Evidence map›Paper›PMID 38912009›Full record

ArticlePhysics and imaging in radiation oncology2024

Interobserver variation in tumor delineation of liver metastases using Magnetic Resonance Imaging.

Julia E Peltenburg, Ali Hosni, Rana Bahij, Simon Boeke, Pètra M Braam, William A Hall, Martijn P W Intven, Luca Nicosia, Jan-Jakob Sonke, Marnix Witte and 2 more

Abstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Julia E PeltenburgDepartment of Radiation Oncology, The Netherlands Cancer Institute, Postal Address: Plesmanlaan 121, 1066CX Amsterdam, The Netherlands.
Ali HosniDepartment of Radiation Oncology, Princess Margaret Cancer Center, Postal Address: 610 University Avenue, Toronto, ON M5G 2M9, Canada.
Rana BahijDepartment of Oncology, Odense University Hospital, Postal Address: J. B. Winsløws Vej 4, 5000 Odense, Denmark.
Simon BoekeDepartment of Radiation Oncology, Tübingen University Hospital, Postal Address: Geissweg 3, 72076 Tübingen, Germany.
Pètra M BraamDepartment of Radiation Oncology, Radboud University Medical Center, Postal Address: Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
William A HallDepartment of Radiation Oncology, Medical College of Wisconsin, Postal Address: 9200 W. Wisconsin Avenue, Milwaukee, WI 53226, USA.
Martijn P W IntvenDepartment of Radiation Oncology, University Medical Center Utrecht, Postal Address: Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
Luca NicosiaDepartment of Radiation Oncology, Sacro Cuore Don Calabria Hospital, Postal Address: Viale Luigi Rizzardi, 4, 37024, Negrar di Valpolicella VR, Italy.
Jan-Jakob SonkeDepartment of Radiation Oncology, The Netherlands Cancer Institute, Postal Address: Plesmanlaan 121, 1066CX Amsterdam, The Netherlands.
Marnix WitteDepartment of Radiation Oncology, The Netherlands Cancer Institute, Postal Address: Plesmanlaan 121, 1066CX Amsterdam, The Netherlands.
Marlies E NoweeDepartment of Radiation Oncology, The Netherlands Cancer Institute, Postal Address: Plesmanlaan 121, 1066CX Amsterdam, The Netherlands.
Tomas JanssenDepartment of Radiation Oncology, The Netherlands Cancer Institute, Postal Address: Plesmanlaan 121, 1066CX Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Magnetic Resonance Imaging (MRI) guided stereotactic body radiotherapy (SBRT) of liver metastases is an upcoming high-precision non-invasive treatment. Interobserver variation (IOV) in tumor delineation, however, remains a relevant uncertainty for planning target volume (PTV) margins. The aims of this study were to quantify IOV in MRI-based delineation of the gross tumor volume (GTV) of liver metastases and to detect patient-specific factors influencing IOV. Materials and methods: A total of 22 patients with liver metastases from three primary tumor origins were selected (colorectal(8), breast(6), lung(8)). Delineation guidelines and planning MRI-scans were provided to eight radiation oncologists who delineated all GTVs. All delineations were centrally peer reviewed to identify outliers not meeting the guidelines. Analyses were performed both in- and excluding outliers. IOV was quantified as the standard deviation (SD) of the perpendicular distance of each observer's delineation towards the median delineation. The correlation of IOV with shape regularity, tumor origin and volume was determined. Results: Including all delineations, average IOV was 1.6 mm (range 0.6-3.3 mm). From 160 delineations, in total fourteen single delineations were marked as outliers after peer review. After excluding outliers, the average IOV was 1.3 mm (range 0.6-2.3 mm). There was no significant correlation between IOV and tumor origin or volume. However, there was a significant correlation between IOV and regularity (Spearman's ρ Conclusion: MRI-based IOV in tumor delineation of liver metastases was 1.3-1.6 mm, from which PTV margins for IOV can be calculated. Tumor regularity and IOV were significantly correlated, potentially allowing for patient-specific margin calculation.

Indexed as

GTVInterobserver variation (IOV)Liver metastasesMRIQuality assurance (QA)Tumor delineation

Identifiers

PMID38912009
PMCPMC11190710

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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.