Evidence map›Paper›PMID 40718245›Full record

ArticleCureus2025

MRI-Derived Tumor Characteristics As Prognostic Indicators in Prostate Cancer With Bone Metastases: A Preliminary Study.

Hiroaki Koyama, Ryo Kurokawa, Takuya Fujimoto, Osamu Abe

Abstract read
In one paragraph

Article in Cureus, 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.

  1. Article
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

4 authors.

Hiroaki KoyamaRadiology, Graduate School of Medicine, The University of Tokyo, Tokyo, JPN.
Ryo KurokawaRadiology, Graduate School of Medicine, The University of Tokyo, Tokyo, JPN.
Takuya FujimotoRadiology, Graduate School of Medicine, The University of Tokyo, Tokyo, JPN.
Osamu AbeRadiology, Graduate School of Medicine, The University of Tokyo, Tokyo, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background While magnetic resonance imaging (MRI) is well-established for local assessment of prostate cancer, its prognostic utility in the metastatic setting remains poorly defined. We investigated whether pretreatment MRI findings can predict survival and disease progression in prostate cancer patients with bone metastases. Methods Of the 2,314 patients with pathologically proven prostate cancer between 2014 and 2021 in our hospital, this retrospective study finally included 19 patients with bone metastases who underwent prostate MRI within six months before diagnosis. Clinical and radiological parameters were analyzed, including Gleason score, prostate-specific antigen (PSA) density, clinical T stage, maximum tumor diameter (MTD), and normalized mean apparent diffusion coefficient (nADCmean). Time-dependent receiver operating characteristic curve analysis was used to determine the optimal cut-points for continuous variables with p-values <0.2. Univariate survival and disease progression analyses were performed using the Kaplan-Meier method and the log-rank test. Univariate Cox proportional hazards regression analyses were performed to estimate the hazard ratio. Results The median age was 69 years (range, 54-91 years). Gleason scores were 4 +4 = 8, 4 + 5 = 9, 5 + 4 = 9, and 5 + 5 = 10 in 12, three, three, and one patients, respectively. Median follow-up duration was 45 months. Seven patients died, and 12 experienced disease progression. MTD ≥49 mm was significantly associated with shorter overall survival compared to MTD <49 mm (median survival, 51 vs 95 months; p = 0.015). A higher nADCmean (≥0.19) was a significant prognostic factor for disease progression (p = 0.031). Gleason score, PSA density, and clinical T stage did not significantly discriminate outcomes in this metastatic cohort. Conclusions In prostate cancer patients with bone metastases, larger maximum tumor diameter on pretreatment MRI predicts poorer overall survival and may be more useful than clinical T stage for prognostic stratification. Higher normalized apparent diffusion coefficient (ADC) was associated with disease progression. Histopathological characteristics that raise ADC despite high Gleason score such as relatively low cell density, heterogeneous morphology, and cribriform pattern might have led to this result. These MRI-derived parameters could help guide treatment planning and risk assessment in metastatic prostate cancer. However, further studies are necessary to validate these findings due to the limitation of small sample size in this study.

Indexed as

apparent diffusion coefficientbone metastasismagnetic resonance imagingprognosisprostate cancer

Identifiers

PMID40718245
PMCPMC12296897

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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.