CT perfusion in non-small cell lung cancers for assessing treatment response, monitoring treatment and predicting prognosis
Introduction: To determine whether Computed Tomography Perfusion (CTP) can predict treatment response and prognosis in non-small cell lung cancers (NSCLC). To determine which one of the perfusion parameter correlated best with treatment outcome. Methods: Sixteen patients with NSCLC underwent CTP bef...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-06-01
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| Series: | The Egyptian Journal of Radiology and Nuclear Medicine |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378603X17302218 |
| _version_ | 1811285373293166592 |
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| author | Bargavee Venkat Sanjiv Sharma Dinesh Sharma Shikha Sood Neeti Aggarwal Malay Sarkar Rajeev Kumar Seam Neeraj Mittal Lokesh Rana |
| author_facet | Bargavee Venkat Sanjiv Sharma Dinesh Sharma Shikha Sood Neeti Aggarwal Malay Sarkar Rajeev Kumar Seam Neeraj Mittal Lokesh Rana |
| author_sort | Bargavee Venkat |
| collection | DOAJ |
| description | Introduction: To determine whether Computed Tomography Perfusion (CTP) can predict treatment response and prognosis in non-small cell lung cancers (NSCLC). To determine which one of the perfusion parameter correlated best with treatment outcome.
Methods: Sixteen patients with NSCLC underwent CTP before and after completion of chemo-radiotherapy. Patients with complete and partial response were grouped as responders and patients with stable and progressive disease were grouped as non-responders. Pre and post-treatment whole tumour perfusion parameters (blood flow - BF, blood volume - BV, mean transit time - MTT and permeability surface area product - PS) were compared between responders and non-responders.
Results: Responders had higher baseline BF and PS values than non-responders; P = 0.047, 0.028 respectively. On 1 year follow up, patients with even 2.65% increase in PS value from baseline developed metastasis while patients with decrease in PS value by 24% did not develop metastasis (P = 0.05). Greater decrease in BF values (17%) were noted among responders than non-responders (2.4%) following chemoradiation, though the results were not statistically significant (P > 0.05).
Conclusions: Tumours with higher baseline BF and PS respond well to chemo-radiation. Changes in the PS values can predict the development of metastasis and hence, the long term outcome. |
| first_indexed | 2024-04-13T02:43:12Z |
| format | Article |
| id | doaj.art-957584fb48a4486e9be5bd906f4a8e3c |
| institution | Directory Open Access Journal |
| issn | 0378-603X |
| language | English |
| last_indexed | 2024-04-13T02:43:12Z |
| publishDate | 2018-06-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | The Egyptian Journal of Radiology and Nuclear Medicine |
| spelling | doaj.art-957584fb48a4486e9be5bd906f4a8e3c2022-12-22T03:06:07ZengSpringerOpenThe Egyptian Journal of Radiology and Nuclear Medicine0378-603X2018-06-0149233834510.1016/j.ejrnm.2017.12.007CT perfusion in non-small cell lung cancers for assessing treatment response, monitoring treatment and predicting prognosisBargavee Venkat0Sanjiv Sharma1Dinesh Sharma2Shikha Sood3Neeti Aggarwal4Malay Sarkar5Rajeev Kumar Seam6Neeraj Mittal7Lokesh Rana8Department of Radiology and Imaging, Koshys Hospital, Bengaluru, IndiaDepartment of Radiology, Indira Gandhi Medical College, Shimla, IndiaDepartment of Radiology, Indira Gandhi Medical College, Shimla, IndiaDepartment of Radiology, Indira Gandhi Medical College, Shimla, IndiaDepartment of Radiology, Indira Gandhi Medical College, Shimla, IndiaDepartment of Pulmonary medicine, Indira Gandhi Medical College, Shimla, IndiaRegional Cancer Centre, Indira Gandhi Medical College, Shimla, IndiaDepartment of Radiology, Indira Gandhi Medical College, Shimla, IndiaDepartment of Radiology, Indira Gandhi Medical College, Shimla, IndiaIntroduction: To determine whether Computed Tomography Perfusion (CTP) can predict treatment response and prognosis in non-small cell lung cancers (NSCLC). To determine which one of the perfusion parameter correlated best with treatment outcome. Methods: Sixteen patients with NSCLC underwent CTP before and after completion of chemo-radiotherapy. Patients with complete and partial response were grouped as responders and patients with stable and progressive disease were grouped as non-responders. Pre and post-treatment whole tumour perfusion parameters (blood flow - BF, blood volume - BV, mean transit time - MTT and permeability surface area product - PS) were compared between responders and non-responders. Results: Responders had higher baseline BF and PS values than non-responders; P = 0.047, 0.028 respectively. On 1 year follow up, patients with even 2.65% increase in PS value from baseline developed metastasis while patients with decrease in PS value by 24% did not develop metastasis (P = 0.05). Greater decrease in BF values (17%) were noted among responders than non-responders (2.4%) following chemoradiation, though the results were not statistically significant (P > 0.05). Conclusions: Tumours with higher baseline BF and PS respond well to chemo-radiation. Changes in the PS values can predict the development of metastasis and hence, the long term outcome.http://www.sciencedirect.com/science/article/pii/S0378603X17302218Oncologic imagingChest imagingCT perfusionResponse assessmentFunctional imaging |
| spellingShingle | Bargavee Venkat Sanjiv Sharma Dinesh Sharma Shikha Sood Neeti Aggarwal Malay Sarkar Rajeev Kumar Seam Neeraj Mittal Lokesh Rana CT perfusion in non-small cell lung cancers for assessing treatment response, monitoring treatment and predicting prognosis The Egyptian Journal of Radiology and Nuclear Medicine Oncologic imaging Chest imaging CT perfusion Response assessment Functional imaging |
| title | CT perfusion in non-small cell lung cancers for assessing treatment response, monitoring treatment and predicting prognosis |
| title_full | CT perfusion in non-small cell lung cancers for assessing treatment response, monitoring treatment and predicting prognosis |
| title_fullStr | CT perfusion in non-small cell lung cancers for assessing treatment response, monitoring treatment and predicting prognosis |
| title_full_unstemmed | CT perfusion in non-small cell lung cancers for assessing treatment response, monitoring treatment and predicting prognosis |
| title_short | CT perfusion in non-small cell lung cancers for assessing treatment response, monitoring treatment and predicting prognosis |
| title_sort | ct perfusion in non small cell lung cancers for assessing treatment response monitoring treatment and predicting prognosis |
| topic | Oncologic imaging Chest imaging CT perfusion Response assessment Functional imaging |
| url | http://www.sciencedirect.com/science/article/pii/S0378603X17302218 |
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