Comparison of two region-of-interest placement methods for histogram analysis of apparent diffusion coefficient maps for glioma grading.

Q2 Medicine

Clinica Terapeutica Pub Date : 2024-05-01 DOI:10.7417/CT.2024.5053

N D Hieu, N D Hung, N D Hung, M M Hien, D V Anh, L T Dung

{"title":"Comparison of two region-of-interest placement methods for histogram analysis of apparent diffusion coefficient maps for glioma grading.","authors":"N D Hieu, N D Hung, N D Hung, M M Hien, D V Anh, L T Dung","doi":"10.7417/CT.2024.5053","DOIUrl":null,"url":null,"abstract":"Objectives: We assessed the value of histogram analysis (HA) of apparent diffusion coefficient (ADC) maps for grading low-grade (LGG) and high-grade (HGG) gliomas.Methods: We compared the diagnostic performance of two region-of-interest (ROI) placement methods (ROI 1: the entire tumor; ROI 2: the tumor excluding cystic and necrotic portions). We retrospectively evaluated 54 patients with supratentorial gliomas (18 LGG and 36 HGG). All subjects underwent standard 3T contrast-enhanced magnetic resonance imaging. Histogram parameters of ADC maps calculated with the two segmentation methods comprised mean, median, maxi-mum, minimum, kurtosis, skewness, entropy, standard deviation (sd), mean of positive pixels (mpp), uniformity of positive pixels, and their ratios (r) between lesion and normal white matter. They were compared using the independent t-test, chi-square test, or Mann-Whitney U test. For statistically significant results, receiver operating characteristic curves were constructed, and the optimal cutoff value, sensitivity, and specificity were determined by maximizing Youden's index.Results: The ROI 1 method resulted in significantly higher rADC mean, rADC median, and rADC mpp for LGG than for HGG; these parameters had value for predicting the histological glioma grade with a cutoff (sensitivity, specificity) of 1.88 (77.8%, 61.1%), 2.25 (44.4%, 97.2%), and 1.88 (77.8%, 63.9%), respectively. The ROI 2 method resulted in significantly higher ADC mean, ADC median, ADC mpp, ADC sd, ADC max, rADC median, rADC mpp, rADC mean, rADC sd, and rADC max for LGG than for HGG, while skewness was lower for LGG than for HGG (0.27 [0.98] vs 0.91 [0.81], p = 0.014). In ROI 2, ADC median, ADC mpp, ADC mean, rADC median, rADC mpp, and rADC mean performed well in differentiating glioma grade with cutoffs (sensitivity, specificity) of 1.28 (77.8%, 88.9%), 1.28 (77.8%, 88.9%), 1.25 (77.8%, 91.7%), 1.81 (83.3%, 91.7%), 1.74 (83.3%, 91.7%), and 1.81 (83.3%, 91.7%), respectively.Conclusions: HA parameters had value for grading gliomas. Ex-cluding cystic and necrotic portions of the tumor for measuring HA parameters was preferable to using the entire tumor as the ROI. In this segmentation, rADC median showed the highest performance in predicting histological glioma grade, followed by rADC mpp, rADC mean, ADC median, ADC mpp, and ADC mean.","PeriodicalId":50686,"journal":{"name":"Clinica Terapeutica","volume":"175 3","pages":"128-136"},"PeriodicalIF":0.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Terapeutica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7417/CT.2024.5053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}

引用次数: 0

Abstract

Objectives: We assessed the value of histogram analysis (HA) of apparent diffusion coefficient (ADC) maps for grading low-grade (LGG) and high-grade (HGG) gliomas.

Methods: We compared the diagnostic performance of two region-of-interest (ROI) placement methods (ROI 1: the entire tumor; ROI 2: the tumor excluding cystic and necrotic portions). We retrospectively evaluated 54 patients with supratentorial gliomas (18 LGG and 36 HGG). All subjects underwent standard 3T contrast-enhanced magnetic resonance imaging. Histogram parameters of ADC maps calculated with the two segmentation methods comprised mean, median, maxi-mum, minimum, kurtosis, skewness, entropy, standard deviation (sd), mean of positive pixels (mpp), uniformity of positive pixels, and their ratios (r) between lesion and normal white matter. They were compared using the independent t-test, chi-square test, or Mann-Whitney U test. For statistically significant results, receiver operating characteristic curves were constructed, and the optimal cutoff value, sensitivity, and specificity were determined by maximizing Youden's index.

Results: The ROI 1 method resulted in significantly higher rADC mean, rADC median, and rADC mpp for LGG than for HGG; these parameters had value for predicting the histological glioma grade with a cutoff (sensitivity, specificity) of 1.88 (77.8%, 61.1%), 2.25 (44.4%, 97.2%), and 1.88 (77.8%, 63.9%), respectively. The ROI 2 method resulted in significantly higher ADC mean, ADC median, ADC mpp, ADC sd, ADC max, rADC median, rADC mpp, rADC mean, rADC sd, and rADC max for LGG than for HGG, while skewness was lower for LGG than for HGG (0.27 [0.98] vs 0.91 [0.81], p = 0.014). In ROI 2, ADC median, ADC mpp, ADC mean, rADC median, rADC mpp, and rADC mean performed well in differentiating glioma grade with cutoffs (sensitivity, specificity) of 1.28 (77.8%, 88.9%), 1.28 (77.8%, 88.9%), 1.25 (77.8%, 91.7%), 1.81 (83.3%, 91.7%), 1.74 (83.3%, 91.7%), and 1.81 (83.3%, 91.7%), respectively.

Conclusions: HA parameters had value for grading gliomas. Ex-cluding cystic and necrotic portions of the tumor for measuring HA parameters was preferable to using the entire tumor as the ROI. In this segmentation, rADC median showed the highest performance in predicting histological glioma grade, followed by rADC mpp, rADC mean, ADC median, ADC mpp, and ADC mean.

查看原文本刊更多论文

比较用于胶质瘤分级的表观扩散系数图直方图分析的两种兴趣区放置方法。

目的我们评估了表观扩散系数（ADC）图的直方图分析（HA）对低级别（LGG）和高级别（HGG）胶质瘤分级的价值：我们比较了两种感兴趣区（ROI）放置方法的诊断性能（ROI 1：整个肿瘤；ROI 2：不包括囊肿和坏死部分的肿瘤）。我们对54名脑室上胶质瘤患者（18名LGG和36名HGG）进行了回顾性评估。所有受试者均接受了标准 3T 对比增强磁共振成像检查。两种分割方法计算出的 ADC 图直方图参数包括平均值、中位数、最大值、最小值、峰度、偏度、熵、标准差（sd）、阳性像素平均值（mpp）、阳性像素均匀度以及病变和正常白质之间的比率（r）。比较采用独立 t 检验、卡方检验或曼-惠特尼 U 检验。对于有统计学意义的结果，则构建接收者操作特征曲线，并通过最大化尤登指数确定最佳截断值、灵敏度和特异性：采用 ROI 1 方法，LGG 的 rADC 平均值、rADC 中位值和 rADC mpp 均明显高于 HGG；这些参数对预测组织学胶质瘤分级具有价值，其临界值（灵敏度、特异性）分别为 1.88（77.8%，61.1%）、2.25（44.4%，97.2%）和 1.88（77.8%，63.9%）。采用 ROI 2 方法，LGG 的 ADC 平均值、ADC 中位值、ADC mpp、ADC sd、ADC 最大值、rADC 中位值、rADC mpp、rADC 平均值、rADC sd 和 rADC 最大值均明显高于 HGG，而 LGG 的偏度则低于 HGG（0.27 [0.98] vs 0.91 [0.81]，p = 0.014）。在 ROI 2 中，ADC 中位数、ADC mpp、ADC 平均值、rADC 中位数、rADC mpp 和 rADC 平均值在区分胶质瘤等级方面表现良好，其临界值（灵敏度、特异性）分别为 1.28（77.8%，88.9%）、1.28（77.8%，88.9%）、1.25（77.8%，91.7%）、1.81（83.3%，91.7%）、1.74（83.3%，91.7%）和1.81（83.3%，91.7%）：HA参数对胶质瘤分级有一定价值。在测量HA参数时，将肿瘤的囊肿和坏死部分排除在外比将整个肿瘤作为ROI更好。在这种分割中，rADC 中位数在预测组织学胶质瘤分级方面表现最好，其次是 rADC mpp、rADC 平均值、ADC 中位数、ADC mpp 和 ADC 平均值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Clinica Terapeutica PHARMACOLOGY & PHARMACY-

CiteScore

2.50

自引率

0.00%

发文量

124

审稿时长

6-12 weeks

期刊介绍： La Clinica Terapeutica è una rivista di Clinica e Terapia in Medicina e Chirurgia, fondata nel 1951 dal Prof. Mariano Messini (1901-1980), Direttore dell''Istituto di Idrologia Medica dell''Università di Roma “La Sapienza”. La rivista è pubblicata come “periodico bimestrale” dalla Società Editrice Universo, casa editrice fondata nel 1945 dal Comm. Luigi Pellino. La Clinica Terapeutica è indicizzata su MEDLINE, INDEX MEDICUS, EMBASE/Excerpta Medica.