PURPOSE: The role of lymph node dissection is still controversial in patients treated with radical nephroureterectomy for upper tract urothelial cancer. We developed a pathological nodal staging model that allows quantification of the likelihood that a patient with pathologically node negative disease has, indeed, no lymph node metastasis. MATERIALS AND METHODS: We analyzed data on 814 patients treated with radical nephroureterectomy and lymph node dissection, and estimated the sensitivity of pathological nodal staging using a β-binomial model. We developed a pathological nodal staging score that represents the probability that a case is correctly staged as node negative. RESULTS: A median of 5 lymph nodes (range 1 to 46) was removed and 593 patients (73%) had pN0 disease. The probability of missing lymph node metastasis decreased as the number of nodes examined increased. If only a single node was examined, 44% of patients would have been misclassified as having pN0 disease while harboring lymph node metastasis. Even when 5 nodes were examined, 12% of patients would have been misclassified. The proportion of those with a positive node increased with advancing pathological T stage and lymphovascular invasion. Patients with pT0-Ta-Tis-T1/lymphovascular invasion had more than a 95% chance of correct pathological nodal staging with 2 examined nodes. However, if a patient had pT3-T4 and positive lymphovascular invasion, even 20 examined lymph nodes did not attain 95% accuracy. CONCLUSIONS: Lymph node dissection provides more accurate staging and prediction of survival. The number of examined nodes needed for adequate staging depends on pT stage and lymphovascular invasion. We developed a tool to estimate the likelihood of false-negative lymph node metastasis, which could help refine clinical decision making regarding the administration of adjuvant chemotherapy.
PURPOSE: The role of lymph node dissection is still controversial in patients treated with radical nephroureterectomy for upper tract urothelial cancer. We developed a pathological nodal staging model that allows quantification of the likelihood that a patient with pathologically node negative disease has, indeed, no lymph node metastasis. MATERIALS AND METHODS: We analyzed data on 814 patients treated with radical nephroureterectomy and lymph node dissection, and estimated the sensitivity of pathological nodal staging using a β-binomial model. We developed a pathological nodal staging score that represents the probability that a case is correctly staged as node negative. RESULTS: A median of 5 lymph nodes (range 1 to 46) was removed and 593 patients (73%) had pN0 disease. The probability of missing lymph node metastasis decreased as the number of nodes examined increased. If only a single node was examined, 44% of patients would have been misclassified as having pN0 disease while harboring lymph node metastasis. Even when 5 nodes were examined, 12% of patients would have been misclassified. The proportion of those with a positive node increased with advancing pathological T stage and lymphovascular invasion. Patients with pT0-Ta-Tis-T1/lymphovascular invasion had more than a 95% chance of correct pathological nodal staging with 2 examined nodes. However, if a patient had pT3-T4 and positive lymphovascular invasion, even 20 examined lymph nodes did not attain 95% accuracy. CONCLUSIONS: Lymph node dissection provides more accurate staging and prediction of survival. The number of examined nodes needed for adequate staging depends on pT stage and lymphovascular invasion. We developed a tool to estimate the likelihood of false-negative lymph node metastasis, which could help refine clinical decision making regarding the administration of adjuvant chemotherapy.
Authors: Pierre Colin; Tarek P Ghoneim; Laurent Nison; Thomas Seisen; Eric Lechevallier; Xavier Cathelineau; Adil Ouzzane; Marc Zerbib; Jean-Alexandre Long; Alain Ruffion; Sébastien Crouzet; Olivier Cussenot; Marie Audouin; Jacques Irani; Solène Gardic; Pascal Gres; François Audenet; Mathieu Roumiguié; Antoine Valeri; Morgan Rouprêt Journal: World J Urol Date: 2013-06-29 Impact factor: 4.226
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Authors: Meera R Chappidi; Max Kates; Michael H Johnson; Noah M Hahn; Trinity J Bivalacqua; Phillip M Pierorazio Journal: Urol Oncol Date: 2016-07-27 Impact factor: 3.498
Authors: Marco Moschini; Beat Foerster; Mohammad Abufaraj; Francesco Soria; Thomas Seisen; Morgan Roupret; Pierre Colin; Alexandre De la Taille; Benoit Peyronnet; Karim Bensalah; Roman Herout; Manfred Peter Wirth; Vladimir Novotny; Piotr Chlosta; Marco Bandini; Francesco Montorsi; Giuseppe Simone; Michele Gallucci; Giuseppe Romeo; Kazumasa Matsumoto; Pierre Karakiewicz; Alberto Briganti; Shahrokh F Shariat Journal: World J Urol Date: 2017-02-28 Impact factor: 4.226
Authors: Evanguelos Xylinas; Luis Kluth; Malte Rieken; Morgan Rouprêt; Bashir Al Hussein Al Awamlh; Thomas Clozel; Maxine Sun; Pierre I Karakiewicz; Mithat Gonen; Shahrokh F Shariat Journal: Urol Oncol Date: 2016-11-03 Impact factor: 3.498
Authors: Surena F Matin; John P Sfakianos; Patrick N Espiritu; Jonathan A Coleman; Philippe E Spiess Journal: J Urol Date: 2015-06-19 Impact factor: 7.450
Authors: Thomas Seisen; Shahrokh F Shariat; Olivier Cussenot; Benoit Peyronnet; Raphaële Renard-Penna; Pierre Colin; Morgan Rouprêt Journal: World J Urol Date: 2016-01-25 Impact factor: 4.226