This ccLS calculator and MRI report generator are for general health information only. It is not to be used as a replacement for medical advice, diagnosis, or treatment of any health condition or problem. Users of the website should not rely on information provided by the calculator for their own health problems.

2023年6月15日 · In this article, we provide a guide for using the ccLS system to assess an SRM by outlining imaging parameters and protocol design; discuss when to apply the ccLS algorithm; and describe the algorithm’s application, pitfalls, and areas for future development. A series of case examples depict the steps and nuances in using the ccLS system.

The high PPV of ccLS≥4 and high NPV of ccLS≤2 for ccRCC can help inform more selective use of invasive biopsies in patients with renal masses of any stage. Key Points: The positive predictive value of the clear cell likelihood score (ccLS) for detecting clear cell renal cell carcinoma was 5% (ccLS1), 6% (ccLS2), 35% (ccLS3), 78% (ccLS4 ...

2021年12月14日 · The clear cell likelihood score (ccLS) derived from multiparametric MRI is useful in noninvasively identifying the clear cell subtype, the most common and aggressive form of kidney cancer. Herein, a review of the ccLS is presented, including a step-by-step guide for image interpretation and additional guidance for its implementation in clinical ...

Key points: • The positive predictive value of the clear cell likelihood score (ccLS) for detecting clear cell renal cell carcinoma was 5% (ccLS1), 6% (ccLS2), 35% (ccLS3), 78% (ccLS4), and 93% (ccLS5). Sensitivity of ccLS ≥ 4 and specificity of ccLS ≤ 2 were 91% and 56%, respectively.

Utilizing prospectively assigned ccLS, we confirm that mpMRI can reasonably identify ccRCC histology in cT1a renal masses. Standardization of imaging protocols and reporting criteria such as the ccLS can be used to aid in the diagnosis and management of small renal masses.

2025年2月19日 · In 2017, Canvasser et al. (9) proposed the clear cell likelihood score (ccLS) to evaluate the likelihood of a small renal mass (SRM) being a clear cell renal cell carcinoma (ccRCC) using mpMRI. The ccLS system serves as a guiding algorithm for diagnosing ccRCC across various sizes with potentially accurate and reproducible results 10, 11, 12 ...

2023年1月13日 · Renal cell carcinoma (RCC) is the most frequent malignancy accounting for 80% of the malignant cases . Among the three most common RCC subtypes, clear cell RCC (ccRCC) is the most common and carries a higher risk of metastasis and worse prognosis while papillary RCC (papRCC) and chromophobe RCC (chrRCC) subtypes are more indolent [5, 7].

2024年7月9日 · The ccLS for the characterization of clear cell renal cell carcinoma (ccRCC) was calculated and compared to the final diagnosis (ccRCC vs. ‘all other’ masses). Results. The ccLS = 5 had a satisfactory accuracy of 64.0% and a very high specificity of 96.3%; however, its sensitivity of 26.1% was relatively low.

A standardized reporting template that applies the clear cell likelihood score (ccLS) algorithm. To see a visual flowchart of the ccLS algorithm go here For non-commercial and non-clinical purposes only.