scholarly journals Measuring Heterogeneity in 18F-Fluorodeoxyglucose Positron Emission Tomography Images for Classifying Metastatic and Benign Bone Lesions in Patients with Cervical Cancer

2021 ◽  
Author(s):  
Feng-Yuan Liu ◽  
Gigin Lin ◽  
Jing-Ren Tseng ◽  
Angel Chao ◽  
Huei-Jean Huang ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Positron Emission Tomography ◽  
Performance Measure ◽  
Multiple Hypothesis Testing ◽  
Emission Tomography ◽  
Validation Dataset ◽  
Bone Lesions ◽  
First Order ◽  
Positron Emission

Abstract Purpose Heterogeneity assessment can be applied for medical imaging analysis. Here, we evaluated first-order and texture analysis (TA) metrics in 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) imaging for classification of metastatic and benign bone lesions in patients with cervical cancer. Methods The data of 18F-FDG PET studies performed on a specific PET/CT system from 2016 to 2018 in patients with cervical cancer were retrieved. The data of bone lesions extracted from studies over 2016–2017 and 2018 were used as training and validation datasets, respectively. Metastatic bone lesions were identified in each dataset, with an equal number of benign bone lesions selected. Cuboid volume of interest (VOI) consisting of 3 × 3 × 5 reconstructed voxels was applied for first-order metrics, and cubic VOI consisting of smaller voxels with trilinear interpolation of standardized uptake value (SUV) was adopted for TA metrics. First-order metrics included the maximum SUV (SUVmax) of lesions and the mean voxel SUV and its standard deviation (SUVsd), skewness, and kurtosis in VOI. In total, 4464 TA metrics based on 62 texture features were evaluated. Logistic regression was used for classification with area under the receiver operating characteristic curve (AUC) as the performance measure. Results From the training and validation datasets, 98 and 42 metastatic bone lesions were identified, respectively. SUVsd demonstrated higher performance than did SUVmax in both the training (AUC .798 vs .732, P = .001) and validation (AUC .786 vs .684, P < .001) datasets. Top-performing TA metrics demonstrated significantly higher performance in the training dataset, but not in the validation dataset. Conclusion A simple first-order measure of heterogeneity, SUVsd, was found to be superior to SUVmax for the classification of metastatic and benign bone lesions. Multiple hypothesis testing can result in false-positive findings in TA with multiple features and parameters; careful validation is required.

scholarly journals Measurement of Heterogeneity From 18F-FDG PET For Classification of Metastatic And Benign Bone Lesions: A Study In Patients With Cervical Cancer

2021 ◽  
Author(s):  
Feng-Yuan Liu ◽  
Gigin Lin ◽  
Jing-Ren Tseng ◽  
Angel Chao ◽  
Huei-Jean Huang ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Fdg Pet ◽  
Standardized Uptake Value ◽  
Performance Measure ◽  
Multiple Hypothesis Testing ◽  
Training Dataset ◽  
Validation Dataset ◽  
Bone Lesions ◽  
First Order

Abstract Purpose Heterogeneity assessment has been applied in medical imaging analysis. We aim to evaluate first-order and texture analysis (TA) metrics in 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) imaging for classification of metastatic and benign bone lesions in patients with cervical cancer.Materials and Methods: 18F-FDG PET studies for cervical cancer patients performed on a specific PET/CT system from 2016 to 2018 were retrieved. Bone lesions extracted from studies in 2016-2017 were used as the training dataset and those in 2018 as the validation dataset. Metastatic bone lesions were identified in each dataset, with an equal number of benign bone lesions selected. Cuboid volume of interest (VOI) consisting of 3 by 3 by 5 reconstructed voxels was defined for first-order metrics and cubic VOI consisting of smaller voxels with trilinear interpolation of standardized uptake value (SUV) was adopted for TA metrics. First-order metrics included maximum SUV (SUVmax) of lesion and mean, standard deviation (SUVsd), skewness and kurtosis of voxel SUV in VOI. A total of 4464 TA metrics based on 62 texture features were evaluated. Logistic regression was used for classification with area under the receiver operating characteristic curve (AUC) as the performance measure.Results: From the training and validation datasets, 98 and 42 metastatic bone lesions were identified respectively. SUVsd achieves a better performance than SUVmax in both training (AUC .798 vs .732, P < .001) and validation (AUC .786 vs .684, P < .001) datasets. Top-performing TA metrics achieved significantly better performance in the training dataset but failed to retain this advantage in the validation dataset.Conclusion: This study identified a simple first-order measure of heterogeneity, SUVsd, to be superior to SUVmax in the classification of metastatic and benign bone lesions. The effect of multiple hypothesis testing can result in false-positive findings in TA with multiple features and parameters and careful validation is needed.

The physical basis of application of positron emission tomography and modern radiopharms

2021 ◽  
Vol 4 ◽  
Author(s):  
L.I. , Galchenko ◽  
◽  
A.N. Kalyagin
Keyword(s):  
Positron Emission Tomography ◽  
Time Distribution ◽  
Space Time ◽  
Physical Basis ◽  
Emission Tomography ◽  
Annihilation Radiation ◽  
Review Of The Literature ◽  
Diagnostic Practice ◽  
Positron Emission

This article provides a review of the literature on the history, physical and technical foundations and features of the application of positron emission tomography (PET), which came into practice in the 1970s. PET is a method of visualizing the space-time distribution of a positron-emitting radiopharmaceutical (RP) in the patient‘s body by annihilation radiation. The classification of radiopharmaceuticals that are used in clinical and diagnostic practice is considered.

Destination of Mental Disorders Through Biochemical and Neuropathological Analysis?

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
P. Falkai
Keyword(s):  
Positron Emission Tomography ◽  
Mental Disorders ◽  
Psychiatric Disorders ◽  
Clinical Symptoms ◽  
Emission Tomography ◽  
Imaging Findings ◽  
Severe Mental Disorders ◽  
Positron Emission ◽  
Dopamine Hypothesis

In the first half of the last century researchers believed that severe mental disorders like schizophrenia have a neuropathological basis. Up to now it has been difficult to prove any consistent core finding for this disorder. Reason for this might be that it is a network disorder and therefore regional specific findings will unlikely be found. Parallel to that describing the dopamine hypothesis of schizophrenia and the catechol amine deficit hypothesis of depression were very helpful for understanding the mechanisms of antipsychotics and antidepressants working in these disorders. Especially the introduction of the positron emission tomography has helped to link symptoms with the transmitter systems. However, none of these findings are specific for schizophrenia or depression. During the talk it will be discussed when the combination of core clinical symptoms, imaging findings and genetic variables are helpful for a future classification of psychiatric disorders.

scholarly journals Prospective Evaluation of Magnetic Resonance Imaging and [18F]Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography at Diagnosis and Before Maintenance Therapy in Symptomatic Patients With Multiple Myeloma Included in the IFM/DFCI 2009 Trial: Results of the IMAJEM Study

2017 ◽  
Vol 35 (25) ◽  
pp. 2911-2918 ◽  
Author(s):  
Philippe Moreau ◽  
Michel Attal ◽  
Denis Caillot ◽  
Margaret Macro ◽  
Lionel Karlin ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Computed Tomography ◽  
Positron Emission Tomography ◽  
Multiple Myeloma ◽  
Emission Tomography ◽  
Bone Lesions ◽  
Resonance Imaging ◽  
Positron Emission ◽  
Pet Ct ◽  
Ct And Mri

Purpose Magnetic resonance imaging (MRI) and positron emission tomography–computed tomography (PET-CT) are important imaging techniques in multiple myeloma (MM). We conducted a prospective trial in patients with MM aimed at comparing MRI and PET-CT with respect to the detection of bone lesions at diagnosis and the prognostic value of the techniques. Patients and Methods One hundred thirty-four patients received a combination of lenalidomide, bortezomib, and dexamethasone (RVD) with or without autologous stem-cell transplantation, followed by lenalidomide maintenance. PET-CT and MRI were performed at diagnosis, after three cycles of RVD, and before maintenance therapy. The primary end point was the detection of bone lesions at diagnosis by MRI versus PET-CT. Secondary end points included the prognostic impact of MRI and PET-CT regarding progression-free (PFS) and overall survival (OS). Results At diagnosis, MRI results were positive in 127 of 134 patients (95%), and PET-CT results were positive in 122 of 134 patients (91%; P = .33). Normalization of MRI after three cycles of RVD and before maintenance was not predictive of PFS or OS. PET-CT became normal after three cycles of RVD in 32% of the patients with a positive evaluation at baseline, and PFS was improved in this group (30-month PFS, 78.7% v 56.8%, respectively). PET-CT normalization before maintenance was described in 62% of the patients who were positive at baseline. This was associated with better PFS and OS. Extramedullary disease at diagnosis was an independent prognostic factor for PFS and OS, whereas PET-CT normalization before maintenance was an independent prognostic factor for PFS. Conclusion There is no difference in the detection of bone lesions at diagnosis when comparing PET-CT and MRI. PET-CT is a powerful tool to evaluate the prognosis of de novo myeloma.

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