”

Section: Introductionmentioning

confidence: 99%

An integrated radiomics nomogram based on conventional ultrasound improves discriminability between fibroadenoma and pure mucinous carcinoma in breast

Wang

Zha

et al. 2023

Front. Oncol.

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“…Photosensitizer-carrying nanoparticles could increase the water solubility of photosensitizer molecules, enhance their tumor accumulation, thus improving the therapeutic efficacy and specificity of PDT [ 14 , 15 ]. Over the past decade, nanoparticle-based PDT have shown great promise in treatment of cancer, including lung cancer [ 16 – 18 ], achieving encouraging therapeutic efficacies [ 19 , 20 ]. In addition, nanotechnology provides a platform for the integration of multiple functionalities in a single construct with effective targeting, achieving the purpose of tumor imaging and diagnosis and treatment [ 21 , 22 ]…”

Section: Introductionmentioning

confidence: 99%

Targeted nanobody complex enhanced photodynamic therapy for lung cancer by overcoming tumor microenvironment

Zhang

Liu

et al. 2020

Cancer Cell Int

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Background To investigate the efficacy of a PLGA-based nanobody complex in photodynamic therapy (PDT) and NIR-II imaging in A549 tumor hypoxic model. Method IR1048-MZ was firstly synthesized by conjugating a nitro imidazole group to IR1048. IR1048-MZ and Cat were then encapsulated in PLGA-SH solution. Anti-EGFR-Nanobody was also expressed and purified, and finally Anti-EGFR-Nanobody@PLGA-IR1048MZ-Cat (Nb@IC-NPs) nanobody complex was obtained based on the formation of desulfide bond between PLGA-SH and Anti-EGFR-Nanobody. Size distribution and morphology were characterized by TEM and DLS. Spectrum of Nb@IC-NPs towards NTR was measured by UV and fluorescence, while the particle’s selective response was studied using fluorescence. The uptake of Nb@IC-NPs in A549 cells was observed by flow cytometry and CLSM. In the meantime, its’ catalytic ability that decomposes H2O2 both extra-and intra-cellular was observed by fluorescence and CLSM. In vitro photodynamic toxicity of Nb@IC-NPs was examined by MTT, Live/Dead Cell Staining, Flow Cytometry and Apoptosis Assay. Tumor-bearing model was constructed to observe a semi-quantitative fluorescent distribution and the possibility of NIR-II fluorescence/photoacoustic (PA) imaging. Effect of Nb@IC-NPs on enhancing A549 tumor hypoxia and expression profile of HIF-1α was investigated in the presence of NIR. An A549 tumor metastasis model was also constructed to confirm the complex’ potential to destroy primary tumor, inhibit lung metastasis, and prolong mice’ survival. Lastly, impact of Nb@IC-NPs on mice’ main organs and blood indices was observed. Results Nb@IC-NPs was successfully fabricated with good homogeneity. The fluorescent absorbance of Nb@IC-NPs showed a linear relationship with the concentration of NTR, and a higher concentration of NTR corresponded to a stronger photoacoustic signal. In addition, Nb@IC-NPs showed a stable selectivity toward NTR. Our results also suggested a high efficient uptake of Nb@IC-NPs in A549 cells, which was more efficient than IC-NPs and IR1048-MZ alone. In vitro assays confirmed the effects of Nb@IC-NPs on catalytic O2 generation even in hypoxic cells. The cell viability was upregulated with the nanocomplex at the absence of the laser, whereas it was dramatically declined with laser treatment that excited at 980 nm. Nb@IC-NPs achieved tumor hypoxia NIR-II/PA imaging through assisting A549 gathering. When NIR was applied, Nb@IC-NPs can significantly relieve A549 cellular/tumor hypoxia by generating more reactive oxygen species (ROS), which in turn helps lower the expression level of HIF-1α. In summary, Nb@IC-NPs based PDT can efficiently decimate A549 primary tumor, inhibit metastatic lung cancer, and prolong the lifespan of the mice under tolerable dosage. At last, in vivo toxicity tests of the nanocomplex showed its biosafety to the main organs and normal blood indices values. Conclusion Nb@IC-NPs improves tumor hypoxia through catalytic reaction and lowers the expression level of HIF-1α. It achieves tumor PA imaging through intensified NIR-II fluorescence signal that caused by response of the complex to the lesion’s nitroreductase (NTR). Nb@IC-NPs based PDT can efficiently kill A549 primary tumor, inhibit a lung metastasis, as well as prolong mice’ survival cycle.

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“…Accurate detection and treatment usually lead to a positive outcome. Currently, various imaging examinations, such as mammograms, ultrasounds, and magnetic resonance imaging (MRI), have increased the incidental detection of breast tumors [5], [6]. In particular, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), which can compactly capture both anatomical and metabolic features, has been demonstrated as a great screening examination for those with a high risk of breast cancer [7].…”

Section: Introductionmentioning

confidence: 99%

Transfer Learning-Based DCE-MRI Method for Identifying Differentiation Between Benign and Malignant Breast Tumors

et al. 2020

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In this paper, we propose a transfer learning-based dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) method for classifying fibroadenoma and invasive ductal carcinoma (IDC) in breast tumors. A total of 207 breast tumors from patients were collected and identified by pathologic diagnosis within 15 days after enhanced DCE-MRI examination; 119 patients (average age 50.52±10.33 years) had fibroadenomas, and 88 patients (average age 42.20±10.10 years) had IDCs. Two lesion-level models were built based on the InceptionV3 and VGG19 models, which were pretrained with the ImageNet dataset. The effects of different depths of transfer learning were examined. The network's performance was evaluated through five-fold cross validation. In the lesion-level models, the model based on Inception V3 obtained better results (area under the receiver operating characteristic curve (AUC) = 0.89) when the weights were frozen before layer-276. The other model based on VGG19 obtained better results (AUC = 0.87) when the weights were frozen before layer-13. Compared with the image-level models, both lesion-level models displayed better discrimination (accuracy increased by 13% and 14%) based on the VGG19 and Inception V3 models, respectively. Our research confirms that transfer learning can be utilized to classify fibroadenomas and IDCs in DCE-MRI images. Different depths of transfer learning result in different performances, and our proposed lesion-level model notably improves the classification accuracy. INDEX TERMS Magnetic resonance imaging, invasive ductal carcinoma, fibroadenoma, transfer learning, lesion classification.

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Differentiation between Pure Mucinous Breast Carcinomas and Fibroadenomas with Strong High-Signal Intensity on T2-Weighted Images from Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Cited by 6 publications

References 28 publications

An integrated radiomics nomogram based on conventional ultrasound improves discriminability between fibroadenoma and pure mucinous carcinoma in breast

An integrated radiomics nomogram based on conventional ultrasound improves discriminability between fibroadenoma and pure mucinous carcinoma in breast

Targeted nanobody complex enhanced photodynamic therapy for lung cancer by overcoming tumor microenvironment

Transfer Learning-Based DCE-MRI Method for Identifying Differentiation Between Benign and Malignant Breast Tumors

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