Abstract 247P
Background
Evaluate Role of ADC values in assessing response to chemoradiotherapy in cervix cancer & contribution of contrast MRI to identify residual disease, post-treatment completion.
Methods
Prospective observational study in 100 patients of histopathologically proven cancer of the uterine cervix. Based on clinical outcome integrating final histopathological diagnosis patients were classified as either complete response or Residual disease. Validity & reliability of PET-CT, Contrast MRI, and ADC values were checked by calculating sensitivity, specificity, PPV & NPV.
Results
Residual lesions have significantly lower ADC value than that of post-treatment changes. Mean ADC values of residual tumors: 1.26±0.238 x 10-3 mm2/s and mean ADC values of lesions due to post-treatment changes: 1.540 ±0.218 x 10-3 mm2/s (statistically significant difference in between malignant and post-treatment lesions p < 0.05). ADC sensitivity 67%, specificity 83%, PPV 35%, NPV 95 % and accuracy 81% in differentiating residual disease from post-treatment changes. PPV, NPV, sensitivity, and specificity with PET-CT was 93%, 89%, 98%, and 73%. PPV, NPV, sensitivity, and specificity of contrast MRI was 16%, 91%, 58%, and 59%.
Conclusions
Diffusion imaging differentiates residual cervix malignancies from post-treatment changes based on ADC values and can be a promising and evocative biomarker. Complimentary use of ADC and PET/CT may increase diagnostic confidence. However, the cost and logistics of MRI imaging is an important factor in routine clinical implementation especially in developing countries like India, where carcinoma cervix is associated with poor socioeconomic status.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Rajiv Gandhi cancer Institute and Research Centre, New Delhi.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
458P - Mutation tracking in circulating tumour DNA predicts relapse in completely resected EGFR-mutated NSCLC
Presenter: Martin Filipits
Session: Poster display session
Resources:
Abstract
460P - Mendelian randomization study showed no causality between metformin use and lung cancer risk
Presenter: Jiayi Shen
Session: Poster display session
Resources:
Abstract
461P - Blood trace minerals and lung cancer: A Mendelian randomization study
Presenter: Wei Xian
Session: Poster display session
Resources:
Abstract
463P - Prediction of invasiveness in lung adenocarcinoma using machine learning algorithm based on 3D-CT imaging
Presenter: Yusuke Saeki
Session: Poster display session
Resources:
Abstract
459P - Fish intake, dietary polyunsaturated fatty acids, and lung cancer: systematic review and dose-response meta-analysis of 1.7 million men and women
Presenter: Chao Cao
Session: Poster display session
Resources:
Abstract
462P - Usefulness for prevention of postoperative cerebrovascular complications in patients with lung cancer using carotid ultrasonography
Presenter: Sadanori Takeo
Session: Poster display session
Resources:
Abstract
468P - Histological type analysis of 10-year follow-up of WJTOG0105: A phase III study comparing second- and third-generation regimens with concurrent thoracic radiotherapy in unresectable stage III non-small cell lung cancer
Presenter: Masahiro Tsuboi
Session: Poster display session
Resources:
Abstract
469P - Comparison of combined chemoradiotherapy regimens; Paclitaxel plus carboplatin and cisplatin plus etoposide for locally advanced non-small cell lung cancer: A randomised phase III trial
Presenter: Alper Ata
Session: Poster display session
Resources:
Abstract
472P - Integration of expression rate and absolute cell counts of PD-1+ stromal tumour-infiltrating lymphocytes: Prognostic significance in esophageal squamous cell carcinoma
Presenter: Qingkun Song
Session: Poster display session
Resources:
Abstract
467P - The free-circulating mtDNA copies number in plasma of patients with NSCLC
Presenter: Olga Bulgakova
Session: Poster display session
Resources:
Abstract