에 의해 게시 Katholieke Universiteit te Leuven
1. The ADNEX risk model can be used by medical doctors to preoperatively estimate the likelihood that an ovarian (including para-ovarian and tubal) tumor is benign, borderline, a stage I cancer, stage II-IV cancer, or secondary metastatic cancer (i.e. metastasis of non-adnexal cancer to the ovary).
2. Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study.
3. The model was developed by clinicians and statisticians from the International Ovarian Tumour Analysis (IOTA) group, and is based on clinical and ultrasound data from almost 6000 women recruited at 24 centers in 10 countries (Italy, Belgium, Sweden, Czech Republic, Poland, France, UK, China, Spain, and Canada).
4. The ADNEX model contains nine predictors: age, serum CA-125 (U/ml), type of center (oncology vs other), maximum lesion diameter, proportion of solid tissue, number of papillary projections, the presence of >10 cyst locules, acoustic shadows, and ascites.
5. A full description of model development and validation is given in Van Calster B, Van Hoorde K, Valentin L, Testa AC, Fischerova D, Van Holsbeke C, Savelli L, Franchi D, Epstein E, Kaijser J, Van Belle V, Czekierdowski A, Guerriero S, Fruscio R, Lanzani C, Scala F, Bourne T, Timmerman D.
6. The model is based on data derived from women found to have at least one adnexal tumor that was judged not to be physiological, underwent a standardized ultrasound examination, and was later selected for surgery.
7. An oncology center is defined as a tertiary referral center with a specific gynecological oncological unit.
8. The BMJ 2014;349:g5920.
또는 아래 가이드를 따라 PC에서 사용하십시오. :
PC 버전 선택:
소프트웨어 설치 요구 사항:
직접 다운로드 가능합니다. 아래 다운로드 :
설치 한 에뮬레이터 애플리케이션을 열고 검색 창을 찾으십시오. 일단 찾았 으면 IOTA ADNEX 검색 막대에서 검색을 누릅니다. 클릭 IOTA ADNEX응용 프로그램 아이콘. 의 창 IOTA ADNEX Play 스토어 또는 앱 스토어의 스토어가 열리면 에뮬레이터 애플리케이션에 스토어가 표시됩니다. Install 버튼을 누르면 iPhone 또는 Android 기기 에서처럼 애플리케이션이 다운로드되기 시작합니다. 이제 우리는 모두 끝났습니다.
"모든 앱 "아이콘이 표시됩니다.
클릭하면 설치된 모든 응용 프로그램이 포함 된 페이지로 이동합니다.
당신은 아이콘을 클릭하십시오. 그것을 클릭하고 응용 프로그램 사용을 시작하십시오.
다운로드 IOTA ADNEX Mac OS의 경우 (Apple)
다운로드 | 개발자 | 리뷰 | 평점 |
---|---|---|---|
$19.99 Mac OS의 경우 | Katholieke Universiteit te Leuven | 1 | 5.00 |
PC를 설정하고 Windows 11에서 IOTA ADNEX 앱을 다운로드하는 단계:
The ADNEX risk model can be used by medical doctors to preoperatively estimate the likelihood that an ovarian (including para-ovarian and tubal) tumor is benign, borderline, a stage I cancer, stage II-IV cancer, or secondary metastatic cancer (i.e. metastasis of non-adnexal cancer to the ovary). The model is based on data derived from women found to have at least one adnexal tumor that was judged not to be physiological, underwent a standardized ultrasound examination, and was later selected for surgery. The ADNEX model contains nine predictors: age, serum CA-125 (U/ml), type of center (oncology vs other), maximum lesion diameter, proportion of solid tissue, number of papillary projections, the presence of >10 cyst locules, acoustic shadows, and ascites. An oncology center is defined as a tertiary referral center with a specific gynecological oncological unit. The model was developed by clinicians and statisticians from the International Ovarian Tumour Analysis (IOTA) group, and is based on clinical and ultrasound data from almost 6000 women recruited at 24 centers in 10 countries (Italy, Belgium, Sweden, Czech Republic, Poland, France, UK, China, Spain, and Canada). A full description of model development and validation is given in Van Calster B, Van Hoorde K, Valentin L, Testa AC, Fischerova D, Van Holsbeke C, Savelli L, Franchi D, Epstein E, Kaijser J, Van Belle V, Czekierdowski A, Guerriero S, Fruscio R, Lanzani C, Scala F, Bourne T, Timmerman D. Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study. The BMJ 2014;349:g5920.
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