Nomogram for Predicting Pathologic Response Following Neoadjuvant Chemotherapy or Chemoradiotherapy in Patients with Esophageal Cancer

被引：0
|
作者：
Ulysses Ribeiro
机构：
[1] Universidade de São Paulo (ICESP- HCFMUSP),Department of Gastroenterology, Instituto do Cancer do Estado de São Paulo, Hospital das Clinicas, Faculdade de Medicina
来源：
Annals of Surgical Oncology | 2023年 / 30卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1945 / 1947
页数：2
相关论文
共 50 条
  • [21] Nomogram for predicting pathological complete response to neoadjuvant chemotherapy in patients with advanced gastric cancer
    Yong-He Chen
    Jian Xiao
    Xi-Jie Chen
    Hua-She Wang
    Dan Liu
    Jun Xiang
    Jun-Sheng Peng
    World Journal of Gastroenterology, 2020, (19) : 2427 - 2439
  • [22] Nomogram for predicting pathological complete response to neoadjuvant chemotherapy in patients with advanced gastric cancer
    Chen, Yong-He
    Xiao, Jian
    Chen, Xi-Jie
    Wang, Hua-She
    Liu, Dan
    Xiang, Jun
    Peng, Jun-Sheng
    WORLD JOURNAL OF GASTROENTEROLOGY, 2020, 26 (19) : 2427 - 2439
  • [23] Nomogram for predicting pathologically complete response after neoadjuvant chemoradiotherapy for oesophageal cancer
    Toxopeus, Eelke Lucie Anne
    Nieboer, Daan
    Shapiro, Joel
    Biermann, Katharina
    van der Gaast, Ate
    van Rij, Carolien M.
    Steyerberg, Ewout Willem
    van Lanschot, Joseph Jan Baptiste
    Wijnhoven, Bas Peter Louis
    RADIOTHERAPY AND ONCOLOGY, 2015, 115 (03) : 392 - 398
  • [24] Predicting Factors for a Favorable Pathologic Response to Neoadjuvant Therapy in Esophageal Cancer
    Wiesel, Ory
    Zlotnik, Oran
    Morgenstern, Sarah
    Tsur, Maya
    Menasherov, Nikolai
    Feferman, Yael
    Ben-Aharon, Irit
    Kashtan, Hanoch
    AMERICAN JOURNAL OF CLINICAL ONCOLOGY-CANCER CLINICAL TRIALS, 2022, 45 (12): : 514 - 518
  • [25] Nomogram for predicting the benefit of neoadjuvant chemoradiotherapy for esophageal cancer: A SEER-Medicare analysis.
    Eil, Robert
    Diggs, Brian S.
    Wang, Samuel J.
    Dolan, James P.
    Hunter, John G.
    Thomas, Charles R.
    JOURNAL OF CLINICAL ONCOLOGY, 2013, 31 (15)
  • [26] Factors Affecting Pathologic Complete Response Following Neoadjuvant Chemotherapy in Breast Cancer: Development and Validation of a Predictive Nomogram
    Kim, Soo-Yeon
    Cho, Nariya
    Choi, Yunhee
    Lee, Su Hyun
    Ha, Su Min
    Kim, Eun Sil
    Chang, Jung Min
    Moon, Woo Kyung
    RADIOLOGY, 2021, 299 (02) : 290 - 300
  • [27] Impact of pathological complete response following neoadjuvant chemoradiotherapy in esophageal cancer
    Soror, Tamer
    Kho, Gerlinda
    Zhao, Kuai-Le
    Ismail, Mahmoud
    Badakhshi, Harlin
    JOURNAL OF THORACIC DISEASE, 2018, 10 (07) : 4069 - 4076
  • [28] DW-MRI and DCE-MRI are of complementary value in predicting pathologic response to neoadjuvant chemoradiotherapy for esophageal cancer
    Heethuis, Sophie E.
    Goense, Lucas
    van Rossum, Peter S. N.
    Borggreve, Alicia S.
    Mook, Stella
    Voncken, Francine E. M.
    Bartels-Rutten, Annemarieke
    Aleman, Berthe M. P.
    van Hillegersberg, Richard
    Ruurda, Jelle P.
    Meijer, Gert J.
    Lagendijk, Jan J. W.
    van Lier, Astrid L. H. M. W.
    ACTA ONCOLOGICA, 2018, 57 (09) : 1201 - 1208
  • [29] Biomarkers Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
    Li, Xiaoxian Bill
    Krishnamurti, Uma
    Bhattarai, Shristi
    Ktimov, Sergey
    Reid, Michelle D.
    O'Regan, Ruth
    Aneja, Ritu
    AMERICAN JOURNAL OF CLINICAL PATHOLOGY, 2016, 145 (06) : 871 - 878
  • [30] Deep learning nomogram for predicting neoadjuvant chemotherapy response in locally advanced gastric cancer patients
    Zhang, Jingjing
    Zhang, Qiang
    Zhao, Bo
    Shi, Gaofeng
    ABDOMINAL RADIOLOGY, 2024, 49 (11) : 3780 - 3796
12345