Adem Karaman1, Irmak Durur-Subasi1, Fatih Alper1, Omer Araz2, Mahmut Subasi3, Elif Demirci4, Mevlut Albayrak4, Gökhan Polat1, Metin Akgun2, Nevzat Karabulut5. 1. Department of Radiology, Ataturk University, Medical Faculty, Erzurum, Turkey. 2. Department of Pulmonary Diseases, Ataturk University, Medical Faculty, Erzurum, Turkey. 3. Department of Thoracic Surgery, Erzurum Regional Training and Research Hospital, Erzurum, Turkey. 4. Department of Pathology, Ataturk University, Medical Faculty, Erzurum, Turkey. 5. Department of Radiology, Pamukkale University, Medical Faculty, Denizli, Turkey.
Abstract
BACKGROUND: The primary objective of the study was to evaluate the association between the minimum apparent diffusion coefficient (ADCmin) and Ki-67, an index for cellular proliferation, in non-small cell lung cancers. Also, we aimed to assess whether ADCmin values differ between tumour subtypes and tissue sampling method. METHODS: The patients who had diffusion weighted magnetic resonance imaging (DW-MRI) were enrolled retrospectively. The correlation between ADCmin and the Ki-67 index was evaluated. RESULTS: Ninety three patients, with a mean age 65 ± 11 years, with histopathologically proven adenocarcinoma and squamous cell carcinoma of the lungs and had technically successful DW-MRI were included in the study. The numbers of tumour subtypes were 47 for adenocarcinoma and 46 for squamous cell carcinoma. There was a good negative correlation between ADCmin values and the Ki-67 proliferation index (r = -0.837, p < 0.001). The mean ADCmin value was higher and the mean Ki-67 index was lower in adenocarcinomas compared to squamous cell carcinoma (p < 0.0001). There was no statistical difference between tissue sampling methods. CONCLUSIONS: Because ADCmin shows a good but negative correlation with Ki-67 index, it provides an opportunity to evaluate tumours and their aggressiveness and may be helpful in the differentiation of subtypes non-invasively.
BACKGROUND: The primary objective of the study was to evaluate the association between the minimum apparent diffusion coefficient (ADCmin) and Ki-67, an index for cellular proliferation, in non-small cell lung cancers. Also, we aimed to assess whether ADCmin values differ between tumour subtypes and tissue sampling method. METHODS: The patients who had diffusion weighted magnetic resonance imaging (DW-MRI) were enrolled retrospectively. The correlation between ADCmin and the Ki-67 index was evaluated. RESULTS: Ninety three patients, with a mean age 65 ± 11 years, with histopathologically proven adenocarcinoma and squamous cell carcinoma of the lungs and had technically successful DW-MRI were included in the study. The numbers of tumour subtypes were 47 for adenocarcinoma and 46 for squamous cell carcinoma. There was a good negative correlation between ADCmin values and the Ki-67 proliferation index (r = -0.837, p < 0.001). The mean ADCmin value was higher and the mean Ki-67 index was lower in adenocarcinomas compared to squamous cell carcinoma (p < 0.0001). There was no statistical difference between tissue sampling methods. CONCLUSIONS: Because ADCmin shows a good but negative correlation with Ki-67 index, it provides an opportunity to evaluate tumours and their aggressiveness and may be helpful in the differentiation of subtypes non-invasively.
Authors: Yi Tang; Sathish K Dundamadappa; Senthur Thangasamy; Thomas Flood; Richard Moser; Thomas Smith; Keith Cauley; Deepak Takhtani Journal: AJR Am J Roentgenol Date: 2014-06 Impact factor: 3.959
Authors: Yi Wang; Zongming E Chen; Vahid Yaghmai; Paul Nikolaidis; Robert J McCarthy; Laura Merrick; Frank H Miller Journal: J Magn Reson Imaging Date: 2011-05 Impact factor: 4.813
Authors: Matthew J Wieduwilt; Francisco Valles; Samar Issa; Caroline M Behler; James Hwang; Michael McDermott; Patrick Treseler; Joan O'Brien; Marc A Shuman; Soonmee Cha; Lloyd E Damon; James L Rubenstein Journal: Clin Cancer Res Date: 2012-01-06 Impact factor: 12.531
Authors: W B Pope; A Lai; R Mehta; H J Kim; J Qiao; J R Young; X Xue; J Goldin; M S Brown; P L Nghiemphu; A Tran; T F Cloughesy Journal: AJNR Am J Neuroradiol Date: 2011-02-17 Impact factor: 3.825
Authors: B Martin; M Paesmans; C Mascaux; T Berghmans; P Lothaire; A-P Meert; J-J Lafitte; J-P Sculier Journal: Br J Cancer Date: 2004-12-13 Impact factor: 7.640