Neoplasms

Respiratory Tract (Lung and Bronchial) Diseases

All Conditions

Symptoms and General Pathology

Lung Neoplasms

Pulmonary Emphysema

Emphysema

Pneumothorax

Subcutaneous Emphysema

Respiratory Tract Diseases

Pleural Diseases

All patients, mixed gender, race, and age, who underwent thoracic resection by one surgeon over the past seven years and discharged home with air leak present and chest tube to portable drainage device.

Jeremy S Smith, BSN

Discharging patients home with air leak and chest tube to portable drainage device after thoracic resection is cost effective and safe without compromising patients outcome or satisfaction. Despite good outcomes this practice is not done universally by thoracic surgeons.

Medical chart database to identify patients ,of one thoracic surgeon over the last seven years, who underwent thoracic resection and were discharged home with an air leak and chest tube to portable drainage device was completed. Once all patients were identified, all possible vulnerable patients were discarded. Written consent for participation was obtained by eligible patients and subjects willing to participate were given further explanation of the study. All willing participants completed an Outpatient Chest Tube Quality of Life Questionnaire. Upon completion of the questionnaire participants involvement in the study was complete. Data was collected and correlations between variables statistically analysed to determine significant factors affecting care.

Outpatient Chest Tube Management Following Thoracic Resection Improves Patient Length of Stay and Satisfaction Without Compromising Outcomes

Outcome measures for this study were to correlate outpatient chest tube management with patient satisfaction. Also to correlate decreased length of stay without compromising any patient outcomes.

Alliance of Cardiothoracic and Vascular Surgeons

Registered Nurse

Outpatient Chest Tubes

All patients \> 18 years or older, mixed gender, race, and age who underwent thoracic resection by one surgeon and were discharged home with air leak present and chest tube to portable drainage device

Age, Categorical

Sex: Female, Male

United States

Region of Enrollment

patients older than 18 years old who underwent lung resection and were sent home with chest tubes

Jeremy Smith RN

Study was terminated and no data were collected for the outcome

Overall Study

Heart and Blood Diseases

Pleural Effusion

Pulmonary Atelectasis

Multiple Pulmonary Nodules

Cardiomegaly

Solitary Pulmonary Nodule

Lung Diseases

Respiratory Tract Neoplasms

Thoracic Neoplasms

Heart Diseases

Hypertrophy

Pathological Conditions, Anatomical

Pharmaceutical Solutions

All Drugs and Chemicals

A total of 1,073 chest X-rays were acquired within the specified period at the department. The data collection remained intact and unaffected throughout the testing phase, ensuring the integrity of the dataset. The collected sample accurately represents the prevalence of findings within the observed population. After excluding ineligible studies such as X-rays from patients under 18 years of age, lateral projection X-rays, and scans of insufficient quality, a total of 956 relevant CXRs were identified for further assessment.

The proposed DLAD (Carebot AI CXR) is a deep learning-based medical device designed to assist radiologists in interpreting chest X-ray images acquired in anteroposterior (AP) or posteroanterior (PA) projection. By employing advanced deep learning algorithms, this solution enables automatic detection of abnormal findings by analyzing visual patterns associated with specific conditions. The targeted abnormalities include atelectasis (ATE), consolidation (CON), pleural effusion (EFF), pulmonary lesion (LES), subcutaneous emphysema (SCE), cardiomegaly (CMG), and pneumothorax (PNO). The DLAD functions as a prediction algorithm complemented by various application peripherals, such as web-based communication tools, DICOM file conversion capabilities, and storage and reporting libraries supporting both DICOM Structured Report and DICOM Presentation State formats.

Carebot AI CXR

The primary objective is to evaluate the performance parameters of the proposed DLAD (Carebot AI CXR) in comparison to individual radiologists.

In the period between October 18th, 2022, and November 17th, 2022, anonymized chest X-ray images of patients were collected at the Radiodiagnostic Department of the Havířov Hospital, p.o. The collection process involved utilizing the CloudPACS imaging and archiving system provided by OR-CZ spol. s r.o.

The collected X-ray images were subjected to the proposed DLAD (Carebot AI CXR) for analysis. Subsequently, the DLAD's performance was compared with the standard clinical practice, where radiologists assessed the CXR images in the simulated hospital setting with access to standard viewing tools (e.g., pan, zoom, WW/WL) and were given an unlimited amount of time to complete the review. Each radiologist determined the presence or absence of 7 indicated radiological findings, including atelectasis (ATE), consolidation (CON), pleural effusion (EFF), pulmonary lesion (LES), subcutaneous emphysema (SCE), cardiomegaly (CMG), and pneumothorax (PNO).

Multi-Reader Retrospective Study Examining Carebot AI CXR 2.0.21-v2.01 Implementation in Everyday Radiology Clinical Practice

The primary objective is to evaluate the performance parameters of the proposed DLAD (Carebot AI CXR) in comparison to individual radiologists. The performance test includes sensitivity and specificity, positive and negative likelihood ratio, and positive and negative predictive value. The aforementioned parameters are statistically compared using confidence intervals (CI) and p-Values. The comparison procedure consists of two steps: a global hypothesis test is conducted to determine whether there are significant differences between DLAD and radiologists. If the global hypothesis test yields a significant result, individual hypothesis tests are performed. Additionally, multiple comparison methods, such as McNemar with continuity correction for Se and Sp, Holm method for LRs, and weighted generalized score statistics for PVs, are applied to control the overall error rate. All tests are performed as two-tailed tests at the 5% significance level.

Study title	NCT ID	Conditions	Interventions	Eligibility	Organization	Link
Outpatient Chest Tube Management Following Thoracic Resection Improves Patient Length of Stay and Satisfaction Without Compromising Outcomes	NCT01551082	Lung Cancer Pneumothorax Subcutaneous Em...		18 Years - 89 Years	Alliance of Cardiothoracic and Vascular Surgeons
Multi-Reader Retrospective Study Examining Carebot AI CXR 2.0.21-v2.01 Implementation in Everyday Radiology Clinical Practice	NCT05963945	Pneumothorax Pulmonary Nodul... Atelectasis Subcutaneous Em... Cardiomegaly Consolidation Pleural Effusio...	Carebot AI CXR	18 Years -	Carebot s.r.o.

Spots Global Cancer Trial Database for subcutaneous emphysema