Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis.

scientific article published on 29 January 2018

Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis. is …
instance of (P31):
scholarly articleQ13442814

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P6179Dimensions Publication ID1100693156
P356DOI10.1245/S10434-017-6323-3
P8608Fatcat IDrelease_tmhyokgt5jeg3alnhbznonihpq
P932PMC publication ID6752719
P698PubMed publication ID29380093

P50authorRonald P DeMatteoQ89998373
P2093author name stringVinod P Balachandran
Peter J Allen
Mithat Gönen
Amber L Simpson
Michael I D'Angelica
T Peter Kingham
William R Jarnagin
Alexandre Doussot
Richard K Do
Jayasree Chakraborty
Liana Langdon-Embry
Marc A Attiyeh
Shiana Mainarich
P2860cites workDecoding tumour phenotype by noninvasive imaging using a quantitative radiomics approachQ23760721
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A multi-gene signature predicts outcome in patients with pancreatic ductal adenocarcinomaQ34941883
Texture analysis of preoperative CT images for prediction of postoperative hepatic insufficiency: a preliminary studyQ35108829
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Systemic Inflammatory Response and Elevated Tumour Markers Predict Worse Survival in Resectable Pancreatic Ductal AdenocarcinomaQ36134440
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Pancreatic adenocarcinoma: the actual 5-year survivorsQ37008577
Prognostic value of combined preoperative lactate dehydrogenase and alkaline phosphatase levels in patients with resectable pancreatic ductal adenocarcinomaQ37327988
Visually isoattenuating pancreatic adenocarcinoma at dynamic-enhanced CT: frequency, clinical and pathologic characteristics, and diagnosis at imaging examinationsQ37778953
Small (≤ 20 mm) pancreatic adenocarcinomas: analysis of enhancement patterns and secondary signs with multiphasic multidetector CT.Q37853285
Locally advanced squamous cell carcinoma of the head and neck: CT texture and histogram analysis allow independent prediction of overall survival in patients treated with induction chemotherapyQ38126367
Radiological tumor density and lymph node size correlate with survival in resectable adenocarcinoma of the pancreatic head: A retrospective cohort studyQ38806686
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Does Size Matter in Pancreatic Cancer?: Reappraisal of Tumour Dimension as a Predictor of Outcome Beyond the TNM.Q39670878
Intratumoral heterogeneity of (18)F-FDG uptake predicts survival in patients with pancreatic ductal adenocarcinomaQ40000698
Identifying prognostic intratumor heterogeneity using pre- and post-radiotherapy 18F-FDG PET images for pancreatic cancer patientsQ42318810
Hospital volume and surgical mortality in the United States.Q44464097
Tumor heterogeneity and permeability as measured on the CT component of PET/CT predict survival in patients with non-small cell lung cancer.Q45035123
Preoperative CEA and CA 19-9 are prognostic markers for survival after curative resection for ductal adenocarcinoma of the pancreas - a retrospective tumor marker prognostic study.Q45059768
Pancreatic ductal adenocarcinoma radiology reporting template: consensus statement of the Society of Abdominal Radiology and the American Pancreatic AssociationQ46635079
A nomogram based on preoperative inflammatory markers predicting the overall survival of pancreatic ductal adenocarcinomaQ48155735
A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling.Q51567884
Texture information in run-length matrices.Q51892880
Circulating Tumor Cells Expressing Markers of Tumor-Initiating Cells Predict Poor Survival and Cancer Recurrence in Patients with Pancreatic Ductal Adenocarcinoma.Q55000756
Prognostic nomogram for patients undergoing resection for adenocarcinoma of the pancreasQ57846416
A comparative study of histopathological findings and CT images related to pancreatic carcinomas. An attempt at diagnosis in tissue characterization by CTQ68171559
Six hundred fifty consecutive pancreaticoduodenectomies in the 1990s: pathology, complications, and outcomesQ73810358
Preoperative FDG-PET predicts early recurrence and a poor prognosis after resection of pancreatic adenocarcinomaQ85252927
Pancreas Segmentation in MRI using Graph-Based Decision Fusion on Convolutional Neural NetworksQ89916516
P433issue4
P921main subjectimage analysisQ860755
invasive ductal carcinomaQ1671685
pancreatic ductal carcinomaQ8263002
pancreatic ductal adenocarcinomaQ18555956
P304page(s)1034-1042
P577publication date2018-01-29
P1433published inAnnals of Surgical OncologyQ2853069
P1476titleSurvival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis
P478volume25

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cites work (P2860)
Q89450405Contrast-enhanced CT radiomics for predicting lymph node metastasis in pancreatic ductal adenocarcinoma: a pilot study
Q104485964Convolutional neural network for the detection of pancreatic cancer on CT scans
Q104485965Convolutional neural network for the detection of pancreatic cancer on CT scans - Authors' reply
Q89625759MRI radiomics for early prediction of response to vaccine therapy in a transgenic mouse model of pancreatic ductal adenocarcinoma
Q89476437Pancreatic ductal adenocarcinoma: a radiomics nomogram outperforms clinical model and TNM staging for survival estimation after curative resection
Q64097540Prognostic Value of CT Radiomic Features in Resectable Pancreatic Ductal Adenocarcinoma
Q97636081Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer
Q90706535Radiomics Facilitates Candidate Selection for Irradiation Stents Among Patients With Unresectable Pancreatic Cancer
Q90302948Texture Analysis: An Emerging Clinical Tool for Pancreatic Lesions

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