(Q40000698)

16 September 2017

title

Intratumoral heterogeneity of (18)F-FDG uptake predicts survival in patients with pancreatic ductal adenocarcinoma (English)

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16 September 2017

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Seung Hyup Hyun

1

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16 September 2017

Ho Seong Kim

2

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16 September 2017

Seong Ho Choi

3

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16 September 2017

Dong Wook Choi

4

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16 September 2017

Jong Kyun Lee

5

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16 September 2017

Kwang Hyuck Lee

6

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16 September 2017

Joon Oh Park

7

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16 September 2017

Kyung-Han Lee

8

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16 September 2017

Byung-Tae Kim

9

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16 September 2017

Joon Young Choi

10

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16 September 2017

publication date

12 February 2016

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European Journal of Nuclear Medicine and Molecular Imaging

16 September 2017

number of pages

8

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based on heuristic

inferred from page(s)

published in

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16 September 2017

volume

43

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16 September 2017

issue

8

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16 September 2017

page(s)

1461-1468

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https://scigraph.springernature.com/pub.10.1007/s00259-016-3316-6

16 September 2017

exact match

0 references

cites work

Long-term survival after curative resection for pancreatic ductal adenocarcinoma. Clinicopathologic analysis of 5-year survivors

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https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Biomarkers as predictors of recurrence following curative resection for pancreatic ductal adenocarcinoma: a review

21 January 2018

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https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

PET/CT of cancer patients: part 1, pancreatic neoplasms

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

FDG-PET in diagnosis, staging and prognosis of pancreatic carcinoma: a meta-analysis

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Prognostic Value of Metabolic Tumor Volume and Total Lesion Glycolysis on Preoperative ¹⁸F-FDG PET/CT in Patients with Pancreatic Cancer.

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Volume-based assessment by (18)F-FDG PET/CT predicts survival in patients with stage III non-small-cell lung cancer

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Prognostic Value of Metabolic Tumor Volume Estimated by (18) F-FDG Positron Emission Tomography/Computed Tomography in Patients with Diffuse Large B-Cell Lymphoma of Stage II or III Disease

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Volume-based metabolic tumor response to neoadjuvant chemotherapy is associated with an increased risk of recurrence in breast cancer

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Prognostic Value of Volume-Based Metabolic Parameters Measured by (18)F-FDG PET/CT of Pancreatic Neuroendocrine Tumors

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

21 January 2018

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https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Recent Trends in PET Image Interpretations Using Volumetric and Texture-based Quantification Methods in Nuclear Oncology.

21 January 2018

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https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer.

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Non-Small Cell Lung Cancer Treated with Erlotinib: Heterogeneity of (18)F-FDG Uptake at PET-Association with Treatment Response and Prognosis.

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

18F-FDG PET uptake characterization through texture analysis: investigating the complementary nature of heterogeneity and functional tumor volume in a multi-cancer site patient cohort

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Intra-reader reliability of FDG PET volumetric tumor parameters: effects of primary tumor size and segmentation methods.

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

What is the best way to contour lung tumors on PET scans? Multiobserver validation of a gradient-based method using a NSCLC digital PET phantom

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Time-dependent ROC curves for censored survival data and a diagnostic marker

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Textural features in pre-treatment [F18]-FDG-PET/CT are correlated with risk of local recurrence and disease-specific survival in early stage NSCLC patients receiving primary stereotactic radiation therapy.

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Are pretreatment 18F-FDG PET tumor textural features in non-small cell lung cancer associated with response and survival after chemoradiotherapy?

21 January 2018

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https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Impact of Image Reconstruction Settings on Texture Features in 18F-FDG PET.

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00259-016-3316-6

Development and evaluation of an open-source software package "CGITA" for quantifying tumor heterogeneity with molecular images

21 January 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/26872788

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Tumor texture analysis in 18F-FDG PET: relationships between texture parameters, histogram indices, standardized uptake values, metabolic volumes, and total lesion glycolysis

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/26872788

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1007/S00259-016-3316-6

1 reference

16 September 2017

1 reference