Comparison of CT Volumetry and RECIST to Predict the Treatment Response and Overall Survival in Gastric Cancer Liver Metastases
Purpose The aim of this study was to compare the diameter and volume of liver metastases on CT images in relation to overall survival and tumor response in patients with gastric cancer liver metastases (GCLM) treated with chemotherapy. Materials and Methods We recruited 43 patients with GCLM who...
| Published in: | 대한영상의학회지 |
|---|---|
| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
The Korean Society of Radiology
2021-07-01
|
| Subjects: | |
| Online Access: | https://doi.org/10.3348/jksr.2020.0085 |
| _version_ | 1852716159160287232 |
|---|---|
| author | Sung Hyun Yu Seung Joon Choi HeeYeon Noh In seon Lee So Hyun Park Se Jong Kim |
| author_facet | Sung Hyun Yu Seung Joon Choi HeeYeon Noh In seon Lee So Hyun Park Se Jong Kim |
| author_sort | Sung Hyun Yu |
| collection | DOAJ |
| container_title | 대한영상의학회지 |
| description | Purpose The aim of this study was to compare the diameter and volume of liver metastases on
CT images in relation to overall survival and tumor response in patients with gastric cancer liver
metastases (GCLM) treated with chemotherapy.
Materials and Methods We recruited 43 patients with GCLM who underwent chemotherapy as
a first-line treatment. We performed a three-dimensional quantification of the metastases for
each patient. An independent survival analysis using the Response Evaluation Criteria in Solid
Tumors (RECIST) was performed and compared to volumetric measurements. Overall survival
was evaluated using Kaplan-Meier analysis and compared using Cox proportional hazard ratios
following univariate analyses.
Results When patients were classified as responders or non-responders based on volumetric
criteria, the median overall survival was 23.6 months [95% confidence interval (CI), 8.63–38.57]
and 7.6 months (95% CI, 3.78–11.42), respectively (p = 0.039). The volumetric analysis and RECIST
of the non-progressing and progressing groups showed similar results based on the Kaplan-
Meier method (p = 0.006) and the Cox proportional hazard model (p = 0.008).
Conclusion Volumetric assessment of liver metastases could be an alternative predictor of
overall survival for patients with GCLM treated with chemotherapy. |
| format | Article |
| id | doaj-art-a0123be8ce1a4e44b5fb3ec7482f9cfa |
| institution | Directory of Open Access Journals |
| issn | 2288-2928 |
| language | English |
| publishDate | 2021-07-01 |
| publisher | The Korean Society of Radiology |
| record_format | Article |
| spelling | doaj-art-a0123be8ce1a4e44b5fb3ec7482f9cfa2025-08-19T21:14:26ZengThe Korean Society of Radiology대한영상의학회지2288-29282021-07-01824876888https://doi.org/10.3348/jksr.2020.0085Comparison of CT Volumetry and RECIST to Predict the Treatment Response and Overall Survival in Gastric Cancer Liver MetastasesSung Hyun YuSeung Joon ChoiHeeYeon NohIn seon LeeSo Hyun ParkSe Jong KimPurpose The aim of this study was to compare the diameter and volume of liver metastases on CT images in relation to overall survival and tumor response in patients with gastric cancer liver metastases (GCLM) treated with chemotherapy. Materials and Methods We recruited 43 patients with GCLM who underwent chemotherapy as a first-line treatment. We performed a three-dimensional quantification of the metastases for each patient. An independent survival analysis using the Response Evaluation Criteria in Solid Tumors (RECIST) was performed and compared to volumetric measurements. Overall survival was evaluated using Kaplan-Meier analysis and compared using Cox proportional hazard ratios following univariate analyses. Results When patients were classified as responders or non-responders based on volumetric criteria, the median overall survival was 23.6 months [95% confidence interval (CI), 8.63–38.57] and 7.6 months (95% CI, 3.78–11.42), respectively (p = 0.039). The volumetric analysis and RECIST of the non-progressing and progressing groups showed similar results based on the Kaplan- Meier method (p = 0.006) and the Cox proportional hazard model (p = 0.008). Conclusion Volumetric assessment of liver metastases could be an alternative predictor of overall survival for patients with GCLM treated with chemotherapy.https://doi.org/10.3348/jksr.2020.0085gastric cancerliver neoplasmchemotherapysurvival |
| spellingShingle | Sung Hyun Yu Seung Joon Choi HeeYeon Noh In seon Lee So Hyun Park Se Jong Kim Comparison of CT Volumetry and RECIST to Predict the Treatment Response and Overall Survival in Gastric Cancer Liver Metastases gastric cancer liver neoplasm chemotherapy survival |
| title | Comparison of CT Volumetry and RECIST to Predict the Treatment Response and Overall Survival in Gastric Cancer Liver Metastases |
| title_full | Comparison of CT Volumetry and RECIST to Predict the Treatment Response and Overall Survival in Gastric Cancer Liver Metastases |
| title_fullStr | Comparison of CT Volumetry and RECIST to Predict the Treatment Response and Overall Survival in Gastric Cancer Liver Metastases |
| title_full_unstemmed | Comparison of CT Volumetry and RECIST to Predict the Treatment Response and Overall Survival in Gastric Cancer Liver Metastases |
| title_short | Comparison of CT Volumetry and RECIST to Predict the Treatment Response and Overall Survival in Gastric Cancer Liver Metastases |
| title_sort | comparison of ct volumetry and recist to predict the treatment response and overall survival in gastric cancer liver metastases |
| topic | gastric cancer liver neoplasm chemotherapy survival |
| url | https://doi.org/10.3348/jksr.2020.0085 |
| work_keys_str_mv | AT sunghyunyu comparisonofctvolumetryandrecisttopredictthetreatmentresponseandoverallsurvivalingastriccancerlivermetastases AT seungjoonchoi comparisonofctvolumetryandrecisttopredictthetreatmentresponseandoverallsurvivalingastriccancerlivermetastases AT heeyeonnoh comparisonofctvolumetryandrecisttopredictthetreatmentresponseandoverallsurvivalingastriccancerlivermetastases AT inseonlee comparisonofctvolumetryandrecisttopredictthetreatmentresponseandoverallsurvivalingastriccancerlivermetastases AT sohyunpark comparisonofctvolumetryandrecisttopredictthetreatmentresponseandoverallsurvivalingastriccancerlivermetastases AT sejongkim comparisonofctvolumetryandrecisttopredictthetreatmentresponseandoverallsurvivalingastriccancerlivermetastases |
