# (18)F-FDG PET provides high-impact and powerful prognostic stratification in staging newly diagnosed non-small cell lung cancer.

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/18-f-fdg-pet-provides-high-impact-and-powerful-prognostic-stratification-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rodney J. Hicks,Victor Kalff,Michael MacManus,Robert E. Ware,Annette Hogg,Allan F McKenzie,Jane Matthews,David Ball |
| Citations | 238 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2122801962 |
| PMID | 11696627 |
| Type | article |
| Year | 2001 |

## Paper authors

- [Rodney J. Hicks](https://scholariq.org/researchers/rodney-j-hicks/)
- [Jane Matthews](https://scholariq.org/researchers/jane-matthews/)

## Paper journal

- [PubMed](https://scholariq.org/journals/pubmed/)

## Paper primary topic

- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)

## Paper topics

- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [Lung Cancer Treatments and Mutations](https://scholariq.org/topics/lung-cancer-treatments-and-mutations/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.