Evidence map›Paper›PMID 42757968›Full record

ArticleRadiology. Imaging cancer2026

Synthetic Phase-Sensitive Inversion Recovery and Extramural Vascular Invasion Scoring Systems for Vascular Invasion Detection and Metastasis Risk in Rectal Cancer.

Yuxi Ge, Xiaofei Wu, Heng Zhang, Zi Wang, Kang Wang, Wenjie Chai, Wenbo Xu, Jiankun Dai, Yutian Zhao, Shudong Hu

Abstract read
In one paragraph

Article in Radiology. Imaging cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Yuxi GeDepartment of Radiology, Affiliated Hospital of Jiangnan University, 1000 Hefeng Road, Wuxi, Jiangsu, China 214000.ORCID 0000-0002-6705-2230
Xiaofei WuDepartment of Radiology, Affiliated Hospital of Jiangnan University, 1000 Hefeng Road, Wuxi, Jiangsu, China 214000.
Heng ZhangDepartment of Radiology, Affiliated Hospital of Jiangnan University, 1000 Hefeng Road, Wuxi, Jiangsu, China 214000.ORCID 0000-0002-5708-3965
Zi WangDepartment of Radiology, Affiliated Hospital of Jiangnan University, 1000 Hefeng Road, Wuxi, Jiangsu, China 214000.
Kang WangDepartment of Radiology, Affiliated Hospital of Jiangnan University, 1000 Hefeng Road, Wuxi, Jiangsu, China 214000.
Wenjie ChaiDepartment of Radiology, Donghai County People's Hospital, Lianyungang, Jiangsu, China.
Wenbo XuFudan University Wuxi Research Institute, Wuxi, Jiangsu, China.
Jiankun DaiGE Healthcare, MR Research China, Beijing, China.
Yutian ZhaoDepartment of Oncology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China.
Shudong HuDepartment of Radiology, Affiliated Hospital of Jiangnan University, 1000 Hefeng Road, Wuxi, Jiangsu, China 214000.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To develop and validate a modified extramural vascular invasion (EMVI) scoring system with synthetic phase-sensitive inversion recovery (SyPSIR) images to improve vascular invasion detection and metastasis prediction in patients with rectal cancer. Materials and Methods Participants with rectal cancer were eligible for this single-center prospective study between October 2020 and June 2024, with follow-up intervals of 3-6 months (median follow-up, 23 months; range, 3-50 months). All participants underwent EMVI evaluation using conventional T2-weighted imaging-based and modified synthetic phase-sensitive inversion recovery-incorporated scoring systems, with diagnostic performance for pathologic EMVI detection evaluated against histopathology. Receiver operating characteristic curve analysis was used to evaluate the diagnostic performance of the pathologic EMVI results. Kaplan-Meier survival analysis and multivariable Cox regression analysis were used to compare the prognostic performance of the scoring systems, and a nomogram for metastasis risk stratification was developed. Results This study included 356 participants (mean age, 65 years ± 10 [SD]; 238 males) with rectal cancer (304 with pathologically confirmed EMVI). The modified EMVI scoring system demonstrated better diagnostic performance for pathologic EMVI detection than the conventional T2-weighted imaging system (sensitivity: 59%-80% vs 33%-49%; area under the receiver operating characteristic curve: 0.72-0.80 vs 0.59-0.68;

Indexed as

Magnetic Resonance ImagingRectal NeoplasmsAgedFemaleHumansMaleMiddle AgedNeoplasm InvasivenessNeoplasm MetastasisPrognosisProspective StudiesAbdomen/GIDiagnosisMR-ImagingPrognosis & Prediction

Identifiers

PMID42757968
PMCPMC13620328

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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.