Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 11 min ago
Peer-reviewedCC BY-NC-NDBMC urology

Predicting malignant histology in small renal masses: the role of anatomical and radiological nephrometry scores.

5 affiliations
  1. 1Department of Urology, Kütahya Health Science University, Kütahya, Turkey.
  2. 2Department of Urology, Kütahya Health Science University, Kütahya, Turkey. [email protected].
  3. 3Department of Urology, İzmir Bakırçay University, İzmir, Turkey. [email protected].
  4. 4Department of Radiology, Kütahya Health Science University, Kütahya, Turkey.
  5. 5Department of Urology, Health Science University, Konya City Hospital, Konya, Turkey.

Abstract

Purpose

To evaluate the ability of anatomical nephrometry scoring systems to predict malignant histology in patients undergoing surgery for small renal masses (SRMs) ≤ 4 cm.Materials and methods

Seventy-two patients with SRMs treated between January 2015 and March 2024 were retrospectively analyzed. Preoperative imaging was used to calculate eight nephrometry scoring systems: RENAL, PADUA, SPARE, DAP, ABC, C-index, NePhRO, Renal Pelvic Score and Zhongshan. Receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of each scoring system for predicting malignant histology. Associations between nephrometry scores and malignant histology were evaluated using univariable and multivariable logistic regression analyses.Results

Benign pathology was observed in 30.6% of patients. In univariable analyses, PADUA (p = 0.003), RENAL (p = 0.002), SPARE (p = 0.010), DAP (p = 0.012), ABC (p = 0.011), and Zhongshan (p = 0.044) scores were significantly associated with malignant histology. The C-index demonstrated the highest diagnostic performance (AUC = 0.850, p < 0.001). In multivariable analysis, the C-index remained the only independent predictor of malignancy (OR = 0.490, 95% CI 0.246-0.974, p = 0.042). Higher C-index values were associated with benign tumors, whereas lower values were associated with clear-cell renal cell carcinoma.Conclusion

Anatomical nephrometry scores, particularly the C-index, may serve as practical preoperative indicators of tumor biology in SRMs. Incorporating the C-index into clinical evaluation may improve risk stratification and potentially help reduce unnecessary surgical treatment for benign lesions after further validation.

Related

  1. Evaluation of Clinicopathological and Radiological Parameters in Predicting the Difficulty of Laparoscopic Cholecystectomy
    Prabhat Garg, Albail Singh Yadav, Saurabh Purohit +1
    International Journal of Medical Sciences and Academic ResearchPeer-reviewedCC BYFull textGeneral medicineDOAJ
  2. Reply to Comment on Diagnostic Accuracy of a Sonographic Scoring System in Predicting the Malignant Potential of a Soft-tissue Swelling.
    Anmol Mishra, Sohini Sengupta, Ankita Mishra
    Journal of medical ultrasoundPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
  3. Ultrasound-based deep learning radiomics with explainable machine learning for predicting benign and malignant thyroid nodules in lymphocytic thyroiditis: a multicenter study
    Ji Zhou, Wenwu Lu, Wei Wei +6
    Quantitative imaging in medicine and surgeryPeer-reviewedCC BY-NC-NDFull textMedical imaging & radiologyEurope PMC
  4. ¹⁵O-water PET-detected myocardial ischaemia and CT-derived FFR: Predicting the functional significance of anatomical stenosis.
    Vornanen J, Okkonen M, Ronkainen A-P +3
    Clinical physiology and functional imagingPeer-reviewedCC BY-NCFull textMedical imaging & radiologyEurope PMCPMC
  5. Foundation model-powered deep learning of endometrial histology for predicting the cumulative live birth of an in vitro fertilization cycle
    Nianbo Xu, Andy Chun Hang Chen, Hanzhang Ruan +10
    PLOS Digital HealthPeer-reviewedCC BY 4.0Full textPhysiologyObstetrics, gynaecology & paediatricsPLOS
BibTeX
@article{cetinkaya2026predicting,
  title = {{Predicting malignant histology in small renal masses: the role of anatomical and radiological nephrometry scores.}},
  author = {Mustafa Baturay Çetinkaya and İbrahim Kartal and Okan Alkış and Şahinde Atlanoğlu and Halil İbrahim İvelik and Şeref Çoşer and Mehmet Sevim and Bekir Aras},
  journal = {BMC urology},
  year = {2026},
  month = aug,
  doi = {10.1186/s12894-026-02291-2},
  url = {https://europepmc.org/article/MED/42958163},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Predicting malignant histology in small renal masses: the role of anatomical and radiological nephrometry scores.
AU  - Mustafa Baturay Çetinkaya
AU  - İbrahim Kartal
AU  - Okan Alkış
AU  - Şahinde Atlanoğlu
AU  - Halil İbrahim İvelik
AU  - Şeref Çoşer
AU  - Mehmet Sevim
AU  - Bekir Aras
PY  - 2026
DA  - 2026/08/03
JO  - BMC urology
DO  - 10.1186/s12894-026-02291-2
UR  - https://europepmc.org/article/MED/42958163
AB  - Purpose  To evaluate the ability of anatomical nephrometry scoring systems to predict malignant histology in patients undergoing surgery for small renal masses (SRMs) ≤ 4 cm.Materials and methods  Seventy-two patients with SRMs treated between January 2015 and March 2024 were retrospectively analyzed. Preoperative imaging was used to calculate eight nephrometry scoring systems: RENAL, PADUA, SPARE, DAP, ABC, C-index, NePhRO, Renal Pelvic Score and Zhongshan. Receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of each scoring system for predicting malignant histology. Associations between nephrometry scores and malignant histology were evaluated using univariable and multivariable logistic regression analyses.Results  Benign pathology was observed in 30.6% of patients. In univariable analyses, PADUA (p = 0.003), RENAL (p = 0.002), SPARE (p = 0.010), DAP (p = 0.012), ABC (p = 0.011), and Zhongshan (p = 0.044) scores were significantly associated with malignant histology. The C-index demonstrated the highest diagnostic performance (AUC = 0.850, p < 0.001). In multivariable analysis, the C-index remained the only independent predictor of malignancy (OR = 0.490, 95% CI 0.246-0.974, p = 0.042). Higher C-index values were associated with benign tumors, whereas lower values were associated with clear-cell renal cell carcinoma.Conclusion  Anatomical nephrometry scores, particularly the C-index, may serve as practical preoperative indicators of tumor biology in SRMs. Incorporating the C-index into clinical evaluation may improve risk stratification and potentially help reduce unnecessary surgical treatment for benign lesions after further validation.
SN  - 1471-2490
ER  -