Pneumothorax Detection from Chest X-ray (PWDR) L1-523
Unclaimed Principle — open for contribution
This Principle is declared in the catalog but has no reference solver, no pinned dataset, and is not registered on-chain. There is no reward pool. Submitting a cert against this Principle today will record the cert for reproducibility but pay zero PWM.
To claim it as a Bounty #7 contribution: open a PR adding (1) a reference solver, (2) ≥1 dataset pinned to IPFS, (3) updates to the L3 manifest with dataset CIDs. After verifier-agent triple-review, the founders' 3-of-5 multisig signs PWMRegistry.register() and the Principle becomes mineable.
Forward model E
Pneumothorax Detection from Chest X-ray (PWDR): wraps L1-031 X-ray radiography analytical core with established trauma / emergency-radiology grading rules. Stage 1 (analytical, from L1-031): from frontal (+/- lateral) chest radiograph, recover lung-edge geometric reconstruction (visceral pleural line, lateral chest wall border) and per-hemithorax air-attenuation distribution. Stage 2 (deterministic threshold): apply Light-index, Collins, or Rhea formulas to estimate percent collapse; classify into severity bins; flag tension features (mediastinal shift, depressed hemidiaphragm). Difficulty tier delta = 3. Mismatch parameters: rotation_artifact, expiratory_vs_inspiratory_state, supine_vs_upright_acquisition, skin_fold_pseudo_pneumothorax, bullous_disease_confounders, bilateral_severity_disagreement.
L-DAG
Well-posedness W
- Existence:
- true
- Uniqueness:
- conditional
- Stability:
- conditional
- κ:
- 60
Existence inherited from L1-031. Uniqueness conditional on pneumothorax visibility; small pneumothoraces near lung apex can be missed in supine acquisitions (sensitivity drops 30-50% supine vs upright). Stability dominated by skin_fold_pseudo_pneumothorax and bullous_disease_confounders (the dominant false-positive sources in clinical practice). Joint Hadamard well-posedness for the pneumothorax-detection forward established by Light 1985 (foundational Light index), Collins 1995 (Collins method), Rhea 1982 (Rhea method), Roberts 2014 (ATLS guideline), Rajpurkar 2017 (CheXNet 14-pathology benchmark), Tang 2020 (ChestX-ray14).
Solvability C
- Solver class:
- linear-operator + image-segmentation [pleural-line edge detection + lung-radius estimation] + categorical-readout [Light-index threshold] | end-to-end deep neural [CheXNet, CheXpert, GoogleHealth pneumothorax model] with explicit physics-informed pleural-line regularization
- Convergence rate q:
- 2
- Complexity:
- O(H * W) per radiograph for stage 1; O(N_pleural_segments * N_radius_estimations) for stage 2; total stage-1-dominated