scholarly journals Multiparametric MRI of rectal cancer—repeatability of quantitative data: a feasibility study

2020 ◽  
Vol 26 (2) ◽  
pp. 87-94 ◽  
Author(s):  
Bengi Gurses ◽  
◽  
Emre Altinmakas ◽  
Medine Boge ◽  
M. Serhat Aygun ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Feasibility Study ◽  
Quantitative Data ◽  
Multiparametric Mri

Multiparametric MRI-based radiomics signature for preoperative estimation of tumor-stroma ratio in rectal cancer

2020 ◽  
Author(s):  
Chongpeng Cai ◽  
Tingdan Hu ◽  
Jing Gong ◽  
Dan Huang ◽  
Fangqi Liu ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Tumor Stroma ◽  
Multiparametric Mri ◽  
Radiomics Signature

scholarly journals Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study

2016 ◽  
Vol 37 (12) ◽  
pp. 2231-2236 ◽  
Author(s):  
P. Tiwari ◽  
P. Prasanna ◽  
L. Wolansky ◽  
M. Pinho ◽  
M. Cohen ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Feasibility Study ◽  
Texture Features ◽  
Multiparametric Mri

Feasibility study for use of brush cytology as a complementary method for diagnosis of rectal cancer

1997 ◽  
Vol 40 (5) ◽  
pp. 609-613 ◽  
Author(s):  
R. Farouk ◽  
J. Dodds ◽  
A. W. MacDonald ◽  
W. Young ◽  
G. S. Duthie ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Feasibility Study ◽  
Brush Cytology ◽  
Complementary Method

scholarly journals Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic Study

2020 ◽  
Vol 27 (11) ◽  
pp. 4296-4306 ◽  
Author(s):  
Lizhi Shao ◽  
Zhenyu Liu ◽  
Lili Feng ◽  
Xiaoying Lou ◽  
Zhenhui Li ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Treatment Planning ◽  
External Validation ◽  
Locally Advanced ◽  
Neoadjuvant Chemoradiotherapy ◽  
Multiparametric Mri ◽  
Pathological Response ◽  
Specific Response ◽  
Whole Slide Image ◽  
Slide Image

Abstract Background The aim of this work is to combine radiological and pathological information of tumor to develop a signature for pretreatment prediction of discrepancies of pathological response at several centers and restage patients with locally advanced rectal cancer (LARC) for individualized treatment planning. Patients and Methods A total of 981 consecutive patients with evaluation of response according to tumor regression grade (TRG) who received nCRT were retrospectively recruited from four hospitals (primary cohort and external validation cohort 1–3); both pretreatment multiparametric MRI (mp-MRI) and whole slide image (WSI) of biopsy specimens were available for each patient. Quantitative image features were extracted from mp-MRI and WSI and used to construct a radiopathomics signature (RPS) powered by an artificial-intelligence model. Models based on mp-MRI or WSI alone were also constructed for comparison. Results The RPS showed overall accuracy of 79.66–87.66% in validation cohorts. The areas under the curve of RPS at specific response grades were 0.98 (TRG0), 0.93 (≤ TRG1), and 0.84 (≤ TRG2). RPS at each grade of pathological response revealed significant improvement compared with both signatures constructed without combining multiscale tumor information (P < 0.01). Moreover, RPS showed relevance to distinct probabilities of overall survival and disease-free survival in patients with LARC who underwent nCRT (P < 0.05). Conclusions The results of this study suggest that radiopathomics, combining both radiological information of the whole tumor and pathological information of local lesions from biopsy, could potentially predict discrepancies of pathological response prior to nCRT for better treatment planning.

scholarly journals Multiparametric MRI in the assessment of response of rectal cancer to neoadjuvant chemoradiotherapy: A comparison of morphological, volumetric and functional MRI parameters

2016 ◽  
Vol 26 (12) ◽  
pp. 4303-4312 ◽  
Author(s):  
Andreas M. Hötker ◽  
Lisa Tarlinton ◽  
Yousef Mazaheri ◽  
Kaitlin M. Woo ◽  
Mithat Gönen ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Functional Mri ◽  
Neoadjuvant Chemoradiotherapy ◽  
Multiparametric Mri
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