Evidence map›Paper›PMID 29152548›Full record

ArticleBladder cancer (Amsterdam, Netherlands)2017

Quantitative Assessment of Heterogeneity in Bladder Tumor MRI Diffusivity: Can Response be Predicted Prior to Neoadjuvant Chemotherapy?

Huyen T Nguyen, Amir Mortazavi, Kamal S Pohar, Debra L Zynger, Lai Wei, Zarine K Shah, Guang Jia, Michael V Knopp

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bladder cancer (Amsterdam, Netherlands), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 43 citations in OpenAlex.

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  19. VI-RADS score system - A primer for urologists.International braz j urol : official journal of the Brazilian Society of Urology
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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

8 authors at 2 institutions in 1 country.

Huyen T NguyenDepartment of Radiology, Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA.
Amir MortazaviDepartment of Internal Medicine, The Ohio State University, Columbus, OH, USA.
Kamal S PoharDepartment of Urology, The Ohio State University, Columbus, OH, USA.
Debra L ZyngerDepartment of Pathology, The Ohio State University, Columbus, OH, USA.
Lai WeiCenter for Biostatistics, The Ohio State University, Columbus, OH, USA.
Zarine K ShahDepartment of Radiology, Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA.
Guang JiaDepartment of Radiology, Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA.
Michael V KnoppDepartment of Radiology, Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA.
The Ohio State University · USPennington Biomedical Research Center · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
NCI NIH HHS P30 CA016058
6 · The paper itself

Abstract

backgroundIt is a critical unmet need to predict chemosensitivity in muscle-invasive bladder cancer patients who receive neoadjuvant chemotherapy (NAC). Quantification of tumor heterogeneity has been shown to be useful in the assessment of therapeutic response. Apparent diffusion coefficient (ADC) is derived from diffusion weighted MRI (DWI) to quantify the water diffusivity which characterizes micro-cellularity in tumor tissues.

objectiveThe aim of this study is to assess if a quantitative measurement of ADC heterogeneity in bladder tumors can be a predictor of therapeutic response to NAC. MATERIALS AND

methodsTwenty patients with pT2 bladder cancer have been included in this study. Patient MRI was performed on a 3T system with DWI prior to NAC. Regions of interest (ROIs) were placed over the whole tumor volume on ADC maps to acquire a data matrix of voxel-wise ADC values for each patient. We performed histogram analysis on each ADC data matrix to calculate uniformity (U) and entropy (E). These quantities were subsequently correlated with the patient's response to chemotherapy. Statistical significance was found with

resultsFifteen patients were categorized as responders, and five as non-responders. The data showed that tumors of responders were significantly higher in U (

conclusionsThis study demonstrates that the quantitative readout of tumor heterogeneity in micro-cellularity is associated with the patient's defined response to chemotherapy. Quantification of tumor ADC heterogeneity may provide useful information to enable the prediction of chemotherapeutic response prior to the treatment to improve patient outcomes.

Indexed as

Bladder cancerchemotherapeutic responsediffusion-weighted imagingmicro-cellularitytumor heterogeneitywater diffusivity

Identifiers

PMID29152548
PMCPMC5676757
OpenAlexW2762726176

What OpenQuestion holds

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LicenceCC BY-NC
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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.