■甲状腺癌是全球第9位最流行的癌症,占2020年586,202例病例和43,636例死亡。计算机图像分析,利用人工智能算法,成为肿瘤评估的潜在工具。
■本研究旨在通过灰度共生矩阵(GLCM)评估和比较滤泡性肿瘤的染色质结构特征和核尺寸,分形,和形态计量学分析.
■一项涉及115例甲状腺恶性肿瘤的回顾性横断面研究,特别是49例甲状腺乳头状癌,滤泡形态,于2021年7月至2023年7月进行。获得了伦理认可,和组织病理学检查,随着图像分析,使用ImageJ软件进行。
■在对比中观察到统计学上的显着差异(2.426(1.774-3.412)与2.664(1.963-3.610),p=.002),相关性(1.202(1.071-1.298)与0.892(0.833-0.946),p=.01),和ASM(0.071(0.090-0.131)对0.044(0.019-0.102),p=.036)在NIFTP和IFVPTC之间。然而,形态学参数在组织学变异中没有产生统计学上的显著差异.
■计算机图像分析,虽然在亚型区分方面很有前途,需要进一步完善和集成传统的诊断参数。该研究提出了在常规组织病理学评估由于组织可用性有限而面临局限性的情况下的潜在应用。尽管有小样本量和回顾性设计等限制,这些发现有助于了解甲状腺癌的特征,并强调需要综合各种诊断方法进行综合评估.
UNASSIGNED: Thyroid carcinoma ranks as the 9th most prevalent global cancer, accounting for 586,202 cases and 43,636 deaths in 2020. Computerized image analysis, utilizing artificial intelligence algorithms, emerges as a potential tool for tumor evaluation.
UNASSIGNED: This study aims to assess and compare chromatin textural characteristics and nuclear dimensions in follicular neoplasms through gray-level co-occurrence matrix (GLCM), fractal, and morphometric analysis.
UNASSIGNED: A retrospective cross-sectional study involving 115 thyroid malignancies, specifically 49 papillary thyroid carcinomas with follicular morphology, was conducted from July 2021 to July 2023. Ethical approval was obtained, and histopathological examination, along with image analysis, was performed using ImageJ software.
UNASSIGNED: A statistically significant difference was observed in contrast (2.426 (1.774-3.412) vs 2.664 (1.963-3.610), p = .002), correlation (1.202 (1.071-1.298) vs 0.892 (0.833-0.946), p = .01), and ASM (0.071 (0.090-0.131) vs 0.044 (0.019-0.102), p = .036) between NIFTP and IFVPTC. However, morphometric parameters did not yield statistically significant differences among histological variants.
UNASSIGNED: Computerized image analysis, though promising in subtype discrimination, requires further refinement and integration with traditional diagnostic parameters. The study suggests potential applications in scenarios where conventional histopathological assessment faces limitations due to limited tissue availability. Despite limitations such as a small sample size and a retrospective design, the findings contribute to understanding thyroid carcinoma characteristics and underscore the need for comprehensive evaluations integrating various diagnostic modalities.