Literature DB >> 22531517

Evaluation of diffusion-weighted imaging as a predictive marker for tumor response in patients undergoing chemoradiation for postoperative recurrences of cervical cancer.

Supriya Chopra1, Ashish Verma, Sayan Kundu, Reena Engineer, Seema Medhi, Umesh Mahantshetty, Sudeep Gupta, Shyam K Shrivastava.   

Abstract

PURPOSE: To investigate diffusion-weighted imaging (DWI) as a response biomarker in patients undergoing chemoradiation for postoperative recurrences of cervical cancer.
MATERIALS AND METHODS: From October 2008 to March 2011, 20 patients were included. All underwent T2-weighted (T2W) and DWI before and after chemoradiation. Gross tumor volume (GTV), lateral extent, apparent diffusion coefficient (ADC), and presence of regions of focally restricted diffusion were determined at baseline. Response to chemoradiation was categorized as either partial or complete. Receiver operator characteristics (ROC) curve identified thresholds of GTV and ADC that best predict for partial response. Univariate and multivariate analysis were performed on SPSS version 15.
RESULTS: The median GTV was 24.5 cc (4.1-110 cc). Central and lateral disease was present in 8 and 12 patients, respectively. The median ADC was 1 × 10 -3 mm² /s (0.8-1.3 × 10⁻³ mm² /s) and 12/20 (60%) patients had focal restricted diffusion. Overall 10/20 patients had partial response. ROC analysis identified volume of 25 cc or higher [sensitivity = 80%, specificity = 80%, area under curve (AUC) = 0.76, P = 0.04] and ADC more than 1 × 10⁻³ mm² /s (sensitivity = 70%, specificity = 50%, AUC = 0.62; P = 0.34) to best predict for partial response. On univariate analysis bulky disease (77.7% vs. 27%; P = 0.03), lateral disease (66.6% vs. 25%; P = 0.08), and focal regions of restricted diffusion (66.6% vs. 25%; P = 0.06) predicted for partial response to chemoradiation. All factors continued to be significant on multivariate analysis. On restricting analysis to bulky tumors ADC greater than 0.95 × 10⁻³ mm² /s predicted partial response with high sensitivity (85.7%) and specificity (100%) (AUC 0.96; P = 0.05). On univariate analysis lateral disease (P = 0.04), high baseline ADC (P = 0.07) predicted for partial response.
CONCLUSIONS: Baseline ADC and focal regions of ADC restriction predict for partial response with moderate sensitivity and specificity in patients with postoperative recurrences of cervical cancer and need to be validated in larger cohort.

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Year:  2012        PMID: 22531517     DOI: 10.4103/0973-1482.95177

Source DB:  PubMed          Journal:  J Cancer Res Ther        ISSN: 1998-4138            Impact factor:   1.805


  9 in total

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2.  Role of Functional Magnetic Resonance Imaging Derived Parameters as Imaging Biomarkers and Correlation with Clinicopathological Features in Carcinoma of Uterine Cervix.

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Review 3.  Therapy response with diffusion MRI: an update.

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Journal:  Cancer Imaging       Date:  2012-09-28       Impact factor: 3.909

4.  Development of biomarker panel to predict, prevent and create treatments tailored to the persons with human papillomavirus-induced cervical precancerous lesions.

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Journal:  EPMA J       Date:  2014-01-06       Impact factor: 6.543

Review 5.  The value of advanced MRI techniques in the assessment of cervical cancer: a review.

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6.  Role of apparent diffusion coefficient as a biomarker in the evaluation of cervical cancer.

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Journal:  Indian J Radiol Imaging       Date:  2019 Jan-Mar

7.  Diagnostic significance of diffusion-weighted MRI in patients with cervical cancer: a meta-analysis.

Authors:  Bo Hou; Shi-Feng Xiang; Gen-Dong Yao; Su-Jun Yang; Yu-Fang Wang; Yi-Xin Zhang; Jun-Wei Wang
Journal:  Tumour Biol       Date:  2014-08-29

8.  Time-window of early detection of response to concurrent chemoradiation in cervical cancer by using diffusion-weighted MR imaging: a pilot study.

Authors:  Ying Liu; Haoran Sun; Renju Bai; Zhaoxiang Ye
Journal:  Radiat Oncol       Date:  2015-09-04       Impact factor: 3.481

Review 9.  Gynecological cancers: A summary of published Indian data.

Authors:  Amita Maheshwari; Neha Kumar; Umesh Mahantshetty
Journal:  South Asian J Cancer       Date:  2016 Jul-Sep
  9 in total

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