Evidence map›Paper›PMID 38767732›Full record

ArticleJapanese journal of radiology2024

Differentiating mixed epithelial and stromal tumor family from predominantly cystic renal cell carcinoma using magnetic resonance imaging-based Bosniak classification system version 2019.

Hui-Ping Guo, Wei Xu, Yu-Wei Hao, Huan-Huan Kang, Xiao-Jing Zhang, Xiao-Hui Ding, Jian Zhao, Xu Bai, Shao-Peng Zhou, Hui-Yi Ye and 1 more

Abstract read
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In one paragraph

Article in Japanese journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

11 authors.

Hui-Ping Guo *Department of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China.ORCID http://orcid.org/0000-0001-5197-871X
Wei Xu *Department of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China.ORCID http://orcid.org/0000-0001-8073-6365
Yu-Wei HaoDepartment of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China.ORCID http://orcid.org/0000-0001-9960-9745
Huan-Huan KangDepartment of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China.ORCID http://orcid.org/0000-0001-6848-9525
Xiao-Jing ZhangDepartment of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China.ORCID http://orcid.org/0000-0002-5719-1085
Xiao-Hui DingDepartment of Pathology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China.ORCID http://orcid.org/0000-0001-7229-0797
Jian ZhaoDepartment of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China.ORCID http://orcid.org/0000-0002-5125-1112
Xu BaiDepartment of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China.ORCID http://orcid.org/0000-0001-8755-4257
Shao-Peng ZhouDepartment of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China.ORCID http://orcid.org/0000-0002-4866-9550
Hui-Yi YeDepartment of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China.ORCID http://orcid.org/0000-0001-7848-3573
Hai-Yi WangDepartment of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China. wanghaiyi301@outlook.com.ORCID http://orcid.org/0000-0002-0717-1748

Funding

Beijing Municipal Natural Science Foundation NO. 7222167National Natural Science Foundation of China No. 81971580National Natural Science Foundation of China No. 82271951
6 · The paper itself

Abstract

purposeTo differentiate mixed epithelial and stromal tumor family (MESTF) of the kidney from predominantly cystic renal cell carcinoma (RCC) using the magnetic resonance imaging (MRI)-based Bosniak classification system version 2019 (v2019). MATERIALS AND

methodsThe study included 36 consecutive patients with MESTF and 77 with predominantly cystic RCC who underwent preoperative renal MRI. One radiologist evaluated and documented the clinical and MRI characteristics (age, sex, laterality, R.E.N.A.L. Nephrometry Score [RNS], surgical approach, the signal intensity on T

resultsMESTF and predominantly cystic RCC groups significantly differed in terms of age, lesion size, RNS, restricted diffusion, and obvious enhancement in corticomedullary phase, but not sex, laterality, surgical approach, and the signal intensity on T

conclusionThe MRI-based Bosniak classification system v2019 can effectively distinguish MESTF from predominantly cystic RCC if category III was used as a cutoff reference.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsMagnetic Resonance ImagingAdultAgedAged, 80 and overDiagnosis, DifferentialFemaleHumansKidneyMaleMiddle AgedNeoplasms, Glandular and EpithelialRetrospective StudiesSensitivity and SpecificityBosniak classificationCystic renal massesMagnetic resonance imagingMixed epithelial and stromal tumorRenal cell carcinoma

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Registered trials

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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.