Publications by authors named "Abhinav Khanna"

Video-based educational programs offer a promising avenue to augment surgical preparation, allow for targeted feedback delivery, and facilitate surgical coaching. Recently, developments in surgical intelligence and computer vision have allowed for automated video annotation and organization, drastically decreasing the manual workload required to implement video-based educational programs. In this article, we outline the development of a novel AI-assisted video forum and describe the early use in surgical education at our institution.

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Objective: To compare the predictive ability of the modified Frailty Index (mFI) and the revised Risk Analysis Index (RAI-Rev) for perioperative outcomes in patients undergoing major urologic oncologic surgery, aiming to identify the optimal frailty screening tool for surgical risk stratification.

Methods: NSQIP was queried to identify patients undergoing radical prostatectomy, partial or radical nephrectomy, or radical cystectomy between 2013 and 2017. We investigated the association of mFI and RAI-Rev with the following 30-day perioperative outcomes using multivariable logistic regression: major complications, Clavien grade ≥4 complications, non-home discharge, 30-day readmission, and all-cause mortality.

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Background: Retained surgical items (RSI) are preventable events that pose a significant risk to patient safety. Current strategies for preventing RSIs rely heavily on manual instrument counting methods, which are prone to human error. This study evaluates the feasibility and performance of a deep learning-based computer vision model for automated surgical tool detection and counting.

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Purpose: AUA guidelines prioritize nephron sparing in patients with preexisting chronic kidney disease (CKD). However, few studies analyze long-term renal function in patients with preoperative severe CKD who undergo extirpative renal surgery. Herein, we compare the hazard of progression to end-stage kidney disease (ESKD) following partial nephrectomy (PN) and radical nephrectomy (RN) among patients with preoperative severe CKD.

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Purpose: The AUA guidelines introduced a new risk group stratification system based primarily on tumor stage and grade to guide surveillance for patients treated surgically for localized renal cell carcinoma (RCC). We sought to evaluate the predictive ability of these risk groups using progression-free survival (PFS) and cancer-specific survival (CSS), and to compare their performance to that of our published institutional risk models.

Materials And Methods: We queried our Nephrectomy Registry to identify adults treated with radical or partial nephrectomy for unilateral, M0, clear cell RCC, or papillary RCC from 1980 to 2012.

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Objective: Automated surgical step recognition (SSR) using AI has been a catalyst in the "digitization" of surgery. However, progress has been limited to laparoscopy, with relatively few SSR tools in endoscopic surgery. This study aimed to create a SSR model for transurethral resection of bladder tumors (TURBT), leveraging a novel application of transfer learning to reduce video dataset requirements.

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Objective: To investigate the optimal number of induction chemotherapy cycles needed to achieve a pathological response in patients with clinically lymph node-positive (cN+) bladder cancer (BCa) who received three or four cycles of induction chemotherapy followed by consolidative radical cystectomy (RC) with pelvic lymph node dissection.

Patients And Methods: We included 388 patients who received three or four cycles of cisplatin/gemcitabine or (dose-dense) methotrexate, vinblastine, doxorubicin, and cisplatin (MVAC), followed by consolidative RC for cTanyN1-3M0 BCa. We compared pathological complete (pCR = ypT0N0) and objective response (pOR = yp ≤T1N0) between treatment groups.

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Purpose: The widespread use of minimally invasive surgery generates vast amounts of potentially useful data in the form of surgical video. However, raw video footage is often unstructured and unlabeled, thereby limiting its use. We developed a novel computer-vision algorithm for automated identification and labeling of surgical steps during robotic-assisted radical prostatectomy (RARP).

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Robotic-assisted radical prostatectomy (RARP) has become the leading approach for radical prostatectomy driven by innovations aimed at improving functional and oncological outcomes. The initial advancement in this field was transperitoneal multiport robotics, which has since undergone numerous technical modifications. These enhancements include the development of extraperitoneal, transperineal, and transvesical approaches to radical prostatectomy, greatly facilitated by the advent of the Single Port (SP) robot.

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Introduction: Variant histology (VH) bladder cancer is often associated with poor outcomes and the role of neoadjuvant chemotherapy (NAC) remains incompletely defined. Our objective was to determine comparative pathologic downstaging at radical cystectomy (RC) following NAC for patients with and without VH.

Patients And Methods: Patients who underwent RC at 2 tertiary referral centers (1996-2018) were included.

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Objective: To report peri-operative outcomes of a contemporary series of bladder cancer patients undergoing radical cystectomy (RC) with cutaneous ureterostomy (CU) urinary diversion at a tertiary referral center.

Methods: We retrospectively identified patients who underwent RC with CU at Mayo Clinic between 2016 and 2021. Clinicopathologic and perioperative characteristics were analyzed using standard descriptive statistics.

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Background: Immune checkpoint inhibitors (ICIs) are now a mainstay of metastatic renal cell carcinoma (RCC) management with five current Food and Drug Administration-approved regimens. However, data regarding nephrectomy outcomes following an ICI are limited.

Objective: To evaluate the safety and outcomes of nephrectomy following an ICI.

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The aim of this study is to investigate the use of an exponential-plateau model to determine the required training dataset size that yields the maximum medical image segmentation performance. CT and MR images of patients with renal tumors acquired between 1997 and 2017 were retrospectively collected from our nephrectomy registry. Modality-based datasets of 50, 100, 150, 200, 250, and 300 images were assembled to train models with an 80-20 training-validation split evaluated against 50 randomly held out test set images.

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Purpose: The KEYNOTE-564 trial demonstrated that adjuvant pembrolizumab after nephrectomy for clear cell renal cell carcinoma decreased the risk of disease progression and potentially overall mortality as well. Herein, we used a Markov model to weigh the costs, toxicities, and efficacy of pembrolizumab to further investigate its utility.

Materials And Methods: Decision-analytic Markov modeling was used to conduct a cost-utility analysis of adjuvant pembrolizumab versus observation after nephrectomy for high-risk clear cell renal cell carcinoma, using data from KEYNOTE-564 to inform model probabilities.

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Objective: To compare renal functional outcomes, as determined by percent decline in estimated glomerular filtration rate (eGFR) and CKD stage progression following radical (RN) and partial nephrectomy (PN) stratified by preoperative CKD stage.

Materials And Methods: We retrospectively evaluated adults treated with RN or PN between 1980 and 2018 for unilateral, sporadic, solid renal masses. Multivariable linear models for percent change in eGFR (n = 3046) and competing-risk Cox proportional hazards models for increase in CKD staging (n = 5805) were used to determine if there was a significant interaction between type of surgery (RN vs PN) and preoperative CKD stage.

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Purpose: While lymph node dissection (LND) at radical cystectomy (RC) for muscle-invasive bladder cancer has been studied extensively, the role of LND for nonmuscle-invasive bladder cancer (NMIBC) remains incompletely defined. Herein, we aim to assess the association between extent of LND during RC for NMIBC and local pelvic recurrence-free survival (LPRS), cancer-specific survival (CSS) and overall survival (OS).

Materials And Methods: A multi-institutional retrospective review was performed of patients with NMIBC undergoing RC at 3 large tertiary referral centers.

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Purpose: Oncologic outcomes following urethral recurrence (UR) remain incompletely described, with reports limited by small cohort sizes. We evaluated risk factors for UR as well as cancer-specific survival (CSS) and overall survival (OS) among patients with UR.

Materials And Methods: We reviewed our institutional radical cystectomy (RC) registry to identify patients with UR.

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Objectives: To compare oncologic endpoints between open radical cystectomy (ORC) and robotic-assisted radical cystectomy with extracorporeal urinary diversion (eRARC) or intracorporeal urinary diversion (iRARC).

Materials And Methods: Retrospective review of all patients undergoing curative-intent radical cystectomy with urinary diversion for urothelial bladder cancer at a single-institution from 2010-2018. Primary outcomes included recurrence location and rates, recurrence-free (RFS) and overall survival (OS).

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Recent population-based studies suggest that the incidence of advanced and metastatic prostate cancer may be increasing. Concurrently with this apparent stage migration toward advanced disease, several major developments have occurred in the treatment paradigm for men with advanced prostate cancer. These include the US Food and Drug Administration approval of 8 novel agents over the last decade.

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Article Synopsis
  • The study aimed to evaluate long-term renal function after robot-assisted radical cystectomy (RARC) compared to open radical cystectomy and different urinary diversion methods.
  • Researchers analyzed data from 644 bladder cancer patients, finding no significant differences in kidney function decline among the surgical groups, with 33% developing chronic kidney disease stage 3B (CKD 3B).
  • Key predictors for CKD included advanced tumor stages and pre-existing kidney conditions, highlighting that renal function decline is a common outcome post-surgery.
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