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515 citation(s) found for "Yu, Yao".

Integrating ctDNA Analysis and Radiomics for Dynamic Risk Assessment in Localized Lung Cancer
Moding, Everett J. , Esfahani, Mohammad Shahrokh , Jin, Cheng , Hui, Angela B. , Nabet, Barzin Y. , Liu, Yufei , Chabon, Jacob J. , Binkley, Michael S. , Kurtz, David M. , Hamilton, Emily G. , Chaudhuri, Aadel A. , Liu, Chih Long , Bonilla, Rene F., Jiang, Alice L. , Lau, Brianna , Lopez, Pablo , He, Jianzhong, Qiao, Yawei, Yao, Luyang , Gandhi, Saumil , Das, Millie , Ramchandran, Kavitha , Padda, Sukhmani K. , Neal, Joel W. , Wakelee, Heather A. , Li, Ruijiang , Alizadeh, Ash A. , Shahrokh Esfahani, Mohammad , Li, Zhe , Bonilla, Rene F , Jiang, Alice L , Lau, Brianna C , Lopez, Pablo , He, Jianzhong , Qiao, Yawei , Xu, Ting , Yao, Luyang , Gandhi, Saumil , Liao, Zhongxing , Das, Millie , Ramchandran, Kavitha J , Padda, Sukhmani K , Neal, Joel W , Wakelee, Heather A , Gensheimer, Michael F , Loo, Billy W , Li, Ruijiang , Lin, Steven H , Alizadeh, Ash A , Diehn, Maximillian , Binkley, Michael Sargent , Kurtz, David M , Loo, Billy W. , Lin, Steven H. , Diehn, Maximilian

Cancer Discovery | April 29, 2025 | Volume: 15 | Issue: 8 | Pages: 1609-1629

10.1158/2159-8290.cd-24-1704 | PMID 40299851 Get It

Abstract The complementarity and clinical utility of combining liquid biopsies and radiomic image analysis has not been demonstrated. ctDNA minimal residual disease after chemoradiotherapy (CRT) for non–small cell lung cancer (NSCLC) is highly prognostic, but on-treatment biomarkers are needed to enable response-adapted therapies. In this study, we analyzed 418 patients with NSCLC undergoing CRT to develop and validate a novel dynamic risk model that accurately predicts ultimate progression-free survival during treatment. We optimize tissue-free variant calling from plasma samples to facilitate ctDNA monitoring and demonstrate the importance of accounting for persistent clonal hematopoiesis variants. We show that mid-CRT ctDNA concentration is prognostic for disease progression and integrate additional pre-CRT risk factors, including radiomics, into a combined model that improves outcome prediction. Our results suggest that tumor features, radiomics, and mid-CRT ctDNA analysis are complementary and can identify patients at high and low risk of progression to potentially enable response-adapted therapies. Significance: This study demonstrates that combining tumor features, radiomics, and ctDNA analysis improves outcome prediction in NSCLC treated with CRT therapy. Our integrated model could enable personalized and response-adapted therapies to reduce toxicity and improve outcomes in patients. See related commentary by Anagnostou and Aggarwal, p. 1534
Acute Megakaryoblastic Leukemia Masquerading as a Germ Cell Tumor
Olson, Lindsay M., Gurney, Mark E. , Li, Marissa , Yao, Yuan , Johnson, Tucker F. , Olteanu, Horatiu , Gangat, Naseema , Gurney, Mark , Johnson, Tucker, Li, Marissa M , Olson, Lindsay M.

American Journal of Hematology | April 28, 2025 | Volume: 100 | Issue: 11 | Pages: 2099-2101

10.1002/ajh.27698 | PMID 40293222 Get It

Peripheral Iridectomy With Goniosynechialysis and Goniotomy vs Trabeculectomy for Advanced PACG
Lin, Fengbin , Lv, Aiguo , Li, Fei , Song, Yunhe , Xie, Lin , Zhu, Xiaomin , Tang, Li , Zhang, Yao , Huang, Jingjing , Zhang, Hengli , Lŭ, Lan, Xiao, Meichun , Xu, Jiangang , Nie, Xin , Liao, Mengfei, Yang, Yangfan , Gao, Kai , Yuan, Huiping , Song, Wulian , Zuo, Chengguo , Yan, Xiaowei , Wang, Zhenyu , Jin, Ling, Peng, Yu-Ying, Chen, Weirong , Park, Ki Ho , Aung, Tin, Lam, Dennis S.C. , Fan, Sujie , group, TVG study, Liu, Yuhong , Li, Xiaoyan , Zhou, Fengqi, Tang, Guangxian , Nie, Xin, Zuo, Chengguo , Lu, Ping, Zhou, Fengqi , Barton, Keith , Aung, Tin , Weinreb, Robert Neal , Wang, Ning Li , Tham, Clement Chee Yung , Zhang, Xiulan , group, TVG study, Liang, Xiaohong

JAMA Ophthalmology | April 17, 2025 | Volume: 143 | Issue: 6 | Pages: 472

10.1001/jamaophthalmol.2025.0757 | PMID 40244579 Get It

ImportanceThe safety and effectiveness of combining surgical peripheral iridectomy (SPI) with goniosynechialysis (GSL) and goniotomy (GT) vs trabeculectomy for intraocular pressure (IOP) reduction remains unknown.ObjectiveTo investigate the safety and effectiveness at 1 year of SPI + GSL + GT vs trabeculectomy in advanced primary angle-closure glaucoma (PACG) without cataract.Design, Setting, and ParticipantsThis noninferiority randomized clinical trial was conducted at 8 tertiary eye centers in China. A total of 88 Chinese patients (88 eyes) with advanced PACG without cataract were enrolled from January 2022 to July 2023. Data were analyzed from August 2024 to September 2024. Mean (SD) patient age was 60.3 (7.3) years, and 52 patients (59.1%) were female. Forty-three patients were randomized to SPI + GSL + GT and 45 were randomized to trabeculectomy; 86 patients (97.7%) completed the 12-month follow-up.InterventionsParticipants were randomized 1:1 to receive SPI + GSL + GT or trabeculectomy.Main Outcomes and MeasuresThe primary outcome was IOP at 12 months (noninferior margin: 4 mm Hg). Secondary outcomes included surgical success (IOP: 5-18 mm Hg, ≥20% reduction from baseline, with or without antiglaucoma medications); postoperative complications and interventions, including bleb massage, suture lysis, or releasable sutures; and number of antiglaucomatous medications prescribed.ResultsAt 12 months, the SPI + GSL + GT group had a mean (SD) IOP of 15.6 (4.0) mm Hg vs 14.9 (4.2) mm Hg in the trabeculectomy group (difference, 0.5 mm Hg; 95% CI, −1.2 to 2.2; P = .55), which was within the 4-mm Hg noninferiority margin. Qualified success rates were 38 of 43 participants (88.4%) for SPI + GSL + GT and 42 of 45 participants (93.3%) for trabeculectomy (difference, −5.0%; 95% CI, −19.6% to 8.5%; P = .48). However, complete success rates were lower in the SPI + GSL + GT group (26 participants [60.5%]) vs the trabeculectomy group (37 participants [82.2%]; difference, −21.8%; 95% CI, −40.2% to −2.4%; P = .03). Postoperative complications were present for 8 participants (18.6%) in the SPI + GSL + GT group vs 9 participants (20.0%) in the trabeculectomy group (difference, −1.4%; 95% CI, −17.9% to 15.1%; P = .71). Postoperative interventions were lower in the SPI + GSL + GT group (3 participants [7.0%] vs 25 participants [55.6%]; difference, 48.6%; 95% CI, 32.2%-65.0%; P < .001). Median (IQR) numbers of medications used decreased from 2 (0-3) to 0 (0-1) in the SPI + GSL + GT group and from 2 (2-3) to 0 (0-0) in the trabeculectomy group (difference, −0.81; 95% CI, −1.36 to −0.26; P = .004).Conclusions and RelevanceIn this randomized clinical trial among patients with advanced PACG without cataract, SPI + GSL + GT demonstrated noninferiority (4-mm Hg margin) to trabeculectomy for IOP at 12 months, with fewer interventions (including bleb massage, suture lysis, or releasable sutures) but no difference in postoperative medication use. This suggests SPI + GSL + GT as a potential alternative to trabeculectomy for similar cases, pending validation in larger sample sizes with smaller noninferiority margins.Trial RegistrationClinicalTrials.gov Identifier: NCT05163951
Challenges and Opportunities in Cytopathology Artificial Intelligence
VandeHaar, Meredith A. , Alasi, Hussien , Doganay, Fatih, Alazab, Heba, Xiao, Yao , Balan, Jagadheshwar , Dangott, Bryan, Nassar, Aziza , Akkus, Zeynettin , Al-Asi, Hussien , Yilmaz, Ibrahim, Balan, Jagadheshwar , Dangott, Bryan J, Nassar, Aziza , Akkus, Zeynettin , Yilmaz, Ibrahim, Reynolds, Jordan

Bioengineering | February 13, 2025 | Volume: 12 | Issue: 2 | Pages: 176

10.3390/bioengineering12020176 | PMID 40001695 Get It

Artificial Intelligence (AI) has the potential to revolutionize cytopathology by enhancing diagnostic accuracy, efficiency, and accessibility. However, the implementation of AI in this field presents significant challenges and opportunities. This review paper explores the current landscape of AI applications in cytopathology, highlighting the critical challenges, including data quality and availability, algorithm development, integration and standardization, and clinical validation. We discuss challenges such as the limitation of only one optical section and z-stack scanning, the complexities associated with acquiring high-quality labeled data, the intricacies of developing robust and generalizable AI models, and the difficulties in integrating AI tools into existing laboratory workflows. The review also identifies substantial opportunities that AI brings to cytopathology. These include the potential for improved diagnostic accuracy through enhanced detection capabilities and consistent, reproducible results, which can reduce observer variability. AI-driven automation of routine tasks can significantly increase efficiency, allowing cytopathologists to focus on more complex analyses. Furthermore, AI can serve as a valuable educational tool, augmenting the training of cytopathologists and facilitating global health initiatives by making high-quality diagnostics accessible in resource-limited settings. The review underscores the importance of addressing these challenges to harness the full potential of AI in cytopathology, ultimately improving patient care and outcomes.
Multi-modal AI for Opportunistic Screening, Staging and Progression Risk Stratification of Steatotic Liver Disease
Gao, Yuan , Li, Chun Li, Chang, W., Du, Bai , Ye, Xianghua , Xia, Ying , Liu, Wei , Bai, Ruo Bing, Li, Bei Bei, Hong, Yang , Cao, Kai , Yan, Ke , Li, Chunli , Chang, Wanxing , Du, Bai , Yeo, Yee Hui , Xia, Yingda , Guo, Heng, Zhang, Xiaoming , Bai, Ruobing , Li, Beibei , Hong, Yang , Yao, Jiawen , Lu, Le , Cao, Kai , Yan, Ke , Chen, Jun, Li, Jie , Hou, Yang (Greg), Zhang, Ling , Shi, Yu

No container title available | February 11, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-5783643/v1 Get It

Abstract The prevalence of steatotic liver disease (SLD) is rising globally, presenting a significant public health challenge. While non-contrast computed tomography (CT) scans hold promise for the opportunistic detection of SLD, their full potential has not been systematically explored. Clinical indicators, such as serum data, are crucial for monitoring the progression of SLD. We introduce a novel Multimodal AI for Opportunistic Steatotic Liver Disease Screening (MAOSS), which integrates demographic data, serum tests, conventional CT biomarkers, and deep learning-derived CT image features to enhance model performance and explainability. MAOSS employs an innovative learning strategy, trained on a large-scale dataset (n = 1,783) encompassing both histopathologically-confirmed SLD and radiologically-reported steatosis cases. The model underwent extensive retrospective validation using steatosis grades derived from both histology and MRI-PDFF across internal and external datasets (n = 913), as well as real-world patient data (n = 18,504). It accurately detected mild to severe steatosis (≥ S1) with AUCs ranging from 0.903 to 0.929. Notably, MAOSS significantly improved the overall AUC for radiologists (n = 11) from 0.709 to 0.798 (p < 0.001). Furthermore, MAOSS was applied to optimize the standard clinical pathway for a simulated primary risk screening of SLD patients (n = 1,192), resulting in the identification of 31% more patients at risk of steatohepatitis and liver fibrosis progression, highlighting its potential to enhance SLD detection and management.
Advanced External Beam Stereotactic Radiotherapy for Skull Base Reirradiation
Wang, He , Alsanea, Fahed , Zhang, X , Liu, Wei , Yang, Jinzhong , Williamson, Tyler D. , Hunter, Rachel , Balter, Peter , Briere, Tina M. , Zhu, Ronald X., Moreno, Amy C. , Reddy, Jay P. , Rosenthal, D.I., Gunn, Gary B., Phan, Jack , Liu, Wei , Yang, Jinzhong , Williamson, Tyler D , Hunter, Rachel A , Briere, Tina M , Moreno, Amy C , Reddy, Jay P , Phan, Jack , Rhee, Dong Joo , Wen, Zhifei , Zhao, Yao Jiang , Lee, Anna , Garden, Adam S. , Gunn, Gary B.

Cancers | February 6, 2025 | Volume: 17 | Issue: 3 | Pages: 540

10.3390/cancers17030540 | PMID 39941906 Get It

Background/Objectives: Stereotactic body radiation therapy (SBRT) for skull base reirradiation is particularly challenging, as patients have already received substantial radiation doses to the region, and nearby normal organs may have approached their tolerance limit from prior treatments. In this study, we reviewed the characteristics and capabilities of four advanced external beam radiation delivery systems and four modern treatment planning systems and evaluated the treatment plan quality of each technique using skull base reirradiation patient cases. Methods: SBRT plans were generated for sixteen skull base reirradiation patients using four modalities: the GK plan for the Elekta Leksell Gamma Knife Perfexion/ICON, the CyberKnife (CK) plan for the Accuray CyberKnife, the intensity-modulated proton therapy (IMPT) plan for the Hitachi ProBeat-FR proton therapy machine, and the volumetric-modulated arc therapy (VMAT) plan for the Varian TrueBeam STx. These plans were evaluated and compared using two novel gradient indices in addition to traditional dosimetry metrics for targets and organs at risk (OARs). The steepest border gradient quantified the percent prescription dose fall-off per millimeter at the boundary between the target and adjacent critical structures. This gradient index highlighted the system’s ability to spare nearby critical OARs. The volume gradient assessed the extent of dose spread outside the target toward the patient’s body. Results: All plans achieved comparable target coverage and conformity, while IMPT and VMAT demonstrated significantly better uniformity. The GK plans exhibited the highest border gradient, up to 20.9%/mm, followed by small-spot-size IMPT plans and CK plans. Additionally, IMPT plans showed the benefit of reduced dose spread in low-dose regions and the lowest maximum and mean doses to the brainstem and carotid artery. Conclusions: The advanced external beam radiotherapy modalities evaluated in this study are well-suited for SBRT in skull base reirradiation, which demands precise targeting of tumors with highly conformal doses and steep dose gradients to protect nearby normal structures.
Fruquintinib plus best supportive care for patients with metastatic colorectal cancer: Characterization of patients who had an overall survival of ≥10 months in the FRESCO-2 study.
Randrian, Violaine , Sobrero, Alberto F. , Höchster, Howard S. , Cutsem, Eric Van, Yu, Ziji, Dong, Cynthia, Schelman, William R., Kasper, Stefan , Bianchi, Andrea Sartore , Cremolini, Chiara , Arnold, Dirk , Dasari, Arvind , Eng, Cathy , Lonardi, Sara , Élez, Elena , Yoshino, Takayuki , Yao, James C. , Cutsem, Eric Van , Tougeron, David , Dong, Cynthia, Ghiringhelli, François

Journal of Clinical Oncology | January 27, 2025 | Volume: 43 | Issue: 4_suppl | Pages: 142-142

10.1200/jco.2025.43.4_suppl.142 Get It

142 Background: Fruquintinib (F) is a highly selective, oral tyrosine kinase inhibitor of all 3 vascular endothelial growth factor receptors (VEGFRs -1, -2, -3) that is approved by the US FDA and in the EU, UK, and Japan for previously treated metastatic colorectal cancer (mCRC), regardless of biomarker status. FRESCO-2 (NCT04322539) met its primary endpoint demonstrating significantly improved overall survival (OS) with F + best supportive care (BSC) vs placebo (P) + BSC. This subgroup analysis assessed landmark survival of all FRESCO-2 patients (pts), and baseline (BL) characteristics and safety data of pts treated with F who had OS ≥10 months (mos) compared with the intent-to-treat (ITT) population (pop). Methods: Pts were randomized 2:1 to receive F 5 mg or matching P, by mouth, once daily, 3 weeks on, 1 week off, + BSC. Pts had received prior chemotherapy, anti-VEGF therapy and, if RAS wild type, anti-EGFR therapy; and had prior exposure to trifluridine/tipiracil (TAS-102) and/or regorafenib. The hazard ratio (HR) between the two treatment arms was calculated from a stratified Cox proportional hazard model with treatment group as the only covariate in the model. Results: In the ITT pop, OS was improved with F vs P (HR 0.66); OS rates (95% confidence intervals [CIs]) at 6 and 9 mos were 60.4% (55.9–64.9) vs 41.5% (35.0–48.0) and 41.1% (36.4–45.8) vs 28.2% (22.1–34.3), respectively. Progression-free survival (PFS) rates (95% CIs) at 6 and 9 mos were 23.8% (19.7–28.0) vs 1.1% (0–2.6) and 11.3% (8.1–14.6) vs 0.5% (0–1.6), respectively. Of 461 pts who received F, 113 (24.5%) had OS ≥10 mos (range 10.0–18.9) with a median duration of F treatment of 6.3 mos (range 0.7–19.1). Among pts receiving F, a higher proportion (≥10% difference) of pts with OS ≥10 mos had no liver metastases (mets) and an Eastern Cooperative Oncology Group performance status (ECOG PS) of 0 at BL compared with the ITT pop (Table). In pts with OS ≥10 mos, 61.9% experienced a grade ≥3 treatment-emergent adverse event compared with 62.7% in the ITT pop. Conclusions: Longer-term OS and PFS rates at 6 and 9 mos were higher with F vs P in the FRESCO-2 ITT pop. The data show a higher proportion of pts with OS ≥10 mos had an absence of liver mets and ECOG PS 0 at BL than the ITT pop. The safety profile of F in pts with OS ≥10 mos was consistent with the ITT pop. Clinical trial information: NCT04322539 . BL characteristics of pts treated with F with OS ≥10 mos vs ITT pop. BL characteristic Pts with OS ≥10 mos (n=113) ITT pop(n=461) ECOG PS (0 / 1), % 54.0 / 46.0 42.5 / 57.5 Median time since 1 st CRC diagnosis, mos 52.0 47.2 Primary tumor location at 1 st diagnosis (colon / rectum / both), % 51.3 / 35.4 / 13.3 60.5 / 31.0 / 8.5 Primary site at 1 st diagnosis (colon left / colon right), % 42.5 / 15.9 41.6 / 21.0 Liver mets, % 58.4 73.5 Median duration of mCRC, mos 42.7 37.9 Prior lines of therapy for mCRC (≤3 / >3), % 26.5 / 73.5 27.1 / 72.9 Prior TAS-102, % 46.9 52.1 Prior regorafenib, % 12.4 8.7