Evidence map›Paper›PMID 41999796›Full record

ArticleMagnetic resonance imaging2026

Development and evaluation of a cervical cancer-specific restriction spectrum imaging (RSI) model.

Ana E Rodríguez-Soto, Christopher Conlin, Jingjing Zou, Sheida Ebrahimi, Alexandra Besser, Stephan Jordan, Alexandra Schlein, Elin Lundström, Joshua Kuperman, Anders Dale and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Ana E Rodríguez-SotoDepartment of Radiology, University of California San Diego, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA. Electronic address: a6rodriguezsoto@health.ucsd.edu.
Christopher ConlinDepartment of Radiology, University of California San Diego, La Jolla, CA, USA.
Jingjing ZouHerbert Wetheim School of Public Health & Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
Sheida EbrahimiDepartment of Radiology, University of California San Diego, La Jolla, CA, USA.
Alexandra BesserDepartment of Radiology, University of California San Diego, La Jolla, CA, USA.
Stephan JordanDepartment of Radiology, University of California San Diego, La Jolla, CA, USA.
Alexandra SchleinDepartment of Radiology, University of California San Diego, La Jolla, CA, USA.
Elin LundströmDepartment of Radiology, University of California San Diego, La Jolla, CA, USA; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden; Center for Medical Imaging, Uppsala University Hospital, Uppsala, Sweden.
Joshua KupermanDepartment of Radiology, University of California San Diego, La Jolla, CA, USA.
Anders DaleJ. Craig Venter Institute, La Jolla, CA, USA.
Tyler SeibertDepartment of Radiology, University of California San Diego, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA; Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA; Department of Urology, University of California San Diego, La Jolla, CA, USA.
Michael HahnDepartment of Radiology, University of California San Diego, La Jolla, CA, USA.
Cynthia S SantillanDepartment of Radiology, University of California San Diego, La Jolla, CA, USA.
Christopher R WeilDepartment of Radiation Oncology, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Gaiane M RauchDepartment of Abdominal Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jyoti MayadevDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA.
Michael McHaleDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.
Rebecca Rakow-PennerDepartment of Radiology, University of California San Diego, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
Advanced diffusion MRI for evaluating early response to radiation treatment in cervical cancerR37CA249659 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Rebecca Ann Rakow-Penner · 2021 to 2026
$3.8M
NCATS NIH HHS UL1 TR001442NCI NIH HHS R37 CA249659
6 · The paper itself

Abstract

objectiveCervical cancer is the fourth most common cause of cancer and cancer related mortality among women worldwide. MRI is standard of care for cervical cancer staging. The objective of this project is to evaluate the feasibility and performance of an advanced diffusion-weighted imaging (DWI) MRI technique for cervical cancer.

methodsForty-four patients with cervical cancer and 22 healthy volunteers underwent 3 T pelvic MRI with reduced field-of-view (FOV) multi-shell diffusion-weighted imaging (DWI; b = 0-3000 s/mm

resultsThe tetra-exponential model achieved the highest CNR, with only a 6% BIC increase relative to the bi-exponential model. In an independent cohort, CNR was significantly higher in restricted compartments C

conclusionsRSI with Z-score mapping improved cervical cancer conspicuity compared with ADC, producing interpretable maps that localized tumor signal to restricted diffusion compartments. Based on BIC and CNR, the tetra-exponential RSI model was optimal, supporting RSI as a feasible non-contrast imaging strategy for cervical cancer evaluation.

Indexed as

Diffusion Magnetic Resonance ImagingUterine Cervical NeoplasmsAdultAgedAlgorithmsBayes TheoremCervix UteriFeasibility StudiesFemaleHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMiddle AgedReproducibility of ResultsSignal-To-Noise RatioCervical cancerDiffusion-weighted imagingRestriction spectrum imagingTumor conspicuity

Identifiers

PMID41999796
PMCPMC13367980

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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.