Evidence map›Paper›PMID 25246820›Full record

ArticleKorean journal of radiology

Intratumoral heterogeneity of breast cancer xenograft models: texture analysis of diffusion-weighted MR imaging.

Bo La Yun, Nariya Cho, Mulan Li, Min Hye Jang, So Yeon Park, Ho Chul Kang, Bohyoung Kim, In Chan Song, Woo Kyung Moon

Open access · hybridAbstract read
In one paragraph

Article in Korean journal of radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Bo La YunDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul 110-744, Korea. ; Department of Radiology, Seoul National University Bundang Hospital, Seongnam 463-707, Korea.
Nariya ChoDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul 110-744, Korea.
Mulan LiDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul 110-744, Korea.
Min Hye JangDepartment of Pathology, Seoul National University Bundang Hospital, Seongnam 463-707, Korea.
So Yeon ParkDepartment of Pathology, Seoul National University Bundang Hospital, Seongnam 463-707, Korea.
Ho Chul KangDepartment of Computer Science and Engineering, Seoul National University, Seoul 151-744, Korea.
Bohyoung KimDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 463-707, Korea.
In Chan SongDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul 110-744, Korea.
Woo Kyung MoonDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul 110-744, Korea.
Seoul National University Hospital · KRSeoul National University Bundang Hospital · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate whether there is a relationship between texture analysis parameters of apparent diffusion coefficient (ADC) maps and histopathologic features of MCF-7 and MDA-MB-231 xenograft models. MATERIALS AND

methodsMCF-7 estradiol (+), MCF-7 estradiol (-), and MDA-MB-231 xenograft models were made with approval of the animal care committee. Twelve tumors of MCF-7 estradiol (+), 9 tumors of MCF-7 estradiol (-), and 6 tumors in MDA-MB-231 were included. Diffusion-weighted MR images were obtained on a 9.4-T system. An analysis of the first and second order texture analysis of ADC maps was performed. The texture analysis parameters and histopathologic features were compared among these groups by the analysis of variance test. Correlations between texture parameters and histopathologic features were analyzed. We also evaluated the intraobserver agreement in assessing the texture parameters.

resultsMCF-7 estradiol (+) showed a higher standard deviation, maximum, skewness, and kurtosis of ADC values than MCF-7 estradiol (-) and MDA-MB-231 (p < 0.01 for all). The contrast of the MCF-7 groups was higher than that of the MDA-MB-231 (p = 0.004). The correlation (COR) of the texture analysis of MCF-7 groups was lower than that of MDA-MB-231 (p < 0.001). The histopathologic analysis showed that Ki-67mean and Ki-67diff of MCF-7 estradiol (+) were higher than that of MCF-7 estradiol (-) or MDA-MB-231 (p < 0.05). The microvessel density (MVD)mean and MVDdiff of MDA-MB-231 were higher than those of MCF-7 groups (p < 0.001). A diffuse-multifocal necrosis was more frequently found in MDA-MB-231 (p < 0.001). The proportion of necrosis moderately correlated with the contrast (r = -0.438, p = 0.022) and strongly with COR (r = 0.540, p = 0.004). Standard deviation (r = 0.622, r = 0.437), skewness (r = 0.404, r = 0.484), and kurtosis (r = 0.408, r = 0.452) correlated with Ki-67mean and Ki-67diff (p < 0.05 for all). COR moderately correlated with Ki-67diff (r = -0.388, p = 0.045). Skewness (r = -0.643, r = -0.464), kurtosis (r = -0.581, r = -0.389), contrast (r = -0.473, r = -0.549) and COR (r = 0.588, r = 0.580) correlated with MVDmean and MVDdiff (p < 0.05 for all).

conclusionThe texture analysis of ADC maps may help to determine the intratumoral spatial heterogeneity of necrosis patterns, amount of cellular proliferation and the vascularity in MCF-7 and MDA-MB-231 xenograft breast cancer models.

Indexed as

Diffusion Magnetic Resonance ImagingAnimalsBreast NeoplasmsCell Line, TumorEstradiolFemaleHumansImage Interpretation, Computer-AssistedImmunohistochemistryKi-67 AntigenMCF-7 CellsMiceMice, NudeRadiographyTransplantation, HeterologousEstradiolKi-67 AntigenAnimalBreast neoplasmsComputer-assistedDiffusion magnetic resonance imagingImage interpretation

Identifiers

PMID25246820
PMCPMC4170160
OpenAlexW2014480532

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.