Aims and objectives
Uterine cervical cancer is the most common gynecologic malignancy and the second most common cancer in women worldwide in terms of incidence and mortality[1,
2]. Cervical carcinoma is staged in accordance with revised Classification of the International Federation of Gynecology and Obstetrics (FIGO) of 2009 Table 1 that recommends performing computed tomography (CT) and/or Magnetic Resonance imaging (MRI),
when available.
The use of imaging is now complimentary to the clinical examination to assess important prognostic factors such as tumor size,
parametrial extension and pelvic side...
Methods and materials
Fourteen patients with newly diagnosed uterine cervical cancer pathologically confirmed underwent pretreatment MRI at our Institute from August 2017 to August 2018.
MRI was performed in each patient using a 1,5 Tesla magnet.
Prior to image acquisition,
an antiperistaltic medication was administered intramuscularly to limit bowel peristalsis and patients were invited to void their bladder to reduce movement and ghosting artifacts on T2WI.
MR images were acquired with patients lying supine using a five channels surface body coil to optimize image quality and reduce acquisition...
Results
The study group comprised 14 patients,with a mean age of 50.04 years (+/-15.7 y/o).
Squamous cell carcinoma was present in 12 patients,
while 1 case was an adenocarcinoma and 1melanocytic tumor.
Eight\14 patients were suitable for radical hysterectomy,
5\14 underwent chemo-radiation therapy and 1\14 was enrolled into another center for surgery,
so that the final study population consisted of 13 cases.
In each patient the presence or absence of PMI was assessed using T2WI and ADC values as predicting tools.
Patients characteristic are summarized in...
Conclusion
The results of our study underlines the performance of MRI as an important diagnostictool to identify patients with PMI in the preoperative assessment of cervical cancer.
The evaluation of PMI based on T2WI helps in accurately stratifying patients with cervical cancer both to determine the most appropriate management (surgery,
chemoradiation therapy,
adjuvant treatment after surgery) and to ensure the best clinical post-treatment outcomes.
The present study also demonstrated that ADC mean values were significantly different in patients with and without PMI and Diffusion weighted imaging...
Personal information
Dr Sghedoni Barbara
Department of Radiology
University of Modena and Reggio Emilia
Azienda Ospedaliera Universitaria Policlinico di Modena
Largo del Pozzo 71 4125 Modena
email:
[email protected]
Dr Fiocchi Federica
Department of Radiology
University of Modena and Reggio Emilia
Azienda Ospedaliera Universitaria Policlinico di Modena
Largo del Pozzo 71 4125 Modena
email:
[email protected]
References
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Aly AM,
Kataoka MY et al.Radiographics 2012; 32(6):1805-27
[2] Evaluation of carcinoma cervix using magnetic resonance imaging: Correlation with clinical FIGO staging and impact on management.
Dhoot NM,
Kumar V,
Shinagare A et al.
J Med Imaging Radiat Oncol.
2012; 56(1):58-65
[3] Staging of uterine cervical cancer with MRI: guideline of the European Society of Urogenital Radiology.
Balleyguier C,
Sala E,
De Cunha T et al.
Eur Radiol.
2011; 21(5):1102-10
[4] Apparent diffusion coefficient for prediction of parametrial invasion in cervical cancer: a...