Related Experiment Video
Updated: Jan 21, 2026

Application of a New Mesh Fixation Method in Laparoscopic Incisional Hernia Repair
Published on: December 23, 2022
Regression of Sebaceous Carcinoma of the Eyelid after a Small Incisional Biopsy: Report of Two Cases
Seymour Brownstein1,2, Sonul Mehta3, Navdeep Nijhawan3
1Department of Ophthalmology, The Ottawa Hospital and University of Ottawa, Ottawa, Ontario, Canada.
Purpose:
To report 2 cases of regression of sebaceous carcinoma of the eyelid after a small incisional biopsy.
Methods:
Clinical, imaging, and histopathological findings are presented, with a literature review on regressing ocular tumors.
Results:
Our first patient was a 79-year-old man who presented with a 10-month history of progressive left upper eyelid ptosis caused by an eyelid tumor with orbital involvement and confirmed on magnetic resonance imaging. Our second patient was a 70-year-old woman who presented with ptosis with a left upper eyelid mass. Both patients underwent a small incisional biopsy of their lesion. The histopathological diagnoses in both cases were consistent with sebaceous carcinoma. Both patients refused exenteration. Follow-up clinical examination and imaging disclosed total regression of the ptosis and of the neoplasm with no sign of recurrence in both patients over a 4-year period for Case 1 and a 7-year period for Case 2.
Conclusion:
Regression following incisional biopsy of basal cell, squamous cell, and Merkel cell carcinoma, including of the eyelid, is well documented. To the best of our knowledge, our 2 cases of sebaceous carcinoma are the first to be reported with total involution clinically and on imaging of the tumor following partial incisional biopsy.
Related Concept Videos
Regression Toward the Mean
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Correlation and Regression
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Accessory Structures of the Skin: Sebaceous Glands
These glands that produce the oils on the skin and hair are holocrine glands. The mature...
Microsoft Excel: Regression Analysis
To perform regression...

