Magnetic resonance imaging in cervical cancer interventional radiotherapy (brachytherapy): 
a pictorial essay focused on radiologist management

Russo, Leila; Lancellotta, Valentina; Miccò, Maura; Fionda, Bruno; Avesani, Giacomo; Rovirosa, Á.; Wojcieszek, Piotr; Scambia, Giovanni; Manfredi, Riccardo; Tagliaferri, Luca; Gui, Benedetta

doi:10.5114/jcb.2022.117727

Cited by 7 publications

(2 citation statements)

References 39 publications

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“…The use of DWI can help differentiate the two, as only tumours should demonstrate restricted diffusion [50]. More recently, the application of MRI-guided brachytherapy has been shown to deliver more accurate dosing, which can be individually tailored to the tumour volume, thereby improving overall morbidity [51][52][53].…”

Section: Impact Of Mri Findings On Treatment Selectionmentioning

confidence: 99%

An Update on the Role of MRI in Treatment Stratification of Patients with Cervical Cancer

Shakur,

Lee,

Freeman

2023

Cancers

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Cervical cancer is the fourth most common cancer in women worldwide and the most common gynaecological malignancy. The FIGO staging system is the most commonly utilised classification system for cervical cancer worldwide. Prior to the most recent update in the FIGO staging in 2018, the staging was dependent upon clinical assessment alone. Concordance between the surgical and clinical FIGO staging decreases rapidly as the tumour becomes more advanced. MRI now plays a central role in patients diagnosed with cervical cancer and enables accurate staging, which is essential to determining the most appropriate treatment. MRI is the best imaging option for the assessment of tumour size, location, and parametrial and sidewall invasion. Notably, the presence of parametrial invasion precludes surgical options, and the patient will be triaged to chemoradiotherapy. As imaging is intrinsic to the new 2018 FIGO staging system, nodal metastases have been included within the classification as stage IIIC disease. The presence of lymph node metastases within the pelvis or abdomen is associated with a poorer prognosis, which previously could not be included in the staging classification as these could not be reliably detected on clinical examination. MRI findings corresponding to the 2018 revised FIGO staging of cervical cancers and their impact on treatment selection will be described.

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Section: Impact Of Mri Findings On Treatment Selectionmentioning

confidence: 99%

An Update on the Role of MRI in Treatment Stratification of Patients with Cervical Cancer

Shakur,

Lee,

Freeman

2023

Cancers

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show abstract

“…According to FIGO 2018 for cervical cancer, regardless of tumor size or parametrial infiltration, the presence of LNM is categorized as stage IIIC ( 1 ). Locally advanced cervical cancer, including stage IB3-IVA, is typically treated with platinum-based chemotherapy combined with external beam radiotherapy followed by brachytherapy without surgery ( 5 , 6 ). This classification highlights the significance of LNM in determining disease progression and guiding treatment strategies for cervical cancer patients.…”

Section: Introductionmentioning

confidence: 99%

18F-FDG PET/CT semi-quantitative parameters combined with SCC-Ag in predicting lymph node metastasis in stage I-II cervical cancer

Jiang,

Zheng,

Zhang

et al. 2024

Front. Oncol.

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ObjectiveTo 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 MethodsA 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.ResultsThere 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.Conclusion18F-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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Application of three-dimensional multi-imaging combination in brachytherapy of cervical cancer

Zhang

Cheng

2023

Radiol med

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Magnetic resonance imaging in cervical cancer interventional radiotherapy (brachytherapy): a pictorial essay focused on radiologist management

Cited by 7 publications

References 39 publications

An Update on the Role of MRI in Treatment Stratification of Patients with Cervical Cancer

An Update on the Role of MRI in Treatment Stratification of Patients with Cervical Cancer

18F-FDG PET/CT semi-quantitative parameters combined with SCC-Ag in predicting lymph node metastasis in stage I-II cervical cancer

Application of three-dimensional multi-imaging combination in brachytherapy of cervical cancer

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