{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:QGPAYUXF7JDGITOBNYTCQII57K","short_pith_number":"pith:QGPAYUXF","schema_version":"1.0","canonical_sha256":"819e0c52e5fa46644dc16e2628211dfa86f6647acd6c3009d869b1c6bb56379a","source":{"kind":"arxiv","id":"2201.06086","version":2},"attestation_state":"computed","paper":{"title":"Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Kudaibergen Abutalip, Mohammad Yaqub, Numan Saeed, Shahad Hardan","submitted_at":"2022-01-16T16:44:21Z","abstract_excerpt":"Glioblastoma is a common brain malignancy that tends to occur in older adults and is almost always lethal. The effectiveness of chemotherapy, being the standard treatment for most cancer types, can be improved if a particular genetic sequence in the tumor known as MGMT promoter is methylated. However, to identify the state of the MGMT promoter, the conventional approach is to perform a biopsy for genetic analysis, which is time and effort consuming. A couple of recent publications proposed a connection between the MGMT promoter state and the MRI scans of the tumor and hence suggested the use o"},"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":"2201.06086","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2022-01-16T16:44:21Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"74610d12e124c40bdf59bb16ef26fe771d02f4e618327bd585f0220d2825068c","abstract_canon_sha256":"696785ad2b85c4d2fd169c478df7619eec23810c459a40f56753e30b18bf8158"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:00:21.854072Z","signature_b64":"4t75myWBqnAIk8OhOJcb4SbIlwD7OeMjxIPK1ZmHaM1bGGCXjC5gNa5vOc58NHwVjBQQ0stB+/qb5az/TpG0AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"819e0c52e5fa46644dc16e2628211dfa86f6647acd6c3009d869b1c6bb56379a","last_reissued_at":"2026-07-05T04:00:21.853640Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:00:21.853640Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Kudaibergen Abutalip, Mohammad Yaqub, Numan Saeed, Shahad Hardan","submitted_at":"2022-01-16T16:44:21Z","abstract_excerpt":"Glioblastoma is a common brain malignancy that tends to occur in older adults and is almost always lethal. The effectiveness of chemotherapy, being the standard treatment for most cancer types, can be improved if a particular genetic sequence in the tumor known as MGMT promoter is methylated. However, to identify the state of the MGMT promoter, the conventional approach is to perform a biopsy for genetic analysis, which is time and effort consuming. A couple of recent publications proposed a connection between the MGMT promoter state and the MRI scans of the tumor and hence suggested the use o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.06086","kind":"arxiv","version":2},"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/2201.06086/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":"2201.06086","created_at":"2026-07-05T04:00:21.853697+00:00"},{"alias_kind":"arxiv_version","alias_value":"2201.06086v2","created_at":"2026-07-05T04:00:21.853697+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.06086","created_at":"2026-07-05T04:00:21.853697+00:00"},{"alias_kind":"pith_short_12","alias_value":"QGPAYUXF7JDG","created_at":"2026-07-05T04:00:21.853697+00:00"},{"alias_kind":"pith_short_16","alias_value":"QGPAYUXF7JDGITOB","created_at":"2026-07-05T04:00:21.853697+00:00"},{"alias_kind":"pith_short_8","alias_value":"QGPAYUXF","created_at":"2026-07-05T04:00:21.853697+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/QGPAYUXF7JDGITOBNYTCQII57K","json":"https://pith.science/pith/QGPAYUXF7JDGITOBNYTCQII57K.json","graph_json":"https://pith.science/api/pith-number/QGPAYUXF7JDGITOBNYTCQII57K/graph.json","events_json":"https://pith.science/api/pith-number/QGPAYUXF7JDGITOBNYTCQII57K/events.json","paper":"https://pith.science/paper/QGPAYUXF"},"agent_actions":{"view_html":"https://pith.science/pith/QGPAYUXF7JDGITOBNYTCQII57K","download_json":"https://pith.science/pith/QGPAYUXF7JDGITOBNYTCQII57K.json","view_paper":"https://pith.science/paper/QGPAYUXF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2201.06086&json=true","fetch_graph":"https://pith.science/api/pith-number/QGPAYUXF7JDGITOBNYTCQII57K/graph.json","fetch_events":"https://pith.science/api/pith-number/QGPAYUXF7JDGITOBNYTCQII57K/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QGPAYUXF7JDGITOBNYTCQII57K/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QGPAYUXF7JDGITOBNYTCQII57K/action/storage_attestation","attest_author":"https://pith.science/pith/QGPAYUXF7JDGITOBNYTCQII57K/action/author_attestation","sign_citation":"https://pith.science/pith/QGPAYUXF7JDGITOBNYTCQII57K/action/citation_signature","submit_replication":"https://pith.science/pith/QGPAYUXF7JDGITOBNYTCQII57K/action/replication_record"}},"created_at":"2026-07-05T04:00:21.853697+00:00","updated_at":"2026-07-05T04:00:21.853697+00:00"}