ASO Visual Abstract: Preoperative MRI to Predict Upstaging of DCIS to Invasive Cancer at Surgery

被引:0
作者
Javid, Sara H. [1 ]
Kazerouni, Anum S. [2 ]
Hippe, Daniel S. [3 ]
Hirano, Michael [2 ]
Schnuck-Olapo, Jamie [1 ]
Biswas, Debosmita [2 ]
Bryant, Mary Lynn [2 ]
Li, Isabella [2 ]
Xiao, Jennifer [2 ]
Kim, Andrew G. [2 ]
Guo, Andy [2 ]
Dontchos, Brian [2 ]
Kilgore, Mark [5 ]
Kim, Janice [4 ]
Partridge, Savannah C. [2 ]
Rahbar, Habib [2 ]
机构
[1] Univ Washington, Med Ctr, Dept Surg, Seattle, WA 98195 USA
[2] Univ Washington, Dept Radiol, Seattle, WA USA
[3] Fred Hutchinson Canc Ctr, Clin Res Div, Seattle, WA USA
[4] Univ Washington, Dept Radiat Oncol, Seattle, WA USA
[5] Univ Washington, Dept Pathol, Seattle, WA USA
关键词
D O I
10.1245/s10434-025-16994-7
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Ductal carcinoma in situ (DCIS) is overtreated, in part because of inability to predict which DCIS cases diagnosed at core needle biopsy (CNB) will be upstaged at excision. This study aimed to determine whether quantitative magnetic resonance imaging (MRI) features can identify DCIS at risk of upstaging to invasive cancer. Methods: This prospective observational clinical trial analyzed women with a diagnosis of DCIS on CNB. All the participants underwent preoperative 3T MRI. Quantitative MRI features from routine dynamic contrast-enhanced (DCE) MR images (e.g., peak percent enhancement [PE]) and from advanced high temporal-resolution DCE MR images (e.g., K-trans) were measured. Clinical, pathologic, and mammographic features were reviewed. Associations with upstaging were summarized using the area under the receiver operating characteristic curve (AUC). Results: Of 58 DCIS lesions at CNB, 15 (26%) were upstaged to invasive cancer at surgery. Of the 58 lesions, 46 (79%) enhanced on MRI, although enhancement alone was not significantly associated with upstaging (p = 0.71). Among the DCIS lesions that enhanced, higher PE was most strongly associated with upstaging (AUC, 0.81; adjusted p = 0.009) and outperformed MRI features acquired via high temporal resolution DCE-MRI (AUC, 0.50-0.73). Lesion span on MRI was not significantly associated with upstaging risk (AUC, 0.55; adjusted p = 0.61), nor were any clinical, pathologic, or mammographic features (p > 0.24). Conclusions: Quantitative features acquired from routine clinical breast MRI and advanced DCE-MRI demonstrated good performance in identifying which DCIS lesions were upstaged to invasive cancer at excision. These features may prove valuable for appropriate selection of active surveillance in future DCIS de-escalation trials.
引用
收藏
页码:3234 / 3243
页数:2
相关论文
共 50 条
  • [1] Correction: Preoperative MRI to Predict Upstaging of DCIS to Invasive Cancer at Surgery
    Sara H. Javid
    Anum S. Kazerouni
    Daniel S. Hippe
    Michael Hirano
    Jamie Schnuck-Olapo
    Debosmita Biswas
    Mary Lynn Bryant
    Isabella Li
    Jennifer Xiao
    Andrew G. Kim
    Andy Guo
    Brian Dontchos
    Mark Kilgore
    Janice Kim
    Savannah C. Partridge
    Habib Rahbar
    Annals of Surgical Oncology, 2025, 32 (5) : 3350 - 3350
  • [2] MRI to predict upstaging of DCIS to invasive cancer at the time of surgery
    Olapo, Jamie K.
    Javid, Sara H.
    Kazerouni, Amun
    Hippe, Dan
    Guo, Andy
    Hirano, Michael
    Biswas, Debosmita
    Bryant, Mary Lynn
    Li, Isabella
    Kim, Janice
    Kilgore, Mark
    Dontchos, Brian
    Partridge, Savannah
    Rahbar, Habib
    ANNALS OF SURGICAL ONCOLOGY, 2024, 31 (01) : S83 - S84
  • [3] ASO Visual Abstract: Timing to Surgery and Lymph Node Upstaging in Gastric Cancer—An NCDB Analysis
    Maria Cristina Riascos
    Jacques A. Greenberg
    Federico Palacardo
    Rodrigo Edelmuth
    V. Colby Lewis
    Anjile An
    Haythem Najah
    Hala Al Asadi
    Parima Safe
    Brendan M. Finnerty
    Paul J. Christos
    Thomas J. Fahey
    Rasa Zarnegar
    Annals of Surgical Oncology, 2024, 31 : 1795 - 1795
  • [4] ASO Visual Abstract: Timing to Surgery and Lymph Node Upstaging in Gastric Cancer-An NCDB Analysis
    Riascos, Maria Cristina
    Greenberg, Jacques A.
    Palacardo, Federico
    Edelmuth, Rodrigo
    Lewis, V. Colby
    An, Anjile
    Najah, Haythem
    Al Asadi, Hala
    Safe, Parima
    Finnerty, Brendan M.
    Christos, Paul J.
    Fahey, Thomas J.
    Zarnegar, Rasa
    ANNALS OF SURGICAL ONCOLOGY, 2024, 31 (03) : 1795 - 1795
  • [5] ASO Visual Abstract: Lymph Node Positivity—Indication for Preoperative MRI?
    Kaitlyn Kennard
    Irene Israel
    Ariana Naaseh
    Rimpi Saini
    Kelly Rajapakse
    Julia Kirsten
    Ami Trivedi
    Jade Tao
    Jingqin Luo
    Tabassum Ahmad
    Julie Margenthaler
    Annals of Surgical Oncology, 2023, 30 : 6198 - 6198
  • [6] ASO Visual Abstract: Does Preoperative MRI Reduce Positive Margins After Breast Conserving Surgery?
    Cairns, Ashley B.
    Chagpar, Anees
    Dupont, Elisabeth A.
    Levine, Edward S.
    Gass, Jennifer
    Chiba, Akiko W.
    Ollila, David
    Howard-McNatt, Marissa
    ANNALS OF SURGICAL ONCOLOGY, 2023, 30 (10) : 6059 - 6060
  • [7] ASO Visual Abstract: Does Preoperative MRI Reduce Positive Margins After Breast Conserving Surgery?
    Ashley Cairns
    Anees B. Chagpar
    Elisabeth Dupont
    Edward A. Levine
    Jennifer S. Gass
    Akiko Chiba
    David W. Ollila
    Marissa Howard-McNatt
    Annals of Surgical Oncology, 2023, 30 : 6059 - 6060
  • [8] ASO Visual Abstract: Nodal Surgery for Patients ≥70 Undergoing Mastectomy for DCIS? Choose Wisely
    Dalton, Elissa C.
    Chang, Cecilia
    Cardarelli, Cassandra
    Aggon, Allison A.
    Porpiglia, Andrea S.
    Pronovost, Mary T.
    Bleicher, Richard J.
    Williams, Austin D.
    ANNALS OF SURGICAL ONCOLOGY, 2024, 31 (11) : 7510 - 7510
  • [9] ASO Visual Abstract: Nodal Surgery for Patients ≥70 Undergoing Mastectomy for DCIS? Choose Wisely
    Dalton, Elissa C.
    Chang, Cecilia
    Cardarelli, Cassandra
    Aggon, Allison A.
    Porpiglia, Andrea S.
    Pronovost, Mary T.
    Bleicher, Richard J.
    Williams, Austin D.
    ANNALS OF SURGICAL ONCOLOGY, 2024, : 7510 - 7510
  • [10] Mixed-Methods Study to Predict Upstaging of DCIS to Invasive Disease on Mammography
    Grimm, Lars J.
    Neely, Benjamin
    Hou, Rui
    Selvakumaran, Vignesh
    Baker, Jay A.
    Yoon, Sora C.
    Ghate, Sujata, V
    Walsh, Ruth
    Litton, Tyler P.
    Devalapalli, Amrita
    Kim, Connie
    Soo, Mary Scott
    Hyslop, Terry
    Hwang, E. Shelley
    Lo, Joseph Y.
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2021, 216 (04) : 903 - 911