Yuan-Mao Lin

Dr. Yuan-Mao Lin

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2023 in Radiology
Verified
Journal Article
Closed access
YLYuan-Mao Lin
Yuan-Mao Lin
IPIwan Paolucci
Iwan Paolucci
COCaleb S. O’connor
Caleb S. O’connor
BABrian Mark Anderson
Brian Mark Anderson
BRBastien Rigaud
Bastien Rigaud
BOBruno C. Odisio
Bruno C. Odisio
Ablative margin quantified using biomechanical deformable CT image registration with artificial intelligence–based autosegmentation was strongly associated and spatially localized within local dise... Background Confirming ablation completeness with sufficient ablative margin is critical for local tumor control following colorectal liver metastasis (CLM) ablation. An image-based confirmation met...

1 January 2017 in World Journal of Gastroenterology
Verified
Journal Article
Open access
YLYuan-Mao Lin
Yuan-Mao Lin
NCNai-Chi Chiu
Nai-Chi Chiu
ALAnna Fen-Yao Li
Anna Fen-Yao Li
CLChien-An Liu
Chien-An Liu
YCYi-Hong Chou
Yi-Hong Chou
YCYi-You Chiou
Yi-You Chiou
Although gastric tumors have overlapping radiologic appearances, some unusual tumors may present specific imaging features. Using multidetector computed tomography (MDCT), with water as a negative oral contrast agent and intravenous contrast medium, can provide critical information for the diagnosis of gastric diseases. In addition, MDCT can evaluate the involvement of the gastric wall and extragastric extent of the disease, as compared with gastroenteroscopy and double-contrast upper gastrointestinal study. Regarding lesion location and size, enhancing and growth patterns, presence of calcification or fat, and involvement of the gastric wall and adjacent structures, CT may provide useful information. In this review article, we review the relevant literature and discuss the CT features and the histopathologic findings of different types of gastric lesions. The lesions are divided into benign (glomus tumors, schwannomas, leiomyomas, and lipomas), malignant (gastrointestinal stromal tumors, mucinous carcinomas, lymphomas, and carcinoid tumors), and tumor-like lesions (ectopic pancreas and bezoar). Familiarity with imaging appearances and pathologic findings can help physicians make an accurate diagnosis.

4 August 2021 in Cancers
Verified
Journal Article
Open access
PDF file
YLYuan-Mao Lin
Yuan-Mao Lin
IPIwan Paolucci
Iwan Paolucci
Kristy K BrockKristy K Brock
Kristy K Brock
BOBruno C. Odisio
Bruno C. Odisio
Image-guided ablation can provide effective local tumor control in selected patients with CLM. A randomized controlled trial suggested that radiofrequency ablation combined with systemic chemotherapy resulted in a survival benefit for patients with unresectable CLM, compared to systemic chemotherapy alone. For small tumors, ablation with adequate margins can be considered as an alternative to resection. The improvement of ablation technologies can allow the treatment of tumors close to major vascular structures or bile ducts, on which the applicability of thermal ablation modalities is challenging. Several factors affect the outcomes of ablation, including but not limited to tumor size, number, location, minimal ablation margin, RAS mutation status, prior hepatectomy, and extrahepatic disease. Further understanding of the impact of tumor biology and advanced imaging guidance on overall patient outcomes might help to tailor its application, and improve outcomes of image-guided ablation.

21 September 2022
Verified
Book Chapter
Closed access
PDF file
McKell WoodlandMcKell Woodland
McKell Woodland
JWJohn Wood
John Wood
BABrian Mark Anderson
Brian Mark Anderson
SKSuprateek Kundu
Suprateek Kundu
ELEthan Lin
Ethan Lin
Kristy K BrockKristy K Brock
Kristy K Brock

7 October 2023 in Investigative Radiology
Verified
Journal Article
Closed access
YLYuan-Mao Lin
Yuan-Mao Lin
IPIwan Paolucci
Iwan Paolucci
JSJessica Albuquerque Marques Silva
Jessica Albuquerque Marques Silva
COCaleb S. O'COnnor
Caleb S. O'COnnor
BFBryan M. Fellman
Bryan M. Fellman
BOBruno C. Odisio
Bruno C. Odisio
Objectives: The aim of this study was to investigate the prognostic value of 3-dimensional minimal ablative margin (MAM) quantified by intraprocedural versus initial follow-up computed tomography (CT) in predicting local tumor progression (LTP) after colorectal liver metastasis (CLM) thermal ablation. Materials and Methods: This single-institution, patient-clustered, tumor-based retrospective study included patients undergoing microwave and radiofrequency ablation between 2016 and 2021. Patients without intraprocedural and initial follow-up contrast-enhanced CT, residual tumors, or with follow-up less than 1 year without LTP were excluded. Minimal ablative margin was quantified by a biomechanical deformable image registration method with segmentations of CLMs on intraprocedural preablation CT and ablation zones on intraprocedural postablation and initial follow-up CT. Prognostic value of MAM to predict LTP was tested using area under the curve and competing-risk regression model. Results: A total of 68 patients (mean age ± standard deviation, 57 ± 12 years; 43 men) with 133 CLMs were included. During a median follow-up of 30.3 months, LTP rate was 17% (22/133). The median volume of ablation zone was 27 mL and 16 mL segmented on intraprocedural and initial follow-up CT, respectively (P < 0.001), with corresponding median MAM of 4.7 mm and 0 mm, respectively (P < 0.001). The area under the curve was higher for MAM quantified on intraprocedural CT (0.89; 95% confidence interval [CI], 0.83–0.94) compared with initial follow-up CT (0.66; 95% CI, 0.54–0.76) in predicting 1-year LTP (P < 0.001). An MAM of 0 mm on intraprocedural CT was an independent predictor of LTP with a subdistribution hazards ratio of 11.9 (95% CI, 4.9–28.9; P < 0.001), compared with 2.4 (95% CI, 0.9–6.0; P = 0.07) on initial follow-up CT. Conclusions: Ablative margin quantified on intraprocedural CT significantly outperformed initial follow-up CT in predicting LTP and should be used for ablation endpoint assessment.

1 April 2018 in European Journal of Radiology
Verified
Journal Article
Closed access
YLYuan-Mao Lin
Yuan-Mao Lin
YCYi-You Chiou
Yi-You Chiou
MWMei-Han Wu
Mei-Han Wu
SHShan-Su Huang
Shan-Su Huang
SSShu-Huei Shen
Shu-Huei Shen