External validation of mathematical models to distinguish between benign and malignant adnexal tumors: a multicenter study by the International Ovarian Tumor Analysis Group.
about
Key findings from the International Ovarian Tumor Analysis (IOTA) study: an approach to the optimal ultrasound based characterisation of adnexal pathologySimple ultrasound rules to distinguish between benign and malignant adnexal masses before surgery: prospective validation by IOTA groupPolytomous diagnosis of ovarian tumors as benign, borderline, primary invasive or metastatic: development and validation of standard and kernel-based risk prediction models.Prediction of human functional genetic networks from heterogeneous data using RVM-based ensemble learningImproving strategies for diagnosing ovarian cancer: a summary of the International Ovarian Tumor Analysis (IOTA) studies.Presurgical diagnosis of adnexal tumours using mathematical models and scoring systems: a systematic review and meta-analysis.Differentiation of pancreatic cancer and chronic pancreatitis using computer-aided diagnosis of endoscopic ultrasound (EUS) images: a diagnostic testAdnexal masses suspected to be benign treated with laparoscopyManagement of a suspicious adnexal mass: a clinical practice guideline.A new endoscopic ultrasonography image processing method to evaluate the prognosis for pancreatic cancer treated with interstitial brachytherapy.Triple-negative breast cancer: present challenges and new perspectives.The preoperative diagnosis of borderline ovarian tumors: a review of current literature.Adnexal masses: what is the role of ultrasonographic imaging?Differential diagnosis of adnexal masses: sequential use of the risk of malignancy index and HistoScanning, a novel computer-aided diagnostic tool.Comparison of the risk of malignancy index and self-constructed logistic regression models in preoperative evaluation of adnexal masses.IOTA simple rules for discriminating between benign and malignant adnexal masses: prospective external validation.Pediatric risk of malignancy index for preoperative evaluation of childhood ovarian tumors.Adnexal masses difficult to classify as benign or malignant using subjective assessment of gray-scale and Doppler ultrasound findings: logistic regression models do not helpTransvaginal ultrasonography in the diagnosis of extrauterine pelvic diseases
P2860
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P2860
External validation of mathematical models to distinguish between benign and malignant adnexal tumors: a multicenter study by the International Ovarian Tumor Analysis Group.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
External validation of mathema ...... Ovarian Tumor Analysis Group.
@en
External validation of mathema ...... Ovarian Tumor Analysis Group.
@nl
type
label
External validation of mathema ...... Ovarian Tumor Analysis Group.
@en
External validation of mathema ...... Ovarian Tumor Analysis Group.
@nl
prefLabel
External validation of mathema ...... Ovarian Tumor Analysis Group.
@en
External validation of mathema ...... Ovarian Tumor Analysis Group.
@nl
P2093
P50
P1476
External validation of mathema ...... Ovarian Tumor Analysis Group.
@en
P2093
Antonia C Testa
Caroline Van Holsbeke
Dirk Timmerman
Enrico Ferrazzi
International Ovarian Tumor Analysis Group
Ioannis Dimou
Lil Valentin
Philippe Moerman
P304
P356
10.1158/1078-0432.CCR-06-2958
P407
P433
P577
2007-08-01T00:00:00Z