Intra- and inter-observer agreement in the visual interpretation of interim 18F-FDG PET/CT in malignant lymphoma: influence of clinical information

Arimoto, Maya; Nakamoto, Yuji; Higashi, Tatsuya; Ishimori, Takayoshi; Ishibashi, Mana; Togashi, Kaori

doi:10.1177/0284185117751279

Cited by 3 publications

(6 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Visual assessment of 18 F-FDG PET/CT imaging by image specialists such as radiologists and nuclear medicine physicians can make diagnosis of tumor, staging, and response assessment after chemo-or radiotherapy [8]. The subjectivity of visual assessment causes large intra-and inter-observer variations of interpretation in medical imaging [9]. Quantification of imaging is increasingly highlighted to achieve objective interpretation [10].…”

Section: Introductionmentioning

confidence: 99%

Radiomics in Oncological PET/CT: a Methodological Overview

Choi

Paeng

et al. 2019

Nucl Med Mol Imaging

View full text Add to dashboard Cite

Radiomics is a medical imaging analysis approach based on computer-vision. Metabolic radiomics in particular analyses the spatial distribution patterns of molecular metabolism on PET images. Measuring intratumoral heterogeneity via image is one of the main targets of radiomics research, and it aims to build a image-based model for better patient management. The workflow of radiomics using texture analysis follows these steps: 1) imaging (image acquisition and reconstruction); 2) preprocessing (segmentation & quantization); 3) quantification (texture matrix design & texture feature extraction); and 4) analysis (statistics and/or machine learning). The parameters or conditions at each of these steps are effect on the results. In statistical testing or modeling, problems such as multiple comparisons, dependence on other variables, and high dimensionality of small sample size data should be considered. Standardization of methodology and harmonization of image quality are one of the most important challenges with radiomics methodology. Even though there are current issues in radiomics methodology, it is expected that radiomics will be clinically useful in personalized medicine for oncology.

show abstract

Section: Introductionmentioning

confidence: 99%

Radiomics in Oncological PET/CT: a Methodological Overview

Choi

Paeng

et al. 2019

Nucl Med Mol Imaging

View full text Add to dashboard Cite

show abstract

“…Previously reported DS interobserver FDG PET/CT agreement has ranged from 0.35 to 0.87 with evidence for improvements when using a training session prior to data collection. [ 28 – 30 ] We report a slightly higher agreement for OSEM compared to BPL with Kendall coefficient of concordance scores of 0.81 and 0.75, respectively. Our interobserver agreement is at the high end of prior reports which may be attributable to the training session incorporated into our method.…”

Section: Discussionmentioning

confidence: 82%

“…Intraobserver FDG PET/CT visual DS agreement when interpreted with and without clinical information has been reported at 0.48 and 0.62, respectively. [ 30 ] Among our 4 reviewers, the average intraobserver agreement between OSEM and BPL was 0.67 (0.63–0.73) for lesions >1 cm and 0.40 (0.29–0.44) for lesions ≤1 cm (weighted κ ). While our results are similar to prior reports for lesions >1 cm, the intraobserver agreement for lesions ≤1 cm is lower.…”

Section: Discussionmentioning

confidence: 93%

“…However, there is evidence pointing to little impact of clinical information on observer agreement in this context. [30] Further, to ensure observers were interpreting the exact same lesion, a session was saved within the reviewing software annotating lesions for DS assignment which is subject to leading bias. Currently, a mix of PET technologies in practice pose a challenge to clinical care and research.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Bayesian penalized likelihood PET reconstruction impact on quantitative metrics in diffuse large B-cell lymphoma

et al. 2023

View full text Add to dashboard Cite

Evaluate the quantitative, subjective (Deauville score [DS]) and reader agreement differences between standard ordered subset expectation maximization (OSEM) and Bayesian penalized likelihood (BPL) positron emission tomography (PET) reconstruction methods. A retrospective review of 104 F-18 fluorodeoxyglucose PET/computed tomography (CT) exams among 52 patients with diffuse large B-cell lymphoma. An unblinded radiologist moderator reviewed both BPL and OSEM PET/CT exams. Four blinded radiologists then reviewed the annotated cases to provide a visual DS for each annotated lesion. Significant ( P < .001) differences in BPL and OSEM PET methods were identified with greater standard uptake value (SUV) maximum and SUV mean for BPL. The DS was altered in 25% of cases when BPL and OSEM were reviewed by the same radiologist. Interobserver DS agreement was higher for OSEM (>1 cm lesion = 0.89 and ≤1 cm lesion = 0.84) compared to BPL (>1 cm lesion = 0.85 and ≤1 cm lesion = 0.81). Among the 4 readers, average intraobserver visual DS agreement between OSEM and BPL was 0.67 for lesions >1cm and 0.4 for lesions ≤1 cm. F-18 Fluorodeoxyglucose PET/CT of diffuse large B-cell lymphoma reconstructed with BPL has higher SUV values, altered DSs and reader agreement when compared to OSEM. This report finds volumetric PET measurements such as metabolic tumor volume to be similar between BPL and OSEM PET reconstructions. Efforts such as adoption of European Association Research Ltd accreditation should be made to harmonize PET data with an aim at balancing the need for harmonization and sensitivity for lesion detection.

show abstract

“…Images produced by 18 F-FDG PET/CT may be analysed visually or qualitatively by a physician and semiquantitatively or quantitatively by a vast range of parameters and metrics, derived from those images. Qualitative analysis by visual assessment may be sufficient for many routine oncological scenarios, but it is inevitably subjected to intra- and inter-observer variations [4].…”

Section: Introductionmentioning

confidence: 99%

Multiparametric quantitative and texture 18F-FDG PET/CT analysis for primary malignant tumour grade differentiation

Novikov¹

2019

Eur Radiol Exp

View full text Add to dashboard Cite

Background18F-FDG positron emission tomography/computed tomography (PET/CT) is a successfully used imaging modality in oncology. The aim of the study was to investigate a connection of epithelial tumour differentiation grade with both semiquantitative and quantitative metabolic PET data focusing on creation of multiparametric model of tumour grade prediction utilising both standardised uptake value-based and texture-based 18F-FDG PET parameters and to investigate an influence of different image segmentation techniques on these parameters and modelling.Methods18F-FDG PET/CT data from 84 patients with epithelial malignant tumours was retrospectively analysed to create sets of both conventional semiquantitative (based on standardised uptake values), volumetric, and quantitative texture metabolic parameters of primary tumours with four different segmentation techniques.ResultsMost of the calculated volumetric and texture parameters showed to be influenced by segmentation technique. There was no significant difference in values of only three parameters, in all four segmentation methods: homogeneity, energy, and sphericity. Almost every extracted parameter in all segmentation technique subsets showed significant ability to discriminate individual tumour grade versus the subset of remaining two tumour grades. No parameters were able to discriminate all three tumour grades separately simultaneously or without the overlapping of threshold values. Group method of data handling (GMDH) modelling included all the above-mentioned extracted parameters. The highest value to discriminate tumour grade was achieved using ITK-SNAP segmentation, with an accuracy ranging from 91 to 100%.ConclusionsMultiparametric modelling with GMDH utilising both semiquantitative and quantitative texture metabolic PET parameters seems to be an interesting tool for non-invasive malignant epithelial tumours grade differentiation.

show abstract

Intra- and inter-observer agreement in the visual interpretation of interim 18F-FDG PET/CT in malignant lymphoma: influence of clinical information

Cited by 3 publications

References 24 publications

Radiomics in Oncological PET/CT: a Methodological Overview

Radiomics in Oncological PET/CT: a Methodological Overview

Bayesian penalized likelihood PET reconstruction impact on quantitative metrics in diffuse large B-cell lymphoma

Multiparametric quantitative and texture 18F-FDG PET/CT analysis for primary malignant tumour grade differentiation

Contact Info

Product

Resources

About