Mayo Imaging Classification for ADPKD: Risk Stratification and Treatment Guidance
Overview and Purpose
The Mayo Imaging Classification (MIC) uses height-adjusted total kidney volume (htTKV) and patient age to stratify ADPKD patients into five risk groups (1A through 1E), with classes 1C-1E identifying rapid progressors who require consideration for disease-modifying therapy such as tolvaptan. 1
The classification predicts both the rate of eGFR decline and timing of kidney failure, providing essential prognostic information to guide treatment decisions. 1, 2
Classification System Structure
Class 1 (Typical ADPKD)
- Characterized by bilateral, diffuse cystic involvement with mild to severe parenchymal replacement, where all cysts contribute similarly to total kidney volume 1
- Only Class 1 patients should be classified using MIC – the system is invalid for atypical presentations 1
- Subdivided into five risk groups (1A-1E) based on htTKV plotted against age on the Mayo nomogram 1
Class 2 (Atypical ADPKD)
- Comprises unilateral, segmental, asymmetric, or lopsided cyst distributions and bilateral disease with acquired atrophy 1
- htTKV has limited prognostic value in this group 1
- Represents approximately 5-10% of ADPKD patients 3
- These patients are older, less likely to have family history, less likely to have detectable PKD1/PKD2 mutations, and have significantly better renal prognosis 4
Risk Stratification by Class
Slow Progressors (Classes 1A-1B)
- Annual eGFR decline: -1.54 mL/min/year (1A) and -2.06 mL/min/year (1B) 5
- Annual kidney volume growth: 1.2%/year (1A) and 3.8%/year (1B) 5
- Lower risk of progression to kidney failure 2
Rapid Progressors (Classes 1C-1E)
- Annual eGFR decline: -3.58 mL/min/year (1C), -3.7 mL/min/year (1D), and -4.52 mL/min/year (1E) 5
- Annual kidney volume growth: 5.3%/year (1C), 9.4%/year (1D), and 11.7%/year (1E) 5
- These classes identify candidates for tolvaptan therapy based on accelerated disease progression 1, 2
- Hazard ratio for renal composite outcomes is 4.09 compared to slow progressors 5
Imaging Methodology
Preferred Modalities
- MRI or CT with automated/semi-automated volumetric tools provides the most accurate htTKV measurement 1
- The ellipsoid equation serves as an acceptable alternative calculation method 1
- Ultrasound-derived measurements are less precise but retain prognostic relevance 1
Measurement Technique
- Calculate total kidney volume from imaging 1
- Adjust for patient height to obtain htTKV 1
- Plot htTKV against patient age on the Mayo nomogram to assign risk class 1
Special Considerations for Exophytic Cysts
- Prominent exophytic cysts artificially inflate TKV measurements and should be excluded from calculations 1, 3
- Recalculating htTKV after excluding exophytic cysts improves specificity for predicting CKD stage 3 from 82.6% to 84.2% 3
- This adjustment reduces mean paired difference between predicted and observed eGFR from 17.6 to 4.0 mL/min/1.73 m² for Class 2Ae patients 3
Clinical Validation and Performance
Stability and Predictive Accuracy
- 82% of patients remain in their baseline Mayo class over time 6
- The classification successfully predicts kidney failure development, though sensitivity and positive predictive values are limited 6
- Observed eGFR decline matches predictions for classes 1A-1D, but is significantly slower than predicted for class 1E 6
- P10 accuracy (prediction within 10% of actual value) ranges from 37.5% to 59.5% in classes 1C-1E, indicating substantial individual variability 7
Important Limitations
- Marked interindividual variability exists within each class – not all patients in rapid progressor classes decline at the same rate 6
- The Mayo Clinic future eGFR equation may underestimate the actual rate of decline in classes 1C-1E 7
- A polynomial model allowing nonlinear eGFR decline provides more accurate predictions than linear models 6
Contraindications to MIC Use
Do not apply MIC in the following scenarios: 1
- Atypical imaging patterns (Class 2) where htTKV poorly predicts eGFR decline
- Patients with pathogenic variants in genes other than PKD1 or PKD2
- Cases with prominent exophytic cysts unless TKV is recalculated excluding these cysts
Integration with Treatment Decisions
Tolvaptan Eligibility
- Classes 1C-1E identify rapid progressors who are candidates for tolvaptan therapy based on their accelerated eGFR decline and earlier progression to kidney failure 1, 2
- The classification provides objective, imaging-based criteria to support treatment initiation decisions 2
Genetic Considerations
- PKD1 mutations cause more severe disease with kidney failure typically in the fifth decade 8
- PKD2 mutations lead to kidney failure typically in the seventh decade 8
- Genetic testing is recommended when imaging shows few cysts, when disease severity varies within families, or for evaluation of potential living kidney donors 2, 8
Common Pitfalls to Avoid
- Never apply MIC to Class 2 (atypical) patients – the prognostic value is invalid in this population 1
- Do not assume all patients within a given class will progress at identical rates – individual variability is substantial 6
- Avoid using original TKV measurements when prominent exophytic cysts are present – recalculate excluding these cysts 1, 3
- Do not rely solely on ultrasound for precise volumetric assessment when MRI or CT is available 1
- Remember that up to 10% of ADPKD cases arise from de novo mutations, so negative family history does not exclude the diagnosis 8