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Zhong S, Ai C, Ding Y, Tan J, Jin Y, Wang H, Zhang H, Li M, Zhu R, Gu S, Zhang Y. Combining multimodal diffusion-weighted imaging and morphological parameters for detecting lymph node metastasis in cervical cancer. Abdom Radiol (NY) 2024:10.1007/s00261-024-04494-3. [PMID: 38990301 DOI: 10.1007/s00261-024-04494-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 07/05/2024] [Accepted: 07/06/2024] [Indexed: 07/12/2024]
Abstract
BACKGROUND Accurate detection of lymph node metastasis (LNM) is crucial for determining the tumor stage, selecting optimal treatment, and estimating the prognosis for cervical cancer. This study aimed to assess the diagnostic efficacy of multimodal diffusion-weighted imaging (DWI) and morphological parameters alone or in combination, for detecting LNM in cervical cancer. METHODS In this prospective study, we enrolled consecutive cervical cancer patients who received multimodal DWI (conventional DWI, intravoxel incoherent motion DWI, and diffusion kurtosis imaging) before treatment from June 2022 to June 2023. The largest lymph node (LN) observed on each side on imaging was matched with that detected on pathology to improve the accuracy of LN matching. Comparison of the diffusion and morphological parameters of LNs and the primary tumor between the positive and negative LN groups. A combined diagnostic model was constructed using multivariate logistic regression, and the diagnostic performance was evaluated using receiver operating characteristic curves. RESULTS A total of 93 cervical cancer patients were enrolled: 35 with LNM (48 positive LNs were collected), and 58 without LNM (116 negative LNs were collected). The area under the curve (AUC) values for the apparent diffusion coefficient, diffusion coefficient, mean diffusivity, mean kurtosis, long-axis diameter, short-axis diameter of LNs, and the largest primary tumor diameter were 0.716, 0.720, 0.716, 0.723, 0.726, 0.798, and 0.744, respectively. Independent risk factors included the diffusion coefficient, mean kurtosis, short-axis diameter of LNs, and the largest primary tumor diameter. The AUC value of the combined model based on the independent risk factors was 0.920, superior to the AUC values of all the parameters mentioned above. CONCLUSION Combining multimodal DWI and morphological parameters improved the diagnostic efficacy for detecting cervical cancer LNM than using either alone.
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Affiliation(s)
- Suixing Zhong
- Department of Radiology, Yunnan Cancer Hospital, Third Affiliated Hospital of Kunming Medical University, No. 519, Kunzhou Road, Xishan District, Kunming, 650118, China
| | - Conghui Ai
- Department of Radiology, Yunnan Cancer Hospital, Third Affiliated Hospital of Kunming Medical University, No. 519, Kunzhou Road, Xishan District, Kunming, 650118, China
| | - Yingying Ding
- Department of Radiology, Yunnan Cancer Hospital, Third Affiliated Hospital of Kunming Medical University, No. 519, Kunzhou Road, Xishan District, Kunming, 650118, China
| | - Jing Tan
- Department of Radiology, Yunnan Cancer Hospital, Third Affiliated Hospital of Kunming Medical University, No. 519, Kunzhou Road, Xishan District, Kunming, 650118, China
| | - Yan Jin
- Department of Radiology, Yunnan Cancer Hospital, Third Affiliated Hospital of Kunming Medical University, No. 519, Kunzhou Road, Xishan District, Kunming, 650118, China
| | - Hongbo Wang
- Department of Radiology, Yunnan Cancer Hospital, Third Affiliated Hospital of Kunming Medical University, No. 519, Kunzhou Road, Xishan District, Kunming, 650118, China
| | - Huimei Zhang
- Department of Radiology, Yunnan Cancer Hospital, Third Affiliated Hospital of Kunming Medical University, No. 519, Kunzhou Road, Xishan District, Kunming, 650118, China
| | - Miaomiao Li
- Department of Radiology, Yunnan Cancer Hospital, Third Affiliated Hospital of Kunming Medical University, No. 519, Kunzhou Road, Xishan District, Kunming, 650118, China
| | - Rong Zhu
- Department of Radiology, Yunnan Cancer Hospital, Third Affiliated Hospital of Kunming Medical University, No. 519, Kunzhou Road, Xishan District, Kunming, 650118, China
| | - Shangwei Gu
- Department of Radiology, Yunnan Cancer Hospital, Third Affiliated Hospital of Kunming Medical University, No. 519, Kunzhou Road, Xishan District, Kunming, 650118, China
| | - Ya Zhang
- Department of Radiology, Yunnan Cancer Hospital, Third Affiliated Hospital of Kunming Medical University, No. 519, Kunzhou Road, Xishan District, Kunming, 650118, China.
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Jiang CZ, Zheng K, Zhang YY, Yang J, Ye H, Peng X. 18F-FDG PET/CT semi-quantitative parameters combined with SCC-Ag in predicting lymph node metastasis in stage I-II cervical cancer. Front Oncol 2024; 14:1278464. [PMID: 38947896 PMCID: PMC11211374 DOI: 10.3389/fonc.2024.1278464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 05/31/2024] [Indexed: 07/02/2024] Open
Abstract
Objective To explore the value of 18F-fluordeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) semi-quantitative parameters of primary tumor combined with squamous cell carcinoma antigen (SCC-Ag) in predicting lymph node metastasis (LNM) of cervical cancer (FIGO 2018 stage I-II). Materials and Methods A total of 65 patients with stage I-II cervical cancer underwent 18F-FDG PET/CT were included in our study. Comparing the primary tumor 18F-FDG PET/CT semi-quantitative parameters and SCC-Ag between the LNM group and the non-LNM group. Logistic regression and receiver operating characteristic (ROC) were used to analyze the value of 18F-FDG PET/CT metabolic parameters and SCC-Ag in predicting LNM. Results There were 14 and 51 patients were classified as having LNM and NLNM. The semi-quantitative parameters, including the maximum standardized uptake value (SUVmax), the mean standardized uptake value (SUVmean), the peak standardized uptake value (SUVpeak), the total lesion glycolysis (TLG), the metabolic tumor volume (MTV) of the tumor and SCC-Ag were all significantly higher in LNM than in NLNM (SUVmax, 16.07 ± 7.81 vs 11.19 ± 4.73, SUVmean, 9.16 ± 3.48 vs 6.29 ± 2.52, SUVpeak, 12.70 ± 5.26 vs 7.65 ± 3.26, MTV, 22.77 ± 12.36 vs 7.09 ± 5.21, TLG, 211.01 ± 154.25 vs 43.38 ± 36.17, SCC-Ag, 5.39 ± 4.56 vs 2.13 ± 2.50, all p<0.01). Logistic regression analysis showed that TLG was an independent predictor of LNM in stage I-II cervical cancer (OR 1.032, 95% CI 1.013-1.052, p<0.01). Moreover, the predictive value of TLG combined with SUVpeak and SCC-Ag increased and the area under the curve increased compared SUVpeak and SCC-Ag. Conclusion 18F-FDG PET/CT semi-quantitative parameters and SCC-Ag have promise for assessing LNM in stage I-II cervical cancer. TLG of primary tumor provides independent and increasing values in predicting LNM in stage I-II cervical cancer.
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Affiliation(s)
| | | | | | | | - Hui Ye
- Department of PET-CT Center, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Xiang Peng
- Department of PET-CT Center, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
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Zhang Y, Hu Y, Zhao S, Xu S. Validation of the 2018 FIGO staging system for stage IIIC cervical cancer by determining the metabolic and radiomic heterogeneity of primary tumors based on 18F-FDG PET/CT. Abdom Radiol (NY) 2024; 49:2027-2039. [PMID: 38526594 DOI: 10.1007/s00261-024-04226-7] [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: 11/10/2023] [Revised: 01/26/2024] [Accepted: 01/29/2024] [Indexed: 03/26/2024]
Abstract
PURPOSE This study aimed to validate the 2018 FIGO staging system of cervical cancer (CC) by determining the metabolic and radiomic heterogeneity of primary tumors between stage IIIC1 and IIIC2. METHODS 168 patients with squamous cell CC underwent pre-treatment fluorine-18 fluorodeoxyglucose positron emission computed tomography (18F-FDG PET/CT) and were randomly allocated to training and testing cohorts with a 7:3 ratio. Radiomics features were extracted from the primary tumors based on CT and PET data. Ten metabolic parameters of the primary tumors were also assessed. After feature selection, three logistic regression radiomics models, involving (1) 2 CT features, (2) 3 PET features, and (3) 2 CT features + 3 PET features, respectively, and one random forest model were established. Finally, area under the curve (AUC) values and calibration curves were used to evaluate the 4 models. RESULTS The IIIC1 and IIIC2 groups did not differ significantly in age, weight, height, or the 10 major metabolic parameters (P > 0.05). The AUCs of the 4 models were 0.577, 0.639, 0.763, and 0.506, respectively, in the training cohort, and 0.789, 0.699, 0.761, and 0.538, respectively, in the testing cohort. The model fit of the logistic regression model based on CT + PET data was good in both the training and testing cohorts. CONCLUSION Our study offers additional diagnostic options for PALN metastasis, which could impact treatment decisions. Our results indirectly support the conclusions of previous studies recommending that primary tumors should be considered during IIIC staging.
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Affiliation(s)
- Yun Zhang
- Department of PET/CT Center, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Yuxiao Hu
- Department of PET/CT Center, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
| | - Shuang Zhao
- Department of PET/CT Center, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Shanshan Xu
- Department of PET/CT Center, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
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Ciulla S, Celli V, Aiello AA, Gigli S, Ninkova R, Miceli V, Ercolani G, Dolciami M, Ricci P, Palaia I, Catalano C, Manganaro L. Post treatment imaging in patients with local advanced cervical carcinoma. Front Oncol 2022; 12:1003930. [PMID: 36465360 PMCID: PMC9710522 DOI: 10.3389/fonc.2022.1003930] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 09/26/2022] [Indexed: 10/29/2023] Open
Abstract
Cervical cancer (CC) is the fourth leading cause of death in women worldwide and despite the introduction of screening programs about 30% of patients presents advanced disease at diagnosis and 30-50% of them relapse in the first 5-years after treatment. According to FIGO staging system 2018, stage IB3-IVA are classified as locally advanced cervical cancer (LACC); its correct therapeutic choice remains still controversial and includes neoadjuvant chemo-radiotherapy, external beam radiotherapy, brachytherapy, hysterectomy or a combination of these modalities. In this review we focus on the most appropriated therapeutic options for LACC and imaging protocols used for its correct follow-up. We explore the imaging findings after radiotherapy and surgery and discuss the role of imaging in evaluating the response rate to treatment, selecting patients for salvage surgery and evaluating recurrence of disease. We also introduce and evaluate the advances of the emerging imaging techniques mainly represented by spectroscopy, PET-MRI, and radiomics which have improved diagnostic accuracy and are approaching to future direction.
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Affiliation(s)
- S Ciulla
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - V Celli
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - A A Aiello
- Department of Medical Sciences, University of Cagliari, Cagliari, Italy
| | - S Gigli
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - R Ninkova
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - V Miceli
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - G Ercolani
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - M Dolciami
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - P Ricci
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - I Palaia
- Department of Maternal and Child Health and Urological Sciences, Sapienza, University of Rome, Rome, Italy
| | - C Catalano
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
| | - L Manganaro
- Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Rome, Italy
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Khebbeb S, Rathat G, Serrand C, Bourdon A, Ferrer C, Duraes M. Interest of para-aortic lymphadenectomy for locally advanced cervical cancer in the era of PET scanning. Eur J Obstet Gynecol Reprod Biol 2022; 272:234-239. [PMID: 35397374 DOI: 10.1016/j.ejogrb.2022.03.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 02/25/2022] [Accepted: 03/28/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND AND OBJECTIVES Treatment of locally advanced cervical cancer (LACC) involves pelvic chemoradiotherapy, using an extended field in the case of para-aortic involvement. 18-Fluoro-D-glucose positron emission tomography combined with computer tomography (PET-CT) is an accurate method for the detection of metastatic nodes. The objective of this study was to evaluate the performance of PET-CT for lymph node staging of LACC. METHODS This bicentric retrospective study included patients with LACC who had a PET-CT scan followed by para-aortic lymphadenectomy between January 2015 and December 2019. Based on pathological findings, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV) and false-negative (FN) rates of PET-CT for para-aortic node involvement were evaluated. RESULTS Seventy-one patients who had undergone laparoscopic lymphadenectomy were included in this study. The intraoperative complication rate was 2.8%. Sensitivity, specificity, NPV and PPV for PET-CT were 55% [95% confidence interval (CI) 44.6-67.1], 84% (95% CI 75-92), 93% (95% CI 87-99) and 33% (95% CI 22-44), respectively. FN rates in the case of negative or positive pelvic PET-CT were 5.7% and 9.5%, respectively. CONCLUSIONS Para-aortic lymphadenectomy is recommended for lymph node staging in the case of negative para-aortic PET-CT. In view of the low FN rate of PET-CT, surgical staging should be discussed regardless of pelvic status if the patient presents high surgical risk, or if this delays the commencement of chemoradiotherapy.
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Affiliation(s)
- Sirine Khebbeb
- Department of Gynaecological and Breast Surgery, Montpellier University Hospital, Montpellier, France
| | - Gauthier Rathat
- Department of Gynaecological and Breast Surgery, Montpellier University Hospital, Montpellier, France
| | - Chris Serrand
- Clinical Research and Epidemiology Unit, Nimes University Hospital, Nimes, France
| | - Aurélie Bourdon
- Department of Nuclear Medicine, Montpellier University Hospital, Montpellier, France
| | - Catherine Ferrer
- Department of Gynaecological and Breast Surgery, Nimes University Hospital, Nimes, France
| | - Martha Duraes
- Department of Gynaecological and Breast Surgery, Montpellier University Hospital, Montpellier, France.
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Dolciami M, Capuani S, Celli V, Maiuro A, Pernazza A, Palaia I, Di Donato V, Santangelo G, Rizzo SMR, Ricci P, Della Rocca C, Catalano C, Manganaro L. Intravoxel Incoherent Motion (IVIM) MR Quantification in Locally Advanced Cervical Cancer (LACC): Preliminary Study on Assessment of Tumor Aggressiveness and Response to Neoadjuvant Chemotherapy. J Pers Med 2022; 12:jpm12040638. [PMID: 35455755 PMCID: PMC9027075 DOI: 10.3390/jpm12040638] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 04/05/2022] [Accepted: 04/11/2022] [Indexed: 01/27/2023] Open
Abstract
The aim of this study was to determine whether quantitative parameters obtained from intravoxel incoherent motion (IVIM) model at baseline magnetic resonance imaging (MRI) correlate with histological parameters and response to neoadjuvant chemotherapy in patients with locally advanced cervical cancer (LACC). Methods: Twenty patients with biopsy-proven cervical cancer, staged as LACC on baseline MRI and addressed for neoadjuvant chemotherapy were enrolled. At treatment completion, tumor response was assessed with a follow-up MRI evaluated using the revised response evaluation criteria in solid tumors (RECIST; version 1.1), and patients were considered good responders (GR) if they had complete response or partial remission, and poor responders/non-responders (PR/NR) if they had stable or progressive disease. MRI protocol included conventional diffusion-weighted imaging (DWI; b = 0 and 1000 s/mm2) and IVIM acquisition using eight b-values (range: 0–1500 s/mm2). MR-images were analyzed using a dedicated software to obtain quantitative parameters: diffusion (D), pseudo-diffusion (D*), and perfusion fraction (fp) from the IVIM model; apparent diffusion coefficient (ADC) from conventional DWI. Histologic subtype, grading, and tumor-infiltrating lymphocytes (TILs) were assessed in each LACC. Results: D showed significantly higher values in GR patients (p = 0.001) and in moderate/high TILs (p = 0.018). Fp showed significantly higher values in squamous cell tumors (p = 0.006). Conclusions: D extracted from the IVIM model could represent a promising tool to identify tumor aggressiveness and predict response to therapy.
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Affiliation(s)
- Miriam Dolciami
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (M.D.); (V.C.); (A.P.); (P.R.); (C.D.R.); (C.C.)
| | - Silvia Capuani
- CNR Institute for Complex Systems (ISC), Physics Department, Sapienza University of Rome, 00161 Rome, Italy;
| | - Veronica Celli
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (M.D.); (V.C.); (A.P.); (P.R.); (C.D.R.); (C.C.)
| | | | - Angelina Pernazza
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (M.D.); (V.C.); (A.P.); (P.R.); (C.D.R.); (C.C.)
| | - Innocenza Palaia
- Department of Maternal and Child Health and Urological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (I.P.); (V.D.D.); (G.S.)
| | - Violante Di Donato
- Department of Maternal and Child Health and Urological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (I.P.); (V.D.D.); (G.S.)
| | - Giusi Santangelo
- Department of Maternal and Child Health and Urological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (I.P.); (V.D.D.); (G.S.)
| | - Stefania Maria Rita Rizzo
- Istituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland;
- Facoltà di Scienze Biomediche, Università della Svizzera Italiana, 6900 Lugano, Switzerland
| | - Paolo Ricci
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (M.D.); (V.C.); (A.P.); (P.R.); (C.D.R.); (C.C.)
- Unit of Emergency Radiology, Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy
| | - Carlo Della Rocca
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (M.D.); (V.C.); (A.P.); (P.R.); (C.D.R.); (C.C.)
| | - Carlo Catalano
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (M.D.); (V.C.); (A.P.); (P.R.); (C.D.R.); (C.C.)
| | - Lucia Manganaro
- Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (M.D.); (V.C.); (A.P.); (P.R.); (C.D.R.); (C.C.)
- Correspondence: ; Tel.: +39-3338151295
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Zhang Y, Hu Y, Zhao S, Cui C. The Utility of PET/CT Metabolic Parameters Measured Based on Fixed Percentage Threshold of SUVmax and Adaptive Iterative Algorithm in the New Revised FIGO Staging System for Stage III Cervical Cancer. Front Med (Lausanne) 2021; 8:680072. [PMID: 34395472 PMCID: PMC8358139 DOI: 10.3389/fmed.2021.680072] [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: 03/13/2021] [Accepted: 06/30/2021] [Indexed: 12/24/2022] Open
Abstract
Objectives: The main aim of this study was to evaluate the differences in metabolic parameters of positron emission tomography with 2-deoxy-2-[fluorine-18] fluoro-D-glucose integrated with computed tomography (18F-FDG PET/CT) measured based on fixed percentage threshold of maximum standard uptake value (SUVmax) and adaptive iterative algorithm (AT-AIA) in patients with cervical cancer. Metabolic parameters in stage III patients subdivided into five groups according to FIGO and T staging (IIIB-T3B, IIIC1-T2B, IIIC1-T3B, IIIC2-T2B, IIIC2-T3B) were compared. Methods: In total, 142 patients with squamous cell cervical cancer subjected to 18F-FDG-PET/CT before treatment were retrospectively reviewed. SUVmax, mean standard uptake value (SUVmean), maximum glucose homogenization (GNmax), mean glucose homogenization (GNmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and glucose homogenization total lesion glycolysis (GNTLG) values measured based on the above two measurement methods of all 142 patients (IIB-IVB) and 102 patients in the above five groups were compared. Results: MTV measured based on fixed percentage threshold of SUVmax was lower than that based on AT-AIA (p < 0.05). MTV40%, MTV0.5, TLG0.5, GNTLG40%, and GNTLG0.5 values were significantly different among the five groups (p < 0.05) while the rest parameters were comparable (p > 0.05). All metabolic parameters of group IIIB-T3B were comparable to those of the other four groups. MTV40%, MTV0.5, GNTLG40%, and GNTLG0.5 in group IIIC1-T2B relative to IIIC1-T3B and those of group IIIC2-T2B relative to group IIIC2-T3B were significantly different. All metabolic parameters of group IIIC1-T2B relative to IIIC2-T2B and those of group IIIC1-T3B relative to group IIIC2-T3B were not significantly different. Conclusion: Metabolic parameters obtained with the two measurement methods showed a number of differences. Selection of appropriate methods for measurement of 18F-FDG-PET/CT metabolic parameters is important to facilitate advances in laboratory research and clinical applications. When stage III patients had the same T stage, their metabolic parameters of local tumor were not significantly different, regardless of the presence or absence of lymph node metastasis, location of metastatic lymph nodes in the pelvic cavity or para-abdominal aorta. These results support the utility of the revised FIGO system for stage III cervical cancer, although our T-staging of stage III disease is incomplete.
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Affiliation(s)
- Yun Zhang
- Department of PET/CT Center, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Yuxiao Hu
- Department of PET/CT Center, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Shuang Zhao
- Department of PET/CT Center, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Can Cui
- Department of PET/CT Center, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
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Olthof EP, van der Aa MA, Adam JA, Stalpers LJA, Wenzel HHB, van der Velden J, Mom CH. The role of lymph nodes in cervical cancer: incidence and identification of lymph node metastases-a literature review. Int J Clin Oncol 2021; 26:1600-1610. [PMID: 34241726 DOI: 10.1007/s10147-021-01980-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 06/24/2021] [Indexed: 01/15/2023]
Abstract
Correct identification of patients with lymph node metastasis from cervical cancer prior to treatment is of great importance, because it allows more tailored therapy. Patients may be spared unnecessary surgery or extended field radiotherapy if the nodal status can be predicted correctly. This review captures the existing knowledge on the identification of lymph node metastases in cervical cancer. The risk of nodal metastases increases per 2009 FIGO stage, with incidences in the pelvic region ranging from 2% (stage IA2) to 14-36% (IB), 38-51% (IIA) and 47% (IIB); and in the para-aortic region ranging from 2 to 5% (stage IB), 10-20% (IIA), 9% (IIB), 13-30% (III) and 50% (IV). In addition, age, tumor size, lymph vascular space invasion, parametrial invasion, depth of stromal invasion, histological type, and histological grade are reported to be independent prognostic factors for the risk of nodal metastases. Furthermore, biomarkers can contribute to predict a patient's nodal status, of which the squamous cell carcinoma antigen (SCC-Ag) is currently the most widely used in squamous cell cervical cancer. Still, pre-treatment lymph node assessment is primarily performed by imaging, of which diffusion-weighted magnetic resonance imaging has the highest sensitivity and 2-deoxy-2-[18F]fluoro-D-glucose positron emission computed tomography the highest specificity. Imaging results can be combined with clinical parameters in nomograms to increase the accuracy of predicting positives nodes. Despite all the progress regarding pre-treatment prediction of lymph node metastases in cervical cancer in recent years, prediction rates are not robust enough to safely abandon surgical staging of the pelvic or para-aortic region yet.
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Affiliation(s)
- Ester P Olthof
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Godebaldkwartier 419, 3511 DT, Utrecht, The Netherlands.
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Postbus 19079, 3501 DB, Utrecht, The Netherlands.
| | - Maaike A van der Aa
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Godebaldkwartier 419, 3511 DT, Utrecht, The Netherlands
| | - Judit A Adam
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Lukas J A Stalpers
- Department of Radiation Oncology, Amsterdam University Medical Centre, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Hans H B Wenzel
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Godebaldkwartier 419, 3511 DT, Utrecht, The Netherlands
| | - Jacobus van der Velden
- Department of Gynaecological Oncology, Amsterdam University Medical Centre, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Constantijne H Mom
- Department of Gynaecological Oncology, Amsterdam University Medical Centre, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
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Feasibility of T 2WI-MRI-based radiomics nomogram for predicting normal-sized pelvic lymph node metastasis in cervical cancer patients. Eur Radiol 2021; 31:6938-6948. [PMID: 33585992 DOI: 10.1007/s00330-021-07735-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 12/22/2020] [Accepted: 02/01/2021] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To investigate the feasibility of T2WI-based radiomics nomogram analysis to non-invasively predict normal-sized pelvic lymph node (LN) metastasis (LNM) in cervical cancer patients. METHODS Preoperative images of 219 normal-sized pathologically confirmed LNs from 132 cervical cancer patients admitted to our hospital between January 2013 and March 2020 were retrospectively reviewed. Regions of interests (ROIs) were separately delineated on whole LNs and tumors. The maximum-relevance and minimum-redundancy (mRMR) and least absolute shrinkage and selection operator (LASSO) methods were used for the construction of radiomics signature. Logistic regression modeling was employed to build models based on clinical features on LN T2WI (model 1), model 1 combined with LN radiomics features (model 2), and model 2 combined with tumor score (model 3). Diagnostic performance was assessed and compared. RESULTS Both model 2 and model 3 showed higher diagnostic accuracy (training: model 2 0.75, model 3 0.78, model 1 0.72; validation: model 2 0.77, model 3 0.69, model 1 0.66) and AUC (training: model 2 0.77, model 3 0.82, model 1 0.74; validation: model 2 0.75, model 3 0.74, model 1 0.70) than clinical model 1. Diagnostic performance of model 3 was improved compared with model 2 in primary cohort, but reduced in validation cohort. However, the differences did not show obvious statistical difference (p = 0.05 and p = 0.15). CONCLUSIONS T2WI-based radiomics nomogram incorporating the LN radiomics signature with the clinical morphological LN features is promising for predicting the normal-sized pelvic LNM in cervical cancer patients. The original tumor radiomics analysis did not significantly improve the differential diagnosis of LNM. KEY POINTS • The combination of LN radiomics signature with LN clinical morphological features on T2WI could discriminate LNM relatively well. • The tumor radiomics analysis did not significantly improve the differential diagnosis of LNM.
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Steiner A, Narva S, Rinta-Kiikka I, Hietanen S, Hynninen J, Virtanen J. Diagnostic efficiency of whole-body 18F-FDG PET/MRI, MRI alone, and SUV and ADC values in staging of primary uterine cervical cancer. Cancer Imaging 2021; 21:16. [PMID: 33482909 PMCID: PMC7821517 DOI: 10.1186/s40644-020-00372-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 12/11/2020] [Indexed: 11/10/2022] Open
Abstract
Background The use of PET/MRI for gynecological cancers is emerging. The purpose of this study was to assess the additional diagnostic value of PET over MRI alone in local and whole-body staging of cervical cancer, and to evaluate the benefit of standardized uptake value (SUV) and apparent diffusion coefficient (ADC) in staging. Methods Patients with histopathologically-proven cervical cancer and whole-body 18F-FDG PET/MRI obtained before definitive treatment were retrospectively registered. Local tumor spread, nodal involvement, and distant metastases were evaluated using PET/MRI or MRI dataset alone. Histopathology or clinical consensus with follow-up imaging were used as reference standard. Tumor SUVmax and ADC were measured and SUVmax/ADC ratio calculated. Area under the curve (AUC) was determined to predict diagnostic performance and Mann-Whitney U test was applied for group comparisons. Results In total, 33 patients who underwent surgery (n = 23) or first-line chemoradiation (n = 10) were included. PET/MRI resulted in higher AUC compared with MRI alone in detecting parametrial (0.89 versus 0.73), vaginal (0.85 versus 0.74), and deep cervical stromal invasion (0.96 versus 0.74), respectively. PET/MRI had higher diagnostic confidence than MRI in identifying patients with radical cone biopsy and no residual at hysterectomy (sensitivity 89% versus 44%). PET/MRI and MRI showed equal AUC for pelvic nodal staging (both 0.73), whereas AUC for distant metastases was higher using PET/MRI (0.80 versus 0.67). Tumor SUVmax/ADC ratio, but not SUVmax or ADC alone, was significantly higher in the presence of metastatic pelvic lymph nodes (P < 0.05). Conclusions PET/MRI shows higher accuracy than MRI alone for determining local tumor spread and distant metastasis emphasizing the added value of PET over MRI alone in staging of cervical cancer. Tumor SUVmax/ADC ratio may predict pelvic nodal involvement. Supplementary Information The online version contains supplementary material available at 10.1186/s40644-020-00372-5.
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Affiliation(s)
- Aida Steiner
- Department of Radiology, Turku University Hospital and University of Turku, PO Box 52, 20521, Turku, Finland. .,Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA.
| | - Sara Narva
- Department of Obstetrics and Gynecology, Turku University Hospital, PO Box 52, 20521, Turku, Finland
| | - Irina Rinta-Kiikka
- Department of Radiology, Tampere University Hospital, PO Box 2000, 33521, Tampere, Finland
| | - Sakari Hietanen
- Department of Obstetrics and Gynecology, Turku University Hospital, PO Box 52, 20521, Turku, Finland
| | - Johanna Hynninen
- Department of Obstetrics and Gynecology, Turku University Hospital, PO Box 52, 20521, Turku, Finland
| | - Johanna Virtanen
- Department of Radiology, Turku University Hospital and University of Turku, PO Box 52, 20521, Turku, Finland
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The role of 18F-FDG PET/CT in endometrial adenocarcinoma: a review of the literature and recent advances. Clin Transl Imaging 2020. [DOI: 10.1007/s40336-020-00385-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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