The use of a visual 4-point scoring scale improves the yield of 18F-FDG PET-CT imaging in the diagnosis of renal and hepatic cyst infection in patients with autosomal dominant polycystic kidney disease

Neuville, Marie; Lovinfosse, Pierre; Jadoul, Alexandre; Thys, Marie; Seidel, Laurence; Hustinx, Roland; Jouret, François

doi:10.1007/s00259-020-04903-x

Cited by 17 publications

(12 citation statements)

References 10 publications

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“…However, the CT technology will cause serious noise pollution in inspection images. Therefore, artificial intelligence denoising algorithms [ 15 ] have been proposed to combine these two technologies. The maximum expectation algorithm (EM algorithm) is a type of optimization algorithm that performs maximum likelihood estimation (MLE) through iteration [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Algorithm-Based Computed Tomography Image of Both Kidneys in Diagnosis of Renal Dysplasia

Liu

Tang

2022

Computational and Mathematical Methods in Medicine

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The objective of this study was to explore the accuracy of low-dosage computed tomography (CT) images based on the expectation maximization algorithm denoising algorithm (EM algorithm) in the detection and diagnosis of renal dysplasia, so as to provide reasonable research basis for accuracy improvement of clinical diagnosis of renal dysplasia. 120 patients with renal dysplasia in hospital were randomly selected as the research objects, and they were divided into two groups by random number method, with 60 patients in each group. The low-dosage CT images of patients in the control group were not processed (nonalgorithm group), and the low-dosage CT images of patients in the observation group were denoised using the EM algorithm (algorithm group). In addition, it was compared with the results of the comprehensive diagnosis (gold standard) to analyze the accuracy of the diagnosis of the two groups of patients and the consistency with the results of the pathological diagnosis. The results were compared with those of the comprehensive diagnosis (gold standard) to analyze the accuracy of the diagnosis of the two groups of patients. The results showed that the peak signal-to-noise ratio (PSNR) (15.9 dB) of the EM algorithm was higher than the regularized adaptive matching pursuit (RAMP) algorithm (1.69 dB) and the mean filter (4.3 dB) ( P < 0.05 ). The time consumption of EM algorithm (21 s) was shorter than that of PWLS algorithm (34 s) and MS-PWLS algorithm (39 s) ( P < 0.05 ). The diagnosis accuracy of dysplasia of single kidney, absence of single kidney, horseshoe kidney, and duplex kidney was obviously higher in the algorithm group than the control group ( P < 0.05 ), which were 66.67% vs. 90%, 60% vs. 88.89%, 71.42% vs. 100%, and 60% vs. 88.89%, respectively. The incidence of hypertension in patients with autosomal dominant polycystic kidney disease (ADPKD) (56.77%) was much higher than that of the other diseases ( P < 0.05 ). After denoising by the EM algorithm, low-dosage CT image could improve the diagnostic accuracy of several types of renal dysplasia except ADPKD, showing certain clinical application value. In addition, ADPKD was easy to cause hypertension.

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Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Algorithm-Based Computed Tomography Image of Both Kidneys in Diagnosis of Renal Dysplasia

Liu

Tang

2022

Computational and Mathematical Methods in Medicine

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“…18 FDG PET-CT is superior to other imaging modalities and can be used to support the diagnosis of infected cysts in doubtful cases. 80,81,[87][88][89][90][91] If the diagnosis of infection is equivocal, fluid aspiration can be performed to confirm the diagnosis.…”

Section: What Are the Diagnostic Criteria For Hepatic Cyst Infection?...mentioning

confidence: 99%

EASL Clinical Practice Guidelines on the management of cystic liver diseases

Drenth¹,

Barten²,

Hartog³

et al. 2022

Journal of Hepatology

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“…suggested a 4-point visual scoring system (with respect to blood pool and liver) for the diagnosis of cyst infection in ADPKD. [ 10 ] The visual assessment of PET-CT images reached a sensitivity of 73.1% and a specificity of 70.6%. Using the 4-point scale, an 18 F-FDG score ≥3 (i.e., cyst uptake >liver) improved the specificity to 85.3%.…”

Section: Discussionmentioning

confidence: 99%

Fever of unknown origin: ¹⁸F-fluorodeoxyglucose positron emission tomography–computed tomography showing renal cyst infection in autosomal dominant polycystic kidney disease

Sharma

2021

Indian J Nucl Med

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Fever of unknown origin (FUO) is a convoluted clinical dilemma. It can be caused by infective, inflammatory, malignant, and other pathologies. The identification of etiopathogenesis is essential for instituting definitive management. 18 F-fluorodeoxyglucose ( 18 F-FDG) positron emission tomography-computed tomography (PET-CT) is now an integral part of FUO management. We present the case of a 60-year-old female with autosomal dominant polycystic kidney disease (ADPKD), where the infected renal cyst was detected as the cause of FUO on 18 F-FDG PET-CT.

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The use of a visual 4-point scoring scale improves the yield of 18F-FDG PET-CT imaging in the diagnosis of renal and hepatic cyst infection in patients with autosomal dominant polycystic kidney disease

Cited by 17 publications

References 10 publications

Artificial Intelligence Algorithm-Based Computed Tomography Image of Both Kidneys in Diagnosis of Renal Dysplasia

Artificial Intelligence Algorithm-Based Computed Tomography Image of Both Kidneys in Diagnosis of Renal Dysplasia

EASL Clinical Practice Guidelines on the management of cystic liver diseases

Fever of unknown origin: ¹⁸F-fluorodeoxyglucose positron emission tomography–computed tomography showing renal cyst infection in autosomal dominant polycystic kidney disease

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The use of a visual 4-point scoring scale improves the yield of 18F-FDG PET-CT imaging in the diagnosis of renal and hepatic cyst infection in patients with autosomal dominant polycystic kidney disease

Cited by 17 publications

References 10 publications

Artificial Intelligence Algorithm-Based Computed Tomography Image of Both Kidneys in Diagnosis of Renal Dysplasia

Artificial Intelligence Algorithm-Based Computed Tomography Image of Both Kidneys in Diagnosis of Renal Dysplasia

EASL Clinical Practice Guidelines on the management of cystic liver diseases

Fever of unknown origin: 18F-fluorodeoxyglucose positron emission tomography–computed tomography showing renal cyst infection in autosomal dominant polycystic kidney disease

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Fever of unknown origin: ¹⁸F-fluorodeoxyglucose positron emission tomography–computed tomography showing renal cyst infection in autosomal dominant polycystic kidney disease