{"title":"Volumetric apparent diffusion coefficient histogram analysis for determining the degree of differentiation of periampullary carcinomas","authors":"Mustafa Orhan Nalbant, Ercan Inci","doi":"10.28982/josam.7916","DOIUrl":null,"url":null,"abstract":"Background/Aim: The classification of periampullary adenocarcinomas into pancreatobiliary-type periampullary adenocarcinoma and intestinal-type periampullary adenocarcinoma (PPAC and IPAC, respectively) has gained significant acceptance in the medical community. A patient's prognosis is determined by the degree of differentiation of these tumor types. The objective of the present investigation was to assess the efficacy of volumetric apparent diffusion coefficient (ADC) histogram analysis in assessing the degree of differentiation for these two tumor types. Methods: This retrospective cohort research evaluated 54 PPAC (45 well-differentiated and nine poorly differentiated) and 15 IPAC (11 well-differentiated and four poorly differentiated) patients. Magnetic resonance imaging (1.5 T MRI) scans were used to evaluate the results. The features of the histogram for the ADC values were computed and incorporated several statistical measures, such as the mean, minimum, median, maximum, and percentiles in addition to the skewness, kurtosis, and variance. Results: In both PPAC and IPAC patients, the ADC values exhibited lower values in the poorly differentiated group when compared with the well-differentiated group. However, the changes between groups did not reach statistical significance. Among IPAC patients, the well-differentiated group had a larger kurtosis (P=0.048). In IPAC patients, the calculated value for the area under the curve (AUC) of kurtosis was determined to be 0.818. When the threshold was set at 0.123, the specificity and sensitivity were observed to be 90% and 75%, respectively. Conclusion: Our research indicates that the kurtosis of ADC is an effective indicator to determine the level of IPAC differentiation. Analysis of the histogram at increased b values can provide valuable insights to help determine the degree of differentiation of IPAC using a noninvasive technique.","PeriodicalId":30878,"journal":{"name":"International Journal of Surgery and Medicine","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Surgery and Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.28982/josam.7916","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background/Aim: The classification of periampullary adenocarcinomas into pancreatobiliary-type periampullary adenocarcinoma and intestinal-type periampullary adenocarcinoma (PPAC and IPAC, respectively) has gained significant acceptance in the medical community. A patient's prognosis is determined by the degree of differentiation of these tumor types. The objective of the present investigation was to assess the efficacy of volumetric apparent diffusion coefficient (ADC) histogram analysis in assessing the degree of differentiation for these two tumor types. Methods: This retrospective cohort research evaluated 54 PPAC (45 well-differentiated and nine poorly differentiated) and 15 IPAC (11 well-differentiated and four poorly differentiated) patients. Magnetic resonance imaging (1.5 T MRI) scans were used to evaluate the results. The features of the histogram for the ADC values were computed and incorporated several statistical measures, such as the mean, minimum, median, maximum, and percentiles in addition to the skewness, kurtosis, and variance. Results: In both PPAC and IPAC patients, the ADC values exhibited lower values in the poorly differentiated group when compared with the well-differentiated group. However, the changes between groups did not reach statistical significance. Among IPAC patients, the well-differentiated group had a larger kurtosis (P=0.048). In IPAC patients, the calculated value for the area under the curve (AUC) of kurtosis was determined to be 0.818. When the threshold was set at 0.123, the specificity and sensitivity were observed to be 90% and 75%, respectively. Conclusion: Our research indicates that the kurtosis of ADC is an effective indicator to determine the level of IPAC differentiation. Analysis of the histogram at increased b values can provide valuable insights to help determine the degree of differentiation of IPAC using a noninvasive technique.
背景/目的:壶腹周围腺癌分为胰胆管型壶腹周围腺癌和肠型壶腹周围腺癌(分别为PPAC和IPAC)已经在医学界得到了很大的认可。患者的预后取决于这些肿瘤类型的分化程度。本研究的目的是评估体积表观扩散系数(ADC)直方图分析在评估这两种肿瘤的分化程度方面的有效性。方法:回顾性队列研究评估54例PPAC(45例高分化,9例低分化)和15例IPAC(11例高分化,4例低分化)患者。采用磁共振成像(1.5 T MRI)扫描评估结果。计算ADC值的直方图特征,并结合几种统计措施,如平均值、最小值、中位数、最大值和百分位数,以及偏度、峰度和方差。结果:在PPAC和IPAC患者中,低分化组的ADC值均低于高分化组。但组间差异无统计学意义。在IPAC患者中,高分化组峰度较大(P=0.048)。IPAC患者峰度曲线下面积(AUC)计算值为0.818。当阈值为0.123时,特异性为90%,敏感性为75%。结论:ADC峰度是判断IPAC分化水平的有效指标。对增加b值的直方图进行分析可以提供有价值的见解,有助于使用无创技术确定IPAC的分化程度。