Literature DB >> 29613992

Whole-lesion Apparent Diffusion Coefficient First- and Second-Order Texture Features for the Characterization of Rectal Cancer Pathological Factors.

Weifeng Li, Zhuoran Jiang, Yue Guan, Ying Chen, Xiaolin Huang, Song Liu1, Jian He1, Zhengyang Zhou1, Yun Ge.   

Abstract

OBJECTIVE: The objective of this study was to explore the value of whole-volume apparent diffusion coefficient (ADC) features in characterizing pathologic features of rectal cancer.
METHODS: A total of 50 patients who were diagnosed with rectal cancer via biopsy underwent 3-T pretreatment diffusion-weighted imaging. Apparent diffusion coefficient features, including mean, 10th-90th percentile, Entropy and Entropy(H), derived from whole-lesion volumes were compared between pathologic T1-2 and T3 stages, perineural invasion (PNI) present and absent, lymphangiovascular invasion present and absent, and pathological N0 and N+ stage groups.
RESULTS: Entropy and Entropy(H) were significantly lower in rectal cancers at T1-2 stages than T3. The 90th percentile of rectal cancers with PNI was significantly lower than that of those without PNI. All P < 0.05.
CONCLUSIONS: Whole-lesion ADC Entropy and Entropy(H) have potential in evaluating different T stages, and 90th percentile can be helpful for determining PNI presence of rectal cancers.

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Mesh:

Year:  2018        PMID: 29613992     DOI: 10.1097/RCT.0000000000000731

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  5 in total

1.  Prediction of Clinical Pathologic Prognostic Factors for Rectal Adenocarcinoma: Volumetric Texture Analysis Based on Apparent Diffusion Coefficient Maps.

Authors:  Zhihua Lu; Lei Wang; Kaijian Xia; Heng Jiang; Xiaoyan Weng; Jianlong Jiang; Mei Wu
Journal:  J Med Syst       Date:  2019-11-07       Impact factor: 4.460

2.  T staging with functional and radiomics parameters of computed tomography in colorectal cancer patients.

Authors:  Yafang Dou; Yingying Liu; Xiancheng Kong; Shangying Yang
Journal:  Medicine (Baltimore)       Date:  2022-05-27       Impact factor: 1.817

Review 3.  Novel imaging techniques of rectal cancer: what do radiomics and radiogenomics have to offer? A literature review.

Authors:  Natally Horvat; David D B Bates; Iva Petkovska
Journal:  Abdom Radiol (NY)       Date:  2019-11

4.  Prediction of different stages of rectal cancer: Texture analysis based on diffusion-weighted images and apparent diffusion coefficient maps.

Authors:  Jian-Dong Yin; Li-Rong Song; He-Cheng Lu; Xu Zheng
Journal:  World J Gastroenterol       Date:  2020-05-07       Impact factor: 5.742

5.  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
  5 in total

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