126 related articles for article (PubMed ID: 38758814)
21. A Mammography-Based Radiomic Nomogram for Predicting Malignancy in Breast Suspicious Microcalcifications.
Chen Y; Jiang H; Li J; Zhang J; Wu P; Dai Z
Acad Radiol; 2024 Feb; 31(2):492-502. PubMed ID: 37940427
[TBL] [Abstract][Full Text] [Related]
22. Prediction of neoadjuvant chemotherapy pathological complete response for breast cancer based on radiomics nomogram of intratumoral and derived tissue.
Zheng G; Hou J; Shu Z; Peng J; Han L; Yuan Z; He X; Gong X
BMC Med Imaging; 2024 Jan; 24(1):22. PubMed ID: 38245712
[TBL] [Abstract][Full Text] [Related]
23. The risk factors and predictive nomogram of human albumin infusion during the perioperative period of posterior lumbar interbody fusion: a study based on 2015-2020 data from a local hospital.
Liu B; Pan J; Zong H; Wang Z
J Orthop Surg Res; 2021 Oct; 16(1):654. PubMed ID: 34717707
[TBL] [Abstract][Full Text] [Related]
24. Development and validation of a nomogram based on CT images and 3D texture analysis for preoperative prediction of the malignant potential in gastrointestinal stromal tumors.
Ren C; Wang S; Zhang S
Cancer Imaging; 2020 Jan; 20(1):5. PubMed ID: 31931874
[TBL] [Abstract][Full Text] [Related]
25. Predicting Breast Cancer in Breast Imaging Reporting and Data System (BI-RADS) Ultrasound Category 4 or 5 Lesions: A Nomogram Combining Radiomics and BI-RADS.
Luo WQ; Huang QX; Huang XW; Hu HT; Zeng FQ; Wang W
Sci Rep; 2019 Aug; 9(1):11921. PubMed ID: 31417138
[TBL] [Abstract][Full Text] [Related]
26. Predicting the pathological grade of breast phyllodes tumors: a nomogram based on clinical and magnetic resonance imaging features.
Ma X; Shen L; Hu F; Tang W; Gu Y; Peng W
Br J Radiol; 2021 Aug; 94(1124):20210342. PubMed ID: 34233487
[TBL] [Abstract][Full Text] [Related]
27. Construction and validation of a prognostic nutritional index-based nomogram for predicting pathological complete response in breast cancer: a two-center study of 1,170 patients.
Qu F; Luo Y; Peng Y; Yu H; Sun L; Liu S; Zeng X
Front Immunol; 2023; 14():1335546. PubMed ID: 38274836
[TBL] [Abstract][Full Text] [Related]
28. Dynamic contrast-enhanced MRI radiomics nomogram for predicting axillary lymph node metastasis in breast cancer.
Song D; Yang F; Zhang Y; Guo Y; Qu Y; Zhang X; Zhu Y; Cui S
Cancer Imaging; 2022 Apr; 22(1):17. PubMed ID: 35379339
[TBL] [Abstract][Full Text] [Related]
29. [Development and validation of a prognostic model for patients with sepsis in intensive care unit].
Jiang Z; Wang H; Wang S; Guan C; Qu Y
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Aug; 35(8):800-806. PubMed ID: 37593856
[TBL] [Abstract][Full Text] [Related]
30. An MRI-Based Radiomics Nomogram to Distinguish Ductal Carcinoma In Situ with Microinvasion From Ductal Carcinoma In Situ of Breast Cancer.
Wu Z; Lin Q; Wang H; Wang G; Fu G; Bian T
Acad Radiol; 2023 Sep; 30 Suppl 2():S71-S81. PubMed ID: 37211478
[TBL] [Abstract][Full Text] [Related]
31. External validation and modification of nomogram for predicting positive resection margins before breast conserving surgery.
Jung JJ; Kang E; Kim EK; Kim SM; Jang M; La Yun B; Park SY; Shin HC
Breast Cancer Res Treat; 2020 Sep; 183(2):373-380. PubMed ID: 32647937
[TBL] [Abstract][Full Text] [Related]
32. A nomogram to predict for malignant diagnosis of BI-RADS Category 4 breast lesions.
Mazouni C; Sneige N; Rouzier R; Balleyguier C; Bevers T; André F; Vielh P; Delaloge S
J Surg Oncol; 2010 Sep; 102(3):220-4. PubMed ID: 20740578
[TBL] [Abstract][Full Text] [Related]
33. Pathological diagnostic nomograms for predicting malignant histology and unfavorable pathology in patients with endophytic renal tumor.
Deng X; Liu X; Hu B; Jiang M; Zhu K; Nie J; Liu T; Chen L; Deng W; Fu B; Xiong S
Front Oncol; 2022; 12():964048. PubMed ID: 36212405
[TBL] [Abstract][Full Text] [Related]
34. [Construction of a nomogram prediction model for pathological complete response (pCR) of ipsilateral supraclavicular lymph node after neoadjuvant chemotherapy for breast cancer with first diagnosis of ipsilateral supraclavicular lymph node metastasis].
Lyu MH; Jiao DC; Wu JZ; Tian PQ; Ma YZ; Liu ZZ; Chen XC
Zhonghua Zhong Liu Za Zhi; 2022 Feb; 44(2):160-166. PubMed ID: 35184460
[No Abstract] [Full Text] [Related]
35. BCDnet: Parallel heterogeneous eight-class classification model of breast pathology.
He Q; Cheng G; Ju H
PLoS One; 2021; 16(7):e0253764. PubMed ID: 34252112
[TBL] [Abstract][Full Text] [Related]
36. Predictive value of nomogram based on Kyoto classification of gastritis to diagnosis of gastric cancer.
Lin J; Su H; Zhou Q; Pan J; Zhou L
Scand J Gastroenterol; 2022 May; 57(5):574-580. PubMed ID: 34994675
[TBL] [Abstract][Full Text] [Related]
37. Development and validation of nomograms using photoacoustic imaging and 2D ultrasound to predict breast nodule benignity and malignancy.
Chen J; Huang Z; Luo H; Li G; Ding Z; Tian H; Tang S; Mo S; Xu J; Wu H; Dong F
Postgrad Med J; 2024 Apr; 100(1183):309-318. PubMed ID: 38275274
[TBL] [Abstract][Full Text] [Related]
38. A nomogram for predicting the risk of heart failure with preserved ejection fraction.
Hua L; Zhang R; Chen R; Shao W
Int J Cardiol; 2024 Jul; 407():131973. PubMed ID: 38508321
[TBL] [Abstract][Full Text] [Related]
39. Factors Affecting Pathologic Complete Response Following Neoadjuvant Chemotherapy in Breast Cancer: Development and Validation of a Predictive Nomogram.
Kim SY; Cho N; Choi Y; Lee SH; Ha SM; Kim ES; Chang JM; Moon WK
Radiology; 2021 May; 299(2):290-300. PubMed ID: 33754824
[TBL] [Abstract][Full Text] [Related]
40. Value of Magnetic Resonance Imaging Texture Analysis in the Differential Diagnosis of Benign and Malignant Breast Tumors.
Wang BT; Fan WP; Xu H; Li LH; Zhang XH; Wang K; Liu MQ; You JH; Chen ZY
Chin Med Sci J; 2019 Mar; 34(1):33-37. PubMed ID: 30961778
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]