Evidence map›Paper›PMID 41273672›Full record

ArticleAnnals of surgical oncology2026

A Novel Imaging-Guided Classification System for Completely Endophytic Renal Tumors: Strategies for Optimal Partial Nephrectomy and Clinical Outcome Comparison.

Keruo Wang, Jianwei Zhang, Wenzhe Zhou, Yaru Liu, Zhili Yao, Jiahong Yao, Yaofeng Liu, Jiaming Zhang, Kangkang Liu, Gang Li

Registry-linked trialAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06954571 (A Novel Imaging-Guided Classification System for Completely Endophytic Renal Tumors), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

NCT06954571 active not recruitingnot on this map

A Novel Imaging-Guided Classification System for Completely Endophytic Renal Tumors: Strategies for Optimal Partial Nephrectomy and Clinical Outcome Comparison

TypeobservationalSponsorTianjin Medical University Second HospitalRan2018 to 2025Enrolled190ConditionsRenal Tumors
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Keruo Wang *Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Jianwei Zhang *Department of Urology, Tianjin Medical University Baodi Hospital, Tianjin, China.
Wenzhe Zhou *Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Yaru LiuDepartment of Pulmonary & Critical Care Medicine, 8th Medical Center, Chinese PLA General Hospital, Beijing, China.
Zhili YaoDepartment of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Jiahong YaoDepartment of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Yaofeng LiuDepartment of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Jiaming ZhangDepartment of Otorhinolaryngology, Head and Neck Surgery, The Second Hospital of Tianjin Medical University, Tianjin, China.
Kangkang LiuDepartment of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Gang LiDepartment of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China. ligang2379@163.com.

Funding

Scientific Research Project of Municipal Education Commission No. 2022KJ250
6 · The paper itself

Abstract

backgroundCompletely endophytic renal tumors (CERTs) pose significant challenges in surgical decision-making owing to their intricate anatomical locations and structures. Currently, clinical practice lacks a standardized classification system to guide surgical approaches for CERTs situated in diverse anatomical regions. This study proposes an innovative imaging-guided classification system designed to facilitate personalized surgical guidance. In addition, we evaluated the system's effectiveness in improving surgical precision and clinical outcomes. PATIENTS AND

methodsA retrospective analysis was conducted on 190 patients with CERT who underwent partial nephrectomy (PN) at the Second Hospital of Tianjin Medical University from 2018 to 2024. Utilizing the novel imaging-based CERT classification, optimal surgical strategies were identified for each subtype. The clinicopathologic characteristics, postoperative renal function recovery, and prognostic outcomes among patient subgroups were systematically assessed. Furthermore, independent predictors of Trifecta achievement in patients with CERT following PN were identified.

resultsThe 190 CERT cases were classified into three categories on the basis of imaging criteria: Type I (N = 57), Type II (N = 107; subdivided into IIa: 70, and IIb: 37), and Type III (N = 26). Compared with Types I and II, patients classified as Type III demonstrated significantly higher P.A.D.U.A. and R.E.N.A.L. scores, longer operative times, increased warm ischemia times (WITs), and notably lower Trifecta achievement rates. Univariate and multivariate logistic regression analyses identified ASA score, tumor size, and the newly proposed CERT classification system as independent predictors of Trifecta achievement.

conclusionsThe imaging-guided CERT classification system effectively guides personalized surgical planning, enhances surgical precision, and promotes improved postoperative renal function recovery. Research registration unique identifying number (UIN): UNI:NCT06954571.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsNephrectomySurgery, Computer-AssistedAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRetrospective StudiesSurvival RateTomography, X-Ray ComputedClassification systemCompletely endophytic renal tumorPartial nephrectomySurgical strategyThree-dimensional reconstruction

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.