Shan-Shan Lian
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Shan-Shan Lian has a total of 17 co-authors. Here are the top co-authors by number of shared publications:
Dongping Jiang
Department of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
1 shared publication- Feng Shi
Department of Interventional Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong, People's Republic of China
1 shared publication - Huilan Li
Department of Laboratory Medicine, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen 518033, China
1 shared publication - Lili Feng
Department of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
1 shared publication Ming Wu
1 shared publication- Peihong Wu
Department of Minimal Invasive intervention, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
1 shared publication
Latest Publications
- Open Access
- 15 May 2026
- Published by Springer Nature in Insights into Imaging
- Vol. 17 (1) , 130
Parameters of dual-layer spectral detector CT for differentiating pathological types of colorectal adenocarcinoma
Objectives: To investigate the diagnostic performance of quantitative parameters derived from Dual-layer spectral detector CT (DLCT) in distinguishing between mucinous adenocarcinoma (MC) and adenocarcinoma not otherwise specified (AC) in colorectal adenocarcinoma (CRAC). Materials and methods: Patients with pathologically confirmed CRAC who underwent preoperative DLCT scanning were enrolled in this retrospective study from May 2022 to September 2024. A propensity score-matching (PSM) approach was employed to balance the important patient characteristics between the MC group and the AC group. DLCT quantitative parameters were compared between the MC and AC groups, and a multifactorial binary logistic stepwise forward regression analysis was conducted to identify independent factors. Receiver operating characteristic (ROC) curves were utilized to evaluate diagnostic efficacy. Results: A total of 260 patients were enrolled in this study. Following PSM, 23 patients with MC and 23 patients with AC were included in the analysis. All DLCT parameters were significantly lower in patients with MC compared to those with AC (all p < 0.01). Electron density (OR = 0.007, 95% CI: 0.000–0.295) and normalized iodine concentration (OR = 0.000, 95% CI: 0.000–0.067) in the venous phase were identified as independent predictors associated with different histopathological types. The combination of these two spectral parameters demonstrated significantly superior diagnostic efficacy compared to conventional CT attenuation values ( p < 0.05), achieving an area under the curve of 0.949, with a sensitivity of 87.0% and a specificity of 91.3%. Conclusions: Quantitative spectral parameters derived from DLCT can effectively differentiate MC from AC preoperatively, exhibiting excellent diagnostic efficacy. Critical relevance statement: DLCT is a reliable diagnostic tool to preoperatively differentiate pathological types of colorectal cancer, thereby facilitating personalized treatment strategies. Key Points: This study investigated the value of dual-layer spectral CT (DLCT) in differentiating the pathological types of colorectal cancer. Quantitative spectral parameters demonstrated excellent accuracy in the diagnosis of mucinous adenocarcinoma. Preoperative DLCT can help clinicians in formulating personalized treatment strategies. Graphical
- 15 May 2026
- Published by Springer Nature in Insights into Imaging
- Vol. 17 (1) , 130
Open AccessParameters of dual-layer spectral detector CT for differentiating pathological types of colorectal adenocarcinoma
Objectives: To investigate the diagnostic performance of quantitative parameters derived from Dual-layer spectral detector CT (DLCT) in distinguishing between mucinous adenocarcinoma (MC) and adenocarcinoma not otherwise specified (AC) in colorectal adenocarcinoma (CRAC). Materials and methods: Patients with pathologically confirmed CRAC who underwent preoperative DLCT scanning were enrolled in this retrospective study from May 2022 to September 2024. A propensity score-matching (PSM) approach was employed to balance the important patient characteristics between the MC group and the AC group. DLCT quantitative parameters were compared between the MC and AC groups, and a multifactorial binary logistic stepwise forward regression analysis was conducted to identify independent factors. Receiver operating characteristic (ROC) curves were utilized to evaluate diagnostic efficacy. Results: A total of 260 patients were enrolled in this study. Following PSM, 23 patients with MC and 23 patients with AC were included in the analysis. All DLCT parameters were significantly lower in patients with MC compared to those with AC (all p < 0.01). Electron density (OR = 0.007, 95% CI: 0.000–0.295) and normalized iodine concentration (OR = 0.000, 95% CI: 0.000–0.067) in the venous phase were identified as independent predictors associated with different histopathological types. The combination of these two spectral parameters demonstrated significantly superior diagnostic efficacy compared to conventional CT attenuation values ( p < 0.05), achieving an area under the curve of 0.949, with a sensitivity of 87.0% and a specificity of 91.3%. Conclusions: Quantitative spectral parameters derived from DLCT can effectively differentiate MC from AC preoperatively, exhibiting excellent diagnostic efficacy. Critical relevance statement: DLCT is a reliable diagnostic tool to preoperatively differentiate pathological types of colorectal cancer, thereby facilitating personalized treatment strategies. Key Points: This study investigated the value of dual-layer spectral CT (DLCT) in differentiating the pathological types of colorectal cancer. Quantitative spectral parameters demonstrated excellent accuracy in the diagnosis of mucinous adenocarcinoma. Preoperative DLCT can help clinicians in formulating personalized treatment strategies. Graphical
- 1 December 2019
- Published by Radiological Society of North America (RSNA) in Radiology
- Vol. 293 (3) , 707-715
Radiofrequency Ablation Following Downstaging of Hepatocellular Carcinoma by Using Transarterial Chemoembolization: Long-term Outcomes
Radiofrequency ablation as first-line treatment achieved the same long-term therapeutic outcomes for downstaged hepatocellular carcinoma as did those that initially met Milan criteria with no diffe... Background Transarterial chemoembolization (TACE) is an effective downstaging procedure for hepatocellular carcinoma (HCC). However, knowledge of the effectiveness of radiofrequency ablation (RFA) ...
- 1 December 2019
- Published by Radiological Society of North America (RSNA) in Radiology
- Vol. 293 (3) , 707-715
Radiofrequency Ablation Following Downstaging of Hepatocellular Carcinoma by Using Transarterial Chemoembolization: Long-term Outcomes
Radiofrequency ablation as first-line treatment achieved the same long-term therapeutic outcomes for downstaged hepatocellular carcinoma as did those that initially met Milan criteria with no diffe... Background Transarterial chemoembolization (TACE) is an effective downstaging procedure for hepatocellular carcinoma (HCC). However, knowledge of the effectiveness of radiofrequency ablation (RFA) ...