Evidence map›Paper›PMID 39148139›Full record

ReviewCancer imaging : the official publication of the International Cancer Imaging Society2024

MRI-based habitat imaging in cancer treatment: current technology, applications, and challenges.

Shaolei Li, Yongming Dai, Jiayi Chen, Fuhua Yan, Yingli Yang

Abstract readReview
In one paragraph

Review in Cancer imaging : the official publication of the International Cancer Imaging Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

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9 more citing papers are in PubMed but not listed here.

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

5 authors.

Shaolei LiInstitute for Medical Imaging Technology, Ruijin Hospital, Shanghai, 201800, China.
Yongming DaiSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, 201210, China.
Jiayi ChenDepartment of Radiation Oncology, Ruijin Hospital, Shanghai, 201800, China.
Fuhua YanInstitute for Medical Imaging Technology, Ruijin Hospital, Shanghai, 201800, China.
Yingli YangInstitute for Medical Imaging Technology, Ruijin Hospital, Shanghai, 201800, China. yyl12920@rjh.com.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive efforts have been dedicated to exploring the impact of tumor heterogeneity on cancer treatment at both histological and genetic levels. To accurately measure intra-tumoral heterogeneity, a non-invasive imaging technique, known as habitat imaging, was developed. The technique quantifies intra-tumoral heterogeneity by dividing complex tumors into distinct sub- regions, called habitats. This article reviews the following aspects of habitat imaging in cancer treatment, with a focus on radiotherapy: (1) Habitat imaging biomarkers for assessing tumor physiology; (2) Methods for habitat generation; (3) Efforts to combine radiomics, another imaging quantification method, with habitat imaging; (4) Technical challenges and potential solutions related to habitat imaging; (5) Pathological validation of habitat imaging and how it can be utilized to evaluate cancer treatment by predicting treatment response including survival rate, recurrence, and pathological response as well as ongoing open clinical trials.

Indexed as

Magnetic Resonance ImagingNeoplasmsHumansCancer treatmentHabitat imagingTumor heterogeneity

Identifiers

PMID39148139
PMCPMC11328409

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.