Background
Lymph node (LN) involvement and distant metastasis of non-small cell lung cancer (NSCLC) are indicators of a poor prognosis[
1]. The 5-year survival has been shown to decrease with the extent of LN involvement in cases with any T designation (any T) and without extra-nodal metastatic disease (M0)[
2]. Clinical staging can sometimes indicate the appropriate direction for therapy. Pathologic staging is still the reference standard, and the overall level of agreement between clinical staging based on thoracic computed tomography (CT) and pathological staging was only from 35% to 55%[
3]. Therefore, a sensitive diagnostic tool for clinical staging has been needed to improve treatment selection in NSCLC.
Mediastinoscopy[
4] and endobronchial ultrasonography-transbronchial needle aspiration (EBUS-TBNA)[
5] show high sensitivity and specificity for LN staging, but they are invasive tests, and their ability to obtain a sample is dependent on the location of the lesion. Noninvasive imaging, such as CT and magnetic resonance imaging (MRI), has been used for NSCLC staging.
2-Deoxy-2-
18F-fluoro-
d-glucose (FDG) positron emission tomography (PET) has contributed to more accurate mediastinal staging of lung cancer with median sensitivity and specificity of 61% and 79%, respectively[
6]. In recent studies, FDG PET/CT has been highly specific in mediastinal nodal staging (specificity 84% to 100%), but it has been sensitive in a different range (sensitivity 45.2% to 91.6%)[
7‐
21]. Even though integrated PET/CT helps improving the accuracy of mediastinal nodal staging, it is still insufficient for detection of microscopic lymph node metastases[
22].
A biologic factor intimately related to malignancy is tumor cell proliferation. Such proliferation has a prognostic relevance in various malignancies, including NSCLC[
23]. Recently, a thymidine analog, carbon-11-labeled 4′-thiothymidine ([
11C] 4DST, originally designated as [
11C]S-dThd), was introduced as a cell proliferation imaging agent based on its mechanism of incorporation into DNA[
24‐
26]. In our previous report, we demonstrated the great potential of 4DST-PET/CT for proliferation imaging in lung cancer itself[
27]. Moreover, we showed a case which indicated the potential of 4DST for the detection of LN metastasis in NSCLC[
27]. The background 4DST uptake in mediastinum was lower than that of FDG; therefore, we hypothesize that 4DST might have an advantage for detecting mediastinal lymph node metastasis. In this study, the characteristics of 4DST PET/CT for LN staging were evaluated, especially in comparison to those of FDG PET/CT. In addition, patients' prognoses according to several factors evaluated in the pre-surgical state were surveyed.
Methods
Patients
This prospective study was approved by the National Center for Global Health and Medicine institutional review board, and written informed consent was obtained from all patients. The inclusion criteria of this study were first histologic diagnosis of NSCLC based on bronchoscopic biopsy or cytology, clinical stage I to IIIA based on contrast-enhanced (CE) CT examination, and scheduled to complete resection of primary lung tumor without any neoadjuvant therapy. Exclusion criteria for this study were patients with age 20 years or younger, uncontrolled diabetes, pregnancy, and suggested extrathoracic metastasis by whole-body FDG-PET/CT scan; however, no patients met these exclusion criteria. A total of 31 patients (21 men and 10 women; mean (±SD) age 67.6 ± 11.7 years; range 36 to 88 years) was included consecutively (Table
1). All included patients were referred to our hospital for further testing of detected lung lesion. Most of the patients were asymptomatic and detected lung lesions by annual medical examination based on chest X-ray and/or chest CT. As a result, the high rate of early stage NSCLC was included in this study.
Table 1
Clinical data and PET/CT findings in 31 patients with NSCLC
1 | 56 | M | Adeno | 31 | pT2aN0M0 | N0 | N0 | 4.7 | 10.9 | - | - | 0.6 | 1.6 |
2 | 79 | F | Adeno | 14, 18 | pT1aN0M0 | N0 | N0 | 1.8 to 2.1 | 1.3 to 2.8 | - | - | 1.1 | 2.2 |
3 | 55 | F | Adeno | 18 | pT1aN0M0 | N0 | N0 | 4.1 | 7.7 | - | - | 1.0 | 1.7 |
4 | 60 | M | Adeno | 15 | pT1aN2M0 | N2 | N0 | 1.5 | 1.4 | 1.7 | - | 0.7 | 1.7 |
5 | 69 | M | Adeno | 12 | pT3N1M0 | N2 | N2 | 2.7 | 13.7 | 1.9 to 3.1 | 2.0 to 2.7 | 0.6 | 1.6 |
6 | 62 | M | Adeno | 32 | pT2aN2M0 | N2 | N2 | 3.5 | 7.1 | 1.6 to 3.5 | 2.9 to 3.6 | 0.9 | 1.9 |
7 | 77 | F | Adeno | 20 | pT1aN0M0 | N0 | N0 | 2.7 | 4.5 | - | - | 0.8 | 2.2 |
8 | 73 | F | Adeno | 15 | pT2aN0M0 | N3 | N3 | 2.7 | 5.2 | 2.7 to 4.4 | 3.6 to 5.8 | 1.0 | 2.1 |
9 | 58 | M | SCC | 30 | pT2aN1M0 | N2 | N0 | 3.0 | 5.6 | 2.1 to 2.5 | - | 0.8 | 1.7 |
10 | 55 | M | Large cell | 62 | pT2bN1M0 | N2 | N2 | 3.2 | 7.6 | 1.9 to 2.0 | 1.7 | 1.0 | 1.8 |
11 | 72 | M | Adeno | 55 | pT2bN0M0 | N1 | N0 | 4.5 | 10.1 | 3.0 | - | 0.9 | 2.3 |
12 | 74 | M | SCC | 30 | pT2aN0M0 | N1 | N1 | 3.9 | 17.3 | 4.2 | 3.1 | 1.0 | 2.1 |
13 | 78 | M | Adeno | 38 | pT2aN0M0 | N0 | N1 | 4.0 | 6.3 | - | 2.3 | 0.9 | 2.0 |
14 | 73 | M | Adeno | 20 | pT1aN0M0 | N2 | N1 | 2.1 | 3.6 | 2.9 to 3.0 | 2.5 to 3.3 | 0.6 | 2.3 |
15 | 79 | M | Adeno | 19 | pT1aN0M0 | N2 | N0 | 3.0 | 4.2 | 2.4 to 2.6 | - | 0.7 | 2.1 |
16 | 58 | F | Adeno | 18 | pT1aN2M0 | N2 | N0 | 1.5 | 3.5 | 3.9 to 4.2 | - | 0.6 | 2.2 |
17 | 54 | M | SCC | 32 | pT2aN0M0 | N2 | N0 | 1.6 | 0.8 | 2.2 | - | 0.7 | 1.6 |
18 | 84 | M | Adeno | 19 | pT1aN0M0 | N0 | N0 | 1.9 | 1.2 | - | - | 0.5 | 2.1 |
19 | 76 | M | Adeno | 25 | pT2aN0M0 | N2 | N0 | 6.5 | 13.5 | 3.0 to 5.3 | - | 0.6 | 1.8 |
20 | 75 | M | Adeno | 42 | pT2aN2M0 | N2 | N0 | 5.2 | 3.6 | 1.7 | - | 0.7 | 2.0 |
21 | 70 | M | SCC | 45 | pT3N1M0 | N2 | N0 | 5.6 | 15.7 | 2.8 to 2.9 | - | 0.4 | 1.7 |
22 | 73 | M | Large cell | 19 | pT1aN0M0 | N2 | N0 | 2.8 | 4.2 | 1.7 to 2.4 | - | 0.6 | 1.8 |
23 | 76 | M | Large cell | 17 | pT1aN2M0 | N2 | N2 | 1.7 | 2.8 | 2.1 to 3.1 | 4.1 to 4.4 | 0.4 | 1.5 |
24 | 88 | M | SCC | 70 | pT3N0M0 | N2 | N2 | 5.1 | 18.8 | 4.7 to 5.6 | 2.7 to 3.6 | 0.4 | 1.9 |
25 | 36 | F | Adeno | 21 | pT1bN0M0 | N1 | N1 | 4.4 | 3.3 | 2.9 | 2.7 | 0.7 | 2.0 |
26 | 76 | F | SCC | 60 | pT2bN0M0 | N2 | N2 | 4.8 | 18.1 | 2.3 to 2.4 | 2.2 to 2.3 | 0.5 | 1.7 |
27 | 43 | F | Adeno | 28 | pT2aN0M0 | N1 | N0 | 2.4 | 9.3 | 1.6 | - | 0.9 | 1.9 |
28 | 70 | M | Adeno | 20 | T1bN2M1a | N2 | N2 | 3.0 | 3.0 | 2.0 to 3.3 | 3.0 | 0.4 | 1.9 |
29 | 69 | F | Adeno | 22 | T1aN0M1a | N3 | N0 | 2.5 | 2.8 | 1.6, 1.6 | - | 0.6 | 1.7 |
30 | 70 | M | Adeno | 37 | T2aN0M1a | N3 | N0 | 4.7 | 12.2 | 2.6 to 4.9 | - | 0.7 | 2.3 |
31 | 61 | F | Adeno | 32 | T2aN2M1a | N2 | N2 | 3.3 | 8.9 | 1.7 to 4.1 | 3.1 | 0.5 | 1.6 |
A part of data from 18 of these patients was used in the previous study[
27]. All patients underwent CECT before 4DST-PET/CT and FDG-PET/CT. All imaging was performed before surgical resection of the lung lesion and systematic resection of LNs. The mean interval between CE chest CT and surgery was 28 days.
4DST PET/CT examination
The 4DST was synthesized as previously described[
27]. All subjects fasted for 5 h before receiving an intravenous injection of 4DST with a median of 716 MBq (range 283 to 777 MBq). According to our previous report[
27], PET/CT images were obtained 40 min after intravenous injection of 4DST, and used either of two PET/CT systems (Biograph 16; Siemens Medical Solutions, Munich, Germany and Discovery PET/CT 600; GE Healthcare, Pewaukee, WI, USA). These systems consist of a PET scanner and a multi-detector-row CT scanner (16 detectors). Imaging covered from the vertex to the mid-thigh. Low-dose CT with shallow breathing was performed first and used for attenuation correction and image fusion. Low-dose CT data for Biograph 16 was acquired at 120 kVp using an auto exposure control system, beam pitch of 0.833, slice thickness of 5 mm, and that data for Discovery PET/CT 600 was acquired at 120 kVp using an auto exposure control system, beam pitch of 0.938, slice thickness of 3.75 mm. Emission images were acquired in three-dimensional mode for 2.5 min per bed position. PET data were reconstructed using a Gaussian filter with an ordered-subset expectation maximization algorithm (three iterations, eight subsets for the Biograph 16, and three iterations, 16 subsets for the Discovery PET/CT 600). The mean intervals between CE chest CT and 4DST-PET/CT, between 4DST-PET/CT and FDG-PET/CT, and between 4DST-PET/CT and surgery were 16, 5, and 12 days, respectively.
FDG PET/CT examination
An in-house cyclotron and automated synthesis system (F100 or F200; Sumitomo Heavy Industries, Shinagawa, Tokyo, Japan) was used in accordance with the authorized procedure to synthesize FDG.
All subjects fasted for 5 h before blood glucose levels were measured, and the blood glucose level had to be under 120 mg/dL at the time of FDG injection. FDG was intravenously injected, and the activity was fixed at 370 MBq for 22 patients and administered at 5.0 MBq/kg of body weight (range 283 to 388 MBq) for nine patients. PET/CT images were obtained 60 min after injection with the same PET/CT machine and method as for the 4DST PET/CT examination. The mean intervals between CE chest CT and FDG PET/CT, and between surgery and FDG PET/CT were 14 and 28 days, respectively.
PET/CT data analysis
All 4DST and FDG-PET/CT scans were evaluated in consensus of two board-certified nuclear medicine physicians blind to clinical and pathological information. Regions of interest (ROI) were placed over the lung lesion according to the CT images obtained from PET/CT and with reference to the CE chest CT image. The maximum standardized uptake value (SUVmax) was determined for 4DST and FDG PET/CT images. The size of the lung lesion was determined from the CE chest CT image.
Nodal stage was classified according to the American Joint Committee on Cancer (AJCC) staging system for the classification of lung cancer[
28] in order to compare the results of PET/CT and histopathological analysis. The reference standard for the diagnosis of mediastinal metastases was surgical exploration of the mediastinum and histopathological examination of mediastinal LN compartments. Patients' TNM stages were determined according to the 7th Edition of the Lung Cancer TNM Classification; four patients who were inoperable were assessed by a combination of clinical and pathological TNM staging. Pathological diagnosis was performed by an experienced pathologist based on hematoxylin and eosin-stained tissue Sections.A positive PET scan for an N2 lesion was defined as a visually focal PET uptake that was matched to any small nodal lesions identified on the CT image of the PET/CT and with reference to the CECT image. The exact location of an N1 lesion was difficult to assess on PET/CT; thus, a PET scan was defined as positive for the N1 area if any focal uptake was confirmed in an N1 area. Any LN that existed in an N1 area was combined with that region and, by definition, generated one region named an N1 group (N1G). The SUVmax values of these visually focal uptakes were measured for both 4DST and FDG. To survey the mediastinal background uptake, an ROI was also placed on the ascending aorta as guided by the CT image from the PET/CT. With each agent, a lesion-to-background (L/B) ratio was calculated from the value of the visually focal PET uptake and the value of the background uptake.
Patient follow-up
After resection of the primary tumor and regional LNs, any patient with a pathology-confirmed nodal metastasis received cisplatin-based or oral uracil-tegafur-based chemotherapy. Among the 27 patients who had surgical resection of the lung lesion and LN(s), 19 patients could be followed for at least 2 years for the recurrence of cancer. Of the other eight patients, two patients dropped out from this study 4 months after surgery, and the other six patients were followed-up for less than 2 years without evidence of recurrence.
The presence of a recurrent lesion was determined clinically based on the results of follow-up CE chest and abdominal CT, contrast-enhanced brain MRI, and bone scintigraphy. These tests were performed with duration between tests of 6 months or less. In the present study, disease-free survival (DFS) was defined as the absence of evidence of a previously existing spread lesion or of the recurrence of cancer over the course of 2 years after surgical procedure.
Statistical analysis
Data are expressed as mean ± SD. Mann-Whitney's U test was used to compare both the SUVmax and the L/B ratio between 4DST and FDG. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy values for N staging on a per-node and a per-patient basis were calculated for 4DST and FDG.
The values are expressed as means with 95% confidence intervals (CI). The Mc Nemar chi-square test was performed to compare the sensitivity and specificity between 4DST and FDG, and the chi-square test for independence was performed to compare spread lesion or the recurrence rate between 4DST and FDG.
Univariate and multivariate logistic regression analyses were used to identify potential prognostic factors for DFS from among the following: nodal staging by 4DST, nodal staging by FDG, 4DST uptake in the lung tumor, FDG uptake in the lung tumor, lung tumor diameter, and patient age. To obtain suitable cutoff points for 4DST uptake, FDG uptake (SUVmax), and tumor diameter for primary lung cancer, receiver-operating characteristic curves were used. Two-tailed P values < 0.05 were considered significant.
Discussion
The present study demonstrated that 4DST has a better sensitivity for N staging than FDG in NSCLC, both on a per-patient basis and on a per-node basis. In addition, 4DST uptake in a nodal lesion may predict the spread lesion and recurrence more sensitively than other factors.
The biggest difference between 4DST and FDG imaging was the background uptake in the mediastinum. Since positive uptake was not different between 4DST and FDG, 4DST could show accumulation in LNs more easily because of greater contrast to the ‘background’. The same facts are also reflected in the difference in the L/B ratio between 4DST and FDG. However, it was difficult to set a cutoff value for 4DST uptake to distinguish true positives from false positives because the true- and false-positive 4DST uptakes overlapped. That was a limitation of 4DST for evaluating nodal staging.
As mentioned previously, FDG PET has shown higher sensitivity and specificity than CT in detecting LN metastasis in lung cancer[
5,
28]. For small LNs with a diameter less than 1 cm, FDG PET also has higher sensitivity than CT for detecting regional LN metastasis[
29]. FDG-PET/CT showed variable sensitivity, but consistently high specificity[
6]. However, the sensitivity of FDG-PET/CT decreased to 42% in stage T1 NSCLS[
8]. Stiles et al. reported that lymph node metastasis was pathologically detected in 11.7% of patients with clinical stage IA lung cancer[
30]. These facts indicate a limitation of FDG PET/CT. The present study showed lower sensitivity and specificity for FDG PET/CT than has been reported previously[
5,
28]. The likely causes are (1) the evaluation of small LN groups that would be treated as negative by CT imaging but could be detected as positive by the surgical procedure in the present study, (2) the inclusion of many T1-stage cases (41% of all cases included in the present study), and (3) the inclusion of many cases with micrometastases in lymph nodes. In fact, when the diameter of lymph node with 10 mm or greater in short axis was regarded as positive, the diagnostic result from CECT by two board-certified radiologists was lower (sensitivity 29.4% [5/17], specificity 89.6% [95/106] per nodal station) than previously reported[
5,
28].
The use of 3′-deoxy-3′-
18F-fluorothymidine (FLT) for cellular proliferation imaging has yielded good clinical results[
31]. In contrast, the diagnostic performance of FLT for staging and restaging of thoracic tumors has been reported to be inadequate[
32,
33]. Several reports have shown that FLT has better specificity and PPV than FDG, but lower sensitivity[
32‐
35]. FLT has also shown a limited ability in discriminating reactive and metastatic LNs in head and neck cancers[
36]; this is caused by the FLT uptake to reactive B-lymphocyte proliferation[
37]. Chronic inflammatory granulomatous lesions include more than a small Ki-67-positive lymphocyte fraction[
38]; therefore, increased FLT uptake was confirmed in granulomas that arose after radiation and chemotherapy[
35]. FLT is not incorporated into DNA because of the lack of a 3′-hydroxyl, unlike thymidine[
39]. On the other hand, considering that 4DST is incorporated into DNA[
24,
25], 4DST is expected to discriminate metastatic LNs from others, but it also has a possibility of accumulating with reactive proliferation. According to an animal study, very low levels of 4DST uptake were observed in subacute inflammatory areas, which reflects the cell proliferation status of inflammatory tissues[
40]. In fact, the present results showed no significant difference in 4DST uptake between true positives and false positives. Although 4DST is a proliferation marker, it accumulated not only in malignant lesions, but it also reacted to chronic inflammatory lesions; these facts were also reflected by 4DST uptake in sarcoid lesions. Furthermore, the low PPV and overstaging of 4DST for LN lesions might be partially due to reactive LNs. Low specificity is one of the limitations of 4DST for nodal staging in lung cancer.
One focal point of the present study was the relationship between clinical nodal staging by PET and prognosis. Cases with positive findings on 4DST in the nodal area showed a high incidence of recurrence and lesion extension compared to FDG. Except for the case with a histologically proven sarcoid reaction, positive 4DST uptakes were present along lymphatic channels from the primary lesion so that they seemed to be valid for suspecting metastatic LN lesions. They might be stimulated by the primary lesion and indicate the spread of lesion, even though no malignancy was proven.
The high sensitivity of 4DST for nodal metastasis indicates that it may be detecting micro LN metastasis. On the other hand, the low PPV was a disappointing result with respect to providing accurate LN staging, but positive 4DST uptake in LNs appeared to be a strong factor for predicting the spread lesion or a high possibility of early recurrence. If the false-negative 4DST uptake was regarded as one of the reactive features from the surroundings, it might be caused by inflammatory mediators such as chemokines, cytokines, and prostaglandins associated with cancer-related inflammation[
41,
42]. Nodal staging with 4DST and uptake in the primary lung tumor of 4DST were more influential prognostic factors than the same features with FDG, but further evaluation is needed.
A limitation for M staging with 4DST was anticipated due to physiological uptake in the liver, kidney, and bone marrow. Since only a small number of patients was examined, larger patient samples need to be examined to verify the diagnostic accuracy of 4DST PET for N staging and its potential for predicting prognosis.
Acknowledgements
We thank Takashi Sato, Shingo Kawaguchi, Takuya Mitsumoto, Fumio Sunaoka, Yoshiaki Taguchi, Hiromi Suzuki, and Kahori Miyake for their excellent technical support. This work was supported by a Grant from the National Center for Global Health and Medicine No.21-126 (to Kazuo Kubota, Jun Toyohara, and Kiichi Ishiwata), a Grant-in Aid for Scientific Research (B) No. 22390241 from the Japan Society for the Promotion of Science (to Jun Toyohara), and a Grant-in Aid for Young Scientists (B) No. 24791362 from the Japan Society for the Promotion of Science (to Ryogo Minamimoto).
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
RM and KK are guarantors of integrity of the entire study. RM, JT, KI, KK are responsible for the study concepts and design. RM, JT, KI, KI, and KK participated in the literature research. RM, HI, AS, KN, KK, and MO performed the clinical studies. RM, YM, MM, MO, and KK performed the data analysis/interpretation. RM, JT, KI, KI, and KK did the manuscript preparation. RM, JT, KI, KI, and KK participated in the manuscript revision/review. All authors read and approved the final manuscript.