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Friedman SN, Itani M, Dehdashti F. PET Imaging for Gynecologic Malignancies. Radiol Clin North Am 2021; 59:813-833. [PMID: 34392921 DOI: 10.1016/j.rcl.2021.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
This review article summarizes the clinical applications of established and emerging PET tracers in the evaluation of the 5 most common gynecologic malignancies: endometrial, ovarian, cervical, vaginal, and vulvar cancers. Emphasis is given to 2-deoxy-2-[18F]fluoro-d-glucose as the most widely used and studied tracer, with additional clinical tracers also explored. The common imaging protocols are discussed, including standard dose ranges and uptake times, established roles, as well as the challenges and future directions of these imaging techniques. The key points are emphasized with images from selected cases.
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Affiliation(s)
- Saul N Friedman
- Division of Nuclear Medicine, Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 South Kingshighway Boulevard, St Louis, MO 63110, USA
| | - Malak Itani
- Section of Abdominal Imaging, Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 South Kingshighway Boulevard, St Louis, MO 63110, USA
| | - Farrokh Dehdashti
- Division of Nuclear Medicine, Edward Mallinckrodt Institute of Radiology, Alvin J. Siteman Cancer Center, Washington University School of Medicine, 510 South Kingshighway Boulevard, St Louis, MO 63110, USA.
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Feng Z, Liu S, Ju X, Chen X, Li R, Bi R, Wu X. Diagnostic accuracy of 18F-FDG PET/CT scan for peritoneal metastases in advanced ovarian cancer. Quant Imaging Med Surg 2021; 11:3392-3398. [PMID: 34341717 DOI: 10.21037/qims-20-784] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Accepted: 03/03/2021] [Indexed: 12/14/2022]
Abstract
Background To assess the diagnostic accuracy of 18F-FDG PET/CT to determine the Eisenkop score and peritoneal cancer index (PCI) in correlation with surgical findings. Methods Forty-three patients underwent preoperative 18F-FDG PET/CT scan, followed by primary cytoreductive surgery for advanced ovarian cancer between September 2015 and February 2018. Clinical data were prospectively collected, including intraoperative assessment (with Eisenkop and PCI scores) and surgical results. The sensitivity, specificity, and accuracy were calculated at each anatomical site. The Eisenkop score, PCI score, and tumor volume of PET/CT scans were compared with surgical findings. Results A total of 32 (74.4%) patients were diagnosed with stage III, and 11 (25.6%) patients were stage IV. Among these individuals, 19 (44.2%) patients had no residual disease after primary surgery. The median [range] Eisenkop score on PET/CT scans and surgical findings were 5 [1-13] and 6 [2-13], respectively. PET/CT scans correctly predicted the Eisenkop score with high sensitivity (84.2%), specificity (87.0%), and accuracy (85.1%). The diagnostic accuracy of PET/CT scans for PCI scores was lower (78.5%), with 72.7% sensitivity and 84.9% specificity. Preoperative PET/CT scans might underestimate tumor volume compared with surgical findings. Conclusions 18F-FDG PET/CT scans accurately predicted peritoneal metastases in advanced ovarian cancer before surgery using Eisenkop score.
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Affiliation(s)
- Zheng Feng
- Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shuai Liu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China.,Center for Biomedical Imaging, Fudan University, Shanghai, China.,Shanghai Engineering Research Center of Molecular Imaging Probes, Fudan University, Shanghai, China
| | - Xingzhu Ju
- Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaojun Chen
- Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ruimin Li
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Rui Bi
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Xiaohua Wu
- Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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Jiang Y, Hou G, Wu F, Zhu Z, Zhang W, Cheng W. The maximum standardized uptake value and extent of peritoneal involvement may predict the prognosis of patients with recurrent ovarian cancer after primary treatment: A retrospective clinical study. Medicine (Baltimore) 2020; 99:e19228. [PMID: 32080121 PMCID: PMC7034678 DOI: 10.1097/md.0000000000019228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
We investigated the effect of the maximum standardized uptake value (SUVmax) and peritoneal dissemination derived from F-fluorodeoxyglucose (F-FDG) positron emission tomography/computed tomography (PET/CT) imaging on prognosis in patients with recurrent ovarian cancer.We retrospectively analyzed 145 patients with suspected recurrent ovarian cancer who had undergone F-FDG PET/CT scans after cytoreductive surgery and chemotherapy. The degree of peritoneal spread was classified as localized (1-3 FDG foci) or diffuse (>3 FDG foci). Receiver operating characteristic (ROC) curve analysis was performed to determine the cut-off values for predicting recurrence.A total of 145 patients were retrospectively reviewed in this study. 29 patients were excluded as their follow-up results were not available. One hundred sixteen patients were included in the final analysis. The median duration of progression-free survival was 14 months. F-FDG PET/CT detected peritoneal carcinomatosis in 82 patients. With a cut-off SUVmax of 2.0 obtained from the ROC curve analysis, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of SUVmax of peritoneal carcinomatosis for predicting recurrence were 77.6%, 87.5%, 65.1%, 97.4%, and 38.9%, respectively. The area under the curve was 0.85. In a multivariate analysis, significant independent prognostic variables were SUVmax of peritoneal disease, peritoneal dissemination, and CA125 levels. In patients with peritoneal involvement, the Kaplan-Meier survival curves showed significantly longer PFS in those with localized disease.SUVmax of peritoneal disease is valuable in predicting the recurrence of ovarian cancer. SUVmax of peritoneal disease, peritoneal dissemination and CA125 level could be used as independent prognostic factors for ovarian cancer patients.
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Affiliation(s)
- Yuanyuan Jiang
- Department of Nuclear Medicine, Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College
- Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Beijing
| | - Guozhu Hou
- Department of Nuclear Medicine, Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College
- Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Beijing
| | - Fengyu Wu
- Department of PET/CT Centre, the Affiliated Hospital of Qingdao University, Qingdao
| | - Zhaohui Zhu
- Department of Nuclear Medicine, Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College
- Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Beijing
| | - Wei Zhang
- Department of Nuclear Medicine, Affiliated Hospital of Southwest Medical University, Lu Zhou, Sichuan, China
| | - Wuying Cheng
- Department of Nuclear Medicine, Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College
- Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Beijing
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Thomassin-Naggara I, Daraï E, Lécuru F, Fournier L. [Diagnostic value of imaging (ultrasonography, doppler, CT, MR, PET-CT) for the diagnosis of a suspicious ovarian mass and staging of ovarian, tubal or primary peritoneal cancer: Article drafted from the French Guidelines in oncology entitled "Initial management of patients with epithelial ovarian cancer" developed by FRANCOGYN, CNGOF, SFOG, GINECO-ARCAGY under the aegis of CNGOF and endorsed by INCa]. ACTA ACUST UNITED AC 2019; 47:123-133. [PMID: 30686729 DOI: 10.1016/j.gofs.2018.12.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Indexed: 11/18/2022]
Abstract
Transvaginal ultrasound is the first-line examination allowing characterizing 80 to 90% of adnexal masses (LP1). If performed by an expert, a subjective analysis is optimal. If performed by a non-expert, combining the use of Simple Rules with subjective analysis can achieve the diagnostic performance of an expert (LP1). Whichever the chosen model (subjective analysis by an expert or combination of the Simple Rules with a subjective analysis by a non-expert), a second-line examination will have to be proposed in the complex or indeterminate cases (about 20% of the masses) (grade A). The best-performing second-line test for characterization is pelvic MRI (LP1). If read by an expert, a pathological hypothesis can or should be suggested (grade D). In case of non-expert reading, the use of the ADNEXMR score allows a reliable assessment of the positive predictive value of malignancy to guide the patient towards the best management (gradeC). For preoperative assessment and evaluation of resectability of ovarian, fallopian tube or primary peritoneal cancer, it is recommended to perform a chest abdomen and pelvis CT with contrast agent injection (LP2, grade B). In the event of a contraindication to the injection of iodinated contrast agent (severe renal insufficiency, GFR <30mL/min), an abdomen and pelvis MRI completed with a non-injected chest CT may be proposed (LP3, grade C). By analogy, the same examinations are recommended to evaluate the disease after neo-adjuvant chemotherapy (LP3, Recommendation grade C). Further studies will be required to determine whether PET-CT provides better lymph node assessment before retroperitoneal and pelvic lymphadenectomy. PET-CT may be used to eliminate lymph node involvement in the absence of suspicious lymph nodes on morphological examination (LP3, grade C). The report should specify the localizations leading to a risk of incomplete cytoreductive surgery and lesions outside the field explored during surgery.
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Affiliation(s)
- I Thomassin-Naggara
- Service de radiologie, hôpital Tenon, Assistance publique-Hôpitaux de Paris (AP-HP), 4, rue de la Chine, 75020 Paris, France; Équipe medecine- Jussieu, institut des sciences du calcul et de données (ISCD), Sorbonne université 4, place Jussieu, 75006 Paris, France.
| | - E Daraï
- Service de gynécologie et obstétrique, hôpital Tenon, Assistance publique-Hôpitaux de Paris (AP-HP), 4, rue de la Chine, 75020 Paris, France
| | - F Lécuru
- Service de chirurgie cancérologique gynécologique et du sein, hôpital européen Georges-Pompidou, Assistance publique-Hôpitaux de Paris, 20, rue Leblanc, 75015 Paris, France
| | - L Fournier
- Service de radiologie, université Paris Descartes Sorbonne Paris Cité, hôpital européen Georges-Pompidou, Assistance publique-Hôpitaux de Paris, 20, rue Leblanc, 75015 Paris, France; Université Paris Descartes Sorbonne Paris Cité, Inserm UMR-S970, Cardiovascular Research Center - PARCC, 56, rue Leblanc, 75015 Paris, France
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Liu S, Feng Z, Jiang Z, Wen H, Xu J, Pan H, Deng Y, Zhang L, Ju X, Chen X, Wu X. Prognostic predictive value of preoperative intratumoral 2-deoxy-2-(18F)fluoro-D-glucose uptake heterogeneity in patients with high-grade serous ovarian cancer. Nucl Med Commun 2018; 39:928-35. [PMID: 29771717 DOI: 10.1097/MNM.0000000000000861] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE This study aimed to explore the clinical and prognostic significance of pretreatment positron-emission tomography/computed tomography (PET/CT) parameters, especially 2-deoxy-2-(F)fluoro-D-glucose-based heterogeneity, in high-grade serous ovarian cancer (HGSC). MATERIALS AND METHODS We retrospectively investigated 56 patients with HGSC who underwent PET/CT before primary surgery at our hospital between January 2010 and June 2015. None of these patients received neoadjuvant chemotherapy. PET/CT parameters, including maximum and mean standardized uptake value (SUVmax and SUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and intratumoral heterogeneity index (HI), were measured for all patients. Differences of each PET/CT parameter between primary tumors (-P) and omental metastatic lesions (-M) were compared by paired t tests. Progression-free survival (PFS) and overall survival were analyzed by the Kaplan-Meier method and log-rank tests in univariate analyses. Cox regression analyses were used for multivariate analysis. RESULTS SUVmean-P was higher than SUVmean-M (P=0.001). However, there were no statistical differences of SUVmax, MTV, TLG, or HI between primary and omental lesions. Chemosensitive patients tended to have higher levels of SUVmax-P (P=0.011), MTV-P (P=0.014), TLG-P (P=0.035), and HI-P (P=0.002), respectively. In univariate analyses, higher HI-P was associated with better PFS (P=0.007). However, in multivariate analysis, HI-P was not an independent predictor of PFS (P=0.581). Neither HI-P nor HI-M was the prognostic predictor for overall survival (P=0.078 and 0.063, respectively). CONCLUSION 2-Deoxy-2-(F)fluoro-D-glucose-based heterogeneity appears to be a predictive and prognostic factor for patients with HGSC. Parameters of primary tumors have predominant value compared with omental metastatic lesions.
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Roze JF, Hoogendam JP, van de Wetering FT, Spijker R, Verleye L, Vlayen J, Veldhuis WB, Scholten RJPM, Zweemer RP. Positron emission tomography (PET) and magnetic resonance imaging (MRI) for assessing tumour resectability in advanced epithelial ovarian/fallopian tube/primary peritoneal cancer. Cochrane Database Syst Rev 2018; 10:CD012567. [PMID: 30298516 PMCID: PMC6517226 DOI: 10.1002/14651858.cd012567.pub2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Ovarian cancer is the leading cause of death from gynaecological cancer in developed countries. Surgery and chemotherapy are considered its mainstay of treatment and the completeness of surgery is a major prognostic factor for survival in these women. Currently, computed tomography (CT) is used to preoperatively assess tumour resectability. If considered feasible, women will be scheduled for primary debulking surgery (i.e. surgical efforts to remove the bulk of tumour with the aim of leaving no visible (macroscopic) tumour). If primary debulking is not considered feasible (i.e. the tumour load is too extensive), women will receive neoadjuvant chemotherapy to reduce tumour load and subsequently undergo (interval) surgery. However, CT is imperfect in assessing tumour resectability, so additional imaging modalities can be considered to optimise treatment selection. OBJECTIVES To assess the diagnostic accuracy of fluorodeoxyglucose-18 (FDG) PET/CT, conventional and diffusion-weighted (DW) MRI as replacement or add-on to abdominal CT, for assessing tumour resectability at primary debulking surgery in women with stage III to IV epithelial ovarian/fallopian tube/primary peritoneal cancer. SEARCH METHODS We searched MEDLINE and Embase (OVID) for potential eligible studies (1946 to 23 February 2017). Additionally, ClinicalTrials.gov, WHO-ICTRP and the reference list of all relevant studies were searched. SELECTION CRITERIA Diagnostic accuracy studies addressing the accuracy of preoperative FDG-PET/CT, conventional or DW-MRI on assessing tumour resectability in women with advanced stage (III to IV) epithelial ovarian/fallopian tube/primary peritoneal cancer who are scheduled to undergo primary debulking surgery. DATA COLLECTION AND ANALYSIS Two authors independently screened titles and abstracts for relevance and inclusion, extracted data and performed methodological quality assessment using QUADAS-2. The limited number of studies did not permit meta-analyses. MAIN RESULTS Five studies (544 participants) were included in the analysis. All studies performed the index test as replacement of abdominal CT. Two studies (366 participants) addressed the accuracy of FDG-PET/CT for assessing incomplete debulking with residual disease of any size (> 0 cm) with sensitivities of 1.0 (95% CI 0.54 to 1.0) and 0.66 (95% CI 0.60 to 0.73) and specificities of 1.0 (95% CI 0.80 to 1.0) and 0.88 (95% CI 0.80 to 0.93), respectively (low- and moderate-certainty evidence). Three studies (178 participants) investigated MRI for different target conditions, of which two investigated DW-MRI and one conventional MRI. The first study showed that DW-MRI determines incomplete debulking with residual disease of any size with a sensitivity of 0.94 (95% CI 0.83 to 0.99) and a specificity of 0.98 (95% CI 0.88 to 1.00) (low- and moderate-certainty evidence). For abdominal CT, the sensitivity for assessing incomplete debulking was 0.66 (95% CI 0.52 to 0.78) and the specificity 0.77 (95% CI 0.63 to 0.87) (low- and low-certainty evidence). The second study reported a sensitivity of DW-MRI of 0.75 (95% CI 0.35 to 0.97) and a specificity of 0.96 (95% CI 0.80 to 1.00) (very low-certainty evidence) for assessing incomplete debulking with residual disease > 1 cm. In the last study, the sensitivity for assessing incomplete debulking with residual disease of > 2 cm on conventional MRI was 0.91 (95% CI 0.59 to 1.00) and the specificity 0.97 (95% CI 0.87 to 1.00) (very low-certainty evidence). Overall, the certainty of evidence was very low to moderate (according to GRADE), mainly due to small sample sizes and imprecision. AUTHORS' CONCLUSIONS Studies suggested a high specificity and moderate sensitivity for FDG-PET/CT and MRI to assess macroscopic incomplete debulking. However, the certainty of the evidence was insufficient to advise routine addition of FDG-PET/CT or MRI to clinical practice..In a research setting, adding an alternative imaging method could be considered for women identified as suitable for primary debulking by abdominal CT, in an attempt to filter out false-negatives (i.e. debulking, feasible based on abdominal CT, unfeasible at actual surgery).
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Affiliation(s)
- Joline F Roze
- UMC Utrecht Cancer CenterDepartment of Gynaecological OncologyUtrechtNetherlands3508 GA
| | - Jacob P Hoogendam
- UMC Utrecht Cancer CenterDepartment of Gynaecological OncologyUtrechtNetherlands3508 GA
| | - Fleur T van de Wetering
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht UniversityCochrane NetherlandsPO Box 85500UtrechtNetherlands3508 GA
| | - René Spijker
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht UniversityCochrane NetherlandsPO Box 85500UtrechtNetherlands3508 GA
| | - Leen Verleye
- Belgian Health Care Knowledge CentreKruidtuinlaan 55BrusselsBelgium1000
| | - Joan Vlayen
- Belgian Health Care Knowledge CentreKruidtuinlaan 55BrusselsBelgium1000
| | - Wouter B Veldhuis
- University Medical Center UtrechtDepartment of RadiologyRoom E01.132PO Box 85500UtrechtNetherlands3508 GA
| | - Rob JPM Scholten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht UniversityCochrane NetherlandsPO Box 85500UtrechtNetherlands3508 GA
| | - Ronald P Zweemer
- UMC Utrecht Cancer CenterDepartment of Gynaecological OncologyUtrechtNetherlands3508 GA
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An H, Lee E, Chiu K, Chang C. The emerging roles of functional imaging in ovarian cancer with peritoneal carcinomatosis. Clin Radiol 2018; 73:597-609. [DOI: 10.1016/j.crad.2018.03.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Accepted: 03/09/2018] [Indexed: 12/22/2022]
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Liu S, Feng Z, Wen H, Jiang Z, Pan H, Deng Y, Zhang L, Ju X, Chen X, Wu X. 18F-FDG PET/CT can predict chemosensitivity and proliferation of epithelial ovarian cancer via SUVmax value. Jpn J Radiol 2018; 36:544-550. [PMID: 29943313 DOI: 10.1007/s11604-018-0755-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 06/10/2018] [Indexed: 12/16/2022]
Abstract
PURPOSE This study aimed to explore the clinical and prognostic significance of 18F-fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography (18F-FDG PET/CT) in epithelial ovarian cancer (EOC). METHODS We retrospectively investigated 48 EOC patients who underwent preoperative 18F-FDG PET/CT and primary cytoreductive surgery at our hospital between January 2010 and June 2015. None of these patients received neoadjuvant chemotherapy. PET/CT parameters including the maximum and average standardized uptake value (SUVmax, SUVavg), the metabolic tumor volume (MTV) were measured. Tumor proliferation marker Ki67 was evaluated using immunohistochemistry. The relationships between the PET/CT parameters and chemosensitivity, tumor proliferation, and overall survival (OS) were analyzed, respectively. RESULTS The median (range) SUVmax, SUVavg, and MTV values were 11.42 (3.14-20.20), 4.8 (2.55-9.47), and 150.11 (0.19-792.46), respectively. Overall, 93.8% (45/48) of patients had high-grade serous ovarian cancer. The SUVmax value had a positive correlation with the Ki67 index (P = 0.030, r = 0.314), and a higher SUVmax level was associated with chemosensitivity (P = 0.026). However, neither SUVavg nor MTV had associations with the patients' clinicopathological parameters. None of these three PET/CT parameters were found to be potential predictors of OS. CONCLUSIONS Preoperative 18F-FDG PET/CT had a predictive value on chemosensitivity and proliferation after primary debulking surgery in EOC patients noninvasively.
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Affiliation(s)
- Shuai Liu
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China.,Center for Biomedical Imaging, Fudan University, Shanghai, China.,Shanghai Engineering Research Center of Molecular Imaging Probes, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zheng Feng
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, 200032, China
| | - Hao Wen
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, 200032, China
| | - Zhaoxia Jiang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Herong Pan
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China.,Center for Biomedical Imaging, Fudan University, Shanghai, China.,Shanghai Engineering Research Center of Molecular Imaging Probes, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yu Deng
- Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, 200032, China.,Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Lei Zhang
- Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, 200032, China.,Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Xingzhu Ju
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, 200032, China
| | - Xiaojun Chen
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, 200032, China
| | - Xiaohua Wu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China. .,Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, 200032, China.
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Abstract
Molecular imaging (mainly PET and MR imaging) has played important roles in gynecologic oncology. Emerging MR-based technologies, including DWI, CEST, DCE-MR imaging, MRS, and DNP, as well as FDG-PET and many novel PET radiotracers, will continuously improve practices. In combination with radiomics analysis, a new era of decision making in personalized medicine and precisely guided radiation treatment planning or real-time surgical interventions is being entered into, which will directly impact on patient survival. Prospective trials with well-defined endpoints are encouraged to evaluate the multiple facets of these emerging imaging tools in the management of gynecologic malignancies.
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Affiliation(s)
- Gigin Lin
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, 5 Fu-Shin Street, Kueishan, Taoyuan 333, Taiwan
| | - Chyong-Huey Lai
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, 5 Fu-Shin Street, Kueishan, Taoyuan 333, Taiwan.
| | - Tzu-Chen Yen
- Department of Nuclear Medicine, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, 5 Fu-Shin Street, Kueishan, Taoyuan 333, Taiwan
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González García B, García Vicente A, Jiménez Londoño G, Pena Pardo F, Bellón Guardia M, Talavera Rubio M, Palomar Muñoz A, Gómez Herrero P, Soriano Castrejón Á. 18 F-FDG PET/CT as predictor of tumor biology and prognosis in epithelial ovarian carcinoma. Rev Esp Med Nucl Imagen Mol 2017; 36:233-40. [DOI: 10.1016/j.remnie.2017.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Gallicchio R, Nardelli A, Venetucci A, Capacchione D, Pelagalli A, Sirignano C, Mainenti P, Pedicini P, Guglielmi G, Storto G. F-18 FDG PET/CT metabolic tumor volume predicts overall survival in patients with disseminated epithelial ovarian cancer. Eur J Radiol 2017; 93:107-113. [PMID: 28668403 DOI: 10.1016/j.ejrad.2017.05.036] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Revised: 05/24/2017] [Accepted: 05/25/2017] [Indexed: 01/07/2023]
Abstract
OBJECTIVE We evaluated the prognostic impact of quantitative assessment by maximum standardized uptake value (SUVmax), metabolic tumour volume (MTV) and tumour lesion glycolysis (TLG) on [F-18] FDG PET/CT for patients with peritoneal carcinomatosis from epithelial ovarian cancer (EOC). METHODS Thirty-one patients with EOC underwent PET/CT for an early restaging after cytoreductive surgery, having been diagnosed with carcinomatosis (before chemotherapy). The SUVmax, MTV (cm3; 42% threshold) and TLG (g) were registered on residual peritoneal lesions. The patients were followed up 20±12months thereafter. The PET/CT results were compared to overall survival (OS). RESULTS The Kaplan-Meier survival analysis for the SUVmax did not reveal significant differences in OS (p=0.48). The MTV survival analysis showed a significant higher OS in patients presenting with a higher tumour burden than those with less tumour burden (p=0.01; 26 vs. 14 months), whereas TLG exhibited a similar trend though not significant (p=0.06). Apart from chemo-resistance, the higher the MTV, the better will be the response to chemotherapy. CONCLUSIONS Quantitative assessment by MTV rather than by SUVmax and TLG on PET/CT may be helpful for stratifying patients who present with peritoneal carcinomatosis from EOC, in order to implement the appropriate therapeutic regimen.
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Affiliation(s)
- Rosj Gallicchio
- Medicina Nucleare, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Centro di Riferimento Oncologico della Basilicata (CROB), Rionero in Vulture, Italy
| | - Anna Nardelli
- Istituto di Biostrutture e Bioimmagini, Consiglio Nazionale delle Ricerche (CNR), Naples, Italy
| | - Angela Venetucci
- Medicina Nucleare, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Centro di Riferimento Oncologico della Basilicata (CROB), Rionero in Vulture, Italy
| | - Daniela Capacchione
- Medicina Nucleare, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Centro di Riferimento Oncologico della Basilicata (CROB), Rionero in Vulture, Italy
| | - Alessandra Pelagalli
- Istituto di Biostrutture e Bioimmagini, Consiglio Nazionale delle Ricerche (CNR), Naples, Italy
| | - Cesare Sirignano
- Istituto di Biostrutture e Bioimmagini, Consiglio Nazionale delle Ricerche (CNR), Naples, Italy
| | - Pierpaolo Mainenti
- Istituto di Biostrutture e Bioimmagini, Consiglio Nazionale delle Ricerche (CNR), Naples, Italy
| | - Piernicola Pedicini
- Medicina Nucleare, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Centro di Riferimento Oncologico della Basilicata (CROB), Rionero in Vulture, Italy
| | | | - Giovanni Storto
- Medicina Nucleare, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Centro di Riferimento Oncologico della Basilicata (CROB), Rionero in Vulture, Italy.
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González García B, García Vicente AM, Jiménez Londoño GA, Pena Pardo FJ, Bellón Guardia ME, Talavera Rubio MP, Palomar Muñoz A, Gómez Herrero P, Soriano Castrejón ÁM. 18F-FDG PET/CT as predictor of tumour biology and prognosis in epithelial ovarian carcinoma. Rev Esp Med Nucl Imagen Mol 2017; 36:233-240. [PMID: 28284928 DOI: 10.1016/j.remn.2017.01.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Accepted: 01/05/2017] [Indexed: 01/09/2023]
Abstract
OBJECTIVE To investigate the relationship between maximum standardised uptake value (SUVmax) of ovarian lesions and histopathology subtypes, and their involvement in the response and prognosis of patients with epithelial ovarian carcinoma (EOC). MATERIAL AND METHODS A retrospective analysis of 31 patients with EOC and 18F-FDG-PET/CT before treatment, including an assessment of the SUVmax of ovarian lesion. Histopathological diagnosis and follow-up was performed. A study was made on the relationship between the SUVmax and histological type (type I and II) and tumour stage, as well as the role of various parameters (SUVmax, histology, stage) on the patient outcomes (complete response [CR], overall survival [OS], disease-free survival [DFS], and disease-free [DF] status, at 12 and 24 months). RESULTS The medium SUVmax in type I lesions was lower than in type II (6.3 and 9.3, respectively; P=.03). A 7.1 cut-off was set for SUVmax in order to identify type II EOC (sensitivity: 77.8%, specificity: 69.2%; AUC=0.748; P=.02). No significant relationship was found between tumour stage and SUVmax. CR was more common in early stages; relative risk (RR) of 1.64; P=.003, as well as in type I tumours and a lower SUVmax. Tumour stage was decisive in DFS (P=.04), LE24m (0.07) and OS (P=.08). Longer DFS and a higher percentage of DF 24m were observed in type I tumours (RR: 1.32; P=.26). CONCLUSIONS SUVmax was related to EOC histology, so could predict the response and prognosis of these patients. No association was found between glycolytic activity of the primary tumor with the response and prognosis.
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Affiliation(s)
| | | | | | - F J Pena Pardo
- Hospital General Universitario Ciudad Real, Ciudad Real, España
| | | | | | - A Palomar Muñoz
- Hospital General Universitario Ciudad Real, Ciudad Real, España
| | - P Gómez Herrero
- Hospital General Universitario Ciudad Real, Ciudad Real, España
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14
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Khiewvan B, Torigian DA, Emamzadehfard S, Paydary K, Salavati A, Houshmand S, Werner TJ, Alavi A. An update on the role of PET/CT and PET/MRI in ovarian cancer. Eur J Nucl Med Mol Imaging 2017; 44:1079-1091. [PMID: 28180966 DOI: 10.1007/s00259-017-3638-z] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Accepted: 01/24/2017] [Indexed: 01/22/2023]
Abstract
This review article summarizes the role of PET/CT and PET/MRI in ovarian cancer. With regard to the diagnosis of ovarian cancer, the presence of FDG uptake within the ovary of a postmenopausal woman raises the concern for ovarian cancer. Multiple studies show that FDG PET/CT can detect lymph node and distant metastasis in ovarian cancer with high accuracy and may, therefore, alter the management to obtain better clinical outcomes. Although PET/CT staging is superior for N and M staging of ovarian cancer, its role is limited for T staging. Additionally, FDG PET/CT is of great benefit in evaluating treatment response and has prognostic value in patients with ovarian cancer. FDG PET/CT also has value to detect recurrent disease, particularly in patients with elevated serum CA-125 levels and negative or inconclusive conventional imaging test results. PET/MRI may beneficial for tumor staging because MRI has higher soft tissue contrast and no ionizing radiation exposure compared to CT. Some non-FDG PET radiotracers such as 18F-fluorothymidine (FLT) or 11C-methionine (MET) have been studied in preclinical and clinical studies as well and may play a role in the evaluation of patients with ovarian cancer.
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Affiliation(s)
- Benjapa Khiewvan
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
- Division of Nuclear Medicine, Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand, 10700
| | - Drew A Torigian
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Sahra Emamzadehfard
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Koosha Paydary
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Ali Salavati
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Sina Houshmand
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Thomas J Werner
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
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15
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Bjørn SF, Schnack TH, Lajer H, Christensen IJ, Lundvall L, Thomsen LN, Høgdall C. Classification of Ovarian Cancer Surgery Facilitates Treatment Decisions in a Gynecological Multidisciplinary Team. Int J Gynecol Cancer 2017; 27:382-9. [DOI: 10.1097/igc.0000000000000876] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
ObjectiveProper planning of intervention and care of ovarian cancer surgery is of outmost importance and involves a wide range of personnel at the departments involved. The aim of this study is to evaluate the introduction of an ovarian surgery classification (COVA) system for facilitating multidisciplinary team (MDT) decisions.Materials and MethodsFour hundred eighteen women diagnosed with ovarian cancers (n = 351) or borderline tumors (n = 66) were selected for primary debulking surgery from January 2008 to July 2013. At an MDT meeting, women were allocated into 3 groups named “pre-COVA” 1 to 3 classifying the expected extent of the primary surgery and need for postoperative care. On the basis of the operative procedures performed, women were allocated into 1 of the 3 corresponding COVA 1 to 3 groups. The outcome measure was the predictive value of the pre-COVA score compared with the actual COVA performed.ResultsThe MDT meeting allocated 213 women (51%) to pre-COVA 1, 136 (33%) to pre-COVA 2, and 52 (12%) to pre-COVA 3. At the end of surgery, 168 (40%) were classified as COVA 1, 158 (38%) were classified as COVA 2, and 28 (7%) were classified as COVA 3. Traced individually, 212 (51%) patients were correctly preclassified at the MDT meeting and distributed into 110 (52%) COVA 1, 71 (52%) COVA 2, and 17 (32%) COVA 3. Analyzing the subgroup of patients with cancer, 164 (47%) were correctly preclassified. Regarding the International Federation of Gynecology and Obstetrics (FIGO) stages, the pre-COVA classification predicted the actual COVA group in 79 (49%) FIGO stages I to IIIB and in 85 (45%) FIGO stages IIIC to IV.ConclusionsThe COVA classification system is a simple and useful tool in the MDT setting where specialists make treatment decisions based on advanced technology. The use of pre-COVA classification facilitates well-organized patient care–relevant procedures to be undertaken. Pre-COVA accurately predicts the final COVA in 51% classified women.
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16
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Yamamoto M, Tsujikawa T, Fujita Y, Chino Y, Kurokawa T, Kiyono Y, Okazawa H, Yoshida Y. Metabolic tumor burden predicts prognosis of ovarian cancer patients who receive platinum-based adjuvant chemotherapy. Cancer Sci 2016; 107:478-85. [PMID: 26789906 PMCID: PMC4832857 DOI: 10.1111/cas.12890] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2015] [Revised: 01/07/2016] [Accepted: 01/12/2016] [Indexed: 01/21/2023] Open
Abstract
Volumetric parameters of positron emission tomography–computed tomography using 18F‐fludeoxyglucose (18F‐FDG PET/CT) that comprehensively reflect both metabolic activity and tumor burden are capable of predicting survival in several cancers. The aim of this study was to investigate the predictive performance of metabolic tumor burden measured by 18F‐FDG PET/CT in ovarian cancer patients who received platinum‐based adjuvant chemotherapy after cytoreductive surgery. Included in this study were 37 epithelial ovarian cancer patients. Metabolic tumor burden in terms of metabolic tumor volume (MTV) and total lesion glycolysis (TLG), clinical stage, histological type, residual tumor after primary cytoreductive surgery, baseline serum carbohydrate antigen 125 (CA125) level, and the maximum standardized uptake value (SUVmax) were determined, and compared for their performance in predicting progression‐free survival (PFS). Metabolic tumor volume correlated with CA125 (r = 0.547, P < 0.001), and TLG correlated with SUVmax and CA125 (SUVmax, r = 0.437, P = 0.007; CA125, r = 0.593, P < 0.001). Kaplan–Meier analysis showed a significant difference in PFS between the groups categorized by TLG (P = 0.043; log–rank test). Univariate analysis indicated that TLG was a statistically significant risk factor for poor PFS. Multivariate analysis adjusted according to the clinicopathological features was carried out for MTV, TLG, SUVmax, tumor size, and CA125. Only TLG showed a significant difference (P = 0.038), and a 3.915‐fold increase in the hazard ratio of PFS. Both MTV and TLG (especially TLG) could serve as potential surrogate biomarkers for recurrence in patients who undergo primary cytoreductive surgery followed by platinum‐based chemotherapy, and could identify patients at high risk of recurrence who need more aggressive treatment.
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Affiliation(s)
- Makoto Yamamoto
- Department of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Tetsuya Tsujikawa
- Biomedical Imaging Research Center, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Yuko Fujita
- Department of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Yoko Chino
- Department of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Tetsuji Kurokawa
- Department of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Yasushi Kiyono
- Biomedical Imaging Research Center, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Hidehiko Okazawa
- Biomedical Imaging Research Center, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Yoshio Yoshida
- Department of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
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17
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Nagle CM, Dixon SC, Jensen A, Kjaer SK, Modugno F, deFazio A, Fereday S, Hung J, Johnatty SE, Fasching PA, Beckmann MW, Lambrechts D, Vergote I, Van Nieuwenhuysen E, Lambrechts S, Risch HA, Rossing MA, Doherty JA, Wicklund KG, Chang-Claude J, Goodman MT, Ness RB, Moysich K, Heitz F, du Bois A, Harter P, Schwaab I, Matsuo K, Hosono S, Goode EL, Vierkant RA, Larson MC, Fridley BL, Høgdall C, Schildkraut JM, Weber RP, Cramer DW, Terry KL, Bandera EV, Paddock L, Rodriguez-Rodriguez L, Wentzensen N, Yang HP, Brinton LA, Lissowska J, Høgdall E, Lundvall L, Whittemore A, McGuire V, Sieh W, Rothstein J, Sutphen R, Anton-Culver H, Ziogas A, Pearce CL, Wu AH, Webb PM. Obesity and survival among women with ovarian cancer: results from the Ovarian Cancer Association Consortium. Br J Cancer 2015; 113:817-26. [PMID: 26151456 PMCID: PMC4559823 DOI: 10.1038/bjc.2015.245] [Citation(s) in RCA: 97] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2015] [Revised: 06/01/2015] [Accepted: 06/10/2015] [Indexed: 12/15/2022] Open
Abstract
Background: Observational studies have reported a modest association between obesity and risk of ovarian cancer; however, whether it is also associated with survival and whether this association varies for the different histologic subtypes are not clear. We undertook an international collaborative analysis to assess the association between body mass index (BMI), assessed shortly before diagnosis, progression-free survival (PFS), ovarian cancer-specific survival and overall survival (OS) among women with invasive ovarian cancer. Methods: We used original data from 21 studies, which included 12 390 women with ovarian carcinoma. We combined study-specific adjusted hazard ratios (HRs) using random-effects models to estimate pooled HRs (pHR). We further explored associations by histologic subtype. Results: Overall, 6715 (54%) deaths occurred during follow-up. A significant OS disadvantage was observed for women who were obese (BMI: 30–34.9, pHR: 1.10 (95% confidence intervals (CIs): 0.99–1.23); BMI: ⩾35, pHR: 1.12 (95% CI: 1.01–1.25)). Results were similar for PFS and ovarian cancer-specific survival. In analyses stratified by histologic subtype, associations were strongest for women with low-grade serous (pHR: 1.12 per 5 kg m−2) and endometrioid subtypes (pHR: 1.08 per 5 kg m−2), and more modest for the high-grade serous (pHR: 1.04 per 5 kg m−2) subtype, but only the association with high-grade serous cancers was significant. Conclusions: Higher BMI is associated with adverse survival among the majority of women with ovarian cancer.
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Affiliation(s)
- C M Nagle
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - S C Dixon
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Population Health, University of Queensland, Brisbane, QLD, Australia
| | - A Jensen
- Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - S K Kjaer
- Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - F Modugno
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pennsylvania, PA, USA.,Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pennsylvania, PA, USA.,Womens Cancer Research Program, Magee-Womens Research Institute and University of Pittsburgh Cancer Institute, Pennsylvania, PA, USA
| | - A deFazio
- Department of Gynaecological Oncology, Westmead Hospital, Westmead, NSW, Australia.,Center for Cancer Research, University of Sydney at the Westmead Millennium Institute, Westmead, NSW, Australia
| | - S Fereday
- Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia
| | - J Hung
- Department of Gynaecological Oncology, Westmead Hospital, Westmead, NSW, Australia.,Center for Cancer Research, University of Sydney at the Westmead Millennium Institute, Westmead, NSW, Australia
| | - S E Johnatty
- Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | | | - P A Fasching
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California at Los Angeles, Los Angeles, CA, USA.,Department of Gynecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - M W Beckmann
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - D Lambrechts
- Vesalius Research Center, VIB, Leuven, Belgium.,Department of Oncology, University of Leuven, Leuven, Belgium
| | - I Vergote
- Department of Obstetrics and Gynecology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - E Van Nieuwenhuysen
- Department of Obstetrics and Gynecology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - S Lambrechts
- Department of Obstetrics and Gynecology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - H A Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - M A Rossing
- Program in Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - J A Doherty
- Department of Community and Family Medicine, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - K G Wicklund
- Program in Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - J Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - M T Goodman
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - R B Ness
- School of Public Health, University of Texas, Houston, TX, USA
| | - K Moysich
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - F Heitz
- Department of Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte/Evang. Huyssens-Stiftung/Knappschaft GmbH, Essen, Germany.,Department of Gynecology and Gynecologic Oncology, Dr Horst Schmidt Kliniken Wiesbaden, Wiesbaden, Germany
| | - A du Bois
- Department of Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte/Evang. Huyssens-Stiftung/Knappschaft GmbH, Essen, Germany.,Department of Gynecology and Gynecologic Oncology, Dr Horst Schmidt Kliniken Wiesbaden, Wiesbaden, Germany
| | - P Harter
- Department of Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte/Evang. Huyssens-Stiftung/Knappschaft GmbH, Essen, Germany.,Department of Gynecology and Gynecologic Oncology, Dr Horst Schmidt Kliniken Wiesbaden, Wiesbaden, Germany
| | - I Schwaab
- Institut für Humangenetik Wiesbaden, Wiesbaden, Germany
| | - K Matsuo
- Department of Preventive Medicine, Faculty of Medical Sciences, Kyushu University, Nagoya, Aichi, Japan
| | - S Hosono
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
| | - E L Goode
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - R A Vierkant
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - M C Larson
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - B L Fridley
- Department of Biostatistics, University of Kansas, Kansas City, KS, USA
| | - C Høgdall
- Department of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - J M Schildkraut
- Department of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA
| | - R P Weber
- Department of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA
| | - D W Cramer
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital, Boston, MA, USA
| | - K L Terry
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital, Boston, MA, USA
| | - E V Bandera
- Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - L Paddock
- New Jersey State Cancer Registry, Trenton, NJ, USA
| | - L Rodriguez-Rodriguez
- Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - N Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - H P Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - L A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - J Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Cancer Center, Warsaw, Poland
| | - E Høgdall
- Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark.,Molecular Unit, Department of Pathology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - L Lundvall
- Department of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - A Whittemore
- Department of Health Research and Policy-Epidemiology, Stanford University School of Medicine, Stanford, CA, USA
| | - V McGuire
- Department of Health Research and Policy-Epidemiology, Stanford University School of Medicine, Stanford, CA, USA
| | - W Sieh
- Department of Health Research and Policy-Epidemiology, Stanford University School of Medicine, Stanford, CA, USA
| | - J Rothstein
- Department of Health Research and Policy-Epidemiology, Stanford University School of Medicine, Stanford, CA, USA
| | - R Sutphen
- Epidemiology Center, College of Medicine, University of South Florida, Tampa, FL, USA
| | - H Anton-Culver
- Department of Epidemiology, School of Medicine, University of California Irvine, Irvine, California, USA
| | - A Ziogas
- Department of Epidemiology, School of Medicine, University of California Irvine, Irvine, California, USA
| | - C L Pearce
- Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - A H Wu
- Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - P M Webb
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Population Health, University of Queensland, Brisbane, QLD, Australia
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18
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Fagö-Olsen CL, Ottesen B, Kehlet H, Antonsen SL, Christensen IJ, Markauskas A, Mosgaard BJ, Ottosen C, Sogaard CH, Hoegdall C. Differences in regional diagnostic strategies and in intended versus actual first-line treatment of patients with advanced ovarian cancer in Denmark. Int J Gynecol Cancer 2014; 24:1195-205. [PMID: 25101855 DOI: 10.1097/IGC.0000000000000200] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Triage of patients with ovarian cancer to primary debulking surgery (PDS) or neoadjuvant chemotherapy (NACT) is challenging. In Denmark, the use of NACT has increased, but substantial differences in the use of NACT or PDS exist among centers. We aimed to characterize the differences between intended and actual first-line treatments in addition to the differences in the triage process among the centers and to evaluate the different diagnostic modalities and the clinical aspects' influence in the triage process. MATERIALS AND METHODS From 4 centers, forms containing data about the diagnostic process and intended treatment were prospectively collected and merged with data from the Danish Gynecological Cancer Database and medical records. RESULTS Of the 671 completed forms, 540 patients had stage IIIC or IV epithelial ovarian cancer. Of the 238 (44%) referred to PDS, 91% received PDS and 4% never had debulking surgery. Of the 288 patients (53%) referred to NACT, 44% were never debulked. Fourteen patients (3%) were referred to palliative treatment. The use of different imaging modalities, diagnostic laparoscopy, and laparotomy varied significantly among the centers. Diagnostic surgical procedures were considered to be most influential in the triage process. Regardless of the intended first-line treatment or center, the tumor size and dissemination was the most influential clinical aspect. CONCLUSIONS In Denmark, substantial differences exist between intended and actual first-line treatments as well as in the diagnostic process and use of NACT, calling for further discussion on diagnostic strategy and therapeutically approach for patients with advanced ovarian cancer.
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Park HL, Yoo IeR, O JH, Han EJ, Kim SH. F-18 FDG PET/CT findings of metastatic ovarian tumors from gastrointestinal tract origin. J Cancer Res Clin Oncol 2015; 141:1871-8. [PMID: 25935146 DOI: 10.1007/s00432-015-1978-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Accepted: 04/23/2015] [Indexed: 10/23/2022]
Abstract
PURPOSE To review the F-18 FDG PET/CT findings of metastatic ovarian tumors and to determine any correlation between FDG uptake by metastatic ovarian tumors and that by the primary tumors. METHODS PET/CT performed from June 2005 to March 2011 on patients with metastatic ovarian tumors of gastrointestinal tract origin malignancies was analyzed retrospectively. The SUV(max) of metastatic ovarian tumors and primary tumors, when available, was measured. RESULTS Thirty-two patients were included. Of the 32 cases, 20 had metastatic tumors in bilateral ovaries and 12 had in a single ovary. The mean SUV(max) of the 52 total lesions was 4.1 ± 3.1 (range 1.2-13.3), and 46 lesions showed a heterogeneous FDG uptake pattern. In 22 cases with available primary tumor SUV(max) values, there was a moderate positive correlation with the SUV(max) of the corresponding metastatic tumors (r = 0.559, p = 0.007). There was no significant correlation between the size and SUV(max) of metastatic ovarian tumors (p = 0.128). The mean SUV(max) of metastatic ovarian tumors from colorectal cancers was significantly higher than that of stomach cancers (p = 0.039). CONCLUSIONS Metastatic ovarian tumors showed FDG uptake of variable intensity, depending on the primary tumor type. The FDG uptake pattern was heterogeneous by PET imaging in vast majority of the cases. When the primary tumor demonstrates a low FDG uptake, careful evaluation is necessary since the metastatic ovarian tumors may also show low FDG uptake.
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20
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Tanizaki Y, Kobayashi A, Shiro M, Ota N, Takano R, Mabuchi Y, Yagi S, Minami S, Terada M, Ino K. Diagnostic value of preoperative SUVmax on FDG-PET/CT for the detection of ovarian cancer. Int J Gynecol Cancer 2014; 24:454-60. [PMID: 24463640 DOI: 10.1097/IGC.0000000000000074] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
OBJECTIVE The objective of this study was to investigate the preoperative diagnostic value of F-fluoro-2-deoxy-D-glucose (FDG) positron emission tomography and computed tomography (PET/CT) in patients with ovarian cancer. METHODS One hundred sixty patients suspected of having malignant ovarian tumors were included in this study. All patients underwent FDG-PET/CT scans before operation, and the maximum standardized uptake value (SUVmax) of the primary tumor was measured. We evaluated the diagnostic accuracy of SUVmax for detecting malignancy and its relationship with histological findings. RESULTS Postoperative pathological diagnoses showed that 67 were malignant, 14 were borderline malignant, and 79 were benign tumors. With the use of a cutoff SUVmax of 2.9 obtained from the receiver operating characteristic curve analysis, the sensitivity, specificity, positive predictive value, and negative predictive value for detecting malignancy were 80.6%, 94.6%, 91.5%, and 87.1%, respectively. Positive FDG accumulation (SUVmax ≥ 2.9) was shown in 89.5% of serous adenocarcinoma and in 92.3% of endometrioid adenocarcinoma. In contrast, lower frequencies of positive FDG accumulation were shown in clear cell adenocarcinoma (54.5%), mucinous adenocarcinoma (66.7%), and metastatic carcinoma (66.7%), and the median SUVmax of these 3 histological types were significantly lower than those of serous and endometrioid types. In addition, a positive FDG accumulation was shown in all patients with malignant transformation of mature cystic teratoma. Finally, of the 14 borderline malignant tumors, only 2 (14.3%) showed positive FDG accumulation. CONCLUSIONS The SUVmax on FDG-PET/CT is useful for differentiating ovarian cancer from borderline or benign tumor with a high specificity and positive predictive value. However, our data also demonstrated a lower FDG uptake value in clear cell or mucinous histological finding, suggesting that SUVmax may vary depending on the tumor histological subtype.
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Hildebrandt MG, Kodahl AR, Teilmann-Jørgensen D, Mogensen O, Jensen PT. [18F]Fluorodeoxyglucose PET/Computed Tomography in Breast Cancer and Gynecologic Cancers. PET Clin 2015; 10:89-104. [DOI: 10.1016/j.cpet.2014.09.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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Shim SH, Kim DY, Seo MJ, Lee SW, Park JY, Lee JJ, Kim JH, Kim YM, Kim YT, Nam JH. Preoperative fluorine 18 fluorodeoxyglucose tumoral uptake ratio between upper and lower abdomen in primary advanced-stage ovarian cancer. Int J Gynecol Cancer 2013; 23:1383-92. [PMID: 24257552 DOI: 10.1097/IGC.0b013e3182a58992] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVE The objective of this study was to assess whether the ratio of upper abdomen (UA) to lower abdomen (LA) (relative to the umbilicus) standardized fluorine 18 fluorodeoxyglucose uptake, as measured by preoperative positron emission tomography and computed tomography, is predictive of recurrence, survival, and suboptimal cytoreduction (residual tumor >1.0 cm) in advanced-stage ovarian cancer (AOC). METHODS Positron emission tomography/computed tomography before surgical staging was performed in 159 AOC patients. The ratio between the highest maximum standardized uptake value (SUV(max)) in the UA and the LA was expressed as UA/LA SUV(max). Clinicopathological characteristics and follow-up information were collected retrospectively. Cox proportional hazards analysis was used to identify prognostic factors for recurrence and survival. Logistic regression analysis was used to identify predictors of suboptimal cytoreduction. RESULTS The median age and follow-up period were 55 years (range, 27-80 years) and 32 months (range, 1-92 months), respectively; 133 and 26 patients had stage III and IV disease, respectively. There were 120 and 54 cases of recurrence and disease-specific death, respectively. Multivariate analysis showed that recurrence was associated significantly with high UA/LA SUV(max) (P < 0.05; hazard ratio [HR], 4.902; 95% confidence interval [CI], 2.521-9.531) and suboptimal cytoreduction (P < 0.05; HR, 2.431; 95% CI, 1.561-3.788), and that disease-specific death was significantly associated with high UA/LA SUV(max) (P < 0.05; HR, 2.777; 95% CI, 1.270-6.075), suboptimal cytoreduction (P < 0.05; HR, 1.951; 95% CI, 1.080-3.524), and histology (P < 0.05; HR, 4.134; 95% CI, 1.676-10.196). Upper abdomen/lower abdomen SUV(max) was the only independent predictor of suboptimal cytoreduction (P < 0.05; odds ratio, 4.644; 95% CI, 1.676-12.862). CONCLUSIONS High preoperative UA/LA SUV(max) was significantly associated with poor prognosis and may be predictive of suboptimal cytoreduction in AOC. This parameter may be considered in the treatment of AOC patients.
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Dauwen H, Van Calster B, Deroose C, Op de Beeck K, Amant F, Neven P, Berteloot P, Leunen K, Timmerman D, Vergote I. PET/CT in the staging of patients with a pelvic mass suspicious for ovarian cancer. Gynecol Oncol 2013; 131:694-700. [DOI: 10.1016/j.ygyno.2013.08.020] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2013] [Revised: 08/16/2013] [Accepted: 08/17/2013] [Indexed: 11/19/2022]
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Fagotti A, Vizzielli G, Fanfani F, Costantini B, Ferrandina G, Gallotta V, Gueli Alletti S, Tortorella L, Scambia G. Introduction of staging laparoscopy in the management of advanced epithelial ovarian, tubal and peritoneal cancer: impact on prognosis in a single institution experience. Gynecol Oncol 2013; 131:341-6. [PMID: 23938372 DOI: 10.1016/j.ygyno.2013.08.005] [Citation(s) in RCA: 81] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2013] [Revised: 07/26/2013] [Accepted: 08/02/2013] [Indexed: 01/08/2023]
Abstract
OBJECTIVE To evaluate the prognostic impact of routinely use of staging laparoscopy (S-LPS) in patients with primary advanced epithelial ovarian cancer (AEOC). METHODS All women were submitted to S-LPS before receiving primary debulking surgery (PDS) or neoadjuvant treatment (NACT). The surgical and survival outcome were evaluated by univariate and multivariate analysis. RESULTS Among 300 consecutive patients submitted to S-LPS no complications related to the surgical procedure were registered. The laparoscopic evaluation showed that almost half of the patients (46.3%) had a high tumor load. One-hundred forty-eight (49.3%) women were considered suitable for PDS and the remaining 152 (50.7%) were submitted to NACT. The percentages of complete (residual tumor, RT=0) and optimal (RT<1cm) cytoreduction of PDS and interval debulking surgery (IDS) were 62.1% and 57.5%, 22.5% and 27.7%, respectively, p=0.07. The post-operative complications of NACT/IDS group were lower than PDS group (p=0.01). The median progression free survival in women with RT=0 at PDS was 25 months (95% CI, 15.1-34.8), which was statistically significant longer than in all other patients, irrespective of the type of treatment they received (p=0.0001). At multivariate analysis, residual disease (p=0.011) and performance status (p=0.016) maintained an independent association with the PFS. CONCLUSIONS Including S-LPS in a tertiary referral center for the management AEOC does not appear to have a negative impact in terms of survival and it may be helpful to individualize the treatment avoiding unnecessary laparotomies and surgical complications.
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Affiliation(s)
- A Fagotti
- Division of Minimally Invasive Ginecological Surgery - St. Maria Hospital - University of Perugia, Terni, Italy.
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Glaser G, Torres M, Kim B, Aletti G, Weaver A, Mariani A, Hartmann L, Cliby W. The use of CT findings to predict extent of tumor at primary surgery for ovarian cancer. Gynecol Oncol 2013; 130:280-3. [PMID: 23672930 DOI: 10.1016/j.ygyno.2013.05.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2013] [Revised: 04/26/2013] [Accepted: 05/05/2013] [Indexed: 11/21/2022]
Abstract
BACKGROUND High tumor dissemination (HTD) is a major risk factor for serious morbidity after primary ovarian cancer (OC) surgery, particularly in medically compromised patients. We performed a pilot study of whether CT findings could predict extent of disease and surgical complexity necessary in advanced OC. METHODS Preoperative CT images for patients with advanced OC from 1997-2003 were evaluated for rigorously defined disease-related findings and compared to both the findings at exploration and the required surgical procedures. Associations were assessed by the chi-square test. RESULTS Forty-six cases met inclusion criteria. Mean age was 66.4y, and 76% had residual disease (RD) 1cm or less. CT and surgical findings correlated (sensitivity/specificity) as follows: diaphragm disease (48%/100%); surface liver (100%/93%); omental cake (72%/65%); any sigmoid involvement (54%/100%); ascites (44%/100%); extra-pelvic large bowel involvement (29%/91%). When diaphragm disease and omental cake were present, HTD was found in all cases (positive predictive value and specificity=100%, sensitivity 48%). For CT findings of liver, large bowel and spleen involvement there was a strong trend toward resection (P=0.001, P=0.06 and P=0.06, respectively). CONCLUSIONS The findings of diaphragm disease and omental cake on CT scan are highly predictive for high tumor dissemination (HTD) and thus likelihood of extensive surgery required to achieve low residual disease. In addition, multiple CT findings correlate strongly with the need for higher surgical complexity which should facilitate preoperative planning and/or triage to specialized centers. These preliminary data suggest specific CT findings can be used to optimize treatment planning.
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Fagö-Olsen CL, Håkansson F, Antonsen SL, Høgdall E, Lundvall L, Nedergaard L, Engelholm SA, Høgdall C. Diagnostic accuracy of risk of malignancy index in predicting complete tumor removal at primary debulking surgery for ovarian cancer patients. Acta Obstet Gynecol Scand 2013; 92:721-6. [DOI: 10.1111/aogs.12127] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2012] [Accepted: 02/20/2013] [Indexed: 11/30/2022]
Affiliation(s)
- Carsten L. Fagö-Olsen
- Department of Gynecology; Rigshospitalet; Copenhagen University Hospital; Copenhagen; Denmark
| | - Fanny Håkansson
- Department of Gynecology; Rigshospitalet; Copenhagen University Hospital; Copenhagen; Denmark
| | - Sofie L. Antonsen
- Department of Gynecology; Rigshospitalet; Copenhagen University Hospital; Copenhagen; Denmark
| | - Estrid Høgdall
- The Danish Cancer Biobank; Department of Pathology; Herlev Hospital, Copenhagen University Hospital; Copenhagen; Denmark
| | - Lene Lundvall
- Department of Gynecology; Rigshospitalet; Copenhagen University Hospital; Copenhagen; Denmark
| | - Lotte Nedergaard
- Department of Pathology; Rigshospitalet; Copenhagen University Hospital; Copenhagen; Denmark
| | - Svend A. Engelholm
- Department of Radiation Oncology; Rigshospitalet; Copenhagen University Hospital; Copenhagen; Denmark
| | - Claus Høgdall
- Department of Gynecology; Rigshospitalet; Copenhagen University Hospital; Copenhagen; Denmark
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Chung HH, Kwon HW, Kang KW, Park NH, Song YS, Chung JK, Kang SB, Kim JW. Prognostic value of preoperative metabolic tumor volume and total lesion glycolysis in patients with epithelial ovarian cancer. Ann Surg Oncol 2011; 19:1966-72. [PMID: 22124757 DOI: 10.1245/s10434-011-2153-x] [Citation(s) in RCA: 113] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2011] [Indexed: 11/18/2022]
Abstract
PURPOSE Metabolic tumor volume (MTV) and total lesion glycolysis (TLG) are measures of metabolic activity of tumors determined by fluorine-18 fluorodeoxyglucose ([(18)F]FDG) uptake on PET/CT images. The purpose of this study was to investigate the relationship between functional tumor parameters (MTV and TLG) and clinical outcomes in patients with epithelial ovarian cancer (EOC). METHODS Fifty-five patients with EOC who had undergone [(18)F]FDG PET/CT before surgical staging were included in this retrospectively study. For each patient, we determined the highest (SUV(max) and SUV(avg)), the cumulative TLG, and the sum of all MTV, and compared their predictive value of recurrence and the effects of pretreatment functional tumor activity on progression-free interval (PFI). RESULTS The median duration of PFI was 11 (range 3-43) months, and 20 patients (36.4%) experienced recurrence. Poor outcome was associated with higher values for both the MTV (P = 0.022, hazard ratio 5.571, 95% confidence interval 1.279-24.272) and the TLG (P = 0.037, hazard ratio 2.967, 95% confidence interval 1.065-8.265). The Kaplan-Meier survival graphs showed a significant difference in PFI between the groups categorized by MTV and TLG, respectively (P = 0.01 for MTV, P = 0.0287 for TLG, log rank test). CONCLUSIONS Pretreatment metabolic parameters such as MTV and TLG showed statistically significant association with recurrence in patients with EOC. These values can be useful quantitative criteria for disease prognostication in patients with EOC before treatment.
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Affiliation(s)
- Hyun Hoon Chung
- Department of Obstetrics and Gynecology, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
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Fiaschetti V, Calabria F, Crusco S, Meschini A, Nucera F, Schillaci O, Simonetti G. MR-PET fusion imaging in evaluating adnexal lesions: a preliminary study. Radiol Med 2011; 116:1288-302. [PMID: 21892714 DOI: 10.1007/s11547-011-0720-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2010] [Accepted: 12/28/2010] [Indexed: 11/27/2022]
Abstract
PURPOSE The objective of this preliminary study was to examine the effects of combined magnetic resonance/positron emission tomography (MR-PET) evaluation in the morphofunctional characterisation of ovarian lesions. MATERIALS AND METHODS From June 2008 to September 2010, we evaluated 24 patients (mean age 44±10 years; range 24-74) with ovarian lesions incidentally detected on ultrasonography (US) and/or multislice computed tomography (CT). All patients underwent MR imaging of the pelvis and total-body CT-PET. PET and MR images were subsequently fused at postprocessing using specific anatomical criteria. Results were compared with the histological examination. RESULTS Of the 24 examined lesions, 19 were malignant and five were benign on histological examination. MR, CT-PET and MR-PET sensitivity was 84%, 74% and 94%, respectively and specificity 60%, 80% and 100%, respectively. Positive (PPV) and negative predictive (NPV) values were 93% and 44% for CT-PET, 89% and 50% for MR and 100% and 83% for MR-PET, respectively. CONCLUSIONS Pelvic MR-PET fusion imaging provides advantages in terms of sensitivity and especially specificity compared with MR imaging or CT-PET alone. The added value of this fusion imaging modality lies in combining the benefits of the morphological evaluation provided by MR imaging and the metabolic assessment provided by PET.
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Affiliation(s)
- V Fiaschetti
- Dipartimento di Diagnostica per Immagini, Imaging Molecolare, Radiologia Interventistica e Radioterapia, Policlinico Universitario Tor Vergata, Viale Oxford 81, 00133, Roma, Italy
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