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Fruhauf F, Cibula D, Kocian R, Zikan M, Dundr P, Jarkovsky J, Fischerova D. Diagnostic performance of ultrasonography in pre-operative assessment of lymph nodes in patients with cervical cancer. Int J Gynecol Cancer 2024; 34:985-992. [PMID: 38950926 DOI: 10.1136/ijgc-2024-005341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/03/2024] Open
Abstract
OBJECTIVES To assess the diagnostic performance of ultrasonography in pre-operative assessment of lymph nodes in patients with cervical cancer, to compare the outcomes for pelvic and para-aortic regions, and to detect macrometastases and micrometastases separately. METHODS Patients were retrospectively included if they met the following inclusion criteria: pathologically verified cervical cancer; ultrasonography performed by one of four experienced sonographers; surgical lymph node staging, at least in the pelvic region-sentinel lymph node biopsy or systematic pelvic lymphadenectomy or debulking. The final pathological examination was the reference standard. RESULTS 390 patients met the inclusion criteria between 2009 and 2019. Pelvic node macrometastases (≥2 mm) were confirmed in 54 patients (13.8%), and micrometastases (≥0.2 mm and <2 mm) in another 21 patients (5.4%). Ultrasonography had sensitivity 72.2%, specificity 94.0%, and area under the curve (AUC) 0.831 to detect pelvic macrometastases, while sensitivity 53.3%, specificity 94.0%, and AUC 0.737 to detect both pelvic macrometastases and micrometastases (pN1). Ultrasonography failed to detect pelvic micrometastases, with sensitivity 19.2%, specificity 85.2%, and AUC 0.522. There was no significant impact of body mass index on diagnostic accuracy. Metastases in para-aortic nodes (macrometastases only) were confirmed in 16 of 71 patients who underwent para-aortic lymphadenectomy. Ultrasonography yielded sensitivity 56.3%, specificity 98.2%, and AUC 0.772 to identify para-aortic node macrometastases. CONCLUSION Ultrasonography performed by an experienced sonographer can be considered a sufficient diagnostic tool for pre-operative assessment of lymph nodes in patients with cervical cancer, showing similar diagnostic accuracy in detection of pelvic macrometastases as reported for other imaging methods (18F-fluorodeoxyglucose positron emission tomography/CT or diffusion-weighted imaging/MRI). It had low sensitivity for detection of small-volume macrometastases (largest diameter <5 mm) and micrometastases. The accuracy of para-aortic assessment was comparable to that for pelvic lymph nodes, and assessment of the para-aortic region should be an inseparable part of the examination protocol.
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Affiliation(s)
- Filip Fruhauf
- Department of Gynaecology, Obstetrics, and Neonatology, Gynaecologic Oncology Center, General University Hospital and 1st Faculty of Charles University, Prague, Czech Republic
| | - David Cibula
- Department of Gynaecology, Obstetrics, and Neonatology, Gynaecologic Oncology Center, General University Hospital and 1st Faculty of Charles University, Prague, Czech Republic
| | - Roman Kocian
- Department of Gynaecology, Obstetrics, and Neonatology, Gynaecologic Oncology Center, General University Hospital and 1st Faculty of Charles University, Prague, Czech Republic
| | - Michal Zikan
- Department of Gynaecology and Obstetrics, Bulovka University Hospital and 1st Faculty of Charles University, Prague, Czech Republic
| | - Pavel Dundr
- Institute of Pathology, General University Hospital and 1st Faculty of Charles University, Prague, Czech Republic
| | - Jiri Jarkovsky
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Daniela Fischerova
- Department of Gynaecology, Obstetrics, and Neonatology, Gynaecologic Oncology Center, General University Hospital and 1st Faculty of Charles University, Prague, Czech Republic
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Lucia F, Bourbonne V, Pleyers C, Dupré PF, Miranda O, Visvikis D, Pradier O, Abgral R, Mervoyer A, Classe JM, Rousseau C, Vos W, Hermesse J, Gennigens C, De Cuypere M, Kridelka F, Schick U, Hatt M, Hustinx R, Lovinfosse P. Multicentric development and evaluation of 18F-FDG PET/CT and MRI radiomics models to predict para-aortic lymph node involvement in locally advanced cervical cancer. Eur J Nucl Med Mol Imaging 2023; 50:2514-2528. [PMID: 36892667 DOI: 10.1007/s00259-023-06180-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 02/27/2023] [Indexed: 03/10/2023]
Abstract
PURPOSE To develop machine learning models to predict para-aortic lymph node (PALN) involvement in patients with locally advanced cervical cancer (LACC) before chemoradiotherapy (CRT) using 18F-FDG PET/CT and MRI radiomics combined with clinical parameters. METHODS We retrospectively collected 178 patients (60% for training and 40% for testing) in 2 centers and 61 patients corresponding to 2 further external testing cohorts with LACC between 2010 to 2022 and who had undergone pretreatment analog or digital 18F-FDG PET/CT, pelvic MRI and surgical PALN staging. Only primary tumor volumes were delineated. Radiomics features were extracted using the Radiomics toolbox®. The ComBat harmonization method was applied to reduce the batch effect between centers. Different prediction models were trained using a neural network approach with either clinical, radiomics or combined models. They were then evaluated on the testing and external validation sets and compared. RESULTS In the training set (n = 102), the clinical model achieved a good prediction of the risk of PALN involvement with a C-statistic of 0.80 (95% CI 0.71, 0.87). However, it performed in the testing (n = 76) and external testing sets (n = 30 and n = 31) with C-statistics of only 0.57 to 0.67 (95% CI 0.36, 0.83). The ComBat-radiomic (GLDZM_HISDE_PET_FBN64 and Shape_maxDiameter2D3_PET_FBW0.25) and ComBat-combined (FIGO 2018 and same radiomics features) models achieved very high predictive ability in the training set and both models kept the same performance in the testing sets, with C-statistics from 0.88 to 0.96 (95% CI 0.76, 1.00) and 0.85 to 0.92 (95% CI 0.75, 0.99), respectively. CONCLUSIONS Radiomic features extracted from pre-CRT analog and digital 18F-FDG PET/CT outperform clinical parameters in the decision to perform a para-aortic node staging or an extended field irradiation to PALN. Prospective validation of our models should now be carried out.
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Affiliation(s)
- François Lucia
- Radiation Oncology Department, University Hospital, Brest, France.
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France.
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium.
| | - Vincent Bourbonne
- Radiation Oncology Department, University Hospital, Brest, France
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
| | - Clémence Pleyers
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | | | - Omar Miranda
- Radiation Oncology Department, University Hospital, Brest, France
| | | | - Olivier Pradier
- Radiation Oncology Department, University Hospital, Brest, France
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
| | - Ronan Abgral
- Nuclear Medicine Department, University Hospital, Brest, France
- EA GETBO 3878, IFR 148, University of Brest, UBO, Brest, France
| | - Augustin Mervoyer
- Department of Radiation Oncology, Institut de Cancérologie de l'Ouest Centre René Gauducheau, Saint Herblain, France
| | - Jean-Marc Classe
- Department of Surgical Oncology, Institut de Cancérologie de l'Ouest Centre René Gauducheau, Saint Herblain, France
| | - Caroline Rousseau
- Université de Nantes, CNRS, Inserm, CRCINA, F-44000, Nantes, France
- ICO René Gauducheau, F-44800, Saint-Herblain, France
| | - Wim Vos
- Radiomics SA, Liège, Belgium
| | - Johanne Hermesse
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | - Christine Gennigens
- Department of Medical Oncology, University Hospital of Liège, Liège, Belgium
| | | | - Frédéric Kridelka
- Department of Gynecology, University Hospital of Liège, Liège, Belgium
| | - Ulrike Schick
- Radiation Oncology Department, University Hospital, Brest, France
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
| | - Mathieu Hatt
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
| | - Roland Hustinx
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
| | - Pierre Lovinfosse
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
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Nasioudis D, George EM, Tanyi JL. Controversies in the Staging of Patients with Locally Advanced Cervical Cancer. Diagnostics (Basel) 2023; 13:diagnostics13101747. [PMID: 37238231 DOI: 10.3390/diagnostics13101747] [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: 03/01/2023] [Revised: 04/24/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
Approximately 10-25% of patients with locally advanced cervical cancer harbor metastases to the para-aortic lymph nodes. Staging of patients with locally advanced cervical cancer can be performed with imaging techniques, such as PET-CT; however, false negative rates can be as high as 20%, especially for patients with pelvic lymph node metastases. Surgical staging can identify patients with microscopic lymph nodes metastases and aid in accurate treatment planning with the administration of extended-field radiation therapy. Data from retrospective studies investigating the impact of para-aortic lymphadenectomy on the oncological outcomes of patients with locally advanced cervical cancer are mixed, while data from randomized controlled trials do not demonstrate a progression-free survival benefit. In the present review, we explore controversies in the staging of patients with locally advanced cervical cancer and summarize the available literature.
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Affiliation(s)
- Dimitrios Nasioudis
- Division of Gynecologic Oncology, University of Pennsylvania, Philadephia, PA 19104, USA
| | - Erin M George
- Division of Gynecologic Oncology, University of Pennsylvania, Philadephia, PA 19104, USA
| | - Janos L Tanyi
- Division of Gynecologic Oncology, University of Pennsylvania, Philadephia, PA 19104, USA
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Martinez A, Díaz-Feijoo B, Querleu D. Para-aortic lymphadenectomy in cervical cancer deserves a new trial. Int J Gynecol Cancer 2022; 32:ijgc-2022-003910. [PMID: 36113871 DOI: 10.1136/ijgc-2022-003910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Affiliation(s)
- Alejandra Martinez
- Surgical Oncology, Institut Universitaire du Cancer Toulouse Oncopole, Institut Claudius Regaud, Toulouse, France
- Centre de Recherches en Cancérologie de Toulouse, INSERM UMR 1037, Toulouse, France
| | - Berta Díaz-Feijoo
- Gynecologic Oncology, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Denis Querleu
- Gynecologic Oncology, University Hospital Agostino Gemelli IRCCS, Rome, Lazio, Italy
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Pareja R, Nasioudis D. Response to: Correspondence on "Oncologic outcomes of surgical para-aortic lymph node staging in patients with advanced cervical carcinoma undergoing chemoradiation" by Gorostidi. Int J Gynecol Cancer 2022; 32:ijgc-2022-003863. [PMID: 35926889 DOI: 10.1136/ijgc-2022-003863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Affiliation(s)
- Rene Pareja
- Gynecology, Gynecologic Oncology, Clinica ASTORGA, Medellin, and Instituto Nacional de Cancerología, Bogotá, Medellin, Colombia
| | - Dimitrios Nasioudis
- Obstetrics and Gynecology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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