2014, Number 3
Renal cancer: evaluation of response to treatment with sunitinib using RECIST 1.1 and MASS criteria with correlation of clinical criteria for prognosis
Conde-Castro B, Blanco-Sixtos E, Cacho-González A, Jaime-Suárez BM, Martínez-Sánchez JL, Garza-Ramos P, Rivera-Rivera S, Sotelo-Martínez L
Language: Spanish
References: 12
Page: 188-201
PDF size: 723.15 Kb.
ABSTRACT
Background: among useful tools for management of patients with renal cancer, there are clinical criteria for prognosis and imaging methods to evaluate response to treatment. The most widely used imaging criteria include RECIST 1.1 (Response Evaluation Criteria In Solid Tumors), and more recently MASS (Morphology, Attenuation, Size, and Structure) to objectively evaluate response to treatment with targeted molecular therapy.Objective: compare the usefulness of clinical criteria for prognosis of disease evolution and tomographic criteria to evaluate response to treatment.
Materials and methods: a retrospective study from January 2011 through December 2013 of data from patients with confirmed diagnosis of renal cancer, with baseline study and control by tomography at the Centro Médico Nacional Siglo XXI Cancer Hospital. Patients were categorized in accordance with the clinical criteria of Motzer and Heng to establish a prognosis and baseline and control tomograms were analyzed to evaluate in accordance with RECIST 1.1 and MASS criteria; also, an analysis of metastatic disease sites was included.
Results: data from 50 patients was analyzed, with mean tomographic monitoring of 298 days, with probability of non-progression of 87% at 223 days with no difference when using RECIST or MASS criteria. Motzer’s clinical criteria showed greater consistency in prognosis of disease progression and stability. The most common tumoral diseases were pulmonary and bone adenopathies.
Conclusions: the probability of non-progression was 87% at 223 days (p ‹ 0.05); there was no difference when using RECIST 1.1 or MASS evaluation criteria. Motzer’s classification showed greater consistency to prognosticate disease progression and stability compared with Heng’s classification.
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