Haodong Li
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Haodong Li has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Changwei Yuan
Andrology Center Peking University First Hospital Beijing China
1 shared publication - Fei Qin
Peking University First Hospital, Beijing, China
1 shared publication - Jianguo Ma
The Third Hospital of Hebei Medical University, Shijiazhuang, China
1 shared publication - Jilong Zhang
Peking University First Hospital, Beijing, China
1 shared publication - Yi Liu
Department of Urology, Peking University First Hospital, Beijing, China
1 shared publication - Zheng Zhao
Department of Urology, Peking University First Hospital, Beijing, China
1 shared publication
Latest Publications
- 24 February 2025
- Published by Springer Nature in Abdominal Radiology
- p. 1-9
Patients with multiple mpMRI region of interests: should we omit targeted biopsies of secondary lesions?
Purpose To assess the value of secondary lesion-targeted biopsy (SLx) in detecting prostate cancer (PCa) among patients with multifocal disease. Methods A total of 298 biopsy-naïve patients with 612 lesions (all with Prostate Imaging Reporting and Data System [PI-RADS] v2.1 ≥ 3) underwent cognitive fusion-targeted biopsy (TB) combined with systematic biopsy (SB). Our primary endpoints were to compare the detection rates of PCa and clinically significant PCa (csPCa) across different biopsy strategies (Index lesion-targeted biopsy [ILx] vs. ILx + SLx and ILx + SB vs. ILx + SLx + SB) and to define potential indications for SLx using PI-RADS and PSA density (PSAD). Secondary endpoint was to evaluate the predictive performance of index lesion (IL)- and SL-based multivariate logistic regression (MVA) models for csPCa. Results The overall detection rates for PCa and csPCa were 71% and 60%, with ILx + SLx + SB as the gold standard. Adding SLx to ILx modestly increased detection rates for PCa (63% vs. 65%, P = 0.016) and csPCa (55% vs. 58%, P = 0.004), but offered no significant advantage over ILx + SB. Stratification by PI-RADS and PSAD revealed that focusing on 80% intermediate- to high-risk lesions detected 39% csPCa while reducing 20% low-risk SLx at the cost of missing 1.6% csPCa. IL-based models outperformed SL-based models in predicting csPCa (Hosmer-Lemeshow P = 0.653 vs. 0.461). Conclusion SLx provides limited benefit in csPCa detection when ILx and SB have already been performed. Combining PI-RADS scores and PSAD helps identify patients who could benefit from SLx while avoiding unnecessary procedures in low-risk cases. Clinical trial registration No. 2016 − 1252, January 2017.
- 24 February 2025
- Published by Springer Nature in Abdominal Radiology
- p. 1-9
Patients with multiple mpMRI region of interests: should we omit targeted biopsies of secondary lesions?
Purpose To assess the value of secondary lesion-targeted biopsy (SLx) in detecting prostate cancer (PCa) among patients with multifocal disease. Methods A total of 298 biopsy-naïve patients with 612 lesions (all with Prostate Imaging Reporting and Data System [PI-RADS] v2.1 ≥ 3) underwent cognitive fusion-targeted biopsy (TB) combined with systematic biopsy (SB). Our primary endpoints were to compare the detection rates of PCa and clinically significant PCa (csPCa) across different biopsy strategies (Index lesion-targeted biopsy [ILx] vs. ILx + SLx and ILx + SB vs. ILx + SLx + SB) and to define potential indications for SLx using PI-RADS and PSA density (PSAD). Secondary endpoint was to evaluate the predictive performance of index lesion (IL)- and SL-based multivariate logistic regression (MVA) models for csPCa. Results The overall detection rates for PCa and csPCa were 71% and 60%, with ILx + SLx + SB as the gold standard. Adding SLx to ILx modestly increased detection rates for PCa (63% vs. 65%, P = 0.016) and csPCa (55% vs. 58%, P = 0.004), but offered no significant advantage over ILx + SB. Stratification by PI-RADS and PSAD revealed that focusing on 80% intermediate- to high-risk lesions detected 39% csPCa while reducing 20% low-risk SLx at the cost of missing 1.6% csPCa. IL-based models outperformed SL-based models in predicting csPCa (Hosmer-Lemeshow P = 0.653 vs. 0.461). Conclusion SLx provides limited benefit in csPCa detection when ILx and SB have already been performed. Combining PI-RADS scores and PSAD helps identify patients who could benefit from SLx while avoiding unnecessary procedures in low-risk cases. Clinical trial registration No. 2016 − 1252, January 2017.