Pelvic insufficiency fracture or bone metastasis after radiotherapy for cervical cancer? The added value of DWI for characterization

Abstract Background The use of PET/MRI for gynecological cancers is emerging. The purpose of this study was to assess the additional diagnostic value of PET over MRI alone in local and whole-body staging of cervical cancer, and to evaluate the benefit of standardized uptake value (SUV) and apparent diffusion coefficient (ADC) in staging. Methods Patients with histopathologically-proven cervical cancer and whole-body 18F-FDG PET/MRI obtained before definitive treatment were retrospectively registered. Local tumor spread, nodal involvement, and distant metastases were evaluated using PET/MRI or MRI dataset alone. Histopathology or clinical consensus with follow-up imaging were used as reference standard. Tumor SUVmax and ADC were measured and SUVmax/ADC ratio calculated. Area under the curve (AUC) was determined to predict diagnostic performance and Mann-Whitney U test was applied for group comparisons. Results In total, 33 patients who underwent surgery (n = 23) or first-line chemoradiation (n = 10) were included. PET/MRI resulted in higher AUC compared with MRI alone in detecting parametrial (0.89 versus 0.73), vaginal (0.85 versus 0.74), and deep cervical stromal invasion (0.96 versus 0.74), respectively. PET/MRI had higher diagnostic confidence than MRI in identifying patients with radical cone biopsy and no residual at hysterectomy (sensitivity 89% versus 44%). PET/MRI and MRI showed equal AUC for pelvic nodal staging (both 0.73), whereas AUC for distant metastases was higher using PET/MRI (0.80 versus 0.67). Tumor SUVmax/ADC ratio, but not SUVmax or ADC alone, was significantly higher in the presence of metastatic pelvic lymph nodes (P < 0.05). Conclusions PET/MRI shows higher accuracy than MRI alone for determining local tumor spread and distant metastasis emphasizing the added value of PET over MRI alone in staging of cervical cancer. Tumor SUVmax/ADC ratio may predict pelvic nodal involvement.

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Added value of diffusion weighted mri to conventional mri in the assessment of uterine cervix cancer post therapy

QJM ◽

10.1093/qjmed/hcaa068.018 ◽

2020 ◽

Vol 113 (Supplement_1) ◽

Author(s):

A M Nasr ◽

O A Kamal ◽

O F Kamel ◽

S A N Hashim

Keyword(s):

Cervical Cancer ◽

Diffusion Weighted Imaging ◽

Tumor Resection ◽

Post Treatment ◽

Added Value ◽

Diffusion Weighted Mri ◽

Conventional Mri ◽

Diffusion Weighted ◽

Adc Mapping ◽

Post Therapy

Abstract Purpose of this study is: Assessing the role of Diffusion weighted imaging with ADC mapping in the evaluation of uterine cervical cancer post therapy regarding tumor residual, recurrence or post treatment benign changes/ complications after tumor resection and/or chemotherapy/radiotherapy. Methods The study included 48 female underwent cervical cancer treatment, referred to Radio diagnosis Department of National Cancer Institute for post therapy assessment. Each patient included in the study was subjected to full history taking, reviewing medical sheet and MR examination including: Conventional MR examination and Diffusion Weighted imaging. Results The study showed that the use of quantitative DW imaging with ADC mapping provide added value in the detection of post-treatment malignant masses and differentiating it from post-treatment benign changes. Conclusion The current application of diffusion Weighted MRI as a routine with conventional MRI sequences increased the accuracy of detection of post therapy benign and malignant masses , Our results suggested also that the use of ADC can be helpful in differentiating post-treatment malignant masses from benign post-treatment changes.

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Radiation-induced occult insufficiency fracture or bone metastasis after radiotherapy for cervical cancer? The nomogram based on quantitative apparent diffusion coefficients for discrimination

Cancer Imaging ◽

10.1186/s40644-020-00353-8 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Xi Zhong ◽

Huali Jiang ◽

Hui Mai ◽

Jialin Xiang ◽

Jiansheng Li ◽

...

Keyword(s):

Cervical Cancer ◽

Bone Marrow ◽

Bone Metastasis ◽

Bone Metastases ◽

Predictive Value ◽

Bone Lesions ◽

Potential Value ◽

Apparent Diffusion ◽

Adc Values ◽

Radiation Induced

Abstract Background Radiation-induced insufficiency fractures (IF) is frequently occult without fracture line, which may be mistaken as metastasis. Quantitative apparent diffusion coefficient (ADC) shows potential value for characterization of benign and malignant bone marrow diseases. The purpose of this study was to develop a nomogram based on multi-parametric ADCs in the differntiation of occult IF from bone metastasis after radiotherapy (RT) for cervical cancer. Methods This study included forty-seven patients with cervical cancer that showed emerging new bone lesions in RT field during the follow-up. Multi-parametric quantitative ADC values were measured for each lesion by manually setting region of interests (ROIs) on ADC maps, and the ROIs were copied to adjacent normal muscle and bone marrow. Six parameters were calculated, including ADCmean, ADCmin, ADCmax, ADCstd, ADCmean ratio (lesion/normal bone) and ADCmean ratio (lesion/muscle). For univariate analysis, receiver operating characteristic curve (ROC) analysis was performed to assess the performance. For combined diagnosis, a nomogram model was developed by using a multivariate logistic regression analysis. Results A total of 75 bone lesions were identified, including 48 occult IFs and 27 bone metastases. There were significant differences in the six ADC parameters between occult IFs and bone metastases (p < 0.05), the ADC ratio (lesion/ muscle) showed an optimal diagnostic efficacy, with an area under ROC (AUC) of 0.887, the sensitivity of 95.8%, the specificity of 81.5%, respectively. Regarding combined diagnosis, ADCstd and ADCmean ratio (lesion/muscle) were identified as independent factors and were selected to generate a nomogram model. The nomogram model showed a better performance, yielded an AUC of 0.92, the sensitivity of 91.7%, the specificity of 96.3%, positive predictive value (PPV) of 97.8% and negative predictive value (NPV) of 86.7%, respectively. Conclusions Multi-parametric ADC values demonstrate potential value for differentiating occult IFs from bone metastasis, a nomogram based on the combination of ADCstd and ADCmean ratio (lesion/muscle) may provide an improved classification performance.

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