Anwendung von Gd-DTPA bei der kernspintomographischen Untersuchung der Mamma

Heywang, Sylvia H.; Fenzl, G.; Beck, Rainer; Hahn, Dietbert; Eiermann, W.; Permanetter, W; Lissner, J

doi:10.1055/s-2008-1048990

Cited by 16 publications

(5 citation statements)

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“…First experiences with MRI in the 1970s did not render further information in the detection and characterization of breast tumors. The application of paramagnetic contrast material allowed visualization of hypervascularized lesions [11,12]. By using gradient-echo sequences and dynamic measurement protocols a high sensitivity for breast cancer was achieved.…”

Section: Discussionmentioning

confidence: 99%

Classification of hypervascularized lesions in CE MR imaging of the breast

et al. 2002

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The purpose of this paper is to define and evaluate a classification category for contrast-enhanced (CE) MR imaging of the breast based on the BI-RADS mammographic categories of the American College of Radiology. Using five evaluation criteria for MR findings (initial signal increase, post-initial signal behavior, shape, border, and contrast material distribution within enhancing tumors) 522 patients (1031 breasts) were analyzed. Scores were given from 0 to 8 points and classified into five categories (group I: 0 points, negative; group II: 1-2 points, benign; group III: 3 points, probably benign; group IV: 4-5 points, suspicious abnormality; group V: 6-8 points, highly suspicious for malignancy) to 265 focal hypervascularized breast lesions in 244 breasts (patient group A). These findings were correlated with histology or follow-up. Additionally, this classification was correlated to the contrast medium uptake within the parenchyma of the remaining 787 breasts without any focal lesion (patient group B). Two hundred sixty-five hypervascularized lesions in 238 patients (244 breasts, patient group A) were classified into group I: 0%; group II: 27.3%; group III: 22.3%; group IV: 18.6%; and group V: 31.8%. Histology revealed 115 benign and 134 malignant tumors in these groups. Sixteen benign lesions were controlled by follow-up. Sensitivity for the detection of malignancy using the presented multifactorial MRM classification was 92%, and specificity was 92%. Excluding cases of ductal carcinoma in situ specificity increased to 95%. Seven hundred eighty-seven breasts without any focal hypervascularized lesion (patient group B) were classified into groups I or II. Follow-up ( n=771) or histology ( n=14) confirmed the diagnosis in 785 of these breasts. Histopathology revealed, however, malignant tumors in the remaining two cases. The classification of lesions based on a multifactorial analysis is very helpful in the interpretation of CE MRI of the breast. The evaluation of all diagnostic imaging modalities, however, is essential in determining the correct diagnosis and/or in deciding on the appropriate therapeutic procedure.

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Section: Discussionmentioning

confidence: 99%

Classification of hypervascularized lesions in CE MR imaging of the breast

et al. 2002

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“…Furthermore, we used Zsummary to evaluate the functional module preservation [11]. Zsummary is comprised of four statistics related to density and three connectivityrelated statistics, and it was created to quantitatively assess whether the density and connectivity patterns of modules defined in a reference dataset are preserved in a test dataset.…”

Section: Differential Expression Analysismentioning

confidence: 99%

Identification of Key Functional Modules and Immunomodulatory Regulators of Hepatocellular Carcinoma

Luo

Zhang

et al. 2021

Journal of Immunology Research

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Despite the advances in the treatment of hepatocellular carcinoma (HCC), the prognosis of HCC patients remains unsatisfactory due to postsurgical recurrence and treatment resistance. Therefore, it is important to reveal the mechanisms underlying HCC and identify potential therapeutic targets against HCC, which could facilitate the development of novel therapies. Based on 12 HCC samples and 12 paired paracancerous normal tissues, we identified differentially expressed mRNAs and lncRNAs using the “limma” package in R software. Moreover, we used the weighted gene coexpression network analysis (WGCNA) to analyze the expression data and screened hub genes. Furthermore, we performed pathway enrichment analysis based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. In addition, the relative abundance of a given gene set was estimated by single-sample Gene Set Enrichment Analysis. We identified 687 differentially expressed mRNAs and 260 differentially expressed lncRNAs. A total of 6 modules were revealed by WGCNA, and MT1M and MT1E genes from the red module were identified as hub genes. Moreover, pathway analysis revealed the top 10 enriched KEGG pathways of upregulated or downregulated genes. Additionally, we also found that CD58 might act as an immune checkpoint gene in HCC via PD1/CTLA4 pathways and regulate the levels of tumor-infiltrating immune cells in HCC tissues, which might be an immunotherapeutic target in HCC. Our research identified key functional modules and immunomodulatory regulators for HCC, which might offer novel diagnostic biomarkers and/or therapeutic targets for cancer immunotherapy.

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“…Reports of the ability to differentiate carcinoma from benign tissue with CE-MRI came first from Germany by Heywang et al [47,48] in 1986, who used a spin echo T1-weighted sequence before and after the administration of intravenous Gd-DTPA, with an imaging time of approximately five minutes and a slice thickness of 5 mm. With the development of fast T1-weighted gradient echo pulse sequences, ªdynamicº MR whole breast imaging became feasible.…”

Section: Static High Resolution Imagingmentioning

confidence: 99%

Contrast-enhanced breast MRI: factors affecting sensitivity and specificity

Piccoli

1997

Eur Radiol

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Contrast-enhanced MRI (CE-MRI) of the breast has been investigated for over 10 years. The reports of sensitivity for cancer detection have generally been greater than 90 %. However, estimates of specificity have varied greatly. Differing results are due to differences in study populations, technical methods and criteria for interpretation. Early and marked signal rise, detected using dynamic imaging technique following contrast administration, is the MRI hallmark of cancer. However, some malignant lesions may enhance slowly or minimally, and a variety of benign lesions may enhance rapidly with marked signal intensity. High resolution techniques generally requiring longer acquisition times are more likely to depict the slowly enhancing malignancies at the cost of a decrease in specificity due to lack of temporal resolution. This disadvantage may be offset by the improved visualization of lesion morphology with high resolution images. This report reviews the methods and results of the leading investigators of breast MRI.

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Anwendung von Gd-DTPA bei der kernspintomographischen Untersuchung der Mamma

Cited by 16 publications

References 0 publications

Classification of hypervascularized lesions in CE MR imaging of the breast

Classification of hypervascularized lesions in CE MR imaging of the breast

Identification of Key Functional Modules and Immunomodulatory Regulators of Hepatocellular Carcinoma

Contrast-enhanced breast MRI: factors affecting sensitivity and specificity

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