Investigation of radiomic signatures for local recurrence using primary tumor texture analysis in oropharyngeal head and neck cancer patients

被引：74

作者：

Elhalawani, Hesham ^{[1
]}

Kanwar, Aasheesh ^{[1
,2
]}

Mohamed, Abdallah S. R. ^{[1
,3
]}

White, Aubrey ^{[1
,4
]}

Zafereo, James ^{[1
,4
]}

Wong, Andrew ^{[1
,5
]}

Berends, Joel ^{[1
,5
]}

Abohashem, Shady ^{[1
,6
,7
]}

Williams, Bowman ^{[1
,8
]}

Aymard, Jeremy M. ^{[1
,9
]}

Perni, Subha ^{[1
,10
]}

Messer, Jay ^{[1
]}

Warren, Ben ^{[1
]}

Youssef, Bassem ^{[11
]}

Yang, Pei ^{[1
,12
]}

Meheissen, Mohamed A. M. ^{[1
,3
]}

Kamal, Mona ^{[1
,13
]}

Elgohari, Baher ^{[1
,14
]}

Ger, Rachel B. ^{[15
,16
]}

Cardenas, Carlos E. ^{[15
]}

Fave, Xenia ^{[15
]}

Zhang, Lifei ^{[15
]}

Mackin, Dennis ^{[15
]}

Marai, G. Elisabeta ^{[17
]}

Vock, David M. ^{[18
]}

Canahuate, Guadalupe M. ^{[19
]}

Lai, Stephen Y. ^{[20
]}

Gunn, G. Brandon ^{[1
]}

Garden, Adam S. ^{[1
]}

Rosenthal, David I. ^{[1
]}

Court, Laurence ^{[15
]}

Fuller, Clifton D. ^{[1
,21
]}

机构：

[1] Univ Texas MD Anderson Canc Ctr, Dept Radiat Oncol, Houston, TX 77030 USA

[2] Texas Tech Univ, Hlth Sci Ctr, Sch Med, Lubbock, TX 79430 USA

[3] Univ Alexandria, Dept Clin Oncol, Alexandria, EG, Egypt

[4] Univ Texas Hlth Sci Ctr Houston UTHlth, McGovern Med Sch, Houston, TX USA

[5] Univ Texas Hlth Sci Ctr San Antonio, San Antonio, TX 78229 USA

[6] Harvard Med Sch, Dept Cardiol, Boston, MA USA

[7] Massachusetts Gen Hosp, Boston, MA 02114 USA

[8] Furman Univ, Greenville, SC 29613 USA

[9] Abilene Christian Univ, Abilene, TX 79699 USA

[10] Columbia Coll Phys & Surg, New York, MA USA

[11] Amer Univ Beirut, Dept Radiat Oncol, Beirut, Lebanon

[12] Cent South Univ, Hunan Canc Hosp, Xiangya Sch Med, Affiliated Canc Hosp, Changsha, Hunan, Peoples R China

[13] Ain Shams Univ, Dept Clin Oncol & Nucl Med, Cairo, Egypt

[14] Univ Mansoura, Clin Oncol & Nucl Med Dept, Mansoura, Egypt

[15] Univ Texas MD Anderson Canc Ctr, Dept Radiat Phys, Houston, TX 77030 USA

[16] Grad Sch Biomed Sci, Houston, TX USA

[17] Univ Illinois, Dept Comp Sci, Chicago, IL USA

[18] Univ Minnesota, Sch Publ Hlth, Div Biostat, Minneapolis, MN 55455 USA

[19] Univ Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA

[20] Univ Texas MD Anderson Canc Ctr, Dept Head & Neck Surg, Houston, TX 77030 USA

[21] Univ Texas Houston, Grad Sch Biomed Sci, Med Phys Program, Houston, TX 77030 USA

来源：

SCIENTIFIC REPORTS | 2018年 / 8卷

基金：

美国国家卫生研究院; 美国国家科学基金会;

关键词：

HUMAN-PAPILLOMAVIRUS; CT; HETEROGENEITY; SURVIVAL; FEATURES;

D O I：

10.1038/s41598-017-14687-0

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Radiomics is one such "big data" approach that applies advanced image refining/data characterization algorithms to generate imaging features that can quantitatively classify tumor phenotypes in a noninvasive manner. We hypothesize that certain textural features of oropharyngeal cancer (OPC) primary tumors will have statistically significant correlations to patient outcomes such as local control. Patients from an IRB-approved database dispositioned to (chemo) radiotherapy for locally advanced OPC were included in this retrospective series. Pretreatment contrast CT scans were extracted and radiomics-based analysis of gross tumor volume of the primary disease (GTVp) were performed using imaging biomarker explorer (IBEX) software that runs in Matlab platform. Data set was randomly divided into a training dataset and test and tuning holdback dataset. Machine learning methods were applied to yield a radiomic signature consisting of features with minimal overlap and maximum prognostic significance. The radiomic signature was adapted to discriminate patients, in concordance with other key clinical prognosticators. 465 patients were available for analysis. A signature composed of 2 radiomic features from pre-therapy imaging was derived, based on the Intensity Direct and Neighbor Intensity Difference methods. Analysis of resultant groupings showed robust discrimination of recurrence probability and Kaplan-Meier-estimated local control rate (LCR) differences between "favorable" and "unfavorable" clusters were noted.

引用

页数：13

共 37 条

[31] Projecting Cancer Incidence and Deaths to 2030: The Unexpected Burden of Thyroid, Liver, and Pancreas Cancers in the United States [J].

Rahib, Lola ;

Smith, Benjamin D. ;

Aizenberg, Rhonda ;

Rosenzweig, Allison B. ;

Fleshman, Julie M. ;

Matrisian, Lynn M. .

CANCER RESEARCH, 2014, 74 (11) :2913-2921

[32] PERK/eIF2α signaling protects therapy resistant hypoxic cells through induction of glutathione synthesis and protection against ROS [J].

Rouschop, Kasper M. ;

Dubois, Ludwig J. ;

Keulers, Tom G. ;

van den Beucken, Twan ;

Lambin, Philippe ;

Bussink, Johan ;

van der Kogel, Albert J. ;

Koritzinsky, Marianne ;

Wouters, Bradly G. .

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2013, 110 (12) :4622-4627

[33] External validation of a Cox prognostic model: principles and methods [J].

Royston, Patrick ;

Altman, Douglas G. .

BMC MEDICAL RESEARCH METHODOLOGY, 2013, 13

[34] Patterns of locoregional failure after exclusive IMRT for oropharyngeal carcinoma [J].

Sanguineti, Giuseppe ;

Gunn, G. Brandon ;

Endres, Eugene J. ;

Chaljub, Gregory ;

Cheruvu, Praveena ;

Parker, Brent .

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2008, 72 (03) :737-746

[35] MARTINGALE-BASED RESIDUALS FOR SURVIVAL MODELS [J].

THERNEAU, TM ;

GRAMBSCH, PM ;

FLEMING, TR .

BIOMETRIKA, 1990, 77 (01) :147-160

[36] Applications and limitations of radiomics [J].

Yip, Stephen S. F. ;

Aerts, Hugo J. W. L. .

PHYSICS IN MEDICINE AND BIOLOGY, 2016, 61 (13) :R150-R166

[37] Ibex: An open infrastructure software platform to facilitate collaborative work in radiomics [J].

Zhang, Lifei ;

Fried, David V. ;

Fave, Xenia J. ;

Hunter, Luke A. ;

Yang, Jinzhong ;

Court, Laurence E. .

Medical Physics, 2015, 42 (03)

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