Evidence map›Paper›PMID 37370882›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Radiomics from Mesorectal Blood Vessels and Lymph Nodes: A Novel Prognostic Predictor for Rectal Cancer with Neoadjuvant Therapy.

Siyuan Qin, Siyi Lu, Ke Liu, Yan Zhou, Qizheng Wang, Yongye Chen, Enlong Zhang, Hao Wang, Ning Lang

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Siyuan QinDepartment of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, China.ORCID 0000-0003-3915-0279
Siyi LuDepartment of General Surgery, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, China.
Ke LiuDepartment of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, China.
Yan ZhouDepartment of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, China.
Qizheng WangDepartment of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, China.ORCID 0000-0001-9126-8050
Yongye ChenDepartment of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, China.
Enlong ZhangDepartment of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, China.
Hao WangDepartment of Radiation Oncology, Cancer Center, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, China.
Ning LangDepartment of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, China.
Peking University · CN

Funding

Beijing United Imaging IntelligenceTechnology Research Institute Joint Research and Development Platform Foundation for Institutions and Enterprises H79462-07National Natural Science Foundation of China 81901791National Natural Science Foundation of China 81971578
6 · The paper itself

Abstract

The objective of our study is to investigate the predictive value of various combinations of radiomic features from intratumoral and different peritumoral regions of interest (ROIs) for achieving a good pathological response (pGR) following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC). This retrospective study was conducted using data from LARC patients who underwent nCRT between 2013 and 2021. Patients were divided into training and validation cohorts at a ratio of 4:1. Intratumoral ROIs (ROI

Indexed as

mesorectumneoadjuvant therapyradiomicsrectal cancerregion of interest

Identifiers

PMID37370882
PMCPMC10297215
OpenAlexW4379796348

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.