Evidence map›Paper›PMID 32049838›Full record

ArticleMedicine2020

Computed tomography texture analysis for assessment of chemotherapy response of Hodgkin lymphoma.

Christian Philipp Reinert, Larissa Wanek, Hans Bösmüller, Birgit Federmann, Jan Fritz, Martin Sökler, Marius Horger

Abstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Texture Analysis Improves the Value of PretreatmentContrast media & molecular imaging · 2020
    Article
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

7 authors.

Christian Philipp ReinertDepartment of Diagnostic and Interventional Radiology.
Larissa WanekDepartment of Diagnostic and Interventional Radiology.
Hans BösmüllerInstitute of Pathology, University Hospital of Tübingen, Tübingen, Germany.
Birgit FedermannInstitute of Pathology, University Hospital of Tübingen, Tübingen, Germany.
Jan FritzJohns Hopkins University School of Medicine, Russell H. Morgan Department of Radiology and Radiological Science, Baltimore, MD.
Martin SöklerDepartment of Internal Medicine II, University Hospital of Tübingen, Tübingen, Germany.
Marius HorgerDepartment of Diagnostic and Interventional Radiology.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to test the hypothesis that computed tomography texture analysis (CTTA) is accurate for response assessment of Hodgkin lymphoma (HL).A total of 100 patients with HL were identified. CTTA in baseline and interim staging was performed generating volume of interests in lymphoma tissue from which CTTA features including 1st, 2nd, and higher order textural features were extracted. Baseline and interim 2-deoxy-fluor-glucose positron emission tomography results were used to determine therapy response and compared to CTTA in terms of patient outcome.At interim, 1st-order features yielded a significant drop (e.g., entropy of heterogeneity, P = .01) or a significant rise (deviation, P < .001), whereas 2nd and higher order features decreased (e.g., entropy of co-occurrence matrix, P < .001). Patients achieving complete remission at end of treatment had a significantly lower entropy of heterogeneity at baseline and interim compared to patients achieving partial remission (P < .05).CT textural features change in parallel to metabolic therapy response, and are therefore a feasible diagnostic tool for a more accurate response assessment of HL.

Indexed as

Fluorodeoxyglucose F18AdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsFemaleHodgkin DiseaseHumansMaleMiddle AgedPositron Emission Tomography Computed TomographyRetrospective StudiesYoung AdultFluorodeoxyglucose F18

Identifiers

PMID32049838
PMCPMC7035051

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Registered trials

None linked

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.