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Nomogram to predict ypN status after chemoradiation in patients with locally advanced rectal cancer.
Jwa, E; Kim, J H; Han, S; Park, J-h; Lim, S-B; Kim, J C; Hong, Y S; Kim, T W; Yu, C S.
Afiliación
  • Jwa E; Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Republic of Korea.
  • Kim JH; Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Republic of Korea.
  • Han S; Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Republic of Korea.
  • Park JH; Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Republic of Korea.
  • Lim SB; Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Republic of Korea.
  • Kim JC; Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Republic of Korea.
  • Hong YS; Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Republic of Korea.
  • Kim TW; Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Republic of Korea.
  • Yu CS; Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Republic of Korea.
Br J Cancer ; 111(2): 249-54, 2014 Jul 15.
Article en En | MEDLINE | ID: mdl-24967873
ABSTRACT

BACKGROUND:

Pelvic lymph node (LN) status after preoperative chemoradiotherapy (CRT) is an important indicator of oncologic outcome in patients with locally advanced rectal cancer. The purpose of this study was to develop a nomogram to predict LN status after preoperative CRT in locally advanced rectal cancer patients.

METHODS:

The nomogram was developed in a training cohort (n=891) using logistic regression analyses and validated in a validation cohort (n=258) from a prospectively registered tumour registry at Asan Medical Center. The model was internally and externally validated for discrimination and calibration using bootstrap resampling. Model performance was evaluated by the concordance index (c-index) and calibration curve.

RESULTS:

Pretreatment ypT stage, patient age, preCRT tumour differentiation, cN stage, lymphovascular invasion, and perineural invasion were reliable predictors of LN metastasis after preoperative CRT. The nomogram developed using these parameters had c-indices of 0.81 (training) and 0.77 (validation). The calibration plot suggested good agreement between actual and nomogram-predicted LN status after preoperative CRT.

CONCLUSIONS:

This nomogram improves prediction of LN status after preoperative CRT in patients with locally advanced rectal cancer. It will be useful for counselling patients as well as for the design and stratification of patients in clinical trials.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias del Recto / Nomogramas / Ganglios Linfáticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Br J Cancer Año: 2014 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias del Recto / Nomogramas / Ganglios Linfáticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Br J Cancer Año: 2014 Tipo del documento: Article