Volume Measurement of Liver Metastases Using Multidetector Computed Tomography: Comparison of Lesion Diameter and Volume segmentation – A Phantom Study

Rothe, Jessica; Steffen, Ingo G.; Lehmkuhl, Lukas; Grieser, Christian; Mußler, A.; Schnapauff, Dirk; Stelter, Lars; Denecke, Timm

doi:10.1055/s-0029-1245814

Cited by 11 publications

(4 citation statements)

References 16 publications

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“…12,17 Although CBCT does not have the objective calibration of the gray scale, because it does not provide Hounsfield units, 39 the reliability of CBCT in the assessment of osseous consolidation has been supported as a standard in histomorphometric references. 13 The method of digital segmentation used in the present study, which has been validated as the best approach, 40 was combined with the imaging elaboration software Amira (Visage Imaging GmbH) for complex anatomic structure 3D reconstruction, mainly owing to its ability to contemporarily visualize the 3 spatial planes when defining the outlines of the lesion. 41 The weaknesses of the present study included the reduced sample size, heterogeneity of the histologic types, and heterogeneity of the patient population.…”

Section: E8mentioning

confidence: 99%

Analysis of Marsupialization of Mandibular Cysts in Improving the Healing of Related Bone Defects

Consolo

Bellini

Melini

et al. 2020

Journal of Oral and Maxillofacial Surgery

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Purpose: Marsupialization, designed to reduce the mandibular cyst volume, has continued to debated regarding its influence on the healing of the related bone cavity. The aim of the present study was to evaluate the 3-dimensional radiographic variation over time in mandibular odontogenic cystic lesions after marsupialization and assess the correlations between these variations and variables that can affect the procedure. Materials and Methods: We planned a retrospective cohort study. The predictor variables were the treatment duration, preoperative volume, patient age, histologic type, and number of preoperative residual bony walls. The outcomes variables were the postoperative volume reduction and the daily reduction rate calculated using computed tomography (CT) from before to after marsupialization using software designed for volumetric reconstruction and measurement of cyst-related bone defects. The descriptive and bivariate statistics were computerized, and the significance level was set at P = .05. Results: The sample included 15 patients (12 men and 3 women; mean age, 51.6; range, 27 to 85 years) affected by keratocysts (n = 6), dentigerous cysts (n = 6), and radicular cysts (n = 3) who had undergone marsupialization. The median duration of marsupialization was 406 days (25th to 75th percentile, 276 to 519). The mean AE standard deviation (SD) pre-and postdecompression volumes were 6,908.27 AE 2,669.058 and 2,468.13 AE 1,343.517 mm 3 , respectively (P < 0.001), and the mean AE SD percentage of reduction was 63.90 AE 13.12%. The volume decrease in the bone defects correlated positively with the treatment duration (P = .009) and preoperative volume (P < .001). However, no correlation was found with the other variables (P > .05) nor between the daily reduction rate and other variables (P > .05).

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Section: E8mentioning

confidence: 99%

Analysis of Marsupialization of Mandibular Cysts in Improving the Healing of Related Bone Defects

Consolo

Bellini

Melini

et al. 2020

Journal of Oral and Maxillofacial Surgery

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“…Across observers, no such differences were observed in volumetric lesion size change measurements ( • " Table 2). Furthermore, the limits of agreement for manually measured lesion size changes were greater than specified in the RECIST 1.1 criteria and in the literature (this study: ± 48.8 %, RECIST -30 to + 20 %, de Hoop [22] 16.4 to 23.8 % for measured lesion size at zero lesion growth, Kostis [10] SD of 18.5 % to 7.47 % of lesion volume change in stable rated pulmonary nodules [15]), which is considered to be a limitation of this study. An increased inter-rater variability might be due to the study design of examining lesion size changes (i. e., variability at baseline and follow-up influences measured lesion Table 2) and deployment of radiologists with different levels of training.…”

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confidence: 48%

Lung, Liver and Lymph Node Metastases in Follow-Up MSCT: Comprehensive Volumetric Assessment of Lesion Size Changes

Wulff

Bolte

Fischer

et al. 2012

Fortschr Röntgenstr

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“…Heterogeneous treatment response, which can be seen in different types of primary cancers and systemic treatments, is not represented by RECIST1.1 [ 62 ]. Additionally, volumetric measurement methods show a higher intra-observer reproducibility compared to RECIST1.1 [ 63 ]. Quantification of total HTL in clinical routine is not routinely performed, and in most cases, tumor load is visually estimated by the radiologist.…”

Section: Discussionmentioning

confidence: 99%

Automatized Hepatic Tumor Volume Analysis of Neuroendocrine Liver Metastases by Gd-EOB MRI—A Deep-Learning Model to Support Multidisciplinary Cancer Conference Decision-Making

Fehrenbach

Xin

Hartenstein

et al. 2021

Cancers

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Background: Rapid quantification of liver metastasis for diagnosis and follow-up is an unmet medical need in patients with secondary liver malignancies. We present a 3D-quantification model of neuroendocrine liver metastases (NELM) using gadoxetic-acid (Gd-EOB)-enhanced MRI as a useful tool for multidisciplinary cancer conferences (MCC). Methods: Manual 3D-segmentations of NELM and livers (149 patients in 278 Gd-EOB MRI scans) were used to train a neural network (U-Net architecture). Clinical usefulness was evaluated in another 33 patients who were discussed in our MCC and received a Gd-EOB MRI both at baseline and follow-up examination (n = 66) over 12 months. Model measurements (NELM volume; hepatic tumor load (HTL)) with corresponding absolute (ΔabsNELM; ΔabsHTL) and relative changes (ΔrelNELM; ΔrelHTL) between baseline and follow-up were compared to MCC decisions (therapy success/failure). Results: Internal validation of the model’s accuracy showed a high overlap for NELM and livers (Matthew’s correlation coefficient (φ): 0.76/0.95, respectively) with higher φ in larger NELM volume (φ = 0.80 vs. 0.71; p = 0.003). External validation confirmed the high accuracy for NELM (φ = 0.86) and livers (φ = 0.96). MCC decisions were significantly differentiated by all response variables (ΔabsNELM; ΔabsHTL; ΔrelNELM; ΔrelHTL) (p < 0.001). ΔrelNELM and ΔrelHTL showed optimal discrimination between therapy success or failure (AUC: 1.000; p < 0.001). Conclusion: The model shows high accuracy in 3D-quantification of NELM and HTL in Gd-EOB-MRI. The model’s measurements correlated well with MCC’s evaluation of therapeutic response.

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Volume Measurement of Liver Metastases Using Multidetector Computed Tomography: Comparison of Lesion Diameter and Volume segmentation – A Phantom Study

Abstract: Manual segmentation and the seed point method for thin CT slices were the methods with the lowest volume differences and intraobserver variation.

Cited by 11 publications

References 16 publications

Analysis of Marsupialization of Mandibular Cysts in Improving the Healing of Related Bone Defects

Analysis of Marsupialization of Mandibular Cysts in Improving the Healing of Related Bone Defects

Lung, Liver and Lymph Node Metastases in Follow-Up MSCT: Comprehensive Volumetric Assessment of Lesion Size Changes

Automatized Hepatic Tumor Volume Analysis of Neuroendocrine Liver Metastases by Gd-EOB MRI—A Deep-Learning Model to Support Multidisciplinary Cancer Conference Decision-Making

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