Prediction of Occult Uterine Sarcoma before Hysterectomy for Women with Leiomyoma or Abnormal Bleeding

被引:7
|
作者
Lentz, Scott E. [1 ]
Zaritsky, Eve [2 ]
Tucker, Lue-Yen [3 ]
Lee, Catherine [3 ]
Lazo, Isabel M. [4 ]
Niihara, Aki [2 ]
Yamamoto, Miya [5 ]
Raine-Bennett, Tina [2 ,3 ]
机构
[1] Southern Calif Permanente Med Grp, Dept Obstet & Gynecol, Div Gynecol Oncol, Los Angeles, CA USA
[2] Permanente Med Grp Inc, Dept Obstet & Gynecol, Oakland, CA USA
[3] Kaiser Permanente Northern Calif, Div Res, Oakland, CA USA
[4] Univ Chicago, Med Ctr, Sect Gynecol Oncol, Chicago, IL 60637 USA
[5] Permanente Med Grp Inc, Dept Obstet & Gynecol, San Leandro, CA USA
关键词
Sarcoma discrimination; Uterine mass assessment; Preoperative modeling; Predictive; DOPPLER ULTRASONOGRAPHY; DIFFERENTIAL-DIAGNOSIS; LEIOMYOSARCOMA; RISK;
D O I
10.1016/j.jmig.2019.07.017
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Study Objective: To develop a risk prediction model for occult uterine sarcoma using preoperative clinical characteristics in women undergoing hysterectomy for presumed uterine leiomyomata. Design: Cases of uterine sarcoma were identified from the electronic medical records. Age/race-matched controls were selected at a 2:1 ratio (controls:cases) from a cohort of 45 188 women who underwent hysterectomy for uterine leiomyomata or abnormal bleeding during the same time interval. Unadjusted conditional logistic regression was performed to identify risk factors for occult uterine sarcomas, defined as no preoperative suspicion for malignancy. A risk prediction model was developed using a weighted logistic regression model, and the performance of the model was assessed using the receiver operator characteristic curve and corresponding area under the curve. Setting: A large integrated health care system in California Patients: Women 18 years of age and older who underwent a hysterectomy and were diagnosed with a uterine sarcoma and matched controls from 2006 to 2013. Interventions: None. Measurements and Main Results: There were 117 cases of occult uterine sarcomas that met inclusion criteria during the study period. The final risk prediction model included age, race/ethnicity, number of myomas, uterine weight, uterine size increase, degree of pelvic pain, and recent history of blood transfusion. The risk prediction model showed high accuracy based on the receiver operating characteristic curve method (area under the curve = 0.83; 95% confidence interval, 0.77-0.90); however, the positive predictive values were low (0.048 or less) at all risk thresholds. Conclusion: Multiple clinical features are associated with the presence of a uterine sarcoma, but when incorporated into a prediction model, they fail to provide significantly more information about women who may have an unrecognized sarcoma and only marginally improve the certainty about women who are not likely to have sarcoma. (C) 2019 AAGL. All rights reserved.
引用
收藏
页码:930 / +
页数:9
相关论文
共 50 条
  • [1] The Role of Endometrial Sampling before Hysterectomy in Premenopausal Women with Abnormal Uterine Bleeding
    Kuru, Oguzhan
    Erkan, Ipek Betul Ozcivit
    Saricoban, Cansu Turker
    Akgor, Utku
    Inan, Neslihan Gokmen
    Ilvan, Sennur
    [J]. JOURNAL OF CLINICAL MEDICINE, 2024, 13 (13)
  • [2] Prevalence of Lower Urinary Tract Symptoms in Women Planning to Undergo Hysterectomy for Uterine Leiomyoma and Abnormal Uterine Bleeding
    Agu, Ijeoma
    Das, Rajeshree
    Geller, Elizabeth J.
    Carey, Erin T.
    Chu, Christine M.
    [J]. JOURNAL OF WOMENS HEALTH, 2024, 33 (06) : 798 - 804
  • [3] Risk of Occult Uterine Sarcoma in Women Undergoing Hysterectomy for Benign Indications
    Kho, Kimberly A.
    Lin, Ken
    Hechanova, Martin
    Richardson, Debra L.
    [J]. OBSTETRICS AND GYNECOLOGY, 2016, 127 (03): : 468 - 473
  • [4] Risk of Occult Uterine Sarcoma in Women Undergoing Hysterectomy for Benign Indications
    Kho, Kimberly Anne
    Lin, Ken Yu
    Hechanova, Martin Lorenzo
    Richardson, Debra Lynn
    [J]. OBSTETRICS AND GYNECOLOGY, 2015, 125 : 4S - 4S
  • [5] Adenomyosis in women undergoing hysterectomy for abnormal uterine bleeding associated with uterine leiomyomas
    Lonky, Neal M.
    Chiu, Vicki
    Portugal, Cecilia
    Estrada, Erika L.
    Chang, John
    Fischer, Heidi
    Vora, Jamie B.
    Harrison, Lawrence I.
    Peng, Lauren
    Munro, Malcolm G.
    Favilli, Alessandro
    Favilli, Alessandro
    Favilli, Alessandro
    Favilli, Alessandro
    [J]. PLOS ONE, 2023, 18 (12):
  • [6] Role of hysterectomy in abnormal uterine bleeding
    Rabell, M. Vila
    Soldevila, P. Barri
    [J]. CLINICA E INVESTIGACION EN GINECOLOGIA Y OBSTETRICIA, 2023, 50 (01):
  • [7] Agreement of histopathological findings of uterine curettage and hysterectomy specimens in women with abnormal uterine bleeding
    Moradan, Sanam
    Ghorbani, Raheb
    Lotfi, Azita
    [J]. SAUDI MEDICAL JOURNAL, 2017, 38 (05) : 497 - 502
  • [8] LEIOMYOMA, A MAJOR CAUSE OF ABNORMAL UTERINE BLEEDING
    Rani, Sreeja V. R.
    Thomas, Sindha
    [J]. JOURNAL OF EVOLUTION OF MEDICAL AND DENTAL SCIENCES-JEMDS, 2013, 2 (16): : 2626 - 2630
  • [10] Abnormal uterine bleeding: Avoid the rush to hysterectomy
    Hill, Ashley
    [J]. JOURNAL OF FAMILY PRACTICE, 2009, 58 (03): : 136 - 142