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PRDM1: a useful indicator of differentiation and prognosis in esophageal squamous cell carcinoma. PRDM1:食管鳞状细胞癌鉴别和预后的有用指标。
IF 2.3 3区 医学 Q2 PATHOLOGY Pub Date : 2026-02-28 DOI: 10.1186/s13000-026-01773-z
Anqi Huang, Xingran Jiang, Yanan Qi, Jiaqi Chen, Xinmeng Guo, Jun Lu, Mulan Jin
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引用次数: 0
Integrating histopathology and immune marker analysis for machine learning-based colorectal cancer prognostics. 基于机器学习的结直肠癌预后整合组织病理学和免疫标记分析。
IF 2.3 3区 医学 Q2 PATHOLOGY Pub Date : 2026-02-23 DOI: 10.1186/s13000-026-01754-2
Mohamed J Saadh, Tamara Nazar Saeed, Karar H Alfarttoosi, Suhas Ballal, Priya Priyadarshini Nayak, Abhayveer Singh, V Kavitha, Aziz Kubaev, Waam Mohammed Taher, Mariem Alwan, Mahmood Jasem Jawad, Ali M Ali Al-Nuaimi, Bagher Farhood
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引用次数: 0
Pathomic model to predict the expression of UQCRH and overall survival of lung adenocarcinoma patients. 病理模型预测肺腺癌患者UQCRH表达及总生存期。
IF 2.3 3区 医学 Q2 PATHOLOGY Pub Date : 2026-02-13 DOI: 10.1186/s13000-026-01770-2
Yong Chen, Jie Liu, Guoping Li, Huifang Huang
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引用次数: 0
Assessing the influence of two deep-learning assistance modes on pathologists in cancer identification. 评估两种深度学习辅助模式对病理学家癌症鉴定的影响。
IF 2.3 3区 医学 Q2 PATHOLOGY Pub Date : 2026-02-13 DOI: 10.1186/s13000-026-01747-1
Wen-Yu Chuang, Wei-Hsiang Yu, Yu-Jen Liu, Chao-Cheng Huang, Kam-Fai Lee, Cheng-Cheng Hwang, Liang-Che Chang, Shir-Hwa Ueng, Chi-Ju Yeh, Huei-Chieh Chuang, Jui Lan, Hui-Shan Huang, Shang-Hung Chang, Tong-Hong Wang, Tsung-Chieh Lin, Chun-Te Wu, Jau-Song Yu, Chuen Hsueh, Chang-Fu Kuo, Chao-Yuan Yeh
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引用次数: 0
"Clinicopathological profile of paragangliomas: A 5-Year retrospective analysis from a single tertiary Centre". 副神经节瘤的临床病理特征:来自单一三级中心的5年回顾性分析。
IF 2.3 3区 医学 Q2 PATHOLOGY Pub Date : 2026-02-13 DOI: 10.1186/s13000-026-01771-1
Geetha V, Megha Murali, Bhavna Nayal, Deepak Nayak, Vidya Monappa, Shreya Garg, P S Priya, Girish Menon, Raghavendra Nayak, Kailesh Pujary, R Balakrishnan, Suresh Pillai
{"title":"\"Clinicopathological profile of paragangliomas: A 5-Year retrospective analysis from a single tertiary Centre\".","authors":"Geetha V, Megha Murali, Bhavna Nayal, Deepak Nayak, Vidya Monappa, Shreya Garg, P S Priya, Girish Menon, Raghavendra Nayak, Kailesh Pujary, R Balakrishnan, Suresh Pillai","doi":"10.1186/s13000-026-01771-1","DOIUrl":"10.1186/s13000-026-01771-1","url":null,"abstract":"","PeriodicalId":11237,"journal":{"name":"Diagnostic Pathology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13005369/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146194374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Clinicopathological and prognostic insights into Embryonal Tumors with Multilayered Rosettes (ETMRs). 多层莲座胚胎肿瘤(ETMRs)的临床病理和预后分析。
IF 2.3 3区 医学 Q2 PATHOLOGY Pub Date : 2026-02-10 DOI: 10.1186/s13000-026-01766-y
Noura A A Ebrahim, Heba A Abdelbaky, Ahmed Mustafa Abd Elsalam, Mustafa A Hussein, Nancy H Amin
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引用次数: 0
Sjögren's syndrome-focusassist: lymphocytic focus assessment in Sjögren's syndrome: a deep learning and spatial analysis approach. Sjögren综合征聚焦辅助:Sjögren综合征的淋巴细胞焦点评估:深度学习和空间分析方法。
IF 2.3 3区 医学 Q2 PATHOLOGY Pub Date : 2026-02-10 DOI: 10.1186/s13000-026-01756-0
Jiajun Zhang, Yi Yang, Xuejing Wang, Yexing Zhang, Benhao Wang, Yuan Zong, Tong Wu, Jiawen Zhao, Xiaoyu Zhao, Wenshuo Tang, Yonghong He, Qian Da, Liting Jiang, Tian Guan, Qiming He
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引用次数: 0
SOX17/PAX8 dual immunohistochemical expression in the diagnosis of Müllerian carcinomas. SOX17/PAX8双免疫组化表达在<s:1>勒氏癌诊断中的意义。
IF 2.3 3区 医学 Q2 PATHOLOGY Pub Date : 2026-02-10 DOI: 10.1186/s13000-026-01746-2
Manar Moustafa, Marwa Ahmed Mohamed Abdalrahman, Heba Mahmoud Abdelgeleel

Background: Metastatic Müllerian carcinomas, including endometrial and ovarian adenocarcinomas, are challenging to diagnose due to factors like similar malignancies, insufficient clinical history, multiorgan dissemination, and small tumor specimens. Immunohistochemistry (IHC) stains are commonly used to identify these cancers. PAX8 is a widely used IHC marker with varying sensitivity levels for different types of gynecologic carcinomas. SOX17, a transcription factor involved in embryonic differentiation and development, has high specificity for ovarian and endometrial carcinomas but is weakly expressed in other epithelial neoplasms.

Methods: . 56 endometrial carcinomas cases,56 ovarian cancer case and 56 cases of non-gynecological cancer, were subjected to immunohistochemical (IHC) analysis of SOX17 and PAX8.

Results: In endometrial carcinomas, PAX8-high/SOX17-high co-expression strongly favored endometrioid histology (90% vs. 68.8%, p = 0.04), while ovarian high-grade serous carcinomas commonly expressed PAX8 (78.9% high) with heterogeneous SOX17 expression (47.4% high). Notably, double-negative PAX8/SOX17 status completely excluded Müllerian origin in metastases from colorectal, breast, and pulmonary primary tumors (100% specificity), though renal (all PAX8+) and thyroid neoplasms (63.6% PAX8+) required additional markers for distinction. Statistical analyses confirmed subtype-specific trends (p < 0.05 for all applicable comparisons) with loss of SOX17 associated with aggressive histotypes (25% negative in serous versus 10% in endometrioid).

Conclusions: Müllerian carcinomas can be distinguished from non-gynecological metastases using PAX8 and SOX17 immunohistochemistry, with PAX8-high/SOX17-high patterns strongly indicating endometrioid differentiation and double-negative results excluding gynecologic origin with consistency in colorectal, breast, and pulmonary carcinomas. Renal and thyroid carcinomas are the diagnostic traps on the basis of PAX8 expression and require additional markers for final classification in metastatic workups.

背景:转移性勒氏癌,包括子宫内膜和卵巢腺癌,由于恶性肿瘤相似、临床病史不充分、多器官播散和肿瘤标本小等因素,诊断具有挑战性。免疫组织化学(IHC)染色通常用于识别这些癌症。PAX8是一种广泛使用的免疫组化标志物,对不同类型的妇科癌具有不同的敏感性。SOX17是一种参与胚胎分化和发育的转录因子,在卵巢癌和子宫内膜癌中具有高特异性,但在其他上皮性肿瘤中表达较弱。方法:。对56例子宫内膜癌、56例卵巢癌和56例非妇科肿瘤的SOX17和PAX8进行免疫组化(IHC)分析。结果:在子宫内膜癌中,PAX8-high/SOX17-high共表达强烈支持子宫内膜样组织学(90%比68.8%,p = 0.04),而卵巢高级别浆液性癌普遍表达PAX8(高78.9%),异质SOX17表达(高47.4%)。值得注意的是,双阴性PAX8/SOX17状态完全排除了结肠直肠、乳房和肺部原发性肿瘤转移的勒氏起源(100%特异性),尽管肾脏(所有PAX8+)和甲状腺肿瘤(63.6% PAX8+)需要额外的标记物来区分。结论:利用PAX8和SOX17免疫组化技术可将勒氏癌与非妇科转移癌区分出来,PAX8-高/SOX17-高模式强烈提示子宫内膜样分化,排除妇科来源的双阴性结果在结直肠癌、乳腺癌和肺癌中具有一致性。肾癌和甲状腺癌是基于PAX8表达的诊断陷阱,在转移性检查中需要额外的标志物进行最终分类。
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引用次数: 0
Hobnail hemangioma-a systematic review and a case report of an intraoral lesion with Dabska tumor-like features. 鞋钉血管瘤:系统回顾并报告一例具有Dabska肿瘤样特征的口腔内病变。
IF 2.3 3区 医学 Q2 PATHOLOGY Pub Date : 2026-02-09 DOI: 10.1186/s13000-026-01750-6
Elina Mari Susanna Salasuo, Riitta Hannele Pajukanta, Jetta Kelppe, Jouko Lohi, Tommy Wilkman, Hellevi Merja Anneli Ruokonen, Tuula Anneli Salo
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引用次数: 0
Interobserver agreement among pathologists in the histopathological diagnosis and classification of colorectal polyps. 病理学家在结直肠息肉的组织病理学诊断和分类方面的观察一致。
IF 2.3 3区 医学 Q2 PATHOLOGY Pub Date : 2026-02-09 DOI: 10.1186/s13000-026-01764-0
Elham Jafari, Mahdiye Lashkarizadeh, Nazanin Zeinali Nezhad, Haniye Rahmani

Objective: To assess interobserver agreement among pathologists in the diagnosis and classification of colorectal polyps.

Methods: This cross-sectional study was conducted at Afzalipour Educational and Medical Center from 2017 to 2018. Three experienced pathologists independently evaluated 253 colorectal polyp specimens, encompassing a spectrum of neoplastic and non-neoplastic lesions. Polyps were classified into six categories and dysplasia was graded. Interobserver agreement was assessed using weighted Cohen's kappa coefficient.

Results: The mean age of patients was 51.09 ± 20.11 years, with an average polyp size of 6.6 ± 0.6 mm. Most polyps (49.8%) were located in the colon, with 69.1% measuring 1-5 mm. Neoplastic polyps constituted 59.3% of the samples. Interobserver agreement for overall histopathological diagnosis was good (κ = 0.66). Agreement was very good for carcinoma in situ (κ = 0.87), good for adenomatous (κ = 0.78) and juvenile polyps (κ = 0.76), moderate for hyperplastic polyps (κ = 0.45), and poor for Inflammatory Polyps (κ = 0.16), solitary rectal ulcer (κ = 0.12), and sessile serrated polyps (κ = 0.14). Agreement on dysplasia grading was fair (κ = 0.32).

Conclusion: While agreement was good for adenomatous polyps and carcinoma, considerable variability exists in diagnosing certain polyp types and grading dysplasia. These findings highlight the need for standardized criteria and additional training to improve consistency in colorectal polyp assessment, particularly for serrated lesions and dysplasia grading.

目的:评价病理医师对结直肠息肉诊断和分类的一致性。方法:本横断面研究于2017 - 2018年在阿夫扎利普尔教育和医疗中心进行。三位经验丰富的病理学家独立评估了253例结直肠息肉标本,包括肿瘤和非肿瘤病变。息肉分为6类,发育不良分级。使用加权科恩卡帕系数评估观察者间的一致性。结果:患者平均年龄51.09±20.11岁,息肉大小平均6.6±0.6 mm。大多数息肉(49.8%)位于结肠,其中69.1%的息肉长度为1-5 mm。肿瘤性息肉占59.3%。整体组织病理学诊断的观察者间一致性良好(κ = 0.66)。原位癌(κ = 0.87)、腺瘤性息肉(κ = 0.78)和幼年性息肉(κ = 0.76)的一致性非常好,增生性息肉(κ = 0.45)的一致性中等,炎性息肉(κ = 0.16)、孤立性直肠溃疡(κ = 0.12)和无梗锯齿状息肉(κ = 0.14)的一致性较差。不典型增生分级的一致性尚可(κ = 0.32)。结论:虽然腺瘤性息肉和癌的诊断是一致的,但某些类型的息肉的诊断和不典型增生的分级存在相当大的差异。这些发现强调需要标准化的标准和额外的培训,以提高结肠直肠息肉评估的一致性,特别是对锯齿状病变和不典型增生分级。
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Diagnostic Pathology
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