| Artificial neural networks for prediction of response to chemoradiation in HT29 xenografts. | |
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MedLine Citation:
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PMID: 19735875 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Manish Kakar; Therese Seierstad; Kathrine R??e; Dag Rune Olsen |
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Publication Detail:
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Type: Evaluation Studies; Journal Article |
Journal Detail:
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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:
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Created Date: 2009-09-08 Completed Date: 2009-09-21 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7603616 Medline TA: Int J Radiat Oncol Biol Phys Country: United States |
Other Details:
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Languages: eng Pagination: 506-11 Citation Subset: IM |
Affiliation:
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Department of Radiation Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway. Manish.Kakar@rr-research.no |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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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:
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0/Organoplatinum Compounds; 154361-50-9/capecitabine; 51-21-8/Fluorouracil; 63121-00-6/oxaliplatin; 951-77-9/Deoxycytidine |
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