Home ›
Entities
› academia
› A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma
A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma
Research article (Radiation Oncology, 2023) · cited 13× · AI/ML
A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma
Summary
A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma is a scholarly article[1].
Key Facts
A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-nomogram-model-based-on-pre-treatment-and-post-treatment-mr-imaging-radiomics-signatures-application-to-predict-progre
MLA“A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-nomogram-model-based-on-pre-treatment-and-post-treatment-mr-imaging-radiomics-signatures-application-to-predict-progre.
BibTeX@misc{4ortxyz_a-nomogram-model-based-on-pre-treatment-and-post-treatment-mr-imaging-radiomics-signatures-application-to-predict-progre_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma}}, year = {2026}, url = {https://4ort.xyz/entity/a-nomogram-model-based-on-pre-treatment-and-post-treatment-mr-imaging-radiomics-signatures-application-to-predict-progre}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma — https://4ort.xyz/entity/a-nomogram-model-based-on-pre-treatment-and-post-treatment-mr-imaging-radiomics-signatures-application-to-predict-progre (retrieved 2026-05-24)