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

OBJECTIVE: Cervical 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. METHODS: ). RESULTS: (median 8.0), whereas other compartments remained near zero. CONCLUSIONS: RSI 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.

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Publication Details

Journal
Magnetic Resonance Imaging
Published
2026-04-16
DOI
https://doi.org/10.1016/j.mri.2026.110692
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Joshua Kuperman, Elin Lundström, Michael Hahn, Cynthia Santillan et al.
Magnetic Resonance Imaging
Endometrial and Cervical Cancer Treatments
article

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

Joshua Kuperman, Elin Lundström, Michael Hahn, Cynthia Santillan, Stephan Jordan, Alexandra Schlein, Christopher R. Weil, Ana E. Rodríguez‐Soto, Sheida Ebrahimi, GAIANE M. RAUCH, Alexandra H. Besser, Rebecca Rakow-Penner, Jyoti Mayadev, Christopher Conlin, Michael McHale, Anders Dale, Tyler M. Seibert, Jingjing Zuo
article en

Abstract

OBJECTIVE: Cervical 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. METHODS: ). RESULTS: (median 8.0), whereas other compartments remained near zero. CONCLUSIONS: RSI 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.

Magnetic Resonance ImagingVol. 131
J. Craig Venter Institute (US), Uppsala University Hospital (SE), The University of Texas MD Anderson Cancer Center (US), University of California San Diego (US), Human Longevity (United States) (US), La Jolla Bioengineering Institute (US)
General Electric, Vetenskapsrådet, National Institutes of Health, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 24%
Endometrial and Cervical Cancer Treatments
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