Evidence map›Paper›PMID 27612171›Full record

ArticlePloS one2016

The Impact of Diffusion-Weighted MRI on the Definition of Gross Tumor Volume in Radiotherapy of Non-Small-Cell Lung Cancer.

Jochen Fleckenstein, Michael Jelden, Stephanie Kremp, Philippe Jagoda, Jonas Stroeder, Fadi Khreish, Samer Ezziddin, Arno Buecker, Christian Rübe, Guenther K Schneider

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. MRI for Lung Cancer Management: Any Closer to Clinical Application?Journal of magnetic resonance imaging : JMRI · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. The lung cancers: staging and response, CT,The British journal of radiology · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

10 authors.

Jochen FleckensteinDepartment of Radiotherapy and Radiation Oncology, Saarland University Medical Center, Homburg, Germany.
Michael JeldenDepartment of Radiotherapy and Radiation Oncology, Saarland University Medical Center, Homburg, Germany.
Stephanie KrempDepartment of Radiotherapy and Radiation Oncology, Saarland University Medical Center, Homburg, Germany.
Philippe JagodaDepartment of Diagnostic and Interventional Radiology, Saarland University Medical Center, Homburg, Germany.
Jonas StroederDepartment of Diagnostic and Interventional Radiology, Saarland University Medical Center, Homburg, Germany.
Fadi KhreishDepartment of Nuclear Medicine, Saarland University Medical Center, Homburg, Germany.
Samer EzziddinDepartment of Nuclear Medicine, Saarland University Medical Center, Homburg, Germany.
Arno BueckerDepartment of Nuclear Medicine, Saarland University Medical Center, Homburg, Germany.
Christian RübeDepartment of Radiotherapy and Radiation Oncology, Saarland University Medical Center, Homburg, Germany.
Guenther K SchneiderDepartment of Diagnostic and Interventional Radiology, Saarland University Medical Center, Homburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study was designed to evaluate diffusion-weighted magnetic resonance imaging (DWI) vs. PET-CT of the thorax in the determination of gross tumor volume (GTV) in radiotherapy planning of non-small-cell lung cancer (NSCLC). MATERIALS AND

methodsEligible patients with NSCLC who were supposed to receive definitive radio(chemo)therapy were prospectively recruited. For MRI, a respiratory gated T2-weighted sequence in axial orientation and non-gated DWI (b = 0, 800, 1,400 and apparent diffusion coefficient map [ADC]) were acquired on a 1.5 Tesla scanner. Primary tumors were delineated on FDG-PET/CT (stGTV) and DWI images (dwGTV). The definition of stGTV was based on the CT and visually adapted to the FDG-PET component if indicated (e.g., in atelectasis). For DWI, dwGTV was visually determined and adjusted for anatomical plausibility on T2w sequences. Beside a statistical comparison of stGTV and dwGTB, spatial agreement was determined with the "Hausdorff-Distance" (HD) and the "Dice Similarity Coefficient" (DSC).

resultsFifteen patients (one patient with two synchronous NSCLC) were evaluated. For 16 primary tumors with UICC stages I (n = 4), II (n = 3), IIIA (n = 2) and IIIB (n = 7) mean values for dwGTV were significantly larger than those of stGTV (76.6 ± 84.5 ml vs. 66.6 ± 75.2 ml, p<0.01). The correlation of stGTV and dwGTV was highly significant (r = 0.995, p<0.001). Yet, some considerable volume deviations between these two methods were observed (median 27.5%, range 0.4-52.1%). An acceptable agreement between dwGTV and stGTV regarding the spatial extent of primary tumors was found (average HD: 2.25 ± 0.7 mm; DC 0.68 ± 0.09).

conclusionThe overall level of agreement between PET-CT and MRI based GTV definition is acceptable. Tumor volumes may differ considerably in single cases. DWI-derived GTVs are significantly, yet modestly, larger than their PET-CT based counterparts. Prospective studies to assess the safety and efficacy of DWI-based radiotherapy planning in NSCLC are warranted.

Indexed as

Tumor BurdenAgedCarcinoma, Non-Small-Cell LungDiffusion Magnetic Resonance ImagingFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingPositron Emission Tomography Computed TomographyThorax

Identifiers

PMID27612171
PMCPMC5017760

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.