# The cribriform pattern identifies a subset of acinar predominant tumors with poor prognosis in patients with stage I lung adenocarcinoma: a conceptual proposal to classify cribriform predominant tumors as a distinct histologic subtype

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-cribriform-pattern-identifies-a-subset-of-acinar-predominant-tumors-with/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kyuichi Kadota,Yi‐Chen Yeh,Camelia S. Sima,Valerie W. Rusch,André L. Moreira,Prasad S. Adusumilli,William D. Travis |
| Citations | 152 |
| DOI | 10.1038/modpathol.2013.188 |
| Fields | Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://www.nature.com/articles/modpathol2013188.pdf |
| OpenAlex ID | https://openalex.org/W2082851237 |
| PMID | 24186133 |
| Type | article |
| Year | 2013 |

## Paper authors

- [Yi‐Chen Yeh](https://scholariq.org/researchers/yi-chen-yeh/)

## 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.