AIM: To evaluate the clinical parameters and identify a better method of predicting pathological complete response (pCR). METHODS: We enrolled 249 patients from a database of 544 consecutive rectal cancer patients who underwent surgical resection after preoperative chemoradiation therapy (PCRT). A retrospective review of morphological characteristics was then performed to collect data regarding rectal examination findings. A scoring model to predict pCR was then created. To validate the ability of the scoring model to predict complete regression. RESULTS: Seventy patients (12.9%) achieved a pCR. A multivariate analysis found that pre-CRT movability (P = 0.024), post-CRT size (P = 0.018), post-CRT morphology (P = 0.023), and gross change (P = 0.009) were independent predictors of pCR. The accuracy of the scoring model was 76.8% for predicting pCR with the threshold set at 4.5. In the validation set, the accuracy was 86.7%. CONCLUSION: Gross changes and morphological findings are important predictors of pathological response. Accordingly, PCRT response is best predicted by a combination of clinical, laboratory and metabolic information.
AIM: To evaluate the clinical parameters and identify a better method of predicting pathological complete response (pCR). METHODS: We enrolled 249 patients from a database of 544 consecutive rectal cancerpatients who underwent surgical resection after preoperative chemoradiation therapy (PCRT). A retrospective review of morphological characteristics was then performed to collect data regarding rectal examination findings. A scoring model to predict pCR was then created. To validate the ability of the scoring model to predict complete regression. RESULTS: Seventy patients (12.9%) achieved a pCR. A multivariate analysis found that pre-CRT movability (P = 0.024), post-CRT size (P = 0.018), post-CRT morphology (P = 0.023), and gross change (P = 0.009) were independent predictors of pCR. The accuracy of the scoring model was 76.8% for predicting pCR with the threshold set at 4.5. In the validation set, the accuracy was 86.7%. CONCLUSION: Gross changes and morphological findings are important predictors of pathological response. Accordingly, PCRT response is best predicted by a combination of clinical, laboratory and metabolic information.
Authors: E Kapiteijn; C A Marijnen; I D Nagtegaal; H Putter; W H Steup; T Wiggers; H J Rutten; L Pahlman; B Glimelius; J H van Krieken; J W Leer; C J van de Velde Journal: N Engl J Med Date: 2001-08-30 Impact factor: 91.245
Authors: Rolf Sauer; Heinz Becker; Werner Hohenberger; Claus Rödel; Christian Wittekind; Rainer Fietkau; Peter Martus; Jörg Tschmelitsch; Eva Hager; Clemens F Hess; Johann-H Karstens; Torsten Liersch; Heinz Schmidberger; Rudolf Raab Journal: N Engl J Med Date: 2004-10-21 Impact factor: 91.245
Authors: Julio García-Aguilar; Enrique Hernandez de Anda; Prayuth Sirivongs; Suk-Hwan Lee; Robert D Madoff; David A Rothenberger Journal: Dis Colon Rectum Date: 2003-03 Impact factor: 4.585
Authors: George Theodoropoulos; W E Wise; A Padmanabhan; B A Kerner; C W Taylor; P S Aguilar; K S Khanduja Journal: Dis Colon Rectum Date: 2002-07 Impact factor: 4.585
Authors: N Wolmark; B Fisher; H Rockette; C Redmond; D L Wickerham; E R Fisher; J Jones; A Glass; H Lerner; W Lawrence Journal: J Natl Cancer Inst Date: 1988-03-02 Impact factor: 13.506
Authors: Vivek K Mehta; Cheryl Cho; James M Ford; C Jambalos; Joseph Poen; Albert Koong; Albert Lin; J Augusto Bastidas; Harvey Young; Eamonn P Dunphy; George Fisher Journal: Int J Radiat Oncol Biol Phys Date: 2003-01-01 Impact factor: 7.038
Authors: Mikaela L Garland; Ryash Vather; Noah Bunkley; Maria Pearse; Ian P Bissett Journal: Int J Colorectal Dis Date: 2014-01-14 Impact factor: 2.571