Evidence map›Paper›PMID 24816938›Full record

Trial reportEuropean radiology2014

Evaluating the agreement between tumour volumetry and the estimated volumes of tumour lesions using an algorithm.

Ruediger P Laubender, Julia Lynghjem, Melvin D'Anastasi, Volker Heinemann, Dominik P Modest, Ulrich R Mansmann, Ute Sartorius, Michael Schlichting, Anno Graser

Abstract readClinical Trial, Phase IIComparative StudyMulticenter Study
PubMed Publisher
In one paragraph

Trial report in European radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. An evaluation of the role of tumor load in cytoreductive nephrectomy.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2020
    Article
  5. Article
  6. 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

9 authors at 4 institutions in 1 country.

Ruediger P LaubenderGerman Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
Julia Lynghjem
Melvin D'Anastasi
Volker Heinemann
Dominik P Modest
Ulrich R Mansmann
Ute Sartorius
Michael Schlichting
Anno Graser
München Klinik · DEMerck (Germany) · DEGerman Cancer Research Center · DEZimmer Biomet (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the agreement between tumour volume derived from semiautomated volumetry (SaV) and tumor volume defined by spherical volume using longest lesion diameter (LD) according to Response Evaluation Criteria In Solid Tumors (RECIST) or ellipsoid volume using LD and longest orthogonal diameter (LOD) according to World Health Organization (WHO) criteria. MATERIALS AND

methodsTwenty patients with metastatic colorectal cancer from the CIOX trial were included. A total of 151 target lesions were defined by baseline computed tomography and followed until disease progression. All assessments were performed by a single reader. A variance component model was used to compare the three volume versions.

resultsThere was a significant difference between the SaV and RECIST-based tumour volumes. The same model showed no significant difference between the SaV and WHO-based volumes. Scatter plots showed that the RECIST-based volumes overestimate lesion volume. The agreement between the SaV and WHO-based relative changes in tumour volume, evaluated by intraclass correlation, showed nearly perfect agreement.

conclusionsEstimating the volume of metastatic lesions using both the LD and LOD (WHO) is more accurate than those based on LD only (RECIST), which overestimates lesion volume. The good agreement between the SaV and WHO-based relative changes in tumour volume enables a reasonable approximation of three-dimensional tumour burden. KEY POINTS: • Tumour response in patients undergoing chemotherapy is assessed using CT images • Measurements are based on RECIST (unidimensional)-based or WHO (bidimensional)-based criteria • We calculated tumour volume from bidimensional target lesion measurements • This formula provides good tumour volume approximation, based on semiautomated volumetry.

Indexed as

AlgorithmsAdultAgedAntineoplastic AgentsColorectal NeoplasmsDisease ProgressionDrug Therapy, CombinationFemaleFollow-Up StudiesHumansMaleMiddle AgedObserver VariationReproducibility of ResultsRetrospective StudiesTomography, X-Ray ComputedAntineoplastic Agents

Identifiers

PMID24816938
OpenAlexW2007443781

What OpenQuestion holds

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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.