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, according to investigators.
The classification tree offers a practical alternative for evaluating esophagogastric junction (EGJ) outflow disorders when more advanced methods like high-resolution manometry (HRM) or functional lumen imaging probe (FLIP) panometry are unavailable, lead author Ofer Z. Fass, MD, of Northwestern University, Chicago, and colleagues reported.
“[T]here are limited data on normative TBE values,” the investigators wrote in Gastroenterology. “Furthermore, data supporting the accuracy of TBE as a screening test for esophageal motility disorders, as well as clinically relevant test thresholds, remains limited.”
TBE is conventionally interpreted using a handful of single measurements, most often the barium column height at 1, 2, or 5 minutes. Although these metrics are simple to obtain, variability in technique, cutoff values, and interpretation across centers limits reproducibility and weakens diagnostic accuracy, according to the investigators. The role of TBE has therefore been largely confined to adjudicating inconclusive manometry findings, but even in that setting, the absence of validated reference standards constrains its utility as a reliable screening tool.
To address this gap, Fass and colleagues conducted a prospective analysis of 290 patients who underwent TBE at Northwestern Memorial Hospital, Chicago, with HRM and FLIP panometry, interpreted according to the Chicago Classification version 4.0 (CCv4.0), serving as the diagnostic reference standards.
Patients were included if they had both TBE and manometry performed within a short interval, ensuring that the two tests could be meaningfully compared. The study population represented a broad spectrum of esophageal motility presentations, allowing the model to be trained on clinically relevant variation.
Beyond column height, the investigators measured barium height at multiple timepoints, maximal esophageal body width, maximum EGJ diameter, and tablet passage. These variables were incorporated into a recursive partitioning algorithm to build a multimetric classification tree aimed at distinguishing EGJ outflow obstruction from other motility disorders.
The optimal tree incorporated three sequential decision levels. At the top was maximum esophageal body width, followed by EGJ diameter and barium height at the second level, and tablet passage at the third. This stepwise structure allowed the model to refine diagnoses by combining simple, reproducible TBE metrics that are already collected in routine practice.
Among the 290 patients, 121 (42%) had EGJ outflow disorders, 151 (52%) had no outflow disorder, and 18 (6%) had inconclusive manometry findings. Using conventional interpretation with column height and tablet passage, TBE demonstrated a sensitivity of 77.8%, a specificity of 86.0%, and an accuracy of 82.2%. The multimetric classification tree improved diagnostic performance across all parameters, with a sensitivity of 84.2%, a specificity of 92.1%, and an accuracy of 88.3%.
The advantages of multimetric interpretation were most notable in patients with borderline column heights, which single-metric approaches often misclassify, underscoring the value of integrating multiple measurements into a unified model.
“[T]his study demonstrated that TBE can accurately identify achalasia when analyzed using multiple metrics in a classification tree model,” Fass and colleagues wrote. “Future studies should explore the use of TBE metrics and models to identify more specific esophageal motor disorders (such as esophageal spasm and absent contractility), as well as validation in a larger, multicenter cohort.”
Clinical Takeaways
Rishi Naik, MD, of the Center for Swallowing and Esophageal Disorders, Vanderbilt University Medical Center, Nashville, Tennessee, said the study represents a step forward in how clinicians can use a widely accessible esophageal imaging test.
“This study is important in that it has updated the way we use a very common, readily available imaging test and compared it to the current gold standard of HRM and FLIP,” he told GI & Hepatology News. “This provides a practical, standardized framework for clinicians evaluating patients with suspected esophageal motility disorders.”
Naik noted that while HRM and FLIP provide highly detailed information, both carry drawbacks that limit their universal adoption.
“Practically, HRM is a transnasal test that can be cumbersome, and FLIP is performed during a sedated procedure,” he said. “From a comfort and cost perspective, the esophagram outcompetes. What the TBE lacked was adequate sensitivity and specificity when just looking at column height, which is how the authors overcame this by leveraging the comparisons using CCv4.0.”
Implementation, however, requires discipline.
“A timed barium esophagram is a protocol, not a single esophagram,” Naik said. “Without proper measurements, you can’t follow the decision tree.”
Still, he pointed to radiology’s increasing adoption of artificial intelligence (AI) as a promising way forward.
“AI has already transformed radiological reads, and I’m optimistic it will eventually allow us to incorporate not only width, height, and tablet clearance but also 3D [three-dimensional] reconstructions of bolus retention and pressure to enhance predictive modeling,” Naik said.
This study was supported by the Public Health Service.
The investigators disclosed having relationships with Takeda, Phathom Pharmaceuticals, Medtronic, and others. Naik is a consultant for Sanofi/Regeneron, Eli Lilly and Company, and Renexxion.
A version of this article appeared on Medscape.com.
, according to investigators.
The classification tree offers a practical alternative for evaluating esophagogastric junction (EGJ) outflow disorders when more advanced methods like high-resolution manometry (HRM) or functional lumen imaging probe (FLIP) panometry are unavailable, lead author Ofer Z. Fass, MD, of Northwestern University, Chicago, and colleagues reported.
“[T]here are limited data on normative TBE values,” the investigators wrote in Gastroenterology. “Furthermore, data supporting the accuracy of TBE as a screening test for esophageal motility disorders, as well as clinically relevant test thresholds, remains limited.”
TBE is conventionally interpreted using a handful of single measurements, most often the barium column height at 1, 2, or 5 minutes. Although these metrics are simple to obtain, variability in technique, cutoff values, and interpretation across centers limits reproducibility and weakens diagnostic accuracy, according to the investigators. The role of TBE has therefore been largely confined to adjudicating inconclusive manometry findings, but even in that setting, the absence of validated reference standards constrains its utility as a reliable screening tool.
To address this gap, Fass and colleagues conducted a prospective analysis of 290 patients who underwent TBE at Northwestern Memorial Hospital, Chicago, with HRM and FLIP panometry, interpreted according to the Chicago Classification version 4.0 (CCv4.0), serving as the diagnostic reference standards.
Patients were included if they had both TBE and manometry performed within a short interval, ensuring that the two tests could be meaningfully compared. The study population represented a broad spectrum of esophageal motility presentations, allowing the model to be trained on clinically relevant variation.
Beyond column height, the investigators measured barium height at multiple timepoints, maximal esophageal body width, maximum EGJ diameter, and tablet passage. These variables were incorporated into a recursive partitioning algorithm to build a multimetric classification tree aimed at distinguishing EGJ outflow obstruction from other motility disorders.
The optimal tree incorporated three sequential decision levels. At the top was maximum esophageal body width, followed by EGJ diameter and barium height at the second level, and tablet passage at the third. This stepwise structure allowed the model to refine diagnoses by combining simple, reproducible TBE metrics that are already collected in routine practice.
Among the 290 patients, 121 (42%) had EGJ outflow disorders, 151 (52%) had no outflow disorder, and 18 (6%) had inconclusive manometry findings. Using conventional interpretation with column height and tablet passage, TBE demonstrated a sensitivity of 77.8%, a specificity of 86.0%, and an accuracy of 82.2%. The multimetric classification tree improved diagnostic performance across all parameters, with a sensitivity of 84.2%, a specificity of 92.1%, and an accuracy of 88.3%.
The advantages of multimetric interpretation were most notable in patients with borderline column heights, which single-metric approaches often misclassify, underscoring the value of integrating multiple measurements into a unified model.
“[T]his study demonstrated that TBE can accurately identify achalasia when analyzed using multiple metrics in a classification tree model,” Fass and colleagues wrote. “Future studies should explore the use of TBE metrics and models to identify more specific esophageal motor disorders (such as esophageal spasm and absent contractility), as well as validation in a larger, multicenter cohort.”
Clinical Takeaways
Rishi Naik, MD, of the Center for Swallowing and Esophageal Disorders, Vanderbilt University Medical Center, Nashville, Tennessee, said the study represents a step forward in how clinicians can use a widely accessible esophageal imaging test.
“This study is important in that it has updated the way we use a very common, readily available imaging test and compared it to the current gold standard of HRM and FLIP,” he told GI & Hepatology News. “This provides a practical, standardized framework for clinicians evaluating patients with suspected esophageal motility disorders.”
Naik noted that while HRM and FLIP provide highly detailed information, both carry drawbacks that limit their universal adoption.
“Practically, HRM is a transnasal test that can be cumbersome, and FLIP is performed during a sedated procedure,” he said. “From a comfort and cost perspective, the esophagram outcompetes. What the TBE lacked was adequate sensitivity and specificity when just looking at column height, which is how the authors overcame this by leveraging the comparisons using CCv4.0.”
Implementation, however, requires discipline.
“A timed barium esophagram is a protocol, not a single esophagram,” Naik said. “Without proper measurements, you can’t follow the decision tree.”
Still, he pointed to radiology’s increasing adoption of artificial intelligence (AI) as a promising way forward.
“AI has already transformed radiological reads, and I’m optimistic it will eventually allow us to incorporate not only width, height, and tablet clearance but also 3D [three-dimensional] reconstructions of bolus retention and pressure to enhance predictive modeling,” Naik said.
This study was supported by the Public Health Service.
The investigators disclosed having relationships with Takeda, Phathom Pharmaceuticals, Medtronic, and others. Naik is a consultant for Sanofi/Regeneron, Eli Lilly and Company, and Renexxion.
A version of this article appeared on Medscape.com.
, according to investigators.
The classification tree offers a practical alternative for evaluating esophagogastric junction (EGJ) outflow disorders when more advanced methods like high-resolution manometry (HRM) or functional lumen imaging probe (FLIP) panometry are unavailable, lead author Ofer Z. Fass, MD, of Northwestern University, Chicago, and colleagues reported.
“[T]here are limited data on normative TBE values,” the investigators wrote in Gastroenterology. “Furthermore, data supporting the accuracy of TBE as a screening test for esophageal motility disorders, as well as clinically relevant test thresholds, remains limited.”
TBE is conventionally interpreted using a handful of single measurements, most often the barium column height at 1, 2, or 5 minutes. Although these metrics are simple to obtain, variability in technique, cutoff values, and interpretation across centers limits reproducibility and weakens diagnostic accuracy, according to the investigators. The role of TBE has therefore been largely confined to adjudicating inconclusive manometry findings, but even in that setting, the absence of validated reference standards constrains its utility as a reliable screening tool.
To address this gap, Fass and colleagues conducted a prospective analysis of 290 patients who underwent TBE at Northwestern Memorial Hospital, Chicago, with HRM and FLIP panometry, interpreted according to the Chicago Classification version 4.0 (CCv4.0), serving as the diagnostic reference standards.
Patients were included if they had both TBE and manometry performed within a short interval, ensuring that the two tests could be meaningfully compared. The study population represented a broad spectrum of esophageal motility presentations, allowing the model to be trained on clinically relevant variation.
Beyond column height, the investigators measured barium height at multiple timepoints, maximal esophageal body width, maximum EGJ diameter, and tablet passage. These variables were incorporated into a recursive partitioning algorithm to build a multimetric classification tree aimed at distinguishing EGJ outflow obstruction from other motility disorders.
The optimal tree incorporated three sequential decision levels. At the top was maximum esophageal body width, followed by EGJ diameter and barium height at the second level, and tablet passage at the third. This stepwise structure allowed the model to refine diagnoses by combining simple, reproducible TBE metrics that are already collected in routine practice.
Among the 290 patients, 121 (42%) had EGJ outflow disorders, 151 (52%) had no outflow disorder, and 18 (6%) had inconclusive manometry findings. Using conventional interpretation with column height and tablet passage, TBE demonstrated a sensitivity of 77.8%, a specificity of 86.0%, and an accuracy of 82.2%. The multimetric classification tree improved diagnostic performance across all parameters, with a sensitivity of 84.2%, a specificity of 92.1%, and an accuracy of 88.3%.
The advantages of multimetric interpretation were most notable in patients with borderline column heights, which single-metric approaches often misclassify, underscoring the value of integrating multiple measurements into a unified model.
“[T]his study demonstrated that TBE can accurately identify achalasia when analyzed using multiple metrics in a classification tree model,” Fass and colleagues wrote. “Future studies should explore the use of TBE metrics and models to identify more specific esophageal motor disorders (such as esophageal spasm and absent contractility), as well as validation in a larger, multicenter cohort.”
Clinical Takeaways
Rishi Naik, MD, of the Center for Swallowing and Esophageal Disorders, Vanderbilt University Medical Center, Nashville, Tennessee, said the study represents a step forward in how clinicians can use a widely accessible esophageal imaging test.
“This study is important in that it has updated the way we use a very common, readily available imaging test and compared it to the current gold standard of HRM and FLIP,” he told GI & Hepatology News. “This provides a practical, standardized framework for clinicians evaluating patients with suspected esophageal motility disorders.”
Naik noted that while HRM and FLIP provide highly detailed information, both carry drawbacks that limit their universal adoption.
“Practically, HRM is a transnasal test that can be cumbersome, and FLIP is performed during a sedated procedure,” he said. “From a comfort and cost perspective, the esophagram outcompetes. What the TBE lacked was adequate sensitivity and specificity when just looking at column height, which is how the authors overcame this by leveraging the comparisons using CCv4.0.”
Implementation, however, requires discipline.
“A timed barium esophagram is a protocol, not a single esophagram,” Naik said. “Without proper measurements, you can’t follow the decision tree.”
Still, he pointed to radiology’s increasing adoption of artificial intelligence (AI) as a promising way forward.
“AI has already transformed radiological reads, and I’m optimistic it will eventually allow us to incorporate not only width, height, and tablet clearance but also 3D [three-dimensional] reconstructions of bolus retention and pressure to enhance predictive modeling,” Naik said.
This study was supported by the Public Health Service.
The investigators disclosed having relationships with Takeda, Phathom Pharmaceuticals, Medtronic, and others. Naik is a consultant for Sanofi/Regeneron, Eli Lilly and Company, and Renexxion.
A version of this article appeared on Medscape.com.
FROM GASTROENTEROLOGY