Evidence map›Paper›PMID 41805418›Full record

ArticleRadiology2026

Noninvasive Differentiation of Indolent from Aggressive Renal Neoplasms with MR Fingerprinting Combined with Diffusion/Perfusion MRI.

Sree Harsha Tirumani, Christina J MacAskill, Yilun Sun, Dheeman Futela, Holly Harper, Adam Calaway, Bernd Kuehn, Ke Cheng Liu, Lee Ponsky, Mark Griswold and 2 more

Abstract read
In one paragraph

Article in Radiology, 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

12 authors.

Sree Harsha TirumaniDepartment of Radiology, Case Western Reserve University, 11100 Euclid Ave, Bolwell Bldg, Room B120, Cleveland, OH 44106.ORCID 0000-0002-5288-8916
Christina J MacAskillDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.ORCID 0000-0003-0023-0044
Yilun SunPopulation and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio.ORCID 0000-0002-1341-382X
Dheeman FutelaDepartment of Radiology, Case Western Reserve University, 11100 Euclid Ave, Bolwell Bldg, Room B120, Cleveland, OH 44106.ORCID 0000-0003-0073-375X
Holly HarperDepartment of Pathology, Case Western Reserve University, Cleveland, Ohio.ORCID 0009-0001-2783-0763
Adam CalawayDepartment of Urology, Case Western Reserve University, Cleveland, Ohio.ORCID 0000-0001-6716-3806
Bernd KuehnMR Application Predevelopment, Siemens Healthineers, Erlangen, Germany.
Ke Cheng LiuSiemens Medical Solutions USA, Malvern, Pa.ORCID 0000-0002-6239-1313
Lee PonskyDepartment of Urology, Case Western Reserve University, Cleveland, Ohio.ORCID 0000-0002-1252-3285
Mark GriswoldDepartment of Radiology, Case Western Reserve University, 11100 Euclid Ave, Bolwell Bldg, Room B120, Cleveland, OH 44106.ORCID 0000-0002-3011-6747
Chris A FlaskDepartment of Radiology, Case Western Reserve University, 11100 Euclid Ave, Bolwell Bldg, Room B120, Cleveland, OH 44106.ORCID 0000-0002-1066-333X
Yong ChenDepartment of Radiology, Case Western Reserve University, 11100 Euclid Ave, Bolwell Bldg, Room B120, Cleveland, OH 44106.ORCID 0000-0001-6183-2693

Funding

Development of fast diffusion magnetic resonance fingerprinting of the prostate to avoid unnecessary biopsiesR01CA292091 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI Yong Chen, Leonardo Kayat Bittencourt · 2024 to 2026
$3.2M
Development of Magnetic Resonance Fingerprinting in Kidney for Evaluation of Renal Cell CarcinomaR01CA266702 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI CHEN, YONG, TIRUMANI, SREE HARSHA · 2022 to 2025
$2.0M
NCI NIH HHS R01 CA266702NCI NIH HHS R01 CA292091
6 · The paper itself

Abstract

Background Accurate characterization of tumor grade and aggressiveness for renal neoplasms with noninvasive imaging methods is critical for patient management and outcome. Purpose To evaluate kidney MR fingerprinting (MRF) alone and in combination with diffusion-weighted imaging and arterial spin labeling (ASL) MRI for the diagnosis and characterization of renal neoplasms by assessing its performance in differentiating indolent from aggressive tumors. Materials and Methods Adults with suspected renal cell carcinoma (RCC) were recruited between November 2020 and October 2024 for this prospective proof-of-concept study. Histopathologic grading served as the reference standard, and renal masses were classified into indolent (low-grade or benign) and aggressive (high-grade or unclassified RCCs) types according to their natural biologic behavior. Noncontrast coronal T1 and T2 maps were acquired using breath-hold kidney MRF (two to five sections per participant) at 3.0 T. Respiratory-triggered diffusion-weighted imaging and ASL MRI were further applied to measure the apparent diffusion coefficient (ADC) and renal blood flow (RBF), respectively. Univariable and multivariable analyses were performed to identify parameters that differentiated renal neoplasms and correlated with histopathologic findings. Results Renal neoplasms from 24 participants (mean age, 61 years ± 11 [SD]; 16 female) were characterized as indolent (

Indexed as

Carcinoma, Renal CellDiffusion Magnetic Resonance ImagingKidney NeoplasmsAgedDiagnosis, DifferentialFemaleHumansMaleMiddle AgedNeoplasm GradingPerfusion Magnetic Resonance ImagingProof of Concept StudyProspective Studies

Identifiers

PMID41805418
PMCPMC13335708

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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.