Modified Risk Staging System (MRS) calculator for Multiple Myeloma (version 1.0)

Joint collaborative work of Laboratory Oncology Unit, Dr. B.R.A. IRCH, AIIMS, New Delhi and SBILab, Department of ECE, IIIT-Delhi, New Delhi

Principal Investigators: Prof. Ritu Gupta, AIIMS and Prof. Anubha Gupta, IIITD

Description: MRS is a robust AI-supported risk-staging system for MM patients that utilizes easy to acquire key prognostic parameters. It predicts the risk stage of a patient depending on the values of the six parameters- age, albumin, b2m, hemoglobin, calcium and eGFR.

• It's utility has been validated for Newly diagnosed Multiple Myeloma (NDMM) patients.
• It is a reliable and efficient tool for upfront risk stratification of MM patients.

**Please acknowledge the related publication by including the following citation in your work:

• Akanksha Farswan, Anubha Gupta, Ritu Gupta, Saswati Hazra, Sadaf Khan, Lalit Kumar, and Atul Sharma, “AI-Supported Modified Risk Staging for Multiple Myeloma Cancer useful in real-world scenario,” Translational Oncology, Elsevier, vol. 14, no. 9, article no. 101157, pp. 1-9, September 2021, doi: 10.1016/j.tranon.2021.101157.

Age (years)
Albumin (g/dL)
B2M (mg/L)
Calcium (mg/dL)
eGFR (ml/min)
Hemoglobin (g/dL)
MRS stage

We have also designed an advanced AI-enabled calculator, CRSS, which utilizes ethnicity-specific cutoffs of key prognostic parameters. CRSS predicts the risk stage of a patient using the seven parameters- age, albumin, β2M, hemoglobin, calcium, eGFR and high risk cytogenetic abnormalities [del 17p; t(4;14); t(14;16)].