Calculation of Melanoma Mitotic Rate Standardized on Whole Slide Images
|
By LabMedica International staff writers Posted on 19 Oct 2021 |

Image: Mitotic Rate and Melanoma Diagnosis: The higher the mitotic count (circled), the more likely the tumor is to have metastasized (Photo courtesy of Arlen Ramsey)
Mitotic rate is an important factor with prognostic relevance in melanoma as well as in other neoplasms. Higher mitotic activity correlates significantly with reduced survival, and is an important parameter in prognostic models offering tailored predictions of prognosis for individual patients with melanoma.
However, accurate mitotic figure counting on hematoxylin-eosin–stained sections can be labor-intensive and challenging. Ideally, the area of the lesion containing the most mitotic figures (the “hot spot”) is identified, and then the mitotic rate is calculated in a 1-mm2 region encompassing the hot spot. The recent availability of digital whole slide image (WSI) data sets from glass slides creates new opportunities for computer-aided diagnostic technologies.
Pathologists at the University of Texas MD Anderson Cancer Center (Houston, TX, USA) established a standardized method to enclose a 1-mm2 region of interest for mitotic figure (MF) counting in melanoma based on WSIs and assess the method's effectiveness. They retrospectively searched their institutional pathology database and chose 30 melanoma cases with reported mitotic figures ranging from 0 to 28. The WSIs for these 30 melanoma cases were created by digitally scanning the original H&E-stained glass slides at ×20 magnification with a ScanScope digital pathology system (Aperio, Vista, CA, USA) with SVS format.
Mitotic figures were defined as the unequivocal presence of extensions of chromatin (condensed chromosomes) extending from a condensed chromatin mass, corresponding to either a metaphase or telophase figure. For each WSI, the mitotic rate was evaluated by first finding the hot spot (i.e., the region of the lesion containing the most mitotic figures) and then counting mitotic figures beginning in the hot spot and then extending to the immediately adjacent non-overlapping viewing fields until an area of tissue corresponding to 1 mm2 was assessed. Fixed-shape annotations with 500 × 500-μm squares or circles were applied depending on the specimen orientation during mitotic figure counting, because this approach is able to achieve convenient annotation and efficient counting while ensuring easy transition from traditional glass slides.
The scientists reported that of the monitors they examined, a 32-inch monitor with 3840 × 2160 resolution was optimal for counting MFs within a 1-mm2 region of interest in melanoma. When WSIs were viewed in the ImageScope viewer, ×10 to ×20 magnification during screening could efficiently locate a hot spot and ×20 to ×40 magnification during counting could accurately identify MFs. Fixed-shape annotations with 500 × 500-μm squares or circles can precisely and efficiently enclose a 1-mm2 region of interest. Their method on WSIs was able to produce a higher mitotic rate than with glass slides.
The authors concluded that mitotic figure counting in melanoma using WSIs is equivalent to using glass slides and can be efficiently done in real practice. In terms of annotation methodology, they recommended fixed-shape annotations with 4 squares or 5 circles in a setting of 500 × 500 μm to cover a 1-mm2 region. The pathologist can easily enclose the region of interest of the tumor and effectively match up irregular tumor regions with position adjustments of the four squares or five circles. If the tumor has a large contiguous area, a single-square annotation of 1000 × 1000 μm can be used. Their methodology can be potentially extended to calculating mitotic rate in other tumors. The study was published in the October, 2021 issue of the journal Archives of Pathology and Laboratory Medicine.
Related Links:
University of Texas MD Anderson Cancer Center
Aperio
However, accurate mitotic figure counting on hematoxylin-eosin–stained sections can be labor-intensive and challenging. Ideally, the area of the lesion containing the most mitotic figures (the “hot spot”) is identified, and then the mitotic rate is calculated in a 1-mm2 region encompassing the hot spot. The recent availability of digital whole slide image (WSI) data sets from glass slides creates new opportunities for computer-aided diagnostic technologies.
Pathologists at the University of Texas MD Anderson Cancer Center (Houston, TX, USA) established a standardized method to enclose a 1-mm2 region of interest for mitotic figure (MF) counting in melanoma based on WSIs and assess the method's effectiveness. They retrospectively searched their institutional pathology database and chose 30 melanoma cases with reported mitotic figures ranging from 0 to 28. The WSIs for these 30 melanoma cases were created by digitally scanning the original H&E-stained glass slides at ×20 magnification with a ScanScope digital pathology system (Aperio, Vista, CA, USA) with SVS format.
Mitotic figures were defined as the unequivocal presence of extensions of chromatin (condensed chromosomes) extending from a condensed chromatin mass, corresponding to either a metaphase or telophase figure. For each WSI, the mitotic rate was evaluated by first finding the hot spot (i.e., the region of the lesion containing the most mitotic figures) and then counting mitotic figures beginning in the hot spot and then extending to the immediately adjacent non-overlapping viewing fields until an area of tissue corresponding to 1 mm2 was assessed. Fixed-shape annotations with 500 × 500-μm squares or circles were applied depending on the specimen orientation during mitotic figure counting, because this approach is able to achieve convenient annotation and efficient counting while ensuring easy transition from traditional glass slides.
The scientists reported that of the monitors they examined, a 32-inch monitor with 3840 × 2160 resolution was optimal for counting MFs within a 1-mm2 region of interest in melanoma. When WSIs were viewed in the ImageScope viewer, ×10 to ×20 magnification during screening could efficiently locate a hot spot and ×20 to ×40 magnification during counting could accurately identify MFs. Fixed-shape annotations with 500 × 500-μm squares or circles can precisely and efficiently enclose a 1-mm2 region of interest. Their method on WSIs was able to produce a higher mitotic rate than with glass slides.
The authors concluded that mitotic figure counting in melanoma using WSIs is equivalent to using glass slides and can be efficiently done in real practice. In terms of annotation methodology, they recommended fixed-shape annotations with 4 squares or 5 circles in a setting of 500 × 500 μm to cover a 1-mm2 region. The pathologist can easily enclose the region of interest of the tumor and effectively match up irregular tumor regions with position adjustments of the four squares or five circles. If the tumor has a large contiguous area, a single-square annotation of 1000 × 1000 μm can be used. Their methodology can be potentially extended to calculating mitotic rate in other tumors. The study was published in the October, 2021 issue of the journal Archives of Pathology and Laboratory Medicine.
Related Links:
University of Texas MD Anderson Cancer Center
Aperio
Latest Pathology News
- AI-Powered Label-Free Optical Imaging Accurately Identifies Thyroid Cancer During Surgery
- Deep Learning–Based Method Improves Cancer Diagnosis
- ADLM Updates Expert Guidance on Urine Drug Testing for Patients in Emergency Departments
- New Age-Based Blood Test Thresholds to Catch Ovarian Cancer Earlier
- Genetics and AI Improve Diagnosis of Aortic Stenosis
- AI Tool Simultaneously Identifies Genetic Mutations and Disease Type
- Rapid Low-Cost Tests Can Prevent Child Deaths from Contaminated Medicinal Syrups
- Tumor Signals in Saliva and Blood Enable Non-Invasive Monitoring of Head and Neck Cancer
- Common Health Issues Can Influence New Blood Tests for Alzheimer’s Disease
- Blood Test Formula Identifies Chronic Liver Disease Patients with Higher Cancer Risk
- Tunable Cell-Sorting Device Holds Potential for Multiple Biomedical Applications
- AI Tool Outperforms Doctors in Spotting Blood Cell Abnormalities
- AI Tool Rapidly Analyzes Complex Cancer Images for Personalized Treatment
- Diagnostic Technology Performs Rapid Biofluid Analysis Using Single Droplet
- Novel Technology Tracks Hidden Cancer Cells Faster
- AI Tool Improves Breast Cancer Detection
Channels
Clinical Chemistry
view channel
Blood Test Could Predict and Identify Early Relapses in Myeloma Patients
Multiple myeloma is an incurable cancer of the bone marrow, and while many patients now live for more than a decade after diagnosis, a significant proportion relapse much earlier with poor outcomes.... Read more
Compact Raman Imaging System Detects Subtle Tumor Signals
Accurate cancer diagnosis often depends on labor-intensive tissue staining and expert pathological review, which can delay results and limit access to rapid screening. These conventional methods also make... Read moreMolecular Diagnostics
view channel
AI Tools Detect Early-Stage Cancer Using Simple Blood Test
Early cancer detection remains a major challenge, particularly in low- and middle-income countries, where access to advanced imaging, specialized laboratories, and trained oncologists is limited.... Read more
Sepsis Test Demonstrates Strong Performance in Post-Cardiac Surgery Patients
Sepsis is difficult to diagnose accurately in patients recovering from major surgery, as infection-related symptoms often overlap with non-infectious systemic inflammatory responses. This challenge is... Read moreHematology
view channel
MRD Tests Could Predict Survival in Leukemia Patients
Acute myeloid leukemia is an aggressive blood cancer that disrupts normal blood cell production and often relapses even after intensive treatment. Clinicians currently lack early, reliable markers to predict... Read more
Platelet Activity Blood Test in Middle Age Could Identify Early Alzheimer’s Risk
Early detection of Alzheimer’s disease remains one of the biggest unmet needs in neurology, particularly because the biological changes underlying the disorder begin decades before memory symptoms appear.... Read more
Microvesicles Measurement Could Detect Vascular Injury in Sickle Cell Disease Patients
Assessing disease severity in sickle cell disease (SCD) remains challenging, especially when trying to predict hemolysis, vascular injury, and risk of complications such as vaso-occlusive crises.... Read more
ADLM’s New Coagulation Testing Guidance to Improve Care for Patients on Blood Thinners
Direct oral anticoagulants (DOACs) are one of the most common types of blood thinners. Patients take them to prevent a host of complications that could arise from blood clotting, including stroke, deep... Read moreImmunology
view channel
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read more
Blood Test Could Identify Colon Cancer Patients to Benefit from NSAIDs
Colon cancer remains a major cause of cancer-related illness, with many patients facing relapse even after surgery and chemotherapy. Up to 40% of people with stage III disease experience recurrence, highlighting... Read moreMicrobiology
view channel
New UTI Diagnosis Method Delivers Antibiotic Resistance Results 24 Hours Earlier
Urinary tract infections affect around 152 million people every year, making them one of the most common bacterial infections worldwide. In routine medical practice, diagnosis often relies on rapid urine... Read more
Breakthroughs in Microbial Analysis to Enhance Disease Prediction
Microorganisms shape human health, ecosystems, and the planet’s climate, yet identifying them and understanding how they are related remains a major scientific challenge. Even with modern DNA sequencing,... Read moreTechnology
view channel
Pioneering Blood Test Detects Lung Cancer Using Infrared Imaging
Detecting cancer early and tracking how it responds to treatment remains a major challenge, particularly when cancer cells are present in extremely low numbers in the bloodstream. Circulating tumor cells... Read more
AI Predicts Colorectal Cancer Survival Using Clinical and Molecular Features
Colorectal cancer is one of the most common and deadly cancers worldwide, and accurately predicting patient survival remains a major clinical challenge. Traditional prognostic tools often rely on either... Read moreIndustry
view channel
WHX Labs Dubai to Gather Global Experts in Antimicrobial Resistance at Inaugural AMR Leaders’ Summit
World Health Expo (WHX) Labs in Dubai (formerly Medlab Middle East), which will be held at Dubai World Trade Centre from 10-13 February, will address the growing global threat of antimicrobial resistance... Read more







