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59 citation(s) found for "Swathi, N L".

Discovery and Validation of Molecular Biomarkers for Differentiation of Nondysplastic Barrett’s Esophagus from High-grade Dysplasia and Esophageal Adenocarcinoma
Matchett, Caroline L. , Taylor, William R. , Berger, Calise K. , Anderson, Caryn E., Passe, Melissa, Lansing, Ramona, Wang, Panwen , Chalmers, Collin E., Foote, Patrick H. , Eckel‐Passow, Jeanette E. , Codipilly, Don C. , Leggett, Cadman L. , Ramirez, Francisco C. , Wolfsen, Herbert C. , Eluri, Swathi , Konda, Vani J. , Iyer, Prasad G. , Slettedahl, Seth W , Taylor, William R , Berger, Calise K , Anderson, Caryn E , Passe, Melissa A , Lansing, Ramona M , Wang, Panwen , Chalmers, Collin E , Foote, Patrick H , Eckel-Passow, Jeanette E , Sun, Zhifu , Mahoney, Douglas W , Codipilly, Don Chamil , Leggett, Cadman L , Ramirez, Francisco C , Kahn, Allon , Wolfsen, Herbert C , Eluri, Swathi , Konda, Vani , Trindade, Arvind J , Iyer, P G , Kisiel, John B , Slettedahl, Seth W. , Sun, Zhifu , Mahoney, Douglas W. , Kahn, Allon , Trindade, Arvind J. , Kisiel, John B.

Cancer Prevention Research | October 8, 2025 | Volume: 19 | Issue: 1 | Pages: 49-60

10.1158/1940-6207.capr-25-0215 | PMID 41059926 Get It

Abstract Aberrant DNA methylation and copy-number alterations (CNA) drive Barrett’s esophagus progression to esophageal adenocarcinoma; however, their combined utility for early detection is unclear. We aimed to identify and validate methylated DNA markers (MDM) and CNAs to distinguish esophageal adenocarcinoma/high-grade dysplasia (HGD) from nondysplastic Barrett’s esophagus (NDBE). In this multiphase, multicenter study, we discovered and validated MDMs and quantified CNAs utilizing whole-genome methylation sequencing of esophageal brushings. DNA biomarkers identified from discovery were further validated in independent patients with paired esophageal brushing and swallowed capsule sponge samples. MDMs were filtered against a reduced representation bisulfite sequencing dataset obtained from independent tissue samples to advance only concordant candidates. CNA burden was quantified using ichorCNA-derived aneuploidy scores (AS). Two hundred MDMs discovered in HGD (N = 18) and esophageal adenocarcinoma (N = 18) versus NDBE brushing samples (N = 18) were tested in independent samples (N = 146). A 52-MDM panel achieved a cross-validated AUC of 0.88 [95% confidence interval (CI), 0.82–0.95]; the addition of AS improved discrimination of HGD/esophageal adenocarcinoma from NDBE to 0.91 (95% CI, 0.86–0.97) AUC. At 80% specificity, the combined model detected 93% of esophageal adenocarcinoma and 88% of HGD cases. In paired capsule sponge samples, a 58-MDM panel achieved a cross-validated AUC of 0.77 (95% CI, 0.66–0.88); a combined 58-MDM and AS model achieved AUC 0.80 (95% CI, 0.7–0.9). MDMs and AS discerned HGD/esophageal adenocarcinoma from normal esophagus/NDBE in endoscopic brushing and capsule sponge samples. This approach may improve Barrett’s esophagus surveillance. Prevention Relevance: This study demonstrates that combining epigenetic and genomic biomarkers across minimally invasive sampling methods can accurately distinguish HGD/esophageal adenocarcinoma from nondysplastic Barrett’s esophagus, offering promising, less invasive strategies to improve BE surveillance and enable endoscopic therapy for esophageal adenocarcinoma prevention and treatment.
Artificial Intelligence-Enhanced Liquid Biopsy and Radiomics in Early-Stage Lung Cancer Detection: A Precision Oncology Paradigm
Cherukuri, Swathi Priya , Kaur, Anmolpreet , Goyal, Bipasha, Kukunoor, Hanisha Reddy , Sahito, Areesh Fatima, Sachdeva, Pratyush , Yerrapragada, Gayathri, Poonguzhali, E. , Shariff, Mohammed Naveed , Natarajan, T.K. , Janarthanan, Jayarajasekaran, Richard, Samuel, Venkatesaprasath, Shakthidevi Pallikaranai, Karuppiah, Shiva Sankari, Iyer, Vivek , Helgeson, Scott A. , Arunachalam, Shivaram P. , Kaur, Anmolpreet , Natarajan, Thangeswaran , Pallikaranai Venkatesaprasath, Shakthidevi, Iyer, Vivek N , Arunachalam, S P , Helgeson, Scott A , Shariff, Mohammad Naveed , Sahito, Areesh Fatima , Natarajan, Thangeswaran

Cancers | September 29, 2025 | Volume: 17 | Issue: 19 | Pages: 3165

10.3390/cancers17193165 | PMID 41097693 Get It

Background: Lung cancer remains the leading cause of cancer-related mortality globally, largely due to delayed diagnosis in its early stages. While conventional diagnostic tools like low-dose CT and tissue biopsy are routinely used, they suffer from limitations including invasiveness, radiation exposure, cost, and limited sensitivity for early-stage detection. Liquid biopsy, a minimally invasive alternative that captures circulating tumor-derived biomarkers such as ctDNA, cfRNA, and exosomes from body fluids, offers promising diagnostic potential—yet its sensitivity in early disease remains suboptimal. Recent advances in Artificial Intelligence (AI) and radiomics are poised to bridge this gap. Objective: This review aims to explore how AI, in combination with radiomics, enhances the diagnostic capabilities of liquid biopsy for early detection of lung cancer and facilitates personalized monitoring strategies. Content Overview: We begin by outlining the molecular heterogeneity of lung cancer, emphasizing the need for earlier, more accurate detection strategies. The discussion then transitions into liquid biopsy and its key analytes, followed by an in-depth overview of AI techniques—including machine learning (e.g., SVMs, Random Forest) and deep learning models (e.g., CNNs, RNNs, GANs)—that enable robust pattern recognition across multi-omics datasets. The role of radiomics, which quantitatively extracts spatial and morphological features from imaging modalities such as CT and PET, is explored in conjunction with AI to provide an integrative, multimodal approach. This convergence supports the broader vision of precision medicine by integrating omics data, imaging, and electronic health records. Discussion: The synergy between AI, liquid biopsy, and radiomics signifies a shift from traditional diagnostics toward dynamic, patient-specific decision-making. Radiomics contributes spatial information, while AI improves pattern detection and predictive modeling. Despite these advancements, challenges remain—including data standardization, limited annotated datasets, the interpretability of deep learning models, and ethical considerations. A push toward rigorous validation and multimodal AI frameworks is necessary to facilitate clinical adoption. Conclusion: The integration of AI with liquid biopsy and radiomics holds transformative potential for early lung cancer detection. This non-invasive, scalable, and individualized diagnostic paradigm could significantly reduce lung cancer mortality through timely and targeted interventions. As technology and regulatory pathways mature, collaborative research is crucial to standardize methodologies and translate this innovation into routine clinical practice.
Multiparametric MRI for Diagnosing Clinically Significant Portal Hypertension and Predicting Liver Decompensation
Bhuiyan, Enamul , Geahchan, Amine , Altınmakas, Emre , Abboud, Ghadi , Pavuluri, Swathi, Ehman, Richard L. , Lewis, Sara , Bansal, Meena B. , Thung, Swan N. , Schiano, Thomas D. , Taouli, Bachir, Bhuiyan, Enamul , Kennedy, Paul , Ehman, Richard , Ozkaya, Efe , Bane, Octavia , Hectors, Stefanie J. C. G. , Pavuluri, Swathi, Yin, Meng , Fischman, Aaron M. , Taouli, Bachir

Liver International | September 27, 2025 | Volume: 45 | Issue: 11 | Pages: No page available

10.1111/liv.70368 | PMID 41014103 Get It

ABSTRACT Background and Aims Clinically significant portal hypertension (CSPH; hepatic venous pressure gradient (HVPG) ≥ 10 mmHg) is a severe complication of chronic liver disease, with increased risk of variceal bleeding and liver decompensation (at HVPG ≥ 12 mmHg). This study evaluated the performance of multiparametric (mp)MRI for diagnosing CSPH and predicting liver decompensation, compared to ultrasound‐based shear wave elastography (SWE) and blood tests. Methods In this prospective single‐centre study (2018–2022), 59 patients (M 30, mean age 52.7 years) underwent mpMRI and HVPG measurement, with an average interval of 32 ± 31 days. The mpMRI protocol included 2D/3D MR elastography (MRE), T 1 /proprietary iron‐compensated T 1 (cT 1 )/T 1ρ mapping, gadoxetate‐enhanced dynamic contrast‐enhanced MRI (DCE‐MRI) of the liver and spleen, SWE and blood tests. Statistical analyses included Mann–Whitney U tests, ROC analysis, logistic regression and Cox proportional hazards models. Results CSPH was present in 13 patients (22%). Several MRI parameters showed high diagnostic performance for CSPH (AUC ≥ 0.8), with spleen stiffness‐2D MRE (AUC 0.88, 95% confidence interval (CI) 0.78–0.98) and liver uptake on DCE‐MRI (AUC 0.83, 95% CI 0.70–0.96) performing best, while SWE had AUCs of 0.63 (95% CI 0.45–0.81) for liver and 0.67 (95% CI 0.44–0.89) for spleen. Combining spleen stiffness‐2D MRE and liver uptake achieved an AUC of 0.93 (95% CI 0.86–1.00) for diagnosing CSPH. For predicting decompensation, spleen stiffness‐3D MRE and liver uptake rate had AUCs of 0.83 (95% CI 0.68–0.99) and 0.83 (95% CI 0.70–0.95), respectively, outperforming SWE. Conclusions Spleen stiffness measured with MRE combined with gadoxetate liver uptake (measured with DCE‐MRI) can diagnose CSPH and predict liver decompensation, with superior performance compared to SWE. Trial Registration ClinicalTrials.gov identifier: NCT03436550
Endoscopic response to topical steroids is associated with a need for fewer future esophageal dilations
LaFata, Sean , Thel, Hannah L., Cameron, Brenderia A., Xue, Angela Z., Kiran, Akshatha , Ocampo, Adolfo A., McCallen, Justin , Borinsky, Stephanie A., Redd, Walker D. , Barlowe, Trevor , Kaakati, Rayan , Eluri, Swathi , Reed, Craig C. , Dellon, Evan S., Dellon, Evan S. , Gee, Timothy S, Lee, Christopher J, Borinsky, Stephanie A. , Cotton, Cary C.

Diseases of the Esophagus | May 12, 2025 | Volume: 38 | Issue: 3 | Pages: No page available

10.1093/dote/doaf032 | PMID 40350978 Get It

Summary The eosinophilic esophagitis (EoE) Endoscopic Reference Score (EREFS) measures endoscopic severity. While a score of ≤2 has been proposed for endoscopic response, it is unknown whether achieving this threshold results in clinically important outcomes. We aimed to determine whether an EREFS response to topical steroids (tCS) is associated with a decreased need for future esophageal dilation. In this retrospective cohort study, we included patients with a new diagnosis of EoE who underwent esophageal dilation, were then treated with tCS, and had at least two follow-up endoscopies. Endoscopic response was defined as EREFS ≤2. Histological and global symptom responses were recorded. We compared patients with and without endoscopic response and calculated the number of subsequent dilations in each group. Of 113 EoE patients, 55 (49%) had endoscopic response post-tCS. Compared to endoscopic non-responders, responders were older (43.4 vs 34.4 years; p = 0.001) and had lower EREFS (4.4 ± 1.6 vs. 6.3 ± 1.5; p < 0.001) at baseline. EREFS responders required fewer dilations on their initial post-treatment endoscopy (65% vs 90%; p = 0.002) and had greater symptom (92% vs 64%; p = 0.005) and histologic responses (82% vs 24% <15 eos/hpf; p < 0.001). Over the median follow-up time of 1106 days, EREFS responders required fewer dilations than non-responders (4.5 ± 2.9 vs 6.2 ± 4.5; p = 0.03). Endoscopic responders to tCS required fewer esophageal dilations compared to non-responders. Responders also had better symptom and histologic responses. These results provide evidence that endoscopic response is associated with important clinical outcomes including a reduction in future esophageal dilations.
Appendectomy vs Right Hemicolectomy for Pediatric Neuroendocrine Tumor of the Appendix in a National Cohort: A Call to Further Decrease Colectomy
Potter, D. Dean , Day, Courtney N. , Raikot, Swathi R. , Potter, Donald Dean, Gudmundsdottir, Hallbera , Polites, Stephanie F. , Allen‐Rhoades, Wendy , Habermann, Elizabeth B.

Journal of the American College of Surgeons | May 5, 2025 | Volume: 241 | Issue: 4 | Pages: 620-625

10.1097/xcs.0000000000001435 | PMID 40323032 Get It

BACKGROUND: Children continue to undergo right hemicolectomy (RHC) for neuroendocrine tumors (NET) of the appendix based on adult guidelines. Appendectomy alone is recommended for the pediatric population; however, there are no data on safety of this approach in the setting of positive margins. This study aimed to determine the association between tumor characteristics and survival in a national cohort, hypothesizing that survival would be excellent despite high-risk features including positive margins on appendectomy. STUDY DESIGN: Patients 18 years of age or younger with NET of the appendix were identified in the National Cancer Database from 2004 to 2022 using ICD-O-3 codes. Characteristics of patients who underwent definitive appendectomy vs RHC were compared using chi-square tests. Five-year survival was determined for appendectomy patients with and without high-risk size, margin, and lymph node (LN) features. RESULTS: Of 1,339 patients, 1,156 (86%) underwent appendectomy and 183 (14%) RHC. Median age in both groups was 15 (13 to 17) years. Patients who underwent RHC had larger tumors (24% vs 4%, greater than 2 cm, p < 0.001), more lymphovascular invasion (31% vs 10%, p < 0.001), and were more likely to undergo LN assessment (82% vs 10%, p < 0.001) with a higher LN positivity rate (31% vs 16%, p = 0.006). There was no difference in margins status (p = 0.76). The 5- and 10-year survival was excellent regardless of tumor characteristics for patients overall (99.9% and 99.4%, respectively) and for those who underwent definitive appendectomy (99.9% and 99.2%). CONCLUSIONS: These data further support appendectomy as definitive management for children with appendiceal NET. Additional resection does not confer a survival benefit even in the setting of positive margins.
Cognitive Deficits in Late-Life Depression: From Symptoms and Assessment to Therapeutics
Teixeira, Antônio Lúcio , Gregg, Allison, Gentry, Melanie T. , Rapp, Ellie, Oberlin, Lauren E. , Ajilore, Olusola , Teixeira, Antonio L , Gujral, Swathi , Oberlin, Lauren, Ajilore, Olusola , Weisenbach, Sara, Gentry, Melanie T , Rapp, Ellie, Weisenbach, Sara L. , Patrick, Regan

Focus | April 15, 2025 | Volume: 23 | Issue: 2 | Pages: 183-194

10.1176/appi.focus.20240046 | PMID 40235602 Get It

Pediatric Central Nervous System Cancers, Version 2.2025, NCCN Clinical Practice Guidelines In Oncology
Gajjar, Amar , Mahajan, Anita , Canan, Liz, Chi, Susan , Cluster, Andrew , Cole, Bonnie , Darlington, Wendy , Dorris, Kathleen , Elster, Jennifer , Franson, Andrea , Helgager, Jeffrey, Lin, Chi , Metrock, Laura, Nanda, Ronica H. , Partap, Sonia , Plant, Ashley , Reynolds, Renée M. , Stearns, Duncan , Storm, Phillip, Wang, Leo D. , Whipple, Nicholas , Zaky, Wafik , McMillian, Nicole R., Ramakrishnan, Swathi , Franson, Andrea , Bale, Tejus , Bowers, Daniel C. , Cohen, Kenneth J. , Coven, Scott L. , Ermoian, Ralph P. , George, Elizabeth , Landi, Daniel B. , Palmer, Joshua D. , Pruthi, Sumit , Wang, Anthony

Journal of the National Comprehensive Cancer Network | March 12, 2025 | Volume: 23 | Issue: 3 | Pages: 113-130

10.6004/jnccn.2025.0012 | PMID 40073837 Get It

The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Pediatric Central Nervous System Cancers provide multidisciplinary diagnostic workup, staging, and treatment recommendations for diffuse high-grade gliomas and medulloblastomas in children and adolescents. This article summarizes the studies and panel discussion that serve as the rationale for comprehensive care recommendations included in the NCCN Guidelines for Pediatric Central Nervous System Cancers.
NCCN Guidelines® Insights: Lung Cancer Screening, Version 1.2025
Wood, Douglas E. , Kazerooni, Ella A. , Argento, Christine, Baines, Jonathan, Boer, Brian, Donington, Jessica , Eapen, Georgie A. , Ferguson, J. Scott , Hou, Lifang , Klippenstein, Donald, Kolansky, Ana S., Leung, Ann N. , Mazzone, Peter J. , Merritt, Robert E. , Norris, Kim, Onaitis, Mark W. , Pipavath, Sudhakar, Puri, Varun , Raz, Dan J. , Reddy, Chakravarthy, Reid, Mary E. , Sandler, Kim L. , Sears, Catherine R. , Tanoue, Lynn, Thacker, Amber L., Tong, Betty C. , Wei, Benjamin , McCullough, Beth, Ramakrishnan, Swathi , Hou, Lifang , Leung, Ann , Aberle, Denise R. , Brown, Lisa Marie , Kumar, Rohit , Leard, Lorriana E. , Sands, Jacob , Schabath, Matthew B. , Studts, Jamie L. , Thacker, Amber L., Travis, William D. , Westover, Kenneth D.

Journal of the National Comprehensive Cancer Network | January 15, 2025 | Volume: 23 | Issue: 1 | Pages: No page available

10.6004/jnccn.2025.0002 | PMID 39819601 Get It

The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Lung Cancer Screening provide criteria for selecting individuals for screening and offer recommendations for evaluating and managing lung nodules detected during initial and subsequent annual screening. These NCCN Guidelines Insights focus on recent updates to the NCCN Guidelines for Lung Cancer Screening.
High prevalence of esophageal motility disorders in patients with rheumatologic diseases
Reddy, Sumana, Patel, Beyla, Dellon, Evan S., Eluri, Swathi , Dellon, Evan S.

Diseases of the Esophagus | November 26, 2024 | Volume: 38 | Issue: 1 | Pages: No page available

10.1093/dote/doae108 | PMID 39586592 Get It

Summary While it is commonly known that patients with rheumatologic diseases can have esophageal dysfunction, this association is insufficiently understood. The aim is to determine the prevalence and characteristics of esophageal motility disorders in patients with rheumatic diseases. This is a single-center retrospective study of adults with rheumatologic disease who underwent high-resolution esophageal manometry (HREM). Those with and without a motility disorder (defined per Chicago classification CCv3.0 criteria, given the timing of the prior studies) were compared and multivariable logistic regression was used to determine odds of motility disorder by rheumatic disease. Of 289 patients, the mean age was 60.5 ± 13.8 years. Rheumatic diseases included Raynaud’s (42%), rheumatoid arthritis (RA) (39%), Sjogren’s (21%), systemic lupus erythematous (19%), systemic sclerosis (17%), and mixed connective tissue disease (13%). On HREM, 58% had an esophageal motility disorder: achalasia (5%), EGJ outflow obstruction (20%), jackhammer (8%), diffuse esophageal spasm (1%), ineffective esophageal motility (28%), and fragmented peristalsis (2%). Of note, 50% of the sample with a normal barium swallow had an esophageal dysmotility disorder on HREM. Those with psoriatic arthritis were less likely to have esophageal dysmotility (73% vs. 27%; P = 0.04). There was decreased odds of esophageal hypocontractility in those with RA (OR [95%CI]: 0.27 [0.12–0.58]) and increased odds (OR [95%CI]: 3.13 [1.16–8.41]) of esophageal hypocontractility among those with scleroderma. Esophageal motor disorders were found in more than half of patients with rheumatologic diseases who underwent HREM. HREM should be considered in patients with rheumatic conditions presenting with esophageal symptoms.
S719 Assessing the Accuracy of Responses by the Language Model ChatGPT 4.0 to Questions Regarding Barrett’s Esophagus
Gjoka, Erisa, Shaheen, Nicholas J. , Eluri, Swathi , Huang, Yuting , Wang, Yichen , Cotton, Cary C.

American Journal of Gastroenterology | October 24, 2024 | Volume: 119 | Issue: 10S | Pages: S497-S497

10.14309/01.ajg.0001032244.37787.96 Get It