Evidence map›Paper›PMID 31729974›Full record

ArticleBMC cancer2019

Whole lesion histogram analysis of apparent diffusion coefficients on MRI predicts disease-free survival in locally advanced squamous cell cervical cancer after radical chemo-radiotherapy.

Bo Zhao, Kun Cao, Xiao-Ting Li, Hai-Tao Zhu, Ying-Shi Sun

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 22 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

5 authors at 2 institutions in 1 country.

Bo ZhaoDepartment of Radiology, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University Cancer Hospital and Institute, No. 52 Fucheng Rd, Haidian District, Beijing, 100142, China.
Kun CaoDepartment of Radiology, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University Cancer Hospital and Institute, No. 52 Fucheng Rd, Haidian District, Beijing, 100142, China. kun-cao@hotmail.com.
Xiao-Ting LiDepartment of Radiology, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University Cancer Hospital and Institute, No. 52 Fucheng Rd, Haidian District, Beijing, 100142, China.
Hai-Tao ZhuDepartment of Radiology, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University Cancer Hospital and Institute, No. 52 Fucheng Rd, Haidian District, Beijing, 100142, China.
Ying-Shi SunDepartment of Radiology, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University Cancer Hospital and Institute, No. 52 Fucheng Rd, Haidian District, Beijing, 100142, China. sys27@163.com.
Peking University · CNPeking University Cancer Hospital · CN

Funding

Natural Science Foundation of China 81402167
6 · The paper itself

Abstract

backgroundThe aim was to investigate the prognostic value of MR apparent diffusion coefficients (ADC) using histogram analysis (HA) in predicting disease-free survival (DFS) of cervical cancer after chemo-radiation therapy.

methodsWe retrospectively analyzed 103 women with pathologically proven squamous cell uterine cancer who received chemo-radiation therapy between 2009 and 2013. All patients were followed up for more than 2 years. Pre-treatment MR images were retrieved and imported for HA using an in-house developed software program based on 3D Slicer. Regions of interest of whole tumors were drawn manually on DWI with reference to T2WI. HA features (mean, max, min, 50, 10, 90%, kurtosis, and skewness) were extracted from apparent diffusion coefficient (ADC) maps and compared between the recurrence and non-recurrence groups after the 2-year follow-up. Univariate and multivariate Cox regression analysis was used to correlate ADC HA features and relevant clinical variables (age, grade, maximal diameter of tumor, FIGO stage, SCC-Ag) with DFS.

resultsOne hundred three patients with stage IB-IV cervical cancers were followed up for 2.0-94.6 months (median 48.9 months). Twenty patients developed recurrence within 2 years. In the recurrence group, the min (P = 0.001) and 10% (P = 0.048) ADC values were significantly lower than those of the non-recurrence group. Univariate and multivariate Cox regression analysis revealed that ADC

conclusionPre-treatment volumetric ADC

Indexed as

AdultAgedCarcinoma, Squamous CellChemoradiotherapyDiffusion Magnetic Resonance ImagingDisease-Free SurvivalFemaleHumansMiddle AgedNeoplasm Recurrence, LocalRetrospective StudiesSurvival RateUterine Cervical NeoplasmsDiffusion-weighted MRISurvivalUterine cervical neoplasm

Identifiers

PMID31729974
PMCPMC6858752
OpenAlexW2983777774

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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.