Lung cancer is the leading cause of cancer death in the United States, surpassing other significant types. Erroneously, it is considered to affect only smokers, and this is not the case; The figures show it. Despite the number of people affected, mammograms are more common, reflecting a discrepancy in early detection due to myths about the causes and associated risks.
Technological innovations have allowed progress in the early detection of lung cancer. However, the low testing rate among those eligible is due to outdated eligibility criteria and lack of awareness.
Particularly, African American patients face challenges, as many do not qualify for screenings due to restrictive criteria. Initiatives such as the “INSPIRE” study seek to address this gap and encourage detection.
Late diagnosis
Patient stories reveal how late detection can result in advanced diagnoses. Many do not present symptoms until the disease has progressed, highlighting the importance of greater awareness and better testing protocols, he noted. cnn through testimonies.
Oncology experts point out the influence of factors such as pollution and genetics, in addition to smoking, on the risk of lung cancer. They advocate for more inclusive screening criteria to identify the truly vulnerable.
Artificial intelligence as an ally in detection
The development of artificial intelligence instruments, such as Sybil, promises to revolutionize the early detection of cancer through the analysis of CT scans. This approach seeks to identify at-risk patients, even those who do not meet traditional screening criteria.
Future clinical studies are expected to use AI to more effectively track at-risk patients. Personalization of screening programs could lead to more efficient identification of cancer in its critical stages.
A cultural change in the perception of lung cancer is required to encourage early detection and save lives. Continued education and adjustment of screening criteria are essential to reduce mortality from this devastating disease.
Early symptoms of lung cancer
The first symptoms of lung cancer are often mild or nonspecific, so many people ignore them until the disease progresses. Although there may be no symptoms in the initial stages, there are several signs that should be known, especially if there is a history of smoking or exposure to risk factors.
Early respiratory symptoms
- Persistent or new cough: A cough that lasts more than two or three weeks, that does not improve like a common cold, or that changes in tone or frequency (for example, in smokers).
- Coughing up blood or unusual sputum: Spots of blood in the phlegm or rust-colored sputum are a warning sign that should refer you to urgent consultation.
- Difficulty breathing or shortness of breath: Feeling out of breath even with light exertion, such as climbing stairs or walking.
Other general symptoms
- Unusual fatigue and tiredness: feeling of exhaustion that does not improve with rest and worsens over time.
- Loss of appetite and weight without clear cause: Unintentional weight loss, along with decreased hunger, may be a sign of advanced or incipient disease.
- Pain or discomfort in the chest, back or shoulder: mild but recurring pain that is not related to overexertion and is usually worse when breathing deeply, coughing or laughing.
More subtle but relevant signs
- Hoarseness or voice changes that last more than a few weeks.
- Wheezing or whistling when breathing (wheezing) without a previous diagnosis of asthma.
- Recurrent respiratory infectionssuch as bronchitis or pneumonia on the same side of the chest.
If a person presents any of these symptoms, especially if they are a smoker, ex-smoker or have other risk factors (exposure to tobacco smoke, asbestos, pollutants, etc.), it is best to go to a doctor soon for evaluation, imaging tests (such as a chest x-ray or CT scan) and, if indicated, lung cancer screening.
You may also be interested in:
· DNA tests sent by mail, a new method in the detection of colorectal cancer
· Researchers can achieve early detection of Alzheimer’s through voice
· AI can predict biological aging through the retina






