Kidney Cancer: the symptoms, risk factors and diagnosis (the 6 main imaging techniques)

In this article I’d like to talk about kidney cancer. As an urologist, I’m aware of the damages that this type of tumor can do to the urinary system and to the body in general, but I also know the importance of an early diagnosis as well as the symptoms to keep an eye on.

In this article, I’ll dive deep into anything concerning kidney cancer, but first, I’ll provide a definition of the disease.

What is kidney cancer?

Kidney cancer is a tumor that originates from kidney cells. It can be either benign or, more commonly, malignant.

The most common form of kidney tumor is renal cell carcinoma (RCC), which accounts for approximately 90% of malignant kidney tumors in adults. This tumor usually develops in the renal tubules and it may remain asymptomatic in the early stages.

However, as the tumor mass grows, symptoms such as blood in the urine (hematuria), persistent lower back pain and a palpable mass in the flank may appear. The main risk factors include smoking, obesity, high blood pressure and a genetic predisposition. Diagnosis is made through imaging tests such as ultrasound, CT or MRI, while treatment depends on the stage of the disease and may include surgery, targeted therapies and immunotherapy.

However, we’ll take a deeper look at both the symptoms and the risk factors in the following paragraphs, starting from the former.

The symptoms of kidney cancer

In this paragraphs we’ll take a look at the symptoms of kidney cancer. As I already said, kidney cancer, especially in its early stages, often develops without any noticeable symptoms, making early detection challenging.

However, as the tumor grows, several signs and symptoms may appear. One of the most common symptoms is hematuria, or the presence of blood in the urine, which can range from microscopic (only detectable through laboratory tests) to visible discoloration. Patients may also experience persistent lower back or flank pain, typically on one side, which is not related to injury. Another significant symptom is the presence of a palpable mass or lump in the abdominal or flank region, which may indicate an advanced tumor.

Additionally, individuals with kidney cancer often report unexplained weight loss, fatigue, and loss of appetite, which are common signs of cancer-related systemic effects. Other symptoms may include intermittent fever, high blood pressure (hypertension), and in some cases, anemia, leading to weakness and shortness of breath.

The risk factors

Now let’s take a look at the risk factors that can lead to kidney cancer. The first thing to report is that kidney cancer can be caused by genetic predisposition, thus it may even caused by factors that are indeed genetic and not “external” from the person. An individual with a family history of kidney cancer has higher chances of contracting the disease.

Some other factors that can lead to kidney cancer development are high blood pressure and obesity, but when it comes to external risk factors, let’s look at the elephant in the room: smoking.

Smoking as a risk factor

Nowadays 25-30% of kidney cancer is attributed to smoking. Indeed, smokers have a 1.3 times higher risk of developing kidney cancer. The chances are way lower for non-smokers. It’s been reported that people who quit smoking for at least 10 years consistently lowered their chances of contracting kidney cancer.

The diagnosis of kidney cancer

The diagnosis of kidney cancer typically begins with a thorough medical history and physical examination, followed by a series of imaging tests and laboratory analyses. If a patient presents some of the symptoms I described before such as hematuria, persistent flank pain, or unexplained weight loss, doctors often order imaging studies to evaluate the kidneys.

An early and accurate diagnosis is crucial for determining the most effecting treatment strategy and improving the patient’s outcome.

The most commonly used imaging techniques and tools include:

ultrasound, which helps detect abnormal masses;
computed tomography (CT) scans, which provide detailed cross-sectional images of the kidneys;
magnetic resonance imaging (MRI), which is especially useful for assessing soft tissue involvement;
contrast-enhanced CT or MRI may be performed if a suspicious mass is identified. It is used to determine the tumor’s characteristics and stage.
blood tests may be conducted to assess kidney function, check for anemia, or detect abnormal levels of certain substances that could indicate cancer.
biopsy: a procedure in which a small tissue sample is extracted from the tumor for microscopic examination. It may be performed to confirm malignancy, although this is not always necessary if imaging findings are conclusive.

How robotic tools and AI are used to treat kidney cancer

Now I’d like to talk about a topic that is extremely recent: artificial intelligence, with some mention of robotic surgery, and how robotic tools and AI are used to treat kidney cancer. I already made an article about the introduction of AI in robotic surgery, but this time I want to focus on kidney cancer.

Artificial intelligence is playing an increasingly important role in the diagnosis and treatment of kidney cancer, improving accuracy, efficiency, and even patient outcomes. In diagnostics, AI-powered algorithms analyze medical imaging from CT scans, MRIs, and ultrasounds to detect renal tumors at earlier stages with greater precision than traditional methods. These algorithms can even distinguish between benign and malignant lesions, reducing unnecessary biopsies and enabling more targeted treatment planning.

In surgical treatment, robotic-assisted systems like the Da Vinci Surgical System, including the latest Da Vinci Xi, have revolutionized minimally invasive procedures such as robotic-assisted partial or radical nephrectomy. These advanced robotic platforms provide surgeons with enhanced 3D visualization, superior dexterity, and increased precision, allowing for smaller incisions, reduced blood loss, and faster patient recovery times. AI also aids in treatment personalization, using machine learning models to predict patient responses to different therapies, including immunotherapy and targeted drug treatments.

As AI continues to evolve, its integration with robotic surgery and predictive analytics promises even greater advancements for kidney cancer treatment, improving both survival rates and quality of life for patients.

The health challenge of kidney cancer

In conclusion, kidney cancer remains a significant health challenge. Understanding the risk factors, recognizing symptoms early, and undergoing timely medical evaluations are crucial for successful diagnosis and treatment.

With the rise of artificial intelligence in medical imaging and the use of robotic-assisted surgery, precision and effectiveness in kidney cancer management have greatly improved.

Additionally, ongoing research in targeted therapies and immunotherapy continues to expand treatment options, offering new hope for the patients and their doctors.