scholarly journals Chest Magnetic Resonance Imaging Decreases Inter-observer Variability of Gross Target Volume for Lung Tumors

2019 ◽  
Vol 9 ◽  
Author(s):  
Laurent Basson ◽  
Hajer Jarraya ◽  
Alexandre Escande ◽  
Abel Cordoba ◽  
Rayyan Daghistani ◽  
...  
2016 ◽  
Vol 41 (3) ◽  
pp. 500-507 ◽  
Author(s):  
Dell P. Dunn ◽  
Olga R. Brook ◽  
Alexander Brook ◽  
Giselle Revah ◽  
Sumayya Jawadi ◽  
...  

2017 ◽  
Vol 131 (S1) ◽  
pp. S47-S49
Author(s):  
S R Teh ◽  
S Ranguis ◽  
P Fagan

AbstractBackground:Studies demonstrate the significance of intra- and inter-observer variability when measuring cerebellopontine angle tumours on magnetic resonance imaging, with measured differences as high as 2 mm.Objective:To determine intra- and inter-observer measurement variability of cerebellopontine angle tumours in a specialised institution.Methods:The magnetic resonance imaging maximal diameter of 12 randomly selected cerebellopontine angle tumours were independently measured by 4 neuroradiologists at a tertiary referral centre using a standard definition for maximal tumour diameter. Average deviation and intraclass correlation were subsequently calculated.Results:Inter-observer difference averaged 0.33 ± 0.04 mm (range, 0.0–0.8 mm). Intra-observer measurements were more consistent than inter-observer measurements, with differences averaging 0.17 mm (95 per cent confidence interval = 0.27–0.06, p = 0.002). Inter-observer reliability was 0.99 (95 per cent confidence interval = 0.97–0.99), suggesting high reliability between the readings.Conclusion:The use of a standard definition for maximal tumour volume provided high reliability amongst radiologists' readings. To avoid oversizing tumours, it is recommended that conservative monitoring be conducted by the same institution with thin slice magnetic resonance imaging scans.


2008 ◽  
Vol 134 (4) ◽  
pp. A-537
Author(s):  
Heiko Fruehauf ◽  
Dieter Menne ◽  
Zsofia Forras-Kaufman ◽  
Elad Kaufman ◽  
Monika A. Kwiatek ◽  
...  

2021 ◽  
Author(s):  
Jie Jiang ◽  
Jinhu Chen ◽  
Wanhu Li ◽  
Yongqing Li ◽  
Yiru Chen ◽  
...  

Abstract Purpose: Tumor bed (TB) delineation based on preoperative magnetic resonance imaging (pre-MRI) fused with postoperative computed tomography (post-CT) were compared to post-CT only to define pre-MRI may aid in improving the accuracy of delineation. Methods and materials: The pre-MRI imaging of 10 patients underwent radiotherapy (RT) after breast conserving surgery (BCS) were reviewed. Post-CT scans were acquired in the same prone position as pre-MRI. Pre-MRI and post-CT automatically match and then manual alignment was given to enhance fusion consistency. 3 radiation oncologists and 2 radiologists delineated the clinical target volume (CTV) for CT-based. The gross target volume (GTV) of pre-MRI-based was determined by the volume of tumor acquired with 6 sequences: T1, T2, T2W-SPAIR, DWI, dyn-eTHRIVE and sdyn-eTHRIVE, expended 10 mm to form the CTV-pre-MRI. Planning target volume (PTV) for each sequence was determined by CTV extended 15 mm, trimmed to 3mm from skin and the breast-chest wall interface. The variability of the TB delineation were developed as follows: the mean volume, conformity index (CI) and dice coefficient (DC). Results: The mean volumes of CTV and PTV delineated with CT were all larger than those with pre-MRI. The lower inter-observer variability was observed from PTV, especially in sdyn-eTHRIVE in all sequences. For each sequence of pre-MRI, all DCs were larger than post-CT, and the largest DC was observed by sdyn-eTHRIVE sequence fusion to post-CT. The overlap for PTV was significantly improved in the pre-MRI-based compared with the CT-based. Conclusions: TB volumes based on pre-MRI were smaller than post-CT with CVS increased. Pre-MRI provided a more precise definition of the TB with observers performed a smaller inter-observer variability than CT. Pre-MRI, especially in sdyn-eTHRIVE sequence, should help in reducing treatment volumes with the improved accuracy of TB delineation of adjuvant RT of breast cancer. Keywords: Breast cancer, radiotherapy, tumor bed, magnetic resonance imaging, computed tomography


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