Correction: MRI-based habitat radiomics for predicting WHO/ISUP nuclear grade in clear cell renal cell carcinoma - Report - MDSpire

Correction: MRI-based habitat radiomics for predicting WHO/ISUP nuclear grade in clear cell renal cell carcinoma

  • By

  • Naijing Shi

  • Cong Zhang

  • Xinyi Li

  • Mohan Hao

  • Chong Liu

  • May 18, 2026

  • 0 min

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Clinical Report: Correction on MRI-derived Habitat Radiomics in RCC

Overview

This report addresses a correction in the MRI-derived habitat radiomics study for predicting WHO/ISUP nuclear grade in clear cell renal cell carcinoma (ccRCC). The correction clarifies the mislabeling of the test set data, which is crucial for accurate interpretation of the study's findings.

Background

Renal cell carcinoma (RCC) is a significant global health concern, with over 337,000 new cases diagnosed annually. Accurate grading of ccRCC is essential for prognosis and treatment planning, with the WHO/ISUP nuclear grade being a key histological prognostic factor. Recent advancements in MRI-derived radiomics offer promising noninvasive methods for predicting tumor grade, which could enhance clinical decision-making.

Data Highlights

SetLow-Grade (n)High-Grade (n)
Test Set7929

Key Findings

  • The original publication incorrectly labeled the 'Test Set' as 'Training Set'.
  • The corrected data indicates 79 low-grade and 29 high-grade tumors in the test set.
  • WHO/ISUP grading provides superior prognostic information compared to Fuhrman grading.
  • MRI is useful for preoperative assessment of venous involvement in RCC.
  • Radiomics approaches are maturing and show promise for noninvasive grade prediction in ccRCC.

Clinical Implications

Detail specific treatment strategies that may be influenced by MRI-derived radiomics.

Conclusion

The correction in the MRI-derived habitat radiomics study underscores the need for precision in clinical research reporting. Continued exploration of radiomics may lead to improved prognostic tools in the management of renal cell carcinoma.

Related Resources & Content

  1. Shi N, Zhang C, Li X, Hao M, Liu C, Front. Oncol., 2026 -- Correction: MRI-derived habitat radiomics for forecasting WHO/ISUP nuclear grade in clear cell renal cell carcinoma
  2. Diagnostic Imaging Techniques for Evaluating Renal Tumors and Assessing Treatment Response
  3. European Radiology — Predicting the Grade of Nonfunctioning Pancreatic Neuroendocrine Tumors Through Radiomics Analysis of Magnetic Resonance Imaging: A Multicenter Investigation
  4. Frontiers in Oncology — MRI-based habitat radiomics for preoperative prediction of axillary pathological complete response in breast cancer after neoadjuvant therapy: a multicenter study
  5. MRI-derived radiomic characteristics of the bladder wall distinguish patients with moderate to severe international prostate symptom scores
  6. EAU Guidelines on Renal Cell Carcinoma 2026
  7. Accuracy of CT-Based Radiomics Models for Preoperative Grading of Clear Cell Renal Cell Carcinoma: A Systematic Review and Meta-analysis - PubMed

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