{"doi":"10.1016/j.ebiom.2020.103163","title":"A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI","abstract":"We developed and validated an integrated radiomic-clinicopathologic nomogram (RadClip) for post-surgical biochemical recurrence free survival (bRFS) and adverse pathology (AP) prediction in men with prostate cancer (PCa). RadClip was further compared against extant prognostics tools like CAPRA and Decipher. Methods: A retrospective study of 198 patients with PCa from four institutions who underwent pre-operative 3 Tesla MRI followed by radical prostatectomy, between 2009 and 2017 with a median 35-month follow-up was performed. Radiomic features were extracted from prostate cancer regions on bi-parametric magnetic resonance imaging (bpMRI). Cox Proportional-Hazards (CPH) model warped with minimum redundancy maximum relevance (MRMR) feature selection was employed to select bpMRI radiomic features for bRFS prediction in the training set (D 1 , N = 71). In addition, a bpMRI radiomic risk score (RadS) and associated nomogram, RadClip, were constructed in D 1 and then compared against the Decipher, pre-operative (CAPRA), and post-operative (CAPRA-S) nomograms for bRFS and AP prediction in the testing set (D 2 , N = 127). Findings: \"RadClip yielded a higher C-index (0.77, 95% CI 0.65-0.88) compared to CAPRA (0.68, 95% CI 0.57-0.8) and Decipher (0.51, 95% CI 0.33-0.69) and was found to be comparable to CAPRA-S (0.75, 95% CI 0.65-0.85). RadClip resulted in a higher AUC (0.71, 95% CI 0.62-0.81) for predicting AP compared to Decipher (0.66, 95% CI 0.56-0.77) and CAPRA (0.69, 95% CI 0.59-0.79).\" Interpretation: RadClip was more prognostic of bRFS and AP compared to Decipher and CAPRA. It could help pre-operatively identify PCa patients at low risk of biochemical recurrence and AP and who therefore might defer additional therapy.","journal":"EBioMedicine","year":2020,"id":60318,"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":63,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.575,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":318031,"name":"Rakesh Shiradkar","orcid":"0000-0003-2852-3869","position":1,"is_corresponding":false},{"id":313926,"name":"Patrick Leo","orcid":"0000-0002-2248-0610","position":2,"is_corresponding":false},{"id":318032,"name":"Ahmad Algohary","orcid":"0000-0003-1286-3164","position":3,"is_corresponding":false},{"id":264731,"name":"Pingfu Fu","orcid":"0000-0002-2334-5218","position":4,"is_corresponding":false},{"id":318033,"name":"Sree Harsha Tirumani","orcid":"0000-0002-5288-8916","position":5,"is_corresponding":false},{"id":318034,"name":"Amr Mahran","orcid":"0000-0001-7586-0046","position":6,"is_corresponding":false},{"id":318035,"name":"Christina Buzzy","orcid":"0000-0002-4518-9412","position":7,"is_corresponding":false},{"id":318036,"name":"Verena Carola Obmann","orcid":"0000-0001-6572-9968","position":8,"is_corresponding":false},{"id":318037,"name":"Bahar Mansoori","orcid":"0000-0003-4289-739X","position":9,"is_corresponding":false},{"id":319305,"name":"Ayah El‐Fahmawi","orcid":null,"position":10,"is_corresponding":false},{"id":318038,"name":"Mohammed Shahait","orcid":"0000-0003-2609-5629","position":11,"is_corresponding":false},{"id":72996,"name":"Ashutosh Tewari","orcid":"0000-0002-3146-4524","position":12,"is_corresponding":false},{"id":318039,"name":"Cristina Magi‐Galluzzi","orcid":"0000-0003-1219-3797","position":13,"is_corresponding":false},{"id":318040,"name":"David I. Lee","orcid":"0000-0003-2133-9284","position":14,"is_corresponding":false},{"id":313931,"name":"Priti Lal","orcid":"0000-0003-2193-9968","position":15,"is_corresponding":false},{"id":318041,"name":"Lee Ponsky","orcid":"0000-0002-1252-3285","position":16,"is_corresponding":false},{"id":318042,"name":"Eric A. Klein","orcid":"0000-0002-1783-0698","position":17,"is_corresponding":false},{"id":318043,"name":"Andrei S. Purysko","orcid":"0000-0002-6888-0417","position":18,"is_corresponding":false},{"id":237305,"name":"Anant Madabhushi","orcid":"0000-0002-5741-0399","position":19,"is_corresponding":false},{"id":318030,"name":"Lin Li","orcid":"0000-0003-4196-5813","position":0,"is_corresponding":true}],"reference_count":45,"raw_metadata":null,"created_at":"2026-07-18T21:08:47.852401Z","pmid":"33321450","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":[]}