التفاصيل البيبلوغرافية
| العنوان: |
Semi-automatic software increases CT measurement accuracy but not response classification of colorectal liver metastases after chemotherapy |
| المؤلفون: |
van Kessel, Charlotte S.1,2 c.s.vankessel@umcutrecht.nl, van Leeuwen, Maarten S.1 m.s.vanleeuwen@umcutrecht.nl, Witteveen, Petronella O.3 p.o.witteveen@umcutrecht.nl, Kwee, Thomas C.1 t.kwee@umcutrecht.nl, Verkooijen, Helena M.1 h.m.verkooijen@umcutrecht.nl, van Hillegersberg, Richard2 r.vanhillegersberg@umcutrecht.nl |
| المصدر: |
European Journal of Radiology. Oct2012, Vol. 81 Issue 10, p2543-2549. 7p. |
| مصطلحات موضوعية: |
*CANCER tomography, *COMPUTER software, *COLON cancer, *LIVER cancer, *CANCER chemotherapy, *MEASUREMENT errors, *MEDICAL statistics |
| مستخلص: |
Abstract: Objectives: This study evaluates intra- and interobserver variability of automatic diameter and volume measurements of colorectal liver metastases (CRLM) before and after chemotherapy and its influence on response classification. Methods: Pre-and post-chemotherapy CT-scans of 33 patients with 138 CRLM were evaluated. Two observers measured all metastases three times on pre-and post-chemotherapy CT-scans, using three different techniques: manual diameter (MD), automatic diameter (AD) and automatic volume (AV). RECIST 1.0 criteria were used to define response classification. For each technique, we assessed intra- and interobserver reliability by determining the intraclass correlation coefficient (α-level 0.05). Intra-observer agreement was estimated by the variance coefficient (%). For inter-observer agreement the relative measurement error (%) was calculated using Bland–Altman analysis. In addition, we compared agreement in response classification by calculating kappa-scores (κ) and estimating proportions of discordance between methods (%). Results: Intra-observer variability was 6.05%, 4.28% and 12.72% for MD, AD and AV, respectively. Inter-observer variability was 4.23%, 2.02% and 14.86% for MD, AD and AV, respectively. Chemotherapy marginally affected these estimates. Agreement in response classification did not improve using AD or AV (MD κ =0.653, AD κ =0.548, AV κ =0.548) and substantial discordance between observers was observed with all three methods (MD 17.8%, AD 22.2%, AV 22.2%). Conclusion: Semi-automatic software allows repeatable and reproducible measurement of both diameter and volume measurements of CRLM, but does not reduce variability in response classification. [Copyright &y& Elsevier] |
| قاعدة البيانات: |
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