Evidence map›Paper›PMID 39192879›Full record

ArticleClinical and translational radiation oncology2024

Utility of interim apparent diffusion coefficient value in predicting treatment response among patients with locally advanced cervical cancer treated with radiotherapy.

Chunyu Liang, Wei Wang, Guohui Yang, Zhiyuan Xu, Jian Li, Kusheng Wu, Xinping Shen

Abstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2024. 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

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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

7 authors.

Chunyu LiangDepartment of Medical Imaging, Radiology Center, The University of Hong Kong-Shenzhen Hospital, 518000 Shenzhen, Guangdong, China.
Wei WangDepartment of Medical Imaging, Radiology Center, The University of Hong Kong-Shenzhen Hospital, 518000 Shenzhen, Guangdong, China.
Guohui YangDepartment of Medical Imaging, Radiology Center, The University of Hong Kong-Shenzhen Hospital, 518000 Shenzhen, Guangdong, China.
Zhiyuan XuDepartment of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, 518000 Shenzhen, Guangdong, China.
Jian LiDepartment of Medical Imaging, Radiology Center, The University of Hong Kong-Shenzhen Hospital, 518000 Shenzhen, Guangdong, China.
Kusheng WuDepartment of Preventive Medicine, Shantou University Medical College, 515041 Shantou, Guangdong, China.
Xinping ShenDepartment of Medical Imaging, Radiology Center, The University of Hong Kong-Shenzhen Hospital, 518000 Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: For locally advanced cervical cancer (LACC), treatment response to radiotherapy (RT) can vary significantly even among those with the same stage classification of International Federation of Gynecology and Obstetrics (FIGO). This study investigated the value of ADC metric for forecasting end-of-treatment outcomes in LACC patients referred for RT. Methods: Eighty patients with pathologically confirmed cervical squamous cell carcinoma with (SCC) were included in the research. Abdominal or pelvic MRI scans were conducted at least three times for all participants: before RT, three weeks after beginning of RT and approximately two months after RT was finalized. Calculated apparent diffusion coefficient (ADC) values of the LACC include: pre-ADC, interim-ADC, ΔADC and Δ%ADC. Based on Response Evaluation Criteria in Solid Tumors (RECIST) 1.1, subjects were calculated and subsequently categorized into good responders group (complete response) and poor responders group (progressive disease, stable disease or partial response). Results: Compared to good-responders, subjects of poor-responder group showed significantly lower values of interim-ADC, ΔADC, and Δ%ADC (all Conclusion: The interim-ADC value and baseline tumor diameter surfaced as possible indicative factors for predicting the response to RT in patients with LACC.

Indexed as

Apparent diffusion coefficientDiffusion weighted imagingLocally advanced cervical cancerRadiotherapyTreatment response

Identifiers

PMID39192879
PMCPMC11347826

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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.