# Logistic regression analysis of imaging characteristics of transvaginal ultrasonography for predicting severe endometriosis by r-ASRM classification via laparoscopy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/logistic-regression-analysis-of-imaging-characteristics-of-transvaginal/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Qing Su,Huoling Luo,Jia Guo,He Ning,Zeping Xu,Chanjun Zhen,J. Chen,Feiliang Wang,Qian Li,Peng Wang |
| Citations | 1 |
| DOI | 10.61186/ijrr.22.4.998 |
| Fields | Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | http://ijrr.com/files/site1/user_files_fad21f/admin-A-10-1-1268-f8c6c2e.pdf |
| OpenAlex ID | https://openalex.org/W4405994681 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Chanjun Zhen](https://scholariq.org/researchers/chanjun-zhen/)

## Paper journal

- [International Journal of Radiation Research](https://scholariq.org/journals/international-journal-of-radiation-research/)

## Paper primary topic

- [Endometriosis Research and Treatment](https://scholariq.org/topics/endometriosis-research-and-treatment/)

## Paper topics

- [Endometriosis Research and Treatment](https://scholariq.org/topics/endometriosis-research-and-treatment/)
- [Gynecological conditions and treatments](https://scholariq.org/topics/gynecological-conditions-and-treatments/)
- [Endometrial and Cervical Cancer Treatments](https://scholariq.org/topics/endometrial-and-cervical-cancer-treatments/)

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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.