Potential impact of PET/CT on the initial staging of lymphoma

Kamel, Ayman Ismail; Ali, Tamer F. Taha; Tawab, Mohamed A.

doi:10.1016/j.ejrnm.2012.12.008

Cited by 4 publications

(2 citation statements)

References 38 publications

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“…Furthermore, Kamel et al . [ 22 ] who conducted their study on 37 patients, obtained similar results and supported this theory, as of 29 extranodal sites shown by standard reference, PET/CT was able to correctly determine 24 while PET and CT correctly detected only 15 and 16, respectively. The performance of PET/CT was significantly better in detecting extranodal lesions than PET ( P = 0.016) and CT ( P = 0.03).…”

Section: Discussionmentioning

confidence: 55%

F-18 FDG PET-CT versus contrast enhanced ct in detection of extra nodal involvement in patients with lymphoma

Alnouby¹,

Nasr

Ali

et al. 2018

Indian J Nucl Med

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Section: Discussionmentioning

confidence: 55%

F-18 FDG PET-CT versus contrast enhanced ct in detection of extra nodal involvement in patients with lymphoma

Alnouby¹,

Nasr

Ali

et al. 2018

Indian J Nucl Med

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“…The oncologists, especially for patients with HL uses critical parameters such as anamnesis, detailed physical examination, laboratory findings, imaging modalities (X-ray, CT scan, and PET-CT) and bone marrow biopsy results for early diagnosis, evaluation of response given to treatment, staging or restaging. [15][16] [17][18][19] [20] studies indicate that PET-CT imaging approach offers more successful outcomes in the process of deciding the stage of lymphoma disease compared to other approaches. All these approaches applied for the diagnosis and treatment of patients diagnosed with HL may cause anxiety on patients or radiation-based methods may produce undesirable results in the long term.…”

Section: Introductionmentioning

confidence: 99%

A Decision Support System For Detecting Stage In Hodgkin Lymphoma Patients Using Artificial Neural Network and Optimization Algorithms

AKALIN

Orhan

Büyükavcı

2022

Sakarya University Journal of Computer and Information Sciences

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Hodgkin-type lymphoma is a disease with unique histological, immunophenotypic, and clinical features. This disease occurs in nearly 30% of all lymphomas. Its treatable is high. However, the treatment plan is specified after the stage and risk status are determined. For this reason, it is an important process for doctors to decide on the stage of the disease correctly. Some of the data used for this decision are the patient's history, detailed physical examination, laboratory findings, imaging methods and bone marrow biopsy results. Hybrid FDG-PET is the other method used in the medical world. This method is used in diagnosis, evaluation of response given to treatment, staging and restaging process. However, it is radiation-based. Therefore it has the possibility of producing undesirable results in the future. In this study, an artificial intelligence-based computer-assisted decision support system is done to reduce the number of used medical methods and radiation exposure. Data were obtained from the NCBI-GEO dataset. The evaluation of these data, which contains missing values, is handled in two ways. Firstly, samples with missing values in the initial evaluation are deleted from the dataset. Then, these data are trained with “trainlm” function in artificial neural network architecture. However, reducing the error value of the estimates is important. For this, the artificial neural network architecture is retrained with the artificial bee colony algorithm, particle swarm optimization algorithm and invasive weed algorithm, respectively. Secondly, the same operations are performed again on the dataset containing missing values. As a result of the training, the maximum performance was obtained for invasive weed and particle swarm optimization algorithms with 1,45547E+14 and 1,23103E+14 average error rates, respectively.

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Fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography as a diagnostic tool in therapeutic evaluation of lymphoma after completion of therapy

Hassanien

Elahwal

Abdelsattar

et al. 2018

The Egyptian Journal of Radiology and Nuclear Medicine

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Potential impact of PET/CT on the initial staging of lymphoma

Cited by 4 publications

References 38 publications

F-18 FDG PET-CT versus contrast enhanced ct in detection of extra nodal involvement in patients with lymphoma

F-18 FDG PET-CT versus contrast enhanced ct in detection of extra nodal involvement in patients with lymphoma

A Decision Support System For Detecting Stage In Hodgkin Lymphoma Patients Using Artificial Neural Network and Optimization Algorithms

Fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography as a diagnostic tool in therapeutic evaluation of lymphoma after completion of therapy

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