PLASMA AND TISSUEMICRORNA PATTERNS DISCRIMINATE MALIGNANCY IN PATIENTSWITH BENIGN OVARIAN MASSES: ENRICHMENTANALYSIS OF GENETIC PATHWAYS

Shapira Iuliana; Parameswaran Janaki; Oswald Michaela; Lee Annette

首页> 外文期刊>Journal of investigative medicine >PLASMA AND TISSUEMICRORNA PATTERNS DISCRIMINATE MALIGNANCY IN PATIENTSWITH BENIGN OVARIAN MASSES: ENRICHMENTANALYSIS OF GENETIC PATHWAYS

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PLASMA AND TISSUEMICRORNA PATTERNS DISCRIMINATE MALIGNANCY IN PATIENTSWITH BENIGN OVARIAN MASSES: ENRICHMENTANALYSIS OF GENETIC PATHWAYS

机译：血浆和组织中的微RNA模式可鉴别卵巢良性肿瘤患者的恶性行为：遗传途径的富集分析

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来源
《Journal of investigative medicine》 |2015年第3期|共1页
作者
Shapira Iuliana; Parameswaran Janaki; Oswald Michaela; Lee Annette;
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正文语种 eng
中图分类诊断学;
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1. PLASMA AND TISSUEMICRORNA PATTERNS DISCRIMINATE MALIGNANCY IN PATIENTSWITH BENIGN OVARIAN MASSES: ENRICHMENTANALYSIS OF GENETIC PATHWAYS [J] . Shapira Iuliana, Parameswaran Janaki, Oswald Michaela, Journal of investigative medicine . 2015,第3期

机译：血浆和组织中的微RNA模式可鉴别卵巢良性肿瘤患者的恶性行为：遗传途径的富集分析
2. Subjective assessment by ultrasound is superior to the risk of malignancy index (RMI) or the risk of ovarian malignancy algorithm (ROMA) in discriminating benign from malignant adnexal masses [J] . VanGorpT., VeldmanJ., VanCalsterB., European journal of cancer: official journal for European Organization for Research and Treatment of Cancer (EORTC) [and] European Association for Cancer Research (EACR) . 2012,第11期

机译：超声的主观评估优于恶性指数（RMI）或卵巢恶性算法（ROMA），可将恶性附件包块与良性区分开
3. Mathematical models to discriminate between benign and malignant adnexal masses: potential diagnostic improvement using ovarian HistoScanning. [J] . Vaes E, Manchanda R, Nir R, International journal of gynecological cancer: official journal of the International Gynecological Cancer Society . 2011,第1期

机译：区分良性和恶性附件包块的数学模型：使用卵巢HistoScanning的潜在诊断改进。
4. Classification of benign and malignant masses in mammograms using multi-resolution analysis of oriented patterns [C] . Midya Abhishek, Chakraborty Jayasree IEEE International Symposium on Biomedical Imaging . 2015

机译：使用定向模式的多分辨率分析对乳房X线照片中的良恶性肿块进行分类
5. Novel targeted deregulation of apoptotic and oncogenic pathways leads to B -lymphoid malignancies in genetically engineered mice [D] . Linden, Michael Andrew 2004

机译：凋亡和致癌途径的新型靶向去调控导致基因工程小鼠中的B淋巴恶性肿瘤
6. Comparison of Risk of Ovarian Malignancy Algorithm and cancer antigen 125 to discriminate between benign ovarian tumor and early-stage ovarian cancer according to imaging tumor subtypes [O] . Young-Jae Lee, Yong-Man Kim, Ji-Sik Kang, -1

机译：卵巢恶性算法和癌症抗原125根据成像肿瘤亚型区分良性卵巢肿瘤和早期卵巢癌的风险比较
7. Mathematical models to discriminate between benign and malignant adnexal masses: Potential diagnostic improvement using ovarian histoscanning [O] . Vaes Evelien, Manchanda Ranjit, Nir Rina, 2011

机译：区分良性和恶性附件包块的数学模型：使用卵巢组织扫描的潜在诊断改进
8. Pathways to Understanding Ovarian Cancer, Epidemiology, Genetic Susceptibility, and Survival [R] . Terry, K. L. 2011

机译：了解卵巢癌，流行病学，遗传易感性和生存的途径

PLASMA AND TISSUEMICRORNA PATTERNS DISCRIMINATE MALIGNANCY IN PATIENTSWITH BENIGN OVARIAN MASSES: ENRICHMENTANALYSIS OF GENETIC PATHWAYS

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