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

NW Schurink, DMJ Lambregts… - The British journal of …, 2019 - academic.oup.com
This review summarizes current applications and clinical utility of diffusion-weighted imaging
(DWI) for rectal cancer and in addition provides a brief overview of more recent …

Advanced analytics and artificial intelligence in gastrointestinal cancer: a systematic review of radiomics predicting response to treatment

NJ Wesdorp, T Hellingman, EP Jansma… - European journal of …, 2021 - Springer
Purpose Advanced medical image analytics is increasingly used to predict clinical outcome
in patients diagnosed with gastrointestinal tumors. This review provides an overview on the …

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

I Shahzadi, A Zwanenburg, A Lattermann, A Linge… - Scientific reports, 2022 - nature.com
Radiomics analyses commonly apply imaging features of different complexity for the
prediction of the endpoint of interest. However, the prognostic value of each feature class is …

MR imaging with apparent diffusion coefficient histogram analysis: evaluation of locally advanced rectal cancer after chemotherapy and radiation therapy

NE Enkhbaatar, S Inoue, H Yamamuro, S Kawada… - Radiology, 2018 - pubs.rsna.org
Purpose To determine response to neoadjuvant chemotherapy and radiation therapy in
patients with locally advanced rectal cancer (LARC) by using magnetic resonance (MR) …

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

J Wang, J Chen, R Zhou, Y Gao, J Li - BMC cancer, 2022 - Springer
Background The purpose of this study was to investigate and validate multiparametric
magnetic resonance imaging (MRI)-based machine learning classifiers for early …

MRI evaluation of complete response of locally advanced rectal cancer after Neoadjuvant therapy: Current status and future trends

Q Xu, Y Xu, H Sun, T Jiang, S Xie, BY Ooi… - Cancer Management …, 2021 - Taylor & Francis
Complete tumor response can be achieved in a certain proportion of patients with locally
advanced rectal cancer, who achieve maximal response to neoadjuvant therapy (NAT). For …

[HTML][HTML] Histogram analysis of ADC in rectal cancer: associations with different histopathological findings including expression of EGFR, Hif1-alpha, VEGF, p53, PD1 …

HJ Meyer, A Höhn, A Surov - Oncotarget, 2018 - ncbi.nlm.nih.gov
Functional imaging modalities like Diffusion-weighted imaging are increasingly used to
predict tumor behavior like cellularity and vascularity in different tumors. Histogram analysis …

The utility of ADC first-order histogram features for the prediction of metachronous metastases in rectal cancer: a preliminary study

B Boca, C Caraiani, L Popa, A Lebovici, DS Feier… - Biology, 2022 - mdpi.com
Simple Summary Metachronous metastases are the main factors affecting survival in rectal
cancer, and 15–25% of patients will develop them at a 5-year follow-up. Early identification …

MRI radiomics in the prediction of therapeutic response to neoadjuvant therapy for locoregionally advanced rectal cancer: a systematic review

AM Di Re, Y Sun, P Sundaresan, E Hau… - Expert Review of …, 2021 - Taylor & Francis
Introduction: The standard of care for locoregionally advanced rectal cancer is neoadjuvant
therapy (NA CRT) prior to surgery, of which 10–30% experience a complete pathologic …

Volumetric histogram analysis of apparent diffusion coefficient for predicting pathological complete response and survival in esophageal cancer patients treated with …

A Hirata, K Hayano, G Ohira, S Imanishi… - The American Journal of …, 2020 - Elsevier
Background The purpose of the study was to evaluate whether histogram analysis of
apparent diffusion coefficient (ADC) can predict pathological complete response (pCR) and …