Multiple mathematical models of diffusion-weighted magnetic resonance imaging combined with prognostic factors for assessing the response to neoadjuvant chemotherapy and radiation therapy in locally advanced rectal cancer

Research article (European Journal of Radiology, 2018) · cited 35× · AI/ML
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Multiple mathematical models of diffusion-weighted magnetic resonance imaging combined with prognostic factors for assessing the response to neoadjuvant chemotherapy and radiation therapy in locally advanced rectal cancer

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Multiple mathematical models of diffusion-weighted magnetic resonance imaging combined with prognostic factors for assessing the response to neoadjuvant chemotherapy and radiation therapy in locally advanced rectal cancer is a scholarly article[1].

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  • Multiple mathematical models of diffusion-weighted magnetic resonance imaging combined with prognostic factors for assessing the response to neoadjuvant chemotherapy and radiation therapy in locally advanced rectal cancer's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Multiple mathematical models of diffusion-weighted magnetic resonance imaging combined with prognostic factors for assessing the response to neoadjuvant chemotherapy and radiation therapy in locally advanced rectal cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/multiple-mathematical-models-of-diffusion-weighted-magnetic-resonance-imaging-combined-with-prognostic-factors-for-asses
MLA “Multiple mathematical models of diffusion-weighted magnetic resonance imaging combined with prognostic factors for assessing the response to neoadjuvant chemotherapy and radiation therapy in locally advanced rectal cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multiple-mathematical-models-of-diffusion-weighted-magnetic-resonance-imaging-combined-with-prognostic-factors-for-asses.
BibTeX @misc{4ortxyz_multiple-mathematical-models-of-diffusion-weighted-magnetic-resonance-imaging-combined-with-prognostic-factors-for-asses_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multiple mathematical models of diffusion-weighted magnetic resonance imaging combined with prognostic factors for assessing the response to neoadjuvant chemotherapy and radiation therapy in locally advanced rectal cancer}}, year = {2026}, url = {https://4ort.xyz/entity/multiple-mathematical-models-of-diffusion-weighted-magnetic-resonance-imaging-combined-with-prognostic-factors-for-asses}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multiple mathematical models of diffusion-weighted magnetic resonance imaging combined with prognostic factors for assessing the response to neoadjuvant chemotherapy and radiation therapy in locally advanced rectal cancer — https://4ort.xyz/entity/multiple-mathematical-models-of-diffusion-weighted-magnetic-resonance-imaging-combined-with-prognostic-factors-for-asses (retrieved 2026-05-24)

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