{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:6W3M3RUPYRNH3JXJ3WFYHNABAZ","short_pith_number":"pith:6W3M3RUP","schema_version":"1.0","canonical_sha256":"f5b6cdc68fc45a7da6e9dd8b83b4010645a657f925b8714db5ece23421a62407","source":{"kind":"arxiv","id":"2309.02562","version":1},"attestation_state":"computed","paper":{"title":"Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"David Hein, Gloria Lin, Jing Wang, Kai Wang, Nina N. Sanford, Shanshan Tang","submitted_at":"2023-09-05T20:22:26Z","abstract_excerpt":"Objectives: Approximately 30% of non-metastatic anal squamous cell carcinoma (ASCC) patients will experience recurrence after chemoradiotherapy (CRT), and currently available clinical variables are poor predictors of treatment response. We aimed to develop a model leveraging information extracted from radiation pretreatment planning CT to predict recurrence-free survival (RFS) in ASCC patients after CRT. Methods: Radiomics features were extracted from planning CT images of 96 ASCC patients. Following pre-feature selection, the optimal feature set was selected via step-forward feature selection"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2309.02562","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-05T20:22:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"696fab5b2c1e776bb272c7e0ac3d98d3075dc81397687e895e00f7a7a2843f83","abstract_canon_sha256":"7f0f380cd713f0ed2c85e680e399c9982941710b2fbfc2b5d458c4f1533b8e5d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:48:13.975900Z","signature_b64":"7wtS/ua2iCbN2UiRjChhTj5jxyJQBxsRUDUBujLWVjwIFbtscL2xDNR7wh4D5Jzza4F3+fHpfFOs2l6lBvc0CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f5b6cdc68fc45a7da6e9dd8b83b4010645a657f925b8714db5ece23421a62407","last_reissued_at":"2026-07-05T06:48:13.975497Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:48:13.975497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"David Hein, Gloria Lin, Jing Wang, Kai Wang, Nina N. Sanford, Shanshan Tang","submitted_at":"2023-09-05T20:22:26Z","abstract_excerpt":"Objectives: Approximately 30% of non-metastatic anal squamous cell carcinoma (ASCC) patients will experience recurrence after chemoradiotherapy (CRT), and currently available clinical variables are poor predictors of treatment response. We aimed to develop a model leveraging information extracted from radiation pretreatment planning CT to predict recurrence-free survival (RFS) in ASCC patients after CRT. Methods: Radiomics features were extracted from planning CT images of 96 ASCC patients. Following pre-feature selection, the optimal feature set was selected via step-forward feature selection"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.02562","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2309.02562/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2309.02562","created_at":"2026-07-05T06:48:13.975554+00:00"},{"alias_kind":"arxiv_version","alias_value":"2309.02562v1","created_at":"2026-07-05T06:48:13.975554+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.02562","created_at":"2026-07-05T06:48:13.975554+00:00"},{"alias_kind":"pith_short_12","alias_value":"6W3M3RUPYRNH","created_at":"2026-07-05T06:48:13.975554+00:00"},{"alias_kind":"pith_short_16","alias_value":"6W3M3RUPYRNH3JXJ","created_at":"2026-07-05T06:48:13.975554+00:00"},{"alias_kind":"pith_short_8","alias_value":"6W3M3RUP","created_at":"2026-07-05T06:48:13.975554+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6W3M3RUPYRNH3JXJ3WFYHNABAZ","json":"https://pith.science/pith/6W3M3RUPYRNH3JXJ3WFYHNABAZ.json","graph_json":"https://pith.science/api/pith-number/6W3M3RUPYRNH3JXJ3WFYHNABAZ/graph.json","events_json":"https://pith.science/api/pith-number/6W3M3RUPYRNH3JXJ3WFYHNABAZ/events.json","paper":"https://pith.science/paper/6W3M3RUP"},"agent_actions":{"view_html":"https://pith.science/pith/6W3M3RUPYRNH3JXJ3WFYHNABAZ","download_json":"https://pith.science/pith/6W3M3RUPYRNH3JXJ3WFYHNABAZ.json","view_paper":"https://pith.science/paper/6W3M3RUP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2309.02562&json=true","fetch_graph":"https://pith.science/api/pith-number/6W3M3RUPYRNH3JXJ3WFYHNABAZ/graph.json","fetch_events":"https://pith.science/api/pith-number/6W3M3RUPYRNH3JXJ3WFYHNABAZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6W3M3RUPYRNH3JXJ3WFYHNABAZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6W3M3RUPYRNH3JXJ3WFYHNABAZ/action/storage_attestation","attest_author":"https://pith.science/pith/6W3M3RUPYRNH3JXJ3WFYHNABAZ/action/author_attestation","sign_citation":"https://pith.science/pith/6W3M3RUPYRNH3JXJ3WFYHNABAZ/action/citation_signature","submit_replication":"https://pith.science/pith/6W3M3RUPYRNH3JXJ3WFYHNABAZ/action/replication_record"}},"created_at":"2026-07-05T06:48:13.975554+00:00","updated_at":"2026-07-05T06:48:13.975554+00:00"}