Literature DB >> 19164218

Imaging surrogates of tumor response to therapy: anatomic and functional biomarkers.

Binsheng Zhao1, Lawrence H Schwartz, Steve M Larson.   

Abstract

This article addresses the current status of quantitative imaging as a surrogate biomarker for the assessment of tumor response to therapy with non-small cell lung cancer as an example. In addition, the article discusses the limitations of conventional response criteria in the new era of molecular-targeted agents for cancer treatment; the increasing need for more accurate and early response-assessment methods, particularly for volumetric CT; new tumor-specific radiotracers and molecular imaging technologies; and the future applications of molecular imaging with PET for studying various features of cancer metabolism, endocrine status, hypoxia, and oncofetal and differentiation antigens.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19164218     DOI: 10.2967/jnumed.108.056655

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  32 in total

Review 1.  Imaging of lung cancer in the era of molecular medicine.

Authors:  Mizuki Nishino; David M Jackman; Hiroto Hatabu; Pasi A Jänne; Bruce E Johnson; Annick D Van den Abbeele
Journal:  Acad Radiol       Date:  2011-01-28       Impact factor: 3.173

2.  Precision medicine and molecular imaging: new targeted approaches toward cancer therapeutic and diagnosis.

Authors:  Mojtaba Ghasemi; Iraj Nabipour; Abdolmajid Omrani; Zeinab Alipour; Majid Assadi
Journal:  Am J Nucl Med Mol Imaging       Date:  2016-11-30

Review 3.  A review on segmentation of positron emission tomography images.

Authors:  Brent Foster; Ulas Bagci; Awais Mansoor; Ziyue Xu; Daniel J Mollura
Journal:  Comput Biol Med       Date:  2014-04-28       Impact factor: 4.589

4.  Preparation, biological evaluation, and pharmacokinetics of the human anti-HER1 monoclonal antibody panitumumab labeled with 86Y for quantitative PET of carcinoma.

Authors:  Tapan K Nayak; Kayhan Garmestani; Kwamena E Baidoo; Diane E Milenic; Martin W Brechbiel
Journal:  J Nucl Med       Date:  2010-05-19       Impact factor: 10.057

5.  Measurement of tumor volumes improves RECIST-based response assessments in advanced lung cancer.

Authors:  P David Mozley; Claus Bendtsen; Binsheng Zhao; Lawrence H Schwartz; Matthias Thorn; Yuanxin Rong; Luduan Zhang; Andrea Perrone; René Korn; Andrew J Buckler
Journal:  Transl Oncol       Date:  2012-02-01       Impact factor: 4.243

6.  Three-dimensional Radiologic Assessment of Chemotherapy Response in Ewing Sarcoma Can Be Used to Predict Clinical Outcome.

Authors:  Maryam Aghighi; Justin Boe; Jarrett Rosenberg; Rie Von Eyben; Rakhee S Gawande; Philippe Petit; Tarsheen K Sethi; Jeremy Sharib; Neyssa M Marina; Steven G DuBois; Heike E Daldrup-Link
Journal:  Radiology       Date:  2016-03-16       Impact factor: 11.105

7.  ¹⁸F-FDG PET predicts survival after pretargeted radioimmunotherapy in patients with progressive metastatic medullary thyroid carcinoma.

Authors:  Pierre-Yves Salaun; Loïc Campion; Catherine Ansquer; Eric Frampas; Cédric Mathieu; Philippe Robin; Claire Bournaud; Jean-Philippe Vuillez; David Taieb; Caroline Rousseau; Delphine Drui; Eric Mirallié; Françoise Borson-Chazot; David M Goldenberg; Jean-François Chatal; Jacques Barbet; Françoise Kraeber-Bodéré
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-05-08       Impact factor: 9.236

8.  Serial diffusion MRI to monitor and model treatment response of the targeted nanotherapy CRLX101.

Authors:  Thomas S C Ng; David Wert; Hargun Sohi; Daniel Procissi; David Colcher; Andrew A Raubitschek; Russell E Jacobs
Journal:  Clin Cancer Res       Date:  2013-03-26       Impact factor: 12.531

9.  Segmentation of PET images for computer-aided functional quantification of tuberculosis in small animal models.

Authors:  Brent Foster; Ulas Bagci; Bappaditya Dey; Brian Luna; William Bishai; Sanjay Jain; Daniel J Mollura
Journal:  IEEE Trans Biomed Eng       Date:  2013-11-05       Impact factor: 4.538

10.  Optimal Joint Detection and Estimation That Maximizes ROC-Type Curves.

Authors:  Adam Wunderlich; Bart Goossens; Craig K Abbey
Journal:  IEEE Trans Med Imaging       Date:  2016-04-13       Impact factor: 10.048

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.