A novel semi-automatic segmentation protocol for volumetric assessment of alveolar cleft grafting procedures

2017 ◽  
Vol 45 (5) ◽  
pp. 685-689 ◽  
Author(s):  
Nard G. Janssen ◽  
Ruud Schreurs ◽  
Gerhard K.P. Bittermann ◽  
Wilfred A. Borstlap ◽  
Ronald Koole ◽  
...  
Keyword(s):  
Automatic Segmentation ◽  
Alveolar Cleft ◽  
Volumetric Assessment

scholarly journals The effectiveness of mineralized plasmatic matrix in the closure of alveolar clefts with volumetric assessment

2021 ◽  
Vol 9 ◽  
pp. 1
Author(s):  
Padminii Ellapakurthi ◽  
Gotike Siva Prasad Reddy
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cleft Lip ◽  
Alveolar Bone ◽  
Platelet Rich Plasma ◽  
Cone Beam ◽  
Average Percentage ◽  
Alveolar Cleft ◽  
Volumetric Assessment ◽  
Alveolar Bone Grafting

Objectives: The purpose of this study is to assess the effectiveness of mineralized plasmatic matrix in the soft tissue closure of naso-alveolar fistula, to estimate the postoperative bone fill and volume of the graft placed in the alveolar cleft defect using cone-beam computed tomography (CBCT) at 3rd- month and 6th- month. Material and methods: 10 patients, in the age group of 15‑30 years were included in this study. They were diagnosed with unilateral cleft lip and alveolus defects with or without a cleft palate requiring late secondary alveolar bone grafting. Alveolar cleft defects were closed with mineralized plasmatic matrix (MPM), a combination of autogenous iliac bone graft and platelet rich plasma (PRP) and platelet rich fibrin (PRF). Results: The mean defect volume pre-operatively is 0.75 cm3 and at the end of 3rd-month postoperatively is 0.51 cm3 and at 6th-month postoperatively is 0.27 cm3. The average percentage of bone fill between preoperative (A) & 3th- month postoperatively (B) is 33.4% and between 3rd-month (B) and 6th-month post operatively (C) is 49.5%. Conclusions: Utilization of this new matrix (MPM), has shown to be effective in the closure of the cleft defect, oro-nasal fistula and also reduction in the volume of the residual cleft defect seen with sequential cone-beam computed tomography (CBCT) radiographs.

scholarly journals EASE: Clinical Implementation of Automated Tumor Segmentation and Volume Quantification for Adult Low-Grade Glioma

2021 ◽  
Vol 8 ◽  
Author(s):  
Karin A. van Garderen ◽  
Sebastian R. van der Voort ◽  
Adriaan Versteeg ◽  
Marcel Koek ◽  
Andrea Gutierrez ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Automatic Segmentation ◽  
Low Grade Glioma ◽  
Tumor Segmentation ◽  
Low Grade ◽  
Clinical Implementation ◽  
Volumetric Assessment ◽  
Ensure Patient Safety ◽  
Volume Measurements ◽  
The Individual

The growth rate of non-enhancing low-grade glioma has prognostic value for both malignant progression and survival, but quantification of growth is difficult due to the irregular shape of the tumor. Volumetric assessment could provide a reliable quantification of tumor growth, but is only feasible if fully automated. Recent advances in automated tumor segmentation have made such a volume quantification possible, and this work describes the clinical implementation of automated volume quantification in an application named EASE: Erasmus Automated SEgmentation. The visual quality control of segmentations by the radiologist is an important step in this process, as errors in the segmentation are still possible. Additionally, to ensure patient safety and quality of care, protocols were established for the usage of volume measurements in clinical diagnosis and for future updates to the algorithm. Upon the introduction of EASE into clinical practice, we evaluated the individual segmentation success rate and impact on diagnosis. In its first 3 months of usage, it was applied to a total of 55 patients, and in 36 of those the radiologist was able to make a volume-based diagnosis using three successful consecutive measurements from EASE. In all cases the volume-based diagnosis was in line with the conventional visual diagnosis. This first cautious introduction of EASE in our clinic is a valuable step in the translation of automatic segmentation methods to clinical practice.

scholarly journals Whole brain and deep gray matter structure segmentation: Quantitative comparison between MPRAGE and MP2RAGE sequences

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0254597
Author(s):  
Amgad Droby ◽  
Avner Thaler ◽  
Nir Giladi ◽  
R. Matthew Hutchison ◽  
Anat Mirelman ◽  
...  
Keyword(s):  
Brain Tissue ◽  
Neurological Diseases ◽  
Automatic Segmentation ◽  
Brain Structures ◽  
Imaging Biomarkers ◽  
Precentral Gyrus ◽  
Tissue Segmentation ◽  
Whole Brain ◽  
Volumetric Assessment ◽  
Total Brain

Objective T1-weighted MRI images are commonly used for volumetric assessment of brain structures. Magnetization prepared 2 rapid gradient echo (MP2RAGE) sequence offers superior gray (GM) and white matter (WM) contrast. This study aimed to quantitatively assess the agreement of whole brain tissue and deep GM (DGM) volumes obtained from MP2RAGE compared to the widely used MP-RAGE sequence. Methods Twenty-nine healthy participants were included in this study. All subjects underwent a 3T MRI scan acquiring high-resolution 3D MP-RAGE and MP2RAGE images. Twelve participants were re-scanned after one year. The whole brain, as well as DGM segmentation, was performed using CAT12, volBrain, and FSL-FAST automatic segmentation tools based on the acquired images. Finally, contrast-to-noise ratio between WM and GM (CNRWG), the agreement between the obtained tissue volumes, as well as scan-rescan variability of both sequences were explored. Results Significantly higher CNRWG was detected in MP2RAGE vs. MP-RAGE (Mean ± SD = 0.97 ± 0.04 vs. 0.8 ± 0.1 respectively; p<0.0001). Significantly higher total brain GM, and lower cerebrospinal fluid‏ volumes were obtained from MP2RAGE vs. MP-RAGE based on all segmentation methods (p<0.05 in all cases). Whole-brain voxel-wise comparisons revealed higher GM tissue probability in the thalamus, putamen, caudate, lingual gyrus, and precentral gyrus based on MP2RAGE compared with MP-RAGE. Moreover, significantly higher WM probability was observed in the cerebellum, corpus callosum, and frontal-and-temporal regions in MP2RAGE vs. MP-RAGE. Finally, MP2RAGE showed a higher mean percentage of change in total brain GM compared to MP-RAGE. On the other hand, MP-RAGE demonstrated a higher overtime percentage of change in WM and DGM volumes compared to MP2RAGE. Conclusions Due to its higher CNR, MP2RAGE resulted in reproducible brain tissue segmentation, and thus is a recommended method for volumetric imaging biomarkers for the monitoring of neurological diseases.

A novel semi-automatic segmentation method for volumetric assessment of the colon based on magnetic resonance imaging

2015 ◽  
Vol 40 (7) ◽  
pp. 2232-2241 ◽  
Author(s):  
Thomas Holm Sandberg ◽  
Matias Nilsson ◽  
Jakob Lykke Poulsen ◽  
Mikkel Gram ◽  
Jens Brøndum Frøkjær ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Automatic Segmentation ◽  
Segmentation Method ◽  
Resonance Imaging ◽  
Volumetric Assessment

scholarly journals Comparative Volume Analysis of Alveolar Defects by 3D Simulation

2019 ◽  
Vol 8 (9) ◽  
pp. 1401 ◽  
Author(s):  
Pang-Yun Chou ◽  
Rafael Denadai ◽  
Rami R. Hallac ◽  
Sarayuth Dumrongwongsiri ◽  
Wei-Chuan Hsieh ◽  
...  
Keyword(s):  
Bone Graft ◽  
Cleft Lip ◽  
Cleft Lip And Palate ◽  
Alveolar Bone ◽  
Surgical Simulation ◽  
Intraclass Correlation ◽  
Simulation Methods ◽  
Alveolar Cleft ◽  
Surgical Method ◽  
Volumetric Assessment

A precise volumetric assessment of maxillary alveolar defects in patients with cleft lip and palate can reduce donor site morbidity or allow accurate preparation of bone substitutes in future applications. However, there is a lack of agreement regarding the optimal volumetric technique to adopt. This study measured the alveolar bone defects by using two cone-beam computed tomography (CBCT)-based surgical simulation methods. Presurgical CBCT scans from 32 patients with unilateral or bilateral clefts undergoing alveolar bone graft surgery were analyzed. Two hands-on CBCT-based volumetric measurement methods were compared: the 3D real-scale printed model-based surgical method and the virtual surgical method. Different densities of CBCT were compared. Intra- and inter-examiner reliability was assessed. For patients with unilateral clefts, the average alveolar defect volumes were 1.09 ± 0.24 and 1.09 ± 0.25 mL (p > 0.05) for 3D printing- and virtual-based models, respectively; for patients with bilateral clefts, they were 2.05 ± 0.22 and 2.02 ± 0.27 mL (p > 0.05), respectively. Bland–Altman analysis revealed that the methods were equivalent for unilateral and bilateral alveolar cleft defect assessment. No significant differences or linear relationships were observed between adjacent different densities of CBCT for model production to obtain the measured volumes. Intra- and inter-examiner reliability was moderate to good (intraclass correlation coefficient (ICC) > 0.6) for all measurements. This study revealed that the volume of unilateral and bilateral alveolar cleft defects can be equally quantified by 3D-printed and virtual surgical simulation methods and provides alveolar defect-specific volumes which can serve as a reference for planning and execution of alveolar bone graft surgery.

Prediction of lymph node metastase in NSCLC

2010 ◽  
Vol 01 (05) ◽  
pp. 219-226 ◽  
Author(s):  
F. Beyer ◽  
B. Buerke ◽  
J. Gerss ◽  
K. Scheffe ◽  
M. Puesken ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Fdg Pet ◽  
Automatic Segmentation ◽  
Correlation Coefficients ◽  
Mediastinal Lymph Nodes ◽  
Intra Class Correlation ◽  
Axial Diameter ◽  
Pet Ct ◽  
Fdg Pet Ct

SummaryPurpose: To distinguish between benign and malignant mediastinal lymph nodes in patients with NSCLC by comparing 2D and semiautomated 3D measurements in FDG-PET-CT.Patients, material, methods: FDG-PET-CT was performed in 46 patients prior to therapy. 299 mediastinal lymph-nodes were evaluated independently by two radiologists, both manually and by semi-automatic segmentation software. Longest-axial-diameter (LAD), shortest-axial-diameter (SAD), maximal-3D-diameter, elongation and volume were obtained. FDG-PET-CT and clinical/FDG-PET-CT follow up examinations and/or histology served as the reference standard. Statistical analysis encompassed intra-class-correlation-coefficients and receiver-operator-characteristics-curves (ROC). Results: The standard of reference revealed involvement in 87 (29%) of 299 lymph nodes. Manually and semi-automatically measured 2D parameters (LAD and SAD) showed a good correlation with mean

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