Is there a relationship between Diffusion Weighted Imaging and Histopathological Type in Brain Metastases Due to Breast Cancer?
Öz
Aim: The aim of this study is to evaluate the relationship between diffusion-weighted imaging (DWI) properties and apparent diffusion coefficient (ADC) values of metastases with the histological type of breast cancer in patients with breast cancer-related brain metastasis.
Material and Methods: Between May 2008 - April 2011, 57 female patients who had been previously diagnosed with breast cancer in the radiology clinic were included in the study. Cases with invasive ductal carcinoma were considered group 1 (46 patients, 89 lesions) and cases with invasive lobular, comedo carcinoma and papillary cribriform carcinoma were considered group 2 ( 11 patients, 25 lesions). ADC values in both groups were compared by statistical analysis methods.
Results: In group 1; 37 lesions (41.57%) and in group 2; 13 lesions (52%) included cystic component. In the group of invasive ductal carcinoma 48 lesions (53.92%) and 18 lesions (72%) of second group included peritumoral edema. The mean ADC value of the solid component of metastases (group1: 1.105x10-3mm2/ s, group2: 1.099x10-3mm2/ s) was higher than the average ADC value of normal brain parenchyma (group1: 0.790x10-3mm2/s, group2: 0.801x10-3mm2/s), and was statistically significant (p<0.001). In the comparison between the groups, no statistically significant difference was found between the mean ADC values of the solid components of metastases (p= 0.931).
Conclusion: In our study, mean ADC values in brain metastases due to breast cancer were significantly higher than normal brain parenchyma. However, no statistically significant difference was found in the comparison of ADC values of the groups formed according to histopathological subtypes.
Anahtar Kelimeler
Breast Carcinoma diffusion-weighted imaging apparent diffusion coefficient
Proje Numarası
yok
Kaynakça
- Custodio-Santos T, Videira M, Brito MA. Brain metastasization of breast cancer. Biochim Biophys Acta Rev Cancer. 2017; 1868(1): 132-47.
- Saha A, Ghosh SK, Roy C, Choudhury KB, Chakrabarty B, Sarkar R. Demographic and clinical profile of patients with brain metastases: A retrospective study. Asian J Neurosurg. 2013; 8(3): 157-61.
- Puac-Polanco P, Zakhari N, Miller J, McComiskey D, Thornhill RE, Jansen GH, et al. Diagnostic accuracy of centrally restricted diffusion sign in cerebral metastatic disease: differentiating radiation necrosis from tumor recurrence. Can Assoc Radiol J. 2023; 74(1): 100-9.
- Romano A, Palizzi S, Romano A, Moltoni G, Di Napoli A, Maccioni F, et al. Diffusion weighted imaging in neuro-oncology: diagnosis, post-treatment changes, and advanced sequences-an updated review. Cancers (Basel). 2023; 15(3): 618.
- Alshoabi SA, Alkalady AH, Almas KM, Magram AO, Algaberi AK, Alareqi AA, et al. Hydatid disease: a radiological pictorial review of a great neoplasms mimicker. Diagnostics (Basel). 2023; 13(6): 1127.
- Gonçalves FG, Zandifar A, Ub Kim JD, Tierradentro-García LO, Ghosh A, Khrichenko D, et al. Application of apparent diffusion coefficient histogram metrics for differentiation of pediatric posterior fossa tumors: a large retrospective study and brief review of literature. Clin Neuroradiol. 2022; 32(4): 1097-108.
- Phuttharak W, Wannasarnmetha M, Lueangingkasut P, Waraasawapati S, Mukherji SK. Differentiation between germinoma and other pineal region tumors using diffusion-and susceptibility-weighted MRI. Eur J Radiol. 2023; 159: 110663.
- Kato H, Kawaguchi M, Ando T, Shibata H, Ogawa T, Noda Y, et al. Current status of diffusion-weighted imaging in differentiating parotid tumors. Auris Nasus Larynx. 2023; 50(2): 187-95.
- Srirambhatla A, Hosamani RD, Nandury EC. The role of diffusion-weighted imaging in the evaluation of adnexal lesions. Pol J Radiol. 2022; 87: e469-77.
- Broncano J, Steinbrecher K, Marquis KM, Raptis CA, Royuela Del Val J, Vollmer I, et al. Diffusion-weighted imaging of the chest: a primer for radiologists. Radiographics. 2023; 43(7): e220138.
- Fujii S, Gonda T, Yunaga H. clinical utility of diffusion-weighted imaging in gynecological imaging: Revisited. Invest Radiol. 2024; 59(1): 78-91.
- Fritz V, Martirosian P, Machann J, Thorwarth D, Schick F. Soy lecithin: A beneficial substance for adjusting the ADC in aqueous solutions to the values of biological tissues. Magn Reson Med. 2023; 89(4): 1674-83.
- Sugahara T, Korogi Y, Kochi M, Ikushima I, Shigematu Y, Hirai T, et al. Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging. 1999; 9(1): 53-60.
- Song Y, Yoon YC, Chong Y, Seo SW, Choi YL, Sohn I, et al. Diagnostic performance of conventional MRI parameters and apparent diffusion coefficient values in differentiating between benign and malignant soft-tissue tumours. Clin Radiol. 2017; 72(8): 691.e1-.e10.
- Tyagi N, Riaz N, Hunt M, Wengler K, Hatzoglou V, Young R, et al. Weekly response assessment of involved lymph nodes to radiotherapy using diffusion-weighted MRI in oropharynx squamous cell carcinoma. Med Phys. 2016; 43(1): 137.
- Rahbar H, Partridge SC, Ha R. Editorial for "Stromal collagen content in breast tumors correlates with in vivo diffusion-weighted imaging: a comparison of multi b-value dwi with histologic specimen from benign and malignant breast lesions". J Magn Reson Imaging. 2020; 51(6): 1879-80.
- Ding Y, Tan Q, Mao W, Dai C, Hu X, Hou J, et al. Differentiating between malignant and benign renal tumors: do IVIM and diffusion kurtosis imaging perform better than DWI? Eur Radiol. 2019; 29(12): 6930-39.
- Choi YJ, Lee IS, Song YS, Kim JI, Choi KU, Song JW. Diagnostic performance of diffusion-weighted (DWI) and dynamic contrast-enhanced (DCE) MRI for the differentiation of benign from malignant soft-tissue tumors. J Magn Reson Imaging. 2019; 50(3): 798-809.
- Noguchi K, Watanabe N, Nagayoshi T, Kanazawa T, Toyoshima S, Shimizu M, et al. Role of diffusion-weighted echo-planar MRI in distinguishing between brain brain abscess and tumour: a preliminary report. Neuroradiology. 1999; 41(3): 171-4.
- Hakyemez B, Ergin N, Uysal S, Isik İ, Kilic E. Diffusion weighted MRI in brain abscess and necrotic tumor differentiation. Diagn Interv Radiol 2004; 10: 110-18.
- Santos J, Arantes J, Carneiro E, Ferreira D, Silva SM, Palma de Sousa S, et al. Brain metastases from breast cancer. Clin Neurol Neurosurg. 2020; 197: 106150.
- Yamasaki F, Kurisu K, Satoh K, Arita K, Sugiyama K, Ohtaki M, et al. Apparent diffusion coefficient of human brain tumors at MR imaging. Radiology. 2005; 235(3): 985-91.
- Zhang G, Chen X, Zhang S, Ruan X, Gao C, Liu Z, et al. Discrimination between solitary brain metastasis and glioblastoma multiforme by using adc-based texture analysis: a comparison of two different roi placements. Acad Radiol. 2019; 26(11): 1466-72.
Meme Kanserine Bağlı Beyin Metastazlarında Difüzyon Ağırlıklı Görüntüleme ile Histopatolojik Tip Arasında Bir İlişki Var mı?
Öz
Amaç: Bu çalışmanın amacı, meme kanserine bağlı beyin metastazı olan hastalarda meme kanserinin histolojik tipi ile metastazların difüzyon ağırlıklı görüntüleme (DAG) özellikleri ve görünür difüzyon katsayısı değerleri (ADC) arasındaki ilişkiyi değerlendirmektir.
Gereç ve Yöntemler: Mayıs 2008-Nisan 2011 tarihleri arasında daha önce radyoloji kliniğinde meme kanseri tanısı almış 57 kadın hasta çalışmaya dahil edildi. İnvaziv duktal karsinomlu olgular grup 1 (46 hasta, 89 lezyon) ve invaziv lobüler, komedo karsinom ve papiller kribriform karsinomlu olgular grup 2 (11 hasta, 25 lezyon) olarak değerlendirildi. Her iki gruptaki ADC değerleri istatistiksel analiz yöntemleri ile karşılaştırıldı.
Bulgular: Birinci grupta; 37 lezyon (%41,57) ve grup 2'de; 13 lezyon (%52) kistik komponent içeriyordu. İnvaziv duktal karsinom grubunda 48 lezyon (%53,92), ikinci grupta 18 lezyon (%72) peritümöral ödem içeriyordu. Solid metastazlarda ortalama ADC değeri (grup 1: 1,105x10-3mm2/s, grup2: 1,099 x10-3mm2/s normal beyin parankiminin ortalama ADC değerinden (grup 1: 0,790 x10-3mm2/s, grup2: 0,801 x10-3mm2/s) yüksekti ve fark istatistiksel olarak anlamlıydı (p<0.001). Gruplar arası karşılaştırmada solid metastazların ortalama ADC değerleri arasında istatistiksel olarak anlamlı fark bulunmadı (p=0,931).
Sonuç: Çalışmamızda meme kanserine bağlı beyin metastazlarında ortalama ADC değerleri normal beyin parankimine göre anlamlı olarak yüksek bulundu. Ancak histopatolojik alt tiplere göre oluşturulan grupların ADC değerleri karşılaştırıldığında istatistiksel olarak anlamlı fark bulunmadı.
Anahtar Kelimeler
Meme Kanseri Difüzyon Ağırlıklı Görüntüleme Görünür Difüzyon Katsayısı
Destekleyen Kurum
yok
Proje Numarası
yok
Kaynakça
- Custodio-Santos T, Videira M, Brito MA. Brain metastasization of breast cancer. Biochim Biophys Acta Rev Cancer. 2017; 1868(1): 132-47.
- Saha A, Ghosh SK, Roy C, Choudhury KB, Chakrabarty B, Sarkar R. Demographic and clinical profile of patients with brain metastases: A retrospective study. Asian J Neurosurg. 2013; 8(3): 157-61.
- Puac-Polanco P, Zakhari N, Miller J, McComiskey D, Thornhill RE, Jansen GH, et al. Diagnostic accuracy of centrally restricted diffusion sign in cerebral metastatic disease: differentiating radiation necrosis from tumor recurrence. Can Assoc Radiol J. 2023; 74(1): 100-9.
- Romano A, Palizzi S, Romano A, Moltoni G, Di Napoli A, Maccioni F, et al. Diffusion weighted imaging in neuro-oncology: diagnosis, post-treatment changes, and advanced sequences-an updated review. Cancers (Basel). 2023; 15(3): 618.
- Alshoabi SA, Alkalady AH, Almas KM, Magram AO, Algaberi AK, Alareqi AA, et al. Hydatid disease: a radiological pictorial review of a great neoplasms mimicker. Diagnostics (Basel). 2023; 13(6): 1127.
- Gonçalves FG, Zandifar A, Ub Kim JD, Tierradentro-García LO, Ghosh A, Khrichenko D, et al. Application of apparent diffusion coefficient histogram metrics for differentiation of pediatric posterior fossa tumors: a large retrospective study and brief review of literature. Clin Neuroradiol. 2022; 32(4): 1097-108.
- Phuttharak W, Wannasarnmetha M, Lueangingkasut P, Waraasawapati S, Mukherji SK. Differentiation between germinoma and other pineal region tumors using diffusion-and susceptibility-weighted MRI. Eur J Radiol. 2023; 159: 110663.
- Kato H, Kawaguchi M, Ando T, Shibata H, Ogawa T, Noda Y, et al. Current status of diffusion-weighted imaging in differentiating parotid tumors. Auris Nasus Larynx. 2023; 50(2): 187-95.
- Srirambhatla A, Hosamani RD, Nandury EC. The role of diffusion-weighted imaging in the evaluation of adnexal lesions. Pol J Radiol. 2022; 87: e469-77.
- Broncano J, Steinbrecher K, Marquis KM, Raptis CA, Royuela Del Val J, Vollmer I, et al. Diffusion-weighted imaging of the chest: a primer for radiologists. Radiographics. 2023; 43(7): e220138.
- Fujii S, Gonda T, Yunaga H. clinical utility of diffusion-weighted imaging in gynecological imaging: Revisited. Invest Radiol. 2024; 59(1): 78-91.
- Fritz V, Martirosian P, Machann J, Thorwarth D, Schick F. Soy lecithin: A beneficial substance for adjusting the ADC in aqueous solutions to the values of biological tissues. Magn Reson Med. 2023; 89(4): 1674-83.
- Sugahara T, Korogi Y, Kochi M, Ikushima I, Shigematu Y, Hirai T, et al. Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging. 1999; 9(1): 53-60.
- Song Y, Yoon YC, Chong Y, Seo SW, Choi YL, Sohn I, et al. Diagnostic performance of conventional MRI parameters and apparent diffusion coefficient values in differentiating between benign and malignant soft-tissue tumours. Clin Radiol. 2017; 72(8): 691.e1-.e10.
- Tyagi N, Riaz N, Hunt M, Wengler K, Hatzoglou V, Young R, et al. Weekly response assessment of involved lymph nodes to radiotherapy using diffusion-weighted MRI in oropharynx squamous cell carcinoma. Med Phys. 2016; 43(1): 137.
- Rahbar H, Partridge SC, Ha R. Editorial for "Stromal collagen content in breast tumors correlates with in vivo diffusion-weighted imaging: a comparison of multi b-value dwi with histologic specimen from benign and malignant breast lesions". J Magn Reson Imaging. 2020; 51(6): 1879-80.
- Ding Y, Tan Q, Mao W, Dai C, Hu X, Hou J, et al. Differentiating between malignant and benign renal tumors: do IVIM and diffusion kurtosis imaging perform better than DWI? Eur Radiol. 2019; 29(12): 6930-39.
- Choi YJ, Lee IS, Song YS, Kim JI, Choi KU, Song JW. Diagnostic performance of diffusion-weighted (DWI) and dynamic contrast-enhanced (DCE) MRI for the differentiation of benign from malignant soft-tissue tumors. J Magn Reson Imaging. 2019; 50(3): 798-809.
- Noguchi K, Watanabe N, Nagayoshi T, Kanazawa T, Toyoshima S, Shimizu M, et al. Role of diffusion-weighted echo-planar MRI in distinguishing between brain brain abscess and tumour: a preliminary report. Neuroradiology. 1999; 41(3): 171-4.
- Hakyemez B, Ergin N, Uysal S, Isik İ, Kilic E. Diffusion weighted MRI in brain abscess and necrotic tumor differentiation. Diagn Interv Radiol 2004; 10: 110-18.
- Santos J, Arantes J, Carneiro E, Ferreira D, Silva SM, Palma de Sousa S, et al. Brain metastases from breast cancer. Clin Neurol Neurosurg. 2020; 197: 106150.
- Yamasaki F, Kurisu K, Satoh K, Arita K, Sugiyama K, Ohtaki M, et al. Apparent diffusion coefficient of human brain tumors at MR imaging. Radiology. 2005; 235(3): 985-91.
- Zhang G, Chen X, Zhang S, Ruan X, Gao C, Liu Z, et al. Discrimination between solitary brain metastasis and glioblastoma multiforme by using adc-based texture analysis: a comparison of two different roi placements. Acad Radiol. 2019; 26(11): 1466-72.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Klinik Tıp Bilimleri (Diğer) |
| Bölüm | Araştırma Makaleleri |
| Yazarlar | |
| Proje Numarası | yok |
| Yayımlanma Tarihi | 16 Ocak 2024 |
| Gönderilme Tarihi | 20 Ağustos 2023 |
| Yayımlandığı Sayı | Yıl 2024 Cilt: 14 Sayı: 1 |
