The ability of whole-body SUVmax in F-18 FDG PET/CT to predict suboptimal cytoreduction during primary debulking surgery for advanced ovarian cancer
Abstract Background The aim of this study was to (1) evaluate the ability of F-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) parameters to predict suboptimal cytoreduction and (2) to create a risk model for predicting suboptimal cytoreduction in advanced ovarian...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-02-01
|
| Series: | Journal of Ovarian Research |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13048-019-0488-2 |
| _version_ | 1797969768937947136 |
|---|---|
| author | Gun Oh. Chong Shin Young Jeong Yoon Hee Lee Hyun Jung Lee Sang-Woo Lee Hyung Soo Han Dae Gy Hong Yoon Soon Lee |
| author_facet | Gun Oh. Chong Shin Young Jeong Yoon Hee Lee Hyun Jung Lee Sang-Woo Lee Hyung Soo Han Dae Gy Hong Yoon Soon Lee |
| author_sort | Gun Oh. Chong |
| collection | DOAJ |
| description | Abstract Background The aim of this study was to (1) evaluate the ability of F-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) parameters to predict suboptimal cytoreduction and (2) to create a risk model for predicting suboptimal cytoreduction in advanced ovarian cancer. From 2011 to 2015, 51 patients underwent primary cytoreductive surgery for advanced ovarian cancer were enrolled. A residual disease with maximal diameter > 1 cm was considered a suboptimal surgical result. The SUVmax values for nine abdominal regions, the sum of 9 regional SUVmax (WB1SUVmax) and WB2SUVmax (WB1SUVmax plus SUVmax of lymph nodes) were used for PET parameter. Multiple logistic regression analysis was used to determine the predictive value of PET and clinical parameters for risk model. In addition, assessments of disease-free survival (DFS) and overall survival (OS) were performed. Results Seventeen of the 51 patients (33.3%) underwent suboptimal cytoreduction. The ECOG status (OR, 4.091), SUVmax of central (OR, 5.250), right upper (OR, 4.148), left upper (OR, 5.921) and WB2SUVmax (OR, 4.148) were associated with suboptimal cytoreduction. The risk model can divide the risk groups of suboptimal cytoreduction (area under the curve (AUC), 0.775; p = 0.0001). The DFS and OS in the high-risk group were significantly worse than those in the low-risk group (p = 0.0379 for DFS; p = 0.0211 for OS). Conclusions The presence of hypermetabolic lesions in the central, right upper, and left upper regions showed predictive value for suboptimal cytoreduction. Our risk model may be helpful for selecting patients who may show suboptimal cytoreduction. |
| first_indexed | 2024-04-11T03:07:27Z |
| format | Article |
| id | doaj.art-a0c704958d42445eaa47f0c0b72a775e |
| institution | Directory Open Access Journal |
| issn | 1757-2215 |
| language | English |
| last_indexed | 2024-04-11T03:07:27Z |
| publishDate | 2019-02-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Ovarian Research |
| spelling | doaj.art-a0c704958d42445eaa47f0c0b72a775e2023-01-02T12:52:51ZengBMCJournal of Ovarian Research1757-22152019-02-011211810.1186/s13048-019-0488-2The ability of whole-body SUVmax in F-18 FDG PET/CT to predict suboptimal cytoreduction during primary debulking surgery for advanced ovarian cancerGun Oh. Chong0Shin Young Jeong1Yoon Hee Lee2Hyun Jung Lee3Sang-Woo Lee4Hyung Soo Han5Dae Gy Hong6Yoon Soon Lee7Department of Obstetrics and Gynecology, School of Medicine, Kyungpook National UniversityDepartment of Nuclear Medicine, School of Medicine, Kyungpook National UniversityDepartment of Obstetrics and Gynecology, School of Medicine, Kyungpook National UniversityDepartment of Obstetrics and Gynecology, School of Medicine, Kyungpook National UniversityDepartment of Nuclear Medicine, School of Medicine, Kyungpook National UniversityDepartment of Physiology, School of Medicine, Kyungpook National UniversityDepartment of Obstetrics and Gynecology, School of Medicine, Kyungpook National UniversityDepartment of Obstetrics and Gynecology, School of Medicine, Kyungpook National UniversityAbstract Background The aim of this study was to (1) evaluate the ability of F-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) parameters to predict suboptimal cytoreduction and (2) to create a risk model for predicting suboptimal cytoreduction in advanced ovarian cancer. From 2011 to 2015, 51 patients underwent primary cytoreductive surgery for advanced ovarian cancer were enrolled. A residual disease with maximal diameter > 1 cm was considered a suboptimal surgical result. The SUVmax values for nine abdominal regions, the sum of 9 regional SUVmax (WB1SUVmax) and WB2SUVmax (WB1SUVmax plus SUVmax of lymph nodes) were used for PET parameter. Multiple logistic regression analysis was used to determine the predictive value of PET and clinical parameters for risk model. In addition, assessments of disease-free survival (DFS) and overall survival (OS) were performed. Results Seventeen of the 51 patients (33.3%) underwent suboptimal cytoreduction. The ECOG status (OR, 4.091), SUVmax of central (OR, 5.250), right upper (OR, 4.148), left upper (OR, 5.921) and WB2SUVmax (OR, 4.148) were associated with suboptimal cytoreduction. The risk model can divide the risk groups of suboptimal cytoreduction (area under the curve (AUC), 0.775; p = 0.0001). The DFS and OS in the high-risk group were significantly worse than those in the low-risk group (p = 0.0379 for DFS; p = 0.0211 for OS). Conclusions The presence of hypermetabolic lesions in the central, right upper, and left upper regions showed predictive value for suboptimal cytoreduction. Our risk model may be helpful for selecting patients who may show suboptimal cytoreduction.http://link.springer.com/article/10.1186/s13048-019-0488-2Advanced ovarian cancerSuboptimal cytoreductionSUVmaxFDG PET/CTRisk model |
| spellingShingle | Gun Oh. Chong Shin Young Jeong Yoon Hee Lee Hyun Jung Lee Sang-Woo Lee Hyung Soo Han Dae Gy Hong Yoon Soon Lee The ability of whole-body SUVmax in F-18 FDG PET/CT to predict suboptimal cytoreduction during primary debulking surgery for advanced ovarian cancer Journal of Ovarian Research Advanced ovarian cancer Suboptimal cytoreduction SUVmax FDG PET/CT Risk model |
| title | The ability of whole-body SUVmax in F-18 FDG PET/CT to predict suboptimal cytoreduction during primary debulking surgery for advanced ovarian cancer |
| title_full | The ability of whole-body SUVmax in F-18 FDG PET/CT to predict suboptimal cytoreduction during primary debulking surgery for advanced ovarian cancer |
| title_fullStr | The ability of whole-body SUVmax in F-18 FDG PET/CT to predict suboptimal cytoreduction during primary debulking surgery for advanced ovarian cancer |
| title_full_unstemmed | The ability of whole-body SUVmax in F-18 FDG PET/CT to predict suboptimal cytoreduction during primary debulking surgery for advanced ovarian cancer |
| title_short | The ability of whole-body SUVmax in F-18 FDG PET/CT to predict suboptimal cytoreduction during primary debulking surgery for advanced ovarian cancer |
| title_sort | ability of whole body suvmax in f 18 fdg pet ct to predict suboptimal cytoreduction during primary debulking surgery for advanced ovarian cancer |
| topic | Advanced ovarian cancer Suboptimal cytoreduction SUVmax FDG PET/CT Risk model |
| url | http://link.springer.com/article/10.1186/s13048-019-0488-2 |
| work_keys_str_mv | AT gunohchong theabilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT shinyoungjeong theabilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT yoonheelee theabilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT hyunjunglee theabilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT sangwoolee theabilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT hyungsoohan theabilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT daegyhong theabilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT yoonsoonlee theabilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT gunohchong abilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT shinyoungjeong abilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT yoonheelee abilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT hyunjunglee abilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT sangwoolee abilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT hyungsoohan abilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT daegyhong abilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer AT yoonsoonlee abilityofwholebodysuvmaxinf18fdgpetcttopredictsuboptimalcytoreductionduringprimarydebulkingsurgeryforadvancedovariancancer |