E A M Hauth1, J Stattaus, M Forsting. 1. Institut für Diagnostische und Interventionelle Radiologie und Neuroradiologie, Universitätsklinikum, Essen. elke.hauth@uni-essen.de
Abstract
PURPOSE: In this prospective study we applied both the bidimensional WHO method and the unidimensional RECIST method in treatment follow-up of solid tumors. MATERIAL AND METHODS: Computed tomography was performed in 80 patients before and after one chemotherapy cycle: 20 patients each with lung cancer, lymphoma, and metastases of the lung and the liver. In 207 tumor lesions unidimensional and bidimensional measurements were performed: 36 lesions of lung cancer, 51 lesions of lymphoma, and 60 lesions of metastases of the lung and the liver, respectively. We assigned the results to the corresponding response categories. RESULTS: For tumor assessment, the kappa statistic produced a high agreement of 0.94 between the two methods for assessment of therapeutic response. CONCLUSION: The unidimensional RECIST measurement is easier to perform in order to assess tumor size during treatment follow-up in oncologic radiology.
PURPOSE: In this prospective study we applied both the bidimensional WHO method and the unidimensional RECIST method in treatment follow-up of solid tumors. MATERIAL AND METHODS: Computed tomography was performed in 80 patients before and after one chemotherapy cycle: 20 patients each with lung cancer, lymphoma, and metastases of the lung and the liver. In 207 tumor lesions unidimensional and bidimensional measurements were performed: 36 lesions of lung cancer, 51 lesions of lymphoma, and 60 lesions of metastases of the lung and the liver, respectively. We assigned the results to the corresponding response categories. RESULTS: For tumor assessment, the kappa statistic produced a high agreement of 0.94 between the two methods for assessment of therapeutic response. CONCLUSION: The unidimensional RECIST measurement is easier to perform in order to assess tumor size during treatment follow-up in oncologic radiology.
Authors: P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther Journal: J Natl Cancer Inst Date: 2000-02-02 Impact factor: 13.506
Authors: Srinivasa R Prasad; Sanjay Saini; James E Sumner; Peter F Hahn; Dushyant Sahani; Giles W Boland Journal: J Comput Assist Tomogr Date: 2003 May-Jun Impact factor: 1.826
Authors: Michael D Chuong; Tom J Hayman; Manish R Patel; Mark S Russell; Mokenge P Malafa; Pamela J Hodul; Gregory M Springett; Junsung Choi; Ravi Shridhar; Sarah E Hoffe Journal: Gastrointest Cancer Res Date: 2011-07
Authors: M W Huellner; T P Hennedige; R Winterhalder; T Zander; S K Venkatesh; W P Yong; R A Soo; B Seifert; T C Treumann; K Strobel; P Veit-Haibach Journal: Cancer Imaging Date: 2012-05-21 Impact factor: 3.909