Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer

Predicting locally advanced rectal cancer response to neoadjuvant therapy with 18F-FDG PET and MRI radiomics features

(2019) V. Giannini et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Radiomics-Based Pretherapeutic Prediction of Non-response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer

(2019) Xuezhi Zhou et al.   ANNALS OF SURGICAL ONCOLOGY

Pre-treatment ADC image-based random forest classifier for identifying resistant rectal adenocarcinoma to neoadjuvant chemoradiotherapy

(2019) Chun Yang et al.   INTERNATIONAL JOURNAL OF COLORECTAL DISEASE

Ki67 expression and localization of T cells after neoadjuvant therapies as reliable predictive markers in rectal cancer

(2019) Ken Imaizumi et al.   CANCER SCIENCE

Magnetic Resonance, Vendor-independent, Intensity Histogram Analysis Predicting Pathologic Complete Response After Radiochemotherapy of Rectal Cancer

(2018) Nicola Dinapoli et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Rectal Cancer, Version 2.2018, NCCN Clinical Practice Guidelines in Oncology

(2018) Al B. Benson et al.   Journal of the National Comprehensive Cancer Network

MR Imaging of Rectal Cancer: Radiomics Analysis to Assess Treatment Response after Neoadjuvant Therapy

(2018) Natally Horvat et al.   RADIOLOGY

NCCN Guidelines Insights: Colorectal Cancer Screening, Version 1.2018

(2018) Dawn Provenzale et al.   Journal of the National Comprehensive Cancer Network

Preoperative radiomic signature based on multiparametric magnetic resonance imaging for noninvasive evaluation of biological characteristics in rectal cancer

(2018) Xiaochun Meng et al.   EUROPEAN RADIOLOGY

Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas

(2018) Niha Beig et al.   RADIOLOGY

FDG PET/CT radiomics for predicting the outcome of locally advanced rectal cancer

(2017) Pierre Lovinfosse et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma

(2017) Zhichao Feng et al.   EUROPEAN RADIOLOGY

Endometrial Carcinoma: MR Imaging–based Texture Model for Preoperative Risk Stratification—A Preliminary Analysis

(2017) Yoshiko Ueno et al.   RADIOLOGY

Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI

(2017) Xiaopan Xu et al.   International Journal of Computer Assisted Radiology and Surgery

Preoperative prediction of muscular invasiveness of bladder cancer with radiomic features on conventional MRI and its high-order derivative maps

(2017) Xiaopan Xu et al.   Abdominal Radiology

CT texture analysis in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy: A potential imaging biomarker for treatment response and prognosis

(2017) Choong Guen Chee et al.   PLoS One

Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response

(2016) P. Kickingereder et al.   CLINICAL CANCER RESEARCH

Rectal Cancer: Assessment of Neoadjuvant Chemoradiation Outcome based on Radiomics of Multiparametric MRI

(2016) K. Nie et al.   CLINICAL CANCER RESEARCH

Differentiation of Uterine Leiomyosarcoma from Atypical Leiomyoma: Diagnostic Accuracy of Qualitative MR Imaging Features and Feasibility of Texture Analysis

(2016) Yulia Lakhman et al.   EUROPEAN RADIOLOGY

“Textural analysis of multiparametric MRI detects transition zone prostate cancer”

(2016) Harbir S. Sidhu et al.   EUROPEAN RADIOLOGY

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Performance of diffusion-weighted imaging, perfusion imaging, and texture analysis in predicting tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3T MR: initial experience

(2016) Carlo N. De Cecco et al.   Abdominal Radiology

Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer

(2015) Chintan Parmar et al.   Frontiers in Oncology

Machine Learning methods for Quantitative Radiomic Biomarkers

(2015) Chintan Parmar et al.   Scientific Reports

Restaging of Locally Advanced Rectal Cancer With Magnetic Resonance Imaging and Endoluminal Ultrasound After Preoperative Chemoradiotherapy

(2014) Ri-Sheng Zhao et al.   DISEASES OF THE COLON & RECTUM

MRI-detected extramural vascular invasion is an independent prognostic factor for synchronous metastasis in patients with rectal cancer

(2014) Beomseok Sohn et al.   EUROPEAN RADIOLOGY

Dynamic contrast enhanced MR imaging for rectal cancer response assessment after neo-adjuvant chemoradiation

(2014) Martijn Intven et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Comparison of Tumor Regression Grade Systems for Locally Advanced Rectal Cancer After Multimodality Treatment

(2014) Atthaphorn Trakarnsanga et al.   JNCI-Journal of the National Cancer Institute

HER2 gene copy number status may influence clinical efficacy to anti-EGFR monoclonal antibodies in metastatic colorectal cancer patients

(2013) V Martin et al.   BRITISH JOURNAL OF CANCER

Relationship between histologic response and the degree of tumor shrinkage after chemoradiotherapy in patients with locally advanced rectal cancer

(2013) Toshiyuki Suzuki et al.   JOURNAL OF SURGICAL ONCOLOGY

Neoadjuvant Treatment Response As an Early Response Indicator for Patients With Rectal Cancer

(2012) In Ja Park et al.   JOURNAL OF CLINICAL ONCOLOGY

Preoperative chemoradiotherapy and postoperative chemotherapy with fluorouracil and oxaliplatin versus fluorouracil alone in locally advanced rectal cancer: initial results of the German CAO/ARO/AIO-04 randomised phase 3 trial

(2012) Claus Rödel et al.   LANCET ONCOLOGY

Preoperative Radiotherapy is Associated with Worse Functional Results After Coloanal Anastomosis for Rectal Cancer

(2011) Yann Parc et al.   DISEASES OF THE COLON & RECTUM

MRI After Chemoradiotherapy of Rectal Cancer: A Useful Tool to Select Patients for Local Excision

(2011) Sanne M. E. Engelen et al.   DISEASES OF THE COLON & RECTUM

Primary Tumor Response to Preoperative Chemoradiation With or Without Oxaliplatin in Locally Advanced Rectal Cancer: Pathologic Results of the STAR-01 Randomized Phase III Trial

(2011) Carlo Aschele et al.   JOURNAL OF CLINICAL ONCOLOGY

Long-term outcome in patients with a pathological complete response after chemoradiation for rectal cancer: a pooled analysis of individual patient data

(2010) Monique Maas et al.   LANCET ONCOLOGY

Annual report to the nation on the status of cancer, 1975-2006, featuring colorectal cancer trends and impact of interventions (risk factors, screening, and treatment) to reduce future rates

(2009) Brenda K. Edwards et al.   CANCER

Accurate Prediction of Pathological Rectal Tumor Response after Two Weeks of Preoperative Radiochemotherapy Using 18F-Fluorodeoxyglucose-Positron Emission Tomography-Computed Tomography Imaging

(2009) Marco H.M. Janssen et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS