Literature DB >> 34958406

T2*-weighted imaging and diffusion kurtosis imaging (DKI) of rectal cancer: correlation with clinical histopathologic prognostic factors.

Shan Hu1,2, Yang Peng3, Qiushi Wang1, Bin Liu1, Ihab Kamel4, Zaiyi Liu1, Changhong Liang5,6.   

Abstract

PURPOSE: Histopathologic prognostic factors of rectal cancer are closely associated with local recurrence and distant metastasis. We aim to investigate the feasibility of T2*WI in assessment of clinical prognostic factors of rectal cancer, and compare with DKI.
METHODS: This retrospective study enrolled 50 out of 205 patients with rectal cancer according to the inclusion criteria. The following parameters were obtained: R2* from T2*WI, mean diffusivity (MDk), mean kurtosis (MK), and mean diffusivity (MDt) from DKI using tensor method. Above parameters were compared by Mann-Whitney U-test or students' t test. Spearman correlations between different parameters and histopathological prognostic factors were determined. The diagnostic performances of R2* and DKI-derived parameters were analyzed by receiver operating characteristic curves (ROC), separately and jointly.
RESULTS: There were positive correlations between R2* and multiple prognostic factors of rectal cancer such as T category, N category, tumor grade, CEA level, and LVI (P < 0.004). MDk and MDt showed negative correlations with almost all the histopathological prognostic factors except CRM and TIL involvement (P < 0.003). MK correlated positively with the prognostic factors except CA19-9 level and CRM involvement (P < 0.006). The AUC ranges were 0.724-0.950 for R2* and 0.755-0.913 for DKI-derived parameters for differentiation of prognostic factors. However, no significant differences of diagnostic performance were found between T2*WI, DKI, or the combined imaging methods in characterizing rectal cancer.
CONCLUSION: R2* and DKI-derived parameters were associated with different histopathological prognostic factors, and might act as noninvasive biomarkers for histopathological characterization of rectal cancer.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Diffusion magnetic resonance imaging; Prognosis; Rectal neoplasms

Mesh:

Year:  2021        PMID: 34958406     DOI: 10.1007/s00261-021-03369-1

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  31 in total

Review 1.  Prognostic and predictive factors in colorectal cancer.

Authors:  I Zlobec; A Lugli
Journal:  J Clin Pathol       Date:  2008-03-06       Impact factor: 3.411

2.  The value of diffusion kurtosis magnetic resonance imaging for assessing treatment response of neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Authors:  Jing Yu; Qing Xu; Jia-Cheng Song; Yan Li; Xin Dai; Dong-Ya Huang; Ling Zhang; Yang Li; Hai-Bin Shi
Journal:  Eur Radiol       Date:  2016-09-08       Impact factor: 5.315

3.  Diffusion kurtosis imaging in the characterisation of rectal cancer: utilizing the most repeatable region-of-interest strategy for diffusion parameters on a 3T scanner.

Authors:  Yiqun Sun; Qin Xiao; Feixiang Hu; Caixia Fu; Huixun Jia; Xu Yan; Chao Xin; Sanjun Cai; Weijun Peng; Xiaolin Wang; Tong Tong; Yajia Gu
Journal:  Eur Radiol       Date:  2018-05-24       Impact factor: 5.315

4.  Diffusion kurtosis imaging-derived histogram metrics for prediction of KRAS mutation in rectal adenocarcinoma: Preliminary findings.

Authors:  Yanfen Cui; Xue'e Cui; Xiaotang Yang; Zhizheng Zhuo; Xiaosong Du; Lei Xin; Zhao Yang; Xintao Cheng
Journal:  J Magn Reson Imaging       Date:  2019-01-14       Impact factor: 4.813

5.  Intravoxel Incoherent Motion MRI of Rectal Cancer: Correlation of Diffusion and Perfusion Characteristics With Prognostic Tumor Markers.

Authors:  Hongliang Sun; Yanyan Xu; Aiping Song; Kaining Shi; Wu Wang
Journal:  AJR Am J Roentgenol       Date:  2018-02-15       Impact factor: 3.959

6.  Response assessment after (chemo)radiotherapy for rectal cancer: Why are we missing complete responses with MRI and endoscopy?

Authors:  Marit E van der Sande; Geerard L Beets; Britt Jp Hupkens; Stéphanie O Breukink; Jarno Melenhorst; Frans Ch Bakers; Doenja Mj Lambregts; Heike I Grabsch; Regina Gh Beets-Tan; Monique Maas
Journal:  Eur J Surg Oncol       Date:  2018-11-24       Impact factor: 4.424

Review 7.  Colorectal cancer.

Authors:  Jürgen Weitz; Moritz Koch; Jürgen Debus; Thomas Höhler; Peter R Galle; Markus W Büchler
Journal:  Lancet       Date:  2005 Jan 8-14       Impact factor: 79.321

8.  Preoperative elevation of carcinoembryonic antigen predicts poor tumor response and frequent distant recurrence for patients with rectal cancer who receive preoperative chemoradiotherapy and total mesorectal excision: a multi-institutional analysis in an Asian population.

Authors:  Jong Hoon Lee; Sung Hwan Kim; Hong Seok Jang; Hyuk Jun Chung; Seong Taek Oh; Doo Seok Lee; Jun-Gi Kim
Journal:  Int J Colorectal Dis       Date:  2012-12-04       Impact factor: 2.571

9.  Diffusion kurtosis imaging in patients with locally advanced rectal cancer: current status and future perspectives.

Authors:  Vincenza Granata; Roberta Fusco; Alfonso Reginelli; Paolo Delrio; Francesco Selvaggi; Roberto Grassi; Francesco Izzo; Antonella Petrillo
Journal:  J Int Med Res       Date:  2019-04-28       Impact factor: 1.671

10.  Exploring MR regression patterns in rectal cancer during neoadjuvant radiochemotherapy with daily T2- and diffusion-weighted MRI.

Authors:  T Bostel; C Dreher; D Wollschläger; A Mayer; F König; S Bickelhaupt; H P Schlemmer; P E Huber; F Sterzing; P Bäumer; J Debus; N H Nicolay
Journal:  Radiat Oncol       Date:  2020-07-11       Impact factor: 3.481

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