Libros sobre el tema "Diagnostic and prognostic marker"

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1

Diagnostic and prognostic biomarkers and therapeutic targets in melanoma. Totowa, N.J: Humana, 2012.

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2

Russo, Antonio, Stefano Iacobelli y Juan Iovanna, eds. Diagnostic, Prognostic and Therapeutic Value of Gene Signatures. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-358-5.

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3

Nieto, Mark E. Naval aviation aging wiring: Prognostic and diagnostic solutions. Monterey, Calif: Naval Postgraduate School, 2000.

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4

Hughes, Mark D. Point-of-care testing: Status and prognosis. Waltham, MA: Decision Resources, 1996.

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5

Murphy, Michael J., ed. Diagnostic and Prognostic Biomarkers and Therapeutic Targets in Melanoma. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-60761-433-3.

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6

K, Pantel, ed. Minimal residual epithelial cancer: Diagnostic approaches and prognostic relevance. Stuttgart: Gustav Fischer Verlag, 1996.

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7

Jemeï, Samir. Hybridization, Diagnostic and Prognostic of Proton Exchange Membrane Fuel Cells. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119563426.

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8

CNS cancer: Models, markers, prognostic factors, targets, and therapeutic approaches. Central nervous system cancer: Humana Press, 2009.

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9

The clinical marker hCG. New York: Praeger, 1987.

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10

Sevelius, Ewa. Chronic liver disease in the dog: A demographic, aetiologic, diagnostic and prognostic study. Uppsala: Sveriges Lantbruksuniversitet, 1995.

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11

Giampietro, Gasparini y Hayes Daniel 1951-, eds. Biomarkers in breast cancer: Molecular diagnostics for predicting and monitoring therapeutic effect. Totowa, N.J: Humana Press, 2006.

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12

Cerullo, Dante. Identification of a novel diagnostic marker for viral myocarditis using cDNA microarrays. Ottawa: National Library of Canada, 2003.

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13

1928-, Ehrlich George E. y Gallacchi G, eds. The elderly rheumatic patient: Diagnostic, prognostic, and therapeutic aspects : report of a symposium held during the XIth European Congress of Rheumatology, Athens, 1987. Toronto: Huber, 1989.

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14

M, Gratzl y Langley Keith, eds. Markers for neural and endocrine cells: Molecular and cell biology, diagnostic applications. Weinheim (Federal Republic of Germany): VCH, 1990.

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15

Mouriquand, Jacqueline. Diagnosis of non-palpable breast lesions: Ultrasonographically controlled fine-needle aspiration : diagnostic and prognostic implications of cytologic grading, morphometry, DNA cytometry, immunocytochemistry, and color doppler. Basel: Karger, 1993.

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16

Mouriquand, Jacqueline. Diagnosis of non-palpable breast lesions: Ultrasonographically controlled fine-needle aspirations : diagnostic and prognostic implications of cytologic grading, morphometry, DNA cytometry, immunocytochemistry, and color doppler. Basel: Karger, 1993.

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17

Kim, Ho-jung. array-CGH rŭl iyong han piso sepʻo pʻyeam ŭi chogi chaebal pʻyojija mit chindan mohyŏng kaebal =: Development of early-recurrence detection marker and diagnostic model using array-CGH in NSCLC. [Seoul]: Pogŏn Pokchibu, 2007.

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18

Diagnostic, Prognostic and Predictive Biological Markers in Bladder Cancer – Illumination of a Vision. MDPI, 2019. http://dx.doi.org/10.3390/books978-3-03897-635-6.

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19

Diagnostic, Prognostic and Predictive Biological Markers in Bladder Cancer – Illumination of a Vision 2.0. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-03943-686-6.

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20

Sholl, Lynette. Molecular Pathology: Predictive, Prognostic, and Diagnostic Markers in Tumors, an Issue of Surgical Pathology Clinics. Elsevier - Health Sciences Division, 2016.

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21

Freedman, Mark S. y Mohammad Abdoli. The Importance and Utility of Cerebrospinal Fluid Evaluation in the Diagnosis of Central Demyelinating Diseases. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199341016.003.0008.

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This chapter aims to highlight the diagnostic and prognostic value of cerebrospinal fluid (CSF) findings in multiple sclerosis with a special consideration of distinguishing it from neuromyelitis optica (NMO) and NMO spectrum disorder. Interpretation of CSF findings in daily clinical practice in patients with MS is thoroughly explained. New advances in CSF analysis and recently identified biomarkers may be helpful for diagnosis, help elucidate disease subtype and activity, or aid in prognosis and monitoring of the response to treatment. Characteristics of CSF changes in different subtypes of multiple sclerosis, clinically isolated syndrome (CIS), and radiologically isolated syndrome (RIS) are discussed. CSF findings in NMO spectrum disease as a diagnostic and differentiating marker are explained separately.
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22

(Contributor), A. Burkhardt, J. K. Field (Contributor), N. W. Johnson (Contributor), R.C.K. Jordan (Contributor), P. A. Reichart (Contributor), A.G.M. Scholes (Contributor), C. Scully (Contributor) et al., eds. Oral Pathology: Actual Diagnostic and Prognostic & Prognostic Aspects. Springer, 1996.

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23

GOHEL, Hardik. CEA - Prognostic Marker for Breast Cancer. Independently Published, 2019.

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24

Biomarkers In Oncology Prediction And Prognosis. Springer, 2012.

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25

Jin, J. P. Troponin: Informative Diagnostic Marker. Nova Science Publishers, Incorporated, 2014.

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26

Sharma, Rohan, Amitha M. Hegde y Rajmohan Shetty. Prognostic and diagnostic potential of cephalometrics. LAP Lambert Academic Publishing, 2018.

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27

Prognostic Markers in Hematologic Oncology. Informa Healthcare, 2005.

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28

Seifert, Gerhard, N. W. Johnson, A. Burkhardt, J. K. Field y R. C. K. Jordan. Oral Pathology: Actual Diagnostic and Prognostic Aspects. Springer London, Limited, 2012.

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29

Oral pathology: Actual diagnostic and prognostic aspects. Berlin: Springer, 1996.

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30

Oral Pathology Actual Diagnostic And Prognostic Aspects. Springer, 2012.

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31

Knickerbocker, Tanya Lynn. Protein microarrays as diagnostic and prognostic tools. 2009.

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32

Diagnostic, Prognostic and Predictive Biomarkers in Prostate Cancer. MDPI, 2017. http://dx.doi.org/10.3390/books978-3-03842-633-2.

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33

Ehrlich, George E. Elderly Rheumatic Patient: Diagnostic, Prognostic and Therapeutic Aspects. Hogrefe & Huber Publishers, 1989.

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34

Troup, Francis. Sputum, Its Microscopy and Diagnostic and Prognostic Significations. Creative Media Partners, LLC, 2018.

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35

Naval Aviation Aging Wiring: Prognostic and Diagnostic Solutions. Storming Media, 2000.

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36

Stephan, Carsten. Diagnostic, Prognostic and Predictive Biomarkers in Prostate Cancer. Mdpi AG, 2018.

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37

Russo, Antonio, Juan Iovanna y Stefano Iacobelli. Diagnostic, Prognostic and Therapeutic Value of Gene Signatures. Humana Press, 2011.

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38

Russo, Antonio, Juan Iovanna y Stefano Iacobelli. Diagnostic, Prognostic and Therapeutic Value of Gene Signatures. Humana Press, 2011.

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39

Russo, Antonio, Juan Iovanna y Stefano Iacobelli. Diagnostic, Prognostic and Therapeutic Value of Gene Signatures. Humana Press, 2016.

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40

Gakis, Georgios y Arnulf Stenzl. Molekulare Marker beim high-grade Harnblasenkarzinom: Diagnostisch - prognostisch - prädiktiv. Springer, 2016.

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41

Ehrlich, George. The Elderly Rheumatic Patient: Diagnostic, Prognostic, and Therapeutic Aspects. Hans Huber Pub, 1989.

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42

J, Murphy Michael. Diagnostic and Prognostic Biomarkers and Therapeutic Targets in Melanoma. Springer, 2011.

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43

J, Murphy Michael. Diagnostic and Prognostic Biomarkers and Therapeutic Targets in Melanoma. Springer, 2011.

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44

J, Murphy Michael. Diagnostic and Prognostic Biomarkers and Therapeutic Targets in Melanoma. Humana, 2016.

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45

Pierard, Luc A. y Lauro Cortigiani. Stress echocardiography: diagnostic and prognostic values and specific clinical subsets. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0015.

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Stress echocardiography is a widely used method for assessing coronary artery disease, due to its high diagnostic and prognostic value. While inducible ischaemia predicts an unfavourable outcome, its absence is associated with a low risk of future cardiac events. The method provides superior diagnostic and prognostic information than standard exercise electrocardiography and perfusion myocardial imaging in specific clinical subsets, such as women, hypertensive patients, and patients with left bundle branch block. Stress echocardiography allows effective risk assessment also in the diabetic population. The evaluation of coronary flow reserve of the left anterior descending artery by transthoracic Doppler adds diagnostic and prognostic information to that of standard stress test. Stress echocardiography is indicated in the cases when exercise electrocardiography is unfeasible, uninterpretable or gives ambiguous result, and when ischaemia during the test is frequently a false-positive response, as in hypertensive patients, women, and patients with left ventricular hypertrophy. Viability detection represents another application of stress echocardiography. The documentation of a large amount of viable myocardium predicts improved ejection fraction, reverse remodelling, and improved outcome following revascularization in patients with ischaemic cardiomyopathy. Moreover, stress echocardiography can aid significantly in clinical decision-making in patients with valvular heart disease through dynamic assessment of primary or secondary mitral regurgitation, transvalvular gradients, and pulmonary artery systolic pressure, as well as before vascular surgery due to the excellent negative predictive value. Finally, stress echocardiography allows effective risk stratification in patients with hypertrophic cardiomyopathy through evaluation of inducible ischaemia, coronary flow reserve, and intraventricular gradient.
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46

Biomarkers in breast cancer: Molecular diagnostics for predicting and monitoring therapeutic effect. Totowa, N.J: Humana Press, 2006.

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47

Verma, Mukesh, Debmalya Barh, Angelo Carpi y Mehmet Gunduz. Cancer Biomarkers: Minimal and Noninvasive Early Diagnosis and Prognosis. Taylor & Francis Group, 2014.

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48

Barh, Debmalya. Cancer Biomarkers: Minimal and Noninvasive Early Diagnosis and Prognosis. Taylor & Francis Group, 2014.

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49

Verma, Mukesh, Debmalya Barh, Angelo Carpi y Mehmet Gunduz. Cancer Biomarkers: Minimal and Noninvasive Early Diagnosis and Prognosis. Taylor & Francis Group, 2017.

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50

Verma, Mukesh, Debmalya Barh, Angelo Carpi y Mehmet Gunduz. Cancer Biomarkers: Minimal and Noninvasive Early Diagnosis and Prognosis. Taylor & Francis Group, 2014.

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