Background: Excision of parotid superficial lobe pleomorphic adenomas requires removal of a surrounding cuff of normal parotid tissue. Less aggressive dissection in removing pleomorphic adenomas that occur in the deep lobe of the parotid gland does not seem to compromise prognosis in these patients. We attempted to define histologic characteristics, differentiating superficial and deep lobe tumors, in an attempt to explain this clinical phenomenon.
Method: Thirty-one pleomorphic adenomas, 12 deep-lobe tumors, and 19 superficial lobe tumors were analyzed and compared, looking at tumor size, capsule thickness, penetration of tumor through capsule, and predominant cell types present.
Results: The superficial lobe tumors had significantly thinner capsules (p =.02). There was increased extracapsular extension of tumor in the superficial lobe group compared with the deep lobe group (79% and 58%, respectively). The tumors were larger in patients with deep lobe lesions (2.6 cm vs 3.6 cm). There was no difference in predominant cell types.
Conclusions: The anatomic location of deep lobe tumors is a likely explanation for the histologic differences observed in this study. These important differences allow less aggressive dissection in deep lobe tumors without compromising prognosis.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/hed.10281 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Postoperative Outcomes After Robotic Liver Resection of Caudate Lobe: A Systematic Review.
Medicina (Kaunas)
December 2024
Division of Hepato-Pancreato-Biliary, Oncologic and Robotic Surgery, Azienda Ospedaliero-Universitaria SS. Antonio e Biagio e Cesare Arrigo, 15121 Alessandria, Italy.
: Resection of the caudate lobe of the liver is considered a highly challenging surgical procedure due to the deep anatomic location of this segment and the relationships with major vessels. There is no clear evidence about the safety and effectiveness of robotic resection of the caudate lobe. The aim of this systematic review was to report data about the safety, technical feasibility, and postoperative outcomes of robotic caudate lobectomy.
View Article and Find Full Text PDFBiomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer's Disease Classification.
Bioengineering (Basel)
January 2025
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy.
As the leading cause of dementia worldwide, Alzheimer's Disease (AD) has prompted significant interest in developing Deep Learning (DL) approaches for its classification. However, it currently remains unclear whether these models rely on established biological indicators. This work compares a novel DL model using structural connectivity (namely, BC-GCN-SE adapted from functional connectivity tasks) with an established model using structural magnetic resonance imaging (MRI) scans (namely, ResNet18).
View Article and Find Full Text PDFThoracoscopic anatomical sublobar resection for deep interlobar lung cancer with fused fissure.
J Thorac Dis
December 2024
Department of Thoracic Surgery, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Background: The technical challenges associated with the removal of small nodules in challenging locations rather than peripheral locations remain unaddressed. We sought to illustrate the parenchymal-sparing surgical approach employed for deep interlobar lung cancer with fused fissures (DILCFFs).
Methods: A retrospective review of 43 patients with cT1N0M0 DILCFFs from January 2013 through December 2022 was performed.
Diffusion changes in minimally invasive parafascicular approach for deep-seated tumours: impact on clinical outcomes.
Neurosurg Rev
January 2025
Department of Neurosurgery, King's College Hospital Foundation Trust, London, UK.
Minimally invasive parafascicular surgery (MIPS) with the use of tubular retractors achieve a safe resection in deep seated tumours. Diffusion changes noted on postoperative imaging; the significance and clinical correlation of this remains poorly understood. Single centre retrospective cohort study of neuro-oncology patients undergoing MIPS.
View Article and Find Full Text PDFds-FCRN: three-dimensional dual-stream fully convolutional residual networks and transformer-based global-local feature learning for brain age prediction.
Brain Struct Funct
January 2025
Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, 100124, China.
The brain undergoes atrophy and cognitive decline with advancing age. The utilization of brain age prediction represents a pioneering methodology in the examination of brain aging. This study aims to develop a deep learning model with high predictive accuracy and interpretability for brain age prediction tasks.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!