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Atrophy of hippocampal subfields as a diagnostic biomarker in alzheimer's disease patients and its differentiation from mild cognitive impairment disorders
Yunus Soleymani, Amir Reza Jahanshahi, Davood Khezerloo ,
Volume 80, Issue 11 (February 2023)
Abstract
Background: Atrophy of hippocampal subfields is one of the diagnostic biomarkers of Alzheimer's disease, which has also been observed in many patients with mild cognitive impairment. There is still no clear understanding of the atrophy pattern of hippocampal subfields in Alzheimer's disease and its differentiation from mild cognitive impairment. In this cross-sectional study, hippocampal subfield atrophy in Alzheimer's patients were compared with patients with early (EMCI) and late (LMCI) cognitive impairment and the control group.
Methods: This was a cross-sectional study conducted from September 2021 to September 2022 in the radiology department of Tabriz Paramedical Faculty. MRI images of Alzheimer's patients, EMCI patients, LMCI patients, and normal controls (NCs) were obtained from the ADNI database. Different hippocampus subfields of hippocampal fissure, dentate gyrus head, dentate gyrus body, first cornu ammonis body, cornu ammonis head, subiculum body, and subiculum head were isolated using the hippocampus segmentation tool in FreeSurfer 7.0 software. The volume of all subfields was calculated bilaterally and normalized. The volume difference of each hippocampus subfield between the groups participating in the study and the pair volume difference between the groups was analyzed using the Kruskal-Wallis H Test and post-hoc Dunn's test. The P<0.05 was considered as the significance level.
Results: The most significant volume difference between the four groups participating in the study was related to the whole hippocampus, DG body, subiculum body, and subiculum head subfields (P<0.0001). Also, when examining pairs, the most significant difference was observed between the NC/AD pair (P<0.0001) and the least significant difference between the pair of LMCI/AD group (P<0.05) and in the subfield subiculum body showing the progressive course of hippocampal subfield atrophy with cognitive progress towards Alzheimer's disease.
Conclusion: In most subfields of the hippocampus, a significant difference in atrophy can be seen, increasing the severity of atrophy as the disorder progresses toward Alzheimer's. Such findings can help guide future studies to improve diagnostic performance to identify individuals at high risk of Alzheimer's disease.

Investigating the reproducibility of radiomics features extracted from ultrasound images as diagnostic biomarkers in patients with hepatocellular carcinoma
Yunus Soleymani, Amir Reza Jahanshahi, Hamed Rezaeejam, Davood Khezerloo,
Volume 80, Issue 12 (March 2023)
Abstract
Background: Radiomics is a noninvasive method that reveals information from medical images that are not recognizable by the naked eye. Radiomics has shown a high potential in the accurate diagnosis and prognosis of liver lesions in ultrasound images. Despite this high potential, changes in imaging parameters affect the reproducibility of ultrasound radiomics results. Therefore, the present study aims to investigate the reproducibility of the radiomics features extracted from the images of patients with hepatocellular carcinoma under changes in ultrasound scan parameters.
Methods: This was a cross-sectional study conducted from July 2020 to July 2021 in the radiology department of Tabriz Paramedical Faculty. The images of 20 patients with hepatocellular carcinoma were obtained from the Cancer Imaging Archive database. These images were taken under different imaging conditions and parameters. The areas related to the lesion were manually extracted from the images with software tools. Then, in order to radiomics analysis, different radiomics features, including 24 gray level co-occurrence matrix (GLCM) and 16 gray level run length matrix (GLRLM), were extracted from the images. Then, using the coefficient of variation (CV%) and intraclass correlation coefficient (ICC) statistical tests, the reproducibility of radiomics features under changes in scan parameters was investigated. The values of ICC≥0.90 and CV<20% were considered reproducible in this study.
Results: Among the 40 features extracted from ultrasound images, eight showed high reproducibility in both CV% and ICC tests. These features were joint entropy, Idmn, Imc2, correlation, MCC, sum entropy, gray level non-uniformity normalized, and run entropy in which the two features, Idmn and gray level non-uniformity normalized, showed the highest (CV%=0.24) and the lowest (CV%=14.90) stability against the changes of ultrasound scan parameters, respectively. The average ICC value of these features was obtained at 0.977.
Conclusion: Despite the high potential of radiomics in diagnosing liver lesions, changes in imaging parameters directly affect the reproducibility of results. However, some radiomics features still show high stability and reproducibility under changes in imaging parameters.

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