4.6 Article

Independent Validation of the 2010 American Joint Committee on Cancer TNM Classification for Renal Cell Carcinoma: Results From a Large, Single Institution Cohort

Journal

JOURNAL OF UROLOGY
Volume 185, Issue 6, Pages 2035-2039

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.juro.2011.02.059

Keywords

kidney; carcinoma, renal cell; mortality; neoplasm staging; prognosis

Ask authors/readers for more resources

Purpose: In 2010 the American Joint Committee on Cancer updated the renal cell carcinoma TNM classification. Without independent validation of the new classification its predictive ability for cancer specific survival and generalizability remains unknown. In this setting we determined the predictive ability of the 2010 TNM classification compared to that of the 2002 classification. Materials and Methods: Using the nephrectomy registry at our institution we retrospectively reviewed the records of 3,996 patients with unilateral or bilateral synchronous renal cell carcinoma treated with radical nephrectomy or nephron sparing surgery between 1970 and 2006. Cancer specific survival was estimated using the Kaplan-Meier method and predictive ability was evaluated using the concordance index. Results: There were 1,165 deaths (29.1%) from renal cell carcinoma a median of 1.9 years after surgery compared to a median followup of 7.4 years for survivors. The estimated 10-year cancer specific survival rate was 96%, 80%, 66%, 55%, 36%, 26%, 25% and 12% for patients with 2010 primary tumor classifications of pT1a, pT1b, pT2a, pT2b, pT3a, pT3b, pT3c and pT4, respectively (p < 0.001). The multivariate concordance index for the 2002 and 2010 TNM classifications was 0.848 and 0.850, respectively. Conclusions: The new 2010 classification remains a robust predictor of cancer specific survival compared to the 2002 classification by dividing pT2 lesions into pT2a and pT2b, reclassifying ipsilateral adrenal involvement as pT4, reclassifying renal vein involvement as pT3a and simplifying nodal involvement as pN0 vs pN1. However, the 2010 TNM classification showed only modest improvement in predictive ability compared to the 2002 classification.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Health Care Sciences & Services

Social Media Coverage of Scientific Articles Immediately After Publication Predicts Subsequent Citations - #SoME_Impact Score: Observational Analysis

Niranjan Jude Sathianathen, Robert Lane, Declan G. Murphy, Stacy Loeb, Caitlin Bakker, Alastair D. Lamb, Christopher J. Weight

JOURNAL OF MEDICAL INTERNET RESEARCH (2020)

Article Urology & Nephrology

Acute Kidney Injury following Enhanced Recovery after Surgery in Patients Undergoing Radical Cystectomy

Peter T. Hanna, Matt Peterson, Jacob Albersheim, Paul Drawz, Joseph Zabell, Badrinath Konety, Christopher Weight

JOURNAL OF UROLOGY (2020)

Article Oncology

Primary chemoablation of low-grade upper tract urothelial carcinoma using UGN-101, a mitomycin-containing reverse thermal gel (OLYMPUS): an open-label, single-arm, phase 3 trial

Nir Kleinmann, Surena F. Matin, Phillip M. Pierorazio, John L. Gore, Ahmad Shabsigh, Brian Hu, Karim Chamie, Guilherme Godoy, Scott Hubosky, Marcelino Rivera, Michael O'Donnell, Marcus Quek, Jay D. Raman, John J. Knoedler, Douglas Scherr, Joshua Stern, Christopher Weight, Alon Weizer, Michael Woods, Hristos Kaimakliotis, Angela B. Smith, Jennifer Linehan, Jonathan Coleman, Mitchell R. Humphreys, Raymond Pak, David Lifshitz, Michael Verni, Mehrad Adibi, Mahul B. Amin, Elyse Seltzer, Ifat Klein, Marina Konorty, Dalit Strauss-Ayali, Gil Hakim, Mark Schoenberg, Seth P. Lerner

LANCET ONCOLOGY (2020)

Correction Urology & Nephrology

Early Online Attention Can Predict Citation Counts for Urological Publications: The #UroSoMe_Score (vol 6, pg 458, 2020)

Niranjan J. Sathianathen, Isaac Thangasamy, Robert Lane, Benjamin Condon, Declan G. Murphy, Nathan Lawrentschuk, Christopher J. Weight, Alastair D. Lamb

EUROPEAN UROLOGY FOCUS (2021)

Article Urology & Nephrology

Enhanced recovery after surgery (ERAS) following radical cystectomy: is it worth implementing for all patients?

Peter Hanna, Joseph Zabell, Yasser Osman, Mohamed M. Hussein, Magdy Mostafa, Christopher Weight, Badrinath Konety

Summary: This study found that implementing the ERAS protocol in patients undergoing radical cystectomy can significantly improve gastrointestinal recovery, especially for low-risk patients. However, ERAS did not reduce the length of hospital stay or readmission rates.

WORLD JOURNAL OF UROLOGY (2021)

Article Computer Science, Artificial Intelligence

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge

Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zach Edgerton, Ranveer Vasdev, Matthew Peterson, Sean McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Nikolaos Papanikolopoulos, Christopher Weight

Summary: The anatomic and geometric characteristics of kidney tumors have significant impact on surgical and oncologic outcomes. Deep learning methods have shown promising results in automatic 3D segmentations, but there is still debate on the best approach. The KiTS19 challenge provided a platform for researchers worldwide to develop automated systems for kidney and tumor segmentation using a large dataset of CT images.

MEDICAL IMAGE ANALYSIS (2021)

Article Chemistry, Analytical

Comprehensive Analysis of DNA Adducts Using Data-Independent wSIM/MS2 Acquisition and wSIM-City

Scott J. Walmsley, Jingshu Guo, Paari Murugan, Christopher J. Weight, Jinhua Wang, Peter W. Villalta, Robert J. Turesky

Summary: The novel software is designed for comprehensive analysis and characterization of DNA modifications in human specimens, detecting DNA adducts at trace levels. The software processes mass spectral data acquired by wide selected ion monitoring (wSIM) coupled with wide MS2 fragmentation.

ANALYTICAL CHEMISTRY (2021)

Article Urology & Nephrology

Alvimopan as part of the Enhanced Recovery After Surgery protocol following radical cystectomy is associated with decreased hospital stay

Peter Hanna, Subodh Regmi, Arveen Kalapara, Kalyana Srujana Mulpuri, Joseph Zabell, Jacob Albersheim, Joyce Wahr, Darrel Randle, Alexander Kaizer, Luke Patten, Badrinath Konety, Christopher Weight

Summary: The study retrospectively analyzed 296 patients undergoing radical cystectomy, showing significant effects of Enhanced Recovery After Surgery protocol and alvimopan on length of hospital stay, gastrointestinal recovery time, and postoperative ileus rate. Particularly, alvimopan had the most obvious impact when used with an open surgical approach, while no significant difference was observed with robotic-assisted surgery.

INTERNATIONAL JOURNAL OF UROLOGY (2021)

Editorial Material Urology & Nephrology

Impact of Preoperative Immunonutrition on Perioperative Outcomes following Cystectomy

[Anonymous]

JOURNAL OF UROLOGY (2021)

Article Urology & Nephrology

Computer-Generated RENAL Nephrometry Scores Yield Comparable Predictive Results to Those of Human-Expert Scores in Predicting Oncologic and Perioperative Outcomes

N. Heller, R. Tejpaul, F. Isensee, T. Benidir, M. Hofmann, P. Blake, Z. Rengal, K. Moore, N. Sathianathen, A. Kalapara, J. Rosenberg, S. Peterson, E. Walczak, A. Kutikov, R. G. Uzzo, D. A. Palacios, E. M. Remer, S. C. Campbell, N. Papanikolopoulos, Christopher J. Weight

Summary: The purpose of this study was to develop an artificial intelligence algorithm for automated scoring of R.E.N.A.L. nephrometry scores and evaluate its predictive ability for oncologic and perioperative outcomes. The results showed that AI-scores were comparable to H-scores and predicted a wide variety of meaningful patient outcomes.

JOURNAL OF UROLOGY (2022)

Article Urology & Nephrology

Illeal conduit associated parastomal hernias: A novel laparoscopic top hat repair

Isaac M. Melin, Sergio M. Navarro, Jacob Albersheim, Khushabu Kasabwala, Christopher Weight, James V. Harmon

Summary: Parastomal hernias are a common complication following ileal conduit urinary diversion. This case report demonstrates successful laparoscopic repair using an inverted top-hat technique in a woman in her mid-nineties, resulting in a pain-free patient without evidence of hernia recurrence at eighteen months follow-up.

UROLOGY CASE REPORTS (2021)

Review Chemistry, Medicinal

The Cooked Meat Carcinogen 2-Amino-1-methyl-6-phenylimidazo[4,5-b]pyridine Hair Dosimeter, DNA Adductomics Discovery, and Associations with Prostate Cancer Pathology Biomarkers

Jingshu Guo, Joseph S. Koopmeiners, Scott J. Walmsley, Peter W. Villalta, Lihua Yao, Paari Murugan, Resha Tejpaul, Christopher J. Weight, Robert J. Turesky

Summary: Well-done cooked red meat consumption is associated with aggressive prostate cancer risk. This study measured the levels of PhIP, a potential carcinogen found in cooked meat, in the hair of prostate cancer patients and analyzed the correlation with prostate pathology biomarkers and Gleason scores.

CHEMICAL RESEARCH IN TOXICOLOGY (2022)

Article Urology & Nephrology

AI-generated RENAL plus Score Surpasses Human-generated Score in Predicting Renal Oncologic Outcomes

Nour Abdallah, Andrew Wood, Tarik Benidir, Nicholas Heller, Fabian Isensee, Resha Tejpaul, Dillon Corrigan, Chalairat Suk-ouichai, Griffin Struyk, Keenan Moore, Nitin Venkatesh, Onuralp Ergun, Alex You, Rebecca Campbell, Erick M. Remer, Samuel Haywood, Venkatesh Krishnamurthi, Robert Abouassaly, Steven Campbell, Nikolaos Papanikolopoulos, Christopher J. Weight

Summary: This study aims to improve the prediction ability of pathological outcomes by using an artificial intelligence-generated R.E.N.A.L.+ score (AI+ score) compared to the traditional H-score.

UROLOGY (2023)

Article Health Care Sciences & Services

Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge

Niranjan J. Sathianathen, Nicholas Heller, Resha Tejpaul, Bethany Stai, Arveen Kalapara, Jack Rickman, Joshua Dean, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zach Edgerton, Ranveer Vasdev, Matthew Peterson, Sean McSweeney, Sarah Peterson, Nikolaos Papanikolopoulos, Christopher Weight

Summary: Clinicians rely on imaging features and validated scoring systems to assess renal masses complexity. This study introduced a machine learning competition (KiTS19) to develop automatic segmentation system for kidney tumors in CT scans. The winning team achieved high accuracy in kidney segmentation but faced challenges in tumor segmentation.

FRONTIERS IN DIGITAL HEALTH (2022)

Letter Urology & Nephrology

Impact of Preoperative Immunonutrition on Perioperative Outcomes Following Cystectomy. Reply

Sari Khaleel, Subodh Regmi, Peter Hannah, Bradly Watarai, Niranjan Sathianathen, Christopher Weight, Badrinath Konety

JOURNAL OF UROLOGY (2021)

No Data Available