| Literature DB >> 31359169 |
Ingfrid S Haldorsen1,2, Njål Lura3, Jan Blaakær4, Daniela Fischerova5, Henrica M J Werner6,7.
Abstract
PURPOSE OF REVIEW: For uterine cervical cancer, the recently revised International Federation of Gynecology and Obstetrics (FIGO) staging system (2018) incorporates imaging and pathology assessments in its staging. In this review we summarize the reported staging performances of conventional and novel imaging methods and provide an overview of promising novel imaging methods relevant for cervical cancer patient care. RECENTEntities:
Keywords: Cervical cancer; Diffusion-weighted imaging; Imaging biomarkers; Magnetic resonance imaging; Positron emission tomography; Transvaginal ultrasound
Year: 2019 PMID: 31359169 PMCID: PMC6663927 DOI: 10.1007/s11912-019-0824-0
Source DB: PubMed Journal: Curr Oncol Rep ISSN: 1523-3790 Impact factor: 5.075
Reported diagnostic performance of pelvic imaging methods and diagnostic pelvic examinations for the assessment of large tumor size (> 4 cm), deep stromal invasion (> 2/3 of the stroma), parametrial invasion, and metastatic lymph nodes in cervical cancer
| Imaging method/diagnostic examinations | Tumor size > 4 cm | Deep (> 2/3) stromal invasion | Parametrial invasion | Lymph node metastasis | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sens. (%) | Spec. (%) | Acc. (%) | Sens. (%) | Spec. (%) | Acc. (%) | Sens. (%) | Spec. (%) | Acc. (%) | Sens. (%) | Spec. (%) | Acc. (%) | |
| TRUS/TVUS [ | 78 | 99 | 95 | 88–91 | 93–97 | 91–93 | 60–83 | 89–100 | 87–99 | 43 | 96 | NR |
| CT [ | NR | NR | NR | NR | NR | NR | 14–55 | 77–100 | 74–82 | 31–58 | 92–97 | NR |
| Conventional MRI [ | 81 | 95 | 93 | 89 | 88 | 88 | 40–90 | 77–98 | 65–97 | 37–71 | 83–93 | 77 |
| DWI [ | NR | NR | NR | NR | NR | NR | 81–92 | 78–99 | 79–98 | 86 | 84 | NR |
| MRI with USPIO [ | NR | NR | NR | NR | NR | NR | NR | NR | NR | 91–100 | 87–94 | 88–95 |
| FDG PET-CT [ | NR | NR | NR | NR | NR | NR | NR | NR | NR | 34–82 | 93–100 | NR |
| FDG PET-MRI [ | NR | NR | NR | NR | NR | NR | 90 | 94 | NR | 83–91 | 90–94 | 87 |
| Sentinel node biopsy [ | NR | NR | NR | NR | NR | NR | NR | NR | NR | 91 | 100 | NR |
| Clinical examination [ | NR | NR | NR | NR | NR | NR | 52 | 92 | 84 | NR | NR | NR |
Acc. accuracy, CE contrast enhanced, CT computed tomography, DWI diffusion weighted imaging, FDG fluorodeoxyglucose, MRI magnetic resonance imaging, NR not reported, PET positron emission tomography, Sens. sensitivity, Spec. specificity, TRUS transrectal ultrasound, TVUS transvaginal ultrasound, USPIO ultrasmall particles of iron oxide
Fig. 1Bulky cervical cancer depicted by grayscale TRS (a), color Doppler TRS (b), and sagittal T2-weigthed MRI (c) in a 26-year-old patient with squamous cell carcinoma, clinical FIGO stage 1B2. The cervical cancer lesion (white arrows) appears hypoechoic on TRS (a) and with high perfusion on color Doppler (b). The same tumor is hyperintense on T2-weighted MRI (c). After surgical removal macroscopic transversal section (d) shows tumor infiltrating the anterior lip of the cervix (white arrows), while the endocervical canal (yellow line) and posterior labium is intact (yellow tip showing external cervical os). Axial contrast-enhanced CT (e) depicting a slightly hypodense cervical lesion (arrows) relative to the surrounding stroma in a 54-year-old patient with squamous cell carcinoma, clinical FIGO stage 1B1. Sagittal (f) and paraaxial (g) T2-weighted MRI depicting a hyperintense cervical lesion (arrows) in a 41-year-old woman with squamous cell carcinoma, clinical FIGO stage 1B1 cervical cancer (same patient as in Fig. 2 and Fig. 3a, b). The incidentally detected hyperintense lesion in the uterine cavity (f, black arrow) was diagnosed as a benign endometrial polyp
Fig. 2Paraaxial T1-weigthed MRI prior to contrast (a), at 30 s postcontrast (b) and 2 min postcontrast (c) and DWI (e, b = 1000 s/mm2) with corresponding ADC map (f) depicting a cervical lesion (arrows) in a 41-year-old woman diagnosed with squamous cell carcinoma, clinical FIGO stage 1B1 cervical cancer (same patient as in Figs. 1f, g and 3a, b). The cervical cancer tissue (arrows; red ROIs in a–c) is isointense relative to the normal stromal tissue (green ROIs in a–c) on T1-weighted MRI prior to contrast (a), hyperintense at 30 s postcontrast (b), and slightly hypointense at 2 min postcontrast (c). The corresponding time-intensity curves of cervical cancer tissue and normal stromal tissue are depicted in d. The tumor tissue also exhibits restricted diffusion with hyperintensity on high b-value DWI (e) and hypointensity on the corresponding ADC map (f). Due to MRI findings suggesting left parametrial invasion with disrupted stromal ring to the left (best seen in c and Fig. 1g), this patient was subjected to primary brachytherapy followed by chemotherapy (cisplatin). The patient had no signs of recurrence at 2.5 years posttreatment
Fig. 3FDG PET-CT in a 41-year-old woman with squamous cell carcinoma, clinical FIGO stage 1B1 cervical cancer (a, b; same patient as in Fig. 1f, g and Fig. 2), and a 70-year-old woman with squamous cell carcinoma, clinical FIGO stage 3B cervical cancer (c, d). The primary cervical cancer lesions are typically highly FDG-avid (white arrows). The slightly FDG avid lesion (black arrow) in the uterine cavity depicted in a and b (also seen in Fig. 1f) was verified as a benign endometrial polyp. The highly FDG-avid tumor mass close to the left pelvic side wall (open white arrows; c and d) represents a metastatic iliac lymph node
Potential imaging biomarkers in cervical cancer
| Imaging modality and/or parameter (i.e., imaging biomarker) | Imaging characteristics of primary tumor predicting aggressive features/disease | Possible link between imaging biomarker and tumor pathophysiology | Proposed tumor cutoffs for risk stratification |
|---|---|---|---|
| Tumor size all imaging modalities | Large tumor size predicts deep stromal invasion, parametrial involvement, lymph node metastases and poor prognosis [ | Large tumor size is a marker of aggressive disease | Tumor size: > 20.5 mm predicts deep stromal invasion [ |
| TVU | |||
| Echogenicity | Isoechoic and hyperechoic tumors, relative to normal cervical stroma, are more common in adenocarcinomas while hypoechoic tumors are often found in squamous cell carcinomas [ | ||
| Doppler parameters | Abundant vascularization is associated with aggressive disease and poor treatment response [ | Increased vascularization is marker of aggressive disease. Tumor hypoxia predicts resistance to therapy. | PI < 0.82 predicts high-risk disease [ |
| MRI | |||
| ADC-value (based on DW MRI) | Low tumor ADC and low ADCmin predict squamous cell subtype, high grade, PMI and recurrence/metastases/poor survival [ Textural tumor ADC features predict histologic grade and nodal metastases [ | Increased cellularity and intratumor heterogeneity of water movement predict aggressive phenotype | ADC < 0.9 for PMI [ ADC < 0.85 and ADCmin ≤ 0.61 for poor prognosis [ |
| Blood flow (based on DCE-MRI) | Pretreatment tumor DCE-MRI markers reflecting reduced blood flow/contrast enhancement predict poor treatment response and survival [ | Tumor hypoxia is linked to therapy resistance and aggressive disease | LETV > 0.6 cm3 predicts poor outcome [ |
| FDG PET-CT | High values of SUVmax, SUVmean, MTV, and TLG in tumor and/or in lymph nodes predict advanced disease and recurrence [ | Increased tumor metabolism is linked to advanced disease and aggressive phenotype | Tumor SUVmax ≥ 15.6, MTV > 48 mL, and nodal MTV > 10 mL predict poor prognosis [ |
ADC apparent diffusion coefficient (10−3 mm2/s), mean value unless otherwise specified, ADCmin minimum ADC value, AP anteroposterior, CC craniocaudal, DCE dynamic contrast enhanced, DW diffusion weighted, F plasma flow, FDG fluorodeoxyglucose, LACC locally advanced cervical cancer, LETV low-enhancing tumor volume, LNM lymph node metastases, MRI magnetic resonance imaging, MTV metabolic tumor volume, NR not reported, PET positron emission tomography, PI pulsatility index, PMI parametrial invasion, SUV standard uptake value, TFD tumor free distance to serosa, TLG total lesion glycolysis, TV transverse, TVS transvaginal ultrasound, VI vascularization index