Literature DB >> 33924382

The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features' Stability with and without ComBat Harmonization.

Abdalla Ibrahim1,2,3,4, Turkey Refaee1,5, Sergey Primakov1,4, Bruno Barufaldi6, Raymond J Acciavatti6, Renée W Y Granzier7, Roland Hustinx3, Felix M Mottaghy2,4, Henry C Woodruff1,2, Joachim E Wildberger2, Philippe Lambin1,2, Andrew D A Maidment6.   

Abstract

While handcrafted radiomic features (HRFs) have shown promise in the field of personalized medicine, many hurdles hinder its incorporation into clinical practice, including but not limited to their sensitivity to differences in acquisition and reconstruction parameters. In this study, we evaluated the effects of differences in in-plane spatial resolution (IPR) on HRFs, using a phantom dataset (n = 14) acquired on two scanner models. Furthermore, we assessed the effects of interpolation methods (IMs), the choice of a new unified in-plane resolution (NUIR), and ComBat harmonization on the reproducibility of HRFs. The reproducibility of HRFs was significantly affected by variations in IPR, with pairwise concordant HRFs, as measured by the concordance correlation coefficient (CCC), ranging from 42% to 95%. The number of concordant HRFs (CCC > 0.9) after resampling varied depending on (i) the scanner model, (ii) the IM, and (iii) the NUIR. The number of concordant HRFs after ComBat harmonization depended on the variations between the batches harmonized. The majority of IMs resulted in a higher number of concordant HRFs compared to ComBat harmonization, and the combination of IMs and ComBat harmonization did not yield a significant benefit. Our developed framework can be used to assess the reproducibility and harmonizability of RFs.

Entities:  

Keywords:  harmonization; image processing; radiomics biomarkers; reproducibility

Year:  2021        PMID: 33924382     DOI: 10.3390/cancers13081848

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  10 in total

1.  A Guide to ComBat Harmonization of Imaging Biomarkers in Multicenter Studies.

Authors:  Fanny Orlhac; Jakoba J Eertink; Anne-Ségolène Cottereau; Josée M Zijlstra; Catherine Thieblemont; Michel Meignan; Ronald Boellaard; Irène Buvat
Journal:  J Nucl Med       Date:  2021-09-16       Impact factor: 10.057

2.  Impact of improved spatial resolution on radiomic features using photon-counting-detector CT.

Authors:  Chelsea A S Dunning; Kishore Rajendran; Joel G Fletcher; Cynthia H McCollough; Shuai Leng
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2022-04-04

3.  CT Reconstruction Kernels and the Effect of Pre- and Post-Processing on the Reproducibility of Handcrafted Radiomic Features.

Authors:  Turkey Refaee; Zohaib Salahuddin; Yousif Widaatalla; Sergey Primakov; Henry C Woodruff; Roland Hustinx; Felix M Mottaghy; Abdalla Ibrahim; Philippe Lambin
Journal:  J Pers Med       Date:  2022-03-31

4.  A Handcrafted Radiomics-Based Model for the Diagnosis of Usual Interstitial Pneumonia in Patients with Idiopathic Pulmonary Fibrosis.

Authors:  Turkey Refaee; Benjamin Bondue; Gaetan Van Simaeys; Guangyao Wu; Chenggong Yan; Henry C Woodruff; Serge Goldman; Philippe Lambin
Journal:  J Pers Med       Date:  2022-02-28

5.  Multi-Stage Harmonization for Robust AI across Breast MR Databases.

Authors:  Heather M Whitney; Hui Li; Yu Ji; Peifang Liu; Maryellen L Giger
Journal:  Cancers (Basel)       Date:  2021-09-26       Impact factor: 6.639

Review 6.  Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential.

Authors:  Xingping Zhang; Yanchun Zhang; Guijuan Zhang; Xingting Qiu; Wenjun Tan; Xiaoxia Yin; Liefa Liao
Journal:  Front Oncol       Date:  2022-02-17       Impact factor: 6.244

7.  MaasPenn Radiomics Reproducibility Score: A Novel Quantitative Measure for Evaluating the Reproducibility of CT-Based Handcrafted Radiomic Features.

Authors:  Abdalla Ibrahim; Bruno Barufaldi; Turkey Refaee; Telmo M Silva Filho; Raymond J Acciavatti; Zohaib Salahuddin; Roland Hustinx; Felix M Mottaghy; Andrew D A Maidment; Philippe Lambin
Journal:  Cancers (Basel)       Date:  2022-03-22       Impact factor: 6.639

8.  Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC.

Authors:  Simon A Keek; Esma Kayan; Avishek Chatterjee; José S A Belderbos; Gerben Bootsma; Ben van den Borne; Anne-Marie C Dingemans; Hester A Gietema; Harry J M Groen; Judith Herder; Cordula Pitz; John Praag; Dirk De Ruysscher; Janna Schoenmaekers; Hans J M Smit; Jos Stigt; Marcel Westenend; Haiyan Zeng; Henry C Woodruff; Philippe Lambin; Lizza Hendriks
Journal:  Ther Adv Med Oncol       Date:  2022-08-22       Impact factor: 5.485

9.  Test-Retest Data for the Assessment of Breast MRI Radiomic Feature Repeatability.

Authors:  R W Y Granzier; A Ibrahim; S Primakov; S A Keek; I Halilaj; A Zwanenburg; S M E Engelen; M B I Lobbes; P Lambin; H C Woodruff; M L Smidt
Journal:  J Magn Reson Imaging       Date:  2021-12-22       Impact factor: 5.119

10.  MRI-Based Radiomics Analysis for the Pretreatment Prediction of Pathologic Complete Tumor Response to Neoadjuvant Systemic Therapy in Breast Cancer Patients: A Multicenter Study.

Authors:  Renée W Y Granzier; Abdalla Ibrahim; Sergey P Primakov; Sanaz Samiei; Thiemo J A van Nijnatten; Maaike de Boer; Esther M Heuts; Frans-Jan Hulsmans; Avishek Chatterjee; Philippe Lambin; Marc B I Lobbes; Henry C Woodruff; Marjolein L Smidt
Journal:  Cancers (Basel)       Date:  2021-05-18       Impact factor: 6.639

  10 in total

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