A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning.

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Adaptive radiotherapy for locally advanced non-small cell lung cancer: dosimetric gain and treatment outcome prediction.

P2860

Q47794635-C741CE31-87C9-43A8-B7FB-EFB31ACFBE89

P2860

A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning.

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2017 nî lūn-bûn

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@yue

2017年論文

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2017年論文

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A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning.

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A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning.

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label

A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning.

@en

A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning.

@nl

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A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning.

@en

A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning.

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P1476

A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning.

@en

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Aditya Apte

http://www.w3.org/2001/XMLSchema#string

Andreas Rimner

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Andrew Jackson

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Ellen Yorke

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Gig Mageras

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Licheng Kuo

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Natalie Lockney

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Pengpeng Zhang

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Yu-Chi Hu

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P2860

Cancer statistics, 2016

CERR: a computational environment for radiotherapy research.

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

Standard-dose versus high-dose conformal radiotherapy with concurrent and consolidation carboplatin plus paclitaxel with or without cetuximab for patients with stage IIIA or IIIB non-small-cell lung cancer (RTOG 0617): a randomised, two-by-two facto

Defining local-regional control and its importance in locally advanced non-small cell lung carcinoma

Using fluorodeoxyglucose positron emission tomography to assess tumor volume during radiotherapy for non-small-cell lung cancer and its potential impact on adaptive dose escalation and normal tissue sparing.

Spatial-temporal [¹⁸F]FDG-PET features for predicting pathologic response of esophageal cancer to neoadjuvant chemoradiation therapy

Predicting distant failure in early stage NSCLC treated with SBRT using clinical parameters.

FDG-PET maximum standardized uptake value is prognostic for recurrence and survival after stereotactic body radiotherapy for non-small cell lung cancer.

Adaptive radiotherapy for lung cancer.

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702-714

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scholarly article

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10.1088/1361-6560/AA54F9

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http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

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Joseph Deasy

P577

2017-01-10T00:00:00Z

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P698

28072571

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P932

5503804

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A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning.

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P2860

P2860

A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning.

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P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P932