Modeling pathologic response of esophageal cancer to chemoradiation therapy using spatial-temporal 18F-FDG PET features, clinical parameters, and demographics.

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Abstract

To construct predictive models using comprehensive tumor features for the evaluation of tumor response to neoadjuvant chemoradiation therapy (CRT) in patients with esophageal cancer.

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Journal

Journal ID (iso-abbrev): Int. J. Radiat. Oncol. Biol. Phys.

Title: International journal of radiation oncology, biology, physics

ISSN (Electronic): 1879-355X

ISSN (Print): 0360-3016

Publication date (Electronic): Jan 1 2014

Volume: 88

Issue: 1

Affiliations

[1 ] Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, Maryland.

[2 ] Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, Maryland; Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.

[3 ] Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland.

[4 ] Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, Maryland. Electronic address: wlu@umm.edu.

Article

Publisher Item ID: S0360-3016(13)03145-3 Mid ID: NIHMS537530

DOI: 10.1016/j.ijrobp.2013.09.037

PubMed ID: 24189128

SO-VID: f0abe5de-c3f6-41fa-8ada-42b836aca98d

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