Literature DB >> 32612725

Synchronous tumours detected during cancer patient staging: prevalence and patterns of occurrence in multidetector computed tomography.

Antonio Corvino1, Sergio Venanzio Setola2, Fabio Sandomenico2, Fabio Corvino3, Orlando Catalano2.   

Abstract

PURPOSE: The incidental detection of one or more additional primary tumours during computed tomography (CT) staging of a patient with known malignancy is rare but possible. This occurrence should be considered by the radiologist when a new lesion is detected, especially if the lesion location is atypical for metastases. The purpose of this report was to document the usefulness of total body CT scan to detect synchronous primary malignancies in cancer patients undergoing a staging workup.
MATERIAL AND METHODS: This was done by reviewing the staging CT studies of the adult patients with a newly diagnosed cancer evaluated during a five-year period in a single cancer institute in order to identify any possible correlation, establishing which tumours are more frequently combined with a second tumour and which second tumours are more commonly present.
RESULTS: Among the patients with a second tumour, the most frequent first primary tumours were melanoma (eight patients, 17.8%), lymphoma (seven patients, 15.6%), and prostate carcinoma (seven patients, 15.6%). The most frequent incidentally detected second tumours were hepatocellular carcinoma (nine patients, 20% of 45 incidental tumours), renal carcinoma (eight patients, 17.8%), lung carcinoma (seven patients, 15.6%), and bladder carcinoma (four patients, 8.9%). One patient had three primary tumours synchronously.
CONCLUSIONS: We believe that the radiologist's knowledge of the prevalence and pattern of occurrence of these multiple primary malignancies represents added diagnostic value.
Copyright © Polish Medical Society of Radiology 2020.

Entities:  

Keywords:  computed tomography (CT); diagnostic imaging; multiphasic CT protocol; multiple primary malignancies (MPMs); synchronous tumours

Year:  2020        PMID: 32612725      PMCID: PMC7315052          DOI: 10.5114/pjr.2020.95781

Source DB:  PubMed          Journal:  Pol J Radiol        ISSN: 1733-134X


Introduction

Multiple primary malignancies (MPMs), defined as two or more malignant primary tumours arising in the same patient, are an uncommon but well recognised medical evidence, especially for clinicians and oncologists [1,2]. MPMs present the following clinical and histological characteristics: (1) malignant tumours based on histopathologic criteria, (2) topographic distinction without connection (skip lesions), and (3) ruling out that the second tumour is not a metastasis of the first. This avoids misclassification of multifocal or multicentric tumours or metastases as multiple primaries. A cancer is classified as index cancer if there has been no prior record of invasive cancer. In addition, a temporal classification describes MPMs as synchronous or metachronous, depending on whether diagnosis of the second tumour was made within or after six months of the first (“index tumour”) [1,2]. When a new cancer diagnosis occurs, staging examinations are performed to assess the extent of disease [3]. In this clinical scenario, it is not uncommon for the radiologist who is performing a computed tomography (CT) study to find suspicious lesions, which are often superficially classified as metastases but instead could be MPMs [4,5]. In particular, discovery of another incidental primary malignancy changes significantly the patient management. For example, in some cases the second primary tumour may require treatment more urgently than the first malignancy, for which therapy would then be deferred [5,6]. Thus, radiologists should be able to detect the multiple primary tumours revealed by CT, and should not automatically consider any additional CT finding as due to a metastasis, especially for those lesions located outside the frequent sites of tumour metastasis [7,8]. Aim of our retrospective, single-cancer-centre study was to assess the incidence of second, occult primary tumours in a large population undergoing staging CT, and to determine the type and extent of these tumours. This was done to identify any possible correlation, establishing which tumours are more frequently combined with a second tumour, and which second tumours are more commonly present. We believe that the radiologist’s knowledge of the prevalence and pattern of occurrence of MPMs represents added diagnostic value.

Material and methods

We reviewed the clinical charts of adult patients with a newly diagnosed cancer evaluated from January 1, 2014 to December 31, 2019 in a single cancer institute of the metropolitan area of Naples, Southern Italy. According to Warren and Gate’s criteria [9], a second tumour was defined as a previously unknown malignancy of a different histological type detected in the same organ of the first primary cancer or in another organ. All of the primary tumours in MPMs patients occurring simultaneously or within six months were classified as synchronous. Inclusion criteria were: availability of good-quality staging CT studies and availability of a definitive diagnosis for all tumours present in the same patient. Patients with central nervous system (CNS) tumours were not included in our study, having been assessed in the Neuroradiology Unit by other colleagues. Also, only patients older than 18 years were included because young subjects are not admitted to our institution. The enrolled patients harboured MPMs in different systems, including digestive tumours, neck cancers, lung cancers, urinary tumours, reproductive tumours, breast tumours, haematological malignancies, and endocrine tumours. The pathological types and clinical stages of malignancies were stratified separately according to the 3rd Edition of the International Classification of Diseases for Oncology (ICD-O) [9] and the 7th Edition of the American Joint Committee on Cancer (AJCC) [10]. CT was used to investigate all morphologic and dynamic features of neck, chest, abdomen, and pelvis primary tumours and their patterns of local, nodal, and haematogenous tumour spread. The identification of nodal involvement on CT was based on nodal size, typically using a minimum cut-off of 1 cm in short-axis diameter, although this approach may have led to both under- and over-staging of metastatic nodal involvement. The standard of reference for confirming the presence or absence of malignancy was either histopathology (biopsy or surgery) or clinical-radiological follow-up for at least six months, based on Response Criteria In Solid Tumours (RECIST) [11]. Tumour progression in the follow-up CT scan or decrease in lesion size during ongoing systemic therapy were considered positive for the presence of malignancy. Lack of change or decrease in size of a lesion without ongoing systemic therapy over at least a six-month interval was considered negative for malignancy. CT scanning of the neck, chest, abdomen, and pelvis was performed using a 64-slice multidetector CT (MDCT) scanner (LightSpeed VCT, GE Healthcare). All patients received a bolus injection (2.5 cc/s) of non-ionic iodinated contrast media (Iopamiro 370 mgI/ml Bracco Imaging, Milan, Italy) followed by 200 cc of saline solution with a dual-head injector (Stellant Injection System, Medrad Inc., United States). The administered amount of CT contrast agents was adjusted according to age and weight. CT scanning was done using three volumes, with the first volume including the chest, abdomen, and pelvis in the unenhanced phase, the second volume including the neck and chest in the arterial phase, and the third volume including the chest, abdomen, and pelvis in the portal venous phase. Specifically, arterial and portal venous acquisitions were performed with fix scan delays of 35 and 80 s after intravenous bolus injection of iodinated contrast media. Technical scan parameters were the following: detector configuration = 1 × 32 mm; table feed 36 mm/s; rotation time = 0.75 s; helical pitch = 27; section thickness = 5 mm; 120 kVp; automated tube current modulation. From the raw data of the acquisition, 3 mm thick transverse sections were reconstructed with 1.5 mm increments. Tube voltage and tube setting were 120 kV and 130 mAs for the neck and chest region and 120 kV and 200 mAs for the abdominal and pelvic region with application of automatic tube current modulation. The computed tomography dose index volume (CTDIvol) ranged between 3.0 and 5.0 mGy. Categorical variables are presented as the number of patients and percentages. Fisher’s exact test was used for statistical comparisons of the two groups (with and without second tumour). It was used also to calculate the relative risk for each risk factor considered, including patient age, sex, and ethnic correlation. P-values less than 0.05 were considered statistically significant. All statistical analyses were performed using MedCalc for Microsoft Windows (version 13.1.2.0, MedCalc).

Results

Overall, 1247 subjects (18-88 years old, mean 50.1 years) were enrolled. These included 653 males (52.4%) and 594 females (47.6%). There were 1202 patients without CT evidence of a second tumour (prevalence 96.4%, including 625 males and 577 females – mean age 50.6 years) and 45 patients with CT detection of a second tumour (prevalence 3.6%, including 28 males and 17 females – mean age 64.1 years) (Table 1). Among MPM patients, the relative risk increased with patient age and male sex, while no ethnic correlation was found.
Table 1

Demographic characteristics of the cancer population enrolled

ParameterPatients withouta second tumour,n = 1202Patients witha second tumour,n = 45Totalpopulation,N = 1247
Mean age61 years74 years62 years
Males62528653
Females57717594
Demographic characteristics of the cancer population enrolled The second tumour could be classified as non-advanced in 16/45 cases (35.6%) and as advanced in 29/45 cases (64.4%). In one case only the second tumour was in the same organ as the first one (hepatocellular carcinoma [HCC] plus cholangiocellular carcinoma). In all the remaining cases, the second tumour was in a different organ. Among the patients with a second tumour, the most frequent first primary tumours were melanoma (eight patients, 17.8%) (Figure 1), lymphoma (seven patients, 15.6%) (Figures 2 and 3), and prostate carcinoma (seven patients, 15.6%) (Table 2 and Figure 4).
Figure 1

Axial contrast-enhanced computed tomography (CT) scans. Incidental detection of multifocal hepatocellular carcinoma (HCC) (A) (yellow arrows point to HCC nodules) in a 58-year-old female patient undergoing CT staging for metastatic cutaneous melanoma (B) (dashed circles indicate melanoma metastases)

Figure 2

Axial (A, B) and coronal (C) contrast-enhanced computed tomography (CT) scans. Incidental detection of hepatocellular carcinoma (HCC) (A) (yellow arrow) in a 78-year-old male patient undergoing CT staging for non-Hodgkin lymphoma (B) (red arrows). C) Both tumours are shown on coronal CT scan

Figure 3

Axial (A) and sagittal (B) contrast-enhanced computed tomography (CT) scans. Incidental detection of cervix carcinoma (yellow arrow) in a 60-year-old female patient undergoing CT staging for thyroid lymphoma (red arrows)

Table 2

Distribution of primary tumour according to the tumour-type

Tumour typePatientswithouta secondtumourPatientswitha secondtumourTotalpopulation
Breast carcinoma1164 (8.9%)120
Lung carcinoma1492 (4.4%)151
Melanoma1118 (17.8%)119
Hepatocellular carcinoma1371 (2.2%)138
Pancreatic carcinoma441 (2.2%)45
Stomach carcinoma881 (2.2%)89
Colorectal carcinoma1084 (8.9%)112
Soft-tissue sarcoma742 (4.4%)76
Ovarian carcinoma682 (4.4%)70
Uterine carcinoma672 (4.4%)69
Prostate carcinoma817 (15.6%)88
Lymphoma837 (15.6%)90
Other primary tumours764 (8.9%)80
Figure 4

Distribution of first tumour according to the tumour-type

Axial contrast-enhanced computed tomography (CT) scans. Incidental detection of multifocal hepatocellular carcinoma (HCC) (A) (yellow arrows point to HCC nodules) in a 58-year-old female patient undergoing CT staging for metastatic cutaneous melanoma (B) (dashed circles indicate melanoma metastases) Axial (A, B) and coronal (C) contrast-enhanced computed tomography (CT) scans. Incidental detection of hepatocellular carcinoma (HCC) (A) (yellow arrow) in a 78-year-old male patient undergoing CT staging for non-Hodgkin lymphoma (B) (red arrows). C) Both tumours are shown on coronal CT scan Axial (A) and sagittal (B) contrast-enhanced computed tomography (CT) scans. Incidental detection of cervix carcinoma (yellow arrow) in a 60-year-old female patient undergoing CT staging for thyroid lymphoma (red arrows) Distribution of first tumour according to the tumour-type Distribution of primary tumour according to the tumour-type The most frequent incidentally detected second tumours were hepatocellular carcinoma (nine patients, 20% of 45 incidental tumours) (Figure 5), renal carcinoma (eight patients, 17.8%) (Figure 6), lung carcinoma (seven patients, 15.6%) (Figure 7), and bladder carcinoma (four patients, 8.9%) (Figure 8). One patient had three primary tumours synchronously. The distribution of second tumours according to tumour type is shown in the histogram in Figure 9. In two patients, a synchronous occurrence of primary tumours in which one of them showed a multifocal growth pattern was found. Specifically, the multifocal tumours were one HCC (Figure 1) and one bladder carcinoma (Figure 10).
Figure 5

Axial (A, B) and sagittal (C) contrast-enhanced computed tomography (CT) scans. Incidental detection of hepatocellular carcinoma (A) (yellow arrow) in a 68-year-old male patient undergoing CT staging for right kidney clear-cell carcinoma (B) (dashed circle). C) Both tumours are shown on sagittal CT scan

Figure 6

Axial (A, B, E) and coronal (C, D) contrast-enhanced computed tomography (CT) scans. Incidental detection of renal clear-cell carcinoma (A) (yellow arrow) with nodal metastasis to the mediastinum (B) (green arrow) and renal vein thrombosis (D) (yellow arrow) and in a 65-year-old female patient undergoing CT staging for sigmoid colon adenocarcinoma (E) (red arrows). C) Both renal clear-cell carcinoma and nodal metastasis to the mediastinum are shown on coronal CT scan

Figure 7

Sagittal contrast-enhanced computed tomography (CT) scan. Incidental detection of lung adenocarcinoma (yellow arrow) in a 47-year-old female patient undergoing CT staging for cheek cutaneous melanoma with cervical lymph node metastasis (red arrows)

Figure 8

Axial (A, B) and coronal (C) contrast-enhanced computed tomography (CT) scans. Incidental detection of bladder carcinoma (A) (dashed circle) in a 76-year-old male patient undergoing CT staging for epidermoid lung carcinoma (B) (red arrow). C) Both tumours are shown on coronal CT scan

Figure 9

Distribution of second tumour according to the tumour-type

Figure 10

Axial (A, B) and coronal (C) contrast-enhanced computed tomography (CT) scans. Incidental detection of multifocal bladder carcinoma (A) (yellow arrows and dashed circle) in a 70-year-old male patient undergoing CT staging for lung adenocarcinoma (B) (red arrows). C) Both tumours are shown on coronal CT scan

Axial (A, B) and sagittal (C) contrast-enhanced computed tomography (CT) scans. Incidental detection of hepatocellular carcinoma (A) (yellow arrow) in a 68-year-old male patient undergoing CT staging for right kidney clear-cell carcinoma (B) (dashed circle). C) Both tumours are shown on sagittal CT scan Axial (A, B, E) and coronal (C, D) contrast-enhanced computed tomography (CT) scans. Incidental detection of renal clear-cell carcinoma (A) (yellow arrow) with nodal metastasis to the mediastinum (B) (green arrow) and renal vein thrombosis (D) (yellow arrow) and in a 65-year-old female patient undergoing CT staging for sigmoid colon adenocarcinoma (E) (red arrows). C) Both renal clear-cell carcinoma and nodal metastasis to the mediastinum are shown on coronal CT scan Sagittal contrast-enhanced computed tomography (CT) scan. Incidental detection of lung adenocarcinoma (yellow arrow) in a 47-year-old female patient undergoing CT staging for cheek cutaneous melanoma with cervical lymph node metastasis (red arrows) Axial (A, B) and coronal (C) contrast-enhanced computed tomography (CT) scans. Incidental detection of bladder carcinoma (A) (dashed circle) in a 76-year-old male patient undergoing CT staging for epidermoid lung carcinoma (B) (red arrow). C) Both tumours are shown on coronal CT scan Distribution of second tumour according to the tumour-type Axial (A, B) and coronal (C) contrast-enhanced computed tomography (CT) scans. Incidental detection of multifocal bladder carcinoma (A) (yellow arrows and dashed circle) in a 70-year-old male patient undergoing CT staging for lung adenocarcinoma (B) (red arrows). C) Both tumours are shown on coronal CT scan

Discussion

The first report about MPMs was in 1889 by Billroth, which described a patient with a spinocellular epithelioma of the right ear and a gastric carcinoma [12]. Until 1932, when Warren and Gates classified 1259 such patients from literature reports and post-mortem examinations, only a few such cases had been recognised [13]. Since that time, numerous series and case reports in the literature have cited similar occurrences involving a single organ or multiple organ systems [1,2]. In recent years, the incidence of MPMs is increasing and is expected to continue to do so. This increase has been ascribed to several factors, such as better imaging detection of many forms of cancer, longer mean lifetime, mostly in Western populations, treatments at initial tumour staging, quality of oncologic follow-up, and better prognosis of many neoplasms [14-16]. According to the literature, 1.2-3.5% of cancer patients are unexpectedly affected by a new synchronous neoplasia detected during a diagnostic or therapeutic phase [17]. Overall, the risk of developing a second primary malignancy varies in different cancer sites and is reported to range from 1% (primary liver malignancy) to 16% (primary bladder cancer) [18]. To date, there is no universal diagnostic technique with overall oncologic accuracy, neither are there diagnostic guidelines to detect synchronous MPMs [6]. The choice between CT, magnetic resonance imaging (MRI), positron emission tomography (PET), and even ultrasound (US) depends on the tumour type or body region [19,20]. The most widespread and recommended method for cancer staging is contrast-enhanced multidetector CT (MDCT) because it allows total-body evaluation within an extremely short time frame and, through volumetric acquisition, provides a multiplanar reconstruction of the tissues and organs of interest [21,22]. Both the primary tumour and associated tumours in adjacent and/or distant organs can be detected [23]. However, despite the interesting perspective that is achieved by high-quality multiplanar reconstruction MDCT imaging and its utility in the correct assessment of tumour extension, CT sensitivity in discovering further tumours is relatively low (85-90%), especially in the case of lesions not distinguishable from benign abnormality (e.g. cutaneous melanoma, small thyroid tumour, or prostate carcinoma) [24]. To maximise the efficiency of contrast-enhanced MDCT to be a real “one-stop-shop” oncology examination, a controversial issue refers to the optimal scanning protocol. The question is which protocol is needed to address as many specific diagnostic problems as possible. Currently there are no universal diagnostic CT protocols [25]. In order to better detect both metastatic disease and MPMs, administration of intravenous contrast material with a multiphasic approach is essential [25,26]. The routine use of intravenous media, unless contraindicated in some patients, helps to delineate sites of disease, especially within solid organs. In our institution, all patients underwent a contrast-enhanced CT with a three-phase approach including unenhanced, arterial, and portal venous acquisition. Similarly, scanning volumes must be appropriate to ensure a “diagnostic CT” [25]. In patients with tumours of the neck-chest-abdomen-pelvis, we normally limited our total-body scan to an examination of the base of the skull, neck, chest, and abdomen down to the upper thighs. In patients with malignant melanoma or peripheral sarcoma, instead, the upper extremities and lower extremities were included in the scan, but at the cost of an increase in examination time and dose to the patient. Minimising the radiation dose delivered to patients while preserving the diagnostic accuracy of the CT examination should be a radiologist’s duty in the current era of MDCT technology [27]. Indeed, radiologists should always attempt to obtain a diagnostic benefit-to-risk ratio as high as reasonably achievable (AHARA), and such a radiation consciousness should primarily involve patients under 30 years old because the lifetime risk of radiation-induced cancer is greater the younger the patient. Although several dose-reduction strategies can be successfully applied in contrast-enhanced MDCT, such as the use of iterative reconstruction algorithms combined with either low tube voltage or low tube current protocols, these technologies are still not widely available in clinical practice. Thus, dose reduction in MDCT should primarily result from the optimisation of acquisition protocols, because unindicated acquisition phases or inappropriately wide scan volumes in contrast-enhanced MDCT are a major source of unjustified radiation exposure [27,28]. Techniques that non-invasively yield in vivo information on cellular metabolism, such as PET, can be used in cancer assessment to detect unexpected tumour sites based on the increased uptake of radioactive tracer [29]. In clinical practice, the most commonly used radiotracer is 18F-labelled fluorodeoxyglucose (FDG). Cancer lesions accumulate higher concentrations of radiotracer than normal tissue and are therefore recognisable as areas of increased radioactive intensity, which can be quantified and followed over time [30]. PET-CT scanners combine the morpho-functional images of PET with the anatomical images provided by CT. These devices offer the advantage of an accurate correspondence between areas of physiological and pathological radioactive tracer collection and anatomical landmarks, an essential feature in the correct interpretation of PET images, and thus reduce the number of false positives. Overall, the reported sensitivity and specificity of PET-CT in the detection of MPMs has been demonstrated to be, respectively, 91% and 69% [31-33]. Among intrinsic limitation of 18FDG-techniques, there is no qualitative distinction between inflammatory and neoplastic tissue, and it is often difficult to assess organs that tend to concentrate large amounts of FDG (e.g. thyroid, liver, bladder). Also, several kinds of tumours are not FDG-amenable, such as renal cell carcinoma, prostate cancer, and gastric lesions, particularly small ones, in which the tracer concentration is limited, such as early gastric cancer, deep liver lesions, and low-grade soft-tissue malignancies. In the absence of pronounced morphological changes, this may lead to false-negatives in early-stage disease. Furthermore, the high cost of PET-CT, its limited availability restricted to a few specialised centres, and the guidelines limiting the amount of radiation allowed for each first-stage diagnostic session restrict its use [6]. For these reasons, baseline FDG-PET is not extensively performed in clinical practice, and the majority of these examinations were acquired after CT studies. Thus, CT remains the most commonly used imaging modality for staging newly diagnosed tumours, and in some cases it is the only imaging test needed prior to surgical management. This aspect further confirms the usefulness of our research. Our study had some limitations. First, a selection bias. Although we used a population-based surveillance system, we studied only data from a single hospital. In addition, the patients enrolled were selected from a population of patients entering in our cancer institute, which is a regional reference centre in the diagnosis and treatment of melanomas and lymphomas. Therefore, it was obvious that melanoma and lymphoma patients had a high prevalence of MPMs. Second, only patients with newly diagnosed synchronous MPMs were included, and the results of this study may not apply to other, larger MPMs patient populations. Third, our retrospective study includes data for an observation period of only five years. In our opinion, a more sophisticated analysis of MPMs requires a larger, well-defined population under observation for ≥ 10 years. Fourth, patients with CNS tumours were not included in our study, having been assessed in the Neuroradiology Unit by other colleagues. Similarly, only patients older than 18 years were included in the study because young subjects are not admitted to our institution. And fifth, patients experience of staging CT was not compared to that of FDG-PET or FDG-PET/CT.

Conclusions

Our study deals with multiple primary tumours coexisting in the same organ or in different organs in the same patient and detected synchronously during CT staging. Because the clinical implications and therapeutic strategies vary significantly according to a correct diagnosis, radiologists should be aware of this occurrence. Thus, when planning the CT acquisition, radiologists should evaluate all the possibilities of using a multiphasic CT approach in order to improve the diagnostic accuracy of the examination, but they should try to avoid unindicated acquisition phases or inappropriately wide scan volumes as a source of unjustified radiation exposure. Additionally, when reviewing the CT images, they should not automatically consider any new lesion as a metastasis. Particularly in the case of an uncommon site of metastatic lesion, a second primary tumour should be considered in the differential diagnosis.
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