Evidence map›Paper›PMID 34103987›Full record

ReviewCancer management and research2021

MRI Evaluation of Complete Response of Locally Advanced Rectal Cancer After Neoadjuvant Therapy: Current Status and Future Trends.

Qiaoyu Xu, Yanyan Xu, Hongliang Sun, Tao Jiang, Sheng Xie, Bee Yen Ooi, Yi Ding

Open access · goldAbstract readReview
In one paragraph

Review in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  8. Medical Radiology: Current Progress.Diagnostics (Basel, Switzerland) · 2023
    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

7 authors at 3 institutions in 2 countries.

Qiaoyu XuDepartment of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People's Republic of China.
Yanyan XuDepartment of Radiology, China-Japan Friendship Hospital, Beijing, People's Republic of China.
Hongliang SunDepartment of Radiology, China-Japan Friendship Hospital, Beijing, People's Republic of China.ORCID 0000-0001-5757-752X
Tao JiangDepartment of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People's Republic of China.
Sheng XieDepartment of Radiology, China-Japan Friendship Hospital, Beijing, People's Republic of China.
Bee Yen OoiDepartment of Radiology, Hospital Seberang Jaya, Penang, Malaysia.
Yi DingDepartment of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-1447-1597
Capital Medical University · CNChina-Japan Friendship Hospital · CNHospital Seberang Jaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complete tumor response can be achieved in a certain proportion of patients with locally advanced rectal cancer, who achieve maximal response to neoadjuvant therapy (NAT). For these patients, a watch-and-wait (WW) or nonsurgical strategy has been proposed and is becoming widely practiced in order to avoid unnecessary surgical complications. Therefore, a non-invasive, reliable diagnostic tool for accurately evaluating complete tumor response is needed. Magnetic resonance imaging (MRI) plays a crucial role in both primary staging and restaging tumor response to NAT in rectal cancer without relying on resected specimen. In recent years, numerous efforts have been made to research the value of MRI in predicting and evaluating complete response in rectal cancer. Current MRI evaluation is mainly based on morphological and functional images. Morphologic MRI yields high soft tissue resolution, multiplanar images, and provides detailed depictions of rectal cancer and its surrounding structures. Functional MRI may help to distinguish residual tumor from fibrosis, therefore improving the diagnostic performance of morphologic MRI in identifying complete tumor response. Both morphologic and functional MRI have several promising parameters that may help accurately evaluate and/or predict complete response of rectal cancer. However, these parameters still have limitations and the results remain inconsistent. Recent development of new techniques, such as textural analysis, radiomics analysis and deep learning, demonstrate great potential based on MRI-derived parameters. This article aimed to review and help better understand the strengths, limitations, and future trends of these MRI-derived methods in evaluating complete response in rectal cancer.

Indexed as

complete responselocally advanced rectal cancermagnetic resonance imagingneoadjuvant therapy

Identifiers

PMID34103987
PMCPMC8179813
OpenAlexW3172354285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.