Yanan Li1, Jiaqi Liang2, Xuewen Xu3, Xian Jiang4, Chuan Wang1, Siyuan Chen5, Bo Xiang6, Yi Ji7. 1. Division of Oncology, Department of Pediatric Surgery, West China Hospital of Sichuan University, #37 Guo-Xue-Xiang, Chengdu, 610041, China. 2. Shaanxi Zhongtian Rocket Technology Co, Ltd, Xi'an, 710025, China. 3. Department of Burns and Plastic Surgery, West China Hospital of Sichuan University, Chengdu, 610041, China. 4. Department of Dermatology, West China Hospital of Sichuan University, Chengdu, 610041, China. 5. Pediatric Intensive Care Unit, Department of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, 610041, China. 6. Division of Oncology, Department of Pediatric Surgery, West China Hospital of Sichuan University, #37 Guo-Xue-Xiang, Chengdu, 610041, China. xewkxb@sina.com. 7. Division of Oncology, Department of Pediatric Surgery, West China Hospital of Sichuan University, #37 Guo-Xue-Xiang, Chengdu, 610041, China. jijiyuanyuan@163.com.
Abstract
BACKGROUND: Fibrosarcomatous dermatofibrosarcoma protuberans (FS-DFSP) is a form of tumor progression of dermatofibrosarcoma protuberans (DFSP) with an increased risk of metastasis and recurrence. Few studies have compared the clinicopathological features of FS-DFSP and conventional DFSP (C-DFSP). OBJECTIVES: To better understand the epidemiological and clinicopathological characteristics of FS-DFSP. METHODS: We conducted a cohort study of 221 patients diagnosed with DFSP and built a recognition model with a back-propagation (BP) neural network for FS-DFSP. RESULTS: Twenty-six patients with FS-DFSP and 195 patients with C-DFSP were included. There were no differences between FS-DFSP and C-DFSP regarding age at presentation, age at diagnosis, sex, size at diagnosis, size at presentation, and tumor growth. The negative ratio of CD34 in FS-DFSP (11.5%) was significantly lower than that in C-DFSP (5.1%) (P = 0.005). The average Ki-67 index of FS-DFSP (18.1%) cases was significantly higher than that of C-DFSP (8.1%) cases (P < 0.001). The classification accuracy of the BP neural network model training samples was 100%. The correct rates of classification and misdiagnosis were 84.1% and 15.9%. CONCLUSIONS: The clinical manifestations of FS-DFSP and C-DFSP are similar but have large differences in immunohistochemistry. The classification accuracy and feasibility of the BP neural network model are high in FS-DFSP.
BACKGROUND:Fibrosarcomatous dermatofibrosarcoma protuberans (FS-DFSP) is a form of tumor progression of dermatofibrosarcoma protuberans (DFSP) with an increased risk of metastasis and recurrence. Few studies have compared the clinicopathological features of FS-DFSP and conventional DFSP (C-DFSP). OBJECTIVES: To better understand the epidemiological and clinicopathological characteristics of FS-DFSP. METHODS: We conducted a cohort study of 221 patients diagnosed with DFSP and built a recognition model with a back-propagation (BP) neural network for FS-DFSP. RESULTS: Twenty-six patients with FS-DFSP and 195 patients with C-DFSP were included. There were no differences between FS-DFSP and C-DFSP regarding age at presentation, age at diagnosis, sex, size at diagnosis, size at presentation, and tumor growth. The negative ratio of CD34 in FS-DFSP (11.5%) was significantly lower than that in C-DFSP (5.1%) (P = 0.005). The average Ki-67 index of FS-DFSP (18.1%) cases was significantly higher than that of C-DFSP (8.1%) cases (P < 0.001). The classification accuracy of the BP neural network model training samples was 100%. The correct rates of classification and misdiagnosis were 84.1% and 15.9%. CONCLUSIONS: The clinical manifestations of FS-DFSP and C-DFSP are similar but have large differences in immunohistochemistry. The classification accuracy and feasibility of the BP neural network model are high in FS-DFSP.
Entities:
Keywords:
BP neural network; Clinicopathological features; Dermatofibrosarcoma protuberans; Fibrosarcomatous
Authors: Christine A Liang; Anokhi Jambusaria-Pahlajani; Pritesh S Karia; Rosalie Elenitsas; Paul D Zhang; Chrysalyne D Schmults Journal: J Am Acad Dermatol Date: 2014-04-19 Impact factor: 11.527
Authors: Eva Hoster; Andreas Rosenwald; Françoise Berger; Heinz-Wolfram Bernd; Sylvia Hartmann; Christoph Loddenkemper; Thomas F E Barth; Nicole Brousse; Stefano Pileri; Grzegorz Rymkiewicz; Roman Kodet; Stephan Stilgenbauer; Roswitha Forstpointner; Catherine Thieblemont; Michael Hallek; Bertrand Coiffier; Ursula Vehling-Kaiser; Réda Bouabdallah; Lothar Kanz; Michael Pfreundschuh; Christian Schmidt; Vincent Ribrag; Wolfgang Hiddemann; Michael Unterhalt; Johanna C Kluin-Nelemans; Olivier Hermine; Martin H Dreyling; Wolfram Klapper Journal: J Clin Oncol Date: 2016-02-29 Impact factor: 44.544