Skip to main content
Erschienen in: European Radiology 2/2018

07.08.2017 | Computed Tomography

Prognostic value and molecular correlates of a CT image-based quantitative pleural contact index in early stage NSCLC

verfasst von: Juheon Lee, Yi Cui, Xiaoli Sun, Bailiang Li, Jia Wu, Dengwang Li, Michael F Gensheimer, Billy W Loo Jr., Maximilian Diehn, Ruijiang Li

Erschienen in: European Radiology | Ausgabe 2/2018

Einloggen, um Zugang zu erhalten

Abstract

Purpose

To evaluate the prognostic value and molecular basis of a CT-derived pleural contact index (PCI) in early stage non-small cell lung cancer (NSCLC).

Experimental design

We retrospectively analysed seven NSCLC cohorts. A quantitative PCI was defined on CT as the length of tumour-pleura interface normalised by tumour diameter. We evaluated the prognostic value of PCI in a discovery cohort (n = 117) and tested in an external cohort (n = 88) of stage I NSCLC. Additionally, we identified the molecular correlates and built a gene expression-based surrogate of PCI using another cohort of 89 patients. To further evaluate the prognostic relevance, we used four datasets totalling 775 stage I patients with publically available gene expression data and linked survival information.

Results

At a cutoff of 0.8, PCI stratified patients for overall survival in both imaging cohorts (log-rank p = 0.0076, 0.0304). Extracellular matrix (ECM) remodelling was enriched among genes associated with PCI (p = 0.0003). The genomic surrogate of PCI remained an independent predictor of overall survival in the gene expression cohorts (hazard ratio: 1.46, p = 0.0007) adjusting for age, gender, and tumour stage.

Conclusions

CT-derived pleural contact index is associated with ECM remodelling and may serve as a noninvasive prognostic marker in early stage NSCLC.

Key points

A quantitative pleural contact index (PCI) predicts survival in early stage NSCLC.
PCI is associated with extracellular matrix organisation and collagen catabolic process.
A multi-gene surrogate of PCI is an independent predictor of survival.
PCI can be used to noninvasively identify patients with poor prognosis.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Zurück zum Zitat Siegel RL, Miller KD, Jemal A (2015) Cancer statistics, 2016. A Cancer Journal for Clinicians, CA Siegel RL, Miller KD, Jemal A (2015) Cancer statistics, 2016. A Cancer Journal for Clinicians, CA
2.
Zurück zum Zitat Aberle DR, DeMello S, Berg CD et al (2013) Results of the two incidence screenings in the National Lung Screening Trial. N Engl J Med 369:920–931CrossRefPubMedPubMedCentral Aberle DR, DeMello S, Berg CD et al (2013) Results of the two incidence screenings in the National Lung Screening Trial. N Engl J Med 369:920–931CrossRefPubMedPubMedCentral
3.
Zurück zum Zitat Bradley JD, El Naqa I, Drzymala RE, Trovo M, Jones G, Denning MD (2010) Stereotactic body radiation therapy for early-stage non-small-cell lung cancer: the pattern of failure is distant. Int J Radiat Oncol Biol Phys 77:1146–1150CrossRefPubMed Bradley JD, El Naqa I, Drzymala RE, Trovo M, Jones G, Denning MD (2010) Stereotactic body radiation therapy for early-stage non-small-cell lung cancer: the pattern of failure is distant. Int J Radiat Oncol Biol Phys 77:1146–1150CrossRefPubMed
4.
Zurück zum Zitat Senthi S, Lagerwaard FJ, Haasbeek CJ, Slotman BJ, Senan S (2012) Patterns of disease recurrence after stereotactic ablative radiotherapy for early stage non-small-cell lung cancer: a retrospective analysis. Lancet Oncol 13:802–809CrossRefPubMed Senthi S, Lagerwaard FJ, Haasbeek CJ, Slotman BJ, Senan S (2012) Patterns of disease recurrence after stereotactic ablative radiotherapy for early stage non-small-cell lung cancer: a retrospective analysis. Lancet Oncol 13:802–809CrossRefPubMed
5.
Zurück zum Zitat Neal JW, Gainor JF, Shaw AT (2015) Developing biomarker-specific end points in lung cancer clinical trials. Nat Rev Clin Oncol 12:135–146CrossRefPubMed Neal JW, Gainor JF, Shaw AT (2015) Developing biomarker-specific end points in lung cancer clinical trials. Nat Rev Clin Oncol 12:135–146CrossRefPubMed
6.
7.
Zurück zum Zitat Friedl P, Alexander S (2011) Cancer invasion and the microenvironment: plasticity and reciprocity. Cell 147:992–1009CrossRefPubMed Friedl P, Alexander S (2011) Cancer invasion and the microenvironment: plasticity and reciprocity. Cell 147:992–1009CrossRefPubMed
9.
Zurück zum Zitat Pickup MW, Mouw JK, Weaver VM (2014) The extracellular matrix modulates the hallmarks of cancer. EMBO reports:e201439246 Pickup MW, Mouw JK, Weaver VM (2014) The extracellular matrix modulates the hallmarks of cancer. EMBO reports:e201439246
10.
Zurück zum Zitat Paszek MJ, Zahir N, Johnson KR et al (2005) Tensional homeostasis and the malignant phenotype. Cancer Cell 8:241–254CrossRefPubMed Paszek MJ, Zahir N, Johnson KR et al (2005) Tensional homeostasis and the malignant phenotype. Cancer Cell 8:241–254CrossRefPubMed
11.
13.
Zurück zum Zitat Fraley SI, Feng YF, Krishnamurthy R et al (2010) A distinctive role for focal adhesion proteins in three-dimensional cell motility. Nat Cell Biol 12:598–U169CrossRefPubMedPubMedCentral Fraley SI, Feng YF, Krishnamurthy R et al (2010) A distinctive role for focal adhesion proteins in three-dimensional cell motility. Nat Cell Biol 12:598–U169CrossRefPubMedPubMedCentral
14.
Zurück zum Zitat Neri S, Yoshida J, Ishii G et al (2014) Prognostic impact of microscopic vessel invasion and visceral pleural invasion in non–small cell lung cancer: a retrospective analysis of 2657 patients. Ann Surg 260:383–388CrossRefPubMed Neri S, Yoshida J, Ishii G et al (2014) Prognostic impact of microscopic vessel invasion and visceral pleural invasion in non–small cell lung cancer: a retrospective analysis of 2657 patients. Ann Surg 260:383–388CrossRefPubMed
15.
Zurück zum Zitat Travis WD, Brambilla E, Rami-Porta R et al (2008) Visceral pleural invasion: pathologic criteria and use of elastic stains: proposal for the 7th edition of the TNM classification for lung cancer. J Thorac Oncol 3:1384–1390CrossRefPubMed Travis WD, Brambilla E, Rami-Porta R et al (2008) Visceral pleural invasion: pathologic criteria and use of elastic stains: proposal for the 7th edition of the TNM classification for lung cancer. J Thorac Oncol 3:1384–1390CrossRefPubMed
16.
Zurück zum Zitat Shimizu K, Yoshida J, Nagai K et al (2005) Visceral pleural invasion is an invasive and aggressive indicator of non-small cell lung cancer. J Thorac Cardiovasc Surg 130:160–165CrossRefPubMed Shimizu K, Yoshida J, Nagai K et al (2005) Visceral pleural invasion is an invasive and aggressive indicator of non-small cell lung cancer. J Thorac Cardiovasc Surg 130:160–165CrossRefPubMed
17.
Zurück zum Zitat Lakha S, Gomez JE, Flores RM, Wisnivesky JP (2014) Prognostic significance of visceral pleural involvement in early-stage lung cancer. CHEST J 146:1619–1626CrossRef Lakha S, Gomez JE, Flores RM, Wisnivesky JP (2014) Prognostic significance of visceral pleural involvement in early-stage lung cancer. CHEST J 146:1619–1626CrossRef
18.
Zurück zum Zitat Huang H, Wang T, Hu B, Pan C (2015) Visceral pleural invasion remains a size-independent prognostic factor in stage I non-small cell lung cancer. Ann Thorac Surg 99:1130–1139CrossRefPubMed Huang H, Wang T, Hu B, Pan C (2015) Visceral pleural invasion remains a size-independent prognostic factor in stage I non-small cell lung cancer. Ann Thorac Surg 99:1130–1139CrossRefPubMed
19.
Zurück zum Zitat Hsu J-S, Han I-T, Tsai T-H et al (2015) Pleural Tags on CT Scans to Predict Visceral Pleural Invasion of Non–Small Cell Lung Cancer That Does Not Abut the Pleura. Radiology 279:590–596CrossRefPubMed Hsu J-S, Han I-T, Tsai T-H et al (2015) Pleural Tags on CT Scans to Predict Visceral Pleural Invasion of Non–Small Cell Lung Cancer That Does Not Abut the Pleura. Radiology 279:590–596CrossRefPubMed
20.
Zurück zum Zitat Ebara K, Takashima S, Jiang B et al (2015) Pleural invasion by peripheral lung cancer: prediction with three-dimensional CT. Acad Radiol 22:310–319CrossRefPubMed Ebara K, Takashima S, Jiang B et al (2015) Pleural invasion by peripheral lung cancer: prediction with three-dimensional CT. Acad Radiol 22:310–319CrossRefPubMed
21.
Zurück zum Zitat Aerts HJWL, Velazquez, ER, Leijenaar RTH, Parmar C, Grossmann P, Cavalho S, Bussink J, Monshouwer R, Haibe-Kains B, Rietveld D, Hoebers F, Rietbergen MM, Leemans R, Dekker A, Quackenbush J, Gillies RJ, Lambin P (2015) Data from NSCLC-Radiomics. Cancer Imaging Archive Aerts HJWL, Velazquez, ER, Leijenaar RTH, Parmar C, Grossmann P, Cavalho S, Bussink J, Monshouwer R, Haibe-Kains B, Rietveld D, Hoebers F, Rietbergen MM, Leemans R, Dekker A, Quackenbush J, Gillies RJ, Lambin P (2015) Data from NSCLC-Radiomics. Cancer Imaging Archive
22.
Zurück zum Zitat Aerts HJWL, Velazquez ER, Leijenaar RTH et al (2014) Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun 5:4006PubMedPubMedCentral Aerts HJWL, Velazquez ER, Leijenaar RTH et al (2014) Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun 5:4006PubMedPubMedCentral
23.
Zurück zum Zitat Clark K, Vendt B, Smith K et al (2013) The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository. J Digit Imaging 26:1045–1057CrossRefPubMedPubMedCentral Clark K, Vendt B, Smith K et al (2013) The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository. J Digit Imaging 26:1045–1057CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat Gentles AJ, Newman AM, Liu CL et al (2015) The prognostic landscape of genes and infiltrating immune cells across human cancers. Nat Med 21:938–945CrossRefPubMedPubMedCentral Gentles AJ, Newman AM, Liu CL et al (2015) The prognostic landscape of genes and infiltrating immune cells across human cancers. Nat Med 21:938–945CrossRefPubMedPubMedCentral
25.
Zurück zum Zitat Goswami CP, Nakshatri H (2013) PROGgene: gene expression based survival analysis web application for multiple cancers. J Clin Bioinform 3:1CrossRef Goswami CP, Nakshatri H (2013) PROGgene: gene expression based survival analysis web application for multiple cancers. J Clin Bioinform 3:1CrossRef
26.
Zurück zum Zitat Li C, Wong WH (2003) DNA-chip analyzer (dChip). In: Parmigiani G, Garrett E, Irizarry R, Zeger S, (eds) The Analysis of Gene Expression Data. Springer, 120–141 Li C, Wong WH (2003) DNA-chip analyzer (dChip). In: Parmigiani G, Garrett E, Irizarry R, Zeger S, (eds) The Analysis of Gene Expression Data. Springer, 120–141
27.
Zurück zum Zitat Imai K, Minamiya Y, Ishiyama K et al (2013) Use of CT to Evaluate Pleural Invasion in Non–Small Cell Lung Cancer: Measurement of the Ratio of the Interface between Tumor and Neighboring Structures to Maximum Tumor Diameter. Radiology 267:619–626CrossRefPubMed Imai K, Minamiya Y, Ishiyama K et al (2013) Use of CT to Evaluate Pleural Invasion in Non–Small Cell Lung Cancer: Measurement of the Ratio of the Interface between Tumor and Neighboring Structures to Maximum Tumor Diameter. Radiology 267:619–626CrossRefPubMed
28.
Zurück zum Zitat Koch GG (1983) Intraclass correlation coefficient. Encycl Stat Sci 4 Koch GG (1983) Intraclass correlation coefficient. Encycl Stat Sci 4
29.
Zurück zum Zitat Bland JM, Altman D (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 327:307–310CrossRef Bland JM, Altman D (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 327:307–310CrossRef
30.
Zurück zum Zitat Park HS, Harder EM, Mancini BR, Decker RH (2015) Central versus Peripheral Tumor Location: Influence on Survival, Local Control, and Toxicity Following Stereotactic Body Radiotherapy for Primary Non–Small-Cell Lung Cancer. J Thorac Oncol 10:832–837CrossRefPubMed Park HS, Harder EM, Mancini BR, Decker RH (2015) Central versus Peripheral Tumor Location: Influence on Survival, Local Control, and Toxicity Following Stereotactic Body Radiotherapy for Primary Non–Small-Cell Lung Cancer. J Thorac Oncol 10:832–837CrossRefPubMed
31.
Zurück zum Zitat Tibshirani R, Hastie T, Narasimhan B, Chu G (2002) Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc Natl Acad Sci 99:6567–6572CrossRefPubMedPubMedCentral Tibshirani R, Hastie T, Narasimhan B, Chu G (2002) Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc Natl Acad Sci 99:6567–6572CrossRefPubMedPubMedCentral
32.
Zurück zum Zitat Huang DW, Sherman BT, Lempicki RA (2009) Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 4:44–57CrossRef Huang DW, Sherman BT, Lempicki RA (2009) Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 4:44–57CrossRef
33.
Zurück zum Zitat Harrell FE, Lee KL, Califf RM, Pryor DB, Rosati RA (1984) Regression modelling strategies for improved prognostic prediction. Stat Med 3:143–152CrossRefPubMed Harrell FE, Lee KL, Califf RM, Pryor DB, Rosati RA (1984) Regression modelling strategies for improved prognostic prediction. Stat Med 3:143–152CrossRefPubMed
34.
Zurück zum Zitat Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B (Methodological):289–300 Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B (Methodological):289–300
35.
Zurück zum Zitat Pignon J-P, Tribodet H, Scagliotti GV et al (2008) Lung adjuvant cisplatin evaluation: a pooled analysis by the LACE Collaborative Group. J Clin Oncol 26:3552–3559CrossRefPubMed Pignon J-P, Tribodet H, Scagliotti GV et al (2008) Lung adjuvant cisplatin evaluation: a pooled analysis by the LACE Collaborative Group. J Clin Oncol 26:3552–3559CrossRefPubMed
36.
Zurück zum Zitat Strauss GM, Herndon JE, Maddaus MA et al (2008) Adjuvant paclitaxel plus carboplatin compared with observation in stage IB non–small-cell lung cancer: CALGB 9633 with the Cancer and Leukemia Group B, Radiation Therapy Oncology Group, and North Central Cancer Treatment Group Study Groups. J Clin Oncol 26:5043–5051CrossRefPubMedPubMedCentral Strauss GM, Herndon JE, Maddaus MA et al (2008) Adjuvant paclitaxel plus carboplatin compared with observation in stage IB non–small-cell lung cancer: CALGB 9633 with the Cancer and Leukemia Group B, Radiation Therapy Oncology Group, and North Central Cancer Treatment Group Study Groups. J Clin Oncol 26:5043–5051CrossRefPubMedPubMedCentral
37.
Zurück zum Zitat Wang H, Schabath MB, Liu Y et al (2015) Semiquantitative computed tomography characteristics for lung adenocarcinoma and their association with lung cancer survival. Clin Lung Cancer 16:e141–e163CrossRefPubMedPubMedCentral Wang H, Schabath MB, Liu Y et al (2015) Semiquantitative computed tomography characteristics for lung adenocarcinoma and their association with lung cancer survival. Clin Lung Cancer 16:e141–e163CrossRefPubMedPubMedCentral
38.
Zurück zum Zitat Wang H, Schabath MB, Liu Y et al (2015) Association between computed tomographic features and kirsten rat sarcoma viral oncogene mutations in patients with stage i lung adenocarcinoma and their prognostic value. Clin Lung Cancer 12:00266–00261 Wang H, Schabath MB, Liu Y et al (2015) Association between computed tomographic features and kirsten rat sarcoma viral oncogene mutations in patients with stage i lung adenocarcinoma and their prognostic value. Clin Lung Cancer 12:00266–00261
39.
Zurück zum Zitat Hsu K-H, Chen K-C, Yang T-Y et al (2011) Epidermal growth factor receptor mutation status in stage I lung adenocarcinoma with different image patterns. J Thorac Oncol 6:1066–1072CrossRefPubMed Hsu K-H, Chen K-C, Yang T-Y et al (2011) Epidermal growth factor receptor mutation status in stage I lung adenocarcinoma with different image patterns. J Thorac Oncol 6:1066–1072CrossRefPubMed
40.
Zurück zum Zitat Lee H-J, Kim YT, Kang CH et al (2013) Epidermal growth factor receptor mutation in lung adenocarcinomas: relationship with CT characteristics and histologic subtypes. Radiology 268:254–264CrossRefPubMed Lee H-J, Kim YT, Kang CH et al (2013) Epidermal growth factor receptor mutation in lung adenocarcinomas: relationship with CT characteristics and histologic subtypes. Radiology 268:254–264CrossRefPubMed
41.
Zurück zum Zitat Rizzo S, Petrella F, Buscarino V et al (2016) CT radiogenomic characterization of EGFR, K-RAS, and ALK mutations in non-small cell lung cancer. Eur Radiol 26:32–42CrossRefPubMed Rizzo S, Petrella F, Buscarino V et al (2016) CT radiogenomic characterization of EGFR, K-RAS, and ALK mutations in non-small cell lung cancer. Eur Radiol 26:32–42CrossRefPubMed
42.
Zurück zum Zitat Hasegawa M, Sakai F, Ishikawa R, Kimura F, Ishida H, Kobayashi K (2016) CT Features of Epidermal Growth Factor Receptor–Mutated Adenocarcinoma of the Lung: Comparison with Nonmutated Adenocarcinoma. J Thorac Oncol 11:819–826CrossRefPubMed Hasegawa M, Sakai F, Ishikawa R, Kimura F, Ishida H, Kobayashi K (2016) CT Features of Epidermal Growth Factor Receptor–Mutated Adenocarcinoma of the Lung: Comparison with Nonmutated Adenocarcinoma. J Thorac Oncol 11:819–826CrossRefPubMed
43.
Zurück zum Zitat Liu Y, Kim J, Qu F et al (2016) CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma. Radiology 280:271–280CrossRefPubMedPubMedCentral Liu Y, Kim J, Qu F et al (2016) CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma. Radiology 280:271–280CrossRefPubMedPubMedCentral
44.
Zurück zum Zitat Wang H, Schabath MB, Liu Y et al (2016) Clinical and CT characteristics of surgically resected lung adenocarcinomas harboring ALK rearrangements or EGFR mutations. Eur J Radiol 85:1934–1940CrossRefPubMedPubMedCentral Wang H, Schabath MB, Liu Y et al (2016) Clinical and CT characteristics of surgically resected lung adenocarcinomas harboring ALK rearrangements or EGFR mutations. Eur J Radiol 85:1934–1940CrossRefPubMedPubMedCentral
45.
Zurück zum Zitat Zhou J, Zheng J, Yu Z et al (2015) Comparative analysis of clinicoradiologic characteristics of lung adenocarcinomas with ALK rearrangements or EGFR mutations. Eur Radiol 25:1257–1266CrossRefPubMed Zhou J, Zheng J, Yu Z et al (2015) Comparative analysis of clinicoradiologic characteristics of lung adenocarcinomas with ALK rearrangements or EGFR mutations. Eur Radiol 25:1257–1266CrossRefPubMed
46.
Zurück zum Zitat Paz H, Pathak N, Yang J (2014) Invading one step at a time: the role of invadopodia in tumor metastasis. Oncogene 33:4193–4202CrossRefPubMed Paz H, Pathak N, Yang J (2014) Invading one step at a time: the role of invadopodia in tumor metastasis. Oncogene 33:4193–4202CrossRefPubMed
47.
48.
Zurück zum Zitat Ganeshan B, Panayiotou E, Burnand K, Dizdarevic S, Miles K (2012) Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival. Eur Radiol 22:796–802CrossRefPubMed Ganeshan B, Panayiotou E, Burnand K, Dizdarevic S, Miles K (2012) Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival. Eur Radiol 22:796–802CrossRefPubMed
49.
Zurück zum Zitat Win T, Miles KA, Janes SM et al (2013) Tumor heterogeneity and permeability as measured on the CT component of PET/CT predict survival in patients with non–small cell lung cancer. Clin Cancer Res 19:3591–3599CrossRefPubMed Win T, Miles KA, Janes SM et al (2013) Tumor heterogeneity and permeability as measured on the CT component of PET/CT predict survival in patients with non–small cell lung cancer. Clin Cancer Res 19:3591–3599CrossRefPubMed
50.
Zurück zum Zitat Grove O, Berglund AE, Schabath MB et al (2015) Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma. PLoS One 10, e0118261CrossRefPubMedPubMedCentral Grove O, Berglund AE, Schabath MB et al (2015) Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma. PLoS One 10, e0118261CrossRefPubMedPubMedCentral
51.
Zurück zum Zitat Coroller TP, Grossmann P, Hou Y et al (2015) CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma. Radiother Oncol 114:345–350CrossRefPubMedPubMedCentral Coroller TP, Grossmann P, Hou Y et al (2015) CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma. Radiother Oncol 114:345–350CrossRefPubMedPubMedCentral
52.
Zurück zum Zitat Huang Y, Liu Z, He L et al (2016) Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer. Radiology 152234 Huang Y, Liu Z, He L et al (2016) Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer. Radiology 152234
53.
Zurück zum Zitat Liu Y, Balagurunathan Y, Atwater T et al (2016) Radiological Image traits Predictive of Cancer Status in Pulmonary Nodules. Clin Cancer Res: Clin. 3102.2016 Liu Y, Balagurunathan Y, Atwater T et al (2016) Radiological Image traits Predictive of Cancer Status in Pulmonary Nodules. Clin Cancer Res: Clin. 3102.2016
54.
Zurück zum Zitat de Bruin EC, McGranahan N, Mitter R et al (2014) Spatial and temporal diversity in genomic instability processes defines lung cancer evolution. Science 346:251–256CrossRefPubMedPubMedCentral de Bruin EC, McGranahan N, Mitter R et al (2014) Spatial and temporal diversity in genomic instability processes defines lung cancer evolution. Science 346:251–256CrossRefPubMedPubMedCentral
Metadaten
Titel
Prognostic value and molecular correlates of a CT image-based quantitative pleural contact index in early stage NSCLC
verfasst von
Juheon Lee
Yi Cui
Xiaoli Sun
Bailiang Li
Jia Wu
Dengwang Li
Michael F Gensheimer
Billy W Loo Jr.
Maximilian Diehn
Ruijiang Li
Publikationsdatum
07.08.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 2/2018
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-4996-4

Weitere Artikel der Ausgabe 2/2018

European Radiology 2/2018 Zur Ausgabe

S3-Leitlinie zu Pankreaskrebs aktualisiert

23.04.2024 Pankreaskarzinom Nachrichten

Die Empfehlungen zur Therapie des Pankreaskarzinoms wurden um zwei Off-Label-Anwendungen erweitert. Und auch im Bereich der Früherkennung gibt es Aktualisierungen.

Fünf Dinge, die im Kindernotfall besser zu unterlassen sind

18.04.2024 Pädiatrische Notfallmedizin Nachrichten

Im Choosing-Wisely-Programm, das für die deutsche Initiative „Klug entscheiden“ Pate gestanden hat, sind erstmals Empfehlungen zum Umgang mit Notfällen von Kindern erschienen. Fünf Dinge gilt es demnach zu vermeiden.

„Nur wer sich gut aufgehoben fühlt, kann auch für Patientensicherheit sorgen“

13.04.2024 Klinik aktuell Kongressbericht

Die Teilnehmer eines Forums beim DGIM-Kongress waren sich einig: Fehler in der Medizin sind häufig in ungeeigneten Prozessen und mangelnder Kommunikation begründet. Gespräche mit Patienten und im Team können helfen.

Wie toxische Männlichkeit der Gesundheit von Männern schadet

08.04.2024 Andrologie Nachrichten

Stark, erfolgreich, allzeit belastbar – das sind Erwartungen, die Jungen und Männer von der Gesellschaft spüren. Das kann sie „toxisch“ werden lassen – und letztlich sogar der Gesundheit schaden, mahnt Dr. Dirk Sander von der Deutschen Aidshilfe.

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.