Evidence map›Paper›PMID 26973399›Full record

Observational studyWorld journal of gastroenterology2016

Predicting liver metastasis of gastrointestinal tract cancer by diffusion-weighted imaging of apparent diffusion coefficient values.

De-Xian Zheng, Shu-Chun Meng, Qing-Jun Liu, Chuan-Ting Li, Xi-Dan Shang, Yu-Seng Zhu, Tian-Jun Bai, Shi-Ming Xu

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in World journal of gastroenterology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  6. Review
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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.

De-Xian ZhengDe-Xian Zheng, Qing-Jun Liu, Tian-Jun Bai, Department of Radiology, Second People's Hospital of Liaocheng City, Liaocheng 252600, Shandong Province, China.
Shu-Chun MengDe-Xian Zheng, Qing-Jun Liu, Tian-Jun Bai, Department of Radiology, Second People's Hospital of Liaocheng City, Liaocheng 252600, Shandong Province, China.
Qing-Jun LiuDe-Xian Zheng, Qing-Jun Liu, Tian-Jun Bai, Department of Radiology, Second People's Hospital of Liaocheng City, Liaocheng 252600, Shandong Province, China.
Chuan-Ting LiDe-Xian Zheng, Qing-Jun Liu, Tian-Jun Bai, Department of Radiology, Second People's Hospital of Liaocheng City, Liaocheng 252600, Shandong Province, China.
Xi-Dan ShangDe-Xian Zheng, Qing-Jun Liu, Tian-Jun Bai, Department of Radiology, Second People's Hospital of Liaocheng City, Liaocheng 252600, Shandong Province, China.
Yu-Seng ZhuDe-Xian Zheng, Qing-Jun Liu, Tian-Jun Bai, Department of Radiology, Second People's Hospital of Liaocheng City, Liaocheng 252600, Shandong Province, China.
Tian-Jun BaiDe-Xian Zheng, Qing-Jun Liu, Tian-Jun Bai, Department of Radiology, Second People's Hospital of Liaocheng City, Liaocheng 252600, Shandong Province, China.
Shi-Ming XuDe-Xian Zheng, Qing-Jun Liu, Tian-Jun Bai, Department of Radiology, Second People's Hospital of Liaocheng City, Liaocheng 252600, Shandong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo determine if efficacy of chemotherapy on liver metastasis of gastrointestinal tract cancer can be predicted by apparent diffusion coefficient (ADC) values of diffusion-weighted imaging (DWI).

methodsIn total, 86 patients with liver metastasis of gastrointestinal tract cancer (156 metastatic lesions) diagnosed in our hospital were included in this study. The maximum diameters of these tumors were compared with each other before treatment, 2 wk after treatment, and 12 wk after treatment. Selected patients were classified as the effective group and the ineffective group, depending on the maximum diameter of the tumor after 12 wk of treatment; and the ADC values at different treatment times between the two groups were compared. Spearman rank correlation was used to analyze the relationship between ADC value and tumor diameter. Receiver operating characteristic curve (ROC curve) was used to analyze the ADC values before treatment to predict the patient's sensitivity and specificity degree of efficacy to the chemotherapy.

resultsThere was no difference in age between the two groups and in maximum tumor diameter before treatment and 2 wk after treatment. However, after 12 wk of treatment, maximum tumor diameter in the effective group was significantly lower than that in the ineffective group (P < 0.05). Before treatment, ADC values in the ineffective group were significantly higher than those in the effective group (P < 0.05). There was no difference in ADC values between the effective and ineffective groups after 2 and 12 wk of treatment. However, ADC values were significantly higher after 2 and 12 wk of treatment compared to before treatment in the effective group (P < 0.05). Spearman rank correlation analysis showed that ADC value before treatment and the reduced percentage of the maximum tumor diameter after 12 wk of treatment were negatively correlated, while the increase in the percentage of the ADC value 12 wk after treatment and the decrease in the percentage of the maximum tumor diameter were significantly positively correlated. The results of the ROC curve showed that ADC value with a chemotherapy ineffective threshold value of 1.14 × 10(-3) mm(2)/s before treatment had a sensitivity and specificity of 94.3% and 76.7%, respectively.

conclusionDWI ADC values can be used to predict the response of patients with liver metastasis of gastrointestinal tract cancer to chemotherapy with high sensitivity and relatively high specificity.

Indexed as

Diffusion Magnetic Resonance ImagingAdultAgedAntineoplastic AgentsArea Under CurveFemaleGastrointestinal NeoplasmsHumansLiver NeoplasmsMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsROC CurveTime FactorsTreatment OutcomeAntineoplastic AgentsChemotherapyGastrointestinal tract cancerLiver metastatic tumorMagnetic resonance imaging

Identifiers

PMID26973399
PMCPMC4779926

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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.