Morphometric Study of Ventricular Indices in Human Brain  Using  Computed Tomography Scans in Indian Population

Kolsur, Namrata; P.M, Radhika; Shetty, Shailaja; Kumar, Ashok

doi:10.16965/ijar.2018.286

Cited by 11 publications

(10 citation statements)

References 17 publications

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“…[9], we achieved 81:25 % accuracy. Using the threshold value of 0.22, as suggested by Kolsur et al [16], Patnaik et al [2] and Singh et al [14], we achieved 77 % accuracy. Our classifier outperformed both of these thresholds because the RF classifier uses multiple thresholds for a single feature depending on the number of estimators than a single threshold value.…”

Section: Discussionmentioning

confidence: 82%

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Comparison of morphometric parameters in prediction of hydrocephalus using random forests

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2020

Computers in Biology and Medicine

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Ventricles of the human brain enlarge with aging, neurodegenerative diseases, intrinsic, and extrinsic pathologies. The morphometric examination of neuroimages is an effective approach to assess structural changes occurring due to diseases such as hydrocephalus. In this study, we explored the effectiveness of commonly used morphological parameters in hydrocephalus diagnosis. For this purpose, the effect of six common morphometric parameters; Frontal Horns' Length (FHL), Maximum Lateral Length (MLL), Biparietal Diameter (BPD), Evans' Ratio (ER), Cella Media Ratio (CMR), and Frontal Horns' Ratio (FHR) were compared in terms of their importance in predicting hydrocephalus using a Random Forest classifier. The experimental results demonstrated that hydrocephalus can be detected with 91.46 % accuracy using all of these measurements. The accuracy of classification using only CMR and FHL reached up to 93.33 %. In terms of individual performances, CMR and FHL were the top performers whereas BPD and FHR did not contribute as much to the overall accuracy.

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Section: Discussionmentioning

confidence: 82%

“…Swati et al [9] defined CMR as the ratio of the MLL (a) to MTD (c) with the threshold value of 0.25 for the diagnosis of hydrocephalus (CMR1). Kolsur et al [16] defined CMR as the ratio of MLL (a) to BPD (d) (CMR2). Their threshold was 0.227.…”

Section: Measurements Of Linear Parametersmentioning

confidence: 99%

Comparison of morphometric parameters in prediction of hydrocephalus using random forests

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2020

Computers in Biology and Medicine

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“…Penelitian oleh Chrzan et al pada tahun 2019 melaporkan bahwa ratarata CMI pada kelompok usia 100-106 tahun lebih rendah secara signifikan daripada kelompok usia 70-79 tahun (4.32 dan 5.32) 28 . Penelitian lain dengan cella media ratio (CMR) menunjukkan bahwa CMR memiliki korelasi positif terhadap usia 23 . Selain itu, CMR juga menunjukkan hubungan yang bermakna dengan diameter kepala, baik anteroposterior maupun transversal 24 .…”

Section: Pembahasan Pembahasan Hasilunclassified

“…Selain itu, CMR juga menunjukkan hubungan yang bermakna dengan diameter kepala, baik anteroposterior maupun transversal 24 . CMR membandingkan diameter paling sempit dari dinding luar ventrikel lateralis dengan diameter dalam os cranium di garis yang sama 23,24 . Baik CMI maupun CMR bermanfaat pada diagnosis hidrosefalus obstruktif 23 .…”

Section: Pembahasan Pembahasan Hasilunclassified

Hubungan Fungsi Kognitif Berdasarkan Skor MMSE dengan Hasil CT Scan Kepala Pasien Lansia

Handayani

Rahayu²,

Wiyono

2022

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Pendahuluan: Penurunan fungsi kognitif merupakan penyebab utama disabilitas dan ketergantungan akan perawatan lansia. Pemeriksaan dengan pencitraan memungkinkan kita untuk mengetahui perubahan struktural otak yang dapat menjadi prediktor munculnya demensia. Penelitian mengenai topik ini masih jarang dilakukan di Indonesia. Oleh karena itu, penelitian ini dilaksanakan untuk mempelajari hubungan antara hasil penilaian fungsi kognitif dengan mini mental state examination (MMSE) dan hasil CT scan kepala pasien lansia, yang distandarisasi dengan kriteria penilaian skala global cortical atrophy (GCA).Metode: Penelitian ini merupakan penelitian kuantitatif dengan metode observasi. Populasi yang diteliti merupakan pasien yang berusia ≥60 tahun, menjalani pemeriksaan CT scan kepala pada tahun 2021, dan mampu menjalani pemeriksaan MMSE selama periode pengambilan data penelitian. Sampel diambil dengan the rule of thumb sebanyak 30 orang. Analisis data dilakukan dengan uji korelasi Rank Spearman.Hasil: Penelitian ini diikuti oleh 18 pasien perempuan dan 12 pasien laki-laki. Sebagian besar pasien memiliki fungsi kognitif yang normal dengan rata-rata skor MMSE 26 (±3,42) dan skala GCA 1 - 2. Terdapat korelasi negatif yang signifikan secara statistik (r=-0,546/p<0,002) antara fungsi kognitif berdasarkan skor MMSE dengan hasil pemeriksaan CT scan kepala pasien lansia.Kesimpulan: Terdapat hubungan negatif berkekuatan moderat antara fungsi kognitif berdasarkan skor MMSE dengan hasil pemeriksaan CT scan kepala pasien lansia.

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“…Ventricular size relative to brain tissue and cerebral atrophy were assessed by applying several atrophy indices, including the 1) Evans index (ratio of the maximal frontal horn ventricular width to the maximal inner diameter of the skull); 2) the bifrontal index (ratio of the maximal frontal horn ventricular width to the inner diameter of the skull in the same plane); 3) the ventricular index (ratio of the minimum width of lateral ventricules to the maximum bifrontal diameter); and 4) the cella media index (ratio of the minimum distance between lateral walls of the lateral ventricles in cella media region to the maximum inner skull diameter) [2][3][4]. Changes in ventricular size and atrophy were present across all indices ( Table 1).…”

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confidence: 99%

Brain Atrophy Following Deep Brain Stimulation: Management of a Moving Target

Chiu

Deeb

Zeilman

et al. 2020

Tremor and Other Hyperkinetic Movements

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Clinical vignette: A 51-year-old man with essential tremor (ET) had bilateral ventralis intermedius nucleus deep brain stimulation (VIM-DBS) placed to address refractory tremor. Despite well-placed DBS leads and adequate tremor response, he subsequently experienced worsening. Re-programming of the device and reconfirming the electrical thresholds for benefits and side effects were both performed. Six years following DBS implantation, repeat imaging revealed brain atrophy and a measured lead position change with a coincident change in clinical response. Clinical dilemma: What do we know about brain atrophy affecting lead placement and long-term DBS effectiveness? What are the potential strategies to combat narrowed therapeutic thresholds and to maximize DBS therapeutic benefit? Clinical solution: Decreasing the electrical field of stimulation and programming in a bipolar configuration are strategies to provide symptomatic tremor control and to minimize stimulation-induced side effects. Gaps in knowledge: Currently, effects of brain atrophy, and factors underpinning emergence of side effects and/or loss of benefit in chronic VIM-DBS remain largely unexplored.

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Morphometric Study of Ventricular Indices in Human Brain Using Computed Tomography Scans in Indian Population

Cited by 11 publications

References 17 publications

Comparison of morphometric parameters in prediction of hydrocephalus using random forests

Comparison of morphometric parameters in prediction of hydrocephalus using random forests

Hubungan Fungsi Kognitif Berdasarkan Skor MMSE dengan Hasil CT Scan Kepala Pasien Lansia

Brain Atrophy Following Deep Brain Stimulation: Management of a Moving Target

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