Citations

Citations

If you use qradiomics in published work, please cite the relevant upstream papers.

Essential — any feature analysis

• PyRadiomics — van Griethuysen JJM, Fedorov A, Parmar C, et al. Computational Radiomics System to Decode the Radiographic Phenotype. Cancer Research 2017;77(21):e104–e107. doi:10.1158/0008-5472.CAN-17-0339
• NSCLC-Radiomics (TCIA LUNG1) — Aerts HJWL, Velazquez ER, Leijenaar RTH, et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nature Communications 2014;5:4006. doi:10.1038/ncomms5006

Lung-screening lineage (cite if you build on it)

• Choi WJ, Choi TS. Automated pulmonary nodule detection based on three-dimensional shape-based feature descriptor. CMPB 2014;113(1):37–54. doi:10.1016/j.cmpb.2013.08.015
• Choi W, Oh JH, Riyahi S, et al. Radiomics analysis of pulmonary nodules in low-dose CT for early detection of lung cancer. Medical Physics 2018;45(4):1537–1549. doi:10.1002/mp.12820
• Choi W, Nadeem S, Riyahi S, Deasy JO, Tannenbaum A, Lu W. Reproducible and Interpretable Spiculation Quantification for Lung Cancer Screening. CMPB 2021;200:105839. doi:10.1016/j.cmpb.2020.105839
• Choi W, Werner-Wasik M, Siglin J, et al. Heart Radiomics for the Early Detection of Cardiac Toxicity in Non–Small-Cell Lung Cancer. JCO Clinical Cancer Informatics 2024;8:e2300241. doi:10.1200/CCI.23.00241

Datasets

• LIDC-IDRI — Armato SG III, McLennan G, Bidaut L, et al. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. Medical Physics 2011;38(2):915–931. doi:10.1118/1.3528204
• LUNGx / SPIE-AAPM-NCI — Armato SG III, et al. SPIE-AAPM-NCI Lung Nodule Classification Challenge Dataset. TCIA, 2015.
• CIRDataset — Choi W, Dahiya N, Nadeem S. CIRDataset: clinically-interpretable radiomics paper-grade nodule masks. Zenodo doi:10.5281/zenodo.6762573; github.com/choilab-jefferson/CIR, github.com/nadeemlab/CIR.

Related projects

• CIR (Clinically-Interpretable Radiomics) — mesh-encoder NN + CIRDataset annotations. github.com/choilab-jefferson/CIR
• LungCancerScreeningRadiomics (LCSR) — the MATLAB pipeline this CLI ports. github.com/choilab-jefferson/LungCancerScreeningRadiomics

Authors

• Wookjin Choi — overall architecture, CLI design, pattern templates
• Pradeep Bhetwal — survival analysis on the LUNG1 cohort
• Choi Lab, Department of Radiation Oncology, Sidney Kimmel Medical College at Thomas Jefferson University