Evidence map›Paper›PMID 28083695›Full record

ArticleEuropean radiology2017

Serial assessment of pulmonary lesion volume by computed tomography allows survival prediction in invasive pulmonary aspergillosis.

J J Vehreschild, C P Heussel, A H Groll, M J G T Vehreschild, G Silling, G Würthwein, M Brecht, O A Cornely

Abstract read
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In one paragraph

Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Refractory versus resistant invasive aspergillosis.The Journal of antimicrobial chemotherapy · 2025
    Review
  3. Article
  4. Observational
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  10. How Long Do We Need to Treat an Invasive Mold Disease in Hematology Patients? Factors Influencing Duration of Therapy and Future Questions.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. [Fungal infections].Der Internist · 2019
    Review
  16. Invasive Fungal Infection.Deutsches Arzteblatt international · 2019
    Review
  17. Review
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 at 5 institutions in 1 country.

J J VehreschildDepartment I of Internal Medicine, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany. janne.vehreschild@ctuc.de.ORCID http://orcid.org/0000-0002-5446-7170
C P HeusselDiagnostic and Interventional Radiology with Nuclear Medicine, Chest Clinic at University Hospital Heidelberg, Heidelberg, Germany.
A H GrollInfectious Disease Research Program, Department of Paediatric Haematology/Oncology, University Children's Hospital, Muenster, Germany.
M J G T VehreschildDepartment I of Internal Medicine, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
G SillingDepartment of Medicine A, Haematology/Oncology, University of Muenster, Muenster, Germany.
G WürthweinCentre for Clinical Trials, ZKS Muenster (BMBF 01KN1105), University Hospital Muenster, Muenster, Germany.
M BrechtDiagnostic and Interventional Radiology with Nuclear Medicine, Chest Clinic at University Hospital Heidelberg, Heidelberg, Germany.
O A CornelyDepartment I of Internal Medicine, University Hospital of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
German Center for Infection Research · DEHeidelberg University · DEUniversity Hospital Münster · DEUniversity of Cologne · DEUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSerial chest CT is the standard of care to establish treatment success in invasive pulmonary aspergillosis (IPA). Data are lacking how response should be defined.

methodsDigital CT images from a clinical trial on treatment of IPA were re-evaluated and compared with available biomarkers. Total volume of pneumonia was added up after manual measurement of each lesion, followed by statistical analysis.

resultsOne-hundred and ninety CT scans and 309 follow-up datasets from 40 patients were available for analysis. Thirty-one were neutropenic. Baseline galactomannan (OR 4.06, 95%CI: 1.08-15.31) and lesion volume (OR 3.14, 95%CI: 0.73-13.52) were predictive of death. Lesion volume at d7 and trend between d7 and d14 were strong predictors of death (OR 20.01, 95%CI: 1.42-282.00 and OR 15.97, 95%CI: 1.62-157.32) and treatment being rated as unsuccessful (OR 4.75, 95%CI: 0.94-24.05 and OR 40.69, 95%CI: 2.55-649.03), which was confirmed by a Cox proportional hazards model using time-dependent covariates.

conclusionAny increase in CT lesion volume between day 7 and day 14 was a sensitive marker of a lethal outcome (>50%), supporting a CT rescan each one and 2 weeks after initial detection of IPA. The predictive value exceeded all other biomarkers. Further CT follow-up after response at day 14 was of low additional value. KEY POINTS: • CT evaluation offers good prediction of outcome for invasive pulmonary aspergillosis. • Predictive capability exceeds galactomannan, blood counts, and lesion count. • Any progression between day 7 and day 14 constitutes a high-risk scenario.

Indexed as

AdultAgedDisease ProgressionFemaleGalactoseHumansImage Interpretation, Computer-AssistedInvasive Pulmonary AspergillosisMaleMannansMiddle AgedPneumoniaPredictive Value of TestsSurvival AnalysisTomography, X-Ray ComputedgalactomannanGalactoseMannansBiomarkersCaspofunginComputed tomographyInvasive pulmonary aspergillosisSurvival

Identifiers

PMID28083695
OpenAlexW2574025331

What OpenQuestion holds

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Read underepoch 390

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.