P–319 Measuring intraobserver and intermethod reliability of endometriotic cyst volumes: a comparison between MRI and 3D transvaginal ultrasound

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
J Bergwerff ◽  
A M F Schreurs ◽  
M C I Lier ◽  
J H T M Va. Waesberghe ◽  
L E E Va. de. Houwen ◽  
...  

Abstract Study question Are three-dimensional imaging techniques, MRI and three-dimensional transvaginal ultrasound reliable for the volume measurement of endometriotic cysts? Summary answer MRI and XI VOCAL 3D-transvaginal ultrasound both provide a very good intraobserver reliability. The imaging techniques are however not advised to be used interchangeably. What is known already Two-dimensional transvaginal ultrasound (2D-TVUS) and MRI are commonly used in endometriosis care. However, three-dimensional ultrasound (3D-US) has gained more attention in recent years. The use of 3D-US, more specifically VOCAL and XI VOCAL software has proven to be a reliable tool in the measurement of volumes such as splenic volumes and uterine niche volumes. Up to date, 3D-TVUS has not been evaluated for volume measurements in endometrioma. Study design, size, duration A prospective case-control study was performed in an academic endometriosis centre. In total, 23 endometriosis cysts from 16 patients were included. Participants/materials, setting, methods Women diagnosed with endometriosis through laparoscopy with histological confirmation presenting with uni- or bilateral endometrioma on TVUS were included in this study. All women had a regular menstrual cycle (28 days ± 3 days). Women were seen for examinations at two time points during one menstrual cycle: on cycle day 2–4 (T0) and cycle day 20–22 (T1). At both time points a 2D and 3D TVUS and an MRI at 1,5T were performed. Main results and the role of chance The intraclass correlation for intraobserver reliability is good to very good for all three techniques ranging from the lowest value of 0.953 to the highest of 1.000. MRI has the most narrow limits of agreement (–3.93 to 4.53), followed by XI VOCAL (–5.16 – 5.65) while VOCAL has the widest limits of agreement (–10.22 to 11.39). Intraclass correlations are poor in the comparison of XI VOCAL to MRI, moderate between VOCAL and XI VOCAL, and good for the comparison between VOCAL and MRI. The limits of agreement are widest for XI VOCAL versus MRI (–36.96 –10.54). Similar limits of agreement are found between VOCAL versus XI VOCAL (–7.80 –23.40) as between VOCAL versus MRI (–18.27–8.96). Limitations, reasons for caution No absolute volume measurements were obtained during subsequent surgery to compare the imaging data to. This makes it more difficult to determine an acceptable error margin for the 3D imaging techniques used. Wider implications of the findings: Being able to determine (small) volumetric changes in endometrioma can give more insight into the development and circumstances under which endometrioma grow or decrease in size. For reliable and accurate follow up of endometrioma a single measuring technique must be used as three-dimensional imaging techniques are not interchangeable. Trial registration number Trial NL2106 (NTR2223)

2019 ◽  
Vol 19 (04) ◽  
pp. 1950027
Author(s):  
TIANYA LIU ◽  
YUXING WANG ◽  
XIAOYU LIU ◽  
LAN YUAN ◽  
DEYU LI ◽  
...  

Understanding alveolar mechanics is important for preventing the possible lung injuries during mechanical ventilation. Alveolar clusters with smaller size are found having lower compliance in two-dimensional studies. But the influence of alveolar shape on compliance is unclear. In order to investigate how alveolar morphology affects their behavior, we tracked subpleural alveoli of isolated mouse lungs during quasi-static ventilation using two- and three-dimensional imaging techniques. Results showed that alveolar clusters with smaller size and more spherical shape had lower compliance. There was a better correlation of sphericity rather than circularity with alveolar compliance. The compliance of clusters with great shape change was larger than that with relatively slight shape change. These findings suggest the contribution of lung heterogeneous expansion to lung injuries associated with mechanical ventilation.


2015 ◽  
Vol 23 (2) ◽  
pp. 171-177 ◽  
Author(s):  
Eduardo M. Suero ◽  
Nael Hawi ◽  
Musa Citak ◽  
Sebastian Decker ◽  
Julia Brandes ◽  
...  

2017 ◽  
Vol 77 ◽  
pp. 27-38 ◽  
Author(s):  
Michael P. Kelly ◽  
Houri K. Vorperian ◽  
Yuan Wang ◽  
Katelyn K. Tillman ◽  
Helen M. Werner ◽  
...  

2012 ◽  
Vol 30 (4_suppl) ◽  
pp. 635-635 ◽  
Author(s):  
Ruediger P. Laubender ◽  
Michael Schlichting ◽  
Ute Sartorius ◽  
Dominik Paul Modest ◽  
Ulrich Robert Mansmann ◽  
...  

635 Background: Tumor lesions are commonly evaluated by RECIST or WHO criteria, which involves reducing the development of a three-dimensional tumor to a two-dimensional process. However, volume measurements might reflect the clinical impact of the disease process more precisely. Therefore, we investigated if the volume of a tumor lesion can be reconstructed from RECIST- or WHO-based measurements. Methods: 20 colorectal cancer patients underwent routine staging MDCT examinations as part of the multicenter phase II CIOX trial comparing cetuximab + XELOX versus cetuximab + XELIRI. Two hepatic target lesions per patient were defined at baseline and measured using 1) semi-automated volumetry (Siemens Syngo Via Oncology, Siemens Healthcare) with manual correction and 2) semi-automated measurement of the longest diameter (LD) according to RECIST 1.1 and the corresponding longest orthogonal diameter (LOD). Patient lesions were followed over time using the same measurement strategies. An algorithm was developed for reconstructing the volume of a lesion based on the LD and the corresponding LOD. Agreement of the volume data generated by both methods was analyzed by a Bland-Altman plot. The limits of agreements were calculated using a variance components model considering repeated tumor assessments based on the log-transformed sum over the volume of a patient’s lesions. Results: 151 lesions from the 20 patients were measured at 73 tumor assessments. Volume was slightly overestimated by the algorithm compared to the volumetric measurements (p = 0.07). The Bland-Altman plot showed good agreement (mean difference −0.05, limits of agreement [−0.40, 0.30]). As expected, three out of the 73 measurements fell outside the limits of agreement. Conclusions: The proposed algorithm for the WHO-based reconstruction of the tumor volume provides a good approximation to the true sum of the volumes of the lesions. In future studies, volumetric tumor information can be included even if not all centers have full volumetric software available. This enables further research on the impact of changes in tumor volume on disease prognosis and/or prediction of treatment efficacy.


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