Your browser doesn't support javascript.
loading
The Role of CT Perfusion in Differentiating Benign Versus Malignant Focal Pulmonary Lesions.
Kundu, Kriti; Kumar, Aman; Malik, Rajesh; Sarawagi, Radha; Khurana, Alkesh; Sharma, Jitendra; Bhagat, Abhinav C; Patel, Ankur.
Affiliation
  • Kundu K; Radiology, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.
  • Kumar A; Radiology, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.
  • Malik R; Radiology, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.
  • Sarawagi R; Radiology, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.
  • Khurana A; Pulmonary and Critical Care Medicine, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.
  • Sharma J; Radiology, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.
  • Bhagat AC; Radiology, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.
  • Patel A; Radiology, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.
Cureus ; 16(7): e63618, 2024 Jul.
Article in En | MEDLINE | ID: mdl-39092336
ABSTRACT

BACKGROUND:

Contrast-enhanced CT scan is the standard imaging for the characterization and evaluation of focal parenchymal lung lesions. It relies on morphology and enhancement patterns for the characterization of lung lesions. However, there is significant overlap among imaging features of various malignant and benign lesions. Hence, it is often necessary to obtain tissue diagnosis with invasive percutaneous or endoscopic-guided tissue sampling. It is often desirable to have non-invasive techniques that can differentiate malignant and benign lung lesions. CT perfusion is an emerging CT technology that allows functional assessment of tissue vascularity through various parameters and can help in differentiating benign and malignant focal lung lesions.

OBJECTIVE:

The purpose of this study was to assess the role of the CT perfusion technique in differentiating malignant and benign focal parenchymal lung lesions. MATERIALS AND

METHODS:

In this prospective observational study, CT perfusion was performed on 41 patients with focal parenchymal lung lesions from December 2020 to June 2022. The four-dimensional range was planned to cover the entire craniocaudal extent of the lesion, followed by a volume perfusion CT (VPCT) of the lesion. A total of 27 dynamic datasets were acquired with a scan interval of 1.5 seconds and a total scan time of 42 seconds. CT perfusion parameters of blood flow (BF), blood volume (BV), and k-trans of the lesion were measured with mathematical algorithms available in the Syngo.via CT perfusion software (Siemens Healthcare, Erlangen, Germany).

RESULTS:

The median BV in benign lesions was found to be 5.5 mL/100 g, with an interquartile range of 3.3-6.9 and a p-value < 0.001. The median BV in malignant lesions was found to be 11.35 mL/100 g, with an interquartile range of 9.57-13.21 and a p-value ≤ 0.001. The median BF for benign lesions was 45.5 mL/100 g/min, with an interquartile range of 33.8-48.5 and a p-value ≤ 0.001. The median BF for malignant lesion was 61.77 mL/100 g/min, with an interquartile range of 33.8-48.5 and a p-value ≤ 0.001. The median k-trans in the case of benign lesions was found to be 4.2 mL/100 g/min, with an interquartile range of 3.13-6.8 and a p-value ≤ 0.001. The median k-trans in the case of the malignant lesion was found to be 12.05 mL/100g/min, with an interquartile range of 7.20-33.42 and a p-value < 0.001. Our study has also shown BV to have an accuracy of 92.68%, sensitivity of 93.3%, and specificity of 90.01%.

CONCLUSION:

Our study has shown that CT perfusion values of BV, BF, and k-trans can be used to differentiate between benign and malignant focal lung parenchymal lesions. K-trans is the most sensitive parameter while BV and BF have greater accuracy and specificity.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Cureus Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Cureus Year: 2024 Document type: Article