# FDG PET/CT as a prognostic biomarker in the era of molecular-targeting therapies: max SUVmax predicts survival of patients with advanced renal cell carcinoma

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/fdg-pet-ct-as-a-prognostic-biomarker-in-the-era-of-molecular-targeting-therapies/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Noboru Nakaigawa,Keiichi Kondo,Ukihide Tateishi,Ryogo Minamimoto,Tomohiro Kaneta,Kazuhiro Namura,Daiki Ueno,Kazuki Kobayashi,Takeshi Kishida,Ichiro Ikeda,Hisashi Hasumi,Kazuhide Makiyama,Yoshinobu Kubota,Tomio Inoue,Masahiro Yao |
| Citations | 58 |
| DOI | 10.1186/s12885-016-2097-4 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://bmccancer.biomedcentral.com/track/pdf/10.1186/s12885-016-2097-4 |
| OpenAlex ID | https://openalex.org/W2260269763 |
| PMID | 26857818 |
| Type | article |
| Year | 2016 |

## Paper authors

- [Kazuhide Makiyama](https://scholariq.org/researchers/kazuhide-makiyama/)
- [Daiki Ueno](https://scholariq.org/researchers/daiki-ueno/)

## Paper journal

- [BMC Cancer](https://scholariq.org/journals/bmc-cancer/)

## Paper primary topic

- [Renal cell carcinoma treatment](https://scholariq.org/topics/renal-cell-carcinoma-treatment/)

## Paper topics

- [Renal cell carcinoma treatment](https://scholariq.org/topics/renal-cell-carcinoma-treatment/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Pancreatic and Hepatic Oncology Research](https://scholariq.org/topics/pancreatic-and-hepatic-oncology-research/)

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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.