Diagnostic significance of magnetic resonance imaging in patients with cervical cancer after brachytherapy: a meta-analysis

2018 ◽  
Vol 60 (5) ◽  
pp. 670-676
Author(s):  
Ji Zhang ◽  
Weizhong Tian ◽  
Xinhua Bu ◽  
Xiulan Wang ◽  
Fangzheng Tian ◽  
...  

Background Patients with uterine cervical cancer suffer high mortality. Accurate detection of a residual tumor by magnetic resonance imaging (MRI) during and after directed brachytherapy (BCT) is crucial for the success of cancer treatment and is a significant predictor of patient survival. Purpose To determine the diagnostic significance of MRI in detecting residual tumor tissue after BCT. Material and Methods The Web of Knowledge, Cochrane Library, and PubMed were systematically searched (January 1997 to December 2016) for post-brachytherapy MRI studies that measured residual tumors in patients with uterine cervical cancer. All data were analyzed using the Meta-Disc 1.4 program. Results Four clinical studies consisting of 163 patients (147 of whom were included in the present analysis) who were diagnosed with uterine cervical cancer according to the International Federation of Gynecology and Obstetrics (FIGO) staging system were included in the study. All the patients received BCT and underwent MRI detection of residual tumors tissue. In studies where the accuracy of MRI detection was confirmed by histological tests or gynecological tests, the summary estimates of specificity, sensitivity, positive predictive value, negative predictive value, and accuracy were 88.5%, 83.5%, 53.5%, 97.1%, and 84.3%, respectively. Conclusion MRI-directed BCT is commonly used for cervical cancer patients. Based on our investigation of four independent studies, MRI showed better prediction of positive results than negative results in patients with cervical cancer after BCT. However, more data on the greater numbers of patients are needed to establish the accuracy of MRI detection of cervical cancer after BCT.

2019 ◽  
Vol 35 (S1) ◽  
pp. 64-65
Author(s):  
Mar Polo-DeSantos ◽  
Juan Pablo ◽  
Chalco Orrego ◽  
Ana Isabel Hijas-Gómez ◽  
Setefilla Luengo-Matos ◽  
...  

IntroductionAutism is a neurodevelopmental disorder characterized by alterations in the intellectual, social, communication, and behavioral capabilities of an individual, and is rarely detected in children before 24 months of age. Early diagnosis and intervention may be more effective at a younger age. Functional connectivity magnetic resonance imaging (fcMRI) of 6-month old infants may be able to identify brain connection patterns related to at least one of the characteristics of autism, which normally appear at 24 months of age, by using a mathematical model to analyze the neuroimaging data.MethodsClinical studies published up to December 2018 that used fcMRI to detect autism in infants were reviewed. The literature databases searched included PubMed, Web of Science, the Trip Database, DynaMed, the Cochrane Library, the International Clinical Trials Registry Platform, and ClinicalTrials.gov. Early assessments of fcMRI analysis were identified through the Early Awareness and Alert System of the Agencia de Evaluación de Tecnologías Sanitarias.ResultsOnly one prospective study of 59 infants at 6-months of age was retrieved. A fcMRI analysis was performed to identify 2,635 pairs of functional connections from 230 brain regions. The infants were subsequently assessed for autism at 24 months of age using gold standard tests. The functional connections correlated with at least one of the behaviors related to autism evaluated at 24 months of age. Eleven infants (19%) were diagnosed with autism at 24 months. Compared with the gold standard test results, the predictive model achieved the following: sensitivity 0.82 (95% confidence interval [CI]: 0.52 - 0.95); specificity 1.00 (95% CI: 0.93–1.00); positive predictive value 1.00 (95% CI: 0.70–1.00); negative predictive value 0.96 (95% CI: 0.87–0.99); and negative likelihood ratio 0.18 (95% CI: 0.05–0.64). Adverse effects were not reported in the study.ConclusionsThe fcMRI analysis could help in early detection of autism and the development of preventive interventions. However, the evidence is sparse and more well-designed studies are needed.


2013 ◽  
Vol 23 (1) ◽  
pp. 193-198 ◽  
Author(s):  
Suzanne M. Bleker ◽  
Shandra Bipat ◽  
Anje M. Spijkerboer ◽  
Jacobus van der Velden ◽  
Jaap Stoker ◽  
...  

ObjectiveThis study aimed to compare the negative predictive value (NPV) of clinical examination with or without anesthesia and magnetic resonance imaging (MRI) in identifying patients with cervical carcinoma without parametrial infiltration.MethodsThis retrospective cohort study was conducted at the Academic Medical Center in Amsterdam. The medical files of 203 patients diagnosed with cervical cancer stages IB1-IIA, who underwent surgical treatment between January 1, 2003, and January 31, 2011, were reviewed. We compared clinical International Federation of Gynecology and Obstetrics staging and MRI during the staging procedure. The results were compared with the parametrial status by surgical-pathological investigation, which was considered to be the reference standard.ResultsBased on the surgical-pathological findings, 16.7% of the patients treated surgically had parametrial infiltration. For parametrial infiltration, examination under anesthesia (EUA) had an NPV of 65.3% and MRI of 76.9%, respectively. We found no significant difference between these NPVs.ConclusionsExamination under anesthesia and MRI are equal in identifying cervical cancer patients without parametrial infiltration with a tendency for MRI to perform better than EUA. When outpatient clinical staging is considered inconclusive, pretreatment staging may be limited to MRI. In these cases, EUA seems to have no additional value.


2014 ◽  
Vol 24 (4) ◽  
pp. 751-757 ◽  
Author(s):  
Yuki Himoto ◽  
Koji Fujimoto ◽  
Aki Kido ◽  
Noriomi Matsumura ◽  
Tsukasa Baba ◽  
...  

ObjectivesThe purpose of this study was to quantitatively evaluate 3 types of magnetic resonance imaging (MRI) parameters in parallel for the early prediction of neoadjuvant chemotherapy (NACT) effectiveness in cervical cancer—tumor volume parameters, diffusion parameters, and perfusion parameters.Materials and MethodsWe prospectively evaluated 13 patients with International Federation of Gynecology and Obstetrics stage IB to IIB cervical squamous cell carcinoma who underwent 3 serial MRI studies, that is, pretreatment, post–first course NACT, and post–second course NACT followed by radical hysterectomy. We obtained tumor volume parameters, diffusion parameters, and dynamic contrast material–enhanced perfusion parameters quantitatively from pretreatment MRI and post–first course MRI. The correlation of these parameters and the eventual tumor volume regression rate (TVRR) obtained from pretreatment MRI and post–second course MRI before surgery were investigated, statistically based on the Pearson correlation coefficient.ResultsThirteen patients had a total of 39 scans. Early TVRR (r= 0.844;P< 0.001), the fractional volume of the tissue extracellular extravascular space (Ve,r= 0.648;P< 0.05), and the change of Ve during the first course of NACT (r= −0.638;P< 0.05) correlated with eventual TVRR.ConclusionsEarly TVRR, Ve, and the change of Ve could be useful predictors for the treatment effectiveness of NACT. These parameters could help to modify strategy in the early stage of NACT and to choose individualized treatment to avoid the delay of radical treatment, even when NACT is ineffective.


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