Skip to main content
The British Journal of Radiology logoLink to The British Journal of Radiology
. 2012 Jul;85(1015):e307–e313. doi: 10.1259/bjr/10438644

Limited value of 99mTc depreotide single photon emission CT compared with CT for the evaluation of pulmonary lesions

S W Harders 1, H H Madsen 1, K Hjorthaug 2, M Rehling 2, T R Rasmussen 3, U Pedersen 4, H K Pilegaard 5, P Meldgaard 6, U T Baandrup 7, F Rasmussen 1
PMCID: PMC3474046  PMID: 22745210

Abstract

Objectives

A contrast-enhanced multidetector CT (MDCT) scan is the first choice examination when evaluating patients with suspected lung cancer. However, while the clinical focus is on CT, research focus is on molecular biological methods whereby radiolabelled pharmaceuticals are injected into participants and target malignant lung tumours. We examined whether a contrast-enhanced MDCT scan supplied with an additional non-contrast enhanced high-resolution CT scan, or a newer but more expensive 99mTc depreotide single photon emission CT (SPECT) scan, was the better first-choice examination for the work-up of pulmonary lesions. Furthermore, we examined whether a 99mTc depreotide SPECT scan was an appropriate second-choice examination for patients with indeterminate lesions.

Methods

140 participants were included in the analysis. CT images were given a malignancy potential rating of 1, 2 or 3 with higher rating being indicative of disease. 99mTc depreotide SPECT images were graded either positive or negative. Histopathology and CT follow-up were used as reference standard. Sensitivity, specificity and diagnostic accuracy were calculated.

Results

Overall sensitivity, specificity and diagnostic accuracy of CT were 97%, 30% and 84%, respectively. Overall sensitivity, specificity and diagnostic accuracy of 99mTc depreotide SPECT were 94%, 58% and 76%, respectively. For indeterminate lesions sensitivity, specificity and diagnostic accuracy of 99mTc depreotide SPECT were 71%, 68% and 69%, respectively.

Conclusion

Both CT and 99mTc depreotide SPECT made valuable contributions to the evaluation of pulmonary lesions. 99mTc depreotide SPECT results were not superior to CT results and did not contribute further to the diagnostic work-up. Regarding indeterminate lesions, 99mTc depreotide SPECT sensitivity was too low.


Lung cancer has a poor prognosis with an overall 5-year mortality rate of approximately 84%. However, with early detection and surgery the mortality rate can be as low as 47% [1]. Lung cancer is a major indication for chest imaging. Many years of CT imaging have seen a steady evolution of methods used to evaluate lung nodules and mass lesions. A contrast-enhanced multidetector CT (MDCT) scan is the first-choice examination when lung cancer is suspected.

While the clinical focus is on MDCT, the research focus is on molecular biological methods whereby radiolabelled pharmaceuticals are injected into participants to target malignant lung tumours. Examples of such functional modalities include 99mTc depreotide single photon emission CT (SPECT) and 18-fluoro-2-deoxyglucose positron emission tomography (18-FDG PET). However, while numerous studies have been published regarding 18-FDG PET, only a limited number, including a preliminary report by our group [2], have focused on 99mTc depreotide SPECT [3].

In this study we examine whether a contrast-enhanced MDCT scan supplied with an additional non-contrast-enhanced high-resolution CT (HRCT) scan or a newer but more expensive 99mTc depreotide SPECT scan is the better first-choice examination when dealing with the work-up of pulmonary nodules and mass lesions. Furthermore, we examined whether a 99mTc depreotide SPECT scan is an appropriate second-choice examination for the subgroup of patients with indeterminate lesions.

Methods and materials

Participants

The study conformed to the Danish legal requirements. Institutional review board approval was obtained from the Aarhus County Committee on Biomedical Research Ethics (M-AAA-20010301) and written informed consent was collected from all participants. Good clinical practice (GCP) guidelines were followed and monitored.

We designed a prospective follow-up study. In a 48-month study period all adult patients, with no previous malignancies referred to the Department of Pulmonology at Aarhus University Hospital for the evaluation of suspected lung cancer, were clinically evaluated. Based on individual signs and symptoms they were referred for an MDCT scan of the thorax and upper abdomen. If a pulmonary lesion was found on MDCT, an additional non-contrast-enhanced spiral HRCT scan of the thorax including the lesion was performed immediately after to study the lesion in greater detail. The patients were offered a 99mTc depreotide SPECT examination within a few days. Consecutive patients with pulmonary lesions ≥5 mm who fulfilled the general criteria were eligible for inclusion; however, only nodules >10 mm were suitable for biopsy. 176 patients were eligible for inclusion and were asked to sign an informed consent form. 25 refused to participate, 2 did not have additional HRCT scans, 3 were excluded by the investigators owing to waiting time for 99mTc depreotide SPECT, 3 did not obtain useful 99mTc depreotide SPECT scans and 3 were excluded because of missing follow-up data. This left 140 participants for final analysis (Figure 1). Participants were only included once.

Figure 1.

Figure 1

CT and 99mTc depreotide single photon emission CT (SPECT) study flow diagram and overall results (modified from www.stard-statement.org). Excl, excluded; indt, indeterminate; Ref, refused.

Procedures

Before standard MDCT scans, iodinated contrast material (Iodixanole, Visipaque® 270 or Iohexole, Omnipaque® 300; GE Healthcare, Oslo, Norway) was administered intravenously to all patients in weight-adjusted doses. MDCT scans were performed on a MDCT spiral scanner (Philips MX 16-channel CT scanner; Philips Healthcare, Best, the Netherlands). Acquisition parameters were section thickness, 1.25 mm; scan mode helical; tube voltage, 120 kV; and filter B. Patients were scanned from the root of the neck to the upper abdomen including the liver and adrenals with a delay of 65 s to acquire proper portal filling. After standard MDCT scans, additional non-contrast-enhanced HRCT scans were performed. HRCT acquisition parameters were section thickness, 1.00 mm; scan mode, helical; tube voltage, 120 kV; and filter L. HRCT scans were planned to include lesions only.

Vials of 47 μg 99mTc depreotide (NeoSpect; GE Healthcare, Buckinghamshire, UK) were prepared, and quality control performed, accordingly to the instruction manual. 555–740 MBq 99mTc depreotide was injected within 5 h of preparation. No special preparations for the patients were required. SPECT was performed 2–4 h after injection with a dual-headed gamma camera at 120 positions using a 128×128 matrix with 30 s per position. Image reconstruction was performed using an iterative algorithm without attenuation correction. Images were post-filtered with a low-pass filter (cut-off 0.30, order number 5.0).

Collection and validation of the data

Two senior consultant radiologists (FR and HHM), who have clinical and research experience with lung cancer imaging, reviewed the CT scans. All reviews were by agreement and no participant data (name, patient ID and clinical data) were visible to the readers. Multiplanar images were reviewed.

Based on size [4], shape [5], attenuation [6], calcification patterns [4,7,8] and other signs associated with the presence of lung cancer [9-11], the readers gave an integrative malignancy potential rating (MPR) on a scale of 1, benign; 2, indeterminate; or 3, malignant.

99mTc depreotide SPECT reviews were performed by two senior consultant nuclear medicine physicians (KH and MR), who have clinical and research experience. All reviews were by agreement and no participant data (name, patient ID or clinical data) were visible to the readers. Only a written description of the location of the lesions was given prior to the assessment. Images were graded positive if there was an increase in uptake in the area of the pulmonary lesion compared with the surrounding normal lung tissue. Otherwise they were graded negative.

Definitive pathological diagnoses were obtained in 75% (105/140) of the cases mainly by biplane fluoroscopy-guided or ultrasound-guided fine-needle aspiration biopsy. In the majority of the procedures material was obtained by biplane fluoroscopy-guided fine-needle aspiration biopsy. Ultrasound-guided biopsies were performed when appropriate and CT-guided biopsies were performed in very few cases. 96% (67/70) of the malignant diagnoses and 54% (38/70) of the non-malignant diagnoses were pathologically verified. Malignant diagnoses were based on cytology or histopathology and non-malignant diagnoses were verified by additional coarse needle aspiration biopsies. In this manner three separately obtained non-malignant diagnoses were accepted. All tissue specimens were examined by a specialised lung pathologist (UB), who characterised the specimens with regard to the presence and type of lung cancer. The remaining 25% (35/140) were not suitable for invasive procedures for various reasons (e.g. nodule size <10 mm, poor compliance, severe comorbidity etc.). These participants were instead followed by regular interval CT scans according to the international standard. Follow-up was done at 3, 6, 12 and 24 months, or longer if necessary [12], but ceased if lesions resolved entirely during the follow-up period. Median follow-up (25th to 75th percentile) was 18 months (range, 6−42 months).

Statistical methods

Descriptive statistics were used for baseline characteristics. Normality was tested with histograms and quantile-quantile (QQ) plots.

CT MPRs were applied on an ordinal scale of 1, 2 or 3, with higher values indicating disease, and tabulated against a reference standard outcome at multiple cut-offs [13]. Sensitivity was prioritised and the CT MPR 2 and 3 were treated as malignant test results. 99mTc depreotide SPECT grades were applied as either positive (malignant) or negative (benign) test results. A side-by-side comparison was done; sensitivity, specificity, positive predictive values (PPVs) and negative predictive values (NPVs) were tabulated; and overall diagnostic accuracies were estimated as the areas under the empirical receiver operating characteristic (ROC) curves [14]. 95% confidence intervals (CI) were computed applying binomial exact methods.

The validity of the 99mTc depreotide SPECT results was examined for all three CT MPRs separately to assess whether 99mTc depreotide SPECT scan was beneficial for any subgroup of patients in a clinical examination algorithm.

We used the licenced statistical software package STATA/IC 10 (StataCorp LP, College Station, TX).

Results

Baseline characteristics

60 males and 80 females with a mean age of 64 years (range, 34–83 years) participated in the study. 137 participants had a mean smoking history of 31 pack-years [standard deviation (SD), 17] [1]. Three participants refused to answer.

Lesion size and distribution

The majority of the lesions in the study were of a moderate size (Table 1). Mean lesion size was 30 mm (SD, 17 mm). There was a distribution of 49% (69/140) malignant and 51% (71/140) benign lesions. Of the 69 malignant lesions, the distribution was 10% (7/69) small cell carcinomas, 13% (9/69) squamous cell carcinomas, 54% (37/69) adenocarcinomas, 1% (1/69) large cell carcinomas, and 22% (15/69) other or unclassified non-small cell carcinomas.

Table 1. Lesion size and proportions of correctly identified lesions by CT and 99mTc depreotide single photon emission CT (SPECT).

Lesion size n CT SPECT
Malignant lesions 69 67/69 65/69
 0−10 mm 3 3/3 0/3
 11–20 mm 14 13/14 13/14
 21–30 mm 19 19/19 19/19
 31–40 mm 18 17/18 18/18
 41–50 mm 6 6/6 6/6
 >51 mm 9 9/9 9/9
Benign lesions 71 21/71 41/71
 0−10 mm 16 6/16 15/16
 11–20 mm 17 5/17 12/17
 21–30 mm 14 5/14 7/14
 31–40 mm 11 1/11 5/11
 41– 50 mm 9 4/9 4/9
 >51 mm 4 0/4 0/4

Overall results

CT and 99mTc depreotide SPECT produced similar results and all were highly significantly associated with malignancy. Thus, for CT, 77% of the malignant lesions were categorised as malignant, 20% as indeterminate and 3% as benign (p<0.001), and for 99mTc depreotide SPECT 94% of the malignant lesions were categorised as positive and 6% as negative (p<0.001). For CT the MPR ROC table was collapsed according to the predefined cut-off and a sensitivity of 97% (95% CI, 90−100%), a specificity of 30% (95% CI, 19−42%) and an overall diagnostic accuracy of 84% (95% CI, 76−89%) were estimated. For 99mTc depreotide SPECT a sensitivity of 94% (95% CI, 86−98%), a specificity of 58% (95% CI, 45−69%) and an overall diagnostic accuracy of 76% (95% CI, 68–83%) were estimated (Figures 1 and 2; Tables 24).

Figure 2.

Figure 2

Non-parametric receiver operating characteristic (ROC) curves of overall sensitivity and 1-specificity of CT and 99mTc depreotide single photon emission CT (SPECT). When applicable, the area under the parametric ROC curve represents a measure of the unbiased overall diagnostic accuracy of a test. Non-parametric estimates of the area under the ROC curve tend to underestimate the “smooth curve” area (i.e. parametric estimates).

Table 2. CT malignancy potential ratings (MPRs) and reference standard (n=140).

MPR Reference standard
Malignant Benign
Malignant 53 (77%) 10 (14%)
Indeterminate 14 (20%) 40 (56%)
Benign 2 (3%) 21 (30%)
Total 69 (100%) 71 (100%)
Fisher's exact p<0.001

Table 4. Overall comparison of CT and 99mTc depreotide single photon emission CT (SPECT) classification probabilities, predictive values and overall diagnostic accuracy (n=140).

CT (%) SPECT (%)
Prevalence 49 (41−58) 49 (41−58)
Sensitivity 97 (90−100) 94 (86−98)
Specificity 30 (19−42) 58 (45−69)
PPV 57 (48−66) 68 (58−78)
NPV 91 (72−99) 91 (79−98)
Accuracy 84 (76−89) 76 (68−83)

NPV, negative predictive value; PPV, positive predictive value.

Diagnostic test variables derived from Tables 2 and 3. Results are shown as estimates and 95 confidence intervals.

Table 3. 99mTc depreotide single photon emission CT (SPECT) grades and reference standard (n=140).

SPECT grade Reference standard
Malignant Benign
Positive 65 (94%) 30 (42%)
Negative 4 (6%) 41 (58%)
Total 69 (100%) 71 (100%)
Fisher's exact p<0.001

Sub-group analyses

99mTc depreotide SPECT results when CT was malignant

Sensitivity was 100% (95% CI, 93−100%), specificity was 20% (95% CI, 3−56%) and the overall diagnostic accuracy was 60% (95% CI, 47−72%).

99mTc depreotide SPECT results when CT was indeterminate

Sensitivity was 71% (95% CI, 42−92%), specificity was 68% (95% CI, 51−81%) and the overall diagnostic accuracy was 69% (95% CI, 56−82%).

99mTc depreotide SPECT results when CT was benign

Sensitivity was 100% (95% CI, 16−100%), specificity was 57% (95% CI, 34−78%) and the overall diagnostic accuracy was 79% (95% CI, 56−93%) (Figure 3; Table 5).

Figure 3.

Figure 3

99mTc depreotide single photon emission CT (SPECT) results stratified by CT results.

Table 5. 99mTc depreotide single photon emission CT (SPECT) results stratified by CT results.
SPECT (CT1) (n=23) SPECT (CT2) (n=54) SPECT (CT3) (n=63)
Prevalence 9% (1−28%) 26% (15−40%) 84% (73−92%)
Sensitivity 100% (16−100%) 71% (42−92%) 100% (93−100%)
Specificity 57% (34−78%) 68% (51−81%) 20% (3−56%)
PPV 18% (2−52%) 43% (23−66%) 87% (76−94%)
NPV 100% (74−100%) 87% (70−96%) 100% (16−100%)
Accuracy 79% (56−93%) 69% (56−82%) 60% (47−72%)

NPV, negative predictive value; PPV, positive predictive value; SPECT(CT1), 99mTc depreotide SPECT results when CT was benign; SPECT(CT2), 99mTc depreotide SPECT results when CT was indeterminate; SPECT(CT3), 99mTc depreotide SPECT results when CT was malignant.

Diagnostic test variables with estimates and 95% confidence intervals.

Discussion

We performed a prospective follow-up study and included 140 participants suspected of lung cancer. All participants underwent a contrast-enhanced MDCT scan with an additional non-contrast enhanced HRCT scan and a 99mTc depreotide SPECT scan. In the first part of the study overall results of CT and 99mTc depreotide SPECT were assessed individually and compared. For CT a three-category MPR was significantly associated with malignancy. Thus, sensitivity was very high. However, participants with malignant and indeterminate lesions were treated alike; therefore, there was an expected trade-off in the form of a low specificity. When reviewing the ROC curve, overall diagnostic accuracy was high. For 99mTc depreotide SPECT a dichotomous grading system was significantly associated with malignancy with a very high sensitivity. However, for 99mTc depreotide SPECT specificity was higher. Interestingly though, when reviewing the ROC curve, overall diagnostic accuracy was lower than for CT. Statistically, this controversy reflects the limited information obtained by a rigid dichotomous grading system, and the result is likely to represent an underestimation of the “true” diagnostic accuracy of 99mTc depreotide SPECT. In the second part of the study 99mTc depreotide SPECT results were stratified by CT results. These results lead us to conclude that a 99mTc depreotide SPECT examination may be useful for the group of patients rated malignant by CT. These patients need further examinations and 99mTc depreotide SPECT correctly identified all truly diseased patients, albeit with a high number of false positives (Figures 4 and 6a,b; Table 5). Conversely, while previous studies have focused on the benefit of 99mTc depreotide SPECT for the group of patients with indeterminate lesions, our subgroup analysis could not confirm these results. Although this group of patients represent a substantial diagnostic problem, our study had only a moderate sensitivity reflecting unacceptable high numbers of false negatives, which were later identified as an SCLC and regular adenocarcinomas (Figures 5 and 6c,d; Table 5). Owing to the limited number of patients with benign lesions, we considered it inappropriate to make any conclusions regarding these.

Figure 4.

Figure 4

(a, b) Pulmonary lesions rated “malignant” by CT. Biopsies revealed a small-cell carcinoma and an adenocarcinoma. Both participants were female: a 60-year-old and 54-year-old, respectively. Both: C-425; W1400.

Figure 6.

Figure 6

(a, b) The same lesions as in Figure 4. Both lesions were rated positive by 99mTc depreotide single photon emission CT (SPECT) and thereby represent true positives. (c, d) The same lesions as in Figure 5. Both lesions were rated negative by 99mTc depreotide SPECT and thereby represent false negatives. This illustrates a major issue; 99mTc depreotide SPECT is both highly sensitive and specific when it comes to highly suspicious lesions. However, sensitivity drops significantly when it comes to indeterminate lesions.

Figure 5.

Figure 5

(a, b) Pulmonary lesions rated “indeterminate” by CT. Biopsies revealed two adenocarcinomas. Both participants were female, a 72-year-old and 49-year-old, respectively. Both: C-425; W1400.

Conclusively, both CT and 99mTc depreotide SPECT made valuable contributions to the evaluation of pulmonary lesions. However, 99mTc depreotide SPECT results were not superior to CT results and did not contribute further to the diagnostic work-up. Furthermore, with regard to indeterminate lesions, 99mTc depreotide SPECT sensitivity was too low.

There are multiple strengths to our study. Firstly we designed a prospective follow-up study and carried out an extensive blinding procedure. Secondly, GCP rules and regulations were followed and we were thereby able to achieve high validity of our data and thirdly, we included 140 consecutive participants, thereby making our single-centre study one of the largest ever published on this issue. Finally, we compared participants with non-participants on several demographic parameters and found no discrepancies.

Recently, the most influential 99mTc depreotide SPECT studies have been meta-analyses, in which CT, 99mTc depreotide SPECT, 18-FDG PET and MRI are considered equally accurate when characterising solitary pulmonary nodules [3]. Although the part of the meta-analysis regarding 99mTc depreotide SPECT rests on a limited number of studies and patients, the results closely resemble ours [3] and thereby support our overall results of non-superiority.

A number of different approaches are used when confronted with the risk of lung cancer or the discovery of a pulmonary lesion. While most institutions offer selected patients an MDCT scan of the chest and upper abdomen, some institutions engage in screening studies, typically applying low dose CT to a large patient population with varying degrees of success [15,16] and debatable benefits for the patient [17]. Also the use of 18-FDG PET for the characterisation of pulmonary lesions is growing [18]. However, although a number of studies have established 18-FDG PET is superior to CT, with regard to characterising pulmonary lesions, the modality suffers from both false positive and false negative results, and whereas false positive lesions may be considered annoying, false negatives are detrimental. These considerations mean there is no simple recommendation for the use of 18-FDG PET in the work-up of pulmonary lesions. Still, new options keep emerging, e.g. perfusion CT [19].

We began this study to compare the established imaging modality, CT, to the new and rather expensive modality 99mTc depreotide SPECT. Based on our preliminary report we hoped to achieve both higher sensitivity and specificity, and we were especially interested in the results for indeterminate lesions. However, after finishing the study we must conclude that 99mTc depreotide SPECT is difficult to recommend because the results were not superior to CT results and did not contribute further to the diagnostic work-up. Furthermore, with regard to indeterminate lesions, 99mTc depreotide SPECT sensitivity was too low.

Conclusion

While CT remains the workhorse of lung cancer diagnostics, 99mTc depreotide SPECT, being both expensive and time-consuming, has no place in a standard clinical examination algorithm.

Acknowledgments

SWH, HHM, FR, KH and MR were involved in the conception and design of the study. TRR included the participants. SWH created the dataset. SWH, HHM, FR, KH and MR performed the analysis and data interpretation. SWH drafted the article. All authors were involved in the critical revision of the manuscript and gave final approval of the version submitted. SWH is guarantor.

References

  • 1.Anonymous. National Cancer Institute. US National Institutes of Health. Available at: http://seer.cancer.gov/csr/1975_2008/ [Google Scholar]
  • 2.Rasmussen K, Madsen HH, Rasmussen F, Rasmussen TR, Baandrup U, Pilegaard HK, et al. The value of HRCT and tc-depreotide in the evaluation of pulmonary lesions. J Thorac Oncol 2006;1:296–301 [PubMed] [Google Scholar]
  • 3.Cronin P, Dwamena BA, Kelly AM, Carlos RC. Solitary pulmonary nodules: meta-analytic comparison of cross-sectional imaging modalities for diagnosis of malignancy. Radiology 2008;246:772–82 [DOI] [PubMed] [Google Scholar]
  • 4.Siegelman SS, Khouri NF, Leo FP, Fishman EK, Braverman RM, Zerhouni EA. Solitary pulmonary nodules: CT assessment. Radiology 1986;160:307–12 [DOI] [PubMed] [Google Scholar]
  • 5.Furuya K, Murayama S, Soeda H, Murakami J, Ichinose Y, Yabuuchi H, et al. New classification of small pulmonary nodules by margin characteristics on high-resolution CT. Acta Radiol 1999;40:496–504 [DOI] [PubMed] [Google Scholar]
  • 6.Henschke CI, Yankelevitz DF, Mirtcheva R, McGuinness G, McCauley D, Miettinen OS, et al. CT screening for lung cancer: frequency and significance of part-solid and nonsolid nodules. AJR Am J Roentgenol 2002;178:1053–7 [DOI] [PubMed] [Google Scholar]
  • 7.Zerhouni EA, Stitik FP, Siegelman SS, Naidich DP, Sagel SS, Proto AV, et al. CT of the pulmonary nodule: a cooperative study. Radiology 1986;160:319–27 [DOI] [PubMed] [Google Scholar]
  • 8.Mahoney MC, Shipley RT, Corcoran HL, Dickson BA. CT demonstration of calcification in carcinoma of the lung. AJR Am J Roentgenol 1990;154:255–8 [DOI] [PubMed] [Google Scholar]
  • 9.Tsuboi E, Ikeda S, Tajima M, Shimosato Y, Ishikawa S. Transbronchial biopsy smear for diagnosis of peripheral pulmonary carcinomas. Cancer 1967;20:687–98 [DOI] [PubMed] [Google Scholar]
  • 10.Mori K, Saitou Y, Tominaga K, Yokoi K, Miyazawa N, Okuyama A, et al. Small nodular lesions in the lung periphery: new approach to diagnosis with CT. Radiology 1990;177:843–9 [DOI] [PubMed] [Google Scholar]
  • 11.Seemann MD, Staebler A, Beinert T, Dienemann H, Obst B, Matzko M, et al. Usefulness of morphological characteristics for the differentiation of benign from malignant solitary pulmonary lesions using HRCT. Eur Radiol 1999;9:409–17 [DOI] [PubMed] [Google Scholar]
  • 12.Yankelevitz DF, Henschke CI. Does 2-year stability imply that pulmonary nodules are benign? AJR Am J Roentgenol 1997;168:325–8 [DOI] [PubMed] [Google Scholar]
  • 13.Weinstein S, Obuchowski NA, Lieber ML. Clinical evaluation of diagnostic tests. Am J Roentgenol 2005;184:14–19 [DOI] [PubMed] [Google Scholar]
  • 14.Obuchowski NA. ROC analysis. AJR Am J Roentgenol 2005;184:364–72 [DOI] [PubMed] [Google Scholar]
  • 15.Henschke CI, McCauley DI, Yankelevitz DF, Naidich DP, McGuinness G, Miettinen OS, et al. Early lung cancer action project: overall design and findings from baseline screening. Lancet 1999;354:99–105 [DOI] [PubMed] [Google Scholar]
  • 16.Swensen SJ, Jett JR, Hartman TE, Midthun DE, Mandrekar SJ, Hillman SJ, et al. CT screening for lung cancer: five-year prospective experience. Radiology 2005;235:259–65 [DOI] [PubMed] [Google Scholar]
  • 17.Bach PB, Jett JR, Pastorino U, Tockman MS, Swensen SJ, Begg CB. Computed tomography screening and lung cancer outcomes. JAMA 2007;297:953–61 [DOI] [PubMed] [Google Scholar]
  • 18.Detterbeck FC, Falen S, Rivera MP, Halle JS, Socinski MA. Seeking a home for a PET, part 1: defining the appropriate place for positron emission tomography imaging in the diagnosis of pulmonary nodules or masses. Chest 2004;125:2294–9 [DOI] [PubMed] [Google Scholar]
  • 19.Miles KA, Griffiths MR, Keith CJ. Blood flow-metabolic relationships are dependent on tumour size in non-small cell lung cancer: a study using quantitative contrast-enhanced computer tomography and positron emission tomography. Eur J Nucl Med Mol Imaging 2006;33:22–8 [DOI] [PubMed] [Google Scholar]

Articles from The British Journal of Radiology are provided here courtesy of Oxford University Press

RESOURCES