Evidence map›Paper›PMID 34735296›Full record

ArticleThe British journal of radiology2022

A CT-based radiomics nomogram for differentiation of renal oncocytoma and chromophobe renal cell carcinoma with a central scar-matched study.

Xiaoli Li, Qianli Ma, Pei Nie, Yingmei Zheng, Cheng Dong, Wenjian Xu

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in The British journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Xiaoli LiDepartment of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Qianli MaDepartment of Radiology, Qingdao Municipal Hospital, Qingdao, Shandong, China.
Pei NieDepartment of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Yingmei ZhengHealth Management Center, The Affiliated Hospital of Qingdao University, Qingdao Shandong, China.
Cheng DongDepartment of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Wenjian XuDepartment of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Qingdao University · CNAffiliated Hospital of Qingdao University · CNQingdao Municipal Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePre-operative differentiation between renal oncocytoma (RO) and chromophobe renal cell carcinoma (chRCC) is critical due to their different clinical behavior and different clinical treatment decisions. The aim of this study was to develop and validate a CT-based radiomics nomogram for the pre-operative differentiation of RO from chRCC.

methodsA total of 141 patients (84 in training data set and 57 in external validation data set) with ROs (

resultsTwelve features from CT images were selected to develop the radiomics signature. The radiomics nomogram combining a clinical factor (segmental enhancement inversion) and radiomics signature showed an AUC value of 0.988 in the validation set. Decision curve analysis revealed that the diagnostic performance of the radiomics nomogram was better than the clinical model and the radiomics signature.

conclusionsThe radiomics nomogram combining clinical factors and radiomics signature performed well for distinguishing RO from chRCC. ADVANCES IN KNOWLEDGE: Differential diagnosis between renal oncocytoma (RO) and chromophobe renal cell carcinoma (chRCC) is rather difficult by conventional imaging modalities when a central scar was present.A radiomics nomogram integrated with the radiomics signature, demographics, and CT findings facilitates differentiation of RO from chRCC with improved diagnostic efficacy.The CT-based radiomics nomogram might spare unnecessary surgery for RO.

Indexed as

NomogramsAdenoma, OxyphilicAgedCarcinoma, Renal CellDiagnosis, DifferentialFemaleHumansKidney NeoplasmsMaleMiddle AgedRetrospective StudiesTomography, X-Ray Computed

Identifiers

PMID34735296
PMCPMC8722238
OpenAlexW3208929705

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.