BACKGROUND: The aim of this study was to determine how to select potential candidates for curative resection among advanced gastric patients with equivocal findings of para-aortic lymph node metastasis on computed tomography (CT). METHODS: We analyzed the clinicopathologic results of 23 advanced gastric cancer patients who were diagnosed as having equivocal findings of para-aortic lymph node metastasis on a CT scan and who underwent gastrectomy with D2 and para-aortic lymph node dissection. RESULTS: Twenty-two patients were male, and one patient was female. The median age of all study subjects was 52 years (range, 31-75 years). Sixteen underwent total gastrectomy, and seven underwent subtotal gastrectomy. The median number of A2 (suprarenal) lymph nodes harvested was 2 (range, 1-5), and that of B1 (infrarenal) lymph nodes was 6 (range, 1-17). Ten (43.5%) of the 23 patients were proven pathologically to have metastasis to para-aortic lymph nodes. Two patients with cT2 cancer had no metastatic para-aortic lymph node, whereas three patients with cT4 disease had metastatic para-aortic lymph nodes (P = .021). Seven (70.0%) of 10 patients with pathologic para-aortic lymph node metastasis experienced recurrence, whereas only 2 (15.4%) of 13 patients without experienced recurrence (P = .008). The Lauren classification was found to be an independent predictor of para-aortic lymph node metastasis (relative risk; .13; 95% confidence interval, .02-.83; P = .03). CONCLUSIONS: More than half of gastric cancer patients with equivocal findings of para-aortic lymph node metastasis on CT are potential candidates for curative resection. The Lauren classification of gastric cancer in patients with equivocal CT findings of para-aortic lymph node metastasis would be helpful when deciding on clinical stage and treatment plans in these patients.
BACKGROUND: The aim of this study was to determine how to select potential candidates for curative resection among advanced gastricpatients with equivocal findings of para-aortic lymph node metastasis on computed tomography (CT). METHODS: We analyzed the clinicopathologic results of 23 advanced gastric cancerpatients who were diagnosed as having equivocal findings of para-aortic lymph node metastasis on a CT scan and who underwent gastrectomy with D2 and para-aortic lymph node dissection. RESULTS: Twenty-two patients were male, and one patient was female. The median age of all study subjects was 52 years (range, 31-75 years). Sixteen underwent total gastrectomy, and seven underwent subtotal gastrectomy. The median number of A2 (suprarenal) lymph nodes harvested was 2 (range, 1-5), and that of B1 (infrarenal) lymph nodes was 6 (range, 1-17). Ten (43.5%) of the 23 patients were proven pathologically to have metastasis to para-aortic lymph nodes. Two patients with cT2 cancer had no metastatic para-aortic lymph node, whereas three patients with cT4 disease had metastatic para-aortic lymph nodes (P = .021). Seven (70.0%) of 10 patients with pathologic para-aortic lymph node metastasis experienced recurrence, whereas only 2 (15.4%) of 13 patients without experienced recurrence (P = .008). The Lauren classification was found to be an independent predictor of para-aortic lymph node metastasis (relative risk; .13; 95% confidence interval, .02-.83; P = .03). CONCLUSIONS: More than half of gastric cancerpatients with equivocal findings of para-aortic lymph node metastasis on CT are potential candidates for curative resection. The Lauren classification of gastric cancer in patients with equivocal CT findings of para-aortic lymph node metastasis would be helpful when deciding on clinical stage and treatment plans in these patients.
Authors: Salah-Eddin Al-Batran; Nils Homann; Claudia Pauligk; Gerald Illerhaus; Uwe M Martens; Jan Stoehlmacher; Harald Schmalenberg; Kim B Luley; Nicole Prasnikar; Matthias Egger; Stephan Probst; Helmut Messmann; Markus Moehler; Wolfgang Fischbach; Jörg T Hartmann; Frank Mayer; Heinz-Gert Höffkes; Michael Koenigsmann; Dirk Arnold; Thomas W Kraus; Kersten Grimm; Stefan Berkhoff; Stefan Post; Elke Jäger; Wolf Bechstein; Ulrich Ronellenfitsch; Stefan Mönig; Ralf D Hofheinz Journal: JAMA Oncol Date: 2017-09-01 Impact factor: 31.777
Authors: Salah-Eddin Al-Batran; Thorsten O Goetze; Daniel W Mueller; Arndt Vogel; Michael Winkler; Sylvie Lorenzen; Alexander Novotny; Claudia Pauligk; Nils Homann; Thomas Jungbluth; Christoph Reissfelder; Karel Caca; Steffen Retter; Eva Horndasch; Julia Gumpp; Claus Bolling; Karl-Hermann Fuchs; Wolfgang Blau; Winfried Padberg; Michael Pohl; Andreas Wunsch; Patrick Michl; Frank Mannes; Matthias Schwarzbach; Harald Schmalenberg; Michael Hohaus; Christian Scholz; Christoph Benckert; Jorge Riera Knorrenschild; Veit Kanngießer; Thomas Zander; Hakan Alakus; Ralf-Dieter Hofheinz; Claus Roedel; Manish A Shah; Mitsuru Sasako; Dietmar Lorenz; Jakob Izbicki; Wolf O Bechstein; Hauke Lang; Stefan P Moenig Journal: BMC Cancer Date: 2017-12-28 Impact factor: 4.430