Development and validation of a machine learning-based predictive model for early outcomes following combined suction-assisted lipectomy and lymphovenous anastomosis in breast cancer-related lymphedema: a retrospective cohort study - Quiz - MDSpire

Development and validation of a machine learning-based predictive model for early outcomes following combined suction-assisted lipectomy and lymphovenous anastomosis in breast cancer-related lymphedema: a retrospective cohort study

  • By

  • Yonghao Cui

  • Hao Dong

  • Zixuan Yao

  • Shuai Pang

  • Yuguang Sun

  • Song Xia

  • Wenbin Shen

  • May 7, 2026

Share

Original Source(s)

Development and validation of a machine learning-based predictive model for early outcomes following combined suction-assisted lipectomy and lymphovenous anastomosis in breast cancer-related lymphedema: a retrospective cohort study

  • by Yonghao Cui, Hao Dong, Zixuan Yao, Shuai Pang, Yuguang Sun, Song Xia, Wenbin Shen

  • May 7, 2026

Related Content

One Pathway for Esophageal Cancer?

Molecular profiling reveals precursor signals in BE-negative esophageal cancer

  • May 7, 2026

  • 2 min
Plasma miR-371a-3p Predicts Recurrence in Stage I Testicular Cancer: Interim Results From the CLIMATE Study

In the management of stage I testicular cancer, a persistent clinical dilemma is the identification of patients who truly need adjuvant treatment after orchiectomy rather than active surveillance alon...

‘Promising’ Signal Only: ctDNA in Early Breast Cancer Not Yet Ready for Clinical Use

Despite compelling prognostic associations across multiple retrospective data sets, no interventional trial has demonstrated that acting on circulating tumor DNA testing results in early breast cancer...