Evidence map›Paper›PMID 25188594›Full record

ArticleSpine2014

Magnetic resonance perfusion characteristics of hypervascular renal and hypovascular prostate spinal metastases: clinical utilities and implications.

Atin Saha, Kyung K Peck, Eric Lis, Andrei I Holodny, Yoshiya Yamada, Sasan Karimi

Abstract read
In one paragraph

Article in Spine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
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

25 citing papers in PubMed, 43 citations in OpenAlex.

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  9. The role of percutaneous transarterial embolization in the management of spinal bone tumors: a literature review.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2021
    Review
  10. Review
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  15. Diagnosis of spinal lesions using perfusion parameters measured by DCE-MRI and metabolism parameters measured by PET/CT.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2020
    Article
  16. Use of monoexponential diffusion-weighted imaging and diffusion kurtosis imaging and dynamic contrast-enhanced-MRI for the differentiation of spinal tumors.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2020
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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

6 authors at 1 institution in 1 country.

Atin SahaDepartments of *Radiology †Medical Physics; and ‡Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, NY.
Kyung K Peck
Eric Lis
Andrei I Holodny
Yoshiya Yamada
Sasan Karimi
Memorial Sloan Kettering Cancer Center · US

Funding

Summer research experiences for medical students supervised by faculty mentorsR25CA020449 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Charlotte Eielson Ariyan · 1985 to 2026
$6.2M
NCI NIH HHS R25 CA020449
6 · The paper itself

Abstract

STUDY

designA total of 40 patients with spinal metastases from renal cell carcinomas (RCCs) or prostate carcinomas (PCs) were studied using DCE-MRI (dynamic contrast-enhanced magnetic resonance imaging).

objectiveTo evaluate spinal metastases from RCC and PC to assess the sensitivity and specificity of perfusion parameters obtained by quantitative and semiquantitative methods, which would allow for noninvasive discrimination between hypovascular and hypervascular lesions. SUMMARY OF BACKGROUND DATA: Conventional MRI can be inconclusive in assessing diagnostically complex spinal lesions in patients with cancer in whom fibrosis, infarction, edema related to compression fractures, and infection may simulate malignant neoplasm. Conventional MRI is also of limited value in assessing tumor vascularity and identifying hypervascular tumors. DCE-MRI offers an advantage over conventional MRI in that it provides anatomical, physiological, and hemodynamic information about neoplastic lesions.

methodsDCE perfusion parameters: vascular permeability, plasma volume (V(p)), wash-in slope, and peak-enhancement parameter were measured to assess their potential as discriminators of tumor vascularity. A Mann-Whitney U test (at P ≤ 0.01), was performed to quantify and compare significance of perfusion parameters between the 2 groups.

resultsOf the 4 perfusion parameters studied, V(p) was observed to have the largest difference in mean (μ) between PC (μ = 3.29/s) and RCC metastases (μ = 5.92/s). This was followed by the peak-enhancement, vascular permeability, and wash-in parameters. A Mann-Whitney U test showed a significant difference between V(p) values for PC and RCC lesions (P ≤ 0.001). Similarly, peak-enhancement parameter showed a significant difference between the 2 histologies (P ≤ 0.001), as did vascular permeability (P ≤ 0.01). The receiver operating characteristic curve showed that V(p) recorded the highest area under the curve (0.867).

conclusionV(p) was shown to be the best discriminator between spinal metastases from PC and RCC with the mean V(p) of RCC metastasis being 1.8 times that of the PC lesions, thus discriminating between hyper- and hypovascular metastases, which has important clinical implications.

Indexed as

AgedArea Under CurveCarcinomaCarcinoma, Renal CellContrast MediaGadolinium DTPAHumansKidney NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedProstatic NeoplasmsROC CurveSpinal NeoplasmsContrast MediaGadolinium DTPA

Identifiers

PMID25188594
PMCPMC4465934
OpenAlexW2049998096

What OpenQuestion holds

Textmetadata
LicenceTDM
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.