Gettman, Matthew T.

Abstract Skeletal muscle is a major determinant of functional status. The impact of advanced prostate cancer (aPC) systemic therapies on body composition is unknown. We identified aPC patients with serial PET-CTs receiving androgen deprivation therapy (ADT), androgen receptor pathway inhibitors (ARPI), chemotherapy, and/or Lutetium-177. An artificial intelligence algorithm quantified body composition changes from PET-CT images. Linear mixed effects models examined body composition changes over time by treatment type. The algorithm examined 2,342 PET-CTs from 468 patients. On multivariable analysis, ADT was associated with a 9% reduction in muscle density (-1.91 Hounsfield units), ARPIs an additional 6% (-1.4 Hounsfield units), and Lutetium-177 a subsequent 6% (-1.3 Hounsfield units), demonstrating progressive reduction in muscle density across later stages of systemic therapy. This large longitudinal analysis of body composition in aPC patients supports the use of an automated PET-CT algorithm to identify aPC patients on systemic therapy at risk for muscle wasting.

A systematic clinical approach is required for the diagnosis and management of renal and ureteral stones. The presenting symptoms, past medical history, medications, and physical examination all provide clues to the diagnosis of urinary stones. In the acute setting, noncontrast helical computerized tomography has emerged as the first line imaging test for renal colic. More traditional imaging tests are also important in the management of stone disease. After making the diagnosis of a urinary stone, the urologist should discuss the advantages and disadvantages of all treatment options with the patient. For most stone patients today, many equally effective treatment approaches can exist for the same problem. To help direct surgical management, guidelines for stone management have been devised. With technologic advances, stone treatment has improved and complications have decreased. While patient care has been significantly impacted by use of effective endourologic techniques, patients should complete imaging tests following surgery to assure a stone-free state. In addition, recurrent stone formers should complete a medical stone evaluation to identify treatable causes of their stones.

BACKGROUND: The creation of operative reports is a tedious documentation task that increases administrative burden, which is a potential driver of burnout. Additionally, operative reports are inherently subjective and may contain inaccuracies and incomplete information. Recent advances in artificial intelligence (AI) technology have enabled computer vision systems to accurately detect operative steps on surgical video. We aim to develop a platform for the automated creation of video-based AI surgical operative reports in robotic-assisted radical prostatectomy. STUDY DESIGN: An AI computer vision algorithm was used to automatically detect surgical steps. Each step detected on video was mapped to prespecified text, which was then compiled into a narrative AI operative report. The accuracy of the AI operative reports was compared with operative reports written by surgeons, using expert review of raw surgical video footage as the ground truth. RESULTS: A total of 158 cases from a tertiary referral center were included. In surgeon operative reports, 84 cases (53.2%) had at least 1 discrepancy between the operative report and surgical video. Of these, 43 cases (27.2%) had a clinically significant discrepancy based on expert video review. In AI operative reports, 46 cases (29.1%) had at least 1 discrepancy between the operative report and surgical video. Of these, 20 cases (12.7%) had a clinically significant discrepancy. Overall accuracy was higher for AI operative reports compared with surgeon operative reports (87.3% vs 72.8%, p = 0.001). CONCLUSIONS: Operative reports created by AI achieved higher accuracy than those written by surgeons. To our knowledge, this is the first report of automated video-based AI surgical documentation. Future studies are warranted to explore the potential for this novel tool to reduce documentation burden, improve operative report accuracy, promote surgical transparency, and decrease subjectivity in surgical documentation.

Introduction: Non-invasive assays are needed to better discriminate patients with prostate cancer (PCa) to avoid over-treatment of indolent disease. We analyzed 14 methylated DNA markers (MDMs) from urine samples of patients with biopsy-proven PCa relative to healthy controls and further studied discrimination of clinically significant PCa (csPCa) from healthy controls and Gleason 6 cancers. Methods: To evaluate the panel, urine from 24 healthy male volunteers with no clinical suspicion for PCa and 24 men with biopsy-confirmed disease across all Gleason scores was collected. Blinded to clinical status, DNA from the supernatant was analyzed for methylation signal within specific DNA sequences across 14 genes (HES5, ZNF655, ITPRIPL1, MAX.chr3.6187, SLCO3A1, CHST11, SERPINB9, WNT3A, KCNB2, GAS6, AKR1B1, MAX.chr3.8028, GRASP, ST6GALNAC2) by target enrichment long-probe quantitative-amplified signal assays. Results: Utilizing an overall specificity cut-off of 100% for discriminating normal controls from PCa cases across the MDM panel resulted in 71% sensitivity (95% CI: 49–87%) for PCa detection (4/7 Gleason 6, 8/12 Gleason 7, 5/5 Gleason 8+) and 76% (50–92%) for csPCa (Gleason ≥ 7). At 100% specificity for controls and Gleason 6 patients combined, MDM panel sensitivity was 59% (33–81%) for csPCa (5/12 Gleason 7, 5/5 Gleason 8+). Conclusions: MDMs assayed in urine offer high sensitivity and specificity for detection of clinically significant prostate cancer. Prospective evaluation is necessary to estimate discrimination of patients as first-line screening and as an adjunct to prostate-specific antigen (PSA) testing.

Abstract Introduction: Screening for prostate cancer (PCa) with molecular markers is hindered by low tumor allele fraction (TAF) in liquid biopsy samples such as blood or urine. Others have suggested that tumor allele enrichment can be achieved by evaluating fragment-level methylation patterns generated by next generation sequencing (NGS). Here, we test this concept using target capture NGS on cfDNA from prediagnostic collected urine samples to discriminate PCa from otherwise healthy men. Methods: Buffered urines were collected from 23 patients with biopsy confirmed PCa (Gleason score 6-9) and 24 otherwise healthy age matched cancer-free controls. cfDNA was isolated and enzymatic methyl-seq libraries were prepared and enriched by hybrid capture using probes mapping to 197 differentially methylated regions (DMRs) from a previous PCa/normal tissue marker discovery study in our lab. These DMRs were subsequently vetted independently using a methylome-wide dataset from a cohort of 36 clean and disease control urines to ensure low non-cancer background signal (<1%). Indexed libraries were sequenced at 560X deduplicated coverage and fragment-level CpG methylation information was extracted from individual sample .bam files. Mapped sequencing reads exhibiting concordant methylation were used to derive a quantitative α-score. Reads had to contain at minimum 5 CpGs and have an α-value (% 5mC per read) > 60%. Positivity for the 197 markers required an α-score greater than 6 sigma (σ) above the mean of the control arm. Values were variance-adjusted to ensure equal weighting. Beta (β) analysis (mean % 5mC across all reads) of the data was also performed for comparison. Results: Of the 197 markers, 187 were positive for one or more PCa patients. Tumor-derived fragments were detected in 22 of 23 cases, which included 8 G-6, 9 G-7, 2 G-8, and 3 G-9 patients. 1 G-7 was missed, however the sequencing coverage for this sample was significantly lower than the others due to poor library enrichment. 2 of the 24 healthy controls were positive, one with extremely high fragment counts. Upon re-review of the full control cohort, this patient had been diagnosed with bladder cancer 2 years after urine collection. The 2nd patient had was diagnosed with lung cancer in a similar timeframe. The other 22 confirmed cancer-free controls had α-scores below the 6σ threshold. Using a co-captured reference gene (B3GALT6) to mimic genomic equivalents, the TAFs ranged from 0.015% to 8%. β analysis of the data detected only 13 PCa patients (>6σ) and marker positivity was lower than the fragment-level approach. Conclusion: Target capture NGS coupled with fragment-level analysis is a rational approach for sensitive and specific detection of low tumor-derived DNA in liquid biopsy samples. For PCa assay in urine, we were able to uncover positivity in cancer patients approaching 1 in 10,000 ctDNA dilution levels. These results warrant further validation studies with this and other cancers. Citation Format: Tibor Bedekovics, William R. Taylor, Zhifu Sun, Saurabh Baheti, Xiaoming Cao, Kelli N. Burger, Karen A. Doering, Patrick H. Foote, Benjamin Gochanour, Douglas, W. Mahoney, Matthew T. Gettman, John B. Kisiel. Detection of prostate cancer in urine by fragment-level DNA methylation analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2424.

Abstract Objective: Upper tract urothelial cancers (UTUC) can be difficult to characterize, and non-invasive surveillance tools are lacking. UTUC are often treated with nephroureterectomy (NU). To address these gaps, we sought to discover and validate methylated DNA markers (MDMs) for detection of UTUC. Methods: Archival formalin fixed paraffin embedded (FFPE) tissue samples from NU were pathologically reviewed and punched prior to DNA extraction. Reduced representation bisulfite sequencing (RRBS) was used to identify candidate MDMs that discriminated between UTUC and age-balanced control urothelial tissues (uninvolved ureter/renal pelvic of renal cell carcinoma at radical nephrectomy). Highest ranked (fold-change and p-value) candidate MDMs were biologically validated by quantitative methylation specific PCR in a 2nd independent set of UTUC and age-balanced controls. DNA from healthy donor urine and buffy coat samples was used to assess MDM background signal. Discrimination between UTUC and controls was assessed as the area under the receiver operator characteristic curve (AUC) with corresponding 95% confidence intervals. Results: RRBS assessed 33 UTUC and 26 ureter/renal pelvis controls. 3.01 x 106 CpGs mapped to the reference genome with at least 10X read depth. From 358 candidates, 20 MDMs were selected for biological validation in independent patient samples which included 20 renal pelvis & 16 ureter UTUC and 17 renal pelvis & 15 ureter control specimens. Of UTUC and control patients, 36% and 65% of were men, respectively. Median AUC for comparison of UTUC vs control tissue was 0.87 (IQR 0.81-0.88); AUCs with corresponding 95% CIs are shown for the 10 most accurate MDMs (Table) across all control types. Conclusion: We report discovery and validation of highly sensitive and specific MDMs with potential for accurate non-invasive screening supported by low background in urine and blood. AUCs (95% CI) for selected methylated DNA markers for UTUC vs control tissue, urine, and blood UTUC vs Marker Control Tissue Control Urine Control Buffy C2orf55 0.92 (0.84-1) 0.93 (0.87-1) 0.96 (0.91-1) ANKRD35 0.91 (0.84-0.99) 0.93 (0.86-1) 0.98 (0.94-1) DLX6 0.91 (0.84-0.98) 0.78 (0.66-0.9) 0.97 (0.93-1) Chr8.9998 0.90 (0.82-0.97) 0.91 (0.84-0.97) 0.98 (0.96-1) SP9 0.88 (0.8-0.97) 0.95 (0.9-1) 0.99 (0.98-1) Chr13.1127 0.88 (0.8-0.97) 0.94 (0.89-1) 0.92 (0.85-1) Septin9.r2 0.88 (0.79-0.97) 0.95 (0.88-1) 0.98 (0.94-1) LBX2 0.88 (0.79-0.97) 0.94 (0.88-1) 0.96 (0.91-1) SIM2.r1 0.88 (0.79-0.97) 0.91 (0.82-1) 0.94 (0.86-1) Chr14.1037 0.88 (0.78-0.97) 0.93 (0.85-1) 0.96 (0.9-1) Citation Format: Ojas Bhagra, William R. Taylor, Benjamin R. Gochanour, Patrick H. Foote, Calise K. Berger, Xiaoming Cao, Douglas W. Mahoney, Sara S. Then, Anna M. Gonser, Karen A. Doering, Kelli N. Burger, John C. Cheville, Matthew T. Gettman, John B. Kisiel. Discovery and validation of methylated DNA markers of upper tract urothelial tract cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3349.

5091 Background: Controversy surrounding prostate-specific antigen (PSA) based screening for prostate cancer (PCa) highlights the need for non-invasive assays that better discriminate patients with and without clinically significant prostate cancer (csPCa). Such distinction avoids overtreatment in patients with absent or indolent disease while capturing pathology that would derive benefit from intervention. We analyzed the presence of specific methylated DNA markers (MDMs) within urine samples of patients with biopsy proven PCa and assessed the ability to discriminate these patients from healthy controls with no clinical suspicion for PCa. Methods: 24 healthy volunteers with no clinical suspicion for PCa were age-matched to 24 patients with biopsy-confirmed disease across all Gleason scores. Urine collected from subjects was centrifuged with the cell-free supernatant analyzed in a blinded fashion for methylation signal within specific DNA sequences across 14 genes ( HES5, ZNF655, ITPRIPL1, MAX.chr3.193, SLCO3A1, CHST11, SERPINB9, WNT3A, KCNB2, GAS6, AKR1B1, MAX.chr3.727, GRASP, ST6GALNAC2) by target enrichment long-probe quantitative-amplified signal assays. A patient was considered to have a positive MDM panel if any individual marker exceeded the corresponding100% specificity cut-off value (overall MDM panel specificity of 100%). MDM panel positivity was used to evaluate the sensitivity for distinguishing patients with PCa (any Gleason score) from controls as well as discriminate csPCa cancers from PCa Gleason 6. Results: Median age of healthy controls and PCa patients was 70 years (IQR 67-72) and 65 years (IQR 61-71), respectively. Median PSA was 6.4 (IQR 4.9-9.0) among PCa patients, including median PSA of 5 (IQR 4.0-6.1) for Gleason 6, and 7.8 (IQR 5.1-9.2) for Gleason ≥7 disease. Gleason 6, Gleason 7, and Gleason 8+ cancer was noted in 8, 10, and 6 patients, respectively. Utilizing an overall specificity cut-off of 100% for discriminating normal controls from PCa cases across the MDM panel revealed an overall sensitivity of 83% (95% CI: 63-95%) for detection of PCa (6 of 8 Gleason 6, 9 of 10 Gleason 7, 5 of 6 Gleason 8+) and 88% (95% CI: 62-98%) for csPCa (Gleason ≥ 7). When considering a 100% specificity threshold for controls and Gleason 6 patients, the sensitivity the MDM panel was 69% (95% CI: 41-89%) for csPCa (6 of 10 Gleason 7, 5 of 6 Gleason 8+). Conclusions: We describe a panel of 14 MDMs within urine that offer high specificity and sensitivity for detection of prostate cancers as well as selective identification of clinically significant disease states. Prospective comparison between urine MDMs and PSA blood testing is necessary to discern the differential clinical impact of each screening methodology.

Objectives: To characterize 30-day morbidity of upper ureteral reconstruction (UUR) and lower ureteral reconstruction (LUR) surgery by comparing open and minimally invasive surgery (MIS) approaches using a national surgical outcomes registry. Methods: The American College of Surgeons National Surgical Quality Improvement Program database was reviewed for patients who underwent UUR and LUR between 2007 and 2017. Primary endpoints included 30-day complications, transfusion, readmission, return to operating room (ROR), and prolonged postoperative length of stay (LOS). Multivariable logistic regression was performed to observe the association of MIS approach on 30-day outcomes. Results: Three thousand forty-two patients were identified with 2116 undergoing UUR and 926 undergoing LUR. Of 2116 patients undergoing UUR, 1733 (82%) were performed through an MIS approach. On multivariable analysis, open approach for UUR was associated with increased odds of any 30-day complication (odds ratio (OR) 1.6 [1.1–2.4]; p = 0.014), major complication (OR 1.8 [1.04–3.0]; p = 0.034), transfusion (OR 3.7 [1.2–11.5]; p = 0.025), ROR (OR 2.0 [1.0–3.9]; p = 0.047), and prolonged LOS (OR 5.4 [3.9–7.6]; p < 0.001). Of the 926 patients undergoing LUR, 458 (49%) were performed through an MIS approach. On multivariable analysis, open approach for LUR was associated with increased odds of any 30-day complication (OR 1.5 [1.1–2.1]; p = 0.028), minor complication (OR 1.7 [1.1–2.6]; p = 0.02), transfusion (OR 8.1 [2.7–23.7]; p < 0.001), and prolonged LOS (OR 4.2 [2.4–7.3]; p < 0.001). Conclusion: Utilization of a national surgical database revealed an open approach was associated with increased 30-day morbidity across multiple postoperative outcome measures. These findings suggest an MIS approach should be considered, when feasible, for upper and lower ureteral reconstruction.