Dermatopathology, Friedrichshafen, Germany.
Digital Biomarkers for Oncology group (DBO), National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.
J Dtsch Dermatol Ges. 2020 Nov;18(11):1236-1243. doi: 10.1111/ddg.14233. Epub 2020 Aug 25.
Malignant melanoma is the skin tumor that causes most deaths in Germany. At an early stage, melanoma is well treatable, so early detection is essential. However, the skin cancer screening program in Germany has been criticized because although melanomas have been diagnosed more frequently since introduction of the program, the mortality from malignant melanoma has not decreased. This indicates that the observed increase in melanoma diagnoses be due to overdiagnosis, i.e. to the detection of lesions that would never have created serious health problems for the patients. One of the reasons is the challenging distinction between some benign and malignant lesions. In addition, there may be lesions that are biologically equivocal, and other lesions that are classified as malignant according to current criteria, but that grow so slowly that they would never have posed a threat to patient's life. So far, these "indolent" melanomas cannot be identified reliably due to a lack of biomarkers. Moreover, the likelihood that an in-situ melanoma will progress to an invasive tumor still cannot be determined with any certainty. When benign lesions are diagnosed as melanoma, the consequences are unnecessary psychological and physical stress for the affected patients and incurred therapy costs. Vice versa, underdiagnoses in the sense of overlooked melanomas can adversely affect patients' prognoses and may necessitate more intense therapies. Novel diagnostic options could reduce the number of over- and underdiagnoses and contribute to more objective diagnoses in borderline cases. One strategy that has yielded promising results in pilot studies is the use of artificial intelligence-based diagnostic tools. However, these applications still await translation into clinical and pathological routine.
恶性黑素瘤是德国导致死亡人数最多的皮肤肿瘤。在早期,黑素瘤是可以很好治疗的,因此早期发现是至关重要的。然而,德国的皮肤癌筛查计划一直受到批评,因为尽管自该计划实施以来,黑色素瘤的诊断率有所提高,但恶性黑素瘤的死亡率并没有下降。这表明观察到的黑色素瘤诊断增加可能是由于过度诊断,即检测到的病变永远不会给患者带来严重的健康问题。原因之一是一些良性和恶性病变之间的鉴别具有挑战性。此外,可能存在生物学上模棱两可的病变,还有一些根据目前标准分类为恶性的病变,但生长非常缓慢,永远不会对患者的生命构成威胁。到目前为止,由于缺乏生物标志物,这些“惰性”黑素瘤还无法可靠地识别。此外,原位黑素瘤进展为侵袭性肿瘤的可能性仍然无法确定。当良性病变被诊断为黑色素瘤时,会给受影响的患者带来不必要的心理和身体压力,并产生治疗费用。反之,漏诊即忽略黑素瘤,会对患者的预后产生不利影响,并可能需要更强烈的治疗。新的诊断选择可以减少过度诊断和漏诊的数量,并有助于在边界病例中进行更客观的诊断。在试点研究中取得可喜成果的一项策略是使用基于人工智能的诊断工具。然而,这些应用程序仍有待转化为临床和病理常规。