Evidence map›Paper›PMID 31015171›Full record

ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2019

Volumetric assessment of apparent diffusion coefficient predicts outcome following chemoradiation for cervical cancer.

Jennifer C Ho, Penny Fang, Carlos E Cardenas, Abdallah S R Mohamed, Clifton D Fuller, Pamela K Allen, Priya R Bhosale, Michael M Frumovitz, Anuja Jhingran, Ann H Klopp

Abstract read
In one paragraph

Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. 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

10 authors.

Jennifer C HoDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States.
Penny FangDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States.
Carlos E CardenasDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, United States.
Abdallah S R MohamedDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States.
Clifton D FullerDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States.
Pamela K AllenDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, United States.
Priya R BhosaleDepartment of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, United States.
Michael M FrumovitzDepartment of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States.
Anuja JhingranDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States.
Ann H KloppDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States. Electronic address: aklopp@mdanderson.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

objectiveTo determine the utility of volumetric diffusion weighted imaging (DWI) compared to other clinical factors for predicting recurrence and survival in cervical cancer patients treated with definitive chemoradiation. METHODS AND MATERIALS: We retrospectively studied cervical cancer patients treated with definitive chemoradiation between 2009-2013 at a single institution with a baseline MRI with DWI and 18F-FDG positron emission tomography/computed tomography (FDG-PET) scan. To identify clinical and imaging metrics correlated with survival and recurrence endpoints, variable importance values were calculated from random forest models. To provide clinically relevant threshold values, recursive partitioning analysis dichotomized patients into potential risk groups based on selected metrics. Cox's proportional hazard models assessed the effect of clinical and imaging factors on survival endpoints.

resultsNinety-three patients were included in the analysis (median age 50 years). At a median follow-up of 35.6 months, 32 patients (34%) had disease recurrence. In the best multivariate model including clinical and imaging parameters, 90th percentile ADC < 1.917 was the only significantly associated factor with worse progression free survival (PFS). Overall survival, PFS, and distant metastasis free survival (DMFS) were significantly different between patient groups divided on 90th percentile ADC with threshold of 1.917 × 10

conclusionsVolumetric 90th percentile ADC value of the primary tumor on pretreatment MRI was a significant predictor of PFS and DMFS in cervical cancer patients, independent of established clinical factors and SUV on FDG-PET.

Indexed as

AdultAgedChemoradiotherapyDiffusion Magnetic Resonance ImagingDisease-Free SurvivalFemaleFluorodeoxyglucose F18HumansMiddle AgedNeoplasm Recurrence, LocalPositron-Emission TomographyPositron Emission Tomography Computed TomographyPredictive Value of TestsPrognosisProportional Hazards ModelsRetrospective StudiesFluorodeoxyglucose F18Apparent diffusion coefficientCervical cancerChemoradiationDiffusion weighted imaging

Identifiers

PMID31015171
PMCPMC7309219

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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.