51 related articles for article (PubMed ID: 38375194)
1. The survival benefit of postmastectomy radiotherapy for breast cancer patients with T1-2N1 disease according to molecular subtype.
Wei J; Jiang Y; Shao Z
Breast; 2020 Jun; 51():40-49. PubMed ID: 32200207
[TBL] [Abstract][Full Text] [Related]
2. Effects of postmastectomy radiotherapy on survival in different age groups for patients with T3N0M0 breast cancer.
He MT; Lu XX; Gou ZC
Breast; 2021 Dec; 60():247-254. PubMed ID: 34808436
[TBL] [Abstract][Full Text] [Related]
3. A prognostic score model to determine which breast cancer patients with 1-3 positive lymph nodes after modified radical mastectomy should receive radiotherapy.
Chen D; Wang H; Song X; Shi F; Kong L; Yu J
Oncotarget; 2018 Jan; 9(1):385-393. PubMed ID: 29416621
[TBL] [Abstract][Full Text] [Related]
4. Explainable machine learning predicts survival of retroperitoneal liposarcoma: A study based on the SEER database and external validation in China.
Wang M; Li Z; Zeng S; Wang Z; Ying Y; He W; Zhang Z; Wang H; Xu C
Cancer Med; 2024 Jun; 13(11):e7324. PubMed ID: 38847519
[TBL] [Abstract][Full Text] [Related]
5. Immortal Time Bias in Observational Studies of Time-to-Event Outcomes: Assessing Effects of Postmastectomy Radiation Therapy Using the National Cancer Database.
Agarwal P; Moshier E; Ru M; Ohri N; Ennis R; Rosenzweig K; Mazumdar M
Cancer Control; 2018; 25(1):1073274818789355. PubMed ID: 30021466
[TBL] [Abstract][Full Text] [Related]
6. Development and internal-external validation of statistical and machine learning models for breast cancer prognostication: cohort study.
Clift AK; Dodwell D; Lord S; Petrou S; Brady M; Collins GS; Hippisley-Cox J
BMJ; 2023 May; 381():e073800. PubMed ID: 37164379
[TBL] [Abstract][Full Text] [Related]
7. Explainable deep learning-based survival prediction for non-small cell lung cancer patients undergoing radical radiotherapy.
Astley JR; Reilly JM; Robinson S; Wild JM; Hatton MQ; Tahir BA
Radiother Oncol; 2024 Apr; 193():110084. PubMed ID: 38244779
[TBL] [Abstract][Full Text] [Related]
8. Development and Validation of a Novel Machine Learning Model to Predict the Survival of Patients with Gastrointestinal Neuroendocrine Neoplasms.
Liu S; Chen YX; Dai B; Chen L
Neuroendocrinology; 2024 May; ():1-16. PubMed ID: 38710164
[TBL] [Abstract][Full Text] [Related]
9. Development and Application of a Novel Machine Learning Model Predicting Pancreatic Cancer-Specific Mortality.
Sun Y; Hu S; Li X; Wu Y
Cureus; 2024 Mar; 16(3):e57161. PubMed ID: 38681451
[TBL] [Abstract][Full Text] [Related]
10. Post-mastectomy radiotherapy for women with early breast cancer and one to three positive lymph nodes.
Verma R; Chandarana M; Barrett J; Anandadas C; Sundara Rajan S
Cochrane Database Syst Rev; 2023 Jun; 6(6):CD014463. PubMed ID: 37327075
[TBL] [Abstract][Full Text] [Related]
11. Post-mastectomy radiation therapy in breast cancer patients with 1-3 positive lymph nodes: No one size fits all.
Kayali M; Abi Jaoude J; Tfayli A; El Saghir N; Poortmans P; Zeidan YH
Crit Rev Oncol Hematol; 2020 Mar; 147():102880. PubMed ID: 32045847
[TBL] [Abstract][Full Text] [Related]
12. Who can benefit from postmastectomy radiotherapy among HR+/HER2- T1-2 N1M0 breast cancer patients? An explainable machine learning mortality prediction based approach.
Jin L; Zhao Q; Fu S; Zhang Y; Wu S; Li X; Cao F
Front Endocrinol (Lausanne); 2024; 15():1326009. PubMed ID: 38375194
[TBL] [Abstract][Full Text] [Related]
13. Individualized Prediction of Survival Benefit from Postmastectomy Radiotherapy for Patients with Breast Cancer with One to Three Positive Axillary Lymph Nodes.
Zhang N; Zhang J; Zhang H; Liu Y; Zhao W; Wang L; Chen B; Moran MS; Haffty BG; Yang Q
Oncologist; 2019 Dec; 24(12):e1286-e1293. PubMed ID: 31315963
[TBL] [Abstract][Full Text] [Related]
14. Use of Postmastectomy Radiotherapy and Survival Rates for Breast Cancer Patients with T1-T2 and One to Three Positive Lymph Nodes.
Huo D; Hou N; Jaskowiak N; Winchester DJ; Winchester DP; Yao K
Ann Surg Oncol; 2015 Dec; 22(13):4295-304. PubMed ID: 25820998
[TBL] [Abstract][Full Text] [Related]
15. Nomogram predicting survival as a selection criterion for postmastectomy radiotherapy in patients with T1 to T2 breast cancer with 1 to 3 positive lymph nodes.
Tang Y; Zhang YJ; Zhang N; Shi M; Wen G; Cheng J; Wang HM; Liu M; Wang XH; Guo QS; Wu HF; Ma CY; Jin J; Liu YP; Song YW; Fang H; Ren H; Wang SL; Li YX
Cancer; 2020 Aug; 126 Suppl 16():3857-3866. PubMed ID: 32710662
[TBL] [Abstract][Full Text] [Related]
16.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
17.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]