Minglei Yang1, Yijiu Ren2, Yunlang She2, Dong Xie2, Xiwen Sun3, Jingyun Shi3, Guofang Zhao1, Chang Chen2. 1. Department of Cardiothoracic Surgery, Ningbo No. 2 Hospital, Ningbo 315012, China. 2. Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200443, China. 3. Department of Radiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200443, China.
Abstract
BACKGROUND: Dry pleural dissemination (DPD) in non-small cell lung cancer (NSCLC) is defined as having solid pleural metastases without malignant pleural effusion. We aim to identify DPD by applying radiomics, a novel approach to decode the tumor phenotype. METHODS: Preoperative chest computed tomographic images and basic clinical feature were retrospectively evaluated in patients with surgically resected NSCLC between January 1, 2015 and December 31, 2016. Propensity score was applied to match the DPD and non-DPD groups. One thousand and eighty radiomics features were quantitatively extracted by the 3D slicer software and "pyradiomics" package. Least absolute shrinkage and selection operator (LASSO) binary model was applied for feature selection and developing the radiomics signature. The discrimination was evaluated using area under the curve (AUC) and Youden index. RESULTS: Sixty-four DPD patients and paired 192 non-DPD patients were enrolled. Using the LASSO model, this study developed a radiomics signature including 10 radiomic features. The mean ± standard deviation values of the radiomics signature with DPD status (-2.129±1.444) was significantly higher compared to those with non-DPD disease (0.071±0.829, P<0.001). The ten-feature based signature showed good discrimination between DPD and non-DPD, with an AUC of 0.93 (95% confidence-interval, 0.891-0.958) respectively. The sensitivity and specificity of the radiomics signature was 85.94% and 85.94%, with the optimal cut-off value of -0.696 and Youden index of 0.71. CONCLUSIONS: The signature based on radiomics features can provide potential predictive value to identify DPD in patients with NSCLC.
BACKGROUND: Dry pleural dissemination (DPD) in non-small cell lung cancer (NSCLC) is defined as having solid pleural metastases without malignant pleural effusion. We aim to identify DPD by applying radiomics, a novel approach to decode the tumor phenotype. METHODS: Preoperative chest computed tomographic images and basic clinical feature were retrospectively evaluated in patients with surgically resected NSCLC between January 1, 2015 and December 31, 2016. Propensity score was applied to match the DPD and non-DPD groups. One thousand and eighty radiomics features were quantitatively extracted by the 3D slicer software and "pyradiomics" package. Least absolute shrinkage and selection operator (LASSO) binary model was applied for feature selection and developing the radiomics signature. The discrimination was evaluated using area under the curve (AUC) and Youden index. RESULTS: Sixty-four DPD patients and paired 192 non-DPD patients were enrolled. Using the LASSO model, this study developed a radiomics signature including 10 radiomic features. The mean ± standard deviation values of the radiomics signature with DPD status (-2.129±1.444) was significantly higher compared to those with non-DPD disease (0.071±0.829, P<0.001). The ten-feature based signature showed good discrimination between DPD and non-DPD, with an AUC of 0.93 (95% confidence-interval, 0.891-0.958) respectively. The sensitivity and specificity of the radiomics signature was 85.94% and 85.94%, with the optimal cut-off value of -0.696 and Youden index of 0.71. CONCLUSIONS: The signature based on radiomics features can provide potential predictive value to identify DPD in patients with NSCLC.
Authors: Hee-Dong Chae; Chang Min Park; Sang Joon Park; Sang Min Lee; Kwang Gi Kim; Jin Mo Goo Journal: Radiology Date: 2014-08-01 Impact factor: 11.105
Authors: Julio Sánchez de Cos Escuín; José Abal Arca; Rosario Melchor Íñiguez; Luis Miravet Sorribes; Ana Núñez Ares; Jesús R Hernández Hernández; Luis García Arangüena; Manuel Núñez Delgado; Ma José Pavón Fernández; Gloria Francisco Corral; Leonardo de Esteban Júlvez; Ma Teresa González Budiño; Francisco Abad Cavaco; Emilio Ansótegui Barrera; Felipe Andreo García; Mireia Serra Mitjans; Helena Hernández Rodríguez Journal: Lung Cancer Date: 2014-02-23 Impact factor: 5.705
Authors: Chintan Parmar; Emmanuel Rios Velazquez; Ralph Leijenaar; Mohammed Jermoumi; Sara Carvalho; Raymond H Mak; Sushmita Mitra; B Uma Shankar; Ron Kikinis; Benjamin Haibe-Kains; Philippe Lambin; Hugo J W L Aerts Journal: PLoS One Date: 2014-07-15 Impact factor: 3.240
Authors: R J Hallifax; M Haris; J P Corcoran; S Leyakathalikhan; E Brown; D Srikantharaja; A Manuel; F V Gleeson; M Munavvar; N M Rahman Journal: Thorax Date: 2014-07-30 Impact factor: 9.139
Authors: Emmanuel Rios Velazquez; Chintan Parmar; Mohammed Jermoumi; Raymond H Mak; Angela van Baardwijk; Fiona M Fennessy; John H Lewis; Dirk De Ruysscher; Ron Kikinis; Philippe Lambin; Hugo J W L Aerts Journal: Sci Rep Date: 2013-12-18 Impact factor: 4.379
Authors: Hugo J W L Aerts; Emmanuel Rios Velazquez; Ralph T H Leijenaar; Chintan Parmar; Patrick Grossmann; Sara Carvalho; Sara Cavalho; Johan Bussink; René Monshouwer; Benjamin Haibe-Kains; Derek Rietveld; Frank Hoebers; Michelle M Rietbergen; C René Leemans; Andre Dekker; John Quackenbush; Robert J Gillies; Philippe Lambin Journal: Nat Commun Date: 2014-06-03 Impact factor: 14.919
Authors: Kendall J Kiser; Sara Ahmed; Sonja Stieb; Abdallah S R Mohamed; Hesham Elhalawani; Peter Y S Park; Nathan S Doyle; Brandon J Wang; Arko Barman; Zhao Li; W Jim Zheng; Clifton D Fuller; Luca Giancardo Journal: Med Phys Date: 2020-08-28 Impact factor: 4.071
Authors: Arthur Jochems; Turkey Refaee; Henry C Woodruff; Philippe Lambin; Guangyao Wu; Abdalla Ibrahim; Chenggong Yan; Sebastian Sanduleanu Journal: Eur J Nucl Med Mol Imaging Date: 2021-03-11 Impact factor: 10.057
Authors: Anne-Noëlle Frix; François Cousin; Turkey Refaee; Fabio Bottari; Akshayaa Vaidyanathan; Colin Desir; Wim Vos; Sean Walsh; Mariaelena Occhipinti; Pierre Lovinfosse; Ralph T H Leijenaar; Roland Hustinx; Paul Meunier; Renaud Louis; Philippe Lambin; Julien Guiot Journal: J Pers Med Date: 2021-06-25