Open AccessPredicting risk of progression in relapsed multiple myeloma using traditional risk models, focal lesion assessment with PET-CT and minimal residual disease status
Author(s) -
David L. Baker,
Milan Bimali,
Luis F. Carrillo,
Archana Sachedina,
Daisy Alapat,
Shadiqul Hoque,
Mathew Kottarathara,
Richa Parikh,
Amani Erra,
Angel A Mitma,
Pankaj Mathur,
Yetunde Ogunsesan,
Lakshmi Yarlagadda,
Sravani Gundarlapalli,
Sharmilan Thanendrarajan,
Maurizio Zangari,
Frits van Rhee,
Guido Tricot,
Carolina Schinke
Publication year - 2021
Publication title -
haematologica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.782
H-Index - 142
eISSN - 1592-8721
pISSN - 0390-6078
DOI - 10.3324/haematol.2021.278779
Subject(s) - medicine , multiple myeloma , risk assessment , residual , disease , minimal residual disease , oncology , residual risk , lesion , radiology , nuclear medicine , pathology , leukemia , computer science , algorithm , computer security