Evidence map›Paper›PMID 36471884›Full record

ReviewJournal of oncology2022

Application of Radiomics in Predicting Treatment Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer: Strategies and Challenges.

Rui Chen, Yan Fu, Xiaoping Yi, Qian Pei, Hongyan Zai, Bihong T Chen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Rui ChenDepartment of Radiology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
Yan FuDepartment of Radiology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
Xiaoping YiDepartment of Radiology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.ORCID https://orcid.org/0000-0002-4220-1981
Qian PeiDepartment of Radiology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
Hongyan ZaiDepartment of Radiology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.ORCID https://orcid.org/0000-0002-6118-0960
Bihong T ChenDepartment of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neoadjuvant chemoradiotherapy (nCRT) followed by total mesorectal excision is the standard treatment for locally advanced rectal cancer (LARC). A noninvasive preoperative prediction method should greatly assist in the evaluation of response to nCRT and for the development of a personalized strategy for patients with LARC. Assessment of nCRT relies on imaging and radiomics can extract valuable quantitative data from medical images. In this review, we examined the status of radiomic application for assessing response to nCRT in patients with LARC and indicated a potential direction for future research.

Identifiers

PMID36471884
PMCPMC9719428

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.