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Computed tomography perfusion (CTP) in primary lung cancer: Results from a tertiary care centre
CONTEXT: Lung cancer is the leading cause of cancer-related deaths in the world. Computed tomography perfusion (CTP) parameters can be used to evaluate the vascular flow dynamics of lung tumours. We set out to evaluate the CTP parameters in lung cancer and correlate them with histopathological subty...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200194/ https://www.ncbi.nlm.nih.gov/pubmed/35488678 http://dx.doi.org/10.4103/lungindia.lungindia_365_21 |
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author | Arimbrakkunnan, Mufeed Garg, Pawan K. Khera, Pushpinder S. Sureka, Binit Elhence, Poonam Pareek, Puneet Chauhan, Nishant Kumar Yadav, Taruna |
author_facet | Arimbrakkunnan, Mufeed Garg, Pawan K. Khera, Pushpinder S. Sureka, Binit Elhence, Poonam Pareek, Puneet Chauhan, Nishant Kumar Yadav, Taruna |
author_sort | Arimbrakkunnan, Mufeed |
collection | PubMed |
description | CONTEXT: Lung cancer is the leading cause of cancer-related deaths in the world. Computed tomography perfusion (CTP) parameters can be used to evaluate the vascular flow dynamics of lung tumours. We set out to evaluate the CTP parameters in lung cancer and correlate them with histopathological subtype and other characteristics of patients with Lung Cancer. SETTINGS AND DESIGN: This prospective study was conducted at a tertiary care referral hospital in western India. METHODS: Between January 2019 and July 2020, CTP was performed in 46 patients of lung cancer with histopathological confirmation. The CTP parameters were evaluated in detail and correlated with histopathological subtypes, staging and immunohistochemistry (IHC) markers. Analysis of variance (ANOVA) test, receiver operator characteristic (ROC) curve, Box and whiskers plot graph and Pearson correlation tests were used for statistical analysis. RESULTS: The most common subtype was adenocarcinoma (AC) in 21 patients, followed by squamous cell carcinoma (SCC) in 15 patients and others in 10 patients. Statistically significant difference in blood flow (BF) (f = 5.563, P = 0.007), blood volume (BV) (f = 3.548, P = 0.038) and permeability/flow extraction (FE) (f = 3.617, P = 0.036) were seen in different histopathological subtypes of lung cancer. BF is the main perfusion parameter for differentiation of AC from SCC. P63 positive lesions showed statistically significant lower BF, BV and FE parameters compared to P63 negative lesions (P = 0.013, 0.016 and 0.014, respectively). Different T stages showed statistically significant differences in BF (f = 3.573, P = 0.037), BV (f = 5.145, P = 0.010) and in FE (f = 4.849, P = 0.013). CONCLUSION: CTP is a non-invasive imaging method to assess the vascular flow dynamics of the tumours that may predict the histopathological subtypes in lung cancer. It can be used to target large-sized lesions during biopsy and to predict the chemotherapy response. |
format | Online Article Text |
id | pubmed-9200194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-92001942022-06-16 Computed tomography perfusion (CTP) in primary lung cancer: Results from a tertiary care centre Arimbrakkunnan, Mufeed Garg, Pawan K. Khera, Pushpinder S. Sureka, Binit Elhence, Poonam Pareek, Puneet Chauhan, Nishant Kumar Yadav, Taruna Lung India Original Article CONTEXT: Lung cancer is the leading cause of cancer-related deaths in the world. Computed tomography perfusion (CTP) parameters can be used to evaluate the vascular flow dynamics of lung tumours. We set out to evaluate the CTP parameters in lung cancer and correlate them with histopathological subtype and other characteristics of patients with Lung Cancer. SETTINGS AND DESIGN: This prospective study was conducted at a tertiary care referral hospital in western India. METHODS: Between January 2019 and July 2020, CTP was performed in 46 patients of lung cancer with histopathological confirmation. The CTP parameters were evaluated in detail and correlated with histopathological subtypes, staging and immunohistochemistry (IHC) markers. Analysis of variance (ANOVA) test, receiver operator characteristic (ROC) curve, Box and whiskers plot graph and Pearson correlation tests were used for statistical analysis. RESULTS: The most common subtype was adenocarcinoma (AC) in 21 patients, followed by squamous cell carcinoma (SCC) in 15 patients and others in 10 patients. Statistically significant difference in blood flow (BF) (f = 5.563, P = 0.007), blood volume (BV) (f = 3.548, P = 0.038) and permeability/flow extraction (FE) (f = 3.617, P = 0.036) were seen in different histopathological subtypes of lung cancer. BF is the main perfusion parameter for differentiation of AC from SCC. P63 positive lesions showed statistically significant lower BF, BV and FE parameters compared to P63 negative lesions (P = 0.013, 0.016 and 0.014, respectively). Different T stages showed statistically significant differences in BF (f = 3.573, P = 0.037), BV (f = 5.145, P = 0.010) and in FE (f = 4.849, P = 0.013). CONCLUSION: CTP is a non-invasive imaging method to assess the vascular flow dynamics of the tumours that may predict the histopathological subtypes in lung cancer. It can be used to target large-sized lesions during biopsy and to predict the chemotherapy response. Wolters Kluwer - Medknow 2022 2022-04-20 /pmc/articles/PMC9200194/ /pubmed/35488678 http://dx.doi.org/10.4103/lungindia.lungindia_365_21 Text en Copyright: © 2022 Indian Chest Society https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Arimbrakkunnan, Mufeed Garg, Pawan K. Khera, Pushpinder S. Sureka, Binit Elhence, Poonam Pareek, Puneet Chauhan, Nishant Kumar Yadav, Taruna Computed tomography perfusion (CTP) in primary lung cancer: Results from a tertiary care centre |
title | Computed tomography perfusion (CTP) in primary lung cancer: Results from a tertiary care centre |
title_full | Computed tomography perfusion (CTP) in primary lung cancer: Results from a tertiary care centre |
title_fullStr | Computed tomography perfusion (CTP) in primary lung cancer: Results from a tertiary care centre |
title_full_unstemmed | Computed tomography perfusion (CTP) in primary lung cancer: Results from a tertiary care centre |
title_short | Computed tomography perfusion (CTP) in primary lung cancer: Results from a tertiary care centre |
title_sort | computed tomography perfusion (ctp) in primary lung cancer: results from a tertiary care centre |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200194/ https://www.ncbi.nlm.nih.gov/pubmed/35488678 http://dx.doi.org/10.4103/lungindia.lungindia_365_21 |
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