Early Identification of Pneumonitis in Patients Irradiated for Lung Cancer—Final Results of the PARALUC Trial

Radiotherapy of lung cancer may cause pneumonitis that generally occurs weeks or months following therapy and can be missed. This prospective trial aimed to pave the way for a mobile application (app) allowing early diagnosis of pneumonitis. The primary goal was the identification of the optimal cut...

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Main Authors: Dirk Rades, Elisa M. Werner, Esther Glatzel, Sabine Bohnet, Steven E. Schild, Søren S. Tvilsted, Stefan Janssen
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/15/2/326
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author Dirk Rades
Elisa M. Werner
Esther Glatzel
Sabine Bohnet
Steven E. Schild
Søren S. Tvilsted
Stefan Janssen
author_facet Dirk Rades
Elisa M. Werner
Esther Glatzel
Sabine Bohnet
Steven E. Schild
Søren S. Tvilsted
Stefan Janssen
author_sort Dirk Rades
collection DOAJ
description Radiotherapy of lung cancer may cause pneumonitis that generally occurs weeks or months following therapy and can be missed. This prospective trial aimed to pave the way for a mobile application (app) allowing early diagnosis of pneumonitis. The primary goal was the identification of the optimal cut-off of a score to detect pneumonitis of grade ≥2 after radiotherapy for lung cancer. Based on the severity of symptoms (cough, dyspnea, fever), scoring points were 0–9. Receiver operating characteristic (ROC)-curves were used to describe the sensitivity and specificity. The area under the ROC-curve (AUC) was calculated to judge the accuracy of the score, Youden-index was employed to define the optimal cut-off. Until trial termination, 57 of 98 patients were included. Eight of 42 patients evaluable for the primary endpoint (presence or absence of radiation pneumonitis) experienced pneumonitis. AUC was 0.987 (0.961–1.000). The highest sensitivity was achieved with 0–4 points (100%), followed by 5 points (87.5%), highest specificity with 5–6 points (100%). The highest Youden-index was found for 5 points (87.5%). The rate of patient satisfaction with the symptom-based scoring system was 93.5%. A cut-off of 5 points was identified as optimal to differentiate between pneumonitis and no pneumonitis. Moreover, pneumonitis was significantly associated with an increase of ≥3 points from baseline (<i>p</i> < 0.0001). The scoring system provided excellent accuracy and high patient satisfaction. Important foundations for the development of a mobile application were laid.
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spelling doaj.art-b75c9934f55e474db9aba01b6d2d303d2023-11-30T21:32:17ZengMDPI AGCancers2072-66942023-01-0115232610.3390/cancers15020326Early Identification of Pneumonitis in Patients Irradiated for Lung Cancer—Final Results of the PARALUC TrialDirk Rades0Elisa M. Werner1Esther Glatzel2Sabine Bohnet3Steven E. Schild4Søren S. Tvilsted5Stefan Janssen6Department of Radiation Oncology, University of Lubeck, 23562 Lubeck, GermanyDepartment of Radiation Oncology, University of Lubeck, 23562 Lubeck, GermanyDepartment of Radiation Oncology, University of Lubeck, 23562 Lubeck, GermanyDepartment of Pulmonology, University of Lubeck, 23562 Lubeck, GermanyDepartment of Radiation Oncology, Mayo Clinic, Scottsdale, AZ 85259, USAResearch Department, Zealand University Hospital, 4600 Køge, DenmarkDepartment of Radiation Oncology, University of Lubeck, 23562 Lubeck, GermanyRadiotherapy of lung cancer may cause pneumonitis that generally occurs weeks or months following therapy and can be missed. This prospective trial aimed to pave the way for a mobile application (app) allowing early diagnosis of pneumonitis. The primary goal was the identification of the optimal cut-off of a score to detect pneumonitis of grade ≥2 after radiotherapy for lung cancer. Based on the severity of symptoms (cough, dyspnea, fever), scoring points were 0–9. Receiver operating characteristic (ROC)-curves were used to describe the sensitivity and specificity. The area under the ROC-curve (AUC) was calculated to judge the accuracy of the score, Youden-index was employed to define the optimal cut-off. Until trial termination, 57 of 98 patients were included. Eight of 42 patients evaluable for the primary endpoint (presence or absence of radiation pneumonitis) experienced pneumonitis. AUC was 0.987 (0.961–1.000). The highest sensitivity was achieved with 0–4 points (100%), followed by 5 points (87.5%), highest specificity with 5–6 points (100%). The highest Youden-index was found for 5 points (87.5%). The rate of patient satisfaction with the symptom-based scoring system was 93.5%. A cut-off of 5 points was identified as optimal to differentiate between pneumonitis and no pneumonitis. Moreover, pneumonitis was significantly associated with an increase of ≥3 points from baseline (<i>p</i> < 0.0001). The scoring system provided excellent accuracy and high patient satisfaction. Important foundations for the development of a mobile application were laid.https://www.mdpi.com/2072-6694/15/2/326lung cancerradiotherapypneumonitispatient reported outcomessymptom-based scoring systemmobile application
spellingShingle Dirk Rades
Elisa M. Werner
Esther Glatzel
Sabine Bohnet
Steven E. Schild
Søren S. Tvilsted
Stefan Janssen
Early Identification of Pneumonitis in Patients Irradiated for Lung Cancer—Final Results of the PARALUC Trial
Cancers
lung cancer
radiotherapy
pneumonitis
patient reported outcomes
symptom-based scoring system
mobile application
title Early Identification of Pneumonitis in Patients Irradiated for Lung Cancer—Final Results of the PARALUC Trial
title_full Early Identification of Pneumonitis in Patients Irradiated for Lung Cancer—Final Results of the PARALUC Trial
title_fullStr Early Identification of Pneumonitis in Patients Irradiated for Lung Cancer—Final Results of the PARALUC Trial
title_full_unstemmed Early Identification of Pneumonitis in Patients Irradiated for Lung Cancer—Final Results of the PARALUC Trial
title_short Early Identification of Pneumonitis in Patients Irradiated for Lung Cancer—Final Results of the PARALUC Trial
title_sort early identification of pneumonitis in patients irradiated for lung cancer final results of the paraluc trial
topic lung cancer
radiotherapy
pneumonitis
patient reported outcomes
symptom-based scoring system
mobile application
url https://www.mdpi.com/2072-6694/15/2/326
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