The apparent diffusion coefficient as a biomarker in the diagnosis of cervical cancer and the assessment of therapeutic response to chemoradiation therapy.

Jelena Vasić, Nataša Prvulović Bunović, Milica Šarošković, Jelena Vuković, Stefan Stojanoski, Igor Nosek, Miloš Vuković

Abstract read

In one paragraph

Article in Frontiers in oncology, 2025. 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.

Locally Advanced Cervical Cancer: Multiparametric MRI in Gynecologic Oncology and Precision Medicine.Diagnostics (Basel, Switzerland) · 2025
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.

Jelena Vasić *Department of Radiology, Faculty of Medicine Novi Sad, University of Novi Sad, Novi Sad, Serbia.

Nataša Prvulović Bunović *Department for Radiology Diagnostics, Oncology Institute of Vojvodina, Sremska Kamenica, Serbia.

Milica ŠaroškovićDepartment of Radiology, Faculty of Medicine Novi Sad, University of Novi Sad, Novi Sad, Serbia.

Jelena VukovićDepartment of Gynecology and Obstetrics, Faculty of Medicine Novi Sad, University of Novi Sad, Novi Sad, Serbia.

Stefan StojanoskiDepartment of Radiology, Faculty of Medicine Novi Sad, University of Novi Sad, Novi Sad, Serbia.

Igor NosekDepartment of Radiology, Faculty of Medicine Novi Sad, University of Novi Sad, Novi Sad, Serbia.

Miloš VukovićDepartment of Radiology, Faculty of Medicine Novi Sad, University of Novi Sad, Novi Sad, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The apparent diffusion coefficient (ADC) is a significant parameter in the diagnosis and monitoring of cervical cancer. The aim of this study is to evaluate ADC values in patients with cervical cancer, post-therapeutic changes, and normal findings, in order to assess their association with clinicopathological parameters, predict therapeutic outcomes, and differentiate residual tumors from post-treatment tissue without residual disease. Methods: A retrospective study included 148 patients divided into three groups: cervical cancer, post-therapeutic changes and normal findings. ADC values were measured by positioning ROI in the target tissue. Statistical analyses included ANOVA, t-tests, and ROC analysis. Results: The mean ADC values for cervical cancer (0.798 × 10 Discussion: ADC proved to be a reliable imaging biomarker for differentiating cervical cancer, post-therapeutic changes, and normal findings, as well as for assessing therapeutic response. It demonstrated significant potential in distinguishing residual tumor tissue from post-treatment changes without residual disease.

Indexed as

ADCcervical cancerchemoradiation therapyDWIFIGOresidual tumor

Identifiers

PMID40994943

DOI10.3389/fonc.2025.1610090

PMCPMC12454087

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.