{"doi":"10.3389/fonc.2022.841801","title":"Prostate Surface Distension and Tumor Texture Descriptors From Pre-Treatment MRI Are Associated With Biochemical Recurrence Following Radical Prostatectomy: Preliminary Findings","abstract":"Objective To derive and evaluate the association of prostate shape distension descriptors from T2-weighted MRI (T2WI) with prostate cancer (PCa) biochemical recurrence (BCR) post-radical prostatectomy (RP) independently and in conjunction with texture radiomics of PCa. Methods This retrospective study comprised 133 PCa patients from two institutions who underwent 3T-MRI prior to RP and were followed up with PSA measurements for ≥3 years. A 3D shape atlas-based approach was adopted to derive prostate shape distension descriptors from T2WI, and these descriptors were used to train a random forest classifier ( C S ) to predict BCR. Texture radiomics was derived within PCa regions of interest from T2WI and ADC maps, and another machine learning classifier ( C R ) was trained for BCR. An integrated classifier C S + R was then trained using predictions from C S and C R . These models were trained on D 1 ( N = 71, 27 BCR+) and evaluated on independent hold-out set D 2 ( N = 62, 12 BCR+). C S + R was compared against pre-RP, post-RP clinical variables, and extant nomograms for BCR-free survival (bFS) at 3 years. Results C S + R resulted in a higher AUC (0.75) compared to C R (0.70, p = 0.04) and C S (0.69, p = 0.01) on D 2 in predicting BCR. On univariable analysis, C S + R achieved a higher hazard ratio (2.89, 95% CI 0.35–12.81, p < 0.01) compared to other pre-RP clinical variables for bFS. C S + R , pathologic Gleason grade, extraprostatic extension, and positive surgical margins were associated with bFS ( p < 0.05). C S + R resulted in a higher C-index (0.76 ± 0.06) compared to CAPRA (0.69 ± 0.09, p < 0.01) and Decipher risk (0.59 ± 0.06, p < 0.01); however, it was comparable to post-RP CAPRA-S (0.75 ± 0.02, p = 0.07). Conclusions Radiomic shape descriptors quantifying prostate surface distension complement texture radiomics of prostate cancer on MRI and result in an improved association with biochemical recurrence post-radical prostatectomy.","journal":"Frontiers in Oncology","year":2022,"id":254366,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":21,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.5954,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":686416,"name":"Soumya Ghose","orcid":"0000-0002-2730-1482","position":1,"is_corresponding":false},{"id":318034,"name":"Amr Mahran","orcid":"0000-0001-7586-0046","position":2,"is_corresponding":false},{"id":318030,"name":"Lin Li","orcid":"0000-0003-4196-5813","position":3,"is_corresponding":false},{"id":901454,"name":"Isaac Hubbard","orcid":null,"position":4,"is_corresponding":false},{"id":264731,"name":"Pingfu Fu","orcid":"0000-0002-2334-5218","position":5,"is_corresponding":false},{"id":318033,"name":"Sree Harsha Tirumani","orcid":"0000-0002-5288-8916","position":6,"is_corresponding":false},{"id":318041,"name":"Lee Ponsky","orcid":"0000-0002-1252-3285","position":7,"is_corresponding":false},{"id":318043,"name":"Andrei S. Purysko","orcid":"0000-0002-6888-0417","position":8,"is_corresponding":false},{"id":237305,"name":"Anant Madabhushi","orcid":"0000-0002-5741-0399","position":9,"is_corresponding":false},{"id":318031,"name":"Rakesh Shiradkar","orcid":"0000-0003-2852-3869","position":0,"is_corresponding":true}],"reference_count":52,"raw_metadata":null,"created_at":"2026-07-19T00:25:03.918844Z","pmid":"35669420","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}