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Roseland ME, Ma T, Shampain KL, Stein EB, Wasnik AP, Curci NE, Sciallis AP, Uppal S, Johnson TD, Maturen KE. Neoadjuvant chemotherapy for high-grade serous ovarian cancer: radiologic-pathologic correlation of response assessment and predictors of progression. Abdom Radiol (NY) 2024; 49:2040-2048. [PMID: 38478037 DOI: 10.1007/s00261-024-04215-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/11/2024] [Accepted: 01/17/2024] [Indexed: 06/29/2024]
Abstract
PURPOSE Neoadjuvant chemotherapy is often administered for high-grade serous ovarian carcinoma (HGSC) prior to cytoreductive surgery. We evaluated treatment response by CT (simplified peritoneal carcinomatosis index [S-PCI]), pathology (chemotherapy response score [CRS]), laboratory markers (serum CA-125), and surgical outcomes, to identify predictors of disease-free survival. METHODS For this retrospective, HIPAA-compliant, IRB-approved study, we identified 396 women with HGSC receiving neoadjuvant chemotherapy between 2010 and 2019. Two hundred and ninety-nine patients were excluded (surgery not performed; imaging/pathology unavailable). Pre- and post-treatment abdominopelvic CTs were assigned CT S-PCI scores 0-24 (higher score indicating more tumor). Specimens were assigned CRS of 1-3 (minimal to complete response). Clinical data were obtained via chart review. Univariate, multivariate, and survival analyses were performed. RESULTS Ninety-seven women were studied, with mean age of 65 years ± 10. Interreader agreement was good to excellent for CT S-PCI scores (ICC 0.64-0.77). Despite a significant decrease in CT S-PCI scores after treatment (p < 0.001), mean decrease in CT S-PCI did not differ significantly among CRS categories (p = 0.20) or between patients who were optimally versus suboptimally debulked (p = 0.29). In a survival analysis, lower CRS (more viable tumor) was associated with shorter time to progression (p < 0.001). A joint Cox proportional-hazard models showed that only residual pathologic disease (CRS 1/2) (HR 4.19; p < 0.001) and change in CA-125 (HR 1.79; p = 0.01) predicted progression. CONCLUSION HGSC response to neoadjuvant therapy by CT S-PCI did not predict pathologic CRS score, optimal debulking, or progression, revealing discordance between imaging, pathologic, biochemical, and surgical assessments of tumor response.
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Affiliation(s)
- Molly E Roseland
- Department of Radiology (Divisions of Abdominal Radiology and Nuclear Medicine), Michigan Medicine, University of Michigan, 1500 E. Medical Center Dr. B1D502, Ann Arbor, MI, 48109, USA.
| | - Tianwen Ma
- School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Kimberly L Shampain
- Department of Radiology (Divisions of Abdominal Radiology and Nuclear Medicine), Michigan Medicine, University of Michigan, 1500 E. Medical Center Dr. B1D502, Ann Arbor, MI, 48109, USA
| | - Erica B Stein
- Department of Radiology (Divisions of Abdominal Radiology and Nuclear Medicine), Michigan Medicine, University of Michigan, 1500 E. Medical Center Dr. B1D502, Ann Arbor, MI, 48109, USA
| | - Ashish P Wasnik
- Department of Radiology (Divisions of Abdominal Radiology and Nuclear Medicine), Michigan Medicine, University of Michigan, 1500 E. Medical Center Dr. B1D502, Ann Arbor, MI, 48109, USA
| | - Nicole E Curci
- Department of Radiology, University of Colorado School of Medicine, Aurora, CO, USA
| | | | - Shitanshu Uppal
- Department of Gynecology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | | | - Katherine E Maturen
- Department of Radiology (Divisions of Abdominal Radiology and Nuclear Medicine), Michigan Medicine, University of Michigan, 1500 E. Medical Center Dr. B1D502, Ann Arbor, MI, 48109, USA
- Department of Gynecology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
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Wei YY, Cai JY, Wang LL, Yang J, Li YL, Li XT, Zhang XT, Shi YJ, Tang L. Dynamic change in the peritoneal cancer index based on CT after chemotherapy in the overall survival prediction of gastric cancer patients with peritoneal metastasis. J Cancer Res Clin Oncol 2024; 150:222. [PMID: 38687350 PMCID: PMC11061045 DOI: 10.1007/s00432-024-05707-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Accepted: 03/15/2024] [Indexed: 05/02/2024]
Abstract
PURPOSE The purpose of this research was to investigate the efficacy of the CT-based peritoneal cancer index (PCI) to predict the overall survival of patients with peritoneal metastasis in gastric cancer (GCPM) after two cycles of chemotherapy. METHODS This retrospective study registered 112 individuals with peritoneal metastasis in gastric cancer in our hospital. Abdominal and pelvic enhanced CT before and after chemotherapy was independently analyzed by two radiologists. The PCI of peritoneal metastasis in gastric cancer was evaluated according to the Sugarbaker classification, considering the size and distribution of the lesions using CT. Then we evaluated the prognostic performance of PCI based on CT, clinical characteristics, and imaging findings for survival analysis using multivariate Cox proportional hazard regression. RESULTS The PCI change ratio based on CT after treatment (ΔPCI), therapy lines, and change in grade of ascites were independent factors that were associated with overall survival (OS). The area under the curve (AUC) value of ΔPCI for predicting OS with 0.773 was higher than that of RECIST 1.1 with 0.661 (P < 0.05). Patients with ΔPCI less than -15% had significantly longer OS. CONCLUSION CT analysis after chemotherapy could predict OS in patients with GCPM. The CT-PCI change ratio could contribute to the determination of an appropriate strategy for gastric cancer patients with peritoneal metastasis.
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Affiliation(s)
- Yi-Yuan Wei
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology, Peking University Cancer Hospital and Institute, No. 52 Fucheng Road, Hai Dian District, Beijing, 100142, China
| | - Jie-Yuan Cai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, No. 52 Fucheng Road, Hai Dian District, Beijing, 100142, China
| | - Lin-Lin Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology, Peking University Cancer Hospital and Institute, No. 52 Fucheng Road, Hai Dian District, Beijing, 100142, China
| | - Jie Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology, Peking University Cancer Hospital and Institute, No. 52 Fucheng Road, Hai Dian District, Beijing, 100142, China
| | - Yan-Ling Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology, Peking University Cancer Hospital and Institute, No. 52 Fucheng Road, Hai Dian District, Beijing, 100142, China
| | - Xiao-Ting Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology, Peking University Cancer Hospital and Institute, No. 52 Fucheng Road, Hai Dian District, Beijing, 100142, China
| | - Xiao-Tian Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, No. 52 Fucheng Road, Hai Dian District, Beijing, 100142, China.
| | - Yan-Jie Shi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology, Peking University Cancer Hospital and Institute, No. 52 Fucheng Road, Hai Dian District, Beijing, 100142, China
| | - Lei Tang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology, Peking University Cancer Hospital and Institute, No. 52 Fucheng Road, Hai Dian District, Beijing, 100142, China
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Pitsikakis K, DeJong D, Kitsos-Kalyvianakis K, Mamalis ME, Quaranta M, Shavee A, Wahab A, Thangavelu A, Broadhead T, Nugent D, Kalampokis E, Laios A. Survival Dynamics in Advanced Ovarian Cancer: R2 Resection Versus No-Surgery Paths Explored. Cancer Control 2024; 31:10732748241285480. [PMID: 39283489 PMCID: PMC11406603 DOI: 10.1177/10732748241285480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/20/2024] Open
Abstract
BACKGROUND Cytoreductive surgery is critical for optimal tumor clearance in advanced epithelial ovarian cancer (EOC). Despite best efforts, some patients may experience R2 (>1 cm) resection, while others may not undergo surgery at all. We aimed to compare outcomes between advanced EOC patients undergoing R2 resection and those who had no surgery. METHODS Retrospective data from 51 patients with R2 resection were compared to 122 patients with no surgery between January 2015 and December 2019 at a UK tertiary referral centre. Progression-free survival (PFS) and overall survival (OS) were the study endpoints. Principal Component Analysis and Term Frequency - Inverse Document Frequency scores were utilized for data discrimination and prediction of R>2 cm from computed tomography pre-operative reports, respectively. RESULTS No statistical significance was observed, except for age (73 vs 67 years in the no- surgery vs R2 group, P: .001). Principal Components explained 34% of data variances. Reasons for no surgery included age, co-morbidities, patient preference, refractory disease, patient deterioration or disease progression, and absence of measurable intra- abdominal disease). The median PFS and OS were 12 and 14 months for no-surgery, vs 14 and 26 months for R2 (P: .138 and P: .001, respectively). Serous histology and performance status independently predicted PFS in both no-surgery and R2 cohorts. In the no-surgery cohort, serous histology independently predicted OS, while in the R2 cohorts, both serous histology and adjuvant chemotherapy were independent prognostic features for OS. The bi-grams "abdominopelvic ascites" and "solid omental" were amongst those best discriminating between R>2 cm and R1-2 cm. CONCLUSIONS R2 resection and no-surgery cohorts displayed unfavourable prognosis with a notable degree of uniformity. When cytoreduction results in suboptimal results, the survival benefit may still be higher compared to those who underwent no surgery.
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Affiliation(s)
- Konstantinos Pitsikakis
- Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK
| | - Diederick DeJong
- Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK
| | - Konstantinos Kitsos-Kalyvianakis
- Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK
| | - Marios Evangelos Mamalis
- Information Systems Lab, Department of Business Administration, University of Macedonia, Thessaloniki, Greece
| | - Michela Quaranta
- Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK
| | | | - Alina Wahab
- School of Medicine, University of Leeds, Leeds, UK
| | - Amudha Thangavelu
- Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK
| | - Timothy Broadhead
- Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK
| | - David Nugent
- Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK
| | - Evangelos Kalampokis
- Information Systems Lab, Department of Business Administration, University of Macedonia, Thessaloniki, Greece
| | - Alexandros Laios
- Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK
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Plana A, Talo R, Wallengren NO, Pudaric S, Sartor H, Asp M. Radiologically enlarged cardiophrenic lymph nodes and CA-125 in relation to diaphragmatic carcinomatosis, surgical outcome, and overall survival in advanced ovarian cancer. Acta Oncol 2023:1-7. [PMID: 37129994 DOI: 10.1080/0284186x.2023.2204993] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
BACKGROUND We primarily aimed to determine whether the presence of enlarged cardiophrenic lymph nodes (CPLNs), visualized by computed tomography (CT), and CA-125 can be used to assess diaphragmatic carcinomatosis and residual disease (RD) in advanced ovarian cancer (AOC) patients treated with upfront surgery. The secondary aim was to determine the prognostic role of CT-CPLNs in overall survival (OS). MATERIAL AND METHODS A single-center, retrospective, population-based study was conducted of patients who underwent surgery for AOC from January 1, 2014-December 31, 2018. Suspicious CT-CPLNs were defined as having a short axis ≥5 mm. The median survival and rate of survival were calculated with the Kaplan-Meier method using multivariate Cox regression analyses, including comparisons of complete cytoreductive surgery (CCS; defined as the complete removal of all intra-abdominal tumor) versus noncomplete cytoreductive surgery (non-CCS) and analyses related to CT-CPLN status and preoperative CA-125 values. RESULTS We included 208 patients. CT-CPLNs correlated with both diaphragmatic carcinomatosis (OR 3.59, 95% CI 1.81-7.16, p < 0.01) and RD (OR 2.54, 95% CI 1.38-4.6, p = 0.003). When CCS was achieved, no differences in survival between patients with suspicious or nonsuspicious CT-CPLNs were found. The relationships between CA-125 ≥ 500 U/ml and diaphragmatic carcinomatosis (OR 3.51, 95% CI 1.86-6.64, p < 0.01) and RD (OR 2.41, 95% CI 1.33-4.38, p = 0.004) were positive. All data were adjusted for age and ECOG performance status. Survival analyses were also adjusted for RD. CONCLUSION Enlarged CPLNs on CT scans and CA-125 levels correlate with diaphragmatic carcinomatosis and RD at the end of the surgery. The strongest prognostic factor for OS remains CCS, regardless of the CT-CPLN status.
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Affiliation(s)
- Alba Plana
- Department of Obstetrics and Gynecology, Department of Clinical Science Lund, Skåne University Hospital, Lund University, Lund, Sweden
| | - Robert Talo
- Department of Obstetrics and Gynecology, Department of Clinical Science Lund, Skåne University Hospital, Lund University, Lund, Sweden
| | - Nils-Olof Wallengren
- Division of Medical Imaging and Physiology, Department of Clinical Science Lund, Skåne University Hospital, Lund, Sweden
| | - Sonja Pudaric
- Division of Medical Imaging and Physiology, Department of Clinical Science Lund, Skåne University Hospital, Lund, Sweden
| | - Hanna Sartor
- Diagnostic Radiology, Department of Translational Medicine, Lund University, Skåne University Hospital, Lund, Sweden
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Sartor H, Bjurberg M, Asp M, Kahn A, Brändstedt J, Kannisto P, Jirström K. Imaging ovarian cancer - from baseline characteristics to high-risk image factors. J Ovarian Res 2023; 16:78. [PMID: 37069618 PMCID: PMC10108495 DOI: 10.1186/s13048-023-01154-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 04/06/2023] [Indexed: 04/19/2023] Open
Abstract
BACKGROUND Imaging ovarian cancer (OC) includes evaluating peritoneal carcinomatosis (PC) and enlarged cardio phrenic lymph nodes (CPLN) by computed tomography (CT), and thorough evaluation is tedious work. A "CT short score" with high-risk CT parameters might be a more pragmatic approach, but it is not known if such a short score associates with aggressive OC subtypes and impaired OC survival. Further, it is not known if certain established OC risk factors are linked to high-risk CT-findings which would be important in image evaluation. Herein, we investigate a CT short score and its relation to baseline characteristics, OC subtypes, and survival. METHODS The Malmö Diet and Cancer Study is a prospective cohort that included 17,035 women (1991-1996). Baseline characteristics and tumor information on 159 OC and information on OC specific survival (last follow-up, 2017-12-31) was registered. A CT short score (CPLN and PC-index (PCI) in seven regions) was registered and associations with clinical stage [stage I vs. advanced stage (II-IV), histological type/grade (high grade serous and endometrioid vs. other subtypes], and OC-specific survival were analyzed with logistic and Cox regression, respectively. Parity and menopausal status were analyzed in relation to short score and PCI. RESULTS There was an association between higher short score and advanced clinical stage (adjusted OR 2.76 (1.42-5.38)), adjusted for age at diagnosis and histological type/grade. Higher short score was associated with impaired OC specific survival (adjusted HR 1.17 (1.01-1.35)), adjusted for age at diagnosis, histological type/grade, and clinical stage. There were no significant associations between parity, menopausal status, and short score/PCI. CONCLUSIONS CT short score was significantly associated with advanced clinical stages and impaired OC survival. A pragmatic approach (based on CT) to evaluate high risk image findings in OC could help reduce radiologists' workload and at the same time provide structured reports to surgeons and oncologists involved in OC care.
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Affiliation(s)
- Hanna Sartor
- Department of Translational Medicine, Diagnostic Radiology, Lund University, Skåne University Hospital, Lund, Sweden.
| | - Maria Bjurberg
- Department of Clinical Sciences Lund, Oncology and Therapeutic Pathology, Lund University, Lund, Sweden
| | - Mihaela Asp
- Department of Clinical Sciences Lund, Obstetrics and Gynecology, Lund University, Lund, Sweden
| | - Anna Kahn
- Department of Translational Medicine, Diagnostic Radiology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Jenny Brändstedt
- Department of Clinical Sciences Lund, Oncology and Therapeutic Pathology, Lund University, Lund, Sweden
| | - Päivi Kannisto
- Department of Clinical Sciences Lund, Obstetrics and Gynecology, Lund University, Lund, Sweden
| | - Karin Jirström
- Department of Clinical Sciences Lund, Oncology and Therapeutic Pathology, Lund University, Lund, Sweden
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Pinto P, Burgetova A, Cibula D, Haldorsen IS, Indrielle-Kelly T, Fischerova D. Prediction of Surgical Outcome in Advanced Ovarian Cancer by Imaging and Laparoscopy: A Narrative Review. Cancers (Basel) 2023; 15:cancers15061904. [PMID: 36980790 PMCID: PMC10047411 DOI: 10.3390/cancers15061904] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 03/30/2023] Open
Abstract
Maximal-effort upfront or interval debulking surgery is the recommended approach for advanced-stage ovarian cancer. The role of diagnostic imaging is to provide a systematic and structured report on tumour dissemination with emphasis on key sites for resectability. Imaging methods, such as pelvic and abdominal ultrasound, contrast-enhanced computed tomography, whole-body diffusion-weighted magnetic resonance imaging and positron emission tomography, yield high diagnostic performance for diagnosing bulky disease, but they are less accurate for depicting small-volume carcinomatosis, which may lead to unnecessary explorative laparotomies. Diagnostic laparoscopy, on the other hand, may directly visualize intraperitoneal involvement but has limitations in detecting tumours beyond the gastrosplenic ligament, in the lesser sac, mesenteric root or in the retroperitoneum. Laparoscopy has its place in combination with imaging in cases where ima-ging results regarding resectability are unclear. Different imaging models predicting tumour resectability have been developed as an adjunctional objective tool. Incorporating results from tumour quantitative analyses (e.g., radiomics), preoperative biopsies and biomarkers into predictive models may allow for more precise selection of patients eligible for extensive surgery. This review will discuss the ability of imaging and laparoscopy to predict non-resectable disease in patients with advanced ovarian cancer.
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Affiliation(s)
- Patrícia Pinto
- Department of Gynecology, Portuguese Institute of Oncology Francisco Gentil, 1099-023 Lisbon, Portugal
- First Faculty of Medicine, Charles University and General University Hospital in Prague, 121 08 Prague, Czech Republic
| | - Andrea Burgetova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, 121 08 Prague, Czech Republic
| | - David Cibula
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital in Prague, 121 08 Prague, Czech Republic
| | - Ingfrid S Haldorsen
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, 5009 Bergen, Norway
- Section of Radiology, Department of Clinical Medicine, University of Bergen, 5021 Bergen, Norway
| | - Tereza Indrielle-Kelly
- Department of Obstetrics and Gynaecology, Burton and Derby Hospitals NHS Trust, Derby DE13 0RB, UK
| | - Daniela Fischerova
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital in Prague, 121 08 Prague, Czech Republic
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The role of computed tomography in the assessment of tumour extent and the risk of residual disease after upfront surgery in advanced ovarian cancer (AOC). Arch Gynecol Obstet 2022; 306:1235-1243. [PMID: 35235024 PMCID: PMC9470643 DOI: 10.1007/s00404-022-06466-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 02/15/2022] [Indexed: 11/28/2022]
Abstract
Purpose Epithelial ovarian cancer is usually diagnosed in the advanced stages. To choose the best therapeutic approach, an accurate preoperative assessment of the tumour extent is crucial. This study aimed to determine whether the peritoneal cancer index (PCI), the amount of ascites, and the presence of cardiophrenic nodes (CPLNs) visualized by computed tomography (CT) can assess the tumour extent (S-PCI) and residual disease (RD) for advanced ovarian cancer (AOC) patients treated with upfront surgery. Methods In total, 118 AOC cases were included between January 2016 and December 2018 at Skåne University Hospital, Lund, Sweden. Linear regression and interclass correlation (ICC) analyses were used to determine the relationship between CT-PCI and S-PCI. The patients were stratified in complete cytoreductive surgery (CCS) with no RD or to non-CCS with RD of any size. The amount of ascites on CT (CT-ascites), CA-125 and the presence of radiological enlarged CPLNs (CT-CPLN) were analysed to evaluate their impact on estimating RD. Results CT-PCI correlated well with S-PCI (0.397; 95% CI 0.252–0.541; p < 0.001). The risk of RD was also related to CT-PCI (OR 1.069 (1.009–1.131), p < 0.023) with a cut-off of 21 for CT-PCI (0.715, p = 0.000). The sensitivity, specificity, positive predictive value and negative predictive value were 58.5, 70.3, 52.2 and 75.4%, respectively. CT-ascites above 1000 ml predicted RD (OR 3.510 (1.298–9.491) p < 0.013). Conclusion CT is a reliable tool to assess the extent of the disease in advanced ovarian cancer. Higher CT-PCI scores and large volumes of ascites estimated on CT predicted RD of any size.
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