Literature DB >> 28004138

Investigation of volumetric apparent diffusion coefficient histogram analysis for assessing complete response and clinical outcomes following pre-operative chemoradiation treatment for rectal carcinoma.

Vijay Chidambaram1, James D Brierley2, Bernard Cummings2, Rajesh Bhayana3, Ravi J Menezes4, Erin D Kennedy5, Richard Kirsch6, Kartik S Jhaveri7,8.   

Abstract

PURPOSE: To investigate the relationship of pre-treatment volumetric apparent diffusion coefficient (ADC) histogram parameters with post-operative histopathologic treatment response and clinical outcomes following pre-operative chemoradiation treatment (CRT) in rectal cancer.
MATERIALS AND METHODS: In a Health Insurance Portability and Accountability Act compliant retrospective study, 78 rectal cancer patients treated with pre-operative CRT and rectal MRI were included. MR imaging analysis was performed using OncoTREAT (software tool). Multiple volumetric ADC histogram parameters (voxel distribution across ADC ranges, kurtosis, and skewness) were assessed. Correlation was made to post-operative pathological complete response, clinical, or radiological evidence of disease progression using the Mann-Whitney test.
RESULTS: Post CRT, 8 patients showed pathologic complete response and 13 patients showed distant disease progression. Pre-treatment mean ADC was 1.2 × 10-3 mm2/s (range 0.3-1.99 × 10-3 mm2/s). Mean kurtosis measured was 0.56 (range -1 to 6; SD 1.36). Mean skewness was 0.3 (range -1 to 2; SD 0.69). Skewness had significant correlation (p value = 0.006) with disease progression. The mean rectal tumor volume was 24cc (range 1cc-134cc). Pre-treatment MRI tumor volume showed significant correlation (p value = 0.013) with pathologic complete response. Mean ADC and percentage voxels distribution against ADC ranges had no significant correlation with treatment response or disease outcomes.
CONCLUSION: Volumetric ADC histogram analysis of pre-CRT rectal cancer MRI appears promising for prediction of post-CRT complete response and disease progression.

Entities:  

Keywords:  Apparent diffusion coefficient (ADC); Chemoradiation treatment (CRT); Diffusion-weighted MRI; Rectal carcinoma

Mesh:

Year:  2017        PMID: 28004138     DOI: 10.1007/s00261-016-1010-6

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  6 in total

Review 1.  Diffusion-weighted imaging in rectal cancer: current applications and future perspectives.

Authors:  Niels W Schurink; Doenja M J Lambregts; Regina G H Beets-Tan
Journal:  Br J Radiol       Date:  2019-03-05       Impact factor: 3.039

2.  Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models.

Authors:  Iram Shahzadi; Alex Zwanenburg; Annika Lattermann; Annett Linge; Christian Baldus; Jan C Peeken; Stephanie E Combs; Markus Diefenhardt; Claus Rödel; Simon Kirste; Anca-Ligia Grosu; Michael Baumann; Mechthild Krause; Esther G C Troost; Steffen Löck
Journal:  Sci Rep       Date:  2022-06-17       Impact factor: 4.996

Review 3.  MRI Evaluation of Complete Response of Locally Advanced Rectal Cancer After Neoadjuvant Therapy: Current Status and Future Trends.

Authors:  Qiaoyu Xu; Yanyan Xu; Hongliang Sun; Tao Jiang; Sheng Xie; Bee Yen Ooi; Yi Ding
Journal:  Cancer Manag Res       Date:  2021-06-01       Impact factor: 3.989

4.  Machine learning-based multiparametric MRI radiomics for predicting poor responders after neoadjuvant chemoradiotherapy in rectal Cancer patients.

Authors:  Jia Wang; Jingjing Chen; Ruizhi Zhou; Yuanxiang Gao; Jie Li
Journal:  BMC Cancer       Date:  2022-04-19       Impact factor: 4.638

5.  Histogram analysis of ADC in rectal cancer: associations with different histopathological findings including expression of EGFR, Hif1-alpha, VEGF, p53, PD1, and KI 67. A preliminary study.

Authors:  Hans Jonas Meyer; Annekathrin Höhn; Alexey Surov
Journal:  Oncotarget       Date:  2018-04-06

6.  The Utility of ADC First-Order Histogram Features for the Prediction of Metachronous Metastases in Rectal Cancer: A Preliminary Study.

Authors:  Bianca Boca Petresc; Cosmin Caraiani; Loredana Popa; Andrei Lebovici; Diana Sorina Feier; Carmen Bodale; Mircea Marian Buruian
Journal:  Biology (Basel)       Date:  2022-03-16
  6 in total

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