Evaluation of Lesion Burden in Pediatric Patients with Multiple Sclerosis by Computer Aided Algorithm and Comparison with Standard Detection Methods

Gülnihal Deniz; Ahmet Yalçın; Elif Yıldırım; Hüseyin Tan

Makale detayları

Evaluation of Lesion Burden in Pediatric Patients with Multiple Sclerosis by Computer Aided Algorithm and Comparison with Standard Detection Methods

Yazarlar:

Gülnihal Deniz | Ahmet Yalçın | Elif Yıldırım | Hüseyin Tan

Yayıncı:

Harran University

Ana Başlıklar:

Radyoloji ve Organ Görüntüleme

Dergi:

Harran Üniversitesi Tıp Fakültesi Dergisi Vol.21 Issue 2, pp.159-165

Belge Tipi:

Makale

Yayın Tarihi:

8/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001323548

pISSN:

1304-9623

Anahtar kelimeler:

Özet:

 Background: The aim of this retrospective study was to assess the lesion burden in pediatric patients with multiple sclerosis pMS using a computer-assisted algorithm, specifically the VolBrain program. The study aimed to compare the performance of this automated tool with traditional detection methods performed by neuroimaging analysts, providing valuable insights into the potential of automated tools for lesion quantification in pMS. Materials and Methods: The study cohort consisted of 20 PMS patients, aged 10-18 years, registered at Atatürk University Research Hospital. Lesion assessment was performed using the VolBrain program by an anatomist and standard detection methods by a neuroradiologist using T2 SPACE dark matter sequences. Statistical analysis included Wilcoxon and Pearson correlation tests, and the study adhered to ethical considerations and standardised magnetic resonance imaging MRI protocols. Results: In this study, pMS patients aged 10-18 years, the cohort consisted of 60 females n12 and 40 males n8. The mean age for females was 15.671.969 and for males 14.502.20 years p0.24. Plaque count analysis showed a statistically significant difference between radiologist and VolBrain assessment in all pMS patients p0.021. Significant differences were also observed in female pMS patients p0.034 but not in males p0.362. Correlations between radiologist and VolBrain assessments showed significant associations in both female and male patients, with strong correlations observed for plaque number, lesion burden and Expanded Disability Status Scale EDSS scores p0.01. Conclusions: This study demonstrates the potential of the VolBrain programme in assessing lesion burden in pMS patients. The observed correlations with traditional methods and clinical parameters support the concurrent validity of VolBrain and emphasise its potential clinical relevance. Incorporating automated tools into routine clinical practice could improve the accuracy of lesion quantification and thus contribute to improved monitoring and management of pMS.

 Background: The aim of this retrospective study was to assess the lesion burden in pediatric patients with multiple sclerosis pMS using a computer-assisted algorithm, specifically the VolBrain program. The study aimed to compare the performance of this automated tool with traditional detection methods performed by neuroimaging analysts, providing valuable insights into the potential of automated tools for lesion quantification in pMS. Materials and Methods: The study cohort consisted of 20 PMS patients, aged 10-18 years, registered at Atatürk University Research Hospital. Lesion assessment was performed using the VolBrain program by an anatomist and standard detection methods by a neuroradiologist using T2 SPACE dark matter sequences. Statistical analysis included Wilcoxon and Pearson correlation tests, and the study adhered to ethical considerations and standardised magnetic resonance imaging MRI protocols. Results: In this study, pMS patients aged 10-18 years, the cohort consisted of 60 females n12 and 40 males n8. The mean age for females was 15.671.969 and for males 14.502.20 years p0.24. Plaque count analysis showed a statistically significant difference between radiologist and VolBrain assessment in all pMS patients p0.021. Significant differences were also observed in female pMS patients p0.034 but not in males p0.362. Correlations between radiologist and VolBrain assessments showed significant associations in both female and male patients, with strong correlations observed for plaque number, lesion burden and Expanded Disability Status Scale EDSS scores p0.01. Conclusions: This study demonstrates the potential of the VolBrain programme in assessing lesion burden in pMS patients. The observed correlations with traditional methods and clinical parameters support the concurrent validity of VolBrain and emphasise its potential clinical relevance. Incorporating automated tools into routine clinical practice could improve the accuracy of lesion quantification and thus contribute to improved monitoring and management of pMS.

 Background: The aim of this retrospective study was to assess the lesion burden in pediatric patients with multiple sclerosis pMS using a computer-assisted algorithm, specifically the VolBrain program. The study aimed to compare the performance of this automated tool with traditional detection methods performed by neuroimaging analysts, providing valuable insights into the potential of automated tools for lesion quantification in pMS. Materials and Methods: The study cohort consisted of 20 PMS patients, aged 10-18 years, registered at Atatürk University Research Hospital. Lesion assessment was performed using the VolBrain program by an anatomist and standard detection methods by a neuroradiologist using T2 SPACE dark matter sequences. Statistical analysis included Wilcoxon and Pearson correlation tests, and the study adhered to ethical considerations and standardised magnetic resonance imaging MRI protocols. Results: In this study, pMS patients aged 10-18 years, the cohort consisted of 60 females n12 and 40 males n8. The mean age for females was 15.671.969 and for males 14.502.20 years p0.24. Plaque count analysis showed a statistically significant difference between radiologist and VolBrain assessment in all pMS patients p0.021. Significant differences were also observed in female pMS patients p0.034 but not in males p0.362. Correlations between radiologist and VolBrain assessments showed significant associations in both female and male patients, with strong correlations observed for plaque number, lesion burden and Expanded Disability Status Scale EDSS scores p0.01. Conclusions: This study demonstrates the potential of the VolBrain programme in assessing lesion burden in pMS patients. The observed correlations with traditional methods and clinical parameters support the concurrent validity of VolBrain and emphasise its potential clinical relevance. Incorporating automated tools into routine clinical practice could improve the accuracy of lesion quantification and thus contribute to improved monitoring and management of pMS.

 Amaç: Bu retrospektif çalışmanın amacı, bilgisayar destekli bir algoritma olan VolBrain programını kullanarak pediatrik Multiple Sklerozlu pMS hastalarda lezyon yükünü değerlendirmektir. Çalışma, bu otomatik aracın performansını nörogörüntüleme analistleri tarafından gerçekleştirilen geleneksel tespit yöntemleriyle karşılaştırarak pMSde lezyon ölçümü için otomatik araçların potansiyeline ilişkin önemli bilgiler sunmayı hedeflemiştir. Materyal ve metod: Çalışma grubu Atatürk Üniversitesi Araştırma Hastanesine kayıtlı 10-18 yaş arası 20 pMS hastasından oluşmuştur. Lezyon değerlendirmesi VolBrain programı anatomist tarafından ve standart tespit yöntemleri bir nöroradyolog tarafından kullanılarak T2 SPACE dark matter sekansları kullanılarak yapıldı. İstatistiksel analiz Wilcoxon ve Pearson korelasyon testlerini içeriyordu ve çalışma etik hususlara ve standartlaştırılmış manyetik rezonans görüntüleme MRI protokollerine bağlı kaldı. Bulgular: Bu çalışmada 10-18 yaş arası pMS hastalarının 60ı kız n12 ve 40ı erkeklerden n8 oluşmaktadır. Yaş ortalaması kızlarda 15,671,969, erkeklerde ise 14,502,20 yıldı p0,24. Plak sayımı analizi, tüm pMS hastalarında radyolog ve VolBrain değerlendirmesi arasında istatistiksel olarak anlamlı bir fark olduğunu gösterdi p0,021. Kız pMS hastalarında da anlamlı farklılıklar gözlenirken p0,034, erkeklerde ise bu fark görülmedi p0,362. Radyolog ve VolBrain değerlendirmeleri arasındaki korelasyonlar, hem kız hem de erkek hastalarda plak sayısı, lezyon yükü ve Genişletilmiş Engellilik Durum Ölçeği EDSS skorları için güçlü korelasyonlar olduğunu göstermiştir p0,01. Sonuç: Bu çalışma, VolBrain programının pMS hastalarında lezyon yükünü değerlendirmedeki potansiyelini ortaya koymaktadır. Geleneksel yöntemler ve klinik parametrelerle gözlemlenen korelasyonlar VolBrainin eşzamanlı geçerliliğini desteklemekte ve potansiyel klinik uygunluğunu vurgulamaktadır. Otomatik araçların rutin klinik uygulamaya dahil edilmesi, lezyon miktarının doğruluğunu artırabilir ve böylece pMSnin daha iyi izlenmesine ve yönetimine katkıda bulunabilir.

Makale detayları

Evaluation of Lesion Burden in Pediatric Patients with Multiple Sclerosis by Computer Aided Algorithm and Comparison with Standard Detection Methods

Yazarlar:

Gülnihal Deniz | Ahmet Yalçın | Elif Yıldırım | Hüseyin Tan

Yayıncı:

Harran University

Ana Başlıklar:

Radyoloji ve Organ Görüntüleme

Dergi:

Harran Üniversitesi Tıp Fakültesi Dergisi Vol.21 Issue 2, pp.159-165

Belge Tipi:

Makale

Yayın Tarihi:

8/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001323548

pISSN:

1304-9623

Pediatric MS

VolBrain

Lesion Plaque Number

Lesion Burden

EDSS.Pediatrik MS

VolBrain

Lezyon Plak Sayısı

Lezyon Yükü

EDSS.

Sayı

Makale detayları

Yazarlar: Gülnihal Deniz | Ahmet Yalçın | Elif Yıldırım | Hüseyin Tan

Yayıncı: Harran University

Ana Başlıklar: Radyoloji ve Organ Görüntüleme

Dergi: Harran Üniversitesi Tıp Fakültesi Dergisi Vol.21 Issue 2, pp.159-165

Belge Tipi: Makale

Yayın Tarihi: 8/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001323548

pISSN: 1304-9623

Sayı

Yazarlar:

Gülnihal Deniz | Ahmet Yalçın | Elif Yıldırım | Hüseyin Tan

Yayıncı:

Harran University

Ana Başlıklar:

Radyoloji ve Organ Görüntüleme

Dergi:

Harran Üniversitesi Tıp Fakültesi Dergisi Vol.21 Issue 2, pp.159-165

Belge Tipi:

Makale

Yayın Tarihi:

8/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001323548

pISSN:

1304-9623