Giant Congenital Melanocytic Nevus with Congenital Neurofibroma: A Case Report
CONCLUSION: Congenital neurofibromas can be associated with (or a component of) a GCMN.PMID:37584237 | DOI:10.1080/15513815.2023.2244582 (Source: Fetal and Pediatric Pathology)
Source: Fetal and Pediatric Pathology - August 16, 2023 Category: Pathology Authors: Atreyee Sarkar Debalina Karmakar Jayanta Kumar Saha Kalyani Saha Basu Uttara Chatterjee Koushik Saha Deepak K Mishra Source Type: research
Functional and Histological Changes in Umbilical Artery and Myometrium Isolated from IUGR Complicated Pregnancies
Conclusions: The pathogenesis of IUGR might be associated with the impairment in the functional responses of L-type Ca2+ channels and BKCa channels in HUA smooth muscle. The increased staining of myometrium and UC with HIF-1α in IUGR may indicate apoptosis, histological damage, and impaired fetal growth.PMID:37578058 | DOI:10.1080/15513815.2023.2245892 (Source: Fetal and Pediatric Pathology)
Source: Fetal and Pediatric Pathology - August 14, 2023 Category: Pathology Authors: Mustafa Sengul Baris Karadas Selin Acar-Sahan Fatma Simsek Ersan Horoz I şık Cem Özok Tijen Temiz Source Type: research
Assessing Intrauterine Retention according to Microscopic Stillbirth Features: A Cluster Analysis Approach
Conclusions: Hierarchical cluster analysis is able to classify stillbirths based on histopathological changes, roughly correlating to length of intrauterine retention. Such clusters, which rely solely on objective fetal and placental findings, can help clinicians more accurately assess the interval from death to delivery.PMID:37571967 | DOI:10.1080/15513815.2023.2246571 (Source: Fetal and Pediatric Pathology)
Source: Fetal and Pediatric Pathology - August 12, 2023 Category: Pathology Authors: Tess E K Cersonsky George R Saade Robert M Silver Uma M Reddy Donald J Dudley Halit Pinar Source Type: research
Decoding the Possible Molecular Mechanisms in Pediatric Wilms Tumor and Rhabdoid Tumor of the Kidney through Machine Learning Approaches
Conclusion: The application of the machine learning methods could identify mRNA/miRNA patterns to discriminate WT from RT. The identified miRNAs/mRNAs panels could offer novel insights into the underlying molecular mechanisms that are responsible for the initiation and development of these cancers. They may provide further insight into the pathogenesis, prognosis, diagnosis, and molecular-targeted therapy in pediatric renal tumors.PMID:37548233 | DOI:10.1080/15513815.2023.2242979 (Source: Fetal and Pediatric Pathology)
Source: Fetal and Pediatric Pathology - August 7, 2023 Category: Pathology Authors: Seyed Mahdi Hosseiniyan Khatibi Yalda Rahbar Saadat Seyyedeh Mina Hejazian Simin Sharifi Mohammadreza Ardalan Mohammad Teshnehlab Sepideh Zununi Vahed Saeed Pirmoradi Source Type: research
