Evidence map›Paper›PMID 39896183›Full record

ReviewFrontiers in oncology2024

Radiomics in rectal cancer: current status of use and advances in research.

Wei-Qin Huang, Ruo-Xuan Lin, Xiao-Hui Ke, Xiao-Hong Deng, Shi-Xiong Ni, Lina Tang

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
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  8. Review
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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

6 authors.

Wei-Qin HuangDepartment of Ultrasonography, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fudan University Shanghai Cancer Center, Fuzhou, China.
Ruo-Xuan LinDepartment of Ultrasonography, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fudan University Shanghai Cancer Center, Fuzhou, China.
Xiao-Hui KeDepartment of Ultrasonography, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fudan University Shanghai Cancer Center, Fuzhou, China.
Xiao-Hong DengDepartment of Ultrasonography, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fudan University Shanghai Cancer Center, Fuzhou, China.
Shi-Xiong NiDepartment of Ultrasonography, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fudan University Shanghai Cancer Center, Fuzhou, China.
Lina TangDepartment of Ultrasonography, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fudan University Shanghai Cancer Center, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rectal cancer is a leading cause of morbidity and mortality among patients with malignant tumors in China. In light of the advances made in therapeutic approaches such as neoadjuvant therapy and total mesorectal excision, precise preoperative assessment has become crucial for developing a personalized treatment plan. As an emerging technology, radiomics has gained widespread application in the diagnosis, assessment of treatment response, and analysis of prognosis for rectal cancer by extracting high-throughput quantitative features from medical images. Radiomics thus demonstrates considerable potential for optimizing clinical decision-making. In this paper, we reviewed recent research focusing on advances in the use of radiomics for managing rectal cancer. The review covers TNM staging of tumors, assessment of neoadjuvant therapy outcomes, and survival prediction. We also discuss the challenges and prospects for future developments in translational medicine, particularly the need for data standardization, consistent feature extraction methodologies, and rigorous model validation.

Indexed as

prognosisradiomicsrectal cancerresponse to neoadjuvantstaging

Identifiers

PMID39896183
PMCPMC11782148

What OpenQuestion holds

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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.