Imaging biomarker roadmap for cancer studies
暂无分享,去创建一个
Stuart A. Taylor | Erich P Huang | J. Wason | M. Brady | P. Lambin | R. Boellaard | M. Lythgoe | V. Goh | R. Gillies | T. Yankeelov | L. Clarke | D. Hawkes | A. Harris | G. Parker | H. Aerts | D. Lacombe | M. V. van Herk | F. Gilbert | T. Chenevert | G. Jayson | Ting-Yim Lee | F. Gallagher | P. Tofts | Jason S. Lewis | B. Hutton | J. Griffiths | A. Pathak | L. McShane | O. Hoekstra | L. Shankar | Yan Liu | R. Maxwell | A. Padhani | D. Koh | S. Punwani | K. Miles | J. Waterton | C. Faivre-Finn | E. Jackson | Gina Brown | G. Cook | K. Brindle | J. Evelhoch | M. Leach | D. Buckley | Andrew P Jones | A. Groves | D. Sullivan | S. Walker-Samuel | S. Robinson | P. Workman | N. deSouza | Daniel C. Sullivan | Ricky A. Sharma | S. Barrington | S. Halligan | J. Dickson | M. Partridge | K. Williams | C. Dive | A. Reynolds | E. Aboagye | S. Stroobants | N. Lassau | A. Beer | A. Jackson | G. Tozer | J. O'Connor | Judith E. Adams | S. Bohndiek | S. Collette | E. Leen | P. Manoharan | B. Morgan | S. Morris | T. Ng | A. Peet | D. Soloviev | Andrew R Reynolds | J. Adams | S. Taylor | G. Brown | J. O’Connor | Andrew P. Jones | Adrian L. Harris | Paul Workman | Jason S. Lewis | Alan Jackson | Nathalie Lassau | Ross J. Maxwell | John R. Griffiths | E. Leen | Tony Ng | Ting-Yim Lee | Andrew C. Peet | Geoffrey J. M. Parker | Kenneth A. Miles | James Wason | Steve Halligan | N M deSouza | D-M. Koh | Otto S. Hoekstra | P. S. Tofts | S. Punwani | James P. B. O’Connor | E. O. Aboagye | J. E. Adams | H. J. W. L. Aerts | S. F. Barrington | A. J. Beer | R. Boellaard | Sarah E. Bohndiek | Michael Brady | Gina Brown | David L. Buckley | Laurence P. Clarke | Sandra Collette | Gary J. Cook | John C Dickson | Corinne Faivre-Finn | Fiona J. Gilbert | Robert J. Gillies | Vicky Goh | Ashley M. Groves | D. J. Hawkes | Erich P. Huang | Brian F. Hutton | Edward F. Jackson | Gordon C. Jayson | Andrew Jones | Denis Lacombe | Philippe Lambin | Martin O. Leach | Jason S. Lewis | Yan Liu | Prakash Manoharan | Bruno Morgan | Steve Morris | Mike Partridge | Andrew R. Reynolds | Simon P. Robinson | Ricky A. Sharma | Stuart A. Taylor | Gillian M. Tozer | Marcel van Herk | Kaye J. Williams | Kevin M. Brindle | Lisa McShane
[1] A. Redfors,et al. From black and white to shades of grey , 2017 .
[2] L. Marks,et al. Breast cancer therapy-associated cardiovascular disease , 2016, Nature Reviews Clinical Oncology.
[3] Geoff J M Parker,et al. Oxygen-Enhanced MRI Accurately Identifies, Quantifies, and Maps Tumor Hypoxia in Preclinical Cancer Models. , 2016, Cancer research.
[4] Paul Kinahan,et al. Quantitative Imaging in Cancer Clinical Trials , 2016, Clinical Cancer Research.
[5] Paul Kinahan,et al. Radiomics: Images Are More than Pictures, They Are Data , 2015, Radiology.
[6] David Moher,et al. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies , 2015, BMJ : British Medical Journal.
[7] Erich P Huang,et al. Metrology Standards for Quantitative Imaging Biomarkers. , 2015, Radiology.
[8] J. Wason,et al. A Bayesian adaptive design for biomarker trials with linked treatments , 2015, British Journal of Cancer.
[9] M. Lawler,et al. Changing the Paradigm—Multistage Multiarm Randomized Trials and Stratified Cancer Medicine. , 2015, The oncologist.
[10] Wei Wei,et al. Dependence of DCE-MRI biomarker values on analysis algorithm , 2015, PloS one.
[11] J. Wason,et al. Prospective study evaluating the relative sensitivity of 18F-NaF PET/CT for detecting skeletal metastases from renal cell carcinoma in comparison to multidetector CT and 99mTc-MDP bone scintigraphy, using an adaptive trial design , 2015, Annals of oncology : official journal of the European Society for Medical Oncology.
[12] Emanuele Neri,et al. ESR Position Paper on Imaging Biobanks , 2015, Insights into Imaging.
[13] Ting-Yim Lee,et al. CT perfusion as an early biomarker of treatment efficacy in advanced ovarian cancer: An ECOG-ACRIN and NRG GOG study. , 2015 .
[14] Daniel F Hayes,et al. Biomarker validation and testing , 2015, Molecular oncology.
[15] Gina Brown,et al. The prognostic significance of postchemoradiotherapy high-resolution MRI and histopathology detected extramural venous invasion in rectal cancer. , 2015, Annals of surgery.
[16] Erich P Huang,et al. Meta-analysis of the technical performance of an imaging procedure: Guidelines and statistical methodology , 2015, Statistical methods in medical research.
[17] H. Barnhart,et al. The emerging science of quantitative imaging biomarkers terminology and definitions for scientific studies and regulatory submissions , 2015, Statistical methods in medical research.
[18] European Society of Radiology. ESR Position Paper on Imaging Biobanks , 2015 .
[19] M. de Jong,et al. Biomarkers in preclinical cancer imaging , 2015, European Journal of Nuclear Medicine and Molecular Imaging.
[20] Eric J. W. Visser,et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0 , 2014, European Journal of Nuclear Medicine and Molecular Imaging.
[21] G. Parker,et al. Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome , 2014, Clinical Cancer Research.
[22] J. Ware,et al. First-in-Human Phase I Study of Pictilisib (GDC-0941), a Potent Pan–Class I Phosphatidylinositol-3-Kinase (PI3K) Inhibitor, in Patients with Advanced Solid Tumors , 2014, Clinical Cancer Research.
[23] Nathalie Lassau,et al. Validation of Dynamic Contrast-Enhanced Ultrasound in Predicting Outcomes of Antiangiogenic Therapy for Solid Tumors , 2014, Investigative radiology.
[24] M. Cerqueira,et al. Expert consensus for multimodality imaging evaluation of adult patients during and after cancer therapy: a report from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. , 2014, European heart journal cardiovascular Imaging.
[25] R. Fisher,et al. Role of imaging in the staging and response assessment of lymphoma: consensus of the International Conference on Malignant Lymphomas Imaging Working Group. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[26] Julian Blagg,et al. Chemical biology approaches to target validation in cancer. , 2014, Current opinion in pharmacology.
[27] Mahmood Ayub,et al. Tumorigenicity and genetic profiling of circulating tumor cells in small-cell lung cancer , 2014, Nature Medicine.
[28] V. Goh,et al. Quality control within the multicentre perfusion CT study of primary colorectal cancer (PROSPeCT): results of an iodine density phantom study , 2014, European Radiology.
[29] V. Ambrosini,et al. The use of gallium-68 labeled somatostatin receptors in PET/CT imaging. , 2014, PET clinics.
[30] P. Lambin,et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach , 2014, Nature Communications.
[31] You Lu,et al. Primary Tumor Standardized Uptake Value Measured on F18-Fluorodeoxyglucose Positron Emission Tomography Is of Prediction Value for Survival and Local Control in Non–Small-Cell Lung Cancer Receiving Radiotherapy , 2014, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.
[32] Gary Box,et al. Preclinical evaluation of imaging biomarkers for prostate cancer bone metastasis and response to cabozantinib. , 2014, Journal of the National Cancer Institute.
[33] N Stallard,et al. Adaptive designs for clinical trials assessing biomarker-guided treatment strategies , 2014, British Journal of Cancer.
[34] S. Nicosia,et al. One mouse, one patient paradigm: New avatars of personalized cancer therapy. , 2014, Cancer letters.
[35] Gary Kelloff,et al. The Quantitative Imaging Network: NCI's Historical Perspective and Planned Goals. , 2014, Translational oncology.
[36] Manuel Hidalgo,et al. Patient-derived xenograft models: an emerging platform for translational cancer research. , 2014, Cancer discovery.
[37] Gina Brown,et al. Preoperative magnetic resonance imaging assessment of circumferential resection margin predicts disease-free survival and local recurrence: 5-year follow-up results of the MERCURY study. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[38] Published Online. Biomedical research: increasing value, reducing waste , 2014 .
[39] B. Freidlin,et al. Statistical and practical considerations for clinical evaluation of predictive biomarkers. , 2013, Journal of the National Cancer Institute.
[40] C Fraser,et al. The diagnostic accuracy and cost-effectiveness of magnetic resonance spectroscopy and enhanced magnetic resonance imaging techniques in aiding the localisation of prostate abnormalities for biopsy: a systematic review and economic evaluation. , 2013, Health technology assessment.
[41] G. Omenn,et al. Evolution of Translational Omics: Lessons Learned and the Path Forward , 2013 .
[42] P. Auguste,et al. Positron emission tomography/computerised tomography imaging in detecting and managing recurrent cervical cancer: systematic review of evidence, elicitation of subjective probabilities and economic modelling. , 2013, Health technology assessment.
[43] Thorsten Nowak,et al. Expanding medicinal chemistry space. , 2013, Drug discovery today.
[44] European Society of Radiology. ESR statement on the stepwise development of imaging biomarkers , 2013, Insights into Imaging.
[45] C. Gendrin,et al. 2-Deoxy-2-[18F]fluoro-d-glucose Positron Emission Tomography Demonstrates Target Inhibition with the Potential to Predict Anti-Tumour Activity Following Treatment with the AKT Inhibitor AZD5363 , 2013, Molecular Imaging and Biology.
[46] B. Al-Lazikani,et al. Personalized Cancer Medicine: Molecular Diagnostics, Predictive biomarkers, and Drug Resistance , 2012, Clinical pharmacology and therapeutics.
[47] N. Beckmann,et al. New applications of NMR in drug discovery and development , 2013 .
[48] Lisa M McShane,et al. Publication of tumor marker research results: the necessity for complete and transparent reporting. , 2012, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[49] L. Shankar. The clinical evaluation of novel imaging methods for cancer management , 2012, Nature Reviews Clinical Oncology.
[50] Nathalie Lassau,et al. Standardization of Dynamic Contrast-Enhanced Ultrasound for the Evaluation of Antiangiogenic Therapies: The French Multicenter Support for Innovative and Expensive Techniques Study , 2012, Investigative radiology.
[51] A. Avram. Reply: Role of SPECT/CT, Versus Traditional Practices, in Individualizing Treatment of Thyroid Carcinoma , 2012, The Journal of Nuclear Medicine.
[52] G. Jayson,et al. Do Imaging Biomarkers Relate to Outcome in Patients Treated with VEGF Inhibitors? , 2012, Clinical Cancer Research.
[53] Marit Holden,et al. Hypoxia-induced gene expression in chemoradioresistant cervical cancer revealed by dynamic contrast-enhanced MRI. , 2012, Cancer research.
[54] David Hsiang,et al. Baseline tumor oxygen saturation correlates with a pathologic complete response in breast cancer patients undergoing neoadjuvant chemotherapy. , 2012, Cancer research.
[55] Thomas E. Yankeelov,et al. Practical Dynamic Contrast Enhanced MRI in Small Animal Models of Cancer: Data Acquisition, Data Analysis, and Interpretation , 2012, Pharmaceutics.
[56] C. Dietrich,et al. An EFSUMB Introduction into Dynamic Contrast-Enhanced Ultrasound (DCE-US) for Quantification of Tumour Perfusion , 2012, Ultraschall in der Medizin.
[57] Jan-Jakob Sonke,et al. The PET-boost randomised phase II dose-escalation trial in non-small cell lung cancer. , 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[58] J. Waterton,et al. False-negative MRI biomarkers of tumour response to targeted cancer therapeutics , 2012, British Journal of Cancer.
[59] A. Avram. Radioiodine Scintigraphy with SPECT/CT: An Important Diagnostic Tool for Thyroid Cancer Staging and Risk Stratification , 2012, The Journal of Nuclear Medicine.
[60] Patrick Granton,et al. Radiomics: extracting more information from medical images using advanced feature analysis. , 2012, European journal of cancer.
[61] John C Waterton,et al. Qualification of imaging biomarkers for oncology drug development. , 2012, European journal of cancer.
[62] A. Jackson,et al. Dynamic contrast-enhanced MRI in clinical trials of antivascular therapies , 2012, Nature Reviews Clinical Oncology.
[63] M. P. Hayball,et al. Current status and guidelines for the assessment of tumour vascular support with dynamic contrast-enhanced computed tomography , 2012, European Radiology.
[64] David R Parkinson,et al. Making Personalized Cancer Medicine a Reality: Challenges and Opportunities in the Development of Biomarkers and Companion Diagnostics , 2012, Clinical Cancer Research.
[65] Jordi Rodon,et al. Phase I, dose-escalation study of BKM120, an oral pan-Class I PI3K inhibitor, in patients with advanced solid tumors. , 2012, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[66] E. Krenning,et al. Lutetium-labelled peptides for therapy of neuroendocrine tumours , 2012, European Journal of Nuclear Medicine and Molecular Imaging.
[67] Y. Kono,et al. Dynamic contrast enhanced ultrasound assessment of the vascular effects of novel therapeutics in early stage trials , 2012, European Radiology.
[68] F. Gallagher,et al. Imaging pH with hyperpolarized 13C , 2011, NMR in biomedicine.
[69] D. Kerr,et al. Predictive biomarkers: a paradigm shift towards personalized cancer medicine , 2011, Nature Reviews Clinical Oncology.
[70] W. Hait. Forty years of translational cancer research. , 2011, Cancer discovery.
[71] T. Powles,et al. Sequential FDG-PET/CT as a Biomarker of Response to Sunitinib in Metastatic Clear Cell Renal Cancer , 2011, Clinical Cancer Research.
[72] Lewis C Cantley,et al. The APL paradigm and the "co-clinical trial" project. , 2011, Cancer discovery.
[73] G. McLennan,et al. Quantitative imaging test approval and biomarker qualification: interrelated but distinct activities. , 2011, Radiology.
[74] G. Jayson,et al. A phase I study to determine the safety, pharmacokinetics and pharmacodynamics of a dual VEGFR and FGFR inhibitor, brivanib, in patients with advanced or metastatic solid tumors. , 2011, Annals of oncology : official journal of the European Society for Medical Oncology.
[75] G J M Parker,et al. Comparison of dynamic contrast‐enhanced MRI and dynamic contrast‐enhanced CT biomarkers in bladder cancer , 2011, Magnetic resonance in medicine.
[76] D. Hanahan,et al. Hallmarks of Cancer: The Next Generation , 2011, Cell.
[77] A. Holbrook,et al. Comparing methods to estimate treatment effects on a continuous outcome in multicentre randomized controlled trials: A simulation study , 2011, BMC medical research methodology.
[78] G. Poste. Bring on the biomarkers , 2011, Nature.
[79] D. Moher,et al. CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials , 2010, BMJ : British Medical Journal.
[80] Linda Chami,et al. Advanced hepatocellular carcinoma: early evaluation of response to bevacizumab therapy at dynamic contrast-enhanced US with quantification--preliminary results. , 2011, Radiology.
[81] I. Riphagen,et al. Added Value of Baseline 18F-FDG Uptake in Serial 18F-FDG PET for Evaluation of Response of Solid Extracerebral Tumors to Systemic Cytotoxic Neoadjuvant Treatment: A Meta-Analysis , 2010, The Journal of Nuclear Medicine.
[82] F. Sistare,et al. A Systematic Approach to Preclinical and Clinical Safety Biomarker Qualification Incorporating Bradford Hill's Principles of Causality Association , 2010, Clinical pharmacology and therapeutics.
[83] Paul Workman,et al. Envisioning the future of early anticancer drug development , 2010, Nature Reviews Cancer.
[84] Christine M. Micheel,et al. Evaluation of Biomarkers and Surrogate Endpoints in Chronic Disease , 2010 .
[85] P. Lambin,et al. Comparison between perfusion computed tomography and dynamic contrast-enhanced magnetic resonance imaging in rectal cancer. , 2010, International journal of radiation oncology, biology, physics.
[86] D. Sargent,et al. Biomarkers and surrogate end points—the challenge of statistical validation , 2010, Nature Reviews Clinical Oncology.
[87] James H. Doroshow,et al. AACR-FDA-NCI Cancer Biomarkers Collaborative Consensus Report: Advancing the Use of Biomarkers in Cancer Drug Development , 2010, Clinical Cancer Research.
[88] A. Balmain,et al. Guidelines for the welfare and use of animals in cancer research , 2010, British Journal of Cancer.
[89] R. Schilsky. Personalized medicine in oncology: the future is now , 2010, Nature Reviews Drug Discovery.
[90] J Nucl Med , 2010 .
[91] M. Okada,et al. [New response evaluation criteria in solid tumours-revised RECIST guideline (version 1.1)]. , 2009, Gan to kagaku ryoho. Cancer & chemotherapy.
[92] How to perform accurate and reliable measurements of longitudinal and transverse relaxation times of MRI contrast media in aqueous solutions. , 2009, Contrast media & molecular imaging.
[93] Geoff J M Parker,et al. Quantifying Antivascular Effects of Monoclonal Antibodies to Vascular Endothelial Growth Factor: Insights from Imaging , 2009, Clinical Cancer Research.
[94] Jeffrey A. Engelman,et al. Targeting PI3K signalling in cancer: opportunities, challenges and limitations , 2009, Nature Reviews Cancer.
[95] Martin O. Leach,et al. Reproducibility and changes in the apparent diffusion coefficients of solid tumours treated with combretastatin A4 phosphate and bevacizumab in a two-centre phase I clinical trial , 2009, European Radiology.
[96] R. Wahl,et al. From RECIST to PERCIST: Evolving Considerations for PET Response Criteria in Solid Tumors , 2009, Journal of Nuclear Medicine.
[97] P. Choyke,et al. Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. , 2009, Neoplasia.
[98] C Gatsonis,et al. Validation of novel imaging methodologies for use as cancer clinical trial end-points. , 2009, European journal of cancer.
[99] L. Schwartz,et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). , 2009, European journal of cancer.
[100] J. Gray,et al. Translational Research Working Group Developmental Pathway for Biospecimen-Based Assessment Modalities , 2008, Clinical Cancer Research.
[101] Mitchell D Schnall,et al. The Translational Research Working Group Developmental Pathway for Image-Based Assessment Modalities , 2008, Clinical Cancer Research.
[102] A. Jackson,et al. Quantitative imaging biomarkers in the clinical development of targeted therapeutics: current and future perspectives. , 2008, The Lancet. Oncology.
[103] Weibo Cai,et al. Multimodality Molecular Imaging of Tumor Angiogenesis , 2008, Journal of Nuclear Medicine.
[104] A. Hunter,et al. The Innovative Medicines Initiative: a pre-competitive initiative to enhance the biomedical science base of Europe to expedite the development of new medicines for patients. , 2008, Drug discovery today.
[105] David J Collins,et al. Technology Insight: water diffusion MRI—a potential new biomarker of response to cancer therapy , 2008, Nature Clinical Practice Oncology.
[106] Federico M Goodsaid,et al. Strategic paths for biomarker qualification. , 2008, Toxicology.
[107] R. Coleman,et al. Recommendations on the Use of 18F-FDG PET in Oncology , 2008, Journal of Nuclear Medicine.
[108] A. Wozniak,et al. Phase I clinical evaluation of ZD6126, a novel vascular-targeting agent, in patients with solid tumors , 2008, Investigational New Drugs.
[109] Janet Woodcock,et al. The FDA critical path initiative and its influence on new drug development. , 2008, Annual review of medicine.
[110] J. Wagner. Strategic approach to fit-for-purpose biomarkers in drug development. , 2008, Annual review of pharmacology and toxicology.
[111] F. Schmidt. Meta-Analysis , 2008 .
[112] A. Howell,et al. Guidance for the management of breast cancer treatment-induced bone loss: a consensus position statement from a UK Expert Group. , 2008, Cancer treatment reviews.
[113] Lawrence Barnthouse,et al. Issues and Recommendations , 2007 .
[114] Areen K. Al-Bashir,et al. New algorithm for quantifying vascular changes in dynamic contrast‐enhanced MRI independent of absolute T1 values , 2007, Magnetic Resonance in Medicine.
[115] David A. Tuveson,et al. Maximizing mouse cancer models , 2007, Nature Reviews Cancer.
[116] J. Drevs,et al. Phase I clinical study of AZD2171, an oral vascular endothelial growth factor signaling inhibitor, in patients with advanced solid tumors. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[117] Haesun Choi,et al. Correlation of computed tomography and positron emission tomography in patients with metastatic gastrointestinal stromal tumor treated at a single institution with imatinib mesylate: proposal of new computed tomography response criteria. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[118] N. Avril,et al. Functional PET imaging in cancer drug development. , 2007, Future oncology.
[119] J. Bozell. Breaking the vicious cycle. , 2007, Mental health today.
[120] Urso FORTE. Urso. HIGHLIGHTS OF PRESCRIBING INFORMATION , 2007 .
[121] A R Padhani,et al. Cost-effectiveness of screening with contrast enhanced magnetic resonance imaging vs X-ray mammography of women at a high familial risk of breast cancer , 2006, British Journal of Cancer.
[122] Joel Karp,et al. Consensus recommendations for the use of 18F-FDG PET as an indicator of therapeutic response in patients in National Cancer Institute Trials. , 2006, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[123] Paul Workman,et al. Minimally invasive pharmacokinetic and pharmacodynamic technologies in hypothesis-testing clinical trials of innovative therapies. , 2006, Journal of the National Cancer Institute.
[124] Mark J. Ratain,et al. Measuring response in a post-RECIST world: from black and white to shades of grey , 2006, Nature Reviews Cancer.
[125] L. Ein-Dor,et al. Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[126] M. Wirth,et al. Bicalutamide 150 mg plus standard care vs standard care alone for early prostate cancer , 2006, BJU international.
[127] G. Collins. The next generation. , 2006, Scientific American.
[128] Viswanath Devanarayan,et al. Fit-for-Purpose Method Development and Validation for Successful Biomarker Measurement , 2006, Pharmaceutical Research.
[129] W. Sauerbrei,et al. Reporting recommendations for tumor marker prognostic studies (REMARK). , 2005, Journal of the National Cancer Institute.
[130] Joan Leach,et al. Expert heads a'rolling Melissa Leach Ian , 2005, The Lancet.
[131] A R Padhani,et al. Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS) , 2005, The Lancet.
[132] M. Knopp,et al. The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations , 2005, British Journal of Cancer.
[133] G Scott Gazelle,et al. Cost-effectiveness analysis in the assessment of diagnostic imaging technologies. , 2005, Radiology.
[134] H. Soares,et al. Method Validation and Measurement of Biomarkers in Nonclinical and Clinical Samples in Drug Development: A Conference Report , 2005, Pharmaceutical Research.
[135] Gunnar Antoni,et al. Human positron emission tomography studies of brain neurokinin 1 receptor occupancy by aprepitant , 2004, Biological Psychiatry.
[136] Ricky T. Tong,et al. Direct evidence that the VEGF-specific antibody bevacizumab has antivascular effects in human rectal cancer , 2004, Nature Medicine.
[137] Explore Configuring. A Simulation Study to , 2004 .
[138] J. Doroshow,et al. SU5416 plus interferon alpha in advanced renal cell carcinoma: a phase II California Cancer Consortium Study with biological and imaging correlates of angiogenesis inhibition. , 2003, Clinical cancer research : an official journal of the American Association for Cancer Research.
[139] Stephen B. Johnson,et al. Central challenges facing the national clinical research enterprise. , 2003, JAMA.
[140] A. Jackson,et al. Reproducibility of quantitative dynamic contrast-enhanced MRI in newly presenting glioma. , 2003, The British journal of radiology.
[141] Johan Nuyts,et al. Cardiac phantom measurement validating the methodology for a cardiac multi-centre trial with positron emission tomography , 2002, European Journal of Nuclear Medicine and Molecular Imaging.
[142] A. Padhani,et al. Reproducibility of dynamic contrast‐enhanced MRI in human muscle and tumours: comparison of quantitative and semi‐quantitative analysis , 2002, NMR in biomedicine.
[143] B. Vojnovic,et al. Evaluation of the anti‐vascular effects of combretastatin in rodent tumours by dynamic contrast enhanced MRI , 2002, NMR in biomedicine.
[144] F. Greene. AJCC cancer staging handbook , 2002 .
[145] J. Samet,et al. Food and Drug Administration , 2007, BMJ : British Medical Journal.
[146] A L Gould,et al. Sample size re‐estimation: recent developments and practical considerations , 2001, Statistics in medicine.
[147] D. DeMets,et al. Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework , 2001, Clinical pharmacology and therapeutics.
[148] KyungMann Kim. Group Sequential Methods with Applications to Clinical Trials , 2001 .
[149] L. Lesko,et al. Use of biomarkers and surrogate endpoints in drug development and regulatory decision making: criteria, validation, strategies. , 2001, Annual review of pharmacology and toxicology.
[150] M. Christian,et al. [New guidelines to evaluate the response to treatment in solid tumors]. , 2000, Bulletin du cancer.
[151] Looking back on the millennium in medicine. , 2000, The New England journal of medicine.
[152] W. Lindblad,et al. The future is now , 2010, Nature.
[153] M. Knopp,et al. Estimating kinetic parameters from dynamic contrast‐enhanced t1‐weighted MRI of a diffusable tracer: Standardized quantities and symbols , 1999, Journal of magnetic resonance imaging : JMRI.
[154] S. Larson,et al. Prognostic significance of extent of disease in bone in patients with androgen-independent prostate cancer. , 1999, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[155] O. Linton,et al. American College of Radiology , 2018, Definitions.
[156] B. Graubard,et al. Statistical validation of intermediate endpoints for chronic diseases. , 1992, Statistics in medicine.
[157] R. Prentice. Surrogate endpoints in clinical trials: definition and operational criteria. , 1989, Statistics in medicine.
[158] D. Altman,et al. STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.
[159] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[160] A. B. Hill. The Environment and Disease: Association or Causation? , 1965, Proceedings of the Royal Society of Medicine.
[161] D. A. Bell,et al. Applied Statistics , 1953, Nature.