Document Detail


Artificial neural networks for prediction of response to chemoradiation in HT29 xenografts.
MedLine Citation:
PMID:  19735875     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: To evaluate the feasibility of using neural networks for predicting treatment response by using longitudinal measurements of apparent diffusion coefficient (ADC) obtained from diffusion-weighted magnetic resonance imaging (DWMRI).
METHODS AND MATERIALS: Mice bearing HT29 xenografts were allocated to six treatment groups receiving different combinations of daily chemotherapy and/or radiation therapy for 2 weeks. T(2)-weighted and DWMR images were acquired before treatment, twice during fractionated chemoradiation (at days 4 and 11), and four times after treatment ended (at days 18, 25, 32, and 46). A tumor doubling growth delay (T(delay)) value was found for individual xenografts. ADC values and treatment groups (1-6) were used as input to a back propagation neural network (BPNN) to predict T(delay).
RESULTS: When treatment group and ADC values from days 0, 4, 11, 18, 25, 32, and 46 were used as inputs to the BPNN, a strong correlation between measured and predicted T(delay) values was found (R = 0.731, p < 0.01). When ADC values from days 0, 4, and 11, and the treatment group were used as inputs, the correlation between predicted and measured T(delay) was 0.693 (p < 0.01).
CONCLUSIONS: BPNN was successfully used to predict T(delay) from tumor ADC values obtained from HT29 xenografts undergoing fractionated chemoradiation therapy.
Authors:
Manish Kakar; Therese Seierstad; Kathrine Røe; Dag Rune Olsen
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Publication Detail:
Type:  Evaluation Studies; Journal Article    
Journal Detail:
Title:  International journal of radiation oncology, biology, physics     Volume:  75     ISSN:  1879-355X     ISO Abbreviation:  Int. J. Radiat. Oncol. Biol. Phys.     Publication Date:  2009 Oct 
Date Detail:
Created Date:  2009-09-08     Completed Date:  2009-09-21     Revised Date:  2013-05-28    
Medline Journal Info:
Nlm Unique ID:  7603616     Medline TA:  Int J Radiat Oncol Biol Phys     Country:  United States    
Other Details:
Languages:  eng     Pagination:  506-11     Citation Subset:  IM    
Affiliation:
Department of Radiation Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway. Manish.Kakar@rr-research.no
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MeSH Terms
Descriptor/Qualifier:
Animals
Antineoplastic Combined Chemotherapy Protocols / therapeutic use
Colonic Neoplasms / drug therapy*,  pathology,  radiotherapy*
Combined Modality Therapy / methods
Deoxycytidine / administration & dosage,  analogs & derivatives
Diffusion Magnetic Resonance Imaging / methods
Feasibility Studies
Fluorouracil / administration & dosage,  analogs & derivatives
HT29 Cells
Humans
Mice
Mice, Inbred BALB C
Mice, Nude
Neural Networks (Computer)*
Organoplatinum Compounds / administration & dosage
Random Allocation
Time Factors
Transplantation, Heterologous
Treatment Outcome
Tumor Burden / drug effects,  radiation effects
Chemical
Reg. No./Substance:
0/Organoplatinum Compounds; 51-21-8/Fluorouracil; 63121-00-6/oxaliplatin; 6804DJ8Z9U/capecitabine; 951-77-9/Deoxycytidine

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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