Abstract
Objectives
To illustrate tumor contour irregularity on preoperative imaging with a practical method and further determine its value in predicting disease-free survival (DFS) in patients with pRCC (papillary renal cell carcinoma).
Methods
We performed a retrospective single-institution review of 267 Chinese pRCC patients between March 2009 and May 2019. Contour irregularity on cross-section was classified into smooth but distorted margin, unsmooth and sharply nodular margin, and blurred margin. Then, the ratio of the cross-section numbers of irregularity and the total tumor was defined as the contour irregular degree (CID). Cox regression and Kaplan-Meier analysis were performed to analyze the impact of CID on DFS. Then, the prognostic performance of CID was compared with pRCC risk stratification published by Leibovich et al.
Results
The median follow-up was 45 months (IQR: 23–69), in which 27 (10%) patients had metastasis or recurrence. Observed DFS rates were 95%, 90%, and 88% at 1, 3, and 5 years. The CID was an independent prognostic factor of DFS (HR = 1.048, 95% CI = 1.029–1.068, p < 0.001). The Kaplan-Meier plot showed that high-risk patients (CID ≥ 50%) tended to have a significantly shorter DFS (p < 0.001). The CID and Leibovich’s pRCC model for DFS prediction had a C-index of 0.934 (95% CI = 0.907–0.961) and 0.833 (95% CI = 0.739–0.927) respectively.
Conclusions
With our standard and practical method, the CID can be a reliable imaging marker for DFS prediction in patients with pRCC.
Key Points
• The updated contour irregularity was an independent parameter for predicting disease-free survival in patients with pRCC.
• High-risk pRCC patients (contour irregular degree ≥ 50%) tended to have a shorter disease-free survival.
• Tumor contour irregularity in pRCC risk stratification outperformed Leibovich’s model from our cohort.
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Abbreviations
- CI:
-
Confidence interval
- CID:
-
Contour irregular degree
- DFS:
-
Disease-free survival
- HR:
-
Hazard ratio
- IQR:
-
Interquartile range
- OR:
-
Odds ratio
- PRCC:
-
Papillary renal cell carcinoma
References
Linehan WM, Spellman PT, Ricketts CJ et al (2016) Comprehensive molecular characterization of papillary renal-cell carcinoma. N Engl J Med 374:135–145
Motzer RJ, Hutson TE, Cella D et al (2013) Pazopanib versus sunitinib in metastatic renal-cell carcinoma. N Engl J Med 369:722–731
Choueiri TK, Motzer RJ (2017) Systemic therapy for metastatic renal-cell carcinoma. N Engl J Med 376:354–366
Shuch B, Hahn AW, Agarwal N (2017) Current treatment landscape of advanced papillary renal cancer. J Clin Oncol 35:2981–2983
Albiges L, Flippot R, Rioux-Leclercq N, Choueiri TK (2018) Non-clear cell renal cell carcinomas: from shadow to light. J Clin Oncol:O2018792531. https://doi.org/10.1200/JCO.2018.79.2531
Kay FU, Canvasser NE, Xi Y et al (2018) Diagnostic performance and interreader agreement of a standardized MR imaging approach in the prediction of small renal mass histology. Radiology 287:543–553
Leslie S, Gill IS, de Castro AA et al (2014) Renal tumor contact surface area: a novel parameter for predicting complexity and outcomes of partial nephrectomy. Eur Urol 66:884–893
Gill IS, Aron M, Gervais DA, Jewett MA, Di J (2010) Clinical practice. Small renal mass. N Engl J Med 2:154–155
Karlo CA, Di Paolo PL, Chaim J et al (2014) Radiogenomics of clear cell renal cell carcinoma: associations between CT imaging features and mutations. Radiology 270:464–471
Jamshidi N, Jonasch E, Zapala M et al (2015) The radiogenomic risk score: construction of a prognostic quantitative, noninvasive image-based molecular assay for renal cell carcinoma. Radiology 277:114–123
Hotker AM, Karlo CA, Zheng J et al (2016) Clear cell renal cell carcinoma: associations between CT features and patient survival. AJR Am J Roentgenol 206:1023–1030
Yamada T, Endo M, Tsuboi M et al (2008) Differentiation of pathologic subtypes of papillary renal cell carcinoma on CT. AJR Am J Roentgenol 191:1559–1563
Rosenkrantz AB, Sekhar A, Genega EM et al (2013) Prognostic implications of the magnetic resonance imaging appearance in papillary renal cell carcinoma. Eur Radiol 23:579–587
Davarpanah AH, Spektor M, Mathur M, Israel GM (2016) Homogeneous T1 hyperintense renal lesions with smooth borders: is contrast-enhanced MR imaging needed? Radiology 280:128–136
Yap FY, Hwang DH, Cen SY et al (2018) Quantitative contour analysis as an image-based discriminator between benign and malignant renal tumors. Urology 114:121–127
Parker WP, Cheville JC, Frank I et al (2017) Application of the Stage, Size, Grade, and Necrosis (SSIGN) score for clear cell renal cell carcinoma in contemporary patients. Eur Urol 71:665–673
Pal SK, Ali SM, Yakirevich E et al (2018) Characterization of clinical cases of advanced papillary renal cell carcinoma via comprehensive genomic profiling. Eur Urol 73:71–78
Edge SB, Compton CC (2010) The American Joint Committee on Cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM. Ann Surg Oncol 17:1471–1474
Delahunt B, Cheville JC, Martignoni G et al (2013) The International Society of Urological Pathology (ISUP) grading system for renal cell carcinoma and other prognostic parameters. Am J Surg Pathol 37:1490–1504
Moch H, Cubilla AL, Humphrey PA, Reuter VE, Ulbright TM (2016) The 2016 WHO classification of tumours of the urinary system and male genital organs-part a: renal, penile, and testicular tumours. Eur Urol 70:93–105
Marszalek M, Carini M, Chlosta P et al (2012) Positive surgical margins after nephron-sparing surgery. Eur Urol 61:757–763
Leibovich BC, Lohse CM, Cheville JC et al (2018) Predicting oncologic outcomes in renal cell carcinoma after surgery. Eur Urol 73:772–780
Margulis V, Tamboli P, Matin SF, Swanson DA, Wood CG (2008) Analysis of clinicopathologic predictors of oncologic outcome provides insight into the natural history of surgically managed papillary renal cell carcinoma. Cancer 112:1480–1488
Brú A, Albertos S, Luis Subiza J, García-Asenjo JL, Brú I (2003) The universal dynamics of tumor growth. Biophys J 85:2948–2961
Deisboeck TS, Guiot C, Delsanto PP, Pugno N (2006) Does cancer growth depend on surface extension? Med Hypotheses 67:1338–1341
Perez-Beteta J, Molina-Garcia D, Ortiz-Alhambra JA et al (2018) Tumor surface regularity at MR imaging predicts survival and response to surgery in patients with glioblastoma. Radiology 288:218–225
Acknowledgments
The authors thank Yeqing Xu for his valuable collaboration with the pictures.
Funding
This study has received funding by Scientific Research Cultivation and Medical Innovation Project of Fujian Province (No. 2019CXB33), Fujian Province Department of Science and Technology (No. 2019D025), Medical and Health Key Project of Xiamen (No.3502Z20199716), and Shanghai Municipal Health Commission (No.2019SY073).
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The scientific guarantor of this publication is Jianjun Zhou.
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The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
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No complex statistical methods were necessary for this paper.
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Written informed consent was not required for this study because this study is a retrospective study and patients have full autonomy in decision-making.
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Institutional Review Board approval was not required because this study is a retrospective study and patients have full autonomy in decision-making.
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• retrospective
• diagnostic or prognostic study
• performed at one institution
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Dai, C., Huang, J., Li, Y. et al. Tumor contour irregularity on preoperative imaging: a practical and useful prognostic parameter for papillary renal cell carcinoma. Eur Radiol 31, 3745–3753 (2021). https://doi.org/10.1007/s00330-020-07456-7
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DOI: https://doi.org/10.1007/s00330-020-07456-7