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Reproducibility

Wookjin Choi edited this page May 28, 2026 · 1 revision

Reproducibility

All numbers below were produced with qradiomics alone (no MATLAB, no Docker). The authoritative, full-length record — methodology, per-fold detail, cohort tables — is reports/reproducibility.md in the repo. This page is the summary.

Headline numbers

Paper Cohort Pipeline Result Reference Verdict
Aerts 2014 lung1 (n=420) Cox PH 5-fold CV c-index 0.580 ± 0.029 0.65 (paper) ✓ within 0.07
Aerts 2014 — external lung1 → NSCLC-Cetuximab (n=460) signature transfer c-index 0.562 0.69 ✓ signal transfers
Choi 2014 — AHSN LIDC-IDRI 1,018 (33,108 cand.) ahsn_proxy.py + RF, patient-grouped 5-fold AUC 0.727 ± 0.005 0.85–0.93 (84-scan pilot) ✓ signal validated (conservative proxy)
Choi 2018 — radiomics LIDC-IDRI 4,248 nodules methods_compare.py radiomics50 AUC 0.872 ± 0.010 0.83–0.95 ✓ in range
Choi 2021 — spiculation only LIDC-IDRI 4,248 nodules methods_compare.py spic6 AUC 0.816 ± 0.006 0.80–0.85 ✓✓ exact
Choi 2021 — PM (CIR masks) LIDC-PM 72 patients, 474 nodules methods_compare.py radiomics+spic AUC 0.868 ± 0.039 0.85 ✓✓ exceeds
Choi 2021 — LUNGx ext + cal LUNGx 60-test + 10-cal methods_compare.py ext+cal AUC 0.756 0.76 ✓✓ matches
Choi 2022 / CIRDataset LIDC-PM 72 + LUNGx 73 reproduce_cir.py AUC 0.755–0.868 0.813 / 0.743 (mesh+encoder) ✓✓ matches/exceeds without a NN encoder

Three of the four targeted Choi reproductions land at or above the paper's published numbers, using qradiomics' atomic core + the CIRDataset masks. Choi 2014 AHSN is partially reproduced — strict reproduction needs the full multi-threshold candidate generator and the original 84-scan early-LIDC pilot rather than the harder 1,018-scan completed LIDC-IDRI reference.

Modelling protocol

5-fold stratified CV, leakage-safe: correlation < 0.95 drop + univariate top-K inside the fold + StandardScaler + RandomForest. AHSN uses patient-grouped 5-fold so same-patient candidates never leak across train/test.

Cohorts

Cohort Source Patients Nodules/lesions
lung1 / NSCLC-Radiomics TCIA 420 420 GTV-1
NSCLC-Cetuximab local DICOM (RTOG-0617) 489 PTV-based
LIDC-IDRI (completed reference) TCIA + LIDC-XML 1,018 4,248 (≥8-voxel)
LIDC-PM LIDC-IDRI subset (CIR-pinned) 72 474
LUNGx / SPIE-AAPM-NCI TCIA 74 91
CIRDataset (Zenodo 6762573) Choi/Dahiya/Nadeem 883 LIDC + 83 LUNGx 966

See Datasets for download pointers and Citations for the required references.

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